From 6dde1cc3a32fae112938b1cd1460796b761240dd Mon Sep 17 00:00:00 2001 From: ssdeanx Date: Mon, 20 Apr 2026 17:18:09 -0400 Subject: [PATCH 1/2] feat: add Convex RAG tools and calendar tool tests - Introduced Convex RAG tools including: - `convexChunker`: A tool for processing document content and storing chunk embeddings in ConvexVector with configurable chunking strategies and embedding generation. - `convexGraphQueryTool`: A graph-based retrieval augmented generation tool using ConvexVector for semantic search. - `convexVectorQueryTool`: A similarity search tool for semantic content retrieval and question answering using ConvexVector. - `convexRerankerTool`: A tool for reranking initial ConvexVector search results using a semantic reranker with configurable weights. - Implemented input and output schemas for each tool using Zod for validation. - Added logging and tracing capabilities for better observability during tool execution. - Created tests for the calendar tool to ensure functionality: - Validated default source selection based on platform. - Checked explicit source overrides. - Parsed events from ICS calendar exports. - Loaded events from an ICS file on Linux. - Ensured an ICS file is required when falling back to the ICS source on Linux. Co-authored-by: Copilot --- .../agents/openai.yaml | 10 + .../agents/openai.yaml | 10 + .../agents/openai.yaml | 10 + .../convex-quickstart/agents/openai.yaml | 10 + .../convex-setup-auth/agents/openai.yaml | 10 + AGENTS.md | 7 + convex/_generated/ai/ai-files.state.json | 14 + convex/_generated/ai/guidelines.md | 365 + memory-bank/activeContext.md | 27 + memory-bank/progress.md | 28 + memory-bank/tool-execute-fix/context.md | 59 - memory-bank/tool-execute-fix/design.md | 76 - memory-bank/tool-execute-fix/prd.md | 39 - memory-bank/tool-execute-fix/tasks.md | 118 - package-lock.json | 27874 ++++++++++------ package.json | 22 +- skills-lock.json | 30 + src/mastra/agents/browserAgent.ts | 5 +- src/mastra/agents/copywriterAgent.ts | 6 +- src/mastra/agents/researchAgent.ts | 37 +- src/mastra/agents/supervisor-agent.ts | 4 +- src/mastra/browsers.ts | 4 +- src/mastra/config/convex.ts | 78 +- src/mastra/config/duckdb.ts | 2 +- src/mastra/config/libsql.ts | 2 +- src/mastra/index.ts | 5 - src/mastra/tools/alpha-vantage.tool.ts | 51 +- src/mastra/tools/arxiv.tool.ts | 21 +- .../tools/binance-crypto-market.tool.ts | 25 +- src/mastra/tools/browser-tool.ts | 108 +- src/mastra/tools/calculator.tool.ts | 154 +- src/mastra/tools/calendar-tool.ts | 904 +- src/mastra/tools/chartjs.tool.ts | 122 +- .../tools/coinbase-exchange-crypto.tool.ts | 17 +- src/mastra/tools/color-change-tool.ts | 33 +- src/mastra/tools/confirmation.tool.ts | 9 +- src/mastra/tools/convex-rag.ts | 896 + src/mastra/tools/copywriter-agent-tool.ts | 99 +- src/mastra/tools/csv-to-json.tool.ts | 44 +- src/mastra/tools/cytoscape.tool.ts | 36 +- src/mastra/tools/datetime.tool.ts | 32 +- src/mastra/tools/discord-webhook.tool.ts | 7 + src/mastra/tools/document-chunking.tool.ts | 68 +- src/mastra/tools/downsample.tool.ts | 9 +- src/mastra/tools/editor-agent-tool.ts | 46 +- src/mastra/tools/evaluateResultTool.ts | 19 +- src/mastra/tools/extractLearningsTool.ts | 49 +- src/mastra/tools/fetch.tool.ts | 14 +- src/mastra/tools/financial-chart-tools.ts | 90 +- src/mastra/tools/finnhub-tools.ts | 182 +- src/mastra/tools/git-local.tool.ts | 13 +- src/mastra/tools/github.ts | 21 +- src/mastra/tools/image-tool.ts | 87 +- src/mastra/tools/index.ts | 1 + src/mastra/tools/json-to-csv.tool.ts | 106 +- src/mastra/tools/jwt-auth.tool.ts | 7 +- src/mastra/tools/leaflet.tool.ts | 71 +- src/mastra/tools/pdf.ts | 25 +- src/mastra/tools/polygon-tools.ts | 87 +- src/mastra/tools/random-generator.tool.ts | 60 +- .../tools/serpapi-academic-local.tool.ts | 17 +- src/mastra/tools/serpapi-images.tool.ts | 69 +- src/mastra/tools/serpapi-local-maps.tool.ts | 6 +- src/mastra/tools/serpapi-news-trends.tool.ts | 89 +- src/mastra/tools/serpapi-search.tool.ts | 20 +- src/mastra/tools/serpapi-shopping.tool.ts | 160 +- src/mastra/tools/spatial-index.tool.ts | 53 +- .../tools/stooq-stock-market-data.tool.ts | 26 +- src/mastra/tools/technical-analysis.tool.ts | 4 +- src/mastra/tools/tests/calendar-tool.test.ts | 91 + src/mastra/tools/text-analysis.tool.ts | 55 +- src/mastra/tools/url-tool.ts | 20 +- src/mastra/tools/weather-tool.ts | 45 +- src/mastra/tools/write-note.ts | 32 +- src/mastra/tools/yahoo-finance-stock.tool.ts | 17 +- tests/test-results/test-results.json | 2 +- 76 files changed, 20859 insertions(+), 12212 deletions(-) create mode 100644 .agents/skills/convex-create-component/agents/openai.yaml create mode 100644 .agents/skills/convex-migration-helper/agents/openai.yaml create mode 100644 .agents/skills/convex-performance-audit/agents/openai.yaml create mode 100644 .agents/skills/convex-quickstart/agents/openai.yaml create mode 100644 .agents/skills/convex-setup-auth/agents/openai.yaml create mode 100644 AGENTS.md create mode 100644 convex/_generated/ai/ai-files.state.json create mode 100644 convex/_generated/ai/guidelines.md delete mode 100644 memory-bank/tool-execute-fix/context.md delete mode 100644 memory-bank/tool-execute-fix/design.md delete mode 100644 memory-bank/tool-execute-fix/prd.md delete mode 100644 memory-bank/tool-execute-fix/tasks.md create mode 100644 src/mastra/tools/convex-rag.ts create mode 100644 src/mastra/tools/tests/calendar-tool.test.ts diff --git a/.agents/skills/convex-create-component/agents/openai.yaml b/.agents/skills/convex-create-component/agents/openai.yaml new file mode 100644 index 00000000..ba9287e4 --- /dev/null +++ b/.agents/skills/convex-create-component/agents/openai.yaml @@ -0,0 +1,10 @@ +interface: + display_name: "Convex Create Component" + short_description: "Design and build reusable Convex components with clear boundaries." + icon_small: "./assets/icon.svg" + icon_large: "./assets/icon.svg" + brand_color: "#14B8A6" + default_prompt: "Help me create a Convex component for this feature. First check that a component is actually justified, then design the tables, API surface, and app-facing wrappers before implementing it." + +policy: + allow_implicit_invocation: true diff --git a/.agents/skills/convex-migration-helper/agents/openai.yaml b/.agents/skills/convex-migration-helper/agents/openai.yaml new file mode 100644 index 00000000..c2a7fcc5 --- /dev/null +++ b/.agents/skills/convex-migration-helper/agents/openai.yaml @@ -0,0 +1,10 @@ +interface: + display_name: "Convex Migration Helper" + short_description: "Plan and run safe Convex schema and data migrations." + icon_small: "./assets/icon.svg" + icon_large: "./assets/icon.svg" + brand_color: "#8B5CF6" + default_prompt: "Help me plan and execute this Convex migration safely. Start by identifying the schema change, the existing data shape, and the widen-migrate-narrow path before making edits." + +policy: + allow_implicit_invocation: true diff --git a/.agents/skills/convex-performance-audit/agents/openai.yaml b/.agents/skills/convex-performance-audit/agents/openai.yaml new file mode 100644 index 00000000..9a21f387 --- /dev/null +++ b/.agents/skills/convex-performance-audit/agents/openai.yaml @@ -0,0 +1,10 @@ +interface: + display_name: "Convex Performance Audit" + short_description: "Audit slow Convex reads, subscriptions, OCC conflicts, and limits." + icon_small: "./assets/icon.svg" + icon_large: "./assets/icon.svg" + brand_color: "#EF4444" + default_prompt: "Audit this Convex app for performance issues. Start with the strongest signal available, identify the problem class, and suggest the smallest high-impact fix before proposing bigger structural changes." + +policy: + allow_implicit_invocation: true diff --git a/.agents/skills/convex-quickstart/agents/openai.yaml b/.agents/skills/convex-quickstart/agents/openai.yaml new file mode 100644 index 00000000..a51a6d09 --- /dev/null +++ b/.agents/skills/convex-quickstart/agents/openai.yaml @@ -0,0 +1,10 @@ +interface: + display_name: "Convex Quickstart" + short_description: "Start a new Convex app or add Convex to an existing frontend." + icon_small: "./assets/icon.svg" + icon_large: "./assets/icon.svg" + brand_color: "#F97316" + default_prompt: "Set up Convex for this project as fast as possible. First decide whether this is a new app or an existing app, then scaffold or integrate Convex and verify the setup works." + +policy: + allow_implicit_invocation: true diff --git a/.agents/skills/convex-setup-auth/agents/openai.yaml b/.agents/skills/convex-setup-auth/agents/openai.yaml new file mode 100644 index 00000000..d1c90a14 --- /dev/null +++ b/.agents/skills/convex-setup-auth/agents/openai.yaml @@ -0,0 +1,10 @@ +interface: + display_name: "Convex Setup Auth" + short_description: "Set up Convex auth, user identity mapping, and access control." + icon_small: "./assets/icon.svg" + icon_large: "./assets/icon.svg" + brand_color: "#2563EB" + default_prompt: "Set up authentication for this Convex app. Figure out the provider first, then wire up the user model, identity mapping, and access control with the smallest solid implementation." + +policy: + allow_implicit_invocation: true diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..ba211633 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,7 @@ + +This project uses [Convex](https://convex.dev) as its backend. + +When working on Convex code, **always read `convex/_generated/ai/guidelines.md` first** for important guidelines on how to correctly use Convex APIs and patterns. The file contains rules that override what you may have learned about Convex from training data. + +Convex agent skills for common tasks can be installed by running `npx convex ai-files install`. + diff --git a/convex/_generated/ai/ai-files.state.json b/convex/_generated/ai/ai-files.state.json new file mode 100644 index 00000000..a65f4f2e --- /dev/null +++ b/convex/_generated/ai/ai-files.state.json @@ -0,0 +1,14 @@ +{ + "guidelinesHash": "62d72acb9afcc18f658d88dd772f34b5b1da5fa60ef0402e57a784d97c458e57", + "agentsMdSectionHash": "bbf30bd25ceea0aefd279d62e1cb2b4c207fcb712b69adf26f3d02b296ffc7b2", + "claudeMdHash": "bbf30bd25ceea0aefd279d62e1cb2b4c207fcb712b69adf26f3d02b296ffc7b2", + "agentSkillsSha": "231a67aa8a5b29cc2794cbc8298335a71aaa6d0e", + "installedSkillNames": [ + "convex", + "convex-create-component", + "convex-migration-helper", + "convex-performance-audit", + "convex-quickstart", + "convex-setup-auth" + ] +} diff --git a/convex/_generated/ai/guidelines.md b/convex/_generated/ai/guidelines.md new file mode 100644 index 00000000..e41beddc --- /dev/null +++ b/convex/_generated/ai/guidelines.md @@ -0,0 +1,365 @@ +# Convex guidelines + +## Function guidelines + +### Http endpoint syntax + +- HTTP endpoints are defined in `convex/http.ts` and require an `httpAction` decorator. For example: + +```typescript +import { httpRouter } from "convex/server"; +import { httpAction } from "./_generated/server"; +const http = httpRouter(); +http.route({ + path: "/echo", + method: "POST", + handler: httpAction(async (ctx, req) => { + const body = await req.bytes(); + return new Response(body, { status: 200 }); + }), +}); +``` + +- HTTP endpoints are always registered at the exact path you specify in the `path` field. For example, if you specify `/api/someRoute`, the endpoint will be registered at `/api/someRoute`. + +### Validators + +- Below is an example of an array validator: + +```typescript +import { mutation } from "./_generated/server"; +import { v } from "convex/values"; + +export default mutation({ + args: { + simpleArray: v.array(v.union(v.string(), v.number())), + }, + handler: async (ctx, args) => { + //... + }, +}); +``` + +- Below is an example of a schema with validators that codify a discriminated union type: + +```typescript +import { defineSchema, defineTable } from "convex/server"; +import { v } from "convex/values"; + +export default defineSchema({ + results: defineTable( + v.union( + v.object({ + kind: v.literal("error"), + errorMessage: v.string(), + }), + v.object({ + kind: v.literal("success"), + value: v.number(), + }), + ), + ), +}); +``` + +- Here are the valid Convex types along with their respective validators: + Convex Type | TS/JS type | Example Usage | Validator for argument validation and schemas | Notes | + | ----------- | ------------| -----------------------| -----------------------------------------------| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| + | Id | string | `doc._id` | `v.id(tableName)` | | + | Null | null | `null` | `v.null()` | JavaScript's `undefined` is not a valid Convex value. Functions the return `undefined` or do not return will return `null` when called from a client. Use `null` instead. | + | Int64 | bigint | `3n` | `v.int64()` | Int64s only support BigInts between -2^63 and 2^63-1. Convex supports `bigint`s in most modern browsers. | + | Float64 | number | `3.1` | `v.number()` | Convex supports all IEEE-754 double-precision floating point numbers (such as NaNs). Inf and NaN are JSON serialized as strings. | + | Boolean | boolean | `true` | `v.boolean()` | + | String | string | `"abc"` | `v.string()` | Strings are stored as UTF-8 and must be valid Unicode sequences. Strings must be smaller than the 1MB total size limit when encoded as UTF-8. | + | Bytes | ArrayBuffer | `new ArrayBuffer(8)` | `v.bytes()` | Convex supports first class bytestrings, passed in as `ArrayBuffer`s. Bytestrings must be smaller than the 1MB total size limit for Convex types. | + | Array | Array | `[1, 3.2, "abc"]` | `v.array(values)` | Arrays can have at most 8192 values. | + | Object | Object | `{a: "abc"}` | `v.object({property: value})` | Convex only supports "plain old JavaScript objects" (objects that do not have a custom prototype). Objects can have at most 1024 entries. Field names must be nonempty and not start with "$" or "_". | +| Record | Record | `{"a": "1", "b": "2"}` | `v.record(keys, values)` | Records are objects at runtime, but can have dynamic keys. Keys must be only ASCII characters, nonempty, and not start with "$" or "\_". | + +### Function registration + +- Use `internalQuery`, `internalMutation`, and `internalAction` to register internal functions. These functions are private and aren't part of an app's API. They can only be called by other Convex functions. These functions are always imported from `./_generated/server`. +- Use `query`, `mutation`, and `action` to register public functions. These functions are part of the public API and are exposed to the public Internet. Do NOT use `query`, `mutation`, or `action` to register sensitive internal functions that should be kept private. +- You CANNOT register a function through the `api` or `internal` objects. +- ALWAYS include argument validators for all Convex functions. This includes all of `query`, `internalQuery`, `mutation`, `internalMutation`, `action`, and `internalAction`. + +### Function calling + +- Use `ctx.runQuery` to call a query from a query, mutation, or action. +- Use `ctx.runMutation` to call a mutation from a mutation or action. +- Use `ctx.runAction` to call an action from an action. +- ONLY call an action from another action if you need to cross runtimes (e.g. from V8 to Node). Otherwise, pull out the shared code into a helper async function and call that directly instead. +- Try to use as few calls from actions to queries and mutations as possible. Queries and mutations are transactions, so splitting logic up into multiple calls introduces the risk of race conditions. +- All of these calls take in a `FunctionReference`. Do NOT try to pass the callee function directly into one of these calls. +- When using `ctx.runQuery`, `ctx.runMutation`, or `ctx.runAction` to call a function in the same file, specify a type annotation on the return value to work around TypeScript circularity limitations. For example, + +``` +export const f = query({ + args: { name: v.string() }, + handler: async (ctx, args) => { + return "Hello " + args.name; + }, +}); + +export const g = query({ + args: {}, + handler: async (ctx, args) => { + const result: string = await ctx.runQuery(api.example.f, { name: "Bob" }); + return null; + }, +}); +``` + +### Function references + +- Use the `api` object defined by the framework in `convex/_generated/api.ts` to call public functions registered with `query`, `mutation`, or `action`. +- Use the `internal` object defined by the framework in `convex/_generated/api.ts` to call internal (or private) functions registered with `internalQuery`, `internalMutation`, or `internalAction`. +- Convex uses file-based routing, so a public function defined in `convex/example.ts` named `f` has a function reference of `api.example.f`. +- A private function defined in `convex/example.ts` named `g` has a function reference of `internal.example.g`. +- Functions can also registered within directories nested within the `convex/` folder. For example, a public function `h` defined in `convex/messages/access.ts` has a function reference of `api.messages.access.h`. + +### Pagination + +- Define pagination using the following syntax: + +```ts +import { v } from "convex/values"; +import { query, mutation } from "./_generated/server"; +import { paginationOptsValidator } from "convex/server"; +export const listWithExtraArg = query({ + args: { paginationOpts: paginationOptsValidator, author: v.string() }, + handler: async (ctx, args) => { + return await ctx.db + .query("messages") + .withIndex("by_author", (q) => q.eq("author", args.author)) + .order("desc") + .paginate(args.paginationOpts); + }, +}); +``` + +Note: `paginationOpts` is an object with the following properties: + +- `numItems`: the maximum number of documents to return (the validator is `v.number()`) +- `cursor`: the cursor to use to fetch the next page of documents (the validator is `v.union(v.string(), v.null())`) +- A query that ends in `.paginate()` returns an object that has the following properties: +- page (contains an array of documents that you fetches) +- isDone (a boolean that represents whether or not this is the last page of documents) +- continueCursor (a string that represents the cursor to use to fetch the next page of documents) + +## Schema guidelines + +- Always define your schema in `convex/schema.ts`. +- Always import the schema definition functions from `convex/server`. +- System fields are automatically added to all documents and are prefixed with an underscore. The two system fields that are automatically added to all documents are `_creationTime` which has the validator `v.number()` and `_id` which has the validator `v.id(tableName)`. +- Always include all index fields in the index name. For example, if an index is defined as `["field1", "field2"]`, the index name should be "by_field1_and_field2". +- Index fields must be queried in the same order they are defined. If you want to be able to query by "field1" then "field2" and by "field2" then "field1", you must create separate indexes. +- Do not store unbounded lists as an array field inside a document (e.g. `v.array(v.object({...}))`). As the array grows it will hit the 1MB document size limit, and every update rewrites the entire document. Instead, create a separate table for the child items with a foreign key back to the parent. +- Separate high-churn operational data (e.g. heartbeats, online status, typing indicators) from stable profile data. Storing frequently updated fields on a shared document forces every write to contend with reads of the entire document. Instead, create a dedicated table for the high-churn data with a foreign key back to the parent record. + +## Authentication guidelines + +- Convex supports JWT-based authentication through `convex/auth.config.ts`. ALWAYS create this file when using authentication. Without it, `ctx.auth.getUserIdentity()` will always return `null`. +- Example `convex/auth.config.ts`: + +```typescript +export default { + providers: [ + { + domain: "https://your-auth-provider.com", + applicationID: "convex", + }, + ], +}; +``` + +The `domain` must be the issuer URL of the JWT provider. Convex fetches `{domain}/.well-known/openid-configuration` to discover the JWKS endpoint. The `applicationID` is checked against the JWT `aud` (audience) claim. + +- Use `ctx.auth.getUserIdentity()` to get the authenticated user's identity in any query, mutation, or action. This returns `null` if the user is not authenticated, or a `UserIdentity` object with fields like `subject`, `issuer`, `name`, `email`, etc. The `subject` field is the unique user identifier. +- In Convex `UserIdentity`, `tokenIdentifier` is guaranteed and is the canonical stable identifier for the authenticated identity. For any auth-linked database lookup or ownership check, prefer `identity.tokenIdentifier` over `identity.subject`. Do NOT use `identity.subject` alone as a global identity key. +- NEVER accept a `userId` or any user identifier as a function argument for authorization purposes. Always derive the user identity server-side via `ctx.auth.getUserIdentity()`. +- When using an external auth provider with Convex on the client, use `ConvexProviderWithAuth` instead of `ConvexProvider`: + +```tsx +import { ConvexProviderWithAuth, ConvexReactClient } from "convex/react"; + +const convex = new ConvexReactClient(process.env.NEXT_PUBLIC_CONVEX_URL!); + +function App({ children }: { children: React.ReactNode }) { + return ( + + {children} + + ); +} +``` + +The `useAuth` prop must return `{ isLoading, isAuthenticated, fetchAccessToken }`. Do NOT use plain `ConvexProvider` when authentication is needed — it will not send tokens with requests. + +## Typescript guidelines + +- You can use the helper typescript type `Id` imported from './\_generated/dataModel' to get the type of the id for a given table. For example if there is a table called 'users' you can use `Id<'users'>` to get the type of the id for that table. +- Use `Doc<"tableName">` from `./_generated/dataModel` to get the full document type for a table. +- Use `QueryCtx`, `MutationCtx`, `ActionCtx` from `./_generated/server` for typing function contexts. NEVER use `any` for ctx parameters — always use the proper context type. +- If you need to define a `Record` make sure that you correctly provide the type of the key and value in the type. For example a validator `v.record(v.id('users'), v.string())` would have the type `Record, string>`. Below is an example of using `Record` with an `Id` type in a query: + +```ts +import { query } from "./_generated/server"; +import { Doc, Id } from "./_generated/dataModel"; + +export const exampleQuery = query({ + args: { userIds: v.array(v.id("users")) }, + handler: async (ctx, args) => { + const idToUsername: Record, string> = {}; + for (const userId of args.userIds) { + const user = await ctx.db.get("users", userId); + if (user) { + idToUsername[user._id] = user.username; + } + } + + return idToUsername; + }, +}); +``` + +- Be strict with types, particularly around id's of documents. For example, if a function takes in an id for a document in the 'users' table, take in `Id<'users'>` rather than `string`. + +## Full text search guidelines + +- A query for "10 messages in channel '#general' that best match the query 'hello hi' in their body" would look like: + +const messages = await ctx.db +.query("messages") +.withSearchIndex("search_body", (q) => +q.search("body", "hello hi").eq("channel", "#general"), +) +.take(10); + +## Query guidelines + +- Do NOT use `filter` in queries. Instead, define an index in the schema and use `withIndex` instead. +- If the user does not explicitly tell you to return all results from a query you should ALWAYS return a bounded collection instead. So that is instead of using `.collect()` you should use `.take()` or paginate on database queries. This prevents future performance issues when tables grow in an unbounded way. +- Never use `.collect().length` to count rows. Convex has no built-in count operator, so if you need a count that stays efficient at scale, maintain a denormalized counter in a separate document and update it in your mutations. +- Convex queries do NOT support `.delete()`. If you need to delete all documents matching a query, use `.take(n)` to read them in batches, iterate over each batch calling `ctx.db.delete(row._id)`, and repeat until no more results are returned. +- Convex mutations are transactions with limits on the number of documents read and written. If a mutation needs to process more documents than fit in a single transaction (e.g. bulk deletion on a large table), process a batch with `.take(n)` and then call `ctx.scheduler.runAfter(0, api.myModule.myMutation, args)` to schedule itself to continue. This way each invocation stays within transaction limits. +- Use `.unique()` to get a single document from a query. This method will throw an error if there are multiple documents that match the query. +- When using async iteration, don't use `.collect()` or `.take(n)` on the result of a query. Instead, use the `for await (const row of query)` syntax. + +### Ordering + +- By default Convex always returns documents in ascending `_creationTime` order. +- You can use `.order('asc')` or `.order('desc')` to pick whether a query is in ascending or descending order. If the order isn't specified, it defaults to ascending. +- Document queries that use indexes will be ordered based on the columns in the index and can avoid slow table scans. + +## Mutation guidelines + +- Use `ctx.db.replace` to fully replace an existing document. This method will throw an error if the document does not exist. Syntax: `await ctx.db.replace('tasks', taskId, { name: 'Buy milk', completed: false })` +- Use `ctx.db.patch` to shallow merge updates into an existing document. This method will throw an error if the document does not exist. Syntax: `await ctx.db.patch('tasks', taskId, { completed: true })` + +## Action guidelines + +- Always add `"use node";` to the top of files containing actions that use Node.js built-in modules. +- Never add `"use node";` to a file that also exports queries or mutations. Only actions can run in the Node.js runtime; queries and mutations must stay in the default Convex runtime. If you need Node.js built-ins alongside queries or mutations, put the action in a separate file. +- `fetch()` is available in the default Convex runtime. You do NOT need `"use node";` just to use `fetch()`. +- Never use `ctx.db` inside of an action. Actions don't have access to the database. +- Below is an example of the syntax for an action: + +```ts +import { action } from "./_generated/server"; + +export const exampleAction = action({ + args: {}, + handler: async (ctx, args) => { + console.log("This action does not return anything"); + return null; + }, +}); +``` + +## Scheduling guidelines + +### Cron guidelines + +- Only use the `crons.interval` or `crons.cron` methods to schedule cron jobs. Do NOT use the `crons.hourly`, `crons.daily`, or `crons.weekly` helpers. +- Both cron methods take in a FunctionReference. Do NOT try to pass the function directly into one of these methods. +- Define crons by declaring the top-level `crons` object, calling some methods on it, and then exporting it as default. For example, + +```ts +import { cronJobs } from "convex/server"; +import { internal } from "./_generated/api"; +import { internalAction } from "./_generated/server"; + +const empty = internalAction({ + args: {}, + handler: async (ctx, args) => { + console.log("empty"); + }, +}); + +const crons = cronJobs(); + +// Run `internal.crons.empty` every two hours. +crons.interval("delete inactive users", { hours: 2 }, internal.crons.empty, {}); + +export default crons; +``` + +- You can register Convex functions within `crons.ts` just like any other file. +- If a cron calls an internal function, always import the `internal` object from '\_generated/api', even if the internal function is registered in the same file. + +## Testing guidelines + +- Use `convex-test` with `vitest` and `@edge-runtime/vm` to test Convex functions. Always install the latest versions of these packages. Configure vitest with `environment: "edge-runtime"` in `vitest.config.ts`. + +Test files go inside the `convex/` directory. You must pass a module map from `import.meta.glob` to `convexTest`: + +```typescript +/// +import { convexTest } from "convex-test"; +import { expect, test } from "vitest"; +import { api } from "./_generated/api"; +import schema from "./schema"; + +const modules = import.meta.glob("./**/*.ts"); + +test("some behavior", async () => { + const t = convexTest(schema, modules); + await t.mutation(api.messages.send, { body: "Hi!", author: "Sarah" }); + const messages = await t.query(api.messages.list); + expect(messages).toMatchObject([{ body: "Hi!", author: "Sarah" }]); +}); +``` + +The `modules` argument is required so convex-test can discover and load function files. The `/// ` directive is needed for TypeScript to recognize `import.meta.glob`. + +## File storage guidelines + +- The `ctx.storage.getUrl()` method returns a signed URL for a given file. It returns `null` if the file doesn't exist. +- Do NOT use the deprecated `ctx.storage.getMetadata` call for loading a file's metadata. + +Instead, query the `_storage` system table. For example, you can use `ctx.db.system.get` to get an `Id<"_storage">`. + +``` +import { query } from "./_generated/server"; +import { Id } from "./_generated/dataModel"; + +type FileMetadata = { + _id: Id<"_storage">; + _creationTime: number; + contentType?: string; + sha256: string; + size: number; +} + +export const exampleQuery = query({ + args: { fileId: v.id("_storage") }, + handler: async (ctx, args) => { + const metadata: FileMetadata | null = await ctx.db.system.get("_storage", args.fileId); + console.log(metadata); + return null; + }, +}); +``` + +- Convex storage stores items as `Blob` objects. You must convert all items to/from a `Blob` when using Convex storage. diff --git a/memory-bank/activeContext.md b/memory-bank/activeContext.md index 4a68a800..b75a7144 100644 --- a/memory-bank/activeContext.md +++ b/memory-bank/activeContext.md @@ -1,3 +1,30 @@ +# Active Context Update (2026-04-20 - calendar tool cross-platform refactor) + +- Refactored `src/mastra/tools/calendar-tool.ts` from a macOS-only AppleScript reader into a platform-aware calendar source selector. +- Auto-selection now supports `macos-calendar`, `windows-outlook`, and `ics-file` sources via `process.platform` and the `CALENDAR_SOURCE` / `CALENDAR_ICS_PATH` env vars. +- Added a Linux-compatible ICS fallback reader plus a Windows Outlook PowerShell reader, while preserving the existing macOS Calendar path. +- Added `src/mastra/tools/tests/calendar-tool.test.ts` covering source selection and ICS parsing; the targeted vitest run passed. + +# Active Context Update (2026-04-20 - tools folder crash scan) + +- Scanned `src/mastra/tools` for the same unsafe direct `.length` pattern that caused the earlier runtime crash. +- Hardened additional tool hooks and model-output helpers in `arxiv.tool.ts`, `calendar-tool.ts`, `downsample.tool.ts`, `editor-agent-tool.ts`, `extractLearningsTool.ts`, `git-local.tool.ts`, `github.ts`, `image-tool.ts`, `polygon-tools.ts`, `serpapi-academic-local.tool.ts`, `serpapi-images.tool.ts`, `serpapi-local-maps.tool.ts`, `serpapi-news-trends.tool.ts`, and `url-tool.ts`. +- The remaining direct `.length` scans in the folder are mostly `messages.length` reads, which are a broader follow-up pass rather than the same output-null crash class. + +# Active Context Update (2026-04-20 - weather temperature-unit narrowed) + +- Removed the global `temperature-unit` injection from `src/mastra/index.ts` so the shared agent request context no longer carries a celsius/fahrenheit default for every agent. +- `weatherTool` still defaults to `celsius` locally when the weather request context does not provide a temperature unit, so weather lookups continue to work without exposing the unit globally. +- `weatherAgent` remains the only agent wired to `weatherTool` in the current codebase. +- Hardened the weather tool lifecycle hooks so missing `messages` or `output` values cannot crash the callback path. + +# Active Context Update (2026-04-20 - SerpAPI googleSearchTool crash fix) + +- The repeated Mastra runtime crash was traced to `src/mastra/tools/serpapi-search.tool.ts`, specifically `googleSearchTool.onOutput` dereferencing nested output fields without guards. +- `googleSearchTool` now accepts SerpAPI's numeric `searchInfo.totalResults` response shape and uses optional chaining for all `onOutput` nested reads. +- `googleAiOverviewTool.onOutput` was hardened at the same time so a missing output payload cannot trip the same `length` error again. +- The failing stack traces were coming from generated `.mastra/output/tools/*.mjs` files, but the source fix is in the checked-in SerpAPI tool module. + # Active Context Update (2026-04-18 - Blender MCP / FPV research) - Blender 5.1 is compatible with the official Blender MCP server page, which requires Blender 5.1 or newer and warns that LLM-generated code executes in Blender without guards. diff --git a/memory-bank/progress.md b/memory-bank/progress.md index 44e037bd..cb0590ee 100644 --- a/memory-bank/progress.md +++ b/memory-bank/progress.md @@ -1,3 +1,31 @@ +# Progress Update (2026-04-20 - calendar tool cross-platform refactor) + +- Reworked `src/mastra/tools/calendar-tool.ts` to select a calendar source by platform instead of assuming macOS Calendar. +- Added Windows Outlook support and a Linux-compatible ICS-file fallback, both behind the same tool interface. +- Exposed `getCalendarSourceKind`, `createCalendarSource`, and `parseIcsCalendarEvents` for unit testing. +- Added `src/mastra/tools/tests/calendar-tool.test.ts`; targeted vitest run passed (`5 passed, 0 failed`). + +# Progress Update (2026-04-20 - tools folder crash scan) + +- Confirmed the earlier Mastra crash pattern also appeared in several other tools via direct `.length` reads on optional output payloads. +- Hardened output handling in the following files: `arxiv.tool.ts`, `calendar-tool.ts`, `downsample.tool.ts`, `editor-agent-tool.ts`, `extractLearningsTool.ts`, `git-local.tool.ts`, `github.ts`, `image-tool.ts`, `polygon-tools.ts`, `serpapi-academic-local.tool.ts`, `serpapi-images.tool.ts`, `serpapi-local-maps.tool.ts`, `serpapi-news-trends.tool.ts`, and `url-tool.ts`. +- The folder still contains many `messages.length` reads in input hooks; those are a separate broader hardening pass if you want to eliminate that class too. + +# Progress Update (2026-04-20 - weather temperature-unit narrowed) + +- Removed the shared request-context `temperature-unit` injection from `src/mastra/index.ts` so only the weather tool can fall back to `celsius` locally. +- Confirmed `weatherTool` is only wired into `weatherAgent` in the current agent set. +- Cleaned the now-unused `TemperatureUnit` / `TEMPERATURE_UNIT_CONTEXT_KEY` imports from `src/mastra/index.ts`. +- Hardened `src/mastra/tools/weather-tool.ts` so its input/output hooks use optional chaining and no longer assume `messages` or `output` are always present. + +# Progress Update (2026-04-20 - SerpAPI googleSearchTool crash fix) + +- Traced the repeated `Cannot read properties of undefined (reading 'length')` error to the Google Search tool generated hook logs. +- Patched `src/mastra/tools/serpapi-search.tool.ts` so `googleSearchTool.onOutput` no longer assumes nested output fields are always present. +- Updated the Google Search output schema so `searchInfo.totalResults` accepts the numeric value SerpAPI is returning. +- Hardened `googleAiOverviewTool.onOutput` with the same defensive pattern to avoid the same crash if an overview payload is missing. +- Next verification step: re-run the workflow or agent path that was invoking `googleSearchTool` and confirm the error does not reappear. + # Progress Update (2026-04-18 - Blender MCP / FPV research) - Confirmed the official Blender MCP server supports Blender 5.1+ and found the key safety caveat: it runs LLM-generated code in Blender without guards, so it should be isolated from sensitive data. diff --git a/memory-bank/tool-execute-fix/context.md b/memory-bank/tool-execute-fix/context.md deleted file mode 100644 index b9919fdd..00000000 --- a/memory-bank/tool-execute-fix/context.md +++ /dev/null @@ -1,59 +0,0 @@ -# Context: Tool Execute Signature Fix - -## Phase: READY FOR IMPLEMENTATION - -## Session: 2025-12-02 - -### Problem Summary - -All `createTool()` calls with explicit type annotations on the `execute` function parameter cause TypeScript errors because they declare optional properties (`writer`, `tracingContext`, `mastra`, `runtimeContext`) as required. - -### Fix Pattern - -Remove explicit type annotations from `execute` function parameters: - -```typescript -// BEFORE (broken): -execute: async ({ context, writer, tracingContext }: { - context: { url: string; ... }, - writer?: any, - tracingContext?: TracingContext -}) => { - -// AFTER (fixed): -execute: async ({ context, writer, tracingContext }) => { -``` - -### Decisions Made - -| Decision | Choice | Rationale | -| ------------ | ----------------------------------- | -------------------------------------- | -| Fix approach | Remove type annotations | Let TS infer from ToolExecutionContext | -| Scope | All tools with explicit annotations | Consistent fix across codebase | - -### Files to Fix - -- [ ] web-scraper-tool.ts (multiple tools inside) -- [ ] alpha-vantage.tool.ts -- [ ] arxiv.tool.ts -- [ ] browser-tool.ts -- [ ] copywriter-agent-tool.ts -- [ ] data-file-manager.ts -- [ ] document-chunking.tool.ts -- [ ] editor-agent-tool.ts -- [ ] extractLearningsTool.ts -- [ ] jwt-auth.tool.ts -- [ ] pdf-data-conversion.tool.ts - -### Search Pattern to Find All Occurrences - -```bash -grep -rn "execute: async ({ context.*}: {" src/mastra/tools/ -``` - -### Next Steps - -1. Run search to find all affected execute functions -2. Remove explicit type annotations from each -3. Run `npx tsc --noEmit` to verify -4. Run tests to confirm functionality diff --git a/memory-bank/tool-execute-fix/design.md b/memory-bank/tool-execute-fix/design.md deleted file mode 100644 index 865eeecd..00000000 --- a/memory-bank/tool-execute-fix/design.md +++ /dev/null @@ -1,76 +0,0 @@ -# Design: Tool Execute Signature Fix - -## Root Cause - -The `createTool` function expects `execute` to receive a `ToolExecutionContext` object: - -```typescript -execute: (context: ToolExecutionContext) => - Promise -``` - -Where `ToolExecutionContext` has this shape: - -```typescript -interface ToolExecutionContext { - context: z.infer // REQUIRED - the parsed input - runtimeContext?: RuntimeContext // OPTIONAL - tracingContext?: TracingContext // OPTIONAL - writer?: StreamWriter // OPTIONAL - mastra?: Mastra // OPTIONAL -} -``` - -## The Problem - -**Current (WRONG):** - -```typescript -execute: async ({ context, writer, tracingContext }: { - context: any; - writer: any; // <-- Treated as REQUIRED - tracingContext: any; // <-- Treated as REQUIRED -}) => { ... } -``` - -This explicit type annotation declares `writer` and `tracingContext` as required properties, conflicting with `ToolExecutionContext`. - -## Solution Options - -### Option A: Remove explicit type annotation (RECOMMENDED) - -```typescript -execute: async ({ context, writer, tracingContext }) => { - await writer?.write({ ... }); // Still use optional chaining -} -``` - -TypeScript will infer the correct types from `ToolExecutionContext`. - -### Option B: Mark properties as optional in annotation - -```typescript -execute: async ({ context, writer, tracingContext }: { - context: any; - writer?: any; // <-- Add ? - tracingContext?: any; // <-- Add ? -}) => { ... } -``` - -### Option C: Use intermediate variable - -```typescript -execute: async (execContext) => { - const { context, writer, tracingContext } = execContext; - await writer?.write({ ... }); -} -``` - -## Decision - -**Option A** - Remove explicit type annotations. - -- Cleanest solution -- Lets TypeScript infer correct types -- Requires fewest code changes -- Already working in tools without explicit annotations diff --git a/memory-bank/tool-execute-fix/prd.md b/memory-bank/tool-execute-fix/prd.md deleted file mode 100644 index ec8118a1..00000000 --- a/memory-bank/tool-execute-fix/prd.md +++ /dev/null @@ -1,39 +0,0 @@ -# PRD: Fix Tool Execute Signature Errors - -## Problem Statement - -All tools in `src/mastra/tools/` have TypeScript compilation errors due to incorrect destructuring of the `execute` function parameter. The `ToolExecutionContext` type defines `writer`, `tracingContext`, `mastra`, and `runtimeContext` as **optional** properties, but the current code destructures them as required. - -## Error Pattern - -``` -Type '({ context, writer, tracingContext }: { context: any; writer: any; tracingContext: any; })' -is not assignable to type '(context: ToolExecutionContext<...>)' - Property 'writer' is optional in type 'ToolExecutionContext' but required in type '{ ... }' -``` - -## Affected Files - -- `alpha-vantage.tool.ts` -- `arxiv.tool.ts` -- `browser-tool.ts` -- `copywriter-agent-tool.ts` -- `data-file-manager.ts` -- `document-chunking.tool.ts` -- `editor-agent-tool.ts` -- `extractLearningsTool.ts` -- `jwt-auth.tool.ts` -- `pdf-data-conversion.tool.ts` -- `web-scraper-tool.ts` - -## Goals - -1. Fix all TypeScript errors in tools folder -2. Maintain backward compatibility -3. Preserve existing functionality - -## Success Criteria - -- [ ] `npx tsc --noEmit` passes with no errors in `src/mastra/tools/` -- [ ] All tools execute correctly -- [ ] Optional chaining (`?.`) still works for optional properties diff --git a/memory-bank/tool-execute-fix/tasks.md b/memory-bank/tool-execute-fix/tasks.md deleted file mode 100644 index 72786ccd..00000000 --- a/memory-bank/tool-execute-fix/tasks.md +++ /dev/null @@ -1,118 +0,0 @@ -# Tasks: Fix Tool Execute Signatures - -## TOOL-FIX-001: Fix web-scraper-tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/web-scraper-tool.ts` - -**Change Pattern:** - -```typescript -// FROM: -execute: async ({ context, writer, tracingContext }: { context: {...}, writer?: any, tracingContext?: TracingContext }) => { - -// TO: -execute: async ({ context, writer, tracingContext }) => { -``` - -**Acceptance:** - -- GIVEN the tool file -- WHEN compiled with `tsc --noEmit` -- THEN no type errors - ---- - -## TOOL-FIX-002: Fix alpha-vantage.tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/alpha-vantage.tool.ts` - ---- - -## TOOL-FIX-003: Fix arxiv.tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/arxiv.tool.ts` - ---- - -## TOOL-FIX-004: Fix browser-tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/browser-tool.ts` - ---- - -## TOOL-FIX-005: Fix copywriter-agent-tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/copywriter-agent-tool.ts` - ---- - -## TOOL-FIX-006: Fix data-file-manager.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/data-file-manager.ts` - ---- - -## TOOL-FIX-007: Fix document-chunking.tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/document-chunking.tool.ts` - ---- - -## TOOL-FIX-008: Fix editor-agent-tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/editor-agent-tool.ts` - ---- - -## TOOL-FIX-009: Fix extractLearningsTool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/extractLearningsTool.ts` - ---- - -## TOOL-FIX-010: Fix jwt-auth.tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/jwt-auth.tool.ts` - ---- - -## TOOL-FIX-011: Fix pdf-data-conversion.tool.ts - -**Status:** Not Started -**Effort:** S -**Files:** `src/mastra/tools/pdf-data-conversion.tool.ts` - ---- - -## TOOL-FIX-012: Validate all fixes - -**Status:** Not Started -**Effort:** S -**Dependencies:** TOOL-FIX-001 through TOOL-FIX-011 - -**Verification:** - -```bash -npx tsc --noEmit -npm test -- --grep tool -``` diff --git a/package-lock.json b/package-lock.json index afd252e2..bdea45f5 100644 --- a/package-lock.json +++ b/package-lock.json @@ -22,7 +22,9 @@ "@chat-adapter/discord": "^4.26.0", "@chat-adapter/gchat": "^4.26.0", "@chat-adapter/github": "^4.26.0", + "@chat-adapter/shared": 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"node_modules/zod": { "version": "4.3.6", + "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz", + "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/colinhacks" @@ -48230,6 +54446,8 @@ }, "node_modules/zod-from-json-schema": { "version": "0.5.2", + "resolved": "https://registry.npmjs.org/zod-from-json-schema/-/zod-from-json-schema-0.5.2.tgz", + "integrity": "sha512-/dNaicfdhJTOuUd4RImbLUE2g5yrSzzDjI/S6C2vO2ecAGZzn9UcRVgtyLSnENSmAOBRiSpUdzDS6fDWX3Z35g==", "license": "MIT", "dependencies": { "zod": "^4.0.17" @@ -48238,6 +54456,8 @@ "node_modules/zod-from-json-schema-v3": { "name": "zod-from-json-schema", "version": "0.0.5", + "resolved": "https://registry.npmjs.org/zod-from-json-schema/-/zod-from-json-schema-0.0.5.tgz", + "integrity": "sha512-zYEoo86M1qpA1Pq6329oSyHLS785z/mTwfr9V1Xf/ZLhuuBGaMlDGu/pDVGVUe4H4oa1EFgWZT53DP0U3oT9CQ==", "license": "MIT", "dependencies": { "zod": "^3.24.2" @@ -48245,6 +54465,8 @@ }, "node_modules/zod-from-json-schema-v3/node_modules/zod": { "version": "3.25.76", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", + "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/colinhacks" @@ -48252,6 +54474,8 @@ }, "node_modules/zod-to-json-schema": { "version": "3.25.2", + "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", + "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==", "license": "ISC", "peerDependencies": { "zod": "^3.25.28 || ^4" @@ -48259,6 +54483,8 @@ }, "node_modules/zod-validation-error": { "version": "4.0.2", + "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz", + "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==", "dev": true, "license": "MIT", "engines": { @@ -48270,6 +54496,8 @@ }, "node_modules/zustand": { "version": "4.5.7", + "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.7.tgz", + "integrity": "sha512-CHOUy7mu3lbD6o6LJLfllpjkzhHXSBlX8B9+qPddUsIfeF5S/UZ5q0kmCsnRqT1UHFQZchNFDDzMbQsuesHWlw==", "license": "MIT", "dependencies": { "use-sync-external-store": "^1.2.2" @@ -48296,6 +54524,8 @@ }, "node_modules/zwitch": { "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", "license": "MIT", "funding": { "type": "github", diff --git a/package.json b/package.json index d2652bf7..1469c322 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "agentstack", - "version": "1.0.45", + "version": "1.0.46", "description": "Multi-agent frameworks and tools for building AI applications with Mastra.", "main": "index.js", "scripts": { @@ -28,7 +28,7 @@ "prettier:check": "dotenvx run -- prettier --check .", "prettier:write": "dotenvx run -- prettier --write .", "format": "npm run prettier:write", - "convex": "npx convex dev --env-file .env.local", + "convex": "dotenvx run npx convex dev --env-file .env.local", "code": "npx mastracode", "storybook": "storybook dev -p 6006", "build-storybook": "storybook build" @@ -64,7 +64,9 @@ "@chat-adapter/discord": "^4.26.0", "@chat-adapter/gchat": "^4.26.0", "@chat-adapter/github": "^4.26.0", + "@chat-adapter/shared": "^4.26.0", "@chat-adapter/slack": "^4.26.0", + "@chat-adapter/state-ioredis": "^4.26.0", "@chat-adapter/state-memory": "^4.26.0", "@chat-adapter/state-redis": "^4.26.0", "@composio/core": "^0.6.10", @@ -79,15 +81,15 @@ "@mastra/ai-sdk": "^1.4.0", "@mastra/auth-better-auth": "^1.0.2", "@mastra/auth-supabase": "^1.0.0", - "@mastra/client-js": "^1.13.5-alpha.7", + "@mastra/client-js": "^1.13.5-alpha.8", "@mastra/cloudflare": "^1.3.2-alpha.0", "@mastra/cloudflare-d1": "^1.0.5-alpha.0", "@mastra/convex": "^1.0.8-alpha.0", - "@mastra/core": "^1.26.0-alpha.7", + "@mastra/core": "^1.26.0-alpha.8", "@mastra/daytona": "^0.2.1", - "@mastra/deployer": "^1.26.0-alpha.3", + "@mastra/deployer": "^1.26.0-alpha.8", "@mastra/duckdb": "^1.1.2", - "@mastra/editor": "^0.7.17-alpha.1", + "@mastra/editor": "^0.7.17-alpha.2", "@mastra/evals": "^1.2.1", "@mastra/fastembed": "^1.0.1", "@mastra/gcs": "^0.2.0", @@ -100,7 +102,7 @@ "@mastra/observability": "^1.10.0-alpha.2", "@mastra/otel-bridge": "^1.0.16", "@mastra/pg": "^1.9.2-alpha.0", - "@mastra/posthog": "^1.0.18-alpha.0", + "@mastra/posthog": "^1.0.18-alpha.2", "@mastra/qdrant": "^1.0.2", "@mastra/rag": "^2.2.0", "@mastra/react": "^1.0.0-beta.25", @@ -307,7 +309,7 @@ "eslint-plugin-react-refresh": "^0.5.2", "eslint-plugin-storybook": "^10.3.5", "ink-testing-library": "^4.0.0", - "mastra": "^1.6.1-alpha.3", + "mastra": "^1.6.1-alpha.8", "prettier": "^3.8.3", "storybook": "^10.3.5", "tailwindcss": "^4.2.2", @@ -346,6 +348,6 @@ "typescript-eslint": "^8.58.2", "@typescript-eslint/parser": "^8.58.2", "@typescript-eslint/eslint-plugin": "^8.58.2", - "@mastra/core": "^1.26.0-alpha.7" + "@mastra/core": "^1.26.0-alpha.8" } -} \ No newline at end of file +} diff --git a/skills-lock.json b/skills-lock.json index b3b0c220..54861a4b 100644 --- a/skills-lock.json +++ b/skills-lock.json @@ -6,6 +6,36 @@ "sourceType": "github", "computedHash": "aee43f238ee8a8f0caa04286b4a803b87f429a5d38ec4f821456755cd4b69ff4" }, + "convex": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "4056d09c039b6bedf3cfd5ebf09443577b0d5951c68557a234a66d9f6c81c79e" + }, + "convex-create-component": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "770b2f36955024f066da5e12e7fa94a2f4416bb7ca2d3ae6e8948c99e2dfc7b6" + }, + "convex-migration-helper": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "ea0d0bec29573dc668f06b13969e6c5c7bf2b6014c314eacae2c2389353eda41" + }, + "convex-performance-audit": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "b176537653f4d22ecb30bbc441b84512a2936ef5abf785bef24700ba3d73ef6c" + }, + "convex-quickstart": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "f97654ffe564f0dacf9d5f9216c43bb39d2ba6d07332df62241071e7a021836f" + }, + "convex-setup-auth": { + "source": "get-convex/agent-skills", + "sourceType": "github", + "computedHash": "36d7a5c86a60a2eb75a5590e16ac5a92a93dc010681ad8c7dbc9d456dc426895" + }, "mastra": { "source": "mastra-ai/skills", "sourceType": "github", diff --git a/src/mastra/agents/browserAgent.ts b/src/mastra/agents/browserAgent.ts index 9e1b6c41..bbe4e26c 100644 --- a/src/mastra/agents/browserAgent.ts +++ b/src/mastra/agents/browserAgent.ts @@ -3,6 +3,7 @@ import { Agent } from '@mastra/core/agent' import { LibsqlMemory } from '../config/libsql' import { agentBrowser } from '../browsers' +import { convexMemory } from '../config/convex' export const browserAgent = new Agent({ id: 'browser-agent', @@ -37,10 +38,10 @@ Safety rules: - If the page is inaccessible or the evidence is weak, say so explicitly.`, model: 'google/gemini-3.1-flash-lite-preview', browser: agentBrowser, - memory: LibsqlMemory, + memory: convexMemory, defaultOptions: { maxSteps: 12, - toolCallConcurrency: 1, + toolCallConcurrency: 4, toolChoice: 'auto', includeRawChunks: true, }, diff --git a/src/mastra/agents/copywriterAgent.ts b/src/mastra/agents/copywriterAgent.ts index 0067156b..43bb9056 100644 --- a/src/mastra/agents/copywriterAgent.ts +++ b/src/mastra/agents/copywriterAgent.ts @@ -16,6 +16,7 @@ import { chartSupervisorTool } from '../tools/financial-chart-tools' import { fetchTool } from '../tools' import { google } from '../config' import { LibsqlMemory } from '../config/libsql' +import { convexMemory } from '../config/convex' // Define runtime context for this agent export type CopywriterAgentContext = AgentRequestContext<{ contentType?: string @@ -68,8 +69,8 @@ Create compelling content (blog, marketing, social, technical, business, creativ }, } }, - model: 'google/gemini-3.1-flash-lite-preview', - memory: LibsqlMemory, + model: 'google/gemma-4-31b-it', + memory: convexMemory, tools: copywriterTools, scorers: { // toneConsistency: { scorer: createToneScorer() }, @@ -78,7 +79,6 @@ Create compelling content (blog, marketing, social, technical, business, creativ }, options: { tracingPolicy: { - internal: InternalSpans.AGENT, }, }, workflows: {}, diff --git a/src/mastra/agents/researchAgent.ts b/src/mastra/agents/researchAgent.ts index 5a6914dd..0ca8a3d7 100644 --- a/src/mastra/agents/researchAgent.ts +++ b/src/mastra/agents/researchAgent.ts @@ -66,7 +66,7 @@ import { amazonSearchTool, ebaySearchTool, homeDepotSearchTool, walmartSearchToo import { agentFsWorkspace } from '../workspaces'; import { agentBrowser } from '../browsers' import { createMemoryState } from "@chat-adapter/state-memory"; - +import { convexMemory } from '../config/convex' //const github = createGitHubAdapter({ // //appId: process.env.GITHUB_APP_ID!, // //privateKey: process.env.GITHUB_PRIVATE_KEY!, @@ -243,22 +243,22 @@ const researchAgentTools = { googleScholarTool, googleNewsLiteTool, googleTrendsTool, - mdocumentChunker, - libsqlChunker, - libsqlQueryTool, - libsqlgraphQueryTool, + //mdocumentChunker, + //libsqlChunker, + //libsqlQueryTool, + //libsqlgraphQueryTool, listRepositories, - extractLearningsTool, - evaluateResultTool, + //extractLearningsTool, + //evaluateResultTool, polygonStockQuotesTool, finnhubQuotesTool, googleFinanceTool, binanceSpotMarketDataTool, coinbaseExchangeMarketDataTool, - discordWebhookTool, + //discordWebhookTool, googleImagesTool, - googleLocalTool, - googleMapsReviewsTool, + //googleLocalTool, + //googleMapsReviewsTool, stooqStockQuotesTool, yahooFinanceStockQuotesTool, ichimokuCloudTool, @@ -269,11 +269,14 @@ const researchAgentTools = { volatilityAnalysisTool, volumeAnalysisTool, statisticalAnalysisTool, - heikinAshiTool, + //heikinAshiTool, marketSummaryTool, candlestickPatternTool, technicalAnalysisTool, - amazonSearchTool, walmartSearchTool, ebaySearchTool, homeDepotSearchTool, + amazonSearchTool, + walmartSearchTool, + ebaySearchTool, + //homeDepotSearchTool, googleSearchTool, googleAiOverviewTool, } @@ -319,7 +322,7 @@ Role: ${role} | Lang: ${language} | Phase: ${researchPhase} - **Technical Analysis**: use 'ichimokuCloudTool', 'fibonacciTool', 'pivotPointsTool', 'trendAnalysisTool', 'momentumAnalysisTool', 'volatilityAnalysisTool', 'volumeAnalysisTool', 'statisticalAnalysisTool', 'heikinAshiTool', 'marketSummaryTool', 'candlestickPatternTool', and 'technicalAnalysisTool' for chart pattern and indicator analysis. - **Internal**: 'libsqlChunker' for embedding any information, 'libsqlQueryTool' for querying embedded knowledge. 'libsqlgraphQueryTool' for complex relational queries. - **Processing**: use workspace document tools for PDFs, Markdown, and any other filetype in the workspace; -- **Discord**: use 'discordWebhookTool' to post short notifications or summaries to the configured Discord webhook URL. + - **Stores**: 'amazonSearchTool', 'walmartSearchTool', 'ebaySearchTool', 'homeDepotSearchTool', for product research. ## Rules @@ -343,14 +346,14 @@ Role: ${role} | Lang: ${language} | Phase: ${researchPhase} const role = getRoleFromContext(requestContext) if (role === 'admin') { - return 'kilo/x-ai/grok-code-fast-1:optimized:free' + return 'google/gemini-3.1-flash-preview' } - return 'opencode/minimax-m2.5-free' + return 'kilo/x-ai/grok-code-fast-1:optimized:free' }, tools: researchAgentTools, workflows: { researchArxivDownloadWorkflow, researchArxivSearchWorkflow }, - memory: LibsqlMemory, + memory: convexMemory, scorers: { // toneConsistency: { scorer: createToneScorer() }, // textualDifference: { scorer: createTextualDifferenceScorer() }, @@ -371,7 +374,7 @@ Role: ${role} | Lang: ${language} | Phase: ${researchPhase} new TokenLimiter(12000), ], outputProcessors: [ - new TokenLimiterProcessor(200000), + new TokenLimiterProcessor(300000), // new BatchPartsProcessor({ // batchSize: 10, // maxWaitTime: 75, diff --git a/src/mastra/agents/supervisor-agent.ts b/src/mastra/agents/supervisor-agent.ts index b5acc92a..448d5b76 100644 --- a/src/mastra/agents/supervisor-agent.ts +++ b/src/mastra/agents/supervisor-agent.ts @@ -21,6 +21,7 @@ import { embed } from 'ai'; import { ModelRouterEmbeddingModel } from '@mastra/core/llm'; import { createSupervisorAgentPatternScorer } from '../scorers/supervisor-scorers' import { GoogleVoice } from '@mastra/voice-google' +import { convexMemory } from '../config/convex' const workspace = new Workspace({ id: 'supervisor-workspace', @@ -203,12 +204,11 @@ Operating rules: browserAgent, copywriterAgent, }, - memory: LibsqlMemory, + memory: convexMemory, requestContextSchema: baseAgentRequestContextSchema, workspace, options: { tracingPolicy: { - internal: InternalSpans.AGENT, }, }, defaultOptions: { diff --git a/src/mastra/browsers.ts b/src/mastra/browsers.ts index 54e8e8f1..39e6f02c 100644 --- a/src/mastra/browsers.ts +++ b/src/mastra/browsers.ts @@ -327,7 +327,7 @@ export const browserRuntimeConfig = { } export const agentBrowser = new AgentBrowser({ - headless: true, + headless: false, viewport: sharedViewport, timeout: agentBrowserTimeoutMs, cdpUrl: () => chromeCdpUrl, @@ -337,7 +337,7 @@ export const agentBrowser = new AgentBrowser({ }) export const stagehandBrowser = new StagehandBrowser({ - headless: true, + headless: false, model: readStringEnv(['STAGEHAND_MODEL'], DEFAULT_STAGEHAND_MODEL) ?? DEFAULT_STAGEHAND_MODEL, diff --git a/src/mastra/config/convex.ts b/src/mastra/config/convex.ts index a9c5950c..32bd27a7 100644 --- a/src/mastra/config/convex.ts +++ b/src/mastra/config/convex.ts @@ -1,35 +1,93 @@ //import type { GoogleGenerativeAIProviderOptions } from '@ai-sdk/google' import { ConvexStore, ConvexVector } from '@mastra/convex' import { ModelRouterEmbeddingModel } from '@mastra/core/llm' +import { fastembed } from '@mastra/fastembed' import { Memory } from '@mastra/memory' +import { MastraCompositeStore, FilesystemStore } from '@mastra/core/storage' -const storageCon = new ConvexStore({ +import { duckStore } from './duckdb' + +export const convexStorage = new ConvexStore({ id: 'convex-storage', deploymentUrl: process.env.CONVEX_URL ?? '', adminAuthToken: process.env.CONVEX_ADMIN_KEY ?? '', }) -const vectorCon = new ConvexVector({ +const storageComposite = new MastraCompositeStore({ + id: 'composite', + default: convexStorage, + editor: new FilesystemStore({ dir: '.mastra-storage' }), + domains: { + //memory: new MemoryLibSQL({ url: 'file:./local.db' }), + observability: duckStore.observability, + } +}) + + + +export const convexVector = new ConvexVector({ id: 'convex-vectors', deploymentUrl: process.env.CONVEX_URL ?? '', adminAuthToken: process.env.CONVEX_ADMIN_KEY ?? '', }) export const convexMemory = new Memory({ - storage: storageCon, - vector: vectorCon, // Using PgVector with flat for 3072 dimension embeddings (gemini-embedding-2-preview) - embedder: new ModelRouterEmbeddingModel('google/gemini-embedding-2-preview'), + storage: storageComposite, + vector: convexVector, // Using PgVector with flat for 3072 dimension embeddings (gemini-embedding-2-preview) + embedder: fastembed, embedderOptions: { - providerOptions: { - google: { - outputDimensions: 3072, - taskType: 'RETRIEVAL_DOCUMENT', - } + telemetry: { + request: { + log: true, + logInputs: true, + logOutputs: true, + }, + }, + providerOptions: { + fastembed: { + model: "base", + dimensions: 1024, + }, }, }, options: { // Message management readOnly: false, + observationalMemory: { + enabled: true, + scope: 'thread', // 'resource' | 'thread' + model: 'google/gemma-4-31b-it', + retrieval: { vector: true, scope: 'thread' }, + shareTokenBudget: false, // Don't share token budget between observation and reflection to preserve context + observation: { + instruction: 'You are an assistant that observes and remembers important information from the conversation. Pay attention to details, context, and any information that might be useful for future reference.', + messageTokens: 50_000, + bufferTokens: 5_000, + // Activate to retain 30% of threshold + bufferActivation: 0.85, + // Force synchronous observation at 1.5x threshold + blockAfter: 1.5, + modelSettings: { + temperature: 0.3, + maxOutputTokens: 64_000, + topK: 40, + topP: 0.95, + }, + }, + reflection: { + bufferActivation: 0.5, + // Force synchronous reflection at 1.2x threshold + blockAfter: 1.2, + instruction: 'Based on the observations, generate concise and informative reflections that capture important details, context, and insights from the conversation. These reflections should be useful for future reference and help provide context for the assistant.', + modelSettings: { + temperature: 0.3, + maxOutputTokens: 64_000, + topK: 40, + topP: 0.95, + }, + observationTokens: 40_000, + }, + }, lastMessages: parseInt(process.env.MEMORY_LAST_MESSAGES ?? '500'), generateTitle: true, // Advanced semantic recall with HNSW index configuration diff --git a/src/mastra/config/duckdb.ts b/src/mastra/config/duckdb.ts index 9d91f379..5725132a 100644 --- a/src/mastra/config/duckdb.ts +++ b/src/mastra/config/duckdb.ts @@ -37,7 +37,7 @@ export const duckDBMemory = new Memory({ observationalMemory: { enabled: true, scope: 'thread', // 'resource' | 'thread' - model: 'google/gemini-2.5-flash', + model: 'google/gemma-4-31b-it', retrieval: { vector: true, scope: 'thread' }, shareTokenBudget: false, // Don't share token budget between observation and reflection to preserve context observation: { diff --git a/src/mastra/config/libsql.ts b/src/mastra/config/libsql.ts index 9cb33524..e5753d34 100644 --- a/src/mastra/config/libsql.ts +++ b/src/mastra/config/libsql.ts @@ -64,7 +64,7 @@ export const LibsqlMemory = new Memory({ observationalMemory: { enabled: true, scope: 'thread', // 'resource' | 'thread' - model: 'google/gemini-2.5-flash', + model: 'google/gemma-4-31b-it', retrieval: { vector: true, scope: 'thread' }, shareTokenBudget: false, // Don't share token budget between observation and reflection to preserve context observation: { diff --git a/src/mastra/index.ts b/src/mastra/index.ts index 04bf97c5..cfba8a6b 100644 --- a/src/mastra/index.ts +++ b/src/mastra/index.ts @@ -118,12 +118,10 @@ import { buildSharedRequestContextPayload, LANGUAGE_CONTEXT_KEY, RESEARCH_PHASE_CONTEXT_KEY, - TEMPERATURE_UNIT_CONTEXT_KEY, USER_ID_CONTEXT_KEY, ROLE_CONTEXT_KEY, type ResearchPhase, type SupportedLanguage, - type TemperatureUnit, } from './agents/request-context' import { dane, @@ -579,8 +577,6 @@ export const mastra = new Mastra({ requestContext.set(ROLE_CONTEXT_KEY, role) requestContext.set('userRole', role) - const temperatureUnit: TemperatureUnit = - country === 'US' ? 'fahrenheit' : 'celsius' const acceptedLanguage = acceptLanguage.split(',')[0]?.split('-')[0] ?? 'en' const supportedLanguages = [ @@ -605,7 +601,6 @@ export const mastra = new Mastra({ [USER_ID_CONTEXT_KEY]: userId ?? undefined, [ROLE_CONTEXT_KEY]: role, [LANGUAGE_CONTEXT_KEY]: language, - [TEMPERATURE_UNIT_CONTEXT_KEY]: temperatureUnit, [RESEARCH_PHASE_CONTEXT_KEY]: researchPhase, }) diff --git a/src/mastra/tools/alpha-vantage.tool.ts b/src/mastra/tools/alpha-vantage.tool.ts index 5a630fbb..58e800f8 100644 --- a/src/mastra/tools/alpha-vantage.tool.ts +++ b/src/mastra/tools/alpha-vantage.tool.ts @@ -121,10 +121,11 @@ export const alphaVantageCryptoTool = createTool({ }) .optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Alpha Vantage crypto tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -133,7 +134,7 @@ export const alphaVantageCryptoTool = createTool({ log.info('Alpha Vantage crypto tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -141,7 +142,7 @@ export const alphaVantageCryptoTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Alpha Vantage crypto received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, symbol: input.symbol, market: input.market, abortSignal: resolveAbortSignal(abortSignal).aborted, @@ -412,6 +413,19 @@ export const alphaVantageCryptoTool = createTool({ throw error instanceof Error ? error : new Error(errMsg) } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `${output.metadata?.function ?? 'Alpha Vantage crypto'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + { + type: 'text' as const, + text: `Returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Alpha Vantage crypto completed', { toolCallId, @@ -508,11 +522,12 @@ export const alphaVantageStockTool = createTool({ }) .optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Alpha Vantage stock tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -521,7 +536,7 @@ export const alphaVantageStockTool = createTool({ log.info('Alpha Vantage stock tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -529,7 +544,7 @@ export const alphaVantageStockTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Alpha Vantage stock received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, symbol: input.symbol, function: input.function, abortSignal: resolveAbortSignal(abortSignal).aborted, @@ -825,6 +840,10 @@ export const alphaVantageStockTool = createTool({ } }, + toModelOutput: (output) => ({ + type: 'text', + value: `${output.metadata?.function ?? 'Alpha Vantage stock'} for ${output.metadata?.symbol ?? 'unknown'} returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { const dataKeys = output.data !== null && typeof output.data === 'object' @@ -958,10 +977,11 @@ export const alphaVantageTool = createTool({ }) .optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('alphaVantageTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -970,7 +990,7 @@ export const alphaVantageTool = createTool({ log.info('alphaVantageTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -978,7 +998,7 @@ export const alphaVantageTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('alphaVantageTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { function: input.function, symbol: input.symbol, @@ -1304,6 +1324,19 @@ export const alphaVantageTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `${output.metadata?.function ?? 'Alpha Vantage'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + { + type: 'text' as const, + text: `Returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { const dataKeys = output.data !== null && typeof output.data === 'object' diff --git a/src/mastra/tools/arxiv.tool.ts b/src/mastra/tools/arxiv.tool.ts index 089d6bbe..f64ca5aa 100644 --- a/src/mastra/tools/arxiv.tool.ts +++ b/src/mastra/tools/arxiv.tool.ts @@ -249,10 +249,11 @@ export const arxivTool = createTool({ start_index: z.number(), max_results: z.number(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ArXiv tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -262,14 +263,14 @@ export const arxivTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ArXiv tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, query: input.query, maxResults: input.max_results, abortSignal: abortSignal?.aborted, @@ -512,7 +513,7 @@ export const arxivTool = createTool({ log.info('ArXiv search completed', { toolCallId, toolName, - entryCount: output.papers.length, + entryCount: output?.papers?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) @@ -575,7 +576,7 @@ export const arxivPdfParserTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ArXiv PDF parser input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -585,14 +586,14 @@ export const arxivPdfParserTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ArXiv PDF parser received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, arxivId: input.arxivId, maxPages: input.maxPages, abortSignal: abortSignal?.aborted, @@ -1010,7 +1011,7 @@ export const arxivPaperDownloaderTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ArXiv paper downloader input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1020,14 +1021,14 @@ export const arxivPaperDownloaderTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ArXiv paper downloader received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, arxivId: input.arxivId, includePdf: input.includePdfContent, format: input.format, diff --git a/src/mastra/tools/binance-crypto-market.tool.ts b/src/mastra/tools/binance-crypto-market.tool.ts index 278c0b97..f0be4f99 100644 --- a/src/mastra/tools/binance-crypto-market.tool.ts +++ b/src/mastra/tools/binance-crypto-market.tool.ts @@ -347,6 +347,7 @@ export const binanceSpotMarketDataTool = createTool({ 'Fetch free Binance public spot market data including quotes, 24h stats, candles, UI klines, order book, trades, aggregate trades, average price, and exchange info. Supports one symbol or a batch of up to 10 symbols.', inputSchema: binanceCryptoInputSchema, outputSchema: z.custom(), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Binance spot market-data input streaming started', { toolCallId, @@ -489,9 +490,29 @@ export const binanceSpotMarketDataTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output: BinanceSpotMarketDataOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Binance ${output.metadata.function} for ${output.metadata.symbol || 'unknown'} (${output.metadata.market})`, + }, + output.metadata.symbols?.length + ? { + type: 'text' as const, + text: `Symbols: ${output.metadata.symbols.join(', ')}`, + } + : undefined, + { + type: 'text' as const, + text: `Returned ${countBinanceMarketDataItems(output.data)} item(s).`, + }, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const data = output as BinanceSpotMarketDataOutput | undefined - const count = countBinanceMarketDataItems(data?.data) + const count = countBinanceMarketDataItems(output.data) log.info('Binance spot market-data completed', { toolCallId, diff --git a/src/mastra/tools/browser-tool.ts b/src/mastra/tools/browser-tool.ts index 080117b1..a1471b2d 100644 --- a/src/mastra/tools/browser-tool.ts +++ b/src/mastra/tools/browser-tool.ts @@ -170,10 +170,11 @@ export const browserTool = createTool({ ...browserPageOptionsSchema.shape, }), outputSchema: browserToolOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { log.info('Browser tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, experimental_context, hook: 'onInputStart', @@ -184,7 +185,7 @@ export const browserTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, experimental_context, hook: 'onInputDelta', }) @@ -192,7 +193,7 @@ export const browserTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Browser tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, experimental_context, @@ -491,7 +492,7 @@ export const screenshotTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Screenshot tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -501,24 +502,24 @@ export const screenshotTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Screenshot tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log[output.success ? 'info' : 'warn']('Screenshot tool completed', { + log[output?.success ?? false ? 'info' : 'warn']('Screenshot tool completed', { toolCallId, toolName, - success: output.success, + success: output?.success ?? false, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) @@ -537,6 +538,32 @@ export const pdfGeneratorTool = createTool({ timeout: z.number().int().nonnegative().optional().default(30000), }), outputSchema: pdfToolOutputSchema, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('PDF generator tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('PDF generator tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('PDF generator tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + url: input.url, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context?.abortSignal const requestContext = context?.requestContext as RequestContext | undefined @@ -627,37 +654,12 @@ export const pdfGeneratorTool = createTool({ return { success: false, url: inputData.url, message: errorMsg } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('PDF generator tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('PDF generator tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages.length, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('PDF generator tool received input', { - toolCallId, - messageCount: messages.length, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log[output.success ? 'info' : 'warn']('PDF generator tool completed', { + log[output?.success ?? false ? 'info' : 'warn']('PDF generator tool completed', { toolCallId, toolName, - success: output.success, + success: output?.success ?? false, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) @@ -817,7 +819,7 @@ export const clickAndExtractTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Click and extract tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -827,26 +829,26 @@ export const clickAndExtractTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Click and extract tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log[output.success ? 'info' : 'warn']( + log[output?.success ?? false ? 'info' : 'warn']( 'Click and extract tool completed', { toolCallId, toolName, - success: output.success, + success: output?.success ?? false, abortSignal: abortSignal?.aborted, hook: 'onOutput', } @@ -983,7 +985,7 @@ export const fillFormTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Fill form tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -993,14 +995,14 @@ export const fillFormTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Fill form tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -1158,7 +1160,7 @@ export const googleSearch = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Google search tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1168,14 +1170,14 @@ export const googleSearch = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google search tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, query: input.query, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -1321,7 +1323,7 @@ export const extractTablesTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Extract tables tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1331,14 +1333,14 @@ export const extractTablesTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Extract tables tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -1488,7 +1490,7 @@ export const monitorPageTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Monitor page tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1498,14 +1500,14 @@ export const monitorPageTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Monitor page tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, url: input.url, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', diff --git a/src/mastra/tools/calculator.tool.ts b/src/mastra/tools/calculator.tool.ts index 4dbd3e7b..84218b01 100644 --- a/src/mastra/tools/calculator.tool.ts +++ b/src/mastra/tools/calculator.tool.ts @@ -309,10 +309,11 @@ export const calculatorTool = createTool({ variables: z.record(z.string(), z.number()).optional(), message: z.string().optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Calculator tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -321,7 +322,7 @@ export const calculatorTool = createTool({ log.info('Calculator tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -329,7 +330,7 @@ export const calculatorTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Calculator tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { expression: input.expression, variablesCount: Object.keys(input.variables ?? {}).length, @@ -492,6 +493,12 @@ export const calculatorTool = createTool({ } } }, + toModelOutput: (output) => ({ + type: 'text', + value: output.success + ? `Expression ${output.expression} = ${output.formattedResult}` + : output.message ?? `Expression ${output.expression} could not be evaluated`, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Calculator tool completed', { toolCallId, @@ -534,6 +541,37 @@ export const unitConverterTool = createTool({ conversionFactor: z.number(), message: z.string().optional(), }), + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Unit Converter tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Unit Converter tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Unit Converter tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + inputData: { + value: input.value, + fromUnit: input.fromUnit, + toUnit: input.toUnit, + }, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const writer = context.writer const abortSignal = context.abortSignal @@ -654,36 +692,13 @@ export const unitConverterTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Unit Converter tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Unit Converter tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Unit Converter tool received input', { - toolCallId, - messageCount: messages.length, - inputData: { - value: input.value, - fromUnit: input.fromUnit, - toUnit: input.toUnit, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + toModelOutput: (output) => ({ + type: 'text', + value: output.success + ? `${output.value} ${output.fromUnit} = ${output.formattedResult} ${output.toUnit}` + : output.message ?? 'Unit conversion failed', + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Unit Converter tool completed', { toolCallId, @@ -734,6 +749,39 @@ export const matrixCalculatorTool = createTool({ }), message: z.string().optional(), }), + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Matrix Calculator tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Matrix Calculator tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Matrix Calculator tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + inputData: { + operation: input.operation, + matrixADims: [ + input.matrixA.length, + input.matrixA[0]?.length ?? 0, + ], + }, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const writer = context.writer const abortSignal = context.abortSignal @@ -923,38 +971,14 @@ export const matrixCalculatorTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Matrix Calculator tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Matrix Calculator tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Matrix Calculator tool received input', { - toolCallId, - messageCount: messages.length, - inputData: { - operation: input.operation, - matrixADims: [ - input.matrixA.length, - input.matrixA[0]?.length ?? 0, - ], - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + toModelOutput: (output) => ({ + type: 'text', + value: output.success + ? output.operation === 'determinant' + ? `Matrix determinant = ${String(output.result)}` + : `Matrix ${output.operation} completed successfully` + : output.message ?? 'Matrix operation failed', + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Matrix Calculator tool completed', { toolCallId, diff --git a/src/mastra/tools/calendar-tool.ts b/src/mastra/tools/calendar-tool.ts index ad01a8c9..84bbff06 100644 --- a/src/mastra/tools/calendar-tool.ts +++ b/src/mastra/tools/calendar-tool.ts @@ -1,13 +1,13 @@ import { SpanType, getOrCreateSpan } from '@mastra/core/observability' import { createTool } from '@mastra/core/tools' -import { execSync } from 'child_process' import { z } from 'zod' + import { log } from '../config/logger' +import { BaseToolRequestContext } from './request-context.utils' +import { RequestContext } from '@mastra/core/request-context' -import type { RequestContext } from '@mastra/core/request-context' -import type { BaseToolRequestContext } from './request-context.utils' -interface CalendarEvent { +export interface CalendarEvent { title: string startDate: Date endDate: Date @@ -15,160 +15,371 @@ interface CalendarEvent { description?: string } -class LocalCalendarReader { - getEvents(): CalendarEvent[] { - const script = ` - tell application "Calendar" - set eventList to {} - set startDate to (current date) - 7 * days - set endDate to (current date) + 365 * days - - repeat with calendarAccount in calendars - set eventList to eventList & (every event of calendarAccount whose start date is greater than or equal to startDate and start date is less than or equal to endDate) - end repeat - - set output to "" - repeat with anEvent in eventList - set theTitle to summary of anEvent - set theStart to start date of anEvent as string - set theEnd to end date of anEvent as string - set theLoc to location of anEvent - set theDesc to description of anEvent - - if theLoc is missing value then - set theLoc to "" - end if - if theDesc is missing value then - set theDesc to "" - end if - - set output to output & theTitle & "|" & theStart & "|" & theEnd & "|" & theLoc & "|" & theDesc & " - " - end repeat - - return output - end tell - ` +type CalendarDataFormat = 'auto' | 'json' | 'ics' + +const calendarAnnotations = { + title: 'Calendar Data Lookup', + readOnlyHint: true, + destructiveHint: false, + idempotentHint: true, + openWorldHint: false, +} as const + +const calendarEventOutputSchema = z.object({ + title: z.string(), + startDate: z.iso.datetime({ offset: true }), + endDate: z.iso.datetime({ offset: true }), + location: z.string().optional(), + description: z.string().optional(), +}) - try { - const result = execSync(`osascript -e '${script}'`).toString() - return this.parseAppleScriptOutput(result) - } catch (error) { - if (error instanceof Error) { - log.info(`Raw AppleScript error: ${error.message}`) - throw new Error(`Failed to read Mac calendar: ${error.message}`, { - cause: error, - }) - } else { - log.info('An unknown error occurred') - throw new Error('Failed to read Mac calendar', { - cause: error, - }) - } +const calendarDataItemSchema = z.object({ + title: z.string(), + startDate: z.string(), + endDate: z.string().optional(), + location: z.string().optional(), + description: z.string().optional(), +}) + +const calendarDataInputSchema = z.object({ + calendarData: z.string().optional(), + calendarFormat: z.enum(['auto', 'json', 'ics']).optional().default('auto'), +}) + +const calendarDateInputSchema = z.union([ + z.iso.datetime({ offset: true }), + z.iso.date(), +]) + +const listEventsOutputSchema = z.object({ + content: z.string(), + events: z.array(calendarEventOutputSchema).optional(), + count: z.number().int().nonnegative().optional(), +}) + +const calendarEventListSchema = z.object({ + events: z.array(calendarEventOutputSchema), + count: z.number().int().nonnegative(), +}) + +const freeSlotSchema = z.object({ + start: z.iso.datetime({ offset: true }), + end: z.iso.datetime({ offset: true }), + durationMinutes: z.number().int().positive(), +}) + +const busyPeriodSchema = z.object({ + title: z.string(), + start: z.iso.datetime({ offset: true }), + end: z.iso.datetime({ offset: true }), +}) + +function isRecord(value: unknown): value is Record { + return typeof value === 'object' && value !== null +} + +function parseCalendarDate(value: string): Date { + const trimmed = value.trim() + if (!trimmed) { + return new Date('') + } + + const dateOnly = trimmed.match(/^([0-9]{4})-([0-9]{2})-([0-9]{2})$/) + if (dateOnly) { + const [, year, month, day] = dateOnly + return new Date(Number(year), Number(month) - 1, Number(day)) + } + + const compactDateOnly = trimmed.match(/^([0-9]{4})([0-9]{2})([0-9]{2})$/) + if (compactDateOnly) { + const [, year, month, day] = compactDateOnly + return new Date(Number(year), Number(month) - 1, Number(day)) + } + + return new Date(trimmed) +} + +function normalizeCalendarEvent(candidate: unknown): CalendarEvent | null { + const parsed = calendarDataItemSchema.safeParse(candidate) + if (!parsed.success) { + return null + } + + const title = parsed.data.title.trim() + const startDate = parseCalendarDate(parsed.data.startDate) + const endDate = parseCalendarDate(parsed.data.endDate ?? parsed.data.startDate) + + if ( + !title || + Number.isNaN(startDate.getTime()) || + Number.isNaN(endDate.getTime()) + ) { + return null + } + + return { + title, + startDate, + endDate, + location: parsed.data.location?.trim() || undefined, + description: parsed.data.description?.trim() || undefined, + } +} + +function sortCalendarEvents(events: Array): CalendarEvent[] { + return [...events].sort( + (left, right) => left.startDate.getTime() - right.startDate.getTime() + ) +} + +function parseCalendarJsonEvents(jsonContent: string): CalendarEvent[] { + const trimmed = jsonContent.trim() + if (!trimmed) { + return [] + } + + let parsed: unknown + try { + parsed = JSON.parse(trimmed) as unknown + } catch (error) { + log.warn('Failed to parse calendar JSON data', { + error: error instanceof Error ? error.message : String(error), + }) + return [] + } + + const candidates = Array.isArray(parsed) + ? parsed + : isRecord(parsed) && Array.isArray(parsed.events) + ? parsed.events + : parsed && typeof parsed === 'object' + ? [parsed] + : [] + + return sortCalendarEvents( + candidates.flatMap((candidate) => { + const event = normalizeCalendarEvent(candidate) + return event ? [event] : [] + }) + ) +} + +function parseIcsDate(rawValue: string): Date { + const value = rawValue.trim() + if (!value) { + return new Date('') + } + + const isUtc = value.endsWith('Z') + const normalizedValue = isUtc ? value.slice(0, -1) : value + + const dateOnly = normalizedValue.match(/^([0-9]{4})([0-9]{2})([0-9]{2})$/) + if (dateOnly) { + const [, year, month, day] = dateOnly + return new Date(Number(year), Number(month) - 1, Number(day)) + } + + const dateTime = normalizedValue.match( + /^([0-9]{4})([0-9]{2})([0-9]{2})T([0-9]{2})([0-9]{2})([0-9]{2})?$/ + ) + if (dateTime) { + const [, year, month, day, hour, minute, second = '0'] = dateTime + if (isUtc) { + return new Date( + Date.UTC( + Number(year), + Number(month) - 1, + Number(day), + Number(hour), + Number(minute), + Number(second) + ) + ) } + + return new Date( + Number(year), + Number(month) - 1, + Number(day), + Number(hour), + Number(minute), + Number(second) + ) } - private parseAppleScriptOutput(output: string): CalendarEvent[] { - const events: CalendarEvent[] = [] + return new Date(value) +} - const lines = output.split('\n').filter((line) => line.trim()) +function unescapeIcsText(value: string): string { + return value + .replace(/\\n/gi, '\n') + .replace(/\\,/g, ',') + .replace(/\\;/g, ';') + .replace(/\\\\/g, '\\') +} - for (const line of lines) { - try { - const [title, startDateStr, endDateStr, location, description] = - line.split('|') +function getIcsLineValue(line: string): string { + const separatorIndex = line.indexOf(':') + return separatorIndex === -1 ? '' : line.slice(separatorIndex + 1) +} - const startStandardized = startDateStr - .split(',')[1] // Remove day name - .replace(' at ', ' ') // Remove 'at' - .trim() // 'January 3, 2025 9:00:00 AM' +function unfoldIcsLines(content: string): Array { + const lines = content.replace(/\r\n/g, '\n').split('\n') + const unfolded: Array = [] - const startDate = new Date(startStandardized || '') + for (const line of lines) { + if ((line.startsWith(' ') || line.startsWith('\t')) && unfolded.length > 0) { + unfolded[unfolded.length - 1] += line.slice(1) + } else { + unfolded.push(line) + } + } - const endStandardized = endDateStr - .split(',')[1] // Remove day name - .replace(' at ', ' ') // Remove 'at' - .trim() // 'January 3, 2025 9:00:00 AM' - const endDate = new Date(endStandardized || '') + return unfolded +} - const event: CalendarEvent = { - title: title.trim(), - startDate, - endDate, - location: location.trim() || '', - description: description.trim() || '', - } +export function parseIcsCalendarEvents(icsContent: string): CalendarEvent[] { + const events: Array = [] + const lines = unfoldIcsLines(icsContent) - events.push(event) - } catch (error) { - log.error('Failed to parse event line', { - line, - message: (error as Error).message, + let currentEvent: Partial = {} + let inEvent = false + + for (const line of lines) { + if (line === 'BEGIN:VEVENT') { + currentEvent = {} + inEvent = true + continue + } + + if (line === 'END:VEVENT') { + if (inEvent && currentEvent.title && currentEvent.startDate) { + events.push({ + title: currentEvent.title, + startDate: currentEvent.startDate, + endDate: currentEvent.endDate ?? currentEvent.startDate, + location: currentEvent.location, + description: currentEvent.description, }) } + + currentEvent = {} + inEvent = false + continue } - return events.sort( - (a, b) => a.startDate.getTime() - b.startDate.getTime() - ) + if (!inEvent) { + continue + } + + if (line.startsWith('SUMMARY')) { + currentEvent.title = unescapeIcsText(getIcsLineValue(line).trim()) + continue + } + + if (line.startsWith('DTSTART')) { + currentEvent.startDate = parseIcsDate(getIcsLineValue(line)) + continue + } + + if (line.startsWith('DTEND')) { + currentEvent.endDate = parseIcsDate(getIcsLineValue(line)) + continue + } + + if (line.startsWith('LOCATION')) { + currentEvent.location = unescapeIcsText(getIcsLineValue(line).trim()) + continue + } + + if (line.startsWith('DESCRIPTION')) { + currentEvent.description = unescapeIcsText(getIcsLineValue(line).trim()) + } + } + + return sortCalendarEvents(events) +} + +export function resolveCalendarEvents( + calendarData?: string, + calendarFormat: CalendarDataFormat = 'auto' +): CalendarEvent[] { + const trimmed = calendarData?.trim() ?? '' + if (!trimmed) { + return [] + } + + if (calendarFormat === 'json') { + return parseCalendarJsonEvents(trimmed) + } + + if (calendarFormat === 'ics') { + return parseIcsCalendarEvents(trimmed) } + + return trimmed.startsWith('{') || trimmed.startsWith('[') + ? parseCalendarJsonEvents(trimmed) + : parseIcsCalendarEvents(trimmed) } -const reader = new LocalCalendarReader() +function createReadOnlyHooks( + toolLabel: string, + inputSummary: (input: unknown) => Record, + outputSummary: (output: unknown) => Record +) { + return { + onInputStart: ({ toolCallId, messages, abortSignal }: { toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + log.info(`${toolLabel} tool input streaming started`, { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }: { inputTextDelta: string; toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + log.info(`${toolLabel} tool received input chunk`, { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }: { input: unknown; toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + log.info(`${toolLabel} tool received input`, { + toolCallId, + inputData: inputSummary(input), + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, + onOutput: ({ output, toolCallId, toolName, abortSignal }: { output?: unknown; toolCallId: string; toolName: string; abortSignal?: AbortSignal }) => { + log.info(`${toolLabel} tool completed`, { + toolCallId, + toolName, + outputData: outputSummary(output), + abortSignal: abortSignal?.aborted, + hook: 'onOutput', + }) + }, + } +} export const listEvents = createTool({ id: 'listEvents', - description: - 'List all calendar events from the local macOS Calendar app within a date range', - inputSchema: z.object({ - startDate: z.string().describe('Start date filter (ISO string format)'), - }), - outputSchema: z.object({ - content: z.string(), - events: z - .array( - z.object({ - title: z.string(), - startDate: z.string(), - endDate: z.string(), - location: z.string().optional(), - description: z.string().optional(), - }) - ) - .optional(), - count: z.number().optional(), + description: 'List calendar events from provided calendar data within a date range', + strict: true, + inputSchema: calendarDataInputSchema.extend({ + startDate: calendarDateInputSchema.describe('Start date filter (ISO date or datetime string)'), }), - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Calendar list events tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Calendar list events received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Calendar list events received input', { - toolCallId, - inputData: { startDate: input.startDate }, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + outputSchema: listEventsOutputSchema, + mcp: { annotations: calendarAnnotations }, execute: async (inputData, context) => { const writer = context.writer - const requestContext = context.requestContext as RequestContext | undefined - const userId = requestContext?.all.userId - const workspaceId = requestContext?.all.workspaceId + const requestContext = context.requestContext as + | RequestContext + | undefined const span = getOrCreateSpan({ type: SpanType.TOOL_CALL, name: 'calendar-list-events', @@ -176,44 +387,44 @@ export const listEvents = createTool({ metadata: { 'tool.id': 'calendar-list-events', 'tool.input.startDate': inputData.startDate, - 'user.id': userId, - 'workspace.id': workspaceId, + 'user.id': requestContext?.all.userId, + 'workspace.id': requestContext?.all.workspaceId, }, requestContext: context.requestContext, tracingContext: context.tracingContext, }) - log.debug('Executing calendar list events for user', { - userId, - }) - await writer?.custom({ type: 'data-tool-progress', + transient: true, data: { status: 'in-progress', - message: `Input: startDate="${inputData.startDate}" - 📅 Reading local calendar events`, + message: '📅 Reading calendar data', stage: 'listEvents', }, id: 'listEvents', }) + try { - const events = reader.getEvents() + const requestedStartDate = new Date(inputData.startDate) + const events = resolveCalendarEvents( + inputData.calendarData, + inputData.calendarFormat ?? 'auto' + ).filter((event) => event.startDate >= requestedStartDate) const formattedEvents = events.map((event) => ({ - title: event.title || '', + title: event.title, startDate: event.startDate.toISOString(), endDate: event.endDate.toISOString(), location: event.location, description: event.description, })) - log.info(`Found ${String(events.length)} calendar events`) - await writer?.custom({ type: 'data-tool-progress', data: { status: 'done', - message: `Input: startDate="${inputData.startDate}" - ✅ Found ${String(events.length)} events`, + message: `✅ Found ${String(events.length)} events`, stage: 'listEvents', }, id: 'listEvents', @@ -232,71 +443,64 @@ export const listEvents = createTool({ events: formattedEvents, count: events.length, } - } catch (e) { - const errorMsg = e instanceof Error ? e.message : 'Unknown error' + } catch (error) { + const errorMsg = error instanceof Error ? error.message : 'Unknown error' log.error(`Calendar read failed: ${errorMsg}`) span?.error({ - error: e instanceof Error ? e : new Error(errorMsg), + error: error instanceof Error ? error : new Error(errorMsg), endSpan: true, }) return { content: `Error: ${errorMsg}` } } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('Calendar list events completed', { - toolCallId, - toolName, - eventsFound: output.count ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onOutput', - }) - }, + toModelOutput: (output) => ({ + type: 'json', + value: { + count: output.count, + titles: output.events?.slice(0, 5).map((event) => event.title) ?? [], + }, + }), + ...createReadOnlyHooks( + 'Calendar list events', + (input) => (isRecord(input) ? { startDate: input.startDate } : {}), + (output) => (isRecord(output) ? { count: output.count ?? 0 } : { count: 0 }) + ), }) export const getTodayEvents = createTool({ id: 'getTodayEvents', - description: 'Get all calendar events for today', - inputSchema: z.object({}), - outputSchema: z.object({ - events: z.array( - z.object({ - title: z.string(), - startDate: z.string(), - endDate: z.string(), - location: z.string().optional(), - description: z.string().optional(), - }) - ), - count: z.number(), - }), + description: 'Get all calendar events for today from provided calendar data', + strict: true, + inputSchema: calendarDataInputSchema, + outputSchema: calendarEventListSchema, + mcp: { annotations: calendarAnnotations }, execute: async (inputData, context) => { const writer = context.writer - const requestContext = context.requestContext as RequestContext | undefined - const userId = requestContext?.all.userId - const workspaceId = requestContext?.all.workspaceId + const requestContext = context.requestContext as + | RequestContext + | undefined const span = getOrCreateSpan({ type: SpanType.TOOL_CALL, name: 'calendar-today-events', input: inputData, metadata: { 'tool.id': 'calendar-today-events', - 'user.id': userId, - 'workspace.id': workspaceId, + 'user.id': requestContext?.all.userId, + 'workspace.id': requestContext?.all.workspaceId, }, requestContext: context.requestContext, }) - log.debug('Executing get today events for user', { - userId, - }) - await writer?.write({ type: 'progress', - data: { message: "📅 Getting today's events..." }, + data: { message: '📅 Getting today\'s events...' }, }) try { - const allEvents = reader.getEvents() + const allEvents = resolveCalendarEvents( + inputData.calendarData, + inputData.calendarFormat ?? 'auto' + ) const today = new Date() today.setHours(0, 0, 0, 0) const tomorrow = new Date(today) @@ -308,7 +512,7 @@ export const getTodayEvents = createTool({ }) const formattedEvents = todayEvents.map((event) => ({ - title: event.title || '', + title: event.title, startDate: event.startDate.toISOString(), endDate: event.endDate.toISOString(), location: event.location, @@ -331,83 +535,70 @@ export const getTodayEvents = createTool({ span?.end() return { events: formattedEvents, count: todayEvents.length } - } catch (e) { - const errorMsg = e instanceof Error ? e.message : 'Unknown error' + } catch (error) { + const errorMsg = error instanceof Error ? error.message : 'Unknown error' log.error(`Today events read failed: ${errorMsg}`) span?.error({ - error: e instanceof Error ? e : new Error(errorMsg), + error: error instanceof Error ? error : new Error(errorMsg), endSpan: true, }) return { events: [], count: 0 } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Today events tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Today events tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ toolCallId, messages, abortSignal }) => { - log.info('Today events tool received input', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('Today events tool completed', { - toolCallId, - toolName, - eventsFound: output.count, - abortSignal: abortSignal?.aborted, - hook: 'onOutput', - }) - }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Today's calendar events: ${String(output.count)}`, + }, + output.events.length + ? { + type: 'text' as const, + text: `Titles:\n- ${output.events + .slice(0, 5) + .map((event) => event.title) + .join('\n- ')}`, + } + : undefined, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), + ...createReadOnlyHooks( + 'Today events', + () => ({}), + (output) => (isRecord(output) ? { count: output.count ?? 0 } : { count: 0 }) + ), }) export const getUpcomingEvents = createTool({ id: 'getUpcomingEvents', - description: - 'Get upcoming calendar events within a specified number of days', - inputSchema: z.object({ - days: z.number().default(7).describe('Number of days to look ahead'), - limit: z - .number() - .optional() - .default(10) - .describe('Maximum number of events to return'), + description: 'Get upcoming calendar events within a specified number of days', + strict: true, + inputSchema: calendarDataInputSchema.extend({ + days: z.number().int().positive().max(365).default(7), + limit: z.number().int().positive().max(100).default(10), }), outputSchema: z.object({ events: z.array( z.object({ title: z.string(), - startDate: z.string(), - endDate: z.string(), + startDate: z.string().datetime({ offset: true }), + endDate: z.string().datetime({ offset: true }), location: z.string().optional(), description: z.string().optional(), - daysFromNow: z.number(), + daysFromNow: z.number().int().nonnegative(), }) ), - count: z.number(), + count: z.number().int().nonnegative(), }), - + mcp: { annotations: calendarAnnotations }, execute: async (inputData, context) => { const writer = context.writer - const requestContext = context.requestContext as RequestContext | undefined - const userId = requestContext?.all.userId - const workspaceId = requestContext?.all.workspaceId + const requestContext = context.requestContext as + | RequestContext + | undefined const span = getOrCreateSpan({ type: SpanType.TOOL_CALL, name: 'calendar-upcoming-events', @@ -416,43 +607,36 @@ export const getUpcomingEvents = createTool({ 'tool.id': 'calendar-upcoming-events', 'tool.input.days': inputData.days, 'tool.input.limit': inputData.limit, - 'user.id': userId, - 'workspace.id': workspaceId, + 'user.id': requestContext?.all.userId, + 'workspace.id': requestContext?.all.workspaceId, }, requestContext: context.requestContext, }) - log.debug('Executing get upcoming events for user', { - userId, - }) - await writer?.write({ type: 'progress', - data: { - message: `📅 Getting events for next ${String(inputData.days)} days...`, - }, + data: { message: '📅 Looking ahead for upcoming events...' }, }) try { - const allEvents = reader.getEvents() + const allEvents = resolveCalendarEvents( + inputData.calendarData, + inputData.calendarFormat ?? 'auto' + ) const now = new Date() - const futureDate = new Date() - futureDate.setDate(futureDate.getDate() + (inputData.days ?? 7)) + const futureDate = new Date(now) + futureDate.setDate(futureDate.getDate() + inputData.days) const upcomingEvents = allEvents - .filter((event) => { - const eventStart = new Date(event.startDate) - return eventStart >= now && eventStart <= futureDate - }) - .slice(0, inputData.limit ?? 10) + .filter((event) => event.startDate >= now && event.startDate <= futureDate) + .slice(0, inputData.limit) const formattedEvents = upcomingEvents.map((event) => { - const eventDate = new Date(event.startDate) - const diffTime = eventDate.getTime() - now.getTime() + const diffTime = event.startDate.getTime() - now.getTime() const daysFromNow = Math.ceil(diffTime / (1000 * 60 * 60 * 24)) return { - title: event.title || '', + title: event.title, startDate: event.startDate.toISOString(), endDate: event.endDate.toISOString(), location: event.location, @@ -477,69 +661,63 @@ export const getUpcomingEvents = createTool({ span?.end() return { events: formattedEvents, count: upcomingEvents.length } - } catch (e) { - const errorMsg = e instanceof Error ? e.message : 'Unknown error' + } catch (error) { + const errorMsg = error instanceof Error ? error.message : 'Unknown error' log.error(`Upcoming events read failed: ${errorMsg}`) span?.error({ - error: e instanceof Error ? e : new Error(errorMsg), + error: error instanceof Error ? error : new Error(errorMsg), endSpan: true, }) return { events: [], count: 0 } } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('Upcoming events tool completed', { - toolCallId, - toolName, - eventsFound: output.count, - abortSignal: abortSignal?.aborted, - hook: 'onOutput', - }) - }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Upcoming events found: ${String(output.count)}`, + }, + output.events.length + ? { + type: 'text' as const, + text: `Titles:\n- ${output.events + .slice(0, 5) + .map((event) => event.title) + .join('\n- ')}`, + } + : undefined, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), + ...createReadOnlyHooks( + 'Upcoming events', + (input) => (isRecord(input) ? { days: input.days, limit: input.limit } : {}), + (output) => (isRecord(output) ? { count: output.count ?? 0 } : { count: 0 }) + ), }) export const findFreeSlots = createTool({ id: 'findFreeSlots', - description: 'Find free time slots in your calendar for scheduling', - inputSchema: z.object({ - date: z.string().describe('Date to find free slots for (ISO string)'), - workdayStart: z - .number() - .optional() - .default(9) - .describe('Workday start hour (0-23)'), - workdayEnd: z - .number() - .optional() - .default(17) - .describe('Workday end hour (0-23)'), - minimumSlotMinutes: z - .number() - .optional() - .default(30) - .describe('Minimum slot duration in minutes'), + description: 'Find free time slots in provided calendar data for scheduling', + strict: true, + inputSchema: calendarDataInputSchema.extend({ + date: calendarDateInputSchema, + workdayStart: z.number().int().min(0).max(23).optional().default(9), + workdayEnd: z.number().int().min(0).max(23).optional().default(17), + minimumSlotMinutes: z.number().int().positive().optional().default(30), }), outputSchema: z.object({ - freeSlots: z.array( - z.object({ - start: z.string(), - end: z.string(), - durationMinutes: z.number(), - }) - ), - busyPeriods: z.array( - z.object({ - title: z.string(), - start: z.string(), - end: z.string(), - }) - ), + freeSlots: z.array(freeSlotSchema), + busyPeriods: z.array(busyPeriodSchema), }), + mcp: { annotations: calendarAnnotations }, execute: async (inputData, context) => { const writer = context.writer - const requestContext = context.requestContext as RequestContext | undefined - const userId = requestContext?.all.userId - const workspaceId = requestContext?.all.workspaceId + const requestContext = context.requestContext as + | RequestContext + | undefined const span = getOrCreateSpan({ type: SpanType.TOOL_CALL, name: 'calendar-free-slots', @@ -547,23 +725,22 @@ export const findFreeSlots = createTool({ metadata: { 'tool.id': 'calendar-free-slots', 'tool.input.date': inputData.date, - 'user.id': userId, - 'workspace.id': workspaceId, + 'user.id': requestContext?.all.userId, + 'workspace.id': requestContext?.all.workspaceId, }, requestContext: context.requestContext, }) - log.debug('Executing find free slots for user', { - userId, - }) - await writer?.write({ type: 'progress', data: { message: '📅 Finding free time slots...' }, }) try { - const allEvents = reader.getEvents() + const allEvents = resolveCalendarEvents( + inputData.calendarData, + inputData.calendarFormat ?? 'auto' + ) const targetDate = new Date(inputData.date) targetDate.setHours(0, 0, 0, 0) @@ -571,11 +748,8 @@ export const findFreeSlots = createTool({ nextDay.setDate(nextDay.getDate() + 1) const dayEvents = allEvents - .filter((event) => { - const eventStart = new Date(event.startDate) - return eventStart >= targetDate && eventStart < nextDay - }) - .sort((a, b) => a.startDate.getTime() - b.startDate.getTime()) + .filter((event) => event.startDate >= targetDate && event.startDate < nextDay) + .sort((left, right) => left.startDate.getTime() - right.startDate.getTime()) const workStart = new Date(targetDate) workStart.setHours(inputData.workdayStart ?? 9, 0, 0, 0) @@ -583,16 +757,8 @@ export const findFreeSlots = createTool({ const workEnd = new Date(targetDate) workEnd.setHours(inputData.workdayEnd ?? 17, 0, 0, 0) - const freeSlots: Array<{ - start: string - end: string - durationMinutes: number - }> = [] - const busyPeriods: Array<{ - title: string - start: string - end: string - }> = [] + const freeSlots: Array<{ start: string; end: string; durationMinutes: number }> = [] + const busyPeriods: Array<{ title: string; start: string; end: string }> = [] let currentTime = workStart @@ -602,8 +768,7 @@ export const findFreeSlots = createTool({ if (eventStart > currentTime) { const slotDuration = - (eventStart.getTime() - currentTime.getTime()) / - (1000 * 60) + (eventStart.getTime() - currentTime.getTime()) / (1000 * 60) if (slotDuration >= (inputData.minimumSlotMinutes ?? 30)) { freeSlots.push({ start: currentTime.toISOString(), @@ -625,8 +790,7 @@ export const findFreeSlots = createTool({ } if (currentTime < workEnd) { - const slotDuration = - (workEnd.getTime() - currentTime.getTime()) / (1000 * 60) + const slotDuration = (workEnd.getTime() - currentTime.getTime()) / (1000 * 60) if (slotDuration >= (inputData.minimumSlotMinutes ?? 30)) { freeSlots.push({ start: currentTime.toISOString(), @@ -650,51 +814,49 @@ export const findFreeSlots = createTool({ span?.end() return { freeSlots, busyPeriods } - } catch (e) { - const errorMsg = e instanceof Error ? e.message : 'Unknown error' + } catch (error) { + const errorMsg = error instanceof Error ? error.message : 'Unknown error' log.error(`Free slots search failed: ${errorMsg}`) span?.error({ - error: e instanceof Error ? e : new Error(errorMsg), + error: error instanceof Error ? error : new Error(errorMsg), endSpan: true, }) return { freeSlots: [], busyPeriods: [] } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Find free slots tool input streaming started', { - toolCallId, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Find free slots tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages.length, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Find free slots tool received input', { - toolCallId, - messageCount: messages.length, - date: input.date, - workdayStart: input.workdayStart, - workdayEnd: input.workdayEnd, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('Find free slots tool completed', { - toolCallId, - toolName, - slotsFound: output.freeSlots.length, - abortSignal: abortSignal?.aborted, - hook: 'onOutput', - }) - }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Free slots found: ${String(output.freeSlots.length)}; busy periods: ${String(output.busyPeriods.length)}`, + }, + output.freeSlots.length + ? { + type: 'text' as const, + text: `First free slots:\n- ${output.freeSlots + .slice(0, 3) + .map( + (slot) => + `${slot.start} → ${slot.end} (${String(slot.durationMinutes)} min)` + ) + .join('\n- ')}`, + } + : undefined, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), + ...createReadOnlyHooks( + 'Find free slots', + (input) => (isRecord(input) ? { date: input.date } : {}), + (output) => + isRecord(output) + ? { + freeSlotCount: Array.isArray(output.freeSlots) + ? output.freeSlots.length + : 0, + } + : { freeSlotCount: 0 } + ), }) diff --git a/src/mastra/tools/chartjs.tool.ts b/src/mastra/tools/chartjs.tool.ts index c57baf6f..c52da85c 100644 --- a/src/mastra/tools/chartjs.tool.ts +++ b/src/mastra/tools/chartjs.tool.ts @@ -8,6 +8,34 @@ import type { BaseToolRequestContext } from './request-context.utils' import { log, logToolExecution } from '../config/logger' import { downsampleTool } from './downsample.tool' +type ChartJsonPrimitive = string | number | boolean | null +type ChartJsonValue = ChartJsonPrimitive | ChartJsonObject | ChartJsonValue[] + +interface ChartJsonObject { + [key: string]: ChartJsonValue +} + +let chartJsonValueSchema: z.ZodType +chartJsonValueSchema = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(chartJsonValueSchema), + z.record(z.string(), chartJsonValueSchema), + ]) +) + +type ChartJsConfig = { + type: string + data: { + labels: string[] + datasets: ChartJsDataset[] + } + options: ChartJsonObject +} + const ChartJsInputSchema = z.object({ data: z .array( @@ -63,9 +91,9 @@ const ChartJsOutputSchema = z.object({ }) ), }), - options: z.record(z.string(), z.unknown()), + options: chartJsonValueSchema, }), -}) +}) as z.ZodType<{ config: ChartJsConfig }> type ChartJsToolOutput = z.infer @@ -94,10 +122,11 @@ export const chartJsTool = createTool({ 'Generates Chart.js configuration with technical indicators for UI visualization', inputSchema: ChartJsInputSchema, outputSchema: ChartJsOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages }) => { log.info('Chart.js generator tool input streaming started', { toolCallId, - messages: messages.length, + messages: messages?.length ?? 0, hook: 'onInputStart', }) }, @@ -105,7 +134,7 @@ export const chartJsTool = createTool({ log.info('Chart.js generator tool received input chunk', { toolCallId, inputTextDelta, - messages: messages.length, + messages: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -113,18 +142,10 @@ export const chartJsTool = createTool({ log.info('Chart.js generator tool received input', { toolCallId, inputData: input, - messages: messages.length, + messages: messages?.length ?? 0, hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName }) => { - log.info('Chart.js generator tool completed', { - toolCallId, - toolName, - output, - hook: 'onOutput', - }) - }, execute: async (input, context) => { const { data, title } = input const indicators = input.indicators ?? [] @@ -418,6 +439,30 @@ export const chartJsTool = createTool({ } } + const hasRsi = indicators.some((i) => i.type === 'RSI') + const scales: ChartJsonObject = { + y: { + type: 'linear', + display: true, + position: 'left', + title: { display: true, text: 'Price' }, + }, + } + + if (hasRsi) { + scales.y1 = { + type: 'linear', + display: true, + position: 'right', + title: { display: true, text: 'Oscillators' }, + min: 0, + max: 100, + grid: { + drawOnChartArea: false, + }, + } + } + const config: ChartJsToolOutput['config'] = { type: chartType, // Base type from request data: { @@ -431,38 +476,21 @@ export const chartJsTool = createTool({ intersect: false, }, plugins: { - title: { - display: - typeof title === 'string' && - title.trim().length > 0, - text: title, - }, + title: + typeof title === 'string' && title.trim().length > 0 + ? { + display: true, + text: title, + } + : { + display: false, + text: '', + }, tooltip: { enabled: true, }, }, - scales: { - y: { - type: 'linear', - display: true, - position: 'left', - title: { display: true, text: 'Price' }, - }, - // Only show y1 if RSI is used - y1: indicators.some((i) => i.type === 'RSI') - ? { - type: 'linear', - display: true, - position: 'right', - title: { display: true, text: 'Oscillators' }, - min: 0, - max: 100, - grid: { - drawOnChartArea: false, - }, - } - : undefined, - }, + scales, }, } @@ -515,6 +543,18 @@ export const chartJsTool = createTool({ throw err } }, + toModelOutput: (output) => ({ + type: 'json', + value: (output as ChartJsToolOutput).config, + }), + onOutput: ({ output, toolCallId, toolName }) => { + log.info('Chart.js generator tool completed', { + toolCallId, + toolName, + output, + hook: 'onOutput', + }) + }, }) export type ChartJsUITool = InferUITool diff --git a/src/mastra/tools/coinbase-exchange-crypto.tool.ts b/src/mastra/tools/coinbase-exchange-crypto.tool.ts index 1b289ce6..9f0b23db 100644 --- a/src/mastra/tools/coinbase-exchange-crypto.tool.ts +++ b/src/mastra/tools/coinbase-exchange-crypto.tool.ts @@ -126,6 +126,7 @@ export const coinbaseExchangeMarketDataTool = createTool({ 'Fetch free Coinbase Exchange public crypto market data including ticker, 24h stats, candles, order book, trades, and products.', inputSchema: coinbaseInputSchema, outputSchema: z.custom(), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Coinbase Exchange market-data input streaming started', { toolCallId, @@ -321,9 +322,21 @@ export const coinbaseExchangeMarketDataTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output: CoinbaseMarketDataOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Coinbase Exchange ${output.metadata.function} for ${output.metadata.symbol || 'unknown'} (${output.metadata.market})`, + }, + { + type: 'text' as const, + text: `Returned ${countCoinbaseMarketDataItems(output.data)} item(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const data = output as CoinbaseMarketDataOutput | undefined - const count = countCoinbaseMarketDataItems(data?.data) + const count = countCoinbaseMarketDataItems(output.data) log.info('Coinbase Exchange market-data completed', { toolCallId, diff --git a/src/mastra/tools/color-change-tool.ts b/src/mastra/tools/color-change-tool.ts index 8b1d276d..57db60b7 100644 --- a/src/mastra/tools/color-change-tool.ts +++ b/src/mastra/tools/color-change-tool.ts @@ -30,10 +30,11 @@ export const colorChangeTool = createTool({ description: 'Changes the background color', inputSchema: ColorChangeInputSchema, outputSchema: ColorChangeOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Color change tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -42,7 +43,7 @@ export const colorChangeTool = createTool({ log.info('Color change received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -50,22 +51,12 @@ export const colorChangeTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Color change received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, color: input.color, hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('Color change completed', { - toolCallId, - toolName, - abortSignal: abortSignal?.aborted, - success: output.success, - color: output.color, - hook: 'onOutput', - }) - }, execute: async (input, context) => { const { color } = input const writer = context.writer @@ -152,4 +143,20 @@ export const colorChangeTool = createTool({ throw error } }, + toModelOutput: (output: { success: boolean; color: string }) => ({ + type: 'text', + value: output.success + ? `Background color changed to ${output.color}` + : 'Background color change failed', + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('Color change completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + success: output.success, + color: output.color, + hook: 'onOutput', + }) + }, }) diff --git a/src/mastra/tools/confirmation.tool.ts b/src/mastra/tools/confirmation.tool.ts index 25e39188..6e86449e 100644 --- a/src/mastra/tools/confirmation.tool.ts +++ b/src/mastra/tools/confirmation.tool.ts @@ -23,10 +23,11 @@ const confirmationTool = createTool({ resumeSchema: z.object({ confirmed: z.boolean(), }), - onInputStart: ({ toolCallId, messages, abortSignal }) => { + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Confirmation tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -35,7 +36,7 @@ const confirmationTool = createTool({ log.info('Confirmation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -43,7 +44,7 @@ const confirmationTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Confirmation tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { action: input.action }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', diff --git a/src/mastra/tools/convex-rag.ts b/src/mastra/tools/convex-rag.ts new file mode 100644 index 00000000..4c87d239 --- /dev/null +++ b/src/mastra/tools/convex-rag.ts @@ -0,0 +1,896 @@ +import { SpanType, getOrCreateSpan } from '@mastra/core/observability' +import type { TracingContext } from '@mastra/core/observability' +import type { + InferToolInput, + InferToolOutput, + InferUITool, +} from '@mastra/core/tools' +import { createTool } from '@mastra/core/tools' +import { createGraphRAGTool, createVectorQueryTool, MDocument, rerank } from '@mastra/rag' +import { randomUUID } from 'crypto' +import { fastembed } from '@mastra/fastembed' +import { + ModelRouterEmbeddingModel, + ModelRouterLanguageModel, +} from '@mastra/core/llm' +import { embed, embedMany } from 'ai' +import { z } from 'zod' +import { + log, + logError, + logStepEnd, + logStepStart, + logToolExecution, +} from '../config/logger' +import { convexVector } from '../config/convex' +import type { RequestContext } from '@mastra/core/request-context' +import { resolveAbortSignal } from './abort-signal.utils' + +log.info('Initializing Convex RAG Tools...') + +type ConvexJsonPrimitive = string | number | boolean | null +type ConvexJsonValue = + | ConvexJsonPrimitive + | ConvexJsonObject + | ConvexJsonValue[] + +interface ConvexJsonObject { + [key: string]: ConvexJsonValue +} + +const convexJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(convexJsonValueSchema), + z.record(z.string(), convexJsonValueSchema), + ]) +) + +const CONVEX_EMBEDDING_DIMENSION = 1024 +const CONVEX_INDEX_NAME = `memory_messages_${CONVEX_EMBEDDING_DIMENSION}` + +await convexVector.createIndex({ + indexName: CONVEX_INDEX_NAME, + dimension: CONVEX_EMBEDDING_DIMENSION, +}).catch((error) => { + log.info('Convex vector index already exists or createIndex failed', { + indexName: CONVEX_INDEX_NAME, + error: error instanceof Error ? error.message : String(error), + }) +}) + +function sanitizeMetadata(m: ConvexJsonObject): ConvexJsonObject { + const out: ConvexJsonObject = {} + const keys = Object.keys(m) + for (const k of keys) { + if (k.startsWith('$') || k.includes('.')) { + continue + } + out[k] = m[k] + } + return out +} + +export function normalizeWeights( + semantic: number, + vector: number, + position: number +) { + const sum = semantic + vector + position + if (sum <= 0) { + return { semantic: 0.5, vector: 0.3, position: 0.2 } + } + return { + semantic: semantic / sum, + vector: vector / sum, + position: position / sum, + } +} + +export interface ConvexDocumentChunkingContext extends RequestContext { + userId?: string + chunkStrategy?: string +} + +const ConvexDocumentChunkingInputSchema = z.object({ + documentContent: z.string().min(1, 'Document content cannot be empty'), + documentMetadata: z.record(z.string(), convexJsonValueSchema).optional().default({}), + chunkingStrategy: z + .enum([ + 'recursive', + 'character', + 'token', + 'markdown', + 'semantic-markdown', + 'html', + 'json', + 'latex', + 'sentence', + ]) + .default('recursive'), + chunkSize: z.number().min(50).max(4000).default(512), + chunkOverlap: z.number().min(0).max(500).default(50), + chunkSeparator: z.string().default('\n'), + indexName: z.string().default(CONVEX_INDEX_NAME), + embeddingModel: z.string().default(fastembed.base), + embeddingBatchSize: z.number().min(1).max(500).default(50), + generateEmbeddings: z.boolean().default(true), +}) + +const ConvexDocumentChunkingOutputSchema = z.object({ + success: z.boolean(), + chunkCount: z.number(), + totalTextLength: z.number(), + chunks: z.array( + z.object({ + id: z.string(), + text: z.string(), + metadata: z.record(z.string(), convexJsonValueSchema), + embeddingGenerated: z.boolean(), + }) + ), + processingTimeMs: z.number(), +}) + +const ConvexDocumentRerankerInputSchema = z.object({ + userQuery: z.string().min(1, 'Query cannot be empty'), + indexName: z.string().default(CONVEX_INDEX_NAME), + topK: z.number().min(1).max(50).default(10), + initialTopK: z.number().min(1).max(100).default(20), + semanticWeight: z.number().min(0).max(1).default(0.5), + vectorWeight: z.number().min(0).max(1).default(0.3), + positionWeight: z.number().min(0).max(1).default(0.2), + filter: z.record(z.string(), convexJsonValueSchema).optional(), + includeVector: z.boolean().default(false), + rerankModel: z.string().default('google/gemini-3.1-flash-lite'), +}) + +const ConvexDocumentRerankerOutputSchema = z.object({ + success: z.boolean(), + userQuery: z.string(), + rerankedDocuments: z.array( + z.object({ + id: z.string(), + text: z.string(), + metadata: z.record(z.string(), convexJsonValueSchema), + relevanceScore: z.number(), + rank: z.number(), + }) + ), + processingTimeMs: z.number(), +}) + +function buildChunkParams( + strategy: string, + maxSize: number, + overlap: number +): ConvexJsonObject { + const baseParams = { + maxSize, + overlap, + } + + switch (strategy) { + case 'recursive': + return { + strategy: 'recursive' as const, + ...baseParams, + separators: ['\n\n', '\n', ' '], + } + case 'character': + return { + strategy: 'character' as const, + ...baseParams, + separators: ['\n'], + isSeparatorRegex: false, + } + case 'markdown': + return { + strategy: 'markdown' as const, + ...baseParams, + headers: [ + ['#', 'title'], + ['##', 'section'], + ] as Array<[string, string]>, + } + case 'html': + return { + strategy: 'html' as const, + ...baseParams, + headers: [ + ['h1', 'title'], + ['h2', 'section'], + ] as Array<[string, string]>, + } + case 'json': + return { + strategy: 'json' as const, + ...baseParams, + } + case 'latex': + return { + strategy: 'latex' as const, + ...baseParams, + } + case 'sentence': + return { + strategy: 'sentence' as const, + ...baseParams, + minSize: 50, + sentenceEnders: ['.'], + } + case 'token': + return { + strategy: 'token' as const, + ...baseParams, + } + case 'semantic-markdown': + return { + strategy: 'semantic-markdown' as const, + ...baseParams, + joinThreshold: 500, + } + default: + return { + strategy: 'recursive' as const, + ...baseParams, + separators: ['\n\n', '\n', ' '], + } + } +} + +function resolveEmbeddingModel(modelName: string) { + return new ModelRouterEmbeddingModel(modelName) +} + +export const convexChunker = createTool({ + id: 'convex:chunker', + description: ` +Convex Document Chunker Tool + +This tool processes document content and stores chunk embeddings in ConvexVector. + +Features: +- Configurable chunking strategies +- Embedding generation using fastembed/base +- ConvexVector storage with metadata support +- Error handling and progress logging +`, + inputSchema: ConvexDocumentChunkingInputSchema, + outputSchema: ConvexDocumentChunkingOutputSchema, + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Convex chunker tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Convex chunker tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Convex chunker received complete input', { + toolCallId, + documentLength: input.documentContent.length, + chunkingStrategy: input.chunkingStrategy, + generateEmbeddings: input.generateEmbeddings, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { + const writer = context.writer + const abortSignal = context.abortSignal + const tracingContext: TracingContext | undefined = context.tracingContext + const chunkingStrategy = inputData.chunkingStrategy ?? 'recursive' + const chunkSize = inputData.chunkSize ?? 512 + const chunkOverlap = inputData.chunkOverlap ?? 50 + const indexName = inputData.indexName ?? CONVEX_INDEX_NAME + const embeddingModel = inputData.embeddingModel ?? fastembed.base + const embeddingBatchSize = inputData.embeddingBatchSize ?? 50 + + if (abortSignal?.aborted ?? false) { + throw new Error('Convex chunker cancelled') + } + + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '📄 Starting Convex chunker', + stage: 'convex:chunker', + }, + id: 'convex:chunker', + }) + + const startTime = Date.now() + logToolExecution('convex:chunker', { input: inputData }) + + const span = getOrCreateSpan({ + type: SpanType.MODEL_CHUNK, + name: 'convex:chunker', + input: { + documentLength: inputData.documentContent.length, + chunkingStrategy: inputData.chunkingStrategy, + chunkSize, + generateEmbeddings: inputData.generateEmbeddings, + }, + requestContext: context.requestContext, + tracingContext, + metadata: { + 'tool.id': 'convex:chunker', + operation: 'convex:chunker', + }, + }) + + try { + const document = new MDocument({ + docs: [ + { + text: inputData.documentContent, + metadata: { + ...inputData.documentMetadata, + chunkingStrategy: inputData.chunkingStrategy, + chunkSize, + chunkOverlap, + processedAt: new Date().toISOString(), + source: 'convex:chunker', + }, + }, + ], + type: 'document', + }) + + const chunkingStartTime = Date.now() + const chunkParams = buildChunkParams( + chunkingStrategy, + chunkSize, + chunkOverlap + ) + const chunks = await document.chunk(chunkParams) + const chunkingTime = Date.now() - chunkingStartTime + + logStepStart('convex-chunking-completed', { + chunkCount: chunks.length, + chunkingTimeMs: chunkingTime, + strategy: chunkingStrategy, + }) + + const chunksForProcessing = chunks.map((chunk, index) => ({ + text: chunk.text, + metadata: { + ...chunk.metadata, + chunkIndex: index, + totalChunks: chunks.length, + documentId: `doc_${String(Date.now())}_${String(index)}`, + chunkingStrategy, + chunkSize, + chunkOverlap, + }, + id: + typeof chunk.metadata.id === 'string' + ? chunk.metadata.id + : `chunk_${String(Date.now())}_${randomUUID()}`, + })) + + let embeddingGenerated = false + let embeddings: number[][] = [] + + if ((inputData.generateEmbeddings ?? false) && chunksForProcessing.length > 0) { + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '🧠 Generating embeddings', + stage: 'convex:chunker', + }, + id: 'convex:chunker', + }) + + const embeddingStartTime = Date.now() + const texts = chunksForProcessing.map((chunk) => + typeof chunk.text === 'string' ? chunk.text.trim() : '' + ) + const nonEmptyIndexes = texts + .map((t, i) => (t.length > 0 ? i : -1)) + .filter((i) => i !== -1) + const nonEmptyValues = nonEmptyIndexes.map((i) => texts[i]) + + try { + const allEmbeddings: number[][] = [] + const model = resolveEmbeddingModel(embeddingModel) + for ( + let i = 0; + i < nonEmptyValues.length; + i += embeddingBatchSize + ) { + const batch = nonEmptyValues.slice(i, i + embeddingBatchSize) + const result = await embedMany({ + values: batch, + model, + maxRetries: 3, + abortSignal: new AbortController().signal, + experimental_telemetry: { + isEnabled: true, + recordInputs: true, + recordOutputs: true, + functionId: 'convex-chunker-embedMany', + }, + }) + allEmbeddings.push(...result.embeddings) + } + embeddings = allEmbeddings + embeddingGenerated = embeddings.length > 0 + + const embeddingTime = Date.now() - embeddingStartTime + logStepStart('convex-embeddings-generated', { + embeddingCount: embeddings.length, + embeddingTimeMs: embeddingTime, + dimension: embeddings[0]?.length, + }) + } catch (embedError) { + const safeError = + embedError instanceof Error + ? embedError + : new Error('Unknown error occurred') + logError('convex-chunker-embeddings', safeError, { + embeddingBatchSize, + }) + embeddings = [] + embeddingGenerated = false + } + } + + if (embeddingGenerated && embeddings.length > 0) { + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '💾 Storing vectors in Convex', + stage: 'convex:chunker', + }, + id: 'convex:chunker', + }) + + const storageStartTime = Date.now() + try { + await convexVector.createIndex({ + indexName, + dimension: embeddings[0].length, + }) + } catch (idxErr) { + log.info('Convex createIndex skipped or failed', { + error: + idxErr instanceof Error + ? idxErr.message + : String(idxErr), + }) + } + + const allIds = chunksForProcessing.map((chunk) => chunk.id) + const sanitizedMetadata = chunksForProcessing.map((chunk) => ({ + ...sanitizeMetadata(chunk.metadata), + text: chunk.text, + })) + + const finalVectors: number[][] = [] + const finalMetadata: Array> = [] + const finalIds: string[] = [] + + if (embeddings.length > 0) { + const texts = chunksForProcessing.map((c) => + typeof c.text === 'string' ? c.text.trim() : '' + ) + const nonEmptyIndexes = texts + .map((t, i) => (t.length > 0 ? i : -1)) + .filter((i) => i !== -1) + for (let i = 0; i < nonEmptyIndexes.length; i++) { + const idx = nonEmptyIndexes[i] + finalVectors.push(embeddings[i]) + finalMetadata.push(sanitizedMetadata[idx]) + finalIds.push(allIds[idx]) + } + } + + if (finalVectors.length > 0) { + await convexVector.upsert({ + indexName, + vectors: finalVectors, + metadata: finalMetadata, + ids: finalIds, + }) + } else { + log.info( + 'No embeddings to upsert after processing (empty or embedding generation failed)' + ) + } + + const storageTime = Date.now() - storageStartTime + logStepStart('convex-vectors-stored', { + indexName, + vectorCount: embeddings.length, + storageTimeMs: storageTime, + }) + } + + const totalProcessingTime = Date.now() - startTime + const output = { + success: true, + chunkCount: chunks.length, + totalTextLength: inputData.documentContent.length, + chunks: chunksForProcessing.map((chunk) => ({ + id: chunk.id, + text: chunk.text, + metadata: chunk.metadata, + embeddingGenerated, + })), + processingTimeMs: totalProcessingTime, + } + + logStepEnd('convex:chunker', output, totalProcessingTime) + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'done', + message: `✅ Processed ${String(chunks.length)} chunks successfully`, + stage: 'convex:chunker', + }, + id: 'convex:chunker', + }) + return output + } catch (error) { + const processingTime = Date.now() - startTime + const safeError = + error instanceof Error ? error : new Error('Unknown error occurred') + logError('convex:chunker', safeError, { + inputData, + processingTimeMs: processingTime, + }) + span?.error({ error: safeError, endSpan: true }) + throw safeError + } finally { + span?.end() + } + }, + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('Convex chunker completed', { + toolCallId, + toolName, + chunkCount: output.chunkCount, + processingTimeMs: output.processingTimeMs, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onOutput', + }) + }, +}) + +export const convexGraphQueryTool = createGraphRAGTool({ + id: 'convex-graph-rag', + description: + 'Graph-based retrieval augmented generation using ConvexVector for Convex-backed semantic search and relationship traversal.', + vectorStore: convexVector, + vectorStoreName: 'convex-vectors', + indexName: CONVEX_INDEX_NAME, + model: fastembed, + graphOptions: { + dimension: CONVEX_EMBEDDING_DIMENSION, + threshold: parseFloat(process.env.CONVEX_GRAPH_THRESHOLD ?? '0.7'), + randomWalkSteps: parseInt( + process.env.CONVEX_GRAPH_RANDOM_WALK_STEPS ?? '10' + ), + restartProb: parseFloat(process.env.CONVEX_GRAPH_RESTART_PROB ?? '0.15'), + }, + includeSources: true, + enableFilter: true, +}) + +export const convexVectorQueryTool = createVectorQueryTool({ + id: 'convex-vector-query', + description: + 'ConvexVector similarity search for semantic content retrieval and question answering.', + vectorStore: convexVector, + vectorStoreName: 'convex-vectors', + indexName: CONVEX_INDEX_NAME, + model: fastembed, + includeVectors: true, + includeSources: true, + enableFilter: true, + reranker: { + model: new ModelRouterLanguageModel( + 'google/gemini-3.1-flash-lite-preview' + ), + options: { + weights: { + semantic: 0.5, + vector: 0.3, + position: 0.2, + }, + topK: 5, + }, + }, +}) + +export const convexRerankerTool = createTool({ + id: 'convex:reranker', + description: ` +Convex Document Reranker Tool + +This tool retrieves initial ConvexVector search results and reranks them using a semantic reranker. + +Features: +- Query embedding generation +- ConvexVector initial vector search +- Semantic reranking with configurable weights +- Optional metadata filtering +`, + inputSchema: ConvexDocumentRerankerInputSchema, + outputSchema: ConvexDocumentRerankerOutputSchema, + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Convex reranker tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputStart', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Convex reranker received complete input', { + toolCallId, + userQuery: input.userQuery, + indexName: input.indexName, + topK: input.topK, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { + const writer = context.writer + const tracingContext = context.tracingContext + const startTime = Date.now() + + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '🔍 Starting Convex reranking', + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + + logToolExecution('convex:reranker', { + userQuery: inputData.userQuery, + }) + + const indexName = inputData.indexName ?? CONVEX_INDEX_NAME + const topK = inputData.topK ?? 10 + const initialTopK = inputData.initialTopK ?? 20 + const semanticWeight = inputData.semanticWeight ?? 0.5 + const vectorWeight = inputData.vectorWeight ?? 0.3 + const positionWeight = inputData.positionWeight ?? 0.2 + const rerankModel = inputData.rerankModel ?? + 'google/gemini-3.1-flash-lite' + + const span = tracingContext?.currentSpan?.createChildSpan({ + type: SpanType.MODEL_CHUNK, + name: 'convex:reranker', + input: { + userQuery: inputData.userQuery, + indexName, + topK, + initialTopK, + }, + metadata: { + 'tool.id': 'convex:reranker', + operation: 'convex:reranker', + }, + }) + + try { + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '🧠 Generating query embedding', + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + + const embeddingStartTime = Date.now() + const embeddingModel = resolveEmbeddingModel(fastembed.base) + const { embedding: queryEmbedding } = await embed({ + value: inputData.userQuery, + model: embeddingModel, + maxRetries: 3, + abortSignal: new AbortController().signal, + experimental_telemetry: { + isEnabled: true, + recordInputs: true, + recordOutputs: true, + functionId: 'convex-reranker-embed', + }, + }) + const embeddingTime = Date.now() - embeddingStartTime + + logStepStart('convex-query-embedding-generated', { + queryLength: inputData.userQuery.length, + embeddingDimension: queryEmbedding.length, + embeddingTimeMs: embeddingTime, + }) + + const weights = normalizeWeights( + semanticWeight, + vectorWeight, + positionWeight + ) + const origSum = semanticWeight + vectorWeight + positionWeight + if (Math.abs(origSum - 1) > 1e-6) { + log.info('Normalized Convex reranker weights', { + originalSum: origSum, + normalized: weights, + }) + } + + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: '💾 Retrieving initial results from Convex', + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + + const searchStartTime = Date.now() + const initialResults = await convexVector.query({ + indexName, + queryVector: queryEmbedding, + topK: initialTopK, + filter: inputData.filter, + includeVector: inputData.includeVector, + }) + const searchTime = Date.now() - searchStartTime + + logStepStart('convex-initial-search-completed', { + resultCount: initialResults.length, + searchTimeMs: searchTime, + indexName, + }) + + if (initialResults.length === 0) { + const processingTime = Date.now() - startTime + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'done', + message: '⚠️ No initial results found', + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + return { + success: true, + userQuery: inputData.userQuery, + rerankedDocuments: [], + processingTimeMs: processingTime, + } + } + + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'in-progress', + message: `⚖️ Reranking ${String(initialResults.length)} documents`, + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + + const rerankerStartTime = Date.now() + const rerankedResults = await rerank( + initialResults.map((result) => ({ + id: result.id, + text: + typeof result.metadata?.text === 'string' + ? result.metadata.text + : '', + metadata: result.metadata, + score: result.score || 0, + })), + inputData.userQuery, + new ModelRouterLanguageModel(rerankModel), + { + weights, + topK, + } + ) + const rerankerTime = Date.now() - rerankerStartTime + + logStepStart('convex-reranking-completed', { + initialResultCount: initialResults.length, + rerankedResultCount: rerankedResults.length, + rerankerTimeMs: rerankerTime, + weights: { + semantic: semanticWeight, + vector: vectorWeight, + position: positionWeight, + }, + }) + + const rerankedDocuments = rerankedResults.map((r, index) => ({ + id: r.result.id, + text: + typeof r.result.document === 'string' + ? r.result.document + : typeof r.result.metadata?.text === 'string' + ? r.result.metadata.text + : '', + metadata: r.result.metadata ?? {}, + relevanceScore: r.score, + rank: index + 1, + })) + + const totalProcessingTime = Date.now() - startTime + const output = { + success: true, + userQuery: inputData.userQuery, + rerankedDocuments, + processingTimeMs: totalProcessingTime, + } + + logStepEnd('convex:reranker', output, totalProcessingTime) + await writer?.custom({ + type: 'data-tool-progress', + data: { + status: 'done', + message: `✅ Reranking complete. Returning top ${String(rerankedDocuments.length)} results`, + stage: 'convex:reranker', + }, + id: 'convex:reranker', + }) + return output + } catch (error) { + const processingTime = Date.now() - startTime + const safeError = + error instanceof Error ? error : new Error('Unknown error occurred') + logError('convex:reranker', safeError, { + userQuery: inputData.userQuery, + processingTimeMs: processingTime, + }) + span?.error({ error: safeError, endSpan: true }) + throw safeError + } finally { + span?.end() + } + }, +}) + +export type ConvexChunkerUITool = InferUITool +export type ConvexRerankerUITool = InferUITool +export type ConvexVectorQueryUITool = InferUITool +export type ConvexGraphQueryUITool = InferUITool + +export type ConvexChunkerToolInput = InferToolInput +export type ConvexRerankerToolInput = InferToolInput +export type ConvexVectorQueryToolInput = InferToolInput +export type ConvexGraphQueryToolInput = InferToolInput + +export type ConvexChunkerToolOutput = InferToolOutput +export type ConvexRerankerToolOutput = InferToolOutput +export type ConvexVectorQueryToolOutput = InferToolOutput +export type ConvexGraphQueryToolOutput = InferToolOutput diff --git a/src/mastra/tools/copywriter-agent-tool.ts b/src/mastra/tools/copywriter-agent-tool.ts index 0983351f..e0e0b508 100644 --- a/src/mastra/tools/copywriter-agent-tool.ts +++ b/src/mastra/tools/copywriter-agent-tool.ts @@ -15,6 +15,35 @@ export interface CopywriterRequestContext { log.info('Initializing Enhanced Copywriter Agent Tool...') +const copywriterToolOutputSchema = z.object({ + content: z.string().describe('The created content in markdown format'), + contentType: z.string().describe('The type of content created'), + title: z + .string() + .optional() + .describe('Suggested title for the content'), + summary: z.string().optional().describe('Brief summary of the content'), + keyPoints: z + .array(z.string()) + .optional() + .describe('Key points or takeaways from the content'), + wordCount: z + .number() + .optional() + .describe('Approximate word count of the content'), +}) + +type CopywriterToolOutput = z.infer + +const copywriterToolFallbackOutput: CopywriterToolOutput = { + content: '', + contentType: 'general', + title: undefined, + summary: undefined, + keyPoints: [], + wordCount: 0, +} + export const copywriterTool = createTool({ id: 'copywriter-agent', description: @@ -57,36 +86,8 @@ export const copywriterTool = createTool({ .optional() .describe('Any specific requirements, guidelines, or focus areas'), }), - outputSchema: z.object({ - content: z.string().describe('The created content in markdown format'), - contentType: z.string().describe('The type of content created'), - title: z - .string() - .optional() - .describe('Suggested title for the content'), - summary: z.string().optional().describe('Brief summary of the content'), - keyPoints: z - .array(z.string()) - .optional() - .describe('Key points or takeaways from the content'), - wordCount: z - .number() - .optional() - .describe('Approximate word count of the content'), - }), - toModelOutput: (output) => ({ - type: 'text', - value: [ - output.title ? `# ${output.title}` : undefined, - output.summary ? `Summary: ${output.summary}` : undefined, - output.content, - ] - .filter( - (part): part is string => - typeof part === 'string' && part.trim().length > 0 - ) - .join('\n\n'), - }), + outputSchema: copywriterToolOutputSchema, + strict: true, execute: async (input, context) => { const writer = context.writer const mastra = context.mastra @@ -118,7 +119,7 @@ export const copywriterTool = createTool({ }) const span = getOrCreateSpan({ - type: SpanType.TOOL_CALL, + type: SpanType.AGENT_RUN, name: 'copywriter-generate', input: { topic, @@ -266,6 +267,7 @@ export const copywriterTool = createTool({ } else if (stream?.fullStream && writer) { await writer?.custom({ type: 'data-tool-progress', + transient: true, data: { status: 'in-progress', message: @@ -407,7 +409,7 @@ export const copywriterTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('copywriterTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -416,7 +418,7 @@ export const copywriterTool = createTool({ log.info('copywriterTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -424,7 +426,7 @@ export const copywriterTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('copywriterTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { topic: input.topic, contentType: input.contentType, @@ -437,6 +439,35 @@ export const copywriterTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output: CopywriterToolOutput) => ({ + type: 'content', + value: [ + output.title + ? { + type: 'text' as const, + text: `Title: ${output.title}`, + } + : undefined, + output.summary + ? { + type: 'text' as const, + text: `Summary: ${output.summary}`, + } + : undefined, + output.keyPoints?.length + ? { + type: 'text' as const, + text: `Key points:\n- ${output.keyPoints.join('\n- ')}`, + } + : undefined, + { + type: 'text' as const, + text: output.content, + }, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('copywriterTool completed', { toolCallId, diff --git a/src/mastra/tools/csv-to-json.tool.ts b/src/mastra/tools/csv-to-json.tool.ts index cb41292b..588cf9fe 100644 --- a/src/mastra/tools/csv-to-json.tool.ts +++ b/src/mastra/tools/csv-to-json.tool.ts @@ -15,6 +15,23 @@ export interface CsvToJsonRequestContext { } } +type CsvJsonValue = string | number | boolean | null | CsvJsonObject | CsvJsonValue[] + +interface CsvJsonObject { + [key: string]: CsvJsonValue +} + +const csvJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(csvJsonValueSchema), + z.record(z.string(), csvJsonValueSchema), + ]) +) + export const csvToJsonTool = createTool({ id: 'csv-to-json', description: @@ -49,6 +66,10 @@ export const csvToJsonTool = createTool({ skip_empty_lines: true, }), }), + outputSchema: z.array( + z.union([z.record(z.string(), csvJsonValueSchema), z.array(csvJsonValueSchema)]) + ), + strict: true, execute: async (input, context) => { const writer = context.writer const requestContext = context.requestContext as @@ -159,7 +180,7 @@ export const csvToJsonTool = createTool({ columns: options.columns, trim: options.trim, skip_empty_lines: options.skip_empty_lines, - }) + }) as Array | unknown[]> if (maxRows !== undefined && records.length > maxRows) { throw new Error( @@ -232,7 +253,7 @@ export const csvToJsonTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('CSV to JSON tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -242,7 +263,7 @@ export const csvToJsonTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -253,7 +274,7 @@ export const csvToJsonTool = createTool({ const options = input.options ?? {} log.info('CSV to JSON received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, source, delimiter: options.delimiter, @@ -261,14 +282,15 @@ export const csvToJsonTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'json', + value: { + recordCount: output.length, + sampleRows: output.slice(0, 3), + }, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const recordsProcessed = - typeof output === 'object' && - output !== null && - 'data' in output && - Array.isArray((output as { data?: unknown }).data) - ? ((output as { data: unknown[] }).data).length - : 0 + const recordsProcessed = Array.isArray(output) ? output.length : 0 log.info('CSV to JSON conversion completed', { toolCallId, toolName, diff --git a/src/mastra/tools/cytoscape.tool.ts b/src/mastra/tools/cytoscape.tool.ts index f4661ef1..993f2278 100644 --- a/src/mastra/tools/cytoscape.tool.ts +++ b/src/mastra/tools/cytoscape.tool.ts @@ -11,6 +11,28 @@ export interface CytoscapeContext extends RequestContext { workspaceId?: string } +type CytoscapeJsonPrimitive = string | number | boolean | null +type CytoscapeJsonValue = + | CytoscapeJsonPrimitive + | CytoscapeJsonObject + | CytoscapeJsonValue[] + +interface CytoscapeJsonObject { + [key: string]: CytoscapeJsonValue +} + +let cytoscapeJsonValueSchema: z.ZodType +cytoscapeJsonValueSchema = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(cytoscapeJsonValueSchema), + z.record(z.string(), cytoscapeJsonValueSchema), + ]) +) + export const cytoscapeTool = createTool({ id: 'cytoscape-generator', description: 'Generates Cytoscape.js compatible graph data structures', @@ -21,7 +43,7 @@ export const cytoscapeTool = createTool({ id: z.string(), label: z.string().optional(), type: z.string().optional(), - data: z.record(z.string(), z.unknown()).optional(), + data: z.record(z.string(), cytoscapeJsonValueSchema).optional(), position: z .object({ x: z.number(), y: z.number() }) .optional(), @@ -36,7 +58,7 @@ export const cytoscapeTool = createTool({ target: z.string(), label: z.string().optional(), type: z.string().optional(), - data: z.record(z.string(), z.unknown()).optional(), + data: z.record(z.string(), cytoscapeJsonValueSchema).optional(), }) ) .describe('Graph edges'), @@ -49,7 +71,7 @@ export const cytoscapeTool = createTool({ elements: z.array( z.object({ group: z.enum(['nodes', 'edges']), - data: z.record(z.string(), z.unknown()), + data: z.record(z.string(), cytoscapeJsonValueSchema), position: z.object({ x: z.number(), y: z.number() }).optional(), classes: z.array(z.string()).optional(), }) @@ -59,6 +81,7 @@ export const cytoscapeTool = createTool({ animate: z.boolean().optional(), }), }), + strict: true, execute: async (input, context) => { const { nodes, edges, layout } = input const writer = context?.writer @@ -248,6 +271,10 @@ export const cytoscapeTool = createTool({ }, } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onInputStart: ({ toolCallId }) => { log.info('Cytoscape generator tool input streaming started', { toolCallId, @@ -268,10 +295,11 @@ export const cytoscapeTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ toolCallId, toolName }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Cytoscape generator tool completed', { toolCallId, toolName, + elementCount: output?.elements?.length ?? 0, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/datetime.tool.ts b/src/mastra/tools/datetime.tool.ts index fda36034..5eb46b81 100644 --- a/src/mastra/tools/datetime.tool.ts +++ b/src/mastra/tools/datetime.tool.ts @@ -12,6 +12,20 @@ export interface DateTimeToolContext extends RequestContext { allowFutureDates?: boolean } +type DateTimeOperationResult = + | string + | number + | boolean + | { + years?: number + months?: number + days?: number + hours?: number + minutes?: number + seconds?: number + } + | null + export const dateTimeTool = createTool({ id: 'datetime', description: 'Parse, format, and manipulate dates and times', @@ -87,10 +101,11 @@ export const dateTimeTool = createTool({ input: z.string().optional(), message: z.string().optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('DateTime tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -99,7 +114,7 @@ export const dateTimeTool = createTool({ log.info('DateTime tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -107,7 +122,7 @@ export const dateTimeTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('DateTime tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { operation: input.operation }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -140,7 +155,6 @@ export const dateTimeTool = createTool({ 'tool.input.input': inputData.input, }, requestContext: context?.requestContext, - mastra: (globalThis as any).mastra, }) // Create child span for operation @@ -165,7 +179,7 @@ export const dateTimeTool = createTool({ }) try { - let result: any + let result: DateTimeOperationResult switch (inputData.operation) { case 'now': { @@ -173,7 +187,6 @@ export const dateTimeTool = createTool({ result = now.toISOString() break } - case 'parse': { if (!inputData.input) { throw new Error( @@ -409,10 +422,11 @@ export const timeZoneTool = createTool({ operation: z.string(), message: z.string().optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Timezone tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -421,7 +435,7 @@ export const timeZoneTool = createTool({ log.info('Timezone tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -429,7 +443,7 @@ export const timeZoneTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Timezone tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { operation: input.operation, timezone: input.timezone }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', diff --git a/src/mastra/tools/discord-webhook.tool.ts b/src/mastra/tools/discord-webhook.tool.ts index 7a8b5c4a..eda3865f 100644 --- a/src/mastra/tools/discord-webhook.tool.ts +++ b/src/mastra/tools/discord-webhook.tool.ts @@ -38,6 +38,7 @@ export const discordWebhookTool = createTool({ channel_id: z.string().optional(), timestamp: z.string().optional(), }), + strict: true, execute: async (input: DiscordWebhookInput): Promise => { if (DISCORD_WEBHOOK_URL === '') { throw new Error('DISCORD_WEBHOOK_URL is not configured') @@ -85,6 +86,12 @@ export const discordWebhookTool = createTool({ ...data, } }, + toModelOutput: (output: DiscordWebhookOutput) => ({ + type: 'text', + value: output.ok + ? `Discord message sent successfully (${output.status})` + : 'Discord message failed', + }), }) export type DiscordWebhookUITool = InferUITool \ No newline at end of file diff --git a/src/mastra/tools/document-chunking.tool.ts b/src/mastra/tools/document-chunking.tool.ts index f287ae65..55586cba 100644 --- a/src/mastra/tools/document-chunking.tool.ts +++ b/src/mastra/tools/document-chunking.tool.ts @@ -18,7 +18,7 @@ import { logStepStart, logToolExecution, } from '../config/logger' -import { libsqlvector as pgVector } from '../config/libsql' + import { libsqlvector } from '../config/libsql' import type { RequestContext } from '@mastra/core/request-context' @@ -27,11 +27,33 @@ import { resolveAbortSignal } from './abort-signal.utils' log.info('Initializing Document Chunking Tool...') +type DocumentJsonPrimitive = string | number | boolean | null +type DocumentJsonValue = + | DocumentJsonPrimitive + | DocumentJsonObject + | DocumentJsonValue[] + +interface DocumentJsonObject { + [key: string]: DocumentJsonValue +} + +let documentJsonValueSchema: z.ZodType +documentJsonValueSchema = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(documentJsonValueSchema), + z.record(z.string(), documentJsonValueSchema), + ]) +) + /** * Remove metadata keys that are not safe for vector stores (leading $ or containing dots) */ -function sanitizeMetadata(m: Record): Record { - const out: Record = {} +function sanitizeMetadata(m: DocumentJsonObject): DocumentJsonObject { + const out: DocumentJsonObject = {} const keys = Object.keys(m) for (const k of keys) { if (k.startsWith('$') || k.includes('.')) { @@ -72,7 +94,7 @@ export interface DocumentChunkingContext extends RequestContext { */ const CustomDocumentChunkingInputSchema = z.object({ documentContent: z.string().min(1, 'Document content cannot be empty'), - documentMetadata: z.record(z.string(), z.unknown()).optional().default({}), + documentMetadata: z.record(z.string(), documentJsonValueSchema).optional().default({}), chunkingStrategy: z .enum([ 'recursive', @@ -108,7 +130,7 @@ const CustomDocumentChunkingOutputSchema = z.object({ z.object({ id: z.string(), text: z.string(), - metadata: z.record(z.string(), z.unknown()), + metadata: z.record(z.string(), documentJsonValueSchema), embeddingGenerated: z.boolean(), }) ), @@ -120,7 +142,7 @@ const CustomDocumentChunkingOutputSchema = z.object({ */ const MastraDocumentChunkingInputSchema = z.object({ documentContent: z.string().min(1, 'Document content cannot be empty'), - documentMetadata: z.record(z.string(), z.unknown()).optional().default({}), + documentMetadata: z.record(z.string(), documentJsonValueSchema).optional().default({}), chunkingStrategy: z .enum([ 'recursive', @@ -139,7 +161,7 @@ const MastraDocumentChunkingInputSchema = z.object({ chunkSeparator: z.string().default('\n'), // ExtractParams for metadata extraction (supports full ExtractParams) // Keep legacy boolean flags for convenience - extract: z.any().optional(), + extract: z.custom().optional(), extractTitle: z.boolean().default(false), extractSummary: z.boolean().default(false), extractKeywords: z.boolean().default(false), @@ -156,7 +178,7 @@ const MastraDocumentChunkingOutputSchema = z.object({ chunks: z.array( z.object({ text: z.string(), - metadata: z.record(z.string(), z.unknown()), + metadata: z.record(z.string(), documentJsonValueSchema), }) ), processingTimeMs: z.number(), @@ -199,10 +221,11 @@ Use this tool when you need advanced document processing with metadata extractio `, inputSchema: MastraDocumentChunkingInputSchema, outputSchema: MastraDocumentChunkingOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Mastra chunker tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -211,7 +234,7 @@ Use this tool when you need advanced document processing with metadata extractio log.info('Mastra chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, chunkingStrategy: 'recursive', hook: 'onInputDelta', @@ -222,7 +245,7 @@ Use this tool when you need advanced document processing with metadata extractio toolCallId, documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -504,10 +527,11 @@ content indexing, or semantic search capabilities. `, inputSchema: CustomDocumentChunkingInputSchema, outputSchema: CustomDocumentChunkingOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('MDocument chunker tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal), hook: 'onInputStart', }) @@ -516,7 +540,7 @@ content indexing, or semantic search capabilities. log.info('MDocument chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, chunkingStrategy: 'recursive', hook: 'onInputDelta', @@ -528,7 +552,7 @@ content indexing, or semantic search capabilities. documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, generateEmbeddings: input.generateEmbeddings, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abort: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -974,10 +998,11 @@ content indexing, or semantic search capabilities using LibSQL/Turso. `, inputSchema: CustomDocumentChunkingInputSchema, outputSchema: CustomDocumentChunkingOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('LibSQL chunker tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -986,7 +1011,7 @@ content indexing, or semantic search capabilities using LibSQL/Turso. log.info('LibSQL chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, chunkingStrategy: 'recursive', hook: 'onInputDelta', @@ -998,7 +1023,7 @@ content indexing, or semantic search capabilities using LibSQL/Turso. documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, generateEmbeddings: input.generateEmbeddings, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -1439,7 +1464,7 @@ Use this tool to improve retrieval quality by re-ranking initial search results. vectorWeight: z.number().min(0).max(1).default(0.3), positionWeight: z.number().min(0).max(1).default(0.2), // Optional metadata filter (MongoDB/Sift-style) - filter: z.record(z.string(), z.any()).optional(), + filter: z.record(z.string(), documentJsonValueSchema).optional(), includeVector: z.boolean().default(false), rerankModel: z.string().default('google/gemini-3.1-flash-lite'), }), @@ -1450,17 +1475,18 @@ Use this tool to improve retrieval quality by re-ranking initial search results. z.object({ id: z.string(), text: z.string(), - metadata: z.record(z.string(), z.unknown()), + metadata: z.record(z.string(), documentJsonValueSchema), relevanceScore: z.number(), rank: z.number(), }) ), processingTimeMs: z.number(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Document reranker tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -1471,7 +1497,7 @@ Use this tool to improve retrieval quality by re-ranking initial search results. userQuery: input.userQuery, indexName: input.indexName, topK: input.topK, - messageCount: messages.length, + messageCount: messages?.length ?? 0, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) diff --git a/src/mastra/tools/downsample.tool.ts b/src/mastra/tools/downsample.tool.ts index 9a6806ad..20ba2b42 100644 --- a/src/mastra/tools/downsample.tool.ts +++ b/src/mastra/tools/downsample.tool.ts @@ -19,6 +19,7 @@ export const downsampleTool = createTool({ originalLength: z.number(), target: z.number(), }), + strict: true, execute: async (input, context) => { const writer = context?.writer @@ -243,7 +244,7 @@ export const downsampleTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Downsample tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -252,7 +253,7 @@ export const downsampleTool = createTool({ log.info('Downsample tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -260,7 +261,7 @@ export const downsampleTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Downsample tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { valuesCount: input.values.length, target: input.target, @@ -273,7 +274,7 @@ export const downsampleTool = createTool({ log.info('Downsample tool completed', { toolCallId, toolName, - outputData: { sampledCount: output.values.length }, + outputData: { sampledCount: output?.values?.length ?? 0 }, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/editor-agent-tool.ts b/src/mastra/tools/editor-agent-tool.ts index 6df85ace..c6e76df3 100644 --- a/src/mastra/tools/editor-agent-tool.ts +++ b/src/mastra/tools/editor-agent-tool.ts @@ -45,6 +45,7 @@ export const editorTool = createTool({ .describe('Desired tone for the edited content'), }), outputSchema: editorToolOutputSchema, + strict: true, onInputStart: ({ toolCallId }) => { log.info('editorTool tool input streaming started', { toolCallId, @@ -70,24 +71,6 @@ export const editorTool = createTool({ hook: 'onInputAvailable', }) }, - toModelOutput: (output: EditorAgentOutput) => ({ - type: 'text', - value: [ - `Content type: ${output.contentType}`, - output.changes.length > 0 - ? `Changes: ${output.changes.join('; ')}` - : undefined, - output.suggestions?.length - ? `Suggestions: ${output.suggestions.join('; ')}` - : undefined, - output.editedContent, - ] - .filter( - (part): part is string => - typeof part === 'string' && part.trim().length > 0 - ) - .join('\n\n'), - }), // Streaming: Pipe a nested agent's textStream into the tool writer so the UI // receives nested agent chunks while the tool is running. See: // https://mastra.ai/docs/streaming/tool-streaming#tool-using-an-agent @@ -277,6 +260,33 @@ export const editorTool = createTool({ }) } }, + toModelOutput: (output: EditorAgentOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Content type: ${output.contentType}`, + }, + output.changes.length > 0 + ? { + type: 'text' as const, + text: `Changes:\n- ${output.changes.join('\n- ')}`, + } + : undefined, + output.suggestions?.length + ? { + type: 'text' as const, + text: `Suggestions:\n- ${output.suggestions.join('\n- ')}`, + } + : undefined, + { + type: 'text' as const, + text: output.editedContent, + }, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), onOutput: ({ output, toolCallId, toolName }) => { log.info('editorTool completed', { toolCallId, diff --git a/src/mastra/tools/evaluateResultTool.ts b/src/mastra/tools/evaluateResultTool.ts index 06310ad2..2c09828f 100644 --- a/src/mastra/tools/evaluateResultTool.ts +++ b/src/mastra/tools/evaluateResultTool.ts @@ -13,6 +13,10 @@ const evaluateResultOutputSchema = z.object({ }) type EvaluateResultOutput = z.infer +const evaluateResultFallbackOutput: EvaluateResultOutput = { + isRelevant: false, + reason: '', +} export const evaluateResultTool = createTool({ id: 'evaluate-result', @@ -33,6 +37,7 @@ export const evaluateResultTool = createTool({ .optional(), }), outputSchema: evaluateResultOutputSchema, + strict: true, onInputStart: ({ toolCallId }) => { log.info('Evaluate result tool input streaming started', { toolCallId, @@ -55,10 +60,6 @@ export const evaluateResultTool = createTool({ hook: 'onInputAvailable', }) }, - toModelOutput: (output: EvaluateResultOutput) => ({ - type: 'text', - value: `${output.isRelevant ? 'Relevant' : 'Not relevant'}: ${output.reason}`, - }), execute: async (inputData, context) => { await context?.writer?.custom({ type: 'data-tool-progress', @@ -305,10 +306,18 @@ export const evaluateResultTool = createTool({ } } }, - onOutput: ({ toolCallId, toolName }) => { + toModelOutput: (output: EvaluateResultOutput) => ({ + type: 'text', + value: `${output.isRelevant ? 'Relevant' : 'Not relevant'}: ${output.reason}`, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Evaluate result completed', { toolCallId, toolName, + outputData: { + isRelevant: output.isRelevant, + reason: output.reason, + }, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/extractLearningsTool.ts b/src/mastra/tools/extractLearningsTool.ts index 6f97c349..08d1c56e 100644 --- a/src/mastra/tools/extractLearningsTool.ts +++ b/src/mastra/tools/extractLearningsTool.ts @@ -18,6 +18,11 @@ const extractLearningsOutputSchema = z.object({ type ExtractLearningsOutput = z.infer +const extractLearningsFallbackOutput: ExtractLearningsOutput = { + learning: '', + followUpQuestions: [], +} + export const extractLearningsTool = createTool({ id: 'extract-learnings', description: @@ -33,14 +38,7 @@ export const extractLearningsTool = createTool({ .describe('The search result to process'), }), outputSchema: extractLearningsOutputSchema, - toModelOutput: (output: ExtractLearningsOutput) => ({ - type: 'text', - value: - output.followUpQuestions.length > 0 - ? `Learning: ${output.learning}\n\nFollow-up question: ${output.followUpQuestions[0]}` - : `Learning: ${output.learning}`, - }), - + strict: true, execute: async (inputData, context) => { const mastra = context?.mastra const writer = context?.writer @@ -313,7 +311,7 @@ export const extractLearningsTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('extractLearningsTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -322,7 +320,7 @@ export const extractLearningsTool = createTool({ log.info('extractLearningsTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -330,7 +328,7 @@ export const extractLearningsTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('extractLearningsTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { query: input.query, result: { @@ -342,21 +340,30 @@ export const extractLearningsTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output: ExtractLearningsOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Learning: ${output.learning}`, + }, + output.followUpQuestions.length > 0 + ? { + type: 'text' as const, + text: `Follow-up questions:\n- ${output.followUpQuestions.join('\n- ')}`, + } + : undefined, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ), + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const parsed = z - .object({ - learning: z.string(), - followUpQuestions: z.array(z.string()), - }) - .safeParse(output) log.info('extractLearningsTool completed', { toolCallId, toolName, outputData: { - learning: parsed.success ? parsed.data.learning : '', - followUpQuestions: parsed.success - ? parsed.data.followUpQuestions - : [], + learning: output.learning, + followUpQuestions: output.followUpQuestions, }, abortSignal: abortSignal?.aborted, hook: 'onOutput', diff --git a/src/mastra/tools/fetch.tool.ts b/src/mastra/tools/fetch.tool.ts index 73085c57..8776ca29 100644 --- a/src/mastra/tools/fetch.tool.ts +++ b/src/mastra/tools/fetch.tool.ts @@ -762,12 +762,13 @@ export const fetchTool = createTool({ 'Production fetch/search tool with RE2 filtering and markdown output. No fallback, no file writes.', inputSchema: fetchToolInputSchema, outputSchema: fetchToolOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Fetch tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -776,7 +777,7 @@ export const fetchTool = createTool({ log.info('Fetch tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -784,7 +785,7 @@ export const fetchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Fetch tool input available', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, url: input.url, query: input.query, @@ -1084,12 +1085,15 @@ export const fetchTool = createTool({ } }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const parsed = fetchToolOutputSchema.safeParse(output) + const safeOutput = parsed.success ? parsed.data : undefined + log.info('Fetch tool completed', { toolCallId, toolName, abortSignal: abortSignal?.aborted, - mode: output.mode, - resultCount: output.results?.length ?? 0, + mode: safeOutput?.mode ?? 'unknown', + resultCount: safeOutput?.results?.length ?? 0, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/financial-chart-tools.ts b/src/mastra/tools/financial-chart-tools.ts index e873c2b8..01c5cf73 100644 --- a/src/mastra/tools/financial-chart-tools.ts +++ b/src/mastra/tools/financial-chart-tools.ts @@ -20,6 +20,28 @@ const chartStreamOutputSchema = z.object({ type ChartStreamOutput = z.infer +type FinancialChartJsonPrimitive = string | number | boolean | null +type FinancialChartJsonValue = + | FinancialChartJsonPrimitive + | FinancialChartJsonObject + | FinancialChartJsonValue[] + +interface FinancialChartJsonObject { + [key: string]: FinancialChartJsonValue +} + +let financialChartJsonValueSchema: z.ZodType +financialChartJsonValueSchema = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(financialChartJsonValueSchema), + z.record(z.string(), financialChartJsonValueSchema), + ]) +) + /** * Chart Supervisor Tool * Orchestrates the complete chart creation pipeline @@ -81,7 +103,7 @@ export const chartSupervisorTool = createTool({ data: z .object({ chartData: z - .array(z.record(z.string(), z.unknown())) + .array(z.record(z.string(), financialChartJsonValueSchema)) .describe('Processed data for Recharts'), metadata: z.object({ symbols: z.array(z.string()), @@ -113,6 +135,7 @@ export const chartSupervisorTool = createTool({ }) ), }), + strict: true, execute: async (inputData, context) => { const { @@ -320,6 +343,14 @@ Please: hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartSupervisorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId }) => { log.info('chartSupervisorTool received input', { toolCallId, @@ -335,6 +366,10 @@ Please: hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName }) => { log.info('chartSupervisorTool completed', { toolCallId, @@ -372,7 +407,7 @@ export const chartGeneratorTool = createTool({ ]) .describe('The Recharts chart type to generate'), data: z - .array(z.record(z.string(), z.unknown())) + .array(z.record(z.string(), financialChartJsonValueSchema)) .describe('The chart data array'), dataKeys: z .array(z.string()) @@ -415,9 +450,10 @@ export const chartGeneratorTool = createTool({ componentName: z.string(), code: z.string(), usage: z.string(), - props: z.record(z.string(), z.unknown()), + props: z.record(z.string(), financialChartJsonValueSchema), dependencies: z.array(z.string()), }), + strict: true, execute: async (inputData, context) => { const { @@ -610,6 +646,14 @@ Return JSON with: componentName, code, usage, props, dependencies` hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartGeneratorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId }) => { log.info('chartGeneratorTool received input', { toolCallId, @@ -626,6 +670,10 @@ Return JSON with: componentName, code, usage, props, dependencies` hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName }) => { log.info('chartGeneratorTool completed', { toolCallId, @@ -691,10 +739,12 @@ export const chartDataProcessorTool = createTool({ .describe('Additional calculations to perform'), }), outputSchema: z.object({ - chartData: z.array(z.record(z.string(), z.unknown())), + chartData: z.array( + z.record(z.string(), financialChartJsonValueSchema) + ), dataKeys: z.array(z.string()), domain: z.object({ - x: z.array(z.unknown()), + x: z.array(financialChartJsonValueSchema), y: z.array(z.number()), }), metadata: z.object({ @@ -704,8 +754,11 @@ export const chartDataProcessorTool = createTool({ lastUpdated: z.string(), interval: z.string(), }), - calculations: z.record(z.string(), z.unknown()).optional(), + calculations: z + .record(z.string(), financialChartJsonValueSchema) + .optional(), }), + strict: true, execute: async (inputData, context) => { const { @@ -906,6 +959,14 @@ Return JSON with: hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartDataProcessorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId }) => { log.info('chartDataProcessorTool received input', { toolCallId, @@ -919,6 +980,10 @@ Return JSON with: hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName }) => { log.info('chartDataProcessorTool completed', { toolCallId, @@ -997,6 +1062,7 @@ export const chartTypeAdvisorTool = createTool({ suggestedHeight: z.number(), }), }), + strict: true, execute: async (inputData, context) => { const { @@ -1192,6 +1258,14 @@ Return JSON with: primaryRecommendation, alternatives, configuration` hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartTypeAdvisorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId }) => { log.info('chartTypeAdvisorTool received input', { toolCallId, @@ -1204,6 +1278,10 @@ Return JSON with: primaryRecommendation, alternatives, configuration` hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName }) => { log.info('chartTypeAdvisorTool completed', { toolCallId, diff --git a/src/mastra/tools/finnhub-tools.ts b/src/mastra/tools/finnhub-tools.ts index 0267f84e..796874b9 100644 --- a/src/mastra/tools/finnhub-tools.ts +++ b/src/mastra/tools/finnhub-tools.ts @@ -13,8 +13,26 @@ import { } from '../config/logger' import { httpFetch } from '../lib/http-client' +type FinnhubJsonPrimitive = string | number | boolean | null +type FinnhubJsonValue = FinnhubJsonPrimitive | FinnhubJsonObject | FinnhubJsonValue[] + +interface FinnhubJsonObject { + [key: string]: FinnhubJsonValue +} + +const finnhubJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(finnhubJsonValueSchema), + z.record(z.string(), finnhubJsonValueSchema), + ]) +) + interface FinnhubApiResponse { - [key: string]: unknown + [key: string]: FinnhubJsonValue error?: string } @@ -37,7 +55,7 @@ export const finnhubQuotesTool = createTool({ symbol: z.string().describe("Stock symbol (e.g., 'AAPL', 'MSFT')"), }), outputSchema: z.object({ - data: z.any().describe('The quote data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The quote data returned from Finnhub API'), metadata: z .object({ symbol: z.string().optional(), @@ -45,6 +63,7 @@ export const finnhubQuotesTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -208,7 +227,7 @@ export const finnhubQuotesTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub quotes input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -217,7 +236,7 @@ export const finnhubQuotesTool = createTool({ log.info('Finnhub quotes received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -225,12 +244,30 @@ export const finnhubQuotesTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub quotes received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, symbol: input.symbol, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub quotes for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub quotes completed', { toolCallId, @@ -266,7 +303,7 @@ export const finnhubCompanyTool = createTool({ to: z.string().optional().describe('End date for news (YYYY-MM-DD)'), }), outputSchema: z.object({ - data: z.any().describe('The company data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The company data returned from Finnhub API'), metadata: z .object({ function: z.string(), @@ -277,6 +314,7 @@ export const finnhubCompanyTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -483,7 +521,7 @@ export const finnhubCompanyTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub company input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -492,7 +530,7 @@ export const finnhubCompanyTool = createTool({ log.info('Finnhub company received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -500,13 +538,31 @@ export const finnhubCompanyTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub company received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, function: String(input.function), symbol: input.symbol, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub company ${output.metadata?.function ?? 'request'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub company completed', { toolCallId, @@ -545,7 +601,7 @@ export const finnhubFinancialsTool = createTool({ symbol: z.string().describe("Stock symbol (e.g., 'AAPL', 'MSFT')"), }), outputSchema: z.object({ - data: z.any().describe('The financials data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The financials data returned from Finnhub API'), metadata: z .object({ function: z.string(), @@ -554,6 +610,7 @@ export const finnhubFinancialsTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -752,7 +809,7 @@ export const finnhubFinancialsTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub financials input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -761,7 +818,7 @@ export const finnhubFinancialsTool = createTool({ log.info('Finnhub financials received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -769,13 +826,31 @@ export const finnhubFinancialsTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub financials received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, function: String(input.function), symbol: input.symbol, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub financials ${output.metadata?.function ?? 'request'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub financials completed', { toolCallId, @@ -807,7 +882,7 @@ export const finnhubAnalysisTool = createTool({ symbol: z.string().describe("Stock symbol (e.g., 'AAPL', 'MSFT')"), }), outputSchema: z.object({ - data: z.any().describe('The analysis data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The analysis data returned from Finnhub API'), metadata: z .object({ function: z.string(), @@ -816,6 +891,7 @@ export const finnhubAnalysisTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1006,7 +1082,7 @@ export const finnhubAnalysisTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub analysis input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1015,7 +1091,7 @@ export const finnhubAnalysisTool = createTool({ log.info('Finnhub analysis received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -1023,13 +1099,31 @@ export const finnhubAnalysisTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub analysis received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, function: String(input.function), symbol: input.symbol, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub analysis ${output.metadata?.function ?? 'request'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub analysis completed', { toolCallId, @@ -1089,7 +1183,7 @@ export const finnhubTechnicalTool = createTool({ ), }), outputSchema: z.object({ - data: z.any().describe('The technical data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The technical data returned from Finnhub API'), metadata: z .object({ function: z.string(), @@ -1102,6 +1196,7 @@ export const finnhubTechnicalTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1338,7 +1433,7 @@ export const finnhubTechnicalTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub technical input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1347,7 +1442,7 @@ export const finnhubTechnicalTool = createTool({ log.info('Finnhub technical received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -1355,7 +1450,7 @@ export const finnhubTechnicalTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub technical received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, function: String(input.function), symbol: input.symbol, resolution: input.resolution, @@ -1363,6 +1458,24 @@ export const finnhubTechnicalTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub technical ${output.metadata?.function ?? 'request'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub technical completed', { toolCallId, @@ -1391,7 +1504,7 @@ export const finnhubEconomicTool = createTool({ .describe("Economic data code (e.g., 'MA-USA-656880')"), }), outputSchema: z.object({ - data: z.any().describe('The economic data returned from Finnhub API'), + data: finnhubJsonValueSchema.describe('The economic data returned from Finnhub API'), metadata: z .object({ economic_code: z.string().optional(), @@ -1399,6 +1512,7 @@ export const finnhubEconomicTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1562,7 +1676,7 @@ export const finnhubEconomicTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Finnhub economic input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -1571,7 +1685,7 @@ export const finnhubEconomicTool = createTool({ log.info('Finnhub economic received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -1579,12 +1693,30 @@ export const finnhubEconomicTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Finnhub economic received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, economic_code: input.economic_code, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Finnhub economic ${output.metadata?.economic_code ?? 'request'}`, + }, + output.message + ? { + type: 'text' as const, + text: output.message, + } + : { + type: 'text' as const, + text: `Returned ${output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level field(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Finnhub economic completed', { toolCallId, diff --git a/src/mastra/tools/git-local.tool.ts b/src/mastra/tools/git-local.tool.ts index 8d3e8336..bf71564c 100644 --- a/src/mastra/tools/git-local.tool.ts +++ b/src/mastra/tools/git-local.tool.ts @@ -342,6 +342,7 @@ export const gitStatusTool = createTool({ conflictedFiles: z.array(z.string()), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer @@ -535,7 +536,7 @@ export const gitStatusTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Git status tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -544,7 +545,7 @@ export const gitStatusTool = createTool({ log.info('Git status tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -552,7 +553,7 @@ export const gitStatusTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Git status tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { repoPath: input.repoPath, porcelain: input.porcelain }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -634,6 +635,7 @@ export const gitDiffTool = createTool({ patch: z.string().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext @@ -858,6 +860,7 @@ export const gitCommitTool = createTool({ previousHash: z.string().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext @@ -1101,6 +1104,7 @@ export const gitLogTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext @@ -1428,6 +1432,7 @@ export const gitBranchTool = createTool({ conflicts: z.array(z.string()).optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext @@ -1827,6 +1832,7 @@ export const gitStashTool = createTool({ diff: z.string().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext @@ -2141,6 +2147,7 @@ export const gitConfigTool = createTool({ value: z.string().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const requestContext = context?.requestContext diff --git a/src/mastra/tools/github.ts b/src/mastra/tools/github.ts index 8042451e..952454df 100644 --- a/src/mastra/tools/github.ts +++ b/src/mastra/tools/github.ts @@ -202,6 +202,7 @@ export const listRepositories = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as @@ -339,7 +340,7 @@ export const listRepositories = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('GitHub list repositories tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -349,7 +350,7 @@ export const listRepositories = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -357,7 +358,7 @@ export const listRepositories = createTool({ const scope = input.org !== undefined && input.org !== '' ? `org:${input.org}` : 'user' log.info('GitHub list repositories received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, scope, type: input.type, @@ -455,6 +456,7 @@ export const listPullRequests = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -577,6 +579,7 @@ export const listCommits = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -696,6 +699,7 @@ export const listIssues = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -823,6 +827,7 @@ export const createIssue = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -934,6 +939,7 @@ export const createRelease = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1056,6 +1062,7 @@ export const getRepositoryInfo = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1179,6 +1186,7 @@ export const searchCode = createTool({ totalCount: z.number().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1300,6 +1308,7 @@ export const getFileContent = createTool({ size: z.number().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1423,6 +1432,7 @@ export const getRepoFileTree = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1572,6 +1582,7 @@ export const createPullRequest = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1681,6 +1692,7 @@ export const mergePullRequest = createTool({ merged: z.boolean().optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1781,6 +1793,7 @@ export const addIssueComment = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -1891,6 +1904,7 @@ export const getPullRequest = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -2010,6 +2024,7 @@ export const getIssue = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext diff --git a/src/mastra/tools/image-tool.ts b/src/mastra/tools/image-tool.ts index 87ec577d..bf882f62 100644 --- a/src/mastra/tools/image-tool.ts +++ b/src/mastra/tools/image-tool.ts @@ -6,8 +6,6 @@ import type { RequestContext } from '@mastra/core/request-context' import type { InferUITool } from '@mastra/core/tools' import { createTool } from '@mastra/core/tools' import { SpanType, getOrCreateSpan } from '@mastra/core/observability' -import { promises as fs } from 'node:fs' -import * as path from 'node:path' import { z } from 'zod' import { mainFilesystem } from '../workspaces' import { log } from '../config/logger' @@ -15,14 +13,8 @@ import sharp from 'sharp' import type { PSM } from 'tesseract.js' import { createWorker } from 'tesseract.js' -function resolveWorkspacePath(filePath: string): string { - const resolvedPath = path.resolve(mainFilesystem.basePath, filePath) - if (!resolvedPath.startsWith(path.resolve(mainFilesystem.basePath))) { - throw new Error( - 'Path traversal detected: Cannot access files outside the workspace' - ) - } - return resolvedPath +function getFileName(filePath: string): string { + return filePath.split(/[\\/]/).pop() ?? filePath } export interface ImageToolContext extends RequestContext { @@ -64,10 +56,11 @@ export const ocrTool = createTool({ ) .describe('Text blocks with bounding boxes'), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('OCR tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -83,7 +76,7 @@ export const ocrTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('OCR tool received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { imagePath: input.imagePath, language: input.language }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -226,14 +219,27 @@ export const ocrTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `OCR confidence: ${output.confidence.toFixed(1)}%`, + }, + { + type: 'text' as const, + text: output.text, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('OCR tool completed', { toolCallId, toolName, outputData: { - textLength: output.text.length, - confidence: output.confidence, - blockCount: output.blocks.length, + textLength: output?.text?.length ?? 0, + confidence: output?.confidence, + blockCount: output?.blocks?.length ?? 0, }, abortSignal: abortSignal?.aborted, hook: 'onOutput', @@ -303,6 +309,7 @@ export const imageProcessorTool = createTool({ format: z.string(), sizeBytes: z.number(), }), + strict: true, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -394,13 +401,11 @@ export const imageProcessorTool = createTool({ .webp({ quality: ops.quality }) } - const workspaceOutputPath = resolveWorkspacePath(input.outputPath) - - await pipeline.toFile(workspaceOutputPath) + const outputBuffer = await pipeline.toBuffer() + await mainFilesystem.writeFile(input.outputPath, outputBuffer) - const outputMetadata = await sharp(workspaceOutputPath).metadata() - const fileStat = await fs.stat(workspaceOutputPath) - const sizeBytes = fileStat.size + const outputMetadata = await sharp(outputBuffer).metadata() + const sizeBytes = outputBuffer.byteLength processSpan?.update({ output: { @@ -450,7 +455,7 @@ export const imageProcessorTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Image processor tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -466,7 +471,7 @@ export const imageProcessorTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Image processor tool received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { inputPath: input.inputPath, outputPath: input.outputPath, @@ -475,15 +480,19 @@ export const imageProcessorTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'text', + value: `${output.success ? 'Image processing succeeded' : 'Image processing completed'}${output.width !== undefined && output.height !== undefined ? `: ${output.width}x${output.height}` : ''}${output.sizeBytes !== undefined ? ` (${output.sizeBytes} bytes)` : ''}.`, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Image processor tool completed', { toolCallId, toolName, outputData: { - success: output.success, - width: output.width, - height: output.height, - sizeBytes: output.sizeBytes, + success: output?.success ?? false, + width: output?.width, + height: output?.height, + sizeBytes: output?.sizeBytes, }, abortSignal: abortSignal?.aborted, hook: 'onOutput', @@ -529,6 +538,7 @@ export const imageToMarkdownTool = createTool({ hasHeadings: z.boolean(), }), }), + strict: true, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -542,7 +552,7 @@ export const imageToMarkdownTool = createTool({ type: 'data-tool-progress', data: { status: 'in-progress', - message: `📝 Converting image to markdown: ${path.basename(input.imagePath)}`, + message: `📝 Converting image to markdown: ${getFileName(input.imagePath)}`, stage: 'image-to-markdown', }, id: 'image-to-markdown', @@ -571,7 +581,7 @@ export const imageToMarkdownTool = createTool({ throw new Error('OCR tool is not executable') } - const workspaceImagePath = resolveWorkspacePath(input.imagePath) + const imageBuffer = await mainFilesystem.readFile(input.imagePath) const ocrResult = await executeOcr( { @@ -598,7 +608,7 @@ export const imageToMarkdownTool = createTool({ }) // Get image metadata - const metadata = await sharp(workspaceImagePath).metadata() + const metadata = await sharp(imageBuffer).metadata() // Simple markdown generation (could be enhanced with ML for layout analysis) let markdown = '' @@ -761,7 +771,7 @@ export const imageToMarkdownTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Image to markdown tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -777,12 +787,25 @@ export const imageToMarkdownTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Image to markdown tool received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { imagePath: input.imagePath }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Extracted markdown (${String(output.metadata.wordCount)} words, ${String(output.metadata.lineCount)} lines)`, + }, + { + type: 'text' as const, + text: output.markdown, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Image to markdown tool completed', { toolCallId, diff --git a/src/mastra/tools/index.ts b/src/mastra/tools/index.ts index fe63abf5..411ec841 100644 --- a/src/mastra/tools/index.ts +++ b/src/mastra/tools/index.ts @@ -57,6 +57,7 @@ export { evaluateResultTool } from './evaluateResultTool' export { extractLearningsTool } from './extractLearningsTool' export { colorChangeTool } from './color-change-tool' export { mdocumentChunker, libsqlChunker, documentRerankerTool, mastraChunker } from './document-chunking.tool' +export { convexChunker, convexGraphQueryTool, convexVectorQueryTool, convexRerankerTool } from './convex-rag' export { editorTool } from './editor-agent-tool' export { readPDF } from './pdf' export { diff --git a/src/mastra/tools/json-to-csv.tool.ts b/src/mastra/tools/json-to-csv.tool.ts index d0d18e37..b8d915b2 100644 --- a/src/mastra/tools/json-to-csv.tool.ts +++ b/src/mastra/tools/json-to-csv.tool.ts @@ -4,6 +4,7 @@ import { createTool } from '@mastra/core/tools' import { SpanType, getOrCreateSpan } from '@mastra/core/observability' import type { TracingContext } from '@mastra/core/observability' import { z } from 'zod' +import { stringify } from 'csv-stringify/sync' import { log } from '../config/logger' export interface JsonToCsvRequestContext extends RequestContext { @@ -12,12 +13,33 @@ export interface JsonToCsvRequestContext extends RequestContext { } } +type JsonValue = string | number | boolean | null | JsonObject | JsonValue[] + +interface JsonObject { + [key: string]: JsonValue +} + +const jsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(jsonValueSchema), + z.record(z.string(), jsonValueSchema), + ]) +) + +const jsonToCsvToolOutputSchema = z.object({ + csv: z.string().describe('Generated CSV content'), +}) + export const jsonToCsvTool = createTool({ id: 'json-to-csv', description: 'Convert JSON data to CSV format. Handles arrays of objects.', inputSchema: z.object({ data: z - .array(z.record(z.string(), z.any())) + .array(z.record(z.string(), jsonValueSchema)) .describe('Array of JSON objects to convert'), options: z .object({ @@ -36,6 +58,8 @@ export const jsonToCsvTool = createTool({ includeHeaders: true, }), }), + outputSchema: jsonToCsvToolOutputSchema, + strict: true, execute: async (input, context) => { const writer = context?.writer const requestContext = context?.requestContext as @@ -103,50 +127,32 @@ export const jsonToCsvTool = createTool({ ) } - // Collect all unique keys for headers + const delimiter = resolvedOptions.delimiter || ',' const headers = Array.from( new Set(data.flatMap((row) => Object.keys(row))) ) - const delimiter = resolvedOptions.delimiter || ',' - const escapeValue = (value: unknown): string => { - if (value === null || value === undefined) { - return '' - } - const stringValue = - typeof value === 'object' - ? JSON.stringify(value) - : typeof value === 'string' - ? value - : String(value as number | boolean | bigint) + const normalizedRows = data.map((record) => { + const normalizedRecord: Record = {} - // If value contains delimiter, quote, or newline, escape it - if ( - stringValue.includes(delimiter) || - stringValue.includes('"') || - stringValue.includes('\n') || - stringValue.includes('\r') - ) { - return `"${stringValue.replace(/"/g, '""')}"` + for (const header of headers) { + const value = record[header] + normalizedRecord[header] = + value === null || value === undefined + ? '' + : typeof value === 'object' + ? JSON.stringify(value) + : String(value) } - return stringValue - } - - const rows: string[] = [] - if (resolvedOptions.includeHeaders) { - rows.push(headers.map((h) => escapeValue(h)).join(delimiter)) - } - - for (const record of data) { - const typedRecord = record as Record - const row = headers.map((header) => - escapeValue(typedRecord[header]) - ) - rows.push(row.join(delimiter)) - } + return normalizedRecord + }) - const csvOutput = rows.join('\n') + const csvOutput = stringify(normalizedRows, { + header: resolvedOptions.includeHeaders, + columns: headers, + delimiter, + }) // Update spans with successful result jsonCsvSpan?.update({ @@ -214,7 +220,7 @@ export const jsonToCsvTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('JSON to CSV tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -224,7 +230,7 @@ export const jsonToCsvTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -232,7 +238,7 @@ export const jsonToCsvTool = createTool({ const options = input.options ?? {} log.info('JSON to CSV received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, recordCount: input.data.length, delimiter: options.delimiter, @@ -240,14 +246,20 @@ export const jsonToCsvTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'text', + value: output.csv, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const csvOutput = - typeof output === 'object' && - output !== null && - 'csv' in output && - typeof (output as { csv?: unknown }).csv === 'string' - ? (output as { csv: string }).csv - : '' + const parsed = jsonToCsvToolOutputSchema.safeParse(output) + const csvOutput = parsed.success + ? parsed.data.csv + : typeof output === 'object' && + output !== null && + 'csv' in output && + typeof (output as { csv?: string }).csv === 'string' + ? (output as { csv: string }).csv + : '' const csvLines = csvOutput.split('\n').length log.info('JSON to CSV conversion completed', { toolCallId, diff --git a/src/mastra/tools/jwt-auth.tool.ts b/src/mastra/tools/jwt-auth.tool.ts index a3969878..b28bf716 100644 --- a/src/mastra/tools/jwt-auth.tool.ts +++ b/src/mastra/tools/jwt-auth.tool.ts @@ -23,10 +23,11 @@ export const jwtAuthTool = createTool({ exp: z.number().optional(), iat: z.number().optional(), }), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('JWT auth tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -36,14 +37,14 @@ export const jwtAuthTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ toolCallId, messages, abortSignal }) => { log.info('JWT auth received complete input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, note: 'no parameters required', hook: 'onInputAvailable', diff --git a/src/mastra/tools/leaflet.tool.ts b/src/mastra/tools/leaflet.tool.ts index 5c4edc9c..39e83bc6 100644 --- a/src/mastra/tools/leaflet.tool.ts +++ b/src/mastra/tools/leaflet.tool.ts @@ -10,6 +10,45 @@ export interface LeafletToolContext extends RequestContext { workspaceId?: string } +type LeafletJsonPrimitive = string | number | boolean | null +type LeafletJsonValue = + | LeafletJsonPrimitive + | LeafletJsonObject + | LeafletJsonValue[] + +interface LeafletJsonObject { + [key: string]: LeafletJsonValue +} + +const leafletJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(leafletJsonValueSchema), + z.record(z.string(), leafletJsonValueSchema), + ]) +) + +const leafletToolOutputSchema = z.object({ + geoJSON: leafletJsonValueSchema, + center: z.object({ + lat: z.number(), + lng: z.number(), + }), + zoom: z.number(), + markers: z.array( + z.object({ + position: z.array(z.number()), + popup: z.string().optional(), + category: z.string().optional(), + }) + ), +}) + +type LeafletToolOutput = z.infer + export const leafletTool = createTool({ id: 'leaflet-generator', description: 'Generates Leaflet/GeoJSON compatible map data structures', @@ -22,7 +61,7 @@ export const leafletTool = createTool({ title: z.string().optional(), description: z.string().optional(), category: z.string().optional(), - properties: z.record(z.string(), z.unknown()).optional(), + properties: z.record(z.string(), leafletJsonValueSchema).optional(), }) ) .describe('Map points/markers'), @@ -43,21 +82,8 @@ export const leafletTool = createTool({ .describe('Map center point (auto-calculated if omitted)'), zoom: z.number().optional().default(13), }), - outputSchema: z.object({ - geoJSON: z.unknown(), - center: z.object({ - lat: z.number(), - lng: z.number(), - }), - zoom: z.number(), - markers: z.array( - z.object({ - position: z.array(z.number()), - popup: z.string().optional(), - category: z.string().optional(), - }) - ), - }), + outputSchema: leafletToolOutputSchema, + strict: true, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -273,6 +299,19 @@ export const leafletTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output: LeafletToolOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Generated Leaflet map with ${output.markers.length} marker(s)`, + }, + { + type: 'text' as const, + text: `Center: ${output.center.lat}, ${output.center.lng} | Zoom: ${String(output.zoom)}`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Leaflet generator tool completed', { toolCallId, diff --git a/src/mastra/tools/pdf.ts b/src/mastra/tools/pdf.ts index 04b03aaa..68714aba 100644 --- a/src/mastra/tools/pdf.ts +++ b/src/mastra/tools/pdf.ts @@ -21,6 +21,7 @@ export const readPDF = createTool({ outputSchema: z.object({ content: z.string(), }), + strict: true, onInputStart: ({ toolCallId }) => { log.info('readPDF tool input streaming started', { toolCallId, @@ -43,16 +44,6 @@ export const readPDF = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName }) => { - log.info('readPDF completed', { - toolCallId, - toolName, - outputData: { - content: output.content, - }, - hook: 'onOutput', - }) - }, execute: async (inputData, context) => { const writer = context?.writer const span = getOrCreateSpan({ @@ -112,4 +103,18 @@ export const readPDF = createTool({ } } }, + toModelOutput: (output: { content: string }) => ({ + type: 'text', + value: output.content, + }), + onOutput: ({ output, toolCallId, toolName }) => { + log.info('readPDF completed', { + toolCallId, + toolName, + outputData: { + contentLength: output.content.length, + }, + hook: 'onOutput', + }) + }, }) diff --git a/src/mastra/tools/polygon-tools.ts b/src/mastra/tools/polygon-tools.ts index bbb49610..fd76e0ca 100644 --- a/src/mastra/tools/polygon-tools.ts +++ b/src/mastra/tools/polygon-tools.ts @@ -13,6 +13,40 @@ import { SpanType } from '@mastra/core/observability' import { httpFetch } from '../lib/http-client' const fetch = httpFetch +type PolygonJsonPrimitive = string | number | boolean | null +type PolygonJsonValue = PolygonJsonPrimitive | PolygonJsonObject | PolygonJsonValue[] + +interface PolygonJsonObject { + [key: string]: PolygonJsonValue +} + +const polygonJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(polygonJsonValueSchema), + z.record(z.string(), polygonJsonValueSchema), + ]) +) + +const polygonStockQuotesOutputSchema = z.object({ + data: polygonJsonValueSchema.describe( + 'The stock quotes data returned from Polygon.io API' + ), + metadata: z + .object({ + function: z.string(), + symbol: z.string().optional(), + status: z.string().optional(), + request_id: z.string().optional(), + count: z.number().optional(), + }) + .optional(), + error: z.string().optional(), +}) + /** * Governance-aware Runtime Context for Polygon.io tools * Includes security, tenant, and access control information @@ -44,11 +78,12 @@ interface PolygonRuntimeContext extends RequestContext { } interface PolygonApiResponse { - [key: string]: unknown + [key: string]: PolygonJsonValue status?: string request_id?: string count?: number error?: string + data?: PolygonJsonValue } /** @@ -82,22 +117,8 @@ export const polygonStockQuotesTool = createTool({ .optional() .describe('Sort order for results'), }), - outputSchema: z.object({ - data: z - .any() - .describe('The stock quotes data returned from Polygon.io API'), - metadata: z - .object({ - function: z.string(), - symbol: z.string().optional(), - status: z.string().optional(), - request_id: z.string().optional(), - count: z.number().optional(), - }) - .optional(), - error: z.string().optional(), - }), - + outputSchema: polygonStockQuotesOutputSchema, + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -370,7 +391,7 @@ export const polygonStockQuotesTool = createTool({ log.info('Polygon stock quotes tool input streaming started', { toolCallId, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputStart', }) }, @@ -379,7 +400,7 @@ export const polygonStockQuotesTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -387,7 +408,7 @@ export const polygonStockQuotesTool = createTool({ log.info('Polygon stock quotes received input', { toolCallId, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { symbol: input.symbol, function: input.function, @@ -397,8 +418,27 @@ export const polygonStockQuotesTool = createTool({ hook: 'onInputAvailable', }) }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon ${output.metadata?.function ?? 'quotes'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.error !== undefined && output.error !== '' + ? { + type: 'text' as const, + text: `Failed: ${output.error}`, + } + : { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const hasError = output.error !== undefined && output.error !== null && output.error.length > 0 + const hasError = + typeof output.error === 'string' && output.error.length > 0 const dataPoints = output.metadata?.count ?? 0 log[hasError ? 'warn' : 'info']('Polygon stock quotes completed', { toolCallId, @@ -478,6 +518,7 @@ export const polygonStockAggregatesTool = createTool({ .optional(), error: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -792,6 +833,7 @@ export const polygonStockFundamentalsTool = createTool({ }) .optional(), }), + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1152,6 +1194,7 @@ export const polygonCryptoQuotesTool = createTool({ .optional(), error: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1474,6 +1517,7 @@ export const polygonCryptoAggregatesTool = createTool({ .optional(), error: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1772,6 +1816,7 @@ export const polygonCryptoSnapshotsTool = createTool({ .optional(), error: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer diff --git a/src/mastra/tools/random-generator.tool.ts b/src/mastra/tools/random-generator.tool.ts index 881fdc90..ed2e868b 100644 --- a/src/mastra/tools/random-generator.tool.ts +++ b/src/mastra/tools/random-generator.tool.ts @@ -13,6 +13,25 @@ export interface RandomToolContext extends RequestContext { locale?: string } +type RandomJsonPrimitive = string | number | boolean | null +type RandomJsonValue = RandomJsonPrimitive | RandomJsonObject | RandomJsonValue[] + +interface RandomJsonObject { + [key: string]: RandomJsonValue +} + +let randomJsonValueSchema: z.ZodType +randomJsonValueSchema = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(randomJsonValueSchema), + z.record(z.string(), randomJsonValueSchema), + ]) +) + export const randomGeneratorTool = createTool({ id: 'random-generator', description: 'Generate random data for testing and development', @@ -61,19 +80,12 @@ export const randomGeneratorTool = createTool({ }), outputSchema: z.object({ success: z.boolean(), - data: z - .union([ - z.string(), - z.number(), - z.boolean(), - z.array(z.any()), - z.record(z.string(), z.any()), - ]) - .nullable(), + data: randomJsonValueSchema.nullable(), type: z.string(), count: z.number(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const requestContext = context?.requestContext as RandomToolContext const locale = @@ -120,13 +132,7 @@ export const randomGeneratorTool = createTool({ }) try { - let result: - | string - | number - | boolean - | unknown[] - | Record - | null = null + let result: RandomJsonValue | null = null if (count === 1) { result = generateRandomItem(inputData.type, { @@ -134,7 +140,7 @@ export const randomGeneratorTool = createTool({ locale, }) } else { - const items: unknown[] = [] + const items: RandomJsonValue[] = [] for (let i = 0; i < count; i++) { items.push( generateRandomItem(inputData.type, { @@ -204,10 +210,14 @@ export const randomGeneratorTool = createTool({ } } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Random generator tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -216,7 +226,7 @@ export const randomGeneratorTool = createTool({ log.info('Random generator tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -224,7 +234,7 @@ export const randomGeneratorTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Random generator tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { type: input.type, count: input.count }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', @@ -260,7 +270,7 @@ interface RandomOptions { function generateRandomItem( type: string, options?: RandomOptions -): string | number | boolean | unknown[] | Record { +): RandomJsonValue { switch (type) { case 'string': return generateRandomString( @@ -459,16 +469,16 @@ function generateRandomAddress(locale = 'en'): string { return `${number} ${street}, ${city}` } -function generateRandomArray(length: number, itemType: string): unknown[] { - const result = [] +function generateRandomArray(length: number, itemType: string): RandomJsonValue[] { + const result: RandomJsonValue[] = [] for (let i = 0; i < length; i++) { result.push(generateRandomItem(itemType)) } return result } -function generateRandomObject(properties: number): Record { - const result: Record = {} +function generateRandomObject(properties: number): RandomJsonObject { + const result: RandomJsonObject = {} for (let i = 0; i < properties; i++) { const key = `prop${i + 1}` const type = ['string', 'number', 'boolean'][ diff --git a/src/mastra/tools/serpapi-academic-local.tool.ts b/src/mastra/tools/serpapi-academic-local.tool.ts index 9761affd..1a7288d0 100644 --- a/src/mastra/tools/serpapi-academic-local.tool.ts +++ b/src/mastra/tools/serpapi-academic-local.tool.ts @@ -173,6 +173,7 @@ export const googleScholarTool = createTool({ 'Search Google Scholar for academic papers and citations. Filter by year range, include/exclude patents, and sort by relevance or date. Returns paper title, authors, publication, year, citation count, and PDF links when available. Useful for research and finding academic sources.', inputSchema: googleScholarInputSchema, outputSchema: googleScholarOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Google Scholar tool input streaming started', { toolCallId, @@ -401,10 +402,11 @@ export const googleFinanceTool = createTool({ 'Get stock quotes and financial data from Google Finance. Returns current price, change, market cap, volume, high/low, and recent financial news. Use for real-time stock information and market data.', inputSchema: googleFinanceInputSchema, outputSchema: googleFinanceOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Google Finance tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -413,7 +415,7 @@ export const googleFinanceTool = createTool({ log.info('Google Finance tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -421,7 +423,7 @@ export const googleFinanceTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google Finance received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { query: input.query, exchange: input.exchange, @@ -595,10 +597,11 @@ export const yelpSearchTool = createTool({ 'Search Yelp for local businesses and reviews. Requires location parameter. Filter by price range, open now status, and sort by recommended, rating, or review count. Returns business name, rating, reviews, address, phone, hours, and photos. Best for finding local services and restaurants.', inputSchema: yelpSearchInputSchema, outputSchema: yelpSearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Yelp Search tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -607,7 +610,7 @@ export const yelpSearchTool = createTool({ log.info('Yelp Search tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -615,7 +618,7 @@ export const yelpSearchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Yelp Search received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { query: input.query, location: input.location, @@ -741,7 +744,7 @@ export const yelpSearchTool = createTool({ log.info('Yelp Search completed', { toolCallId, toolName, - outputData: { businessCount: output.businesses.length }, + outputData: { businessCount: output?.businesses?.length ?? 0 }, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/serpapi-images.tool.ts b/src/mastra/tools/serpapi-images.tool.ts index 3b57cf40..f844aff8 100644 --- a/src/mastra/tools/serpapi-images.tool.ts +++ b/src/mastra/tools/serpapi-images.tool.ts @@ -158,6 +158,24 @@ export const googleImagesTool = createTool({ 'Search Google Images and return structured image results, inline images, suggested searches, and a compact knowledge-graph summary. Useful for visual research, inspiration, and image source discovery.', inputSchema: googleImagesInputSchema, outputSchema: googleImagesOutputSchema, + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Google Images input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + aborted: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Google Images received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + aborted: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google Images received input', { toolCallId, @@ -314,11 +332,60 @@ export const googleImagesTool = createTool({ }) } }, + toModelOutput: (output: z.infer) => { + const featuredThumbnails = + output.inlineImages?.length && output.inlineImages.length > 0 + ? output.inlineImages.slice(0, 3).map((image) => image.thumbnail) + : output.imagesResults.slice(0, 3).map((image) => image.thumbnail) + + const textParts = [ + { + type: 'text' as const, + text: `Google Images returned ${output.imagesResults.length} image result(s).`, + }, + output.knowledgeGraph?.title + ? { + type: 'text' as const, + text: [ + `Knowledge graph: ${output.knowledgeGraph.title}`, + output.knowledgeGraph.type + ? `Type: ${output.knowledgeGraph.type}` + : undefined, + output.knowledgeGraph.description, + output.knowledgeGraph.merchantDescription, + ] + .filter((part): part is string => Boolean(part)) + .join(' — '), + } + : undefined, + output.inlineImageSuggestedSearches?.length + ? { + type: 'text' as const, + text: `Suggested searches: ${output.inlineImageSuggestedSearches + .slice(0, 5) + .map((search) => search.name) + .join(', ')}`, + } + : undefined, + ].filter( + (part): part is { type: 'text'; text: string } => Boolean(part) + ) + + const imageParts = featuredThumbnails.map((url) => ({ + type: 'image-url' as const, + url, + })) + + return { + type: 'content', + value: [...textParts, ...imageParts], + } + }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Google Images completed', { toolCallId, toolName, - imageCount: output.imagesResults.length, + imageCount: output?.imagesResults?.length ?? 0, aborted: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/serpapi-local-maps.tool.ts b/src/mastra/tools/serpapi-local-maps.tool.ts index c0a07e81..661f81b9 100644 --- a/src/mastra/tools/serpapi-local-maps.tool.ts +++ b/src/mastra/tools/serpapi-local-maps.tool.ts @@ -425,6 +425,7 @@ export const googleLocalTool = createTool({ 'Search Google Local for nearby businesses and locations. Returns normalized business details including ratings, review counts, map IDs, contact data, hours, and navigation links. Best for location discovery and place research.', inputSchema: googleLocalInputSchema, outputSchema: googleLocalOutputSchema, + strict: true, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google Local received input', { toolCallId, @@ -598,7 +599,7 @@ export const googleLocalTool = createTool({ log.info('Google Local completed', { toolCallId, toolName, - placeCount: output.localResults.length, + placeCount: output?.localResults?.length ?? 0, aborted: abortSignal?.aborted, hook: 'onOutput', }) @@ -614,6 +615,7 @@ export const googleMapsReviewsTool = createTool({ 'Fetch Google Maps reviews for a business or place using either the Maps data ID or place ID. Returns structured place details, review topics, and normalized review entries for downstream analysis.', inputSchema: googleMapsReviewsInputSchema, outputSchema: googleMapsReviewsOutputSchema, + strict: true, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google Maps Reviews received input', { toolCallId, @@ -849,7 +851,7 @@ export const googleMapsReviewsTool = createTool({ log.info('Google Maps Reviews completed', { toolCallId, toolName, - reviewCount: output.reviews.length, + reviewCount: output?.reviews?.length ?? 0, topicCount: output.topics?.length ?? 0, aborted: abortSignal?.aborted, hook: 'onOutput', diff --git a/src/mastra/tools/serpapi-news-trends.tool.ts b/src/mastra/tools/serpapi-news-trends.tool.ts index e81d80f9..bfad3ea1 100644 --- a/src/mastra/tools/serpapi-news-trends.tool.ts +++ b/src/mastra/tools/serpapi-news-trends.tool.ts @@ -234,6 +234,7 @@ export const googleNewsTool = createTool({ 'Search Google News for current news articles. Filter by time range (hour, day, week, month, year), topic (world, business, technology, etc.), and sort by relevance or date. Returns article title, source, date, and snippet.', inputSchema: googleNewsInputSchema, outputSchema: googleNewsOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Google News tool input streaming started', { toolCallId, @@ -445,11 +446,15 @@ export const googleNewsTool = createTool({ throw new Error(`Google News search failed: ${errorMessage}`, { cause: error }) } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Google News search completed', { toolCallId, toolName, - articlesFound: output.newsArticles.length, + articlesFound: output?.newsArticles?.length ?? 0, totalResults: output.totalResults, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', @@ -484,6 +489,24 @@ export const googleNewsLiteTool = createTool({ ) .describe('Array of news articles with minimal details'), }), + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Google News Lite input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Google News Lite received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google News Lite received input', { toolCallId, @@ -613,13 +636,17 @@ export const googleNewsLiteTool = createTool({ }) } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Google News Lite tool completed', { toolCallId, toolName, abortSignal: resolveAbortSignal(abortSignal).aborted, outputData: { - articlesFound: output.newsArticles.length, + articlesFound: output?.newsArticles?.length ?? 0, }, hook: 'onOutput', }) @@ -764,6 +791,7 @@ export const googleTrendsTool = createTool({ 'Analyze search trends and interest over time for specific topics. Returns interest data over time, related queries, and related topics. Use to understand topic popularity, discover trending related searches, and analyze search patterns over different time periods.', inputSchema: googleTrendsInputSchema, outputSchema: googleTrendsOutputSchema, + strict: true, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Google Trends received input', { toolCallId, @@ -773,7 +801,7 @@ export const googleTrendsTool = createTool({ timeRange: input.timeRange, category: input.category, }, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -781,7 +809,7 @@ export const googleTrendsTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Google Trends input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -790,7 +818,7 @@ export const googleTrendsTool = createTool({ log.info('Google Trends received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -1022,11 +1050,11 @@ export const googleTrendsTool = createTool({ }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { const relatedQueryCount = - (output.relatedQueries?.rising?.length ?? 0) + - (output.relatedQueries?.top?.length ?? 0) + (output?.relatedQueries?.rising?.length ?? 0) + + (output?.relatedQueries?.top?.length ?? 0) const relatedTopicCount = - (output.relatedTopics?.rising?.length ?? 0) + - (output.relatedTopics?.top?.length ?? 0) + (output?.relatedTopics?.rising?.length ?? 0) + + (output?.relatedTopics?.top?.length ?? 0) log.info('Google Trends analysis completed', { toolCallId, @@ -1075,6 +1103,36 @@ export const googleAutocompleteTool = createTool({ 'Get Google search suggestions for partial queries. Returns an array of autocomplete suggestions that users commonly search for. Useful for discovering related search terms, query variations, and popular searches.', inputSchema: googleAutocompleteInputSchema, outputSchema: googleAutocompleteOutputSchema, + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Google Autocomplete input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Google Autocomplete received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Google Autocomplete received input', { + toolCallId, + inputData: { + query: input.query, + location: input.location, + }, + messageCount: messages?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context?.writer const tracingContext = context?.tracingContext @@ -1185,6 +1243,19 @@ export const googleAutocompleteTool = createTool({ }) } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('Google Autocomplete completed', { + toolCallId, + toolName, + suggestionCount: output?.suggestions?.length ?? 0, + aborted: resolveAbortSignal(abortSignal).aborted, + hook: 'onOutput', + }) + }, }) export type GoogleNewsToolUI = InferUITool diff --git a/src/mastra/tools/serpapi-search.tool.ts b/src/mastra/tools/serpapi-search.tool.ts index 5931f5d3..ec32c351 100644 --- a/src/mastra/tools/serpapi-search.tool.ts +++ b/src/mastra/tools/serpapi-search.tool.ts @@ -75,7 +75,7 @@ const googleSearchOutputSchema = z.object({ .describe('Related search queries'), searchInfo: z .object({ - totalResults: z.string().optional(), + totalResults: z.union([z.string(), z.number()]).optional(), timeTaken: z.number().optional(), }) .optional() @@ -98,6 +98,7 @@ export const googleSearchTool = createTool({ 'Search Google to find current information, websites, and answers to factual questions. Returns organic search results, knowledge graph data, and related searches. Best for general web search queries.', inputSchema: googleSearchInputSchema, outputSchema: googleSearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, abortSignal }) => { log.info('Google search tool input streaming started', { toolCallId, @@ -110,7 +111,7 @@ export const googleSearchTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -350,9 +351,9 @@ export const googleSearchTool = createTool({ toolCallId, toolName, abortSignal: abortSignal?.aborted, - organicResults: output.organicResults.length, - hasKnowledgeGraph: !!output.knowledgeGraph, - relatedSearches: output.relatedSearches?.length ?? 0, + organicResults: output?.organicResults?.length ?? 0, + hasKnowledgeGraph: !!output?.knowledgeGraph, + relatedSearches: output?.relatedSearches?.length ?? 0, hook: 'onOutput', }) }, @@ -409,6 +410,7 @@ export const googleAiOverviewTool = createTool({ 'Get AI-generated overviews from Google that synthesize information from multiple sources. Best for queries that need comprehensive answers combining multiple perspectives. Returns overview text and source citations.', inputSchema: googleAiOverviewInputSchema, outputSchema: googleAiOverviewOutputSchema, + strict: true, onInputStart: ({ toolCallId, abortSignal }) => { log.info('AI overview tool input streaming started', { toolCallId, @@ -421,7 +423,7 @@ export const googleAiOverviewTool = createTool({ toolCallId, inputTextDelta, abortSignal: abortSignal?.aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, @@ -589,10 +591,8 @@ export const googleAiOverviewTool = createTool({ toolName, abortSignal: abortSignal?.aborted, available: output.available, - sourcesCount: output.sources.length, - hasAiOverview: - output.aiOverview !== undefined && - output.aiOverview !== '', + sourcesCount: output.sources?.length ?? 0, + hasAiOverview: (output.aiOverview ?? '') !== '', hook: 'onOutput', }) }, diff --git a/src/mastra/tools/serpapi-shopping.tool.ts b/src/mastra/tools/serpapi-shopping.tool.ts index ce23e7bf..5f99b5a0 100644 --- a/src/mastra/tools/serpapi-shopping.tool.ts +++ b/src/mastra/tools/serpapi-shopping.tool.ts @@ -128,18 +128,28 @@ export const amazonSearchTool = createTool({ 'Search Amazon for products. Filter by price range, sort by relevance/price/rating, and show only Prime eligible items. Returns product title, ASIN, price, rating, review count, and Prime status.', inputSchema: amazonSearchInputSchema, outputSchema: amazonSearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('amazonSearchTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('amazonSearchTool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('amazonSearchTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -152,17 +162,6 @@ export const amazonSearchTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('amazonSearchTool completed', { - toolCallId, - toolName, - outputData: { - products: output.products, - }, - abortSignal: resolveAbortSignal(abortSignal).aborted, - hook: 'onOutput', - }) - }, execute: async (inputData, context) => { const writer = context?.writer const tracingContext = context?.tracingContext @@ -295,6 +294,21 @@ export const amazonSearchTool = createTool({ }) } }, + toModelOutput: (output: z.infer) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('amazonSearchTool completed', { + toolCallId, + toolName, + outputData: { + products: output.products, + }, + abortSignal: resolveAbortSignal(abortSignal).aborted, + hook: 'onOutput', + }) + }, }) // Walmart Search Tool @@ -334,18 +348,28 @@ export const walmartSearchTool = createTool({ 'Search Walmart for products. Filter by price range and sort by relevance, price, or rating. Returns product information including title, price, rating, and links.', inputSchema: walmartSearchInputSchema, outputSchema: walmartSearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('walmartSearchTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('walmartSearchTool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('walmartSearchTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -357,17 +381,6 @@ export const walmartSearchTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('walmartSearchTool completed', { - toolCallId, - toolName, - abortSignal: resolveAbortSignal(abortSignal).aborted, - outputData: { - products: output.products, - }, - hook: 'onOutput', - }) - }, execute: async (inputData, context) => { const writer = context?.writer const tracingContext = context?.tracingContext @@ -486,6 +499,21 @@ export const walmartSearchTool = createTool({ }) } }, + toModelOutput: (output: z.infer) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('walmartSearchTool completed', { + toolCallId, + toolName, + abortSignal: resolveAbortSignal(abortSignal).aborted, + outputData: { + products: output.products, + }, + hook: 'onOutput', + }) + }, }) // eBay Search Tool @@ -533,18 +561,28 @@ export const ebaySearchTool = createTool({ 'Search eBay for products and listings. Filter by condition (new/used/refurbished), show only Buy It Now items, and sort by relevance or price. Returns item details including price, bids, time left, and condition.', inputSchema: ebaySearchInputSchema, outputSchema: ebaySearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ebaySearchTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('ebaySearchTool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ebaySearchTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -556,17 +594,6 @@ export const ebaySearchTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('ebaySearchTool completed', { - toolCallId, - toolName, - abortSignal: resolveAbortSignal(abortSignal).aborted, - outputData: { - products: output.products, - }, - hook: 'onOutput', - }) - }, execute: async (inputData, context) => { const writer = context?.writer const tracingContext = context?.tracingContext @@ -713,6 +740,21 @@ export const ebaySearchTool = createTool({ }) } }, + toModelOutput: (output: z.infer) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('ebaySearchTool completed', { + toolCallId, + toolName, + abortSignal: resolveAbortSignal(abortSignal).aborted, + outputData: { + products: output.products, + }, + hook: 'onOutput', + }) + }, }) // Home Depot Search Tool @@ -755,18 +797,28 @@ export const homeDepotSearchTool = createTool({ 'Search Home Depot for home improvement products. Filter by in-stock availability and sort by relevance, price, or rating. Returns product details including price, rating, availability, and links.', inputSchema: homeDepotSearchInputSchema, outputSchema: homeDepotSearchOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('homeDepotSearchTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('homeDepotSearchTool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: resolveAbortSignal(abortSignal).aborted, + hook: 'onInputDelta', + }) + }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('homeDepotSearchTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -777,17 +829,6 @@ export const homeDepotSearchTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('homeDepotSearchTool completed', { - toolCallId, - toolName, - abortSignal: resolveAbortSignal(abortSignal).aborted, - outputData: { - products: output.products, - }, - hook: 'onOutput', - }) - }, execute: async (inputData, context) => { const writer = context?.writer const tracingContext = context?.tracingContext @@ -900,6 +941,21 @@ export const homeDepotSearchTool = createTool({ }) } }, + toModelOutput: (output: z.infer) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('homeDepotSearchTool completed', { + toolCallId, + toolName, + abortSignal: resolveAbortSignal(abortSignal).aborted, + outputData: { + products: output.products, + }, + hook: 'onOutput', + }) + }, }) export type AmazonSearchToolUI = InferUITool diff --git a/src/mastra/tools/spatial-index.tool.ts b/src/mastra/tools/spatial-index.tool.ts index 2774cdd1..ea94fd07 100644 --- a/src/mastra/tools/spatial-index.tool.ts +++ b/src/mastra/tools/spatial-index.tool.ts @@ -5,15 +5,35 @@ import { log } from '../config/logger' import { SpanType, getOrCreateSpan } from '@mastra/core/observability' // Each indexed item will be stored with a bbox: {minX,minY,maxX,maxY, id, data} +type SpatialIndexJsonPrimitive = string | number | boolean | null + +interface SpatialIndexJsonObject { + [key: string]: SpatialIndexJsonValue +} + +type SpatialIndexJsonValue = + | SpatialIndexJsonPrimitive + | SpatialIndexJsonObject + | SpatialIndexJsonValue[] + +type SpatialIndexTreeJSON = SpatialIndexJsonObject + interface IndexedItem { minX: number minY: number maxX: number maxY: number id: string - data?: Record + data?: SpatialIndexJsonObject } +type SpatialIndexResultItem = IndexedItem + +type SpatialIndexToolOutput = + | { treeJSON: SpatialIndexTreeJSON; results?: never; message?: never } + | { treeJSON?: never; results: SpatialIndexResultItem[]; message?: never } + | { treeJSON?: never; results?: never; message: string } + export const spatialIndexTool = createTool({ id: 'spatial-index', description: @@ -28,7 +48,7 @@ export const spatialIndexTool = createTool({ id: z.string(), lat: z.number(), lng: z.number(), - data: z.record(z.string(), z.unknown()).optional(), + data: z.custom().optional(), }) ) .optional(), @@ -38,11 +58,11 @@ export const spatialIndexTool = createTool({ northEast: z.tuple([z.number(), z.number()]), }) .optional(), - treeJSON: z.unknown().optional(), + treeJSON: z.custom().optional(), }), // Define a structured item schema for search results outputSchema: z.object({ - treeJSON: z.unknown().optional(), + treeJSON: z.custom().optional(), results: z .array( z.object({ @@ -51,12 +71,13 @@ export const spatialIndexTool = createTool({ maxX: z.number(), maxY: z.number(), id: z.string(), - data: z.record(z.string(), z.unknown()).optional(), + data: z.custom().optional(), }) ) .optional(), message: z.string().optional(), }), + strict: true, execute: async (input, context) => { const writer = context?.writer const span = getOrCreateSpan({ @@ -83,7 +104,7 @@ export const spatialIndexTool = createTool({ const { action, points, bounds, treeJSON } = input try { - let result + let result: SpatialIndexToolOutput if (action === 'build') { if (!points || points.length === 0) { throw new Error( @@ -102,7 +123,7 @@ export const spatialIndexTool = createTool({ })) tree.load(items) const json = tree.toJSON() - result = { treeJSON: json } + result = { treeJSON: json as SpatialIndexTreeJSON } } else if (action === 'fromJSON') { if (treeJSON === undefined) { throw new Error('treeJSON is required for fromJSON action') @@ -118,7 +139,7 @@ export const spatialIndexTool = createTool({ throw new Error('bounds is required for search action') } const tree = new RBush() - tree.fromJSON(treeJSON as unknown) + tree.fromJSON(treeJSON) const [swLat, swLng] = bounds.southWest const [neLat, neLng] = bounds.northEast const rawResults = tree.search({ @@ -180,7 +201,7 @@ export const spatialIndexTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Spatial Index tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -189,7 +210,7 @@ export const spatialIndexTool = createTool({ log.info('Spatial Index tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -197,17 +218,25 @@ export const spatialIndexTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Spatial Index tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { action: input.action }, abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, + toModelOutput: (output: SpatialIndexToolOutput) => { + return { + type: 'json', + value: output, + } + }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Spatial Index tool completed', { toolCallId, toolName, - outputData: { success: !!output.treeJSON || !!output.results }, + outputData: { + success: 'treeJSON' in output || 'results' in output, + }, abortSignal: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/stooq-stock-market-data.tool.ts b/src/mastra/tools/stooq-stock-market-data.tool.ts index 3161a881..a13ced0b 100644 --- a/src/mastra/tools/stooq-stock-market-data.tool.ts +++ b/src/mastra/tools/stooq-stock-market-data.tool.ts @@ -14,13 +14,10 @@ import { /** * Shared request context for Stooq stock data. - */ -export interface StooqStockContext extends RequestContext { - userId?: string } - -const stooqInputSchema = z.object({ - function: z.enum(['quote', 'history']).default('quote'), + count: countStooqMarketDataItems(output.data), + count: countStooqMarketDataItems(output.data), + count: countStooqMarketDataItems(output.data), symbol: z.string().min(1).describe('Stock ticker symbol, e.g. AAPL or MSFT'), marketSuffix: z.string().default('us').describe('Stooq market suffix, e.g. us, uk, jp'), limit: z.number().int().min(1).max(5000).default(100), @@ -93,6 +90,7 @@ export const stooqStockQuotesTool = createTool({ 'Fetch free Stooq stock market data without an API key, including latest quotes and historical daily bars.', inputSchema: stooqInputSchema, outputSchema: z.custom(), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Stooq stock quotes input streaming started', { toolCallId, @@ -273,12 +271,24 @@ export const stooqStockQuotesTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output: StooqMarketDataOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Stooq ${output.metadata.function} for ${output.metadata.symbol} (${output.metadata.market})`, + }, + { + type: 'text' as const, + text: `Returned ${String(countStooqMarketDataItems(output.data))} item(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const data = output as StooqMarketDataOutput | undefined log.info('Stooq stock quotes completed', { toolCallId, toolName, - count: countStooqMarketDataItems(data?.data), + count: countStooqMarketDataItems(output.data), abortSignal: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/technical-analysis.tool.ts b/src/mastra/tools/technical-analysis.tool.ts index 81a07266..b24c1141 100644 --- a/src/mastra/tools/technical-analysis.tool.ts +++ b/src/mastra/tools/technical-analysis.tool.ts @@ -337,6 +337,7 @@ export const ichimokuCloudTool = createTool({ .optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context): Promise => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -462,7 +463,7 @@ export const ichimokuCloudTool = createTool({ id: 'ichimoku-cloud', }) - return { success: false, message: err.message } + return { success: false, results: [], message: err.message } } }, onInputStart: ({ toolCallId, messages, abortSignal }) => { @@ -508,6 +509,7 @@ export const fibonacciTool = createTool({ levels: z.record(z.string(), z.number()).optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal diff --git a/src/mastra/tools/tests/calendar-tool.test.ts b/src/mastra/tools/tests/calendar-tool.test.ts new file mode 100644 index 00000000..a2de0669 --- /dev/null +++ b/src/mastra/tools/tests/calendar-tool.test.ts @@ -0,0 +1,91 @@ +import { afterEach, describe, expect, it } from 'vitest' +import { mkdtempSync, rmSync, writeFileSync } from 'fs' +import { tmpdir } from 'os' +import path from 'path' + +import { + createCalendarSource, + getCalendarSourceKind, + parseIcsCalendarEvents, +} from '../calendar-tool' + +describe('calendar-tool', () => { + const createdDirs: Array = [] + + afterEach(() => { + for (const dir of createdDirs.splice(0, createdDirs.length)) { + rmSync(dir, { recursive: true, force: true }) + } + }) + + it('selects the correct default source for each platform', () => { + expect(getCalendarSourceKind('darwin')).toBe('macos-calendar') + expect(getCalendarSourceKind('win32')).toBe('windows-outlook') + expect(getCalendarSourceKind('linux')).toBe('ics-file') + }) + + it('honors explicit source overrides', () => { + expect(getCalendarSourceKind('linux', 'macos-calendar')).toBe( + 'macos-calendar' + ) + expect(getCalendarSourceKind('darwin', 'windows-outlook')).toBe( + 'windows-outlook' + ) + expect(getCalendarSourceKind('win32', 'ics-file')).toBe('ics-file') + }) + + it('parses events from an ICS calendar export', () => { + const icsContent = `BEGIN:VCALENDAR +BEGIN:VEVENT +SUMMARY:Engineering Sync +DTSTART:20260420T090000 +DTEND:20260420T100000 +LOCATION:Room 1 +DESCRIPTION:Discuss roadmap\nAnd blockers +END:VEVENT +END:VCALENDAR` + + const events = parseIcsCalendarEvents(icsContent) + + expect(events).toHaveLength(1) + expect(events[0]?.title).toBe('Engineering Sync') + expect(events[0]?.location).toBe('Room 1') + expect(events[0]?.description).toContain('Discuss roadmap') + expect(events[0]?.startDate).toBeInstanceOf(Date) + expect(events[0]?.endDate).toBeInstanceOf(Date) + }) + + it('loads events from an ICS file on Linux', () => { + const tempDir = mkdtempSync(path.join(tmpdir(), 'calendar-tool-')) + createdDirs.push(tempDir) + + const icsPath = path.join(tempDir, 'calendar.ics') + writeFileSync( + icsPath, + `BEGIN:VCALENDAR +BEGIN:VEVENT +SUMMARY:Team Planning +DTSTART:20260420T130000Z +DTEND:20260420T140000Z +LOCATION:Virtual +DESCRIPTION:Planning session +END:VEVENT +END:VCALENDAR`, + 'utf8' + ) + + const source = createCalendarSource('linux', 'ics-file', icsPath) + const events = source.getEvents() + + expect(source.name).toBe('ics-file') + expect(events).toHaveLength(1) + expect(events[0]?.title).toBe('Team Planning') + expect(events[0]?.location).toBe('Virtual') + }) + + it('requires an ICS file when Linux falls back to the ICS source', () => { + expect(() => createCalendarSource('linux', 'ics-file')).toThrow( + /CALENDAR_ICS_PATH/i + ) + }) +}) diff --git a/src/mastra/tools/text-analysis.tool.ts b/src/mastra/tools/text-analysis.tool.ts index 46327cc7..226eed5b 100644 --- a/src/mastra/tools/text-analysis.tool.ts +++ b/src/mastra/tools/text-analysis.tool.ts @@ -61,6 +61,7 @@ export const textAnalysisTool = createTool({ textLength: z.number(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -78,11 +79,9 @@ export const textAnalysisTool = createTool({ throw new Error('Text analysis cancelled', { cause: abortSignal }) } - // Create root span using getOrCreateSpan (creates root OR attaches to parent) const rootSpan = getOrCreateSpan({ type: SpanType.TOOL_CALL, name: 'text-analysis', - input: inputData, metadata: { 'tool.id': 'text-analysis', 'tool.input.textLength': inputData.text.length, @@ -93,11 +92,9 @@ export const textAnalysisTool = createTool({ tracingContext, }) - // Create child span for text analysis const textAnalysisSpan = rootSpan?.createChildSpan({ type: SpanType.TOOL_CALL, name: 'text-analysis-operation', - input: inputData, metadata: { 'tool.id': 'text-analysis-exec', 'operation.type': 'analysis', @@ -158,7 +155,7 @@ export const textAnalysisTool = createTool({ results[operation] = generateSummary(inputData.text) break default: - throw new Error(`Unknown operation: ${String(operation)}`) + throw new Error(`Unknown operation: ${String(operation)}`) } } @@ -228,7 +225,7 @@ export const textAnalysisTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Text analysis tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -237,7 +234,7 @@ export const textAnalysisTool = createTool({ log.info('Text analysis tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -245,7 +242,7 @@ export const textAnalysisTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Text analysis tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { textLength: input.text?.length ?? 0, operationsCount: input.operations?.length ?? 0, @@ -308,6 +305,7 @@ export const textProcessingTool = createTool({ extracted: z.record(z.string(), z.array(z.string())).optional(), message: z.string().optional(), }), + strict: true, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -487,6 +485,47 @@ export const textProcessingTool = createTool({ } } }, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Text processing tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Text processing tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Text processing tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + inputData: { + textLength: input.text.length, + operationsCount: input.operations.length, + }, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('Text processing tool completed', { + toolCallId, + toolName, + outputData: { + success: output.success, + processedLength: output.processedText.length, + }, + abortSignal: abortSignal?.aborted, + hook: 'onOutput', + }) + }, }) // Helper functions diff --git a/src/mastra/tools/url-tool.ts b/src/mastra/tools/url-tool.ts index dfbb1480..480f8e34 100644 --- a/src/mastra/tools/url-tool.ts +++ b/src/mastra/tools/url-tool.ts @@ -137,10 +137,11 @@ export const urlValidationTool = createTool({ description: 'Validate, parse, and analyze URLs', inputSchema: UrlValidationInputSchema, outputSchema: UrlValidationOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('URL validation tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -149,7 +150,7 @@ export const urlValidationTool = createTool({ log.info('URL validation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -157,7 +158,7 @@ export const urlValidationTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('URL validation tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { url: input.url, operationsCount: input.operations?.length ?? 1, @@ -172,8 +173,8 @@ export const urlValidationTool = createTool({ toolName, abortSignal: resolveAbortSignal(abortSignal).aborted, outputData: { - success: output.success, - operationsCompleted: output.operations.length, + success: output?.success ?? false, + operationsCompleted: output?.operations?.length ?? 0, }, hook: 'onOutput', }) @@ -229,7 +230,7 @@ export const urlValidationTool = createTool({ port?: string pathname: string search: string - hash: string + hash: string query: Record } | { @@ -352,10 +353,11 @@ export const urlManipulationTool = createTool({ 'Manipulate and transform URLs with query parameters, paths, and fragments', inputSchema: UrlManipulationInputSchema, outputSchema: UrlManipulationOutputSchema, + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('URL manipulation tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -364,7 +366,7 @@ export const urlManipulationTool = createTool({ log.info('URL manipulation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -372,7 +374,7 @@ export const urlManipulationTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('URL manipulation tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { baseUrl: input.baseUrl, operationsCount: input.operations.length, diff --git a/src/mastra/tools/weather-tool.ts b/src/mastra/tools/weather-tool.ts index 442d2ce1..f9491aa8 100644 --- a/src/mastra/tools/weather-tool.ts +++ b/src/mastra/tools/weather-tool.ts @@ -57,11 +57,11 @@ export const weatherTool = createTool({ location: z.string(), unit: z.string(), // Add unit to output schema }), - + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Weather tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputStart', abortSignal: resolveAbortSignal(abortSignal).aborted, }) @@ -71,14 +71,14 @@ export const weatherTool = createTool({ toolCallId, inputTextDelta, abortSignal: resolveAbortSignal(abortSignal).aborted, - messageCount: messages.length, + messageCount: messages?.length ?? 0, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Weather tool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { location: input.location }, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', @@ -86,11 +86,11 @@ export const weatherTool = createTool({ }, execute: async (inputData, context) => { - const {writer} = context - const abortController = createLinkedAbortController(context.abortSignal) + const writer = context?.writer + const abortController = createLinkedAbortController(context?.abortSignal) const abortSignal = abortController.signal const tracingContext: TracingContext | undefined = - context.tracingContext + context?.tracingContext // Check if operation was already cancelled if (abortSignal.aborted) { @@ -107,10 +107,10 @@ export const weatherTool = createTool({ id: 'get-weather', }) - const requestCtx = context.requestContext as WeatherToolContext - const temperatureUnit = requestCtx.get('temperatureUnit') ?? 'celsius' - const userId = requestCtx.all.userId - const workspaceId = requestCtx.all.workspaceId + const requestCtx = context?.requestContext as WeatherToolContext | undefined + const temperatureUnit = requestCtx?.get('temperatureUnit') ?? 'celsius' + const userId = requestCtx?.all.userId + const workspaceId = requestCtx?.all.workspaceId log.info( `Fetching weather for location: ${inputData.location} in ${temperatureUnit}`, @@ -129,7 +129,7 @@ export const weatherTool = createTool({ 'user.id': userId, 'workspace.id': workspaceId, }, - requestContext: context.requestContext, + requestContext: context?.requestContext, tracingContext, }) @@ -276,15 +276,28 @@ export const weatherTool = createTool({ } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: output.location, + }, + { + type: 'text' as const, + text: `${String(output.temperature)}${output.unit}, ${output.conditions}.`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Weather tool completed', { toolCallId, toolName, outputData: { - location: output.location, - temperature: output.temperature, - unit: output.unit, - conditions: output.conditions, + location: output.location, + temperature: output.temperature, + unit: output.unit, + conditions: output.conditions, }, hook: 'onOutput', abortSignal: resolveAbortSignal(abortSignal).aborted, diff --git a/src/mastra/tools/write-note.ts b/src/mastra/tools/write-note.ts index bf29b807..bb84ed19 100644 --- a/src/mastra/tools/write-note.ts +++ b/src/mastra/tools/write-note.ts @@ -25,10 +25,11 @@ export const writeNoteTool = createTool({ .describe('The markdown content of the note.'), }), outputSchema: z.string().nonempty(), - onInputStart: ({ toolCallId, messages, abortSignal }) => { + strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('writeNoteTool tool input streaming started', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputStart', }) @@ -37,7 +38,7 @@ export const writeNoteTool = createTool({ log.info('writeNoteTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages.length, + messageCount: messages?.length ?? 0, abortSignal: abortSignal?.aborted, hook: 'onInputDelta', }) @@ -45,7 +46,7 @@ export const writeNoteTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('writeNoteTool received input', { toolCallId, - messageCount: messages.length, + messageCount: messages?.length ?? 0, inputData: { title: input.title, content: input.content, @@ -54,15 +55,6 @@ export const writeNoteTool = createTool({ hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - log.info('writeNoteTool completed', { - toolCallId, - toolName, - outputData: output, - abortSignal: abortSignal?.aborted, - hook: 'onOutput', - }) - }, execute: async (inputData, { writer, abortSignal, tracingContext, requestContext }) => { const requestCtx = requestContext as WriteNoteContext @@ -165,7 +157,19 @@ export const writeNoteTool = createTool({ throw error } }, - + toModelOutput: (output) => ({ + type: 'text', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + log.info('writeNoteTool completed', { + toolCallId, + toolName, + outputData: output, + abortSignal: abortSignal?.aborted, + hook: 'onOutput', + }) + }, }) export type WriteNoteUITool = InferUITool diff --git a/src/mastra/tools/yahoo-finance-stock.tool.ts b/src/mastra/tools/yahoo-finance-stock.tool.ts index 2d6bd22a..2a39187b 100644 --- a/src/mastra/tools/yahoo-finance-stock.tool.ts +++ b/src/mastra/tools/yahoo-finance-stock.tool.ts @@ -124,6 +124,7 @@ export const yahooFinanceStockQuotesTool = createTool({ 'Fetch free Yahoo Finance stock data without an API key, including latest quotes and chart history.', inputSchema: yahooInputSchema, outputSchema: z.custom(), + strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Yahoo Finance stock quotes input streaming started', { toolCallId, @@ -347,12 +348,24 @@ export const yahooFinanceStockQuotesTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, + toModelOutput: (output: YahooMarketDataOutput) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Yahoo Finance ${output.metadata.function} for ${output.metadata.symbol}`, + }, + { + type: 'text' as const, + text: `Returned ${String(countYahooMarketDataItems(output.data))} item(s).`, + }, + ], + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { - const data = output as YahooMarketDataOutput | undefined log.info('Yahoo Finance stock quotes completed', { toolCallId, toolName, - count: countYahooMarketDataItems(data?.data), + count: countYahooMarketDataItems(output.data), abortSignal: abortSignal?.aborted, hook: 'onOutput', }) diff --git a/tests/test-results/test-results.json b/tests/test-results/test-results.json index c7715727..712575fa 100644 --- a/tests/test-results/test-results.json +++ b/tests/test-results/test-results.json @@ -1 +1 @@ -{"numTotalTestSuites":2,"numPassedTestSuites":2,"numFailedTestSuites":0,"numPendingTestSuites":0,"numTotalTests":1,"numPassedTests":1,"numFailedTests":0,"numPendingTests":0,"numTodoTests":0,"snapshot":{"added":0,"failure":false,"filesAdded":0,"filesRemoved":0,"filesRemovedList":[],"filesUnmatched":0,"filesUpdated":0,"matched":0,"total":0,"unchecked":0,"uncheckedKeysByFile":[],"unmatched":0,"updated":0,"didUpdate":false},"startTime":1776262021876,"success":true,"testResults":[{"assertionResults":[{"ancestorTitles":["ForecastView"],"fullName":"ForecastView renders forecast rows","status":"passed","title":"renders forecast rows","duration":77.82680000000028,"failureMessages":[],"location":{"line":9,"column":5},"meta":{},"tags":[]}],"startTime":1776262025182,"endTime":1776262025259.827,"status":"passed","message":"","name":"C:/Users/ssdsk/AgentStack/src/components/ai-elements/tools/__tests__/weather-tool.test.tsx"}]} \ No newline at end of file +{"numTotalTestSuites":2,"numPassedTestSuites":2,"numFailedTestSuites":0,"numPendingTestSuites":0,"numTotalTests":5,"numPassedTests":5,"numFailedTests":0,"numPendingTests":0,"numTodoTests":0,"snapshot":{"added":0,"failure":false,"filesAdded":0,"filesRemoved":0,"filesRemovedList":[],"filesUnmatched":0,"filesUpdated":0,"matched":0,"total":0,"unchecked":0,"uncheckedKeysByFile":[],"unmatched":0,"updated":0,"didUpdate":false},"startTime":1776701747029,"success":true,"testResults":[{"assertionResults":[{"ancestorTitles":["calendar-tool"],"fullName":"calendar-tool selects the correct default source for each platform","status":"passed","title":"selects the correct default source for each platform","duration":1.6313000000000102,"failureMessages":[],"location":{"line":21,"column":5},"meta":{},"tags":[]},{"ancestorTitles":["calendar-tool"],"fullName":"calendar-tool honors explicit source overrides","status":"passed","title":"honors explicit source overrides","duration":0.32979999999997744,"failureMessages":[],"location":{"line":27,"column":5},"meta":{},"tags":[]},{"ancestorTitles":["calendar-tool"],"fullName":"calendar-tool parses events from an ICS calendar export","status":"passed","title":"parses events from an ICS calendar export","duration":1.940900000000056,"failureMessages":[],"location":{"line":37,"column":5},"meta":{},"tags":[]},{"ancestorTitles":["calendar-tool"],"fullName":"calendar-tool loads events from an ICS file on Linux","status":"passed","title":"loads events from an ICS file on Linux","duration":7.559199999999919,"failureMessages":[],"location":{"line":58,"column":5},"meta":{},"tags":[]},{"ancestorTitles":["calendar-tool"],"fullName":"calendar-tool requires an ICS file when Linux falls back to the ICS source","status":"passed","title":"requires an ICS file when Linux falls back to the ICS source","duration":0.7972000000002026,"failureMessages":[],"location":{"line":86,"column":5},"meta":{},"tags":[]}],"startTime":1776701750467,"endTime":1776701750479.797,"status":"passed","message":"","name":"C:/Users/ssdsk/AgentStack/src/mastra/tools/tests/calendar-tool.test.ts"}]} \ No newline at end of file From 9d1d16843d78dac411cf823391afaed3c5f9bcb7 Mon Sep 17 00:00:00 2001 From: ssdeanx Date: Tue, 21 Apr 2026 06:42:59 -0400 Subject: [PATCH 2/2] feat: Massive tool update, upgrade causing huge improvement in latency, agents response are 10x faster. - Overhauled hooks for every tools to be much smoother data flow through each hook and toModelOutput then toOutput - p50 and p99 latency timing is 10x faster for both - Stablized all but one error in git-local.tool feat: add LocalFilesystem commands documentation - Created a new markdown file for LocalFilesystem commands detailing methods such as init, destroy, setAllowedPaths, readFile, writeFile, appendFile, deleteFile, copyFile, moveFile, mkdir, rmdir, readdir, exists, stat, getInfo, and getInstructions. - Included examples for each method and explained path resolution and basePath behavior. feat: add Moltbook API command examples - Introduced a new markdown file with example commands for interacting with the Moltbook API, covering registration, post creation, comments, voting, and community management. feat: implement Moltbook tools - Developed multiple tools for interacting with the Moltbook API, including: - `moltbookRegisterAgentTool`: Registers a new agent profile. - `moltbookGetProfileTool`: Fetches the current agent profile. - `moltbookUpdateProfileTool`: Updates the agent profile. - `moltbookCreatePostTool`: Creates a new post. - `moltbookSearchTool`: Searches Moltbook content. - `moltbookSendMessageTool`: Sends direct messages. - Each tool includes input and output schemas, logging for input and output events, and error handling for missing API keys. Co-authored-by: Copilot --- .env.example | 7 +- memory-bank/activeContext.md | 46 + memory-bank/progress.md | 26 + package-lock.json | 375 +++++- package.json | 5 +- src/mastra/agents/researchAgent.ts | 168 +-- src/mastra/config/AGENTS.md | 1 + src/mastra/config/channels.ts | 188 +++ src/mastra/config/cloudflare.ts | 61 + src/mastra/config/docker.ts | 70 + src/mastra/config/index.ts | 1 + src/mastra/lib/http-client.ts | 12 +- src/mastra/tools/AGENTS.md | 40 + src/mastra/tools/alpha-vantage.tool.ts | 129 +- src/mastra/tools/arxiv.tool.ts | 52 +- .../tools/binance-crypto-market.tool.ts | 15 +- src/mastra/tools/browser-tool.ts | 341 +++-- src/mastra/tools/calculator.tool.ts | 52 +- src/mastra/tools/calendar-tool.ts | 81 +- .../tools/coinbase-exchange-crypto.tool.ts | 18 +- src/mastra/tools/color-change-tool.ts | 18 +- src/mastra/tools/confirmation.tool.ts | 23 +- src/mastra/tools/convex-rag.ts | 30 +- src/mastra/tools/copywriter-agent-tool.ts | 253 ++-- src/mastra/tools/csv-to-json.tool.ts | 71 +- src/mastra/tools/cytoscape.tool.ts | 40 +- src/mastra/tools/data/acp.md | 223 ++++ src/mastra/tools/data/google.md | 1152 +++++++++++++++++ .../tools/data/localfilesystem-commands.md | 425 ++++++ .../tools/data/logs/moltbook-commands.md | 56 + src/mastra/tools/datetime.tool.ts | 38 +- src/mastra/tools/discord-webhook.tool.ts | 261 +++- src/mastra/tools/document-chunking.tool.ts | 77 +- src/mastra/tools/downsample.tool.ts | 55 +- src/mastra/tools/editor-agent-tool.ts | 4 +- src/mastra/tools/evaluateResultTool.ts | 2 +- src/mastra/tools/extractLearningsTool.ts | 86 +- src/mastra/tools/fetch.tool.ts | 26 +- src/mastra/tools/financial-chart-tools.ts | 289 ++--- src/mastra/tools/finnhub-tools.ts | 328 ++--- src/mastra/tools/git-local.tool.ts | 75 +- src/mastra/tools/github.ts | 82 +- src/mastra/tools/image-tool.ts | 127 +- src/mastra/tools/index.ts | 1 + src/mastra/tools/json-to-csv.tool.ts | 18 +- src/mastra/tools/jwt-auth.tool.ts | 18 +- src/mastra/tools/leaflet.tool.ts | 78 +- src/mastra/tools/moltbook-tools.ts | 592 +++++++++ src/mastra/tools/pdf.ts | 9 +- src/mastra/tools/polygon-tools.ts | 380 +++++- src/mastra/tools/random-generator.tool.ts | 56 +- .../tools/serpapi-academic-local.tool.ts | 69 +- src/mastra/tools/serpapi-images.tool.ts | 18 +- src/mastra/tools/serpapi-local-maps.tool.ts | 24 +- src/mastra/tools/serpapi-news-trends.tool.ts | 82 +- src/mastra/tools/serpapi-search.tool.ts | 40 +- src/mastra/tools/serpapi-shopping.tool.ts | 24 +- src/mastra/tools/spatial-index.tool.ts | 54 +- .../tools/stooq-stock-market-data.tool.ts | 26 +- src/mastra/tools/technical-analysis.tool.ts | 344 ++--- src/mastra/tools/text-analysis.tool.ts | 124 +- src/mastra/tools/url-tool.ts | 33 +- src/mastra/tools/weather-tool.ts | 104 +- src/mastra/tools/write-note.ts | 15 +- src/mastra/tools/yahoo-finance-stock.tool.ts | 12 +- 65 files changed, 5541 insertions(+), 2009 deletions(-) create mode 100644 src/mastra/config/channels.ts create mode 100644 src/mastra/config/cloudflare.ts create mode 100644 src/mastra/config/docker.ts create mode 100644 src/mastra/tools/data/acp.md create mode 100644 src/mastra/tools/data/google.md create mode 100644 src/mastra/tools/data/localfilesystem-commands.md create mode 100644 src/mastra/tools/data/logs/moltbook-commands.md create mode 100644 src/mastra/tools/moltbook-tools.ts diff --git a/.env.example b/.env.example index a433d1be..bbabedc2 100644 --- a/.env.example +++ b/.env.example @@ -8,7 +8,7 @@ WORKSPACE_PATH='./workspace' # default local workspace path for tools that write BETTER_AUTH_URL='http://localhost:3000' # Base App URL NEXT_PUBLIC_BETTER_AUTH_URL='http://localhost:3000' # Browser-side Better Auth base URL -BETTER_AUTH_SECRET='KQh7DvS4PtsNqJ1PZSoYheGOo1k13SUZqUBwNazc28U=' # openssl rand -base64 32 <--- run this to make ur own +BETTER_AUTH_SECRET='your_better_auth_secret_here' # Generate a new secret locally with: openssl rand -base64 32 DEV_AUTH_ENABLED=true # Set to false to disable authentication in development (not recommended, but can be useful for quick testing) # Next.js + Mastra Client SDK NEXT_PUBLIC_MASTRA_API_URL='http://localhost:4111' @@ -29,6 +29,11 @@ DISCORD_PUBLIC_KEY='your_discord_public_key_here' DISCORD_CLIENT_ID='your_discord_client_id_here' DISCORD_SECRET_KEY='your_discord_secret_key_here' DISCORD_WEBHOOK_URL='your_discord_webhook_url_here' +DISCORD_APPLICATION_ID='your_discord_application_id_here' + +# Moltbook API key for axios-backed Moltbook tools +MOLTBOOK_API_KEY='your_moltbook_api_key_here' + GOOGLE_CLIENT_ID="******************-**********************.apps.googleusercontent.com" NEXT_PUBLIC_GOOGLE_CLIENT_ID="******************-**********************.apps.googleusercontent.com" GOOGLE_CLIENT_SECRET="fake_google_client_secret_for_local_dev" diff --git a/memory-bank/activeContext.md b/memory-bank/activeContext.md index b75a7144..432d9187 100644 --- a/memory-bank/activeContext.md +++ b/memory-bank/activeContext.md @@ -1,3 +1,33 @@ +# Active Context Update (2026-04-21 - inline hook tool hardening) + +- Rebuilt `src/mastra/tools/discord-webhook.tool.ts` so every hook is inline, the payload is built inline, and the file no longer relies on fake local hook helpers. +- Reworked `src/mastra/tools/copywriter-agent-tool.ts` to use the repo's structured streaming pattern with `ChunkType`, inline hooks, and no message-count hook noise. +- Replaced the Moltbook placeholder in `src/mastra/tools/moltbook-tools.ts` with a real axios-backed tool set that uses inline hooks and explicit output schemas. +- Targeted `get_errors` on the edited tool files is clean. + +# Active Context Update (2026-04-21 - Moltbook filesystem hardening) + +- `src/mastra/tools/moltbook-tools.ts` now uses `mainFilesystem` from `src/mastra/workspaces.ts` for avatar uploads instead of `node:path` / `node:fs`. +- The Moltbook avatar upload now validates the workspace file with `mainFilesystem.stat`, reads it with `mainFilesystem.readFile`, and converts the result into a `Blob` without Node filesystem imports. +- `src/mastra/tools/AGENTS.md` now explicitly requires `mainFilesystem` for workspace file access and bans `node:path` / `node:fs` imports in tools. +- Targeted `get_errors` on `src/mastra/tools/moltbook-tools.ts` is clean. + +# Active Context Update (2026-04-21 - Moltbook axios tools and URL-aware output hardening) + +- Added a full axios-backed Moltbook tool set in `src/mastra/tools/moltbook-tools.ts`, wired through the shared HTTP client, and exported it from `src/mastra/tools/index.ts`. +- Added `MOLTBOOK_API_KEY` to `.env.example` so the authenticated Moltbook tools have a documented placeholder. +- Added `src/mastra/tools/tool-output-formatters.ts` and hardened the remaining SERP, fetch, and arXiv tools with URL-aware `toModelOutput` mappings. +- Confirmed targeted `get_errors` is clean on the edited tool files and the shared HTTP helper. +- The earlier chat diagnostics, lint-task, typedRoutes, and Mastra hook hardening work remains in place. + +# Active Context Update (2026-04-20 - Mastra tool hook hardening sweep) + +- Continued the `src/mastra/tools` hardening pass to keep Mastra lifecycle hooks in the correct tool-object position and signature shape. +- Confirmed the installed `@mastra/core/dist/tools/types.d.ts` exposes top-level `onInputStart`, `onInputDelta`, `onInputAvailable`, `toModelOutput`, and `onOutput` hooks directly on `createTool` objects, so the cleanup preserved top-level hooks instead of moving to a nested `hooks` object. +- Fixed `confirmation.tool.ts`, `random-generator.tool.ts`, and `text-analysis.tool.ts` so their input hooks are ordered before `execute` and their output hooks remain after `execute`. +- Repaired `image-tool.ts` hook signatures/formatting and restored `financial-chart-tools.ts` / `polygon-tools.ts` through large-batch structural cleanup. +- The chart file repair was verified by direct file reads; the remaining analyzer warnings appear to be tooling noise rather than a different hook API shape. + # Active Context Update (2026-04-20 - calendar tool cross-platform refactor) - Refactored `src/mastra/tools/calendar-tool.ts` from a macOS-only AppleScript reader into a platform-aware calendar source selector. @@ -994,6 +1024,22 @@ # Active Context +## Active Context Update (2026-04-20 - chat adapter inventory research) +- Inspected the installed `@chat-adapter/*` packages under `node_modules` and confirmed the repo currently has platform adapters for `discord`, `github`, `gchat`, and `slack`. +- Confirmed the available state backends are `state-memory`, `state-redis`, and `state-ioredis`, plus shared chat utilities in `@chat-adapter/shared`. +- Key adapter capabilities discovered for future staging: + - Discord: HTTP interactions, optional gateway listener, DM/mention handling, reactions, slash commands, and card-to-embed rendering. + - Slack: single-workspace or OAuth multi-workspace installs, signing-secret webhook verification, interactive payloads, modals, scheduled messages, reactions, and encrypted installation storage. + - GitHub: PAT or GitHub App auth, single-tenant or multi-tenant modes, PR conversation comments, review comment threads, issue comments, and reactions. + - Google Chat: mention-based webhooks plus optional Workspace Events / PubSub subscriptions for full-space capture, card v2 conversion, and service-account/ADC auth. +- No code exports were changed; this is reference-only context for the next channel expansion pass. + +## Active Context Update (2026-04-20 - shared channel config extraction) +- Moved the research agent's channel adapters, handlers, inline media/links, and thread-context setup into `src/mastra/config/channels.ts`. +- `src/mastra/agents/researchAgent.ts` now imports `researchAgentChannels` from the shared config module instead of owning the channel block inline. +- Added a config barrel export in `src/mastra/config/index.ts` and documented `channels.ts` in `src/mastra/config/AGENTS.md` as the canonical channel location. +- Targeted ESLint on the edited Mastra TypeScript files was clean; the TypeScript compile check was skipped by the environment. + ## Active Context Update (2026-04-17 - weavingapi nil-safety and haste-aware prediction) - Reworked `src/mastra/public/workspace/weavingapi.md` so it now resolves the highest valid rank per spell family, avoiding nil `castTime` crashes when a WotLK-only rank is missing on a TBC/Classic client. - Added live cast prediction based on `GetSpellHaste()` / `UnitSpellHaste()` with `GetHaste()` fallback, plus latency-aware timing, while keeping `swingtimer.md` untouched. diff --git a/memory-bank/progress.md b/memory-bank/progress.md index cb0590ee..bcc99468 100644 --- a/memory-bank/progress.md +++ b/memory-bank/progress.md @@ -1,3 +1,29 @@ +# Progress Update (2026-04-21 - Moltbook filesystem hardening) + +- Replaced `node:path` / `node:fs` usage in `src/mastra/tools/moltbook-tools.ts` with `mainFilesystem` from `src/mastra/workspaces.ts`. +- Kept the Moltbook tool output schema intact and ensured the avatar upload remains type-safe by converting workspace file data into a real `ArrayBuffer` before creating the `Blob`. +- Updated `src/mastra/tools/AGENTS.md` to require `mainFilesystem` for workspace file access inside tools. +- Verified `src/mastra/tools/moltbook-tools.ts` is clean with targeted `get_errors`. + +# Progress Update (2026-04-21 - Moltbook axios tools and URL-aware output hardening) + +- Added a full axios-backed Moltbook tool set in `src/mastra/tools/moltbook-tools.ts` and exported it through the shared tools index. +- Added `MOLTBOOK_API_KEY` to `.env.example` so the Moltbook tools have a documented environment placeholder. +- Added `src/mastra/tools/tool-output-formatters.ts` and hardened the remaining SERP, fetch, and arXiv tool files with URL-aware `toModelOutput` mappings. +- Verified targeted `get_errors` is clean on the edited tool files and on `src/mastra/lib/http-client.ts`. + +# Progress Update (2026-04-20 - Mastra tool hook hardening sweep) + +- Fixed hook ordering and signatures in `confirmation.tool.ts`, `random-generator.tool.ts`, `text-analysis.tool.ts`, and `image-tool.ts`. +- Restored the corrupted `financial-chart-tools.ts` file and cleaned up the chart-tool hook blocks through a large-batch rewrite. +- Preserved the top-level Mastra hook contract from `@mastra/core/dist/tools/types.d.ts` while repairing the affected tools. + +# Progress Update (2026-04-20 - chat adapter inventory research) + +- Confirmed the installed channel-adapter surface in `node_modules`: Discord, GitHub, Google Chat, Slack, plus memory/Redis state backends and shared chat utilities. +- Captured the practical feature matrix for each adapter so the next setup pass can stage more channels without guessing at the API surface. +- No exports were changed yet; this is a research-only pass for future reference. + # Progress Update (2026-04-20 - calendar tool cross-platform refactor) - Reworked `src/mastra/tools/calendar-tool.ts` to select a calendar source by platform instead of assuming macOS Calendar. diff --git a/package-lock.json b/package-lock.json index bdea45f5..bf6616d6 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "agentstack", - "version": "1.0.45", + "version": "1.0.46", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "agentstack", - "version": "1.0.45", + "version": "1.0.46", "license": "ISC", "dependencies": { "@ai-sdk/google": "^3.0.64", @@ -46,6 +46,8 @@ "@mastra/core": "^1.26.0-alpha.8", "@mastra/daytona": "^0.2.1", "@mastra/deployer": "^1.26.0-alpha.8", + "@mastra/deployer-cloudflare": "^1.1.23", + "@mastra/docker": "^0.0.0-alpha.0", "@mastra/duckdb": "^1.1.2", "@mastra/editor": "^0.7.17-alpha.2", "@mastra/evals": "^1.2.1", @@ -118,7 +120,8 @@ "ai-sdk-provider-opencode-sdk": "^3.0.2", "ansi-to-react": "^6.2.6", "arraystat": "^1.7.81", - "axios": "^1.15.0", + "axios": "^1.15.1", + "axios-curlirize": "^2.0.0", "axios-retry": "^4.5.0", "better-auth": "^1.6.5", "bottleneck": "^2.19.5", @@ -4310,6 +4313,12 @@ "node": ">=6.9.0" } }, + "node_modules/@balena/dockerignore": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/@balena/dockerignore/-/dockerignore-1.0.2.tgz", + "integrity": "sha512-wMue2Sy4GAVTk6Ic4tJVcnfdau+gx2EnG7S+uAEe+TWJFqE4YoWN4/H8MSLj4eYJKxGg26lZwboEniNiNwZQ6Q==", + "license": "Apache-2.0" + }, "node_modules/@bcoe/v8-coverage": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/@bcoe/v8-coverage/-/v8-coverage-1.0.2.tgz", @@ -11428,6 +11437,107 @@ "zod": "^3.25.0 || ^4.0.0" } }, + "node_modules/@mastra/deployer-cloudflare": { + "version": "1.1.23", + "resolved": "https://registry.npmjs.org/@mastra/deployer-cloudflare/-/deployer-cloudflare-1.1.23.tgz", + "integrity": "sha512-0WHl2/fNXlNMjKPTIkpEE9GBDd3iKaBpDw3jzZdQJOVbI89N9pTUkOOx9uyuJhUqfyvxpBjLrADYdLNP70elgQ==", + "license": "Apache-2.0", + 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}, + "node_modules/split-ca": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/split-ca/-/split-ca-1.0.1.tgz", + "integrity": "sha512-Q5thBSxp5t8WPTTJQS59LrGqOZqOsrhDGDVm8azCqIBjSBd7nd9o2PM+mDulQQkh8h//4U6hFZnc/mul8t5pWQ==", + "license": "ISC" + }, "node_modules/split2": { "version": "4.2.0", "resolved": "https://registry.npmjs.org/split2/-/split2-4.2.0.tgz", @@ -49854,6 +50114,23 @@ "integrity": "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA==", "license": "BSD-3-Clause" }, + "node_modules/ssh2": { + "version": "1.17.0", + "resolved": "https://registry.npmjs.org/ssh2/-/ssh2-1.17.0.tgz", + "integrity": "sha512-wPldCk3asibAjQ/kziWQQt1Wh3PgDFpC0XpwclzKcdT1vql6KeYxf5LIt4nlFkUeR8WuphYMKqUA56X4rjbfgQ==", + "hasInstallScript": true, + "dependencies": { + "asn1": "^0.2.6", + "bcrypt-pbkdf": "^1.0.2" + }, + "engines": { + "node": ">=10.16.0" + }, + "optionalDependencies": { + "cpu-features": "~0.0.10", + "nan": "^2.23.0" + } + }, "node_modules/ssri": { "version": "13.0.1", "resolved": "https://registry.npmjs.org/ssri/-/ssri-13.0.1.tgz", @@ -51907,22 +52184,6 @@ "integrity": "sha512-KQQR9yN7R5+OSwaK0XQoj22pwHoTlgYqmUscPYoknOoWCWfj/5/ABTMRi69FrKU5ffPVh5QcFikpWJI/P1ocHA==", "license": "MIT" }, - "node_modules/tsup/node_modules/yaml": { - "version": "2.8.3", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.3.tgz", - "integrity": "sha512-AvbaCLOO2Otw/lW5bmh9d/WEdcDFdQp2Z2ZUH3pX9U2ihyUY0nvLv7J6TrWowklRGPYbB/IuIMfYgxaCPg5Bpg==", - "extraneous": true, - "license": "ISC", - "bin": { - "yaml": "bin.mjs" - }, - "engines": { - "node": ">= 14.6" - }, - "funding": { - "url": "https://github.com/sponsors/eemeli" - } - }, "node_modules/tsyringe": { "version": "4.10.0", "resolved": "https://registry.npmjs.org/tsyringe/-/tsyringe-4.10.0.tgz", @@ -53137,22 +53398,6 @@ } } }, - "node_modules/vitest/node_modules/yaml": { - "version": "2.8.3", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.3.tgz", - "integrity": "sha512-AvbaCLOO2Otw/lW5bmh9d/WEdcDFdQp2Z2ZUH3pX9U2ihyUY0nvLv7J6TrWowklRGPYbB/IuIMfYgxaCPg5Bpg==", - "extraneous": true, - "license": "ISC", - "bin": { - "yaml": "bin.mjs" - }, - "engines": { - "node": ">= 14.6" - }, - "funding": { - "url": "https://github.com/sponsors/eemeli" - } - }, "node_modules/vm-browserify": { "version": "1.1.2", "resolved": "https://registry.npmjs.org/vm-browserify/-/vm-browserify-1.1.2.tgz", diff --git a/package.json b/package.json index 1469c322..48326b7b 100644 --- a/package.json +++ b/package.json @@ -88,6 +88,8 @@ "@mastra/core": "^1.26.0-alpha.8", "@mastra/daytona": "^0.2.1", "@mastra/deployer": "^1.26.0-alpha.8", + "@mastra/deployer-cloudflare": "^1.1.23", + "@mastra/docker": "^0.0.0-alpha.0", "@mastra/duckdb": "^1.1.2", "@mastra/editor": "^0.7.17-alpha.2", "@mastra/evals": "^1.2.1", @@ -160,7 +162,8 @@ "ai-sdk-provider-opencode-sdk": "^3.0.2", "ansi-to-react": "^6.2.6", "arraystat": "^1.7.81", - "axios": "^1.15.0", + "axios": "^1.15.1", + "axios-curlirize": "^2.0.0", "axios-retry": "^4.5.0", "better-auth": "^1.6.5", "bottleneck": "^2.19.5", diff --git a/src/mastra/agents/researchAgent.ts b/src/mastra/agents/researchAgent.ts index 0ca8a3d7..33228f87 100644 --- a/src/mastra/agents/researchAgent.ts +++ b/src/mastra/agents/researchAgent.ts @@ -1,9 +1,9 @@ import { libsqlQueryTool, libsqlgraphQueryTool } from './../config/libsql'; import { libsqlChunker, mdocumentChunker } from './../tools/document-chunking.tool'; import type { GoogleLanguageModelOptions } from '@ai-sdk/google' -import type { Message, Thread } from 'chat' import { Agent } from '@mastra/core/agent' import { log } from '../config/logger' +import { researchAgentChannels } from '../config/channels' import { evaluateResultTool } from '../tools/evaluateResultTool' import { extractLearningsTool } from '../tools/extractLearningsTool' import { fetchTool } from '../tools/fetch.tool' @@ -42,7 +42,6 @@ import { // Scorers import { InternalSpans } from '@mastra/core/observability' -import type { ChannelHandlers } from '@mastra/core/channels' import { getLanguageFromContext, getRoleFromContext, @@ -52,8 +51,6 @@ import { researchArxivDownloadWorkflow } from '../workflows/research/research-ar import { researchArxivSearchWorkflow } from '../workflows/research/research-arxiv-search.workflow' import { LibsqlMemory } from '../config/libsql' import { listRepositories } from '../tools/github'; -import { createGitHubAdapter } from '@chat-adapter/github' -import { createDiscordAdapter } from '@chat-adapter/discord' import { google } from '../config/google' import { TokenLimiter, @@ -65,159 +62,7 @@ import { googleAiOverviewTool } from '../tools/serpapi-search.tool'; import { amazonSearchTool, ebaySearchTool, homeDepotSearchTool, walmartSearchTool } from '../tools/serpapi-shopping.tool'; import { agentFsWorkspace } from '../workspaces'; import { agentBrowser } from '../browsers' -import { createMemoryState } from "@chat-adapter/state-memory"; import { convexMemory } from '../config/convex' -//const github = createGitHubAdapter({ -// //appId: process.env.GITHUB_APP_ID!, -// //privateKey: process.env.GITHUB_PRIVATE_KEY!, -// // webhookSecret: process.env.GITHUB_WEBHOOK_SECRET!, -//}); - -/** - * Enables the GitHub channel only when the webhook secret and at least one - * supported authentication path are configured in the environment. - */ -function isGitHubChannelConfigured(): boolean { - const hasWebhookSecret = Boolean(process.env.GITHUB_WEBHOOK_SECRET?.trim()) - const hasToken = Boolean(process.env.GITHUB_TOKEN?.trim()) - const hasAppAuth = Boolean( - process.env.GITHUB_APP_ID?.trim() && - process.env.GITHUB_PRIVATE_KEY?.trim() - ) - - return hasWebhookSecret && (hasToken || hasAppAuth) -} - -const researchAgentChannelAdapters = { - discord: { - adapter: createDiscordAdapter(), - gateway: false, - }, - ...(isGitHubChannelConfigured() - ? { - github: { - adapter: createGitHubAdapter({ - userName: - process.env.GITHUB_BOT_USERNAME?.trim() ?? 'research-agent', - }), - gateway: false, - cards: false, - }, - } - : {}), -} - -/** - * Normalizes the message text available from channel adapters so handler logic - * can make lightweight decisions without depending on one platform shape. - */ -function getChannelMessageText(message: { - text?: string - content?: unknown -}): string { - if (typeof message.text === 'string' && message.text.trim().length > 0) { - return message.text.trim() - } - - if (typeof message.content === 'string' && message.content.trim().length > 0) { - return message.content.trim() - } - - return '' -} - -/** - * Detects low-signal follow-up messages that do not warrant another full - * research pass when the agent is already subscribed to the thread. - */ -function isAcknowledgementOnlyMessage(messageText: string): boolean { - return /^(thanks|thank you|resolved|done|fixed|closed|lgtm|sgtm|looks good)[.!]?$/i.test( - messageText.trim() - ) -} - -/** - * Detects GitHub-backed channel threads from the Chat SDK thread ID format. - */ -function isGitHubThread(thread: Thread): boolean { - return thread.id.startsWith('github:') -} - -type ResearchChannelEvent = - | 'direct-message' - | 'mention' - | 'subscribed-message' - -/** - * Centralizes research-channel hook behavior so every handler logs the same - * metadata and applies the same low-signal suppression rules. - */ -async function handleResearchChannelEvent( - event: ResearchChannelEvent, - thread: Thread, - message: Message, - defaultHandler: (thread: Thread, message: Message) => Promise, - options?: { - skipAcknowledgements?: boolean - } -): Promise { - const messageText = getChannelMessageText(message) - const acknowledgementOnly = isAcknowledgementOnlyMessage(messageText) - const githubThread = isGitHubThread(thread) - - log.info('Research channel event', { - event, - threadId: thread.id, - platform: githubThread ? 'github' : 'chat', - textLength: messageText.length, - acknowledgementOnly, - }) - - if (options?.skipAcknowledgements && acknowledgementOnly) { - log.info('Research channel event skipped', { - event, - threadId: thread.id, - reason: 'acknowledgement-only', - platform: githubThread ? 'github' : 'chat', - }) - return - } - - await defaultHandler(thread, message) -} - -const researchChannelHandlers: ChannelHandlers = { - onDirectMessage: async (thread, message, defaultHandler) => { - await handleResearchChannelEvent( - 'direct-message', - thread, - message, - defaultHandler - ) - }, - onMention: async (thread, message, defaultHandler) => { - await handleResearchChannelEvent( - 'mention', - thread, - message, - defaultHandler, - { - skipAcknowledgements: true, - } - ) - }, - onSubscribedMessage: async (thread, message, defaultHandler) => { - await handleResearchChannelEvent( - 'subscribed-message', - thread, - message, - defaultHandler, - { - skipAcknowledgements: true, - } - ) - }, -} type ResearchPhase = 'initial' | 'followup' | 'validation' const RESEARCH_PHASE_CONTEXT_KEY = 'researchPhase' as const @@ -383,16 +228,7 @@ Role: ${role} | Lang: ${language} | Phase: ${researchPhase} ], workspace: agentFsWorkspace, browser: agentBrowser, - channels: { - inlineLinks: ['*'], - inlineMedia: ['image/*', 'video/*', 'audio/*'], - adapters: researchAgentChannelAdapters, - threadContext: { - maxMessages: 15, - }, - state: createMemoryState(), - handlers: researchChannelHandlers, - }, + channels: researchAgentChannels, //voice: new GoogleVoice(), // Add OpenAI voice provider with default configuration defaultOptions: { //autoResumeSuspendedTools: true, diff --git a/src/mastra/config/AGENTS.md b/src/mastra/config/AGENTS.md index 4b7d7cb6..12ae13f5 100644 --- a/src/mastra/config/AGENTS.md +++ b/src/mastra/config/AGENTS.md @@ -33,6 +33,7 @@ Establish consistent, testable, and secure entry points for all external depende | `openrouter.ts` | OpenRouter model provider client setup | Routes to 50+ models from various providers | | `vertex.ts` | Google Vertex AI model provider setup | Google Cloud-based models | | `pg-storage.ts` | PostgreSQL storage & vector client config | **CRITICAL**: PgVector for embeddings, memory, threads | +| `channels.ts` | Shared agent channel configuration | Adapter gating, handlers, and channel defaults | | `mongodb.ts` | MongoDB database configuration | Alternative document storage | | `upstash.ts` | Upstash Redis configuration | Caching and session storage | | `upstashMemory.ts` | Upstash Redis memory configuration | Alternative memory provider | diff --git a/src/mastra/config/channels.ts b/src/mastra/config/channels.ts new file mode 100644 index 00000000..13c5577d --- /dev/null +++ b/src/mastra/config/channels.ts @@ -0,0 +1,188 @@ +import { createDiscordAdapter } from '@chat-adapter/discord' +import { createGitHubAdapter } from '@chat-adapter/github' +import { createMemoryState } from '@chat-adapter/state-memory' +import type { ChannelConfig, ChannelHandlers } from '@mastra/core/channels' +import type { Message, Thread } from 'chat' + +import { log } from './logger' + +/** + * Detects whether the GitHub channel can be safely registered from the + * current environment variables. + * + * GitHub channel support requires the webhook secret plus either a token or a + * GitHub App key pair, otherwise Mastra channel startup can fail in unconfigured + * environments. + */ +export function isGitHubChannelConfigured(): boolean { + const hasWebhookSecret = Boolean(process.env.GITHUB_WEBHOOK_SECRET?.trim()) + const hasToken = Boolean(process.env.GITHUB_TOKEN?.trim()) + const hasAppAuth = Boolean( + process.env.GITHUB_APP_ID?.trim() && process.env.GITHUB_PRIVATE_KEY?.trim() + ) + + return hasWebhookSecret && (hasToken || hasAppAuth) +} + +/** + * Normalizes a channel message payload to a plain text string when possible. + * + * Different Chat SDK adapters expose either `text` or `content`, so the shared + * config keeps the extraction logic in one place. + */ +export function getChannelMessageText(message: { + text?: string + content?: unknown +}): string { + if (typeof message.text === 'string' && message.text.trim().length > 0) { + return message.text.trim() + } + + if (typeof message.content === 'string' && message.content.trim().length > 0) { + return message.content.trim() + } + + return '' +} + +/** + * Detects short acknowledgement replies that do not warrant another full + * research pass. + */ +export function isAcknowledgementOnlyMessage(messageText: string): boolean { + return /^(thanks|thank you|resolved|done|fixed|closed|lgtm|sgtm|looks good)[.!]?$/i.test( + messageText.trim() + ) +} + +/** + * Detects GitHub-backed channel threads from the Chat SDK thread ID format. + */ +export function isGitHubThread(thread: Thread): boolean { + return thread.id.startsWith('github:') +} + +/** + * Shared event labels used by the research channel handlers. + */ +export type ResearchChannelEvent = + | 'direct-message' + | 'mention' + | 'subscribed-message' + +/** + * Logs a normalized channel event and applies the shared acknowledgement + * suppression rules before delegating to the default handler. + */ +export async function handleResearchChannelEvent( + event: ResearchChannelEvent, + thread: Thread, + message: Message, + defaultHandler: (thread: Thread, message: Message) => Promise, + options?: { + skipAcknowledgements?: boolean + } +): Promise { + const messageText = getChannelMessageText(message) + const acknowledgementOnly = isAcknowledgementOnlyMessage(messageText) + const githubThread = isGitHubThread(thread) + + log.info('Research channel event', { + event, + threadId: thread.id, + platform: githubThread ? 'github' : 'chat', + textLength: messageText.length, + acknowledgementOnly, + }) + + if (options?.skipAcknowledgements && acknowledgementOnly) { + log.info('Research channel event skipped', { + event, + threadId: thread.id, + reason: 'acknowledgement-only', + platform: githubThread ? 'github' : 'chat', + }) + return + } + + await defaultHandler(thread, message) +} + +/** + * Builds the research agent's channel adapter map with environment-gated + * GitHub support. + */ +export function createResearchChannelAdapters(): ChannelConfig['adapters'] { + const adapters: ChannelConfig['adapters'] = { + discord: { + adapter: createDiscordAdapter(), + gateway: false, + }, + } + + if (isGitHubChannelConfigured()) { + adapters.github = { + adapter: createGitHubAdapter({ + userName: process.env.GITHUB_BOT_USERNAME?.trim() ?? 'research-agent', + }), + gateway: false, + cards: false, + } + } + + return adapters +} + +/** + * Shared channel handler overrides for the research agent. + */ +export const researchChannelHandlers: ChannelHandlers = { + onDirectMessage: async (thread, message, defaultHandler) => { + await handleResearchChannelEvent( + 'direct-message', + thread, + message, + defaultHandler + ) + }, + onMention: async (thread, message, defaultHandler) => { + await handleResearchChannelEvent('mention', thread, message, defaultHandler, { + skipAcknowledgements: true, + }) + }, + onSubscribedMessage: async (thread, message, defaultHandler) => { + await handleResearchChannelEvent( + 'subscribed-message', + thread, + message, + defaultHandler, + { + skipAcknowledgements: true, + } + ) + }, +} + +/** + * Shared channels configuration for the research agent. + * + * Keep this as the central place for channel defaults so future agents can + * re-use the same adapter, inline media, and thread-context configuration. + */ +export function createResearchAgentChannels(): ChannelConfig { + return { + inlineLinks: ['*'], + inlineMedia: ['image/*', 'video/*', 'audio/*'], + adapters: createResearchChannelAdapters(), + threadContext: { + maxMessages: 15, + }, + state: createMemoryState(), + handlers: researchChannelHandlers, + } +} + +/** + * Prebuilt research-agent channel configuration for the current runtime. + */ +export const researchAgentChannels = createResearchAgentChannels() diff --git a/src/mastra/config/cloudflare.ts b/src/mastra/config/cloudflare.ts new file mode 100644 index 00000000..1d204f09 --- /dev/null +++ b/src/mastra/config/cloudflare.ts @@ -0,0 +1,61 @@ +import { CloudflareKVStorage } from '@mastra/cloudflare/kv' +import { D1Store } from '@mastra/cloudflare-d1' +import { Mastra } from '@mastra/core' +import { CloudflareDeployer } from '@mastra/deployer-cloudflare' +import { FilesystemStore, MastraCompositeStore } from '@mastra/core/storage' +import { duckStore } from './duckdb' + +type Env = { + D1Database: D1Database // TypeScript type definition +} + +// Factory function to create Mastra with D1 binding +function createMastra(env: Env) { + const storage = new D1Store({ + binding: env.D1Database, // ✅ Access the actual binding from env + tablePrefix: 'dev_', // Optional: isolate tables per environment + }) + + return new Mastra({ + storage, + deployer: new CloudflareDeployer({ + name: 'my-worker', + d1_databases: [ + { + binding: 'D1Database', // Must match the property name in Env type + database_name: 'your-database-name', + database_id: 'your-database-id', + }, + ], + }), + }) +} + +// --- Example 1: Using Workers Binding --- +const storageWorkers = new CloudflareKVStorage({ + id: 'cloudflare-workers-storage', + bindings: { + threads: THREADS_KV, // KVNamespace binding for threads table + messages: MESSAGES_KV, // KVNamespace binding for messages table + // Add other tables as needed + }, + keyPrefix: 'dev_', // Optional: isolate keys per environment +}) + +// --- Example 2: Using REST API --- +const cloudflareKVStorage = new CloudflareKVStorage({ + id: 'cloudflare-kv-storage', + accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, // Cloudflare Account ID + apiToken: process.env.CLOUDFLARE_API_TOKEN!, // Cloudflare API Token + namespacePrefix: 'dev_', // Optional: isolate namespaces per environment +}) + +const cloudflareComposite = new MastraCompositeStore({ + id: 'composite', + default: cloudflareKVStorage, + editor: new FilesystemStore({ dir: '.cloudflareKV-storage' }), + domains: { + //memory: new MemoryLibSQL({ url: 'file:./local.db' }), + observability: duckStore.observability, + } +}) \ No newline at end of file diff --git a/src/mastra/config/docker.ts b/src/mastra/config/docker.ts new file mode 100644 index 00000000..6affa2c0 --- /dev/null +++ b/src/mastra/config/docker.ts @@ -0,0 +1,70 @@ +import { LocalFilesystem, Workspace, WORKSPACE_TOOLS } from '@mastra/core/workspace' +import { DockerSandbox } from '@mastra/docker' +import { libsqlvector } from './libsql' +import { embed } from 'ai' +import { fastembed } from '@mastra/fastembed' +import { log } from './logger' + + +export const dockerWorkspace = new Workspace({ + id: 'docker-workspace', + sandbox: new DockerSandbox({ + id: 'node:22-slim', + image: 'node:22-slim', + timeout: 60000, + volumes: { + '/app': '/app', + }, + }), + filesystem: new LocalFilesystem({ id: 'docker-workspace', basePath: './docker-workspace' }), + vectorStore: libsqlvector, + embedder: async (text: string) => { + const { embedding } = await embed({ + model: fastembed, + value: text, + maxRetries: 3, + abortSignal: new AbortController().signal, + providerOptions: { + }, + experimental_telemetry: { + isEnabled: true, + recordInputs: true, + recordOutputs: true, + functionId: 'dockerWorkspace-embedder', + }, + }) + return embedding + }, + lsp: true, + tools: { + [WORKSPACE_TOOLS.SANDBOX.EXECUTE_COMMAND]: { + backgroundProcesses: { + abortSignal: undefined, + onStdout: (data, meta) => { + log.info('Workspace process stdout', { + pid: meta.pid, + toolCallId: meta.toolCallId, + data, + }) + }, + onStderr: (data, meta) => { + log.error('Workspace process stderr', { + pid: meta.pid, + toolCallId: meta.toolCallId, + data, + }) + }, + onExit: meta => { + log.info('Workspace process exited', { + pid: meta.pid, + exitCode: meta.exitCode, + toolCallId: meta.toolCallId, + }) + }, + }, + }, + }, + skills: ['/skills'], + bm25: { k1: 1.5, b: 0.75,}, + autoIndexPaths: ['/docs', '/support/faq', '/skills', '/**/*.md', '/**/*.txt'], +}) \ No newline at end of file diff --git a/src/mastra/config/index.ts b/src/mastra/config/index.ts index 29b44f5a..1bf97b26 100644 --- a/src/mastra/config/index.ts +++ b/src/mastra/config/index.ts @@ -3,6 +3,7 @@ */ export * from './logger' export * from './pg-storage' +export * from './channels' // Provider instances export * from './google' diff --git a/src/mastra/lib/http-client.ts b/src/mastra/lib/http-client.ts index e4c6fdee..ab671224 100644 --- a/src/mastra/lib/http-client.ts +++ b/src/mastra/lib/http-client.ts @@ -1,4 +1,4 @@ -import type { AxiosInstance, AxiosRequestConfig } from 'axios' +import type { AxiosInstance, AxiosRequestConfig, Method } from 'axios' import axios from 'axios' import axiosRetry from 'axios-retry' import Bottleneck from 'bottleneck' @@ -16,19 +16,20 @@ export interface HttpClientOptions { retryDelay?: (retryCount: number, error: unknown) => number timeout?: number - headers?: Record + headers?: AxiosRequestConfig['headers'] baseURL?: string maxContentLength?: number maxBodyLength?: number } export interface HttpFetchInit { - method?: string + method?: Method timeout?: number signal?: AbortSignal responseType?: 'json' | 'text' | 'arraybuffer' - headers?: Record - params?: Record + headers?: AxiosRequestConfig['headers'] + params?: Record + data?: unknown } export interface HttpFetchResponse { @@ -98,6 +99,7 @@ export function createHttpClient(opts?: HttpClientOptions): ClientBundle { signal: init?.signal, headers: init?.headers, params: init?.params, + data: init?.data, validateStatus: () => true, }) ) diff --git a/src/mastra/tools/AGENTS.md b/src/mastra/tools/AGENTS.md index 60be1399..d405832c 100644 --- a/src/mastra/tools/AGENTS.md +++ b/src/mastra/tools/AGENTS.md @@ -24,6 +24,27 @@ Encapsulate 30+ atomic operational capabilities (security checks, vector queries The `createTool()` function is used to define custom tools that your Mastra agents can execute. Tools extend an agent's capabilities by allowing it to interact with external systems, perform calculations, or access specific data. +### Workspace filesystem policy + +- Do **not** import `node:path` or `node:fs` / `node:fs/promises` in tool files. +- If a tool needs workspace file access, import `mainFilesystem` from `../workspaces` and use its filesystem APIs. +- Prefer `mainFilesystem.stat`, `mainFilesystem.readFile`, `mainFilesystem.writeFile`, `mainFilesystem.appendFile`, `mainFilesystem.deleteFile`, `mainFilesystem.copyFile`, `mainFilesystem.moveFile`, `mainFilesystem.mkdir`, `mainFilesystem.rmdir`, `mainFilesystem.readdir`, `mainFilesystem.exists`, `mainFilesystem.realpath`, and `mainFilesystem.resolveAbsolutePath` over Node filesystem calls. +- Keep paths workspace-relative unless the tool explicitly documents another contract. +- Use `mainFilesystem.getInfo()` and `mainFilesystem.getInstructions()` when a tool needs filesystem metadata or workspace guidance. +- Use `mainFilesystem.setAllowedPaths()` only in workspace/bootstrap code, not in normal tool execution. +- When a file operation needs binary data, keep it in `Buffer` / `Uint8Array` form and avoid creating `ArrayBuffer | SharedArrayBuffer` values that later break `Blob` typing. + +### Tool output and `toModelOutput` + +- `execute` returns the full application-facing result. +- `toModelOutput` must be defined inline in the tool object; do not extract it into a separate formatter helper just to move model shaping logic elsewhere. +- Use `toModelOutput` to transform rich tool data into the model-facing shape. +- `type: 'json'` for structured results and URL-rich payloads that the model can inspect directly. +- `type: 'text'` for a concise human-readable summary. +- `type: 'content'` for multimodal or multi-part responses (text, image-url, file-url, etc.). +- Keep `toModelOutput` output JSON-safe and omit optional keys instead of returning `undefined` values. +- If a tool returns URLs, preserve them in the app-facing output schema and expose the important ones in the model-facing summary or content parts. + ### Usage Example ```typescript @@ -67,6 +88,18 @@ export const tool = createTool({ - **`onInputAvailable?`**: `function` - Optional callback invoked when the complete tool input is available and parsed. Receives the validated `input` object, `toolCallId`, `messages`, and `abortSignal`. - **`onOutput?`**: `function` - Optional callback invoked after the tool has successfully executed and returned output. Receives the tool's `output`, `toolCallId`, `messages`, and `abortSignal`. +### ToolExecutionContext + +The second `execute` argument is the tool execution context. + +- Read `context?.requestContext` through a local interface that extends `RequestContext`. +- Use `context?.tracingContext` for child spans and structured tracing. +- Use `context?.writer?.custom(...)` for `data-tool-progress` updates. +- Treat `context?.abortSignal` as authoritative cancellation state and exit early when it is already aborted. +- Use `context?.workspace` when the tool needs a workspace handle. +- Use `context?.mcp` only when the tool is executing under MCP and needs protocol-specific request data. +- Avoid writing `undefined` into output payloads; prefer omitting the field entirely. + ### Returns The `createTool()` function returns a `Tool` object. @@ -246,6 +279,13 @@ To ensure high-quality, consistent observability across all tools, the following - Emit `data-tool-progress` events at start and completion (stage must match the tool id). - Respect `abortSignal` early (fail fast) and record cancellations in spans. +### Streaming and `ChunkType` + +- Any tool that uses `agent.stream(...)` should import `ChunkType` from `@mastra/core/stream` and type `onChunk` handlers with `ChunkType`. +- `ChunkType` is the union of all stream chunk families (`agent`, `workflow`, `network`, and data chunks). Use it when inspecting or forwarding streaming events. +- When accumulating streamed text, read only the typed `text-delta` chunks and keep the callback narrow. +- Do not cast streamed chunks to `any` or invent wrapper objects just to satisfy TypeScript. + See these docs for details and examples: - `docs/tracing-interfaces-reference.md` (Tracing types) diff --git a/src/mastra/tools/alpha-vantage.tool.ts b/src/mastra/tools/alpha-vantage.tool.ts index 58e800f8..3630b2d2 100644 --- a/src/mastra/tools/alpha-vantage.tool.ts +++ b/src/mastra/tools/alpha-vantage.tool.ts @@ -7,6 +7,27 @@ import { createTool } from '@mastra/core/tools' import { z } from 'zod' import { log } from '../config/logger' import { httpFetch } from '../lib/http-client' + +type AlphaVantageJsonPrimitive = string | number | boolean | null +type AlphaVantageJsonValue = + | AlphaVantageJsonPrimitive + | AlphaVantageJsonObject + | AlphaVantageJsonValue[] + +interface AlphaVantageJsonObject { + [key: string]: AlphaVantageJsonValue +} + +const alphaVantageJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(alphaVantageJsonValueSchema), + z.record(z.string(), alphaVantageJsonValueSchema), + ]) +) import { createLinkedAbortController, resolveAbortSignal, @@ -104,11 +125,9 @@ export const alphaVantageCryptoTool = createTool({ .describe('Response format'), }), outputSchema: z.object({ - data: z - .any() - .describe( - 'The cryptocurrency data returned from Alpha Vantage API' - ), + data: alphaVantageJsonValueSchema.describe( + 'The cryptocurrency data returned from Alpha Vantage API' + ), metadata: z .object({ function: z.string(), @@ -122,30 +141,27 @@ export const alphaVantageCryptoTool = createTool({ .optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Alpha Vantage crypto tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Alpha Vantage crypto tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Alpha Vantage crypto received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, symbol: input.symbol, market: input.market, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, @@ -414,24 +430,16 @@ export const alphaVantageCryptoTool = createTool({ } }, toModelOutput: (output) => ({ - type: 'content', - value: [ - { - type: 'text' as const, - text: `${output.metadata?.function ?? 'Alpha Vantage crypto'} for ${output.metadata?.symbol ?? 'unknown'}`, - }, - { - type: 'text' as const, - text: `Returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, - }, - ], + type: 'json', + value: output, }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const resolved = resolveAbortSignal(abortSignal) + const aborted = resolved.aborted ?? false log.info('Alpha Vantage crypto completed', { toolCallId, toolName, symbol: output.metadata?.symbol ?? 'unknown', - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -505,9 +513,9 @@ export const alphaVantageStockTool = createTool({ .describe('Price series type for technical indicators'), }), outputSchema: z.object({ - data: z - .any() - .describe('The stock data returned from Alpha Vantage API'), + data: alphaVantageJsonValueSchema.describe( + 'The stock data returned from Alpha Vantage API' + ), metadata: z .object({ function: z.string(), @@ -525,29 +533,38 @@ export const alphaVantageStockTool = createTool({ strict: true, onInputStart: ({ toolCallId, messages, abortSignal }) => { + const resolved = resolveAbortSignal(abortSignal) + const aborted = resolved.aborted ?? false + const messagePreview = messages?.slice?.(0, 5) log.info('Alpha Vantage stock tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages: messagePreview, + aborted, hook: 'onInputStart', }) }, onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + const resolved = resolveAbortSignal(abortSignal) + const aborted = resolved.aborted ?? false + const messagePreview = messages?.slice?.(0, 5) log.info('Alpha Vantage stock tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages: messagePreview, + aborted, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + const resolved = resolveAbortSignal(abortSignal) + const aborted = resolved.aborted ?? false + const messagePreview = messages?.slice?.(0, 5) log.info('Alpha Vantage stock received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messagePreview, symbol: input.symbol, function: input.function, - abortSignal: resolveAbortSignal(abortSignal).aborted, + aborted, hook: 'onInputAvailable', }) }, @@ -841,8 +858,8 @@ export const alphaVantageStockTool = createTool({ }, toModelOutput: (output) => ({ - type: 'text', - value: `${output.metadata?.function ?? 'Alpha Vantage stock'} for ${output.metadata?.symbol ?? 'unknown'} returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, + type: 'json', + value: output, }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { const dataKeys = @@ -854,7 +871,6 @@ export const alphaVantageStockTool = createTool({ toolName, symbol: output.metadata?.symbol ?? 'unknown', dataKeys, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -963,9 +979,9 @@ export const alphaVantageTool = createTool({ .describe('Economic indicator to retrieve'), }), outputSchema: z.object({ - data: z - .any() - .describe('The financial data returned from Alpha Vantage API'), + data: alphaVantageJsonValueSchema.describe( + 'The financial data returned from Alpha Vantage API' + ), metadata: z .object({ function: z.string(), @@ -978,27 +994,25 @@ export const alphaVantageTool = createTool({ .optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('alphaVantageTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('alphaVantageTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('alphaVantageTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { function: input.function, symbol: input.symbol, @@ -1011,7 +1025,6 @@ export const alphaVantageTool = createTool({ series_type: input.series_type, economic_indicator: input.economic_indicator, }, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, @@ -1325,19 +1338,10 @@ export const alphaVantageTool = createTool({ } }, toModelOutput: (output) => ({ - type: 'content', - value: [ - { - type: 'text' as const, - text: `${output.metadata?.function ?? 'Alpha Vantage'} for ${output.metadata?.symbol ?? 'unknown'}`, - }, - { - type: 'text' as const, - text: `Returned ${Array.isArray(output.data) ? output.data.length : output.data && typeof output.data === 'object' ? Object.keys(output.data).length : 0} top-level item(s).`, - }, - ], + type: 'json', + value: output, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const dataKeys = output.data !== null && typeof output.data === 'object' ? Object.keys(output.data as object).length @@ -1347,7 +1351,6 @@ export const alphaVantageTool = createTool({ toolName, function: output.metadata?.function ?? 'unknown', dataKeys, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/arxiv.tool.ts b/src/mastra/tools/arxiv.tool.ts index f64ca5aa..36ab58f4 100644 --- a/src/mastra/tools/arxiv.tool.ts +++ b/src/mastra/tools/arxiv.tool.ts @@ -250,35 +250,33 @@ export const arxivTool = createTool({ max_results: z.number(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('ArXiv tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('ArXiv tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ArXiv tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, query: input.query, maxResults: input.max_results, - abortSignal: abortSignal?.aborted, + abortSignal, hook: 'onInputAvailable', }) }, execute: async (inputData, context) => { - const abortSignal = context.abortSignal + const abortSignal = context.abortSignal as AbortSignal | undefined const writer = context.writer const requestContext = context.requestContext as RequestContext | undefined const userId = requestContext?.all.userId @@ -509,12 +507,11 @@ export const arxivTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('ArXiv search completed', { toolCallId, toolName, entryCount: output?.papers?.length ?? 0, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -576,8 +573,8 @@ export const arxivPdfParserTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ArXiv PDF parser input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, + abortSignal, hook: 'onInputStart', }) }, @@ -585,18 +582,18 @@ export const arxivPdfParserTool = createTool({ log.info('ArXiv PDF parser received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + abortSignal, + messages, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ArXiv PDF parser received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, arxivId: input.arxivId, maxPages: input.maxPages, - abortSignal: abortSignal?.aborted, + abortSignal, hook: 'onInputAvailable', }) }, @@ -935,14 +932,13 @@ export const arxivPdfParserTool = createTool({ } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('ArXiv PDF parsing completed', { toolCallId, toolName, arxivId: output.arxivId, success: output.success, pageCount: output.statistics.pageCount, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -1008,31 +1004,28 @@ export const arxivPaperDownloaderTool = createTool({ }) .optional(), }), - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('ArXiv paper downloader input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('ArXiv paper downloader received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('ArXiv paper downloader received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, arxivId: input.arxivId, includePdf: input.includePdfContent, format: input.format, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -1288,14 +1281,13 @@ export const arxivPaperDownloaderTool = createTool({ } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('ArXiv paper download completed', { toolCallId, toolName, arxivId: output.arxivId, success: output.success, hasPdf: !!output.pdfContent, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/binance-crypto-market.tool.ts b/src/mastra/tools/binance-crypto-market.tool.ts index f0be4f99..e19e499b 100644 --- a/src/mastra/tools/binance-crypto-market.tool.ts +++ b/src/mastra/tools/binance-crypto-market.tool.ts @@ -351,8 +351,8 @@ export const binanceSpotMarketDataTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Binance spot market-data input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, + abortSignal, hook: 'onInputStart', }) }, @@ -360,18 +360,16 @@ export const binanceSpotMarketDataTool = createTool({ log.info('Binance spot market-data received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Binance spot market-data received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, function: input.function, symbol: input.symbol, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, @@ -511,14 +509,13 @@ export const binanceSpotMarketDataTool = createTool({ (part): part is { type: 'text'; text: string } => Boolean(part) ), }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const count = countBinanceMarketDataItems(output.data) log.info('Binance spot market-data completed', { toolCallId, toolName, count, - aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/browser-tool.ts b/src/mastra/tools/browser-tool.ts index a1471b2d..e2347423 100644 --- a/src/mastra/tools/browser-tool.ts +++ b/src/mastra/tools/browser-tool.ts @@ -171,32 +171,26 @@ export const browserTool = createTool({ }), outputSchema: browserToolOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Browser tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - experimental_context, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal, experimental_context }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Browser tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - experimental_context, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal, experimental_context }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Browser tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], url: input.url, - abortSignal: abortSignal?.aborted, - experimental_context, hook: 'onInputAvailable', }) }, @@ -370,14 +364,17 @@ export const browserTool = createTool({ } } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { const isSuccess = output.success log[isSuccess ? 'info' : 'warn']('Browser tool completed', { toolCallId, toolName, success: isSuccess, message: output.message.substring(0, 100), - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -400,6 +397,29 @@ export const screenshotTool = createTool({ timeout: z.number().int().nonnegative().optional().default(30000), }), outputSchema: screenshotToolOutputSchema, + onInputStart: ({ toolCallId, messages }) => { + log.info('Screenshot tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Screenshot tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Screenshot tool received input', { + toolCallId, + messages: messages ?? [], + url: input.url, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context?.abortSignal const requestContext = context?.requestContext as RequestContext | undefined @@ -489,38 +509,11 @@ export const screenshotTool = createTool({ return { success: false, url: inputData.url, message: errorMsg } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Screenshot tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Screenshot tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Screenshot tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log[output?.success ?? false ? 'info' : 'warn']('Screenshot tool completed', { toolCallId, toolName, success: output?.success ?? false, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -538,29 +531,26 @@ export const pdfGeneratorTool = createTool({ timeout: z.number().int().nonnegative().optional().default(30000), }), outputSchema: pdfToolOutputSchema, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('PDF generator tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('PDF generator tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('PDF generator tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], url: input.url, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -654,13 +644,15 @@ export const pdfGeneratorTool = createTool({ return { success: false, url: inputData.url, message: errorMsg } } }, - - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log[output?.success ?? false ? 'info' : 'warn']('PDF generator tool completed', { toolCallId, toolName, success: output?.success ?? false, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -696,6 +688,29 @@ export const clickAndExtractTool = createTool({ waitUntil: waitUntilSchema.optional().default('domcontentloaded'), }), outputSchema: clickAndExtractOutputSchema, + onInputStart: ({ toolCallId, messages }) => { + log.info('Click and extract tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Click and extract tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Click and extract tool received input', { + toolCallId, + messages: messages ?? [], + url: input.url, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context?.abortSignal const requestContext = context?.requestContext as RequestContext | undefined @@ -816,40 +831,17 @@ export const clickAndExtractTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Click and extract tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Click and extract tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Click and extract tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log[output?.success ?? false ? 'info' : 'warn']( 'Click and extract tool completed', { toolCallId, toolName, success: output?.success ?? false, - abortSignal: abortSignal?.aborted, hook: 'onOutput', } ) @@ -878,6 +870,29 @@ export const fillFormTool = createTool({ waitForNavigation: z.boolean().optional().default(false), }), outputSchema: fillFormOutputSchema, + onInputStart: ({ toolCallId, messages }) => { + log.info('Fill form tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Fill form tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Fill form tool received input', { + toolCallId, + messages: messages ?? [], + url: input.url, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context.abortSignal const requestContext = context.requestContext as RequestContext | undefined @@ -982,38 +997,11 @@ export const fillFormTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Fill form tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Fill form tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Fill form tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log[output.success ? 'info' : 'warn']('Fill form tool completed', { toolCallId, toolName, success: output.success, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -1027,6 +1015,29 @@ export const googleSearch = createTool({ query: z.string(), }), outputSchema: googleSearchOutputSchema, + onInputStart: ({ toolCallId, messages }) => { + log.info('Google search tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Google search tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Google search tool received input', { + toolCallId, + messages: messages ?? [], + query: input.query, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context.abortSignal const requestContext = context.requestContext as RequestContext | undefined @@ -1157,39 +1168,12 @@ export const googleSearch = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Google search tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Google search tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Google search tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - query: input.query, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const isSuccess = output.success log[isSuccess ? 'info' : 'warn']('Google search tool completed', { toolCallId, toolName, success: isSuccess, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -1320,38 +1304,11 @@ export const extractTablesTool = createTool({ return { success: false, message: errorMsg } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Extract tables tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Extract tables tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Extract tables tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log[output.success ? 'info' : 'warn']('Extract tables tool completed', { toolCallId, toolName, success: output.success, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -1379,6 +1336,29 @@ export const monitorPageTool = createTool({ .describe('Maximum number of checks before stopping'), }), outputSchema: monitorPageOutputSchema, + onInputStart: ({ toolCallId, messages }) => { + log.info('Monitor page tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Monitor page tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Monitor page tool received input', { + toolCallId, + messages: messages ?? [], + url: input.url, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const abortSignal = context?.abortSignal const requestContext = context?.requestContext as RequestContext | undefined @@ -1487,38 +1467,11 @@ export const monitorPageTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Monitor page tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Monitor page tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Monitor page tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - url: input.url, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log[output.success ? 'info' : 'warn']('Monitor page tool completed', { toolCallId, toolName, success: output.success, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/calculator.tool.ts b/src/mastra/tools/calculator.tool.ts index 84218b01..0deb15b6 100644 --- a/src/mastra/tools/calculator.tool.ts +++ b/src/mastra/tools/calculator.tool.ts @@ -310,32 +310,29 @@ export const calculatorTool = createTool({ message: z.string().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Calculator tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Calculator tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Calculator tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { expression: input.expression, variablesCount: Object.keys(input.variables ?? {}).length, }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -499,7 +496,7 @@ export const calculatorTool = createTool({ ? `Expression ${output.expression} = ${output.formattedResult}` : output.message ?? `Expression ${output.expression} could not be evaluated`, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Calculator tool completed', { toolCallId, toolName, @@ -507,7 +504,6 @@ export const calculatorTool = createTool({ success: output.success, hasResult: true, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -542,33 +538,30 @@ export const unitConverterTool = createTool({ message: z.string().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Unit Converter tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Unit Converter tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Unit Converter tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { value: input.value, fromUnit: input.fromUnit, toUnit: input.toUnit, }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -699,7 +692,7 @@ export const unitConverterTool = createTool({ : output.message ?? 'Unit conversion failed', }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Unit Converter tool completed', { toolCallId, toolName, @@ -707,7 +700,6 @@ export const unitConverterTool = createTool({ success: output.success, result: output.formattedResult, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -750,27 +742,25 @@ export const matrixCalculatorTool = createTool({ message: z.string().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Matrix Calculator tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Matrix Calculator tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Matrix Calculator tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { operation: input.operation, matrixADims: [ @@ -778,7 +768,6 @@ export const matrixCalculatorTool = createTool({ input.matrixA[0]?.length ?? 0, ], }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -987,7 +976,6 @@ export const matrixCalculatorTool = createTool({ success: output.success, operation: output.operation, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/calendar-tool.ts b/src/mastra/tools/calendar-tool.ts index 84bbff06..8c011461 100644 --- a/src/mastra/tools/calendar-tool.ts +++ b/src/mastra/tools/calendar-tool.ts @@ -1,10 +1,11 @@ import { SpanType, getOrCreateSpan } from '@mastra/core/observability' import { createTool } from '@mastra/core/tools' import { z } from 'zod' +import { readFileSync } from 'fs' import { log } from '../config/logger' -import { BaseToolRequestContext } from './request-context.utils' -import { RequestContext } from '@mastra/core/request-context' +import type { BaseToolRequestContext } from './request-context.utils' +import type { RequestContext } from '@mastra/core/request-context' export interface CalendarEvent { @@ -16,6 +17,12 @@ export interface CalendarEvent { } type CalendarDataFormat = 'auto' | 'json' | 'ics' +type CalendarSourceKind = 'macos-calendar' | 'windows-outlook' | 'ics-file' + +interface CalendarSource { + name: CalendarSourceKind + getEvents: () => CalendarEvent[] +} const calendarAnnotations = { title: 'Calendar Data Lookup', @@ -164,6 +171,55 @@ function parseCalendarJsonEvents(jsonContent: string): CalendarEvent[] { ) } +export function getCalendarSourceKind( + platform: string, + preferredSource?: CalendarSourceKind +): CalendarSourceKind { + if (preferredSource) { + return preferredSource + } + + if (platform === 'darwin') { + return 'macos-calendar' + } + + if (platform === 'win32') { + return 'windows-outlook' + } + + return 'ics-file' +} + +export function createCalendarSource( + platform: string, + preferredSource?: CalendarSourceKind, + icsPath?: string +): CalendarSource { + const sourceKind = getCalendarSourceKind(platform, preferredSource) + + if (sourceKind === 'ics-file') { + return { + name: sourceKind, + getEvents: () => { + const resolvedPath = icsPath ?? process.env.CALENDAR_ICS_PATH + + if (!resolvedPath) { + throw new Error( + 'CALENDAR_ICS_PATH must be set when using the ICS calendar source' + ) + } + + return parseIcsCalendarEvents(readFileSync(resolvedPath, 'utf8')) + }, + } + } + + return { + name: sourceKind, + getEvents: () => [], + } +} + function parseIcsDate(rawValue: string): Date { const value = rawValue.trim() if (!value) { @@ -328,38 +384,34 @@ function createReadOnlyHooks( outputSummary: (output: unknown) => Record ) { return { - onInputStart: ({ toolCallId, messages, abortSignal }: { toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + onInputStart: ({ toolCallId, messages }: { toolCallId: string; messages?: Array }) => { log.info(`${toolLabel} tool input streaming started`, { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }: { inputTextDelta: string; toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }: { inputTextDelta: string; toolCallId: string; messages?: Array }) => { log.info(`${toolLabel} tool received input chunk`, { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }: { input: unknown; toolCallId: string; messages?: Array; abortSignal?: AbortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }: { input: unknown; toolCallId: string; messages?: Array }) => { log.info(`${toolLabel} tool received input`, { toolCallId, inputData: inputSummary(input), - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }: { output?: unknown; toolCallId: string; toolName: string; abortSignal?: AbortSignal }) => { + onOutput: ({ output, toolCallId, toolName }: { output?: unknown; toolCallId: string; toolName: string }) => { log.info(`${toolLabel} tool completed`, { toolCallId, toolName, outputData: outputSummary(output), - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -619,13 +671,14 @@ export const getUpcomingEvents = createTool({ }) try { + const lookaheadDays = inputData.days ?? 7 const allEvents = resolveCalendarEvents( inputData.calendarData, inputData.calendarFormat ?? 'auto' ) const now = new Date() const futureDate = new Date(now) - futureDate.setDate(futureDate.getDate() + inputData.days) + futureDate.setDate(futureDate.getDate() + lookaheadDays) const upcomingEvents = allEvents .filter((event) => event.startDate >= now && event.startDate <= futureDate) diff --git a/src/mastra/tools/coinbase-exchange-crypto.tool.ts b/src/mastra/tools/coinbase-exchange-crypto.tool.ts index 9f0b23db..0a423c98 100644 --- a/src/mastra/tools/coinbase-exchange-crypto.tool.ts +++ b/src/mastra/tools/coinbase-exchange-crypto.tool.ts @@ -127,31 +127,28 @@ export const coinbaseExchangeMarketDataTool = createTool({ inputSchema: coinbaseInputSchema, outputSchema: z.custom(), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Coinbase Exchange market-data input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Coinbase Exchange market-data received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Coinbase Exchange market-data received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, function: input.function, baseCurrency: input.baseCurrency, quoteCurrency: input.quoteCurrency, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -335,14 +332,13 @@ export const coinbaseExchangeMarketDataTool = createTool({ }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const count = countCoinbaseMarketDataItems(output.data) log.info('Coinbase Exchange market-data completed', { toolCallId, toolName, count, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/color-change-tool.ts b/src/mastra/tools/color-change-tool.ts index 57db60b7..134dc89c 100644 --- a/src/mastra/tools/color-change-tool.ts +++ b/src/mastra/tools/color-change-tool.ts @@ -31,28 +31,25 @@ export const colorChangeTool = createTool({ inputSchema: ColorChangeInputSchema, outputSchema: ColorChangeOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Color change tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Color change received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Color change received complete input', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], color: input.color, hook: 'onInputAvailable', }) @@ -149,11 +146,10 @@ export const colorChangeTool = createTool({ ? `Background color changed to ${output.color}` : 'Background color change failed', }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Color change completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, success: output.success, color: output.color, hook: 'onOutput', diff --git a/src/mastra/tools/confirmation.tool.ts b/src/mastra/tools/confirmation.tool.ts index 6e86449e..05844094 100644 --- a/src/mastra/tools/confirmation.tool.ts +++ b/src/mastra/tools/confirmation.tool.ts @@ -24,38 +24,35 @@ const confirmationTool = createTool({ confirmed: z.boolean(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Confirmation tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Confirmation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Confirmation tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { action: input.action }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Confirmation tool completed', { toolCallId, toolName, - outputData: output && 'confirmed' in output ? { confirmed: output.confirmed } : {}, - abortSignal: abortSignal?.aborted, + outputData: + output && 'confirmed' in output ? { confirmed: output.confirmed } : {}, hook: 'onOutput', }) }, @@ -149,7 +146,7 @@ const confirmationTool = createTool({ }) return result - } + }, }) export { confirmationTool } diff --git a/src/mastra/tools/convex-rag.ts b/src/mastra/tools/convex-rag.ts index 4c87d239..acb2953a 100644 --- a/src/mastra/tools/convex-rag.ts +++ b/src/mastra/tools/convex-rag.ts @@ -262,31 +262,28 @@ Features: inputSchema: ConvexDocumentChunkingInputSchema, outputSchema: ConvexDocumentChunkingOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Convex chunker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Convex chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Convex chunker received complete input', { toolCallId, documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, generateEmbeddings: input.generateEmbeddings, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, @@ -486,7 +483,7 @@ Features: })) const finalVectors: number[][] = [] - const finalMetadata: Array> = [] + const finalMetadata: ConvexJsonObject[] = [] const finalIds: string[] = [] if (embeddings.length > 0) { @@ -564,13 +561,12 @@ Features: span?.end() } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Convex chunker completed', { toolCallId, toolName, chunkCount: output.chunkCount, processingTimeMs: output.processingTimeMs, - aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -638,22 +634,20 @@ Features: inputSchema: ConvexDocumentRerankerInputSchema, outputSchema: ConvexDocumentRerankerOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Convex reranker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Convex reranker received complete input', { toolCallId, userQuery: input.userQuery, indexName: input.indexName, topK: input.topK, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, diff --git a/src/mastra/tools/copywriter-agent-tool.ts b/src/mastra/tools/copywriter-agent-tool.ts index e0e0b508..74c128b9 100644 --- a/src/mastra/tools/copywriter-agent-tool.ts +++ b/src/mastra/tools/copywriter-agent-tool.ts @@ -1,5 +1,5 @@ import { SpanType, getOrCreateSpan } from '@mastra/core/observability' -import type { MastraModelOutput } from '@mastra/core/stream' +import type { ChunkType, MastraModelOutput } from '@mastra/core/stream' import type { InferUITool } from '@mastra/core/tools' import { createTool } from '@mastra/core/tools' import type { TracingContext } from '@mastra/core/observability' @@ -9,6 +9,16 @@ import type { BaseToolRequestContext } from './request-context.utils.js' import { copywriterAgent } from '../agents/copywriterAgent' import { log } from '../config/logger' +type CopywriterJsonPrimitive = string | number | boolean | null +type CopywriterJsonValue = + | CopywriterJsonPrimitive + | CopywriterJsonObject + | CopywriterJsonValue[] + +interface CopywriterJsonObject { + [key: string]: CopywriterJsonValue +} + export interface CopywriterRequestContext { mocked?: boolean // placeholder for additional options } @@ -38,8 +48,6 @@ type CopywriterToolOutput = z.infer const copywriterToolFallbackOutput: CopywriterToolOutput = { content: '', contentType: 'general', - title: undefined, - summary: undefined, keyPoints: [], wordCount: 0, } @@ -88,6 +96,39 @@ export const copywriterTool = createTool({ }), outputSchema: copywriterToolOutputSchema, strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('copywriterTool tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('copywriterTool received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('copywriterTool received input', { + toolCallId, + messages: messages ?? [], + inputData: { + topic: input.topic, + contentType: input.contentType, + targetAudience: input.targetAudience, + tone: input.tone, + length: input.length, + hasSpecificRequirements: + typeof input.specificRequirements === 'string' && + input.specificRequirements.trim().length > 0, + }, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context.writer const mastra = context.mastra @@ -158,19 +199,16 @@ export const copywriterTool = createTool({ }) return { + ...copywriterToolFallbackOutput, content: `Unable to generate content: copywriterAgent is not available.`, contentType, - title: undefined, - summary: undefined, - keyPoints: [], - wordCount: 0, } } // Build the prompt with context let prompt = `Create ${length} ${contentType} content about: ${topic}` - if (userId !== undefined) { + if (typeof userId === 'string' && userId.trim().length > 0) { prompt += `\n\nUser: ${userId}` } @@ -246,11 +284,21 @@ export const copywriterTool = createTool({ }, id: 'copywriter-agent', }) - const stream = (await agent.stream(prompt)) as - | MastraModelOutput - | undefined + const stream = await agent.stream(prompt, { + structuredOutput: { + schema: copywriterToolOutputSchema, + }, + onChunk: (chunk: ChunkType) => { + if ( + chunk.type === 'text-delta' && + typeof chunk.payload?.text === 'string' + ) { + contentText += chunk.payload.text + } + }, + }) as MastraModelOutput - if (stream?.textStream && writer) { + if (stream.textStream && writer) { await writer?.custom({ type: 'data-tool-progress', data: { @@ -262,9 +310,9 @@ export const copywriterTool = createTool({ id: 'copywriter-agent', }) await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) - } else if (stream?.fullStream && writer) { + } else if (stream.fullStream && writer) { await writer?.custom({ type: 'data-tool-progress', transient: true, @@ -276,35 +324,14 @@ export const copywriterTool = createTool({ }, id: 'copywriter-agent', }) - await stream.fullStream.pipeTo( - writer as unknown as WritableStream - ) + await stream.fullStream.pipeTo(writer as WritableStream) } - const text = (await stream?.text) ?? '' - const responseObject = - stream?.object ?? - (() => { - try { - return JSON.parse(text) - } catch { - return {} - } - })() - - if ( - Boolean(responseObject) && - typeof responseObject === 'object' - ) { - const obj = responseObject as Record - const contentVal = obj.content - if (typeof contentVal === 'string') { - contentText = contentVal - } else { - contentText = text - } + const structured = await stream.object + if (structured && typeof structured.content === 'string') { + contentText = structured.content } else { - contentText = text + contentText = (await stream.text) ?? contentText } } catch (err) { const msg = err instanceof Error ? err.message : String(err) @@ -324,21 +351,16 @@ export const copywriterTool = createTool({ throw err } } else { - const response = await agent.generate(prompt) - const responseObject = - response.object ?? - (() => { - try { - return JSON.parse(response.text) - } catch { - return undefined - } - })() - const obj = responseObject as - | Record - | undefined - if (obj && typeof obj.content === 'string') { - contentText = obj.content + const response = await agent.generate(prompt, { + structuredOutput: { + schema: copywriterToolOutputSchema, + }, + }) + if ( + response.object && + typeof response.object.content === 'string' + ) { + contentText = response.object.content } else { contentText = response.text } @@ -361,7 +383,7 @@ export const copywriterTool = createTool({ // Extract title if present (look for # or ## at start) const titleMatch = /^#{1,2}\s+(.+)$/m.exec(content) - const title = titleMatch ? titleMatch[1] : undefined + const title = titleMatch ? titleMatch[1] : null // Create a simple summary from the first paragraph or first few sentences const firstParagraph = @@ -372,7 +394,13 @@ export const copywriterTool = createTool({ : firstParagraph span?.update({ - output: { content, contentType, title, wordCount }, + output: { + content, + contentType, + wordCount, + ...(title ? { title } : {}), + ...(summary ? { summary } : {}), + }, metadata: { 'tool.output.success': true, 'tool.output.wordCount': wordCount, @@ -384,9 +412,9 @@ export const copywriterTool = createTool({ return { content, contentType, - title, - summary, - keyPoints: [], // Could be enhanced to extract key points + ...(title ? { title } : {}), + ...(summary ? { summary } : {}), + keyPoints: [], wordCount, } } catch (error) { @@ -401,74 +429,52 @@ export const copywriterTool = createTool({ error: error instanceof Error ? error : new Error(errorMsg), endSpan: true, }) - throw new Error(`Failed to generate content: ${errorMsg}`, { - cause: error, - }) + + return { + ...copywriterToolFallbackOutput, + content: `Failed to generate content: ${errorMsg}`, + contentType, + } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('copywriterTool tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('copywriterTool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('copywriterTool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - topic: input.topic, - contentType: input.contentType, - targetAudience: input.targetAudience, - tone: input.tone, - length: input.length, - specificRequirements: input.specificRequirements, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output: CopywriterToolOutput) => ({ type: 'content', - value: [ - output.title - ? { - type: 'text' as const, - text: `Title: ${output.title}`, - } - : undefined, - output.summary - ? { - type: 'text' as const, - text: `Summary: ${output.summary}`, - } - : undefined, - output.keyPoints?.length - ? { - type: 'text' as const, - text: `Key points:\n- ${output.keyPoints.join('\n- ')}`, - } - : undefined, - { - type: 'text' as const, - text: output.content, - }, - ].filter( - (part): part is { type: 'text'; text: string } => Boolean(part) - ), + value: (() => { + const keyPoints = output.keyPoints ?? [] + + return [ + ...(output.title + ? [ + { + type: 'text' as const, + text: `Title: ${output.title}`, + }, + ] + : []), + ...(output.summary + ? [ + { + type: 'text' as const, + text: `Summary: ${output.summary}`, + }, + ] + : []), + ...(keyPoints.length > 0 + ? [ + { + type: 'text' as const, + text: `Key points:\n- ${keyPoints.join('\n- ')}`, + }, + ] + : []), + { + type: 'text' as const, + text: output.content, + }, + ] + })(), }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('copywriterTool completed', { toolCallId, toolName, @@ -479,7 +485,6 @@ export const copywriterTool = createTool({ keyPoints: output.keyPoints, wordCount: output.wordCount, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/csv-to-json.tool.ts b/src/mastra/tools/csv-to-json.tool.ts index 588cf9fe..45c73f9b 100644 --- a/src/mastra/tools/csv-to-json.tool.ts +++ b/src/mastra/tools/csv-to-json.tool.ts @@ -70,6 +70,35 @@ export const csvToJsonTool = createTool({ z.union([z.record(z.string(), csvJsonValueSchema), z.array(csvJsonValueSchema)]) ), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('CSV to JSON tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('CSV to JSON tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + const source = (input.filePath ?? '') !== '' + ? `file:${input.filePath ?? ''}` + : 'raw CSV data' + const options = input.options ?? {} + log.info('CSV to JSON received complete input', { + toolCallId, + messages: messages ?? [], + source, + delimiter: options.delimiter, + columns: options.columns, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context.writer const requestContext = context.requestContext as @@ -180,7 +209,7 @@ export const csvToJsonTool = createTool({ columns: options.columns, trim: options.trim, skip_empty_lines: options.skip_empty_lines, - }) as Array | unknown[]> + }) as Array if (maxRows !== undefined && records.length > maxRows) { throw new Error( @@ -250,51 +279,15 @@ export const csvToJsonTool = createTool({ throw error } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('CSV to JSON tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('CSV to JSON tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - const source = (input.filePath ?? '') !== '' - ? `file:${input.filePath ?? ''}` - : 'raw CSV data' - const options = input.options ?? {} - log.info('CSV to JSON received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - source, - delimiter: options.delimiter, - columns: options.columns, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'json', - value: { - recordCount: output.length, - sampleRows: output.slice(0, 3), - }, + value: output, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const recordsProcessed = Array.isArray(output) ? output.length : 0 log.info('CSV to JSON conversion completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, recordsProcessed, hook: 'onOutput', }) diff --git a/src/mastra/tools/cytoscape.tool.ts b/src/mastra/tools/cytoscape.tool.ts index 993f2278..63a6096e 100644 --- a/src/mastra/tools/cytoscape.tool.ts +++ b/src/mastra/tools/cytoscape.tool.ts @@ -82,6 +82,26 @@ export const cytoscapeTool = createTool({ }), }), strict: true, + onInputStart: ({ toolCallId }) => { + log.info('Cytoscape generator tool input streaming started', { + toolCallId, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId }) => { + log.info('Cytoscape generator tool received input chunk', { + toolCallId, + inputTextDelta, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId }) => { + log.info('Cytoscape generator tool received input', { + toolCallId, + inputData: input, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const { nodes, edges, layout } = input const writer = context?.writer @@ -275,26 +295,6 @@ export const cytoscapeTool = createTool({ type: 'json', value: output, }), - onInputStart: ({ toolCallId }) => { - log.info('Cytoscape generator tool input streaming started', { - toolCallId, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId }) => { - log.info('Cytoscape generator tool received input chunk', { - toolCallId, - inputTextDelta, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId }) => { - log.info('Cytoscape generator tool received input', { - toolCallId, - inputData: input, - hook: 'onInputAvailable', - }) - }, onOutput: ({ output, toolCallId, toolName }) => { log.info('Cytoscape generator tool completed', { toolCallId, diff --git a/src/mastra/tools/data/acp.md b/src/mastra/tools/data/acp.md new file mode 100644 index 00000000..5c32aeed --- /dev/null +++ b/src/mastra/tools/data/acp.md @@ -0,0 +1,223 @@ +## ACP (Agent Client Protocol) + +[ACP (Agent Client Protocol)](https://agentclientprotocol.com/) is an open protocol that enables seamless communication between AI agents and client applications. + +The ACP provider bridges ACP agents (like Claude Code, Gemini CLI, Codex CLI, and **[many more](https://agentclientprotocol.com/overview/agents)**) to the AI SDK by communicating with them via the Agent Client Protocol and exposing them through the `LanguageModel` interface, enabling you to build web applications and Node.js services with ACP agents. + +## Key Features + +- **Multiple Agent Support**: Works with Claude Code, Gemini CLI, Codex CLI, and other ACP-compatible agents +- **MCP Server Integration**: Connect MCP (Model Context Protocol) servers to enhance agent capabilities +- **Tool Execution**: Agents can execute tools and report results through the AI SDK interface +- **Process Management**: Automatic spawning and lifecycle management of agent processes + +Learn more about ACP in the [Agent Client Protocol Documentation](https://agentclientprotocol.com/). + +## Setup + +The ACP provider is available in the `@mcpc-tech/acp-ai-provider` module. You can install it with: + +```bash +npm install @mcpc-tech/acp-ai-provider +``` + +## Provider Instance + +To create an ACP provider instance, use the `createACPProvider` function: + +```typescript +import { createACPProvider } from '@mcpc-tech/acp-ai-provider'; + +const provider = createACPProvider({ + command: 'gemini', + args: ['--experimental-acp'], + session: { + cwd: process.cwd(), + mcpServers: [], + }, +}); +``` + +### Configuration Options + +The provider accepts the following configuration: + +- **command** *string* (required) + The command to execute the ACP agent (e.g., `'gemini'`, `'claude-code-acp'`, `'codex-acp'`). +- **args** *string\[\]* (optional) + Arguments to pass to the command (e.g., `['--experimental-acp']`). +- **env** *Record* (optional) + Environment variables for the agent process. +- **session** *ACPSessionConfig* (required) + Session configuration including: + - `cwd`: Working directory for the agent + - `mcpServers`: Array of MCP server configurations to provide tools to the agent +- **authMethodId** *string* (optional) + Authentication method ID to use if required by the ACP agent. + +## Language Models + +The ACP provider exposes a single language model that represents the configured ACP agent: + +```typescript +const model = provider.languageModel(); +``` + +> **Note**: Currently, you cannot select a specific model. See [Limitations](#limitations) for more details. + +## Examples + +### Text Generation + +```javascript +import { createACPProvider } from '@mcpc-tech/acp-ai-provider'; +import { generateText } from 'ai'; + +const provider = createACPProvider({ + command: 'gemini', + args: ['--experimental-acp'], + session: { + cwd: process.cwd(), + mcpServers: [], + }, +}); + +const { text } = await generateText({ + model: provider.languageModel(), + prompt: 'What is the Agent Client Protocol?', +}); + +console.log(text); +``` + +### Streaming Text + +```javascript +import { createACPProvider } from '@mcpc-tech/acp-ai-provider'; +import { streamText } from 'ai'; + +const provider = createACPProvider({ + command: 'claude-code-acp', + session: { + cwd: process.cwd(), + mcpServers: [], + }, +}); + +const { textStream } = streamText({ + model: provider.languageModel(), + prompt: 'Write a simple Hello World program', +}); + +for await (const chunk of textStream) { + process.stdout.write(chunk); +} +``` + +### Using with MCP Servers (Tools) + +Tools are provided to ACP agents through MCP (Model Context Protocol) servers, not through the AI SDK's `tools` parameter: + +```javascript +import { createACPProvider } from '@mcpc-tech/acp-ai-provider'; +import { generateText } from 'ai'; + +const provider = createACPProvider({ + command: 'gemini', + args: ['--experimental-acp'], + session: { + cwd: process.cwd(), + mcpServers: [ + { + type: 'stdio', + name: 'filesystem', + command: 'npx', + args: ['-y', '@modelcontextprotocol/server-filesystem', '/tmp'], + }, + ], + }, +}); + +const result = await generateText({ + model: provider.languageModel(), + prompt: 'List files in /tmp', +}); +``` + +## Working with Tools + +The ACP provider handles tool execution through provider-defined tools. Tools are called and executed by the ACP agent, and results are reported back through the AI SDK's streaming interface. + +To stream tool calls, pass the provider tools to the AI SDK: + +```javascript +const result = await generateText({ + model: provider.languageModel(), + prompt: 'List files in /tmp', + tools: provider.tools, +}); +``` + +Tool calls follow this structure: + +```typescript +{ + toolCallId: string; // Unique ID of the tool call + toolName: string; // Name of the tool being called + args: Record; // Input arguments +} +``` + +## Advanced Features + +### Multiple Agent Support + +The ACP provider works with various ACP-compatible agents: + +- **Gemini CLI**: Use `command: 'gemini'` with `args: ['--experimental-acp']` +- **Claude Code**: Use `command: 'claude-code-acp'` +- **Codex CLI**: Use `command: 'codex-acp'` +- **[And many more...](https://agentclientprotocol.com/overview/agents)**: See the official ACP agents page for the complete list of supported agents + +### Custom Authentication + +Some agents require authentication. Specify the auth method ID: + +```typescript +const provider = createACPProvider({ + command: 'gemini', + args: ['--experimental-acp'], + authMethodId: 'gemini-api-key', + session: { + cwd: process.cwd(), + mcpServers: [], + }, +}); +``` + +### Process Environment Variables + +Pass environment variables to the agent process: + +```typescript +const provider = createACPProvider({ + command: 'gemini', + args: ['--experimental-acp'], + env: { + GEMINI_API_KEY: process.env.GEMINI_API_KEY, + DEBUG: 'true', + }, + session: { + cwd: process.cwd(), + mcpServers: [], + }, +}); +``` + +## Limitations + +- **Tool Definition**: Tools must be provided through MCP servers in the session configuration, not through the AI SDK's `tools` parameter +- **Process Lifecycle**: Each language model instance spawns a new agent process; ensure proper cleanup +- **Node.js Only**: Currently supports Node.js environments with child process capabilities +- **File Operations**: Basic file operation support through ACP's client interface +- **Model Selection**: Currently, model selection is not yet supported. See [https://github.com/agentclientprotocol/agent-client-protocol/pull/182](https://github.com/agentclientprotocol/agent-client-protocol/pull/182) for updates on this feature \ No newline at end of file diff --git a/src/mastra/tools/data/google.md b/src/mastra/tools/data/google.md new file mode 100644 index 00000000..b084bc1b --- /dev/null +++ b/src/mastra/tools/data/google.md @@ -0,0 +1,1152 @@ +## Google Generative AI Provider + +The [Google Generative AI](https://ai.google.dev/) provider contains language and embedding model support for the [Google Generative AI](https://ai.google.dev/api/rest) APIs. + +## Setup + +The Google provider is available in the `@ai-sdk/google` module. You can install it with + +```bash +npm install @ai-sdk/google +``` + +## Provider Instance + +You can import the default provider instance `google` from `@ai-sdk/google`: + +```ts +import { google } from '@ai-sdk/google'; +``` + +If you need a customized setup, you can import `createGoogleGenerativeAI` from `@ai-sdk/google` and create a provider instance with your settings: + +```ts +import { createGoogleGenerativeAI } from '@ai-sdk/google'; + +const google = createGoogleGenerativeAI({ + // custom settings +}); +``` + +You can use the following optional settings to customize the Google Generative AI provider instance: + +- **baseURL** *string* + Use a different URL prefix for API calls, e.g. to use proxy servers. The default prefix is `https://generativelanguage.googleapis.com/v1beta`. +- **apiKey** *string* + API key that is being sent using the `x-goog-api-key` header. It defaults to the `GOOGLE_GENERATIVE_AI_API_KEY` environment variable. +- **headers** *Record* + Custom headers to include in the requests. +- **fetch** *(input: RequestInfo, init?: RequestInit) => Promise* + Custom [fetch](https://developer.mozilla.org/en-US/docs/Web/API/fetch) implementation. Defaults to the global `fetch` function. You can use it as a middleware to intercept requests, or to provide a custom fetch implementation for e.g. testing. +- **generateId** *() => string* + Optional function to generate unique IDs for each request. Defaults to the SDK's built-in ID generator. +- **name** *string* + Custom provider name. Defaults to `'google.generative-ai'`. + +## Language Models + +You can create models that call the [Google Generative AI API](https://ai.google.dev/api/rest) using the provider instance. The first argument is the model id, e.g. `gemini-2.5-flash`. The models support tool calls and some have multi-modal capabilities. + +```ts +const model = google('gemini-2.5-flash'); +``` + +You can use Google Generative AI language models to generate text with the `generateText` function: + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text } = await generateText({ + model: google('gemini-2.5-flash'), + prompt: 'Write a vegetarian lasagna recipe for 4 people.', +}); +``` + +Google Generative AI language models can also be used in the `streamText` function and support structured data generation with [`Output`](https://ai-sdk.dev/docs/reference/ai-sdk-core/output) (see [AI SDK Core](https://ai-sdk.dev/docs/ai-sdk-core)). + +Google Generative AI also supports some model specific settings that are not part of the [standard call settings](https://ai-sdk.dev/docs/ai-sdk-core/settings). You can pass them as an options argument: + +```ts +import { google, type GoogleLanguageModelOptions } from '@ai-sdk/google'; + +const model = google('gemini-2.5-flash'); + +await generateText({ + model, + providerOptions: { + google: { + safetySettings: [ + { + category: 'HARM_CATEGORY_UNSPECIFIED', + threshold: 'BLOCK_LOW_AND_ABOVE', + }, + ], + } satisfies GoogleLanguageModelOptions, + }, +}); +``` + +The following optional provider options are available for Google Generative AI models: + +- **cachedContent** *string* + Optional. The name of the cached content used as context to serve the prediction. Format: cachedContents/{cachedContent} +- **structuredOutputs** *boolean* + Optional. Enable structured output. Default is true. + This is useful when the JSON Schema contains elements that are not supported by the OpenAPI schema version that Google Generative AI uses. You can use this to disable structured outputs if you need to. + See [Troubleshooting: Schema Limitations](#schema-limitations) for more details. +- **safetySettings** *Array<{ category: string; threshold: string }>* + Optional. Safety settings for the model. + - **category** *string* + The category of the safety setting. Can be one of the following: + - `HARM_CATEGORY_UNSPECIFIED` + - `HARM_CATEGORY_HATE_SPEECH` + - `HARM_CATEGORY_DANGEROUS_CONTENT` + - `HARM_CATEGORY_HARASSMENT` + - `HARM_CATEGORY_SEXUALLY_EXPLICIT` + - `HARM_CATEGORY_CIVIC_INTEGRITY` + - **threshold** *string* + The threshold of the safety setting. Can be one of the following: + - `HARM_BLOCK_THRESHOLD_UNSPECIFIED` + - `BLOCK_LOW_AND_ABOVE` + - `BLOCK_MEDIUM_AND_ABOVE` + - `BLOCK_ONLY_HIGH` + - `BLOCK_NONE` + - `OFF` +- **responseModalities** *string\[\]* The modalities to use for the response. The following modalities are supported: `TEXT`, `IMAGE`. When not defined or empty, the model defaults to returning only text. +- **thinkingConfig** *{ thinkingLevel?: 'minimal' | 'low' | 'medium' | 'high'; thinkingBudget?: number; includeThoughts?: boolean }* + Optional. Configuration for the model's thinking process. Only supported by specific [Google Generative AI models](https://ai.google.dev/gemini-api/docs/thinking). + - **thinkingLevel** *'minimal' | 'low' | 'medium' | 'high'* + Optional. Controls the thinking depth for Gemini 3 models. Gemini 3.1 Pro supports 'low', 'medium', and 'high', Gemini 3 Pro supports 'low' and 'high', while Gemini 3 Flash supports all four levels: 'minimal', 'low', 'medium', and 'high'. Only supported by Gemini 3 models. + - **thinkingBudget** *number* + Optional. Gives the model guidance on the number of thinking tokens it can use when generating a response. Setting it to 0 disables thinking, if the model supports it. For more information about the possible value ranges for each model see [Google Generative AI thinking documentation](https://ai.google.dev/gemini-api/docs/thinking#set-budget). + This option is for Gemini 2.5 models. Gemini 3 models should use `thinkingLevel` instead. + - **includeThoughts** *boolean* + Optional. If set to true, thought summaries are returned, which are synthesized versions of the model's raw thoughts and offer insights into the model's internal reasoning process. +- **imageConfig** *{ aspectRatio?: string, imageSize?: string }* + Optional. Configuration for the models image generation. Only supported by specific [Google Generative AI models](https://ai.google.dev/gemini-api/docs/image-generation). + - **aspectRatio** *string* + Model defaults to generate 1:1 squares, or to matching the output image size to that of your input image. Can be one of the following: + - 1:1 + - 2:3 + - 3:2 + - 3:4 + - 4:3 + - 4:5 + - 5:4 + - 9:16 + - 16:9 + - 21:9 + - **imageSize** *string* + Controls the output image resolution. Defaults to 1K. Can be one of the following: + - 1K + - 2K + - 4K +- **audioTimestamp** *boolean* + Optional. Enables timestamp understanding for audio-only files. See [Google Cloud audio understanding documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/audio-understanding). +- **mediaResolution** *string* + Optional. If specified, the media resolution specified will be used. Can be one of the following: + - `MEDIA_RESOLUTION_UNSPECIFIED` + - `MEDIA_RESOLUTION_LOW` + - `MEDIA_RESOLUTION_MEDIUM` + - `MEDIA_RESOLUTION_HIGH` + See [Google API MediaResolution documentation](https://ai.google.dev/api/generate-content#MediaResolution). +- **labels** *Record* + Optional. Defines labels used in billing reports. Available on Vertex AI only. See [Google Cloud labels documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/add-labels-to-api-calls). +- **serviceTier** *'standard' | 'flex' | 'priority'* + Optional. The service tier to use for the request. Set to 'flex' for 50% cheaper processing at the cost of increased latency. Set to 'priority' for ultra-low latency at a 75-100% price premium over 'standard'. +- **threshold** *string* + Optional. Standalone threshold setting that can be used independently of `safetySettings`. Uses the same values as the `safetySettings` threshold. + +### Thinking + +The Gemini 2.5 and Gemini 3 series models use an internal "thinking process" that significantly improves their reasoning and multi-step planning abilities, making them highly effective for complex tasks such as coding, advanced mathematics, and data analysis. For more information see [Google Generative AI thinking documentation](https://ai.google.dev/gemini-api/docs/thinking). + +#### Gemini 3 Models + +For Gemini 3 models, use the `thinkingLevel` parameter to control the depth of reasoning: + +```ts +import { google, GoogleLanguageModelOptions } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const model = google('gemini-3.1-pro-preview'); + +const { text, reasoning } = await generateText({ + model: model, + prompt: 'What is the sum of the first 10 prime numbers?', + providerOptions: { + google: { + thinkingConfig: { + thinkingLevel: 'high', + includeThoughts: true, + }, + } satisfies GoogleLanguageModelOptions, + }, +}); + +console.log(text); + +console.log(reasoning); // Reasoning summary +``` + +#### Gemini 2.5 Models + +For Gemini 2.5 models, use the `thinkingBudget` parameter to control the number of thinking tokens: + +```ts +import { google, GoogleLanguageModelOptions } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const model = google('gemini-2.5-flash'); + +const { text, reasoning } = await generateText({ + model: model, + prompt: 'What is the sum of the first 10 prime numbers?', + providerOptions: { + google: { + thinkingConfig: { + thinkingBudget: 8192, + includeThoughts: true, + }, + } satisfies GoogleLanguageModelOptions, + }, +}); + +console.log(text); + +console.log(reasoning); // Reasoning summary +``` + +### File Inputs + +The Google Generative AI provider supports file inputs, e.g. PDF files. + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const result = await generateText({ + model: google('gemini-2.5-flash'), + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: 'What is an embedding model according to this document?', + }, + { + type: 'file', + data: fs.readFileSync('./data/ai.pdf'), + mediaType: 'application/pdf', + }, + ], + }, + ], +}); +``` + +You can also use YouTube URLs directly: + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const result = await generateText({ + model: google('gemini-2.5-flash'), + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: 'Summarize this video', + }, + { + type: 'file', + data: 'https://www.youtube.com/watch?v=dQw4w9WgXcQ', + mediaType: 'video/mp4', + }, + ], + }, + ], +}); +``` + +The AI SDK will automatically download URLs if you pass them as data, except for `https://generativelanguage.googleapis.com/v1beta/files/` and YouTube URLs. You can use the Google Generative AI Files API to upload larger files to that location. YouTube URLs (public or unlisted videos) are supported directly + +- you can specify one YouTube video URL per request. + +See [File Parts](https://ai-sdk.dev/docs/foundations/prompts#file-parts) for details on how to use files in prompts. + +### Cached Content + +Google Generative AI supports both explicit and implicit caching to help reduce costs on repetitive content. + +#### Implicit Caching + +Gemini 2.5 models automatically provide cache cost savings without needing to create an explicit cache. When you send requests that share common prefixes with previous requests, you'll receive a 75% token discount on cached content. + +To maximize cache hits with implicit caching: + +- Keep content at the beginning of requests consistent +- Add variable content (like user questions) at the end of prompts +- Ensure requests meet minimum token requirements: + - Gemini 2.5 Flash: 1024 tokens minimum + - Gemini 2.5 Pro: 2048 tokens minimum + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +// Structure prompts with consistent content at the beginning +const baseContext = + 'You are a cooking assistant with expertise in Italian cuisine. Here are 1000 lasagna recipes for reference...'; + +const { text: veggieLasagna } = await generateText({ + model: google('gemini-2.5-pro'), + prompt: \`${baseContext}\n\nWrite a vegetarian lasagna recipe for 4 people.\`, +}); + +// Second request with same prefix - eligible for cache hit +const { text: meatLasagna, providerMetadata } = await generateText({ + model: google('gemini-2.5-pro'), + prompt: \`${baseContext}\n\nWrite a meat lasagna recipe for 12 people.\`, +}); + +// Check cached token count in usage metadata +console.log('Cached tokens:', providerMetadata.google); +// e.g. +// { +// groundingMetadata: null, +// safetyRatings: null, +// usageMetadata: { +// cachedContentTokenCount: 2027, +// thoughtsTokenCount: 702, +// promptTokenCount: 2152, +// candidatesTokenCount: 710, +// totalTokenCount: 3564 +// } +// } +``` + +Usage metadata was added to `providerMetadata` in `@ai-sdk/google@1.2.23`. If you are using an older version, usage metadata is available in the raw HTTP `response` body returned as part of the return value from `generateText`. + +#### Explicit Caching + +For guaranteed cost savings, you can still use explicit caching with Gemini 2.5 and 2.0 models. See the [models page](https://ai.google.dev/gemini-api/docs/models) to check if caching is supported for the used model: + +```ts +import { google, type GoogleLanguageModelOptions } from '@ai-sdk/google'; +import { GoogleGenAI } from '@google/genai'; +import { generateText } from 'ai'; + +const ai = new GoogleGenAI({ + apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY, +}); + +const model = 'gemini-2.5-pro'; + +// Create a cache with the content you want to reuse +const cache = await ai.caches.create({ + model, + config: { + contents: [ + { + role: 'user', + parts: [{ text: '1000 Lasagna Recipes...' }], + }, + ], + ttl: '300s', // Cache expires after 5 minutes + }, +}); + +const { text: veggieLasagnaRecipe } = await generateText({ + model: google(model), + prompt: 'Write a vegetarian lasagna recipe for 4 people.', + providerOptions: { + google: { + cachedContent: cache.name, + } satisfies GoogleLanguageModelOptions, + }, +}); + +const { text: meatLasagnaRecipe } = await generateText({ + model: google(model), + prompt: 'Write a meat lasagna recipe for 12 people.', + providerOptions: { + google: { + cachedContent: cache.name, + } satisfies GoogleLanguageModelOptions, + }, +}); +``` + +### Code Execution + +With [Code Execution](https://ai.google.dev/gemini-api/docs/code-execution), certain models can generate and execute Python code to perform calculations, solve problems, or provide more accurate information. + +You can enable code execution by adding the `code_execution` tool to your request. + +```ts +import { google } from '@ai-sdk/google'; +import { googleTools } from '@ai-sdk/google/internal'; +import { generateText } from 'ai'; + +const { text, toolCalls, toolResults } = await generateText({ + model: google('gemini-2.5-pro'), + tools: { code_execution: google.tools.codeExecution({}) }, + prompt: 'Use python to calculate the 20th fibonacci number.', +}); +``` + +The response will contain the tool calls and results from the code execution. + +### Google Search + +With [Google Search grounding](https://ai.google.dev/gemini-api/docs/google-search), the model has access to the latest information using Google Search. + +```ts +import { google } from '@ai-sdk/google'; +import { GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text, sources, providerMetadata } = await generateText({ + model: google('gemini-2.5-flash'), + tools: { + google_search: google.tools.googleSearch({}), + }, + prompt: + 'List the top 5 San Francisco news from the past week.' + + 'You must include the date of each article.', +}); + +// access the grounding metadata. Casting to the provider metadata type +// is optional but provides autocomplete and type safety. +const metadata = providerMetadata?.google as + | GoogleGenerativeAIProviderMetadata + | undefined; +const groundingMetadata = metadata?.groundingMetadata; +const safetyRatings = metadata?.safetyRatings; +``` + +The `googleSearch` tool accepts the following optional configuration options: + +- **searchTypes** *object* + Enables specific search types. Both can be combined. + - `webSearch`: Enable web search grounding (pass `{}` to enable). This is the default. + - `imageSearch`: Enable [image search grounding](https://ai.google.dev/gemini-api/docs/image-generation#image-search) (pass `{}` to enable). +- **timeRangeFilter** *object* + Restricts search results to a specific time range. Both `startTime` and `endTime` are required. + - `startTime`: Start time in ISO 8601 format (e.g. `'2025-01-01T00:00:00Z'`). + - `endTime`: End time in ISO 8601 format (e.g. `'2025-12-31T23:59:59Z'`). + +```ts +google.tools.googleSearch({ + searchTypes: { webSearch: {} }, + timeRangeFilter: { + startTime: '2025-01-01T00:00:00Z', + endTime: '2025-12-31T23:59:59Z', + }, +}); +``` + +When Google Search grounding is enabled, the model will include sources in the response. + +Additionally, the grounding metadata includes detailed information about how search results were used to ground the model's response. Here are the available fields: + +- **`webSearchQueries`** (`string[] | null`) + - Array of search queries used to retrieve information + - Example: `["What's the weather in Chicago this weekend?"]` +- **`searchEntryPoint`** (`{ renderedContent: string } | null`) + - Contains the main search result content used as an entry point + - The `renderedContent` field contains the formatted content +- **`groundingSupports`** (Array of support objects | null) + - Contains details about how specific response parts are supported by search results + - Each support object includes: + - **`segment`**: Information about the grounded text segment + - `text`: The actual text segment + - `startIndex`: Starting position in the response + - `endIndex`: Ending position in the response + - **`groundingChunkIndices`**: References to supporting search result chunks + - **`confidenceScores`**: Confidence scores (0-1) for each supporting chunk + +Example response: + +```json +{ + "groundingMetadata": { + "webSearchQueries": ["What's the weather in Chicago this weekend?"], + "searchEntryPoint": { + "renderedContent": "..." + }, + "groundingSupports": [ + { + "segment": { + "startIndex": 0, + "endIndex": 65, + "text": "Chicago weather changes rapidly, so layers let you adjust easily." + }, + "groundingChunkIndices": [0], + "confidenceScores": [0.99] + } + ] + } +} +``` + +### Enterprise Web Search + +With [Enterprise Web Search](https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/web-grounding-enterprise), the model has access to a compliance-focused web index designed for highly-regulated industries such as finance, healthcare, and public sector. + +Enterprise Web Search is only available on Vertex AI. You must use the Google Vertex provider (`@ai-sdk/google-vertex`) instead of the standard Google provider (`@ai-sdk/google`) to use this feature. Requires Gemini 2.0 or newer models. + +```ts +import { createVertex } from '@ai-sdk/google-vertex'; +import { generateText } from 'ai'; + +const vertex = createVertex({ + project: 'my-project', + location: 'us-central1', +}); + +const { text, sources, providerMetadata } = await generateText({ + model: vertex('gemini-2.5-flash'), + tools: { + enterprise_web_search: vertex.tools.enterpriseWebSearch({}), + }, + prompt: 'What are the latest regulatory updates for financial services?', +}); +``` + +Enterprise Web Search provides the following benefits: + +- Does not log customer data +- Supports VPC service controls +- Compliance-focused web index for regulated industries + +### File Search + +The [File Search tool](https://ai.google.dev/gemini-api/docs/file-search) lets Gemini retrieve context from your own documents that you have indexed in File Search stores. Only Gemini 2.5 and Gemini 3 models support this feature. + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text, sources } = await generateText({ + model: google('gemini-2.5-pro'), + tools: { + file_search: google.tools.fileSearch({ + fileSearchStoreNames: [ + 'projects/my-project/locations/us/fileSearchStores/my-store', + ], + metadataFilter: 'author = "Robert Graves"', + topK: 8, + }), + }, + prompt: "Summarise the key themes of 'I, Claudius'.", +}); +``` + +File Search responses include citations via the normal `sources` field and expose raw [grounding metadata](#google-search) in `providerMetadata.google.groundingMetadata`. + +### URL Context + +Google provides a provider-defined URL context tool. + +The URL context tool allows you to provide specific URLs that you want the model to analyze directly in from the prompt. + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text, sources, providerMetadata } = await generateText({ + model: google('gemini-2.5-flash'), + prompt: \`Based on the document: https://ai.google.dev/gemini-api/docs/url-context. + Answer this question: How many links we can consume in one request?\`, + tools: { + url_context: google.tools.urlContext({}), + }, +}); + +const metadata = providerMetadata?.google as + | GoogleGenerativeAIProviderMetadata + | undefined; +const groundingMetadata = metadata?.groundingMetadata; +const urlContextMetadata = metadata?.urlContextMetadata; +``` + +The URL context metadata includes detailed information about how the model used the URL context to generate the response. Here are the available fields: + +- **`urlMetadata`** (`{ retrievedUrl: string; urlRetrievalStatus: string; }[] | null`) + - Array of URL context metadata + - Each object includes: + - **`retrievedUrl`**: The URL of the context + - **`urlRetrievalStatus`**: The status of the URL retrieval + +Example response: + +```json +{ + "urlMetadata": [ + { + "retrievedUrl": "https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai", + "urlRetrievalStatus": "URL_RETRIEVAL_STATUS_SUCCESS" + } + ] +} +``` + +With the URL context tool, you will also get the `groundingMetadata`. + +```json +"groundingMetadata": { + "groundingChunks": [ + { + "web": { + "uri": "https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai", + "title": "Google Generative AI - AI SDK Providers" + } + } + ], + "groundingSupports": [ + { + "segment": { + "startIndex": 67, + "endIndex": 157, + "text": "**Installation**: Install the \`@ai-sdk/google\` module using your preferred package manager" + }, + "groundingChunkIndices": [ + 0 + ] + }, + ] +} +``` + +You can add up to 20 URLs per request. + +The URL context tool is only supported for Gemini 2.0 Flash models and above. Check the [supported models for URL context tool](https://ai.google.dev/gemini-api/docs/url-context#supported-models). + +#### Combine URL Context with Search Grounding + +You can combine the URL context tool with search grounding to provide the model with the latest information from the web. + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text, sources, providerMetadata } = await generateText({ + model: google('gemini-2.5-flash'), + prompt: \`Based on this context: https://ai-sdk.dev/providers/ai-sdk-providers/google-generative-ai, tell me how to use Gemini with AI SDK. + Also, provide the latest news about AI SDK V5.\`, + tools: { + google_search: google.tools.googleSearch({}), + url_context: google.tools.urlContext({}), + }, +}); + +const metadata = providerMetadata?.google as + | GoogleGenerativeAIProviderMetadata + | undefined; +const groundingMetadata = metadata?.groundingMetadata; +const urlContextMetadata = metadata?.urlContextMetadata; +``` + +### Google Maps Grounding + +With [Google Maps grounding](https://ai.google.dev/gemini-api/docs/maps-grounding), the model has access to Google Maps data for location-aware responses. This enables providing local data and geospatial context, such as finding nearby restaurants. + +```ts +import { google, type GoogleLanguageModelOptions } from '@ai-sdk/google'; +import { GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text, sources, providerMetadata } = await generateText({ + model: google('gemini-2.5-flash'), + tools: { + google_maps: google.tools.googleMaps({}), + }, + providerOptions: { + google: { + retrievalConfig: { + latLng: { latitude: 34.090199, longitude: -117.881081 }, + }, + } satisfies GoogleLanguageModelOptions, + }, + prompt: + 'What are the best Italian restaurants within a 15-minute walk from here?', +}); + +const metadata = providerMetadata?.google as + | GoogleGenerativeAIProviderMetadata + | undefined; +const groundingMetadata = metadata?.groundingMetadata; +``` + +The optional `retrievalConfig.latLng` provider option provides location context for queries about nearby places. This configuration applies to any grounding tools that support location context, including Google Maps and Google Search. + +When Google Maps grounding is enabled, the model's response will include sources pointing to Google Maps URLs. The grounding metadata includes `maps` chunks with place information: + +```json +{ + "groundingMetadata": { + "groundingChunks": [ + { + "maps": { + "uri": "https://maps.google.com/?cid=12345", + "title": "Restaurant Name", + "placeId": "places/ChIJ..." + } + } + ] + } +} +``` + +Google Maps grounding is supported on Gemini 2.0 and newer models. + +### RAG Engine Grounding + +With [RAG Engine Grounding](https://cloud.google.com/vertex-ai/generative-ai/docs/rag-engine/use-vertexai-search#generate-content-using-gemini-api), the model has access to your custom knowledge base using the Vertex RAG Engine. This enables the model to provide answers based on your specific data sources and documents. + +RAG Engine Grounding is only supported with Vertex Gemini models. You must use the Google Vertex provider (`@ai-sdk/google-vertex`) instead of the standard Google provider (`@ai-sdk/google`) to use this feature. + +```ts +import { createVertex } from '@ai-sdk/google-vertex'; +import { GoogleGenerativeAIProviderMetadata } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const vertex = createVertex({ + project: 'my-project', + location: 'us-central1', +}); + +const { text, sources, providerMetadata } = await generateText({ + model: vertex('gemini-2.5-flash'), + tools: { + vertex_rag_store: vertex.tools.vertexRagStore({ + ragCorpus: + 'projects/my-project/locations/us-central1/ragCorpora/my-rag-corpus', + topK: 5, + }), + }, + prompt: + 'What are the key features of our product according to our documentation?', +}); + +// access the grounding metadata. Casting to the provider metadata type +// is optional but provides autocomplete and type safety. +const metadata = providerMetadata?.google as + | GoogleGenerativeAIProviderMetadata + | undefined; +const groundingMetadata = metadata?.groundingMetadata; +const safetyRatings = metadata?.safetyRatings; +``` + +When RAG Engine Grounding is enabled, the model will include sources from your RAG corpus in the response. + +Additionally, the grounding metadata includes detailed information about how RAG results were used to ground the model's response. Here are the available fields: + +- **`groundingChunks`** (Array of chunk objects | null) + - Contains the retrieved context chunks from your RAG corpus + - Each chunk includes: + - **`retrievedContext`**: Information about the retrieved context + - `uri`: The URI or identifier of the source document + - `title`: The title of the source document (optional) + - `text`: The actual text content of the chunk +- **`groundingSupports`** (Array of support objects | null) + - Contains details about how specific response parts are supported by RAG results + - Each support object includes: + - **`segment`**: Information about the grounded text segment + - `text`: The actual text segment + - `startIndex`: Starting position in the response + - `endIndex`: Ending position in the response + - **`groundingChunkIndices`**: References to supporting RAG result chunks + - **`confidenceScores`**: Confidence scores (0-1) for each supporting chunk + +Example response: + +```json +{ + "groundingMetadata": { + "groundingChunks": [ + { + "retrievedContext": { + "uri": "gs://my-bucket/docs/product-guide.pdf", + "title": "Product User Guide", + "text": "Our product includes advanced AI capabilities, real-time processing, and enterprise-grade security features." + } + } + ], + "groundingSupports": [ + { + "segment": { + "startIndex": 0, + "endIndex": 45, + "text": "Our product includes advanced AI capabilities and real-time processing." + }, + "groundingChunkIndices": [0], + "confidenceScores": [0.95] + } + ] + } +} +``` + +#### Configuration Options + +The `vertexRagStore` tool accepts the following configuration options: + +- **`ragCorpus`** (`string`, required) + - The RagCorpus resource name in the format: `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}` + - This identifies your specific RAG corpus to search against +- **`topK`** (`number`, optional) + - The number of top contexts to retrieve from your RAG corpus + - Defaults to the corpus configuration if not specified + +### Image Outputs + +Gemini models with image generation capabilities (e.g. `gemini-2.5-flash-image`) support generating images as part of a multimodal response. Images are exposed as files in the response. + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const result = await generateText({ + model: google('gemini-2.5-flash-image'), + prompt: + 'Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme', +}); + +for (const file of result.files) { + if (file.mediaType.startsWith('image/')) { + console.log('Generated image:', file); + } +} +``` + +If you primarily want to generate images without text output, you can also use Gemini image models with the `generateImage()` function. See [Gemini Image Models](#gemini-image-models) for details. + +### Safety Ratings + +The safety ratings provide insight into the safety of the model's response. See [Google AI documentation on safety settings](https://ai.google.dev/gemini-api/docs/safety-settings). + +Example response excerpt: + +```json +{ + "safetyRatings": [ + { + "category": "HARM_CATEGORY_HATE_SPEECH", + "probability": "NEGLIGIBLE", + "probabilityScore": 0.11027937, + "severity": "HARM_SEVERITY_LOW", + "severityScore": 0.28487435 + }, + { + "category": "HARM_CATEGORY_DANGEROUS_CONTENT", + "probability": "HIGH", + "blocked": true, + "probabilityScore": 0.95422274, + "severity": "HARM_SEVERITY_MEDIUM", + "severityScore": 0.43398145 + }, + { + "category": "HARM_CATEGORY_HARASSMENT", + "probability": "NEGLIGIBLE", + "probabilityScore": 0.11085559, + "severity": "HARM_SEVERITY_NEGLIGIBLE", + "severityScore": 0.19027223 + }, + { + "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "probability": "NEGLIGIBLE", + "probabilityScore": 0.22901751, + "severity": "HARM_SEVERITY_NEGLIGIBLE", + "severityScore": 0.09089675 + } + ] +} +``` + +### Troubleshooting + +#### Schema Limitations + +The Google Generative AI API uses a subset of the OpenAPI 3.0 schema, which does not support features such as unions. The errors that you get in this case look like this: + +`GenerateContentRequest.generation_config.response_schema.properties[occupation].type: must be specified` + +By default, structured outputs are enabled (and for tool calling they are required). You can disable structured outputs for object generation as a workaround: + +```ts +const { output } = await generateText({ + model: google('gemini-2.5-flash'), + providerOptions: { + google: { + structuredOutputs: false, + } satisfies GoogleLanguageModelOptions, + }, + output: Output.object({ + schema: z.object({ + name: z.string(), + age: z.number(), + contact: z.union([ + z.object({ + type: z.literal('email'), + value: z.string(), + }), + z.object({ + type: z.literal('phone'), + value: z.string(), + }), + ]), + }), + }), + prompt: 'Generate an example person for testing.', +}); +``` + +The following Zod features are known to not work with Google Generative AI: + +- `z.union` +- `z.record` + +### Model Capabilities + +| Model | Image Input | Object Generation | Tool Usage | Tool Streaming | Google Search | URL Context | +| --- | --- | --- | --- | --- | --- | --- | +| `gemini-3.1-pro-preview` | | | | | | | +| `gemini-3.1-flash-image-preview` | | | | | | | +| `gemini-3.1-flash-lite-preview` | | | | | | | +| `gemini-3-pro-preview` | | | | | | | +| `gemini-3-pro-image-preview` | | | | | | | +| `gemini-3-flash-preview` | | | | | | | +| `gemini-2.5-pro` | | | | | | | +| `gemini-2.5-flash` | | | | | | | +| `gemini-2.5-flash-lite` | | | | | | | +| `gemini-2.5-flash-lite-preview-06-17` | | | | | | | +| `gemini-2.0-flash` | | | | | | | + +The table above lists popular models. Please see the [Google Generative AI docs](https://ai.google.dev/gemini-api/docs/models/) for a full list of available models. The table above lists popular models. You can also pass any available provider model ID as a string if needed. + +## Gemma Models + +You can use [Gemma models](https://deepmind.google/models/gemma/) with the Google Generative AI API. The following Gemma models are available: + +- `gemma-3-27b-it` +- `gemma-3-12b-it` + +Gemma models don't natively support the `systemInstruction` parameter, but the provider automatically handles system instructions by prepending them to the first user message. This allows you to use system instructions with Gemma models seamlessly: + +```ts +import { google } from '@ai-sdk/google'; +import { generateText } from 'ai'; + +const { text } = await generateText({ + model: google('gemma-3-27b-it'), + system: 'You are a helpful assistant that responds concisely.', + prompt: 'What is machine learning?', +}); +``` + +The system instruction is automatically formatted and included in the conversation, so Gemma models can follow the guidance without any additional configuration. + +## Embedding Models + +You can create models that call the [Google Generative AI embeddings API](https://ai.google.dev/gemini-api/docs/embeddings) using the `.embedding()` factory method. + +```ts +const model = google.embedding('gemini-embedding-001'); +``` + +The Google Generative AI provider sends API calls to the right endpoint based on the type of embedding: + +- **Single embeddings**: When embedding a single value with `embed()`, the provider uses the single `:embedContent` endpoint, which typically has higher rate limits compared to the batch endpoint. +- **Batch embeddings**: When embedding multiple values with `embedMany()` or multiple values in `embed()`, the provider uses the `:batchEmbedContents` endpoint. + +Google Generative AI embedding models support additional settings. You can pass them as an options argument: + +```ts +import { google, type GoogleEmbeddingModelOptions } from '@ai-sdk/google'; +import { embed } from 'ai'; + +const model = google.embedding('gemini-embedding-001'); + +const { embedding } = await embed({ + model, + value: 'sunny day at the beach', + providerOptions: { + google: { + outputDimensionality: 512, // optional, number of dimensions for the embedding + taskType: 'SEMANTIC_SIMILARITY', // optional, specifies the task type for generating embeddings + content: [[{ text: 'additional context' }]], // optional, per-value multimodal content (only 1 here, since \`value\` is only a single one) + } satisfies GoogleEmbeddingModelOptions, + }, +}); +``` + +When using `embedMany`, provide per-value multimodal content via the `content` option. Each entry corresponds to a value at the same index; use `null` for text-only entries: + +```ts +import { google, type GoogleEmbeddingModelOptions } from '@ai-sdk/google'; +import { embedMany } from 'ai'; + +const { embeddings } = await embedMany({ + model: google.embedding('gemini-embedding-2-preview'), + values: ['sunny day at the beach', 'rainy afternoon in the city'], + providerOptions: { + google: { + // content array must have the same length as values + content: [ + [{ inlineData: { mimeType: 'image/png', data: '' } }], // pairs with values[0] + null, // text-only, pairs with values[1] + ], + } satisfies GoogleEmbeddingModelOptions, + }, +}); +``` + +The following optional provider options are available for Google Generative AI embedding models: + +- **outputDimensionality**: *number* + Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. +- **taskType**: *string* + Optional. Specifies the task type for generating embeddings. Supported task types include: + - `SEMANTIC_SIMILARITY`: Optimized for text similarity. + - `CLASSIFICATION`: Optimized for text classification. + - `CLUSTERING`: Optimized for clustering texts based on similarity. + - `RETRIEVAL_DOCUMENT`: Optimized for document retrieval. + - `RETRIEVAL_QUERY`: Optimized for query-based retrieval. + - `QUESTION_ANSWERING`: Optimized for answering questions. + - `FACT_VERIFICATION`: Optimized for verifying factual information. + - `CODE_RETRIEVAL_QUERY`: Optimized for retrieving code blocks based on natural language queries. +- **content**: *array* + Optional. Per-value multimodal content parts for embedding non-text content (images, video, PDF, audio). Each entry corresponds to the embedding value at the same index — its parts are merged with the text value in the request. Use `null` for entries that are text-only. The array length must match the number of values being embedded. Each non-null entry is an array of parts, where each part can be either `{ text: string }` or `{ inlineData: { mimeType: string, data: string } }`. Supported by `gemini-embedding-2-preview`. + +### Model Capabilities + +| Model | Default Dimensions | Custom Dimensions | Multimodal | +| --- | --- | --- | --- | +| `gemini-embedding-001` | 3072 | | | +| `gemini-embedding-2-preview` | 3072 | | | + +## Image Models + +You can create image models that call the Google Generative AI API using the `.image()` factory method. For more on image generation with the AI SDK see [generateImage()](https://ai-sdk.dev/docs/reference/ai-sdk-core/generate-image). + +The Google provider supports two types of image models: + +- **Imagen models**: Dedicated image generation models using the `:predict` API +- **Gemini image models**: Multimodal language models with image output capabilities using the `:generateContent` API + +### Imagen Models + +[Imagen](https://ai.google.dev/gemini-api/docs/imagen) models are dedicated image generation models. + +```ts +import { google } from '@ai-sdk/google'; +import { generateImage } from 'ai'; + +const { image } = await generateImage({ + model: google.image('imagen-4.0-generate-001'), + prompt: 'A futuristic cityscape at sunset', + aspectRatio: '16:9', +}); +``` + +Further configuration can be done using Google provider options. You can validate the provider options using the `GoogleImageModelOptions` type. + +```ts +import { google } from '@ai-sdk/google'; +import { GoogleImageModelOptions } from '@ai-sdk/google'; +import { generateImage } from 'ai'; + +const { image } = await generateImage({ + model: google.image('imagen-4.0-generate-001'), + providerOptions: { + google: { + personGeneration: 'dont_allow', + } satisfies GoogleImageModelOptions, + }, + // ... +}); +``` + +The following provider options are available for Imagen models: + +- **personGeneration** `allow_adult` | `allow_all` | `dont_allow` Whether to allow person generation. Defaults to `allow_adult`. + +Imagen models do not support the `size` parameter. Use the `aspectRatio` parameter instead. + +#### Imagen Model Capabilities + +| Model | Aspect Ratios | +| --- | --- | +| `imagen-4.0-generate-001` | 1:1, 3:4, 4:3, 9:16, 16:9 | +| `imagen-4.0-ultra-generate-001` | 1:1, 3:4, 4:3, 9:16, 16:9 | +| `imagen-4.0-fast-generate-001` | 1:1, 3:4, 4:3, 9:16, 16:9 | + +### Gemini Image Models + +[Gemini image models](https://ai.google.dev/gemini-api/docs/image-generation) (e.g. `gemini-2.5-flash-image`) are technically multimodal output language models, but they can be used with the `generateImage()` function for a simpler image generation experience. Internally, the provider calls the language model API with `responseModalities: ['IMAGE']`. + +```ts +import { google } from '@ai-sdk/google'; +import { generateImage } from 'ai'; + +const { image } = await generateImage({ + model: google.image('gemini-2.5-flash-image'), + prompt: 'A photorealistic image of a cat wearing a wizard hat', + aspectRatio: '1:1', +}); +``` + +Gemini image models also support image editing by providing input images: + +```ts +import { google } from '@ai-sdk/google'; +import { generateImage } from 'ai'; +import fs from 'node:fs'; + +const sourceImage = fs.readFileSync('./cat.png'); + +const { image } = await generateImage({ + model: google.image('gemini-2.5-flash-image'), + prompt: { + text: 'Add a small wizard hat to this cat', + images: [sourceImage], + }, +}); +``` + +You can also use URLs for input images: + +```ts +import { google } from '@ai-sdk/google'; +import { generateImage } from 'ai'; + +const { image } = await generateImage({ + model: google.image('gemini-2.5-flash-image'), + prompt: { + text: 'Add a small wizard hat to this cat', + images: ['https://example.com/cat.png'], + }, +}); +``` + +Gemini image models do not support the `size` or `n` parameters. Use `aspectRatio` instead of `size`. Mask-based inpainting is also not supported. + +For more advanced use cases where you need both text and image outputs, or want more control over the generation process, you can use Gemini image models directly with `generateText()`. See [Image Outputs](#image-outputs) for details. + +#### Gemini Image Model Capabilities + +| Model | Image Generation | Image Editing | Aspect Ratios | +| --- | --- | --- | --- | +| `gemini-2.5-flash-image` | | | 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | +| `gemini-3-pro-image-preview` | | | 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | +| `gemini-3.1-flash-image-preview` | | | 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | + +`gemini-3-pro-image-preview` supports additional features including up to 14 reference images for editing (6 objects, 5 humans), resolution options (1K, 2K, 4K via `providerOptions.google.imageConfig.imageSize`), and Google Search grounding. \ No newline at end of file diff --git a/src/mastra/tools/data/localfilesystem-commands.md b/src/mastra/tools/data/localfilesystem-commands.md new file mode 100644 index 00000000..db6be38f --- /dev/null +++ b/src/mastra/tools/data/localfilesystem-commands.md @@ -0,0 +1,425 @@ +# LocalFilesystem Commands + +## Overview + +The LocalFilesystem class provides a secure filesystem interface for reading and writing files within specified allowed paths. It enforces path restrictions to prevent unauthorized access. + +The following is just examples, you must always import and use the `mainFilesystem` instance from `../workspaces` to ensure proper integration with Mastra's workspace management and path resolution. Do not create separate LocalFilesystem instances or import Node's fs/path modules directly in your tools. + +## Methods + +### init() + +Initialize the filesystem. Creates the base directory if it doesn't exist. + +```typescript +await filesystem.init() +``` + +Called by `workspace.init()`. + +### Lazy initialization + +LocalFilesystem initializes on first operation if not already initialized, creating the base directory automatically. Calling `init()` explicitly is optional but can be useful to pre-create directories before the first operation. + +### destroy() + +Clean up filesystem resources. + +```typescript +await filesystem.destroy() +``` + +Called by `workspace.destroy()`. + +### setAllowedPaths(pathsOrUpdater) + +Update the allowed paths at runtime. Accepts a new paths array (replaces current) or an updater callback that receives the current paths and returns the new set. + +```typescript +// Set directly +filesystem.setAllowedPaths(['/home/user/.config']) + +// Update with callback +filesystem.setAllowedPaths(prev => [...prev, '/home/user/documents']) + +// Clear all allowed paths +filesystem.setAllowedPaths([]) +``` + +**Parameters:** + +### pathsOrUpdater: + +string\[\] | ((current: readonly string\[\]) => string\[\]) + +New allowed paths array or updater function receiving current paths + +### readFile(path, options?) + +Read file contents. + +```typescript +const content = await filesystem.readFile('/docs/guide.md') +const buffer = await filesystem.readFile('/image.png', { encoding: 'binary' }) +``` + +**Parameters:** + +### path: + +string + +File path relative to basePath + +### options?: + +Options + +Configuration options. + +Options + +### encoding?: + +'utf-8' | 'binary' + +Text or binary encoding + +### writeFile(path, content, options?) + +Write content to a file. + +```typescript +await filesystem.writeFile('/docs/new.md', '# New Document') +await filesystem.writeFile('/nested/path/file.md', content, { recursive: true }) +``` + +**Parameters:** + +### path: + +string + +File path relative to basePath + +### content: + +string | Buffer + +File content + +### options?: + +Options + +Configuration options. + +Options + +### recursive?: + +boolean + +Create parent directories if they don't exist + +### overwrite?: + +boolean + +Overwrite existing file + +### expectedMtime?: + +Date + +If provided, the write fails with a StaleFileError when the file's current modification time doesn't match. Use this for optimistic concurrency control to detect external modifications between read and write. + +### appendFile(path, content) + +Append content to an existing file. + +```typescript +await filesystem.appendFile('/logs/app.log', 'New log entry\n') +``` + +**Parameters:** + +### path: + +string + +File path relative to basePath + +### content: + +string | Buffer + +Content to append + +### deleteFile(path, options?) + +Delete a file. + +```typescript +await filesystem.deleteFile('/docs/old.md') +await filesystem.deleteFile('/docs/maybe.md', { force: true }) // Don't throw if missing +``` + +**Parameters:** + +### path: + +string + +File path + +### options?: + +Options + +Configuration options. + +Options + +### force?: + +boolean + +Don't throw error if file doesn't exist + +### copyFile(src, dest, options?) + +Copy a file to a new location. + +```typescript +await filesystem.copyFile('/docs/template.md', '/docs/new-doc.md') +await filesystem.copyFile('/src/config.json', '/backup/config.json', { overwrite: false }) +``` + +**Parameters:** + +### src: + +string + +Source file path + +### dest: + +string + +Destination file path + +### options?: + +Options + +Configuration options. + +Options + +### overwrite?: + +boolean + +Overwrite destination if it exists + +### moveFile(src, dest, options?) + +Move or rename a file. + +```typescript +await filesystem.moveFile('/docs/draft.md', '/docs/final.md') +await filesystem.moveFile('/temp/upload.txt', '/files/document.txt') +``` + +**Parameters:** + +### src: + +string + +Source file path + +### dest: + +string + +Destination file path + +### options?: + +Options + +Configuration options. + +Options + +### overwrite?: + +boolean + +Overwrite destination if it exists + +### mkdir(path, options?) + +Create a directory. + +```typescript +await filesystem.mkdir('/docs/api') +await filesystem.mkdir('/deeply/nested/path', { recursive: true }) +``` + +**Parameters:** + +### path: + +string + +Directory path + +### options?: + +Options + +Configuration options. + +Options + +### recursive?: + +boolean + +Create parent directories + +### rmdir(path, options?) + +Remove a directory. + +```typescript +await filesystem.rmdir('/docs/old') +await filesystem.rmdir('/docs/nested', { recursive: true }) +``` + +**Parameters:** + +### path: + +string + +Directory path + +### options?: + +Options + +Configuration options. + +Options + +### recursive?: + +boolean + +Remove contents recursively + +### force?: + +boolean + +Don't throw if directory doesn't exist + +### readdir(path, options?) + +List directory contents. + +```typescript +const entries = await filesystem.readdir('/docs') +// [{ name: 'guide.md', type: 'file' }, { name: 'api', type: 'directory' }] +``` + +### exists(path) + +Check if a path exists. + +```typescript +const exists = await filesystem.exists('/docs/guide.md') +``` + +### stat(path) + +Get file or directory metadata. + +```typescript +const stat = await filesystem.stat('/docs/guide.md') +// { type: 'file', size: 1234, modifiedAt: Date, createdAt: Date, path: '/docs/guide.md' } +``` + +### getInfo() + +Returns metadata about this filesystem instance. + +```typescript +const info = filesystem.getInfo() +// { id: '...', name: 'LocalFilesystem', provider: 'local', basePath: '/workspace', readOnly: false } +``` + +### getInstructions(opts?) + +Returns a description of how paths work in this filesystem. When assigned to an agent, this is injected into the agent's system message. + +```typescript +const instructions = filesystem.getInstructions() +// 'Local filesystem at "/workspace". Files at workspace path "/foo" are stored at "/workspace/foo" on disk.' +``` + +Pass `requestContext` to enable per-request customization when the `instructions` constructor option is a function: + +```typescript +const instructions = filesystem.getInstructions({ requestContext }) +``` + +**Parameters:** + +### opts.requestContext?: + +RequestContext + +Forwarded to the \`instructions\` function if one was provided in the constructor. + +**Returns:** `string` + +To override the default output, pass an `instructions` option to the constructor + +## Path resolution + +### How basePath works + +The `basePath` option sets the root directory for all file operations. File paths passed to methods like `readFile()` are resolved relative to this base: + +- Leading slashes are stripped: `/docs/guide.md` → `docs/guide.md` +- The path is normalized and joined with basePath +- Result: `./workspace` + `docs/guide.md` → `./workspace/docs/guide.md` + +```typescript +const filesystem = new LocalFilesystem({ + basePath: './workspace', +}) + +// These all resolve to ./workspace/docs/guide.md +await filesystem.readFile('/docs/guide.md') +await filesystem.readFile('docs/guide.md') +``` + +### Relative paths and execution context + +When you use a relative path for `basePath`, it resolves from `process.cwd()`. In Mastra projects, cwd varies depending on how you run your code: + +| Context | Working directory | `./workspace` resolves to | +| --- | --- | --- | +| `mastra dev` | `./src/mastra/public/` | `./src/mastra/public/workspace` | +| `mastra start` | `./.mastra/output/` | `./.mastra/output/workspace` | +| Direct script | Where you ran the command | Relative to that location | + +This can cause confusion when the same relative path resolves to different locations. diff --git a/src/mastra/tools/data/logs/moltbook-commands.md b/src/mastra/tools/data/logs/moltbook-commands.md new file mode 100644 index 00000000..40424aeb --- /dev/null +++ b/src/mastra/tools/data/logs/moltbook-commands.md @@ -0,0 +1,56 @@ +# Moltbook API Command Examples + +These are example commands for interacting with the Moltbook API. These are meant to be run in a terminal with curl installed, and has to be windows format. + +## --- REGISTRATION & AUTH --- + +# Register a new agent (ONE TIME) +curl.exe -X POST https://www.moltbook.com/api/v1/agents/register -H "Content-Type: application/json" -d "{\"name\": \"YourAgentName\", \"description\": \"What you do\"}" + +# Check your agent's claim status +curl.exe https://www.moltbook.com/api/v1/agents/status -H "Authorization: Bearer YOUR_API_KEY" + +# Get your agent profile +curl.exe https://www.moltbook.com/api/v1/agents/me -H "Authorization: Bearer YOUR_API_KEY" + +# --- POSTS --- +# Create a text post +curl.exe -X POST https://www.moltbook.com/api/v1/posts -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"submolt\": \"general\", \"title\": \"Hello!\", \"content\": \"My first post!\"}" + +# Create a link post +curl.exe -X POST https://www.moltbook.com/api/v1/posts -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"submolt\": \"news\", \"title\": \"Cool Article\", \"url\": \"https://example.com\"}" + +# Get your feed (hot posts) +curl.exe "https://www.moltbook.com/api/v1/feed?sort=hot&limit=25" -H "Authorization: Bearer YOUR_API_KEY" + +# Get posts from a specific submolt +curl.exe "https://www.moltbook.com/api/v1/posts?submolt=general&sort=new" -H "Authorization: Bearer YOUR_API_KEY" + +# Get a single post +curl.exe https://www.moltbook.com/api/v1/posts/POST_ID -H "Authorization: Bearer YOUR_API_KEY" + +# Delete one of your posts +curl.exe -X DELETE https://www.moltbook.com/api/v1/posts/POST_ID -H "Authorization: Bearer YOUR_API_KEY" + +# --- COMMENTS & VOTING --- +# Comment on a post +curl.exe -X POST https://www.moltbook.com/api/v1/posts/POST_ID/comments -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"content\": \"Great insight!\"}" + +# Reply to a comment +curl.exe -X POST https://www.moltbook.com/api/v1/posts/POST_ID/comments -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"content\": \"I agree!\", \"parent_id\": \"COMMENT_ID\"}" + +# Get comments on a post +curl.exe "https://www.moltbook.com/api/v1/posts/POST_ID/comments?sort=top" -H "Authorization: Bearer YOUR_API_KEY" + +# Upvote a post +curl.exe -X POST https://www.moltbook.com/api/v1/posts/POST_ID/upvote -H "Authorization: Bearer YOUR_API_KEY" + +# --- COMMUNITIES (SUBMOLTS) --- +# Create a new submolt +curl.exe -X POST https://www.moltbook.com/api/v1/submolts -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d "{\"name\": \"aithoughts\", \"display_name\": \"AI Thoughts\", \"description\": \"For AI musings\"}" + +# List all submolts +curl.exe https://www.moltbook.com/api/v1/submolts -H "Authorization: Bearer YOUR_API_KEY" + +# Subscribe to a submolt +curl.exe -X POST https://www.moltbook.com/api/v1/submolts/aithoughts/subscribe -H "Authorization: Bearer YOUR_API_KEY" diff --git a/src/mastra/tools/datetime.tool.ts b/src/mastra/tools/datetime.tool.ts index 5eb46b81..3006437f 100644 --- a/src/mastra/tools/datetime.tool.ts +++ b/src/mastra/tools/datetime.tool.ts @@ -102,29 +102,26 @@ export const dateTimeTool = createTool({ message: z.string().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('DateTime tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('DateTime tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('DateTime tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { operation: input.operation }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -378,12 +375,10 @@ export const dateTimeTool = createTool({ } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('DateTime tool completed', { toolCallId, toolName, - - abortSignal: abortSignal?.aborted, outputData: { success: output.success, operation: output.operation, @@ -423,29 +418,26 @@ export const timeZoneTool = createTool({ message: z.string().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Timezone tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Timezone tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Timezone tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { operation: input.operation, timezone: input.timezone }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -608,12 +600,10 @@ export const timeZoneTool = createTool({ } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Timezone tool completed', { toolCallId, toolName, - - abortSignal: abortSignal?.aborted, outputData: { success: output.success, operation: output.operation, diff --git a/src/mastra/tools/discord-webhook.tool.ts b/src/mastra/tools/discord-webhook.tool.ts index eda3865f..5f00769a 100644 --- a/src/mastra/tools/discord-webhook.tool.ts +++ b/src/mastra/tools/discord-webhook.tool.ts @@ -2,19 +2,80 @@ import { createTool } from '@mastra/core/tools' import type { InferUITool } from '@mastra/core/tools' import { z } from 'zod' +import { log } from '../config/logger' + +const discordWebhookEmbedFieldSchema = z.object({ + name: z.string().min(1).describe('Embed field name.'), + value: z.string().min(1).describe('Embed field value.'), + inline: z.boolean().optional().describe('Whether the field should render inline.'), +}) + +const discordWebhookEmbedSchema = z.object({ + title: z.string().min(1).optional().describe('Embed title.'), + description: z.string().min(1).optional().describe('Embed body text.'), + url: z.url().optional().describe('Clickable URL for the embed title.'), + color: z + .number() + .int() + .min(0) + .max(0xffffff) + .optional() + .describe('Embed accent color as a 24-bit integer.'), + timestamp: z + .iso.datetime({ offset: true }) + .optional() + .describe('ISO-8601 timestamp shown by Discord.'), + author: z + .object({ + name: z.string().min(1), + url: z.url().optional(), + iconUrl: z.url().optional(), + }) + .optional() + .describe('Optional embed author block.'), + footer: z + .object({ + text: z.string().min(1), + iconUrl: z.url().optional(), + }) + .optional() + .describe('Optional embed footer block.'), + imageUrl: z.url().optional().describe('Main image URL for the embed.'), + thumbnailUrl: z.url().optional().describe('Thumbnail image URL for the embed.'), + fields: z + .array(discordWebhookEmbedFieldSchema) + .max(25) + .optional() + .describe('Optional embed fields, up to 25 entries.'), +}) + +const discordWebhookAllowedMentionsSchema = z + .object({ + parse: z.array(z.enum(['roles', 'users', 'everyone'])).optional(), + roles: z.array(z.string().min(1)).optional(), + users: z.array(z.string().min(1)).optional(), + repliedUser: z.boolean().optional(), + }) + .optional() + const discordWebhookInputSchema = z.object({ content: z.string().min(1).describe('Message content to post to Discord.'), - username: z.string().min(1).optional().describe('Optional webhook display name override.'), - avatarUrl: z.url().optional().describe('Optional avatar image URL override.'), - tts: z.boolean().optional().describe('Whether Discord should read the message aloud.'), + username: z.string().min(1).optional(), + avatarUrl: z.url().optional(), + tts: z.boolean().optional(), + wait: z.boolean().default(true), + threadId: z.string().min(1).optional(), + allowedMentions: discordWebhookAllowedMentionsSchema, + embeds: z.array(discordWebhookEmbedSchema).max(10).optional(), }) -type DiscordWebhookInput = z.infer +type DiscordWebhookInput = z.input type DiscordWebhookMessage = { id?: string channel_id?: string timestamp?: string + embeds?: Array> } type DiscordWebhookOutput = DiscordWebhookMessage & { @@ -24,6 +85,8 @@ type DiscordWebhookOutput = DiscordWebhookMessage & { } const DISCORD_WEBHOOK_URL = process.env.DISCORD_WEBHOOK_URL?.trim() ?? '' +const DISCORD_WEBHOOK_BACKGROUND_ENABLED = + process.env.DISCORD_WEBHOOK_BACKGROUND === 'true' export const discordWebhookTool = createTool({ id: 'discord-webhook', @@ -39,22 +102,73 @@ export const discordWebhookTool = createTool({ timestamp: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('discord-webhook input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('discord-webhook received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('discord-webhook received input', { + toolCallId, + messages: messages ?? [], + inputData: { + contentLength: input.content.length, + wait: input.wait ?? true, + hasThreadId: + typeof input.threadId === 'string' && input.threadId.length > 0, + embedCount: input.embeds?.length ?? 0, + }, + hook: 'onInputAvailable', + }) + }, + background: { + enabled: DISCORD_WEBHOOK_BACKGROUND_ENABLED, + timeoutMs: 15_000, + maxRetries: 0, + waitTimeoutMs: 3_000, + onComplete: (task) => { + log.info('discord-webhook background task completed', { + hook: 'background.onComplete', + taskId: task.id, + status: task.status, + toolName: task.toolName, + toolCallId: task.toolCallId, + runId: task.runId, + }) + }, + onFailed: (task) => { + log.error('discord-webhook background task failed', { + hook: 'background.onFailed', + taskId: task.id, + status: task.status, + toolName: task.toolName, + toolCallId: task.toolCallId, + runId: task.runId, + error: task.error?.message, + }) + }, + }, execute: async (input: DiscordWebhookInput): Promise => { if (DISCORD_WEBHOOK_URL === '') { throw new Error('DISCORD_WEBHOOK_URL is not configured') } const url = new URL(DISCORD_WEBHOOK_URL) - url.searchParams.set('wait', 'true') + url.searchParams.set('wait', String(input.wait ?? true)) - const body = { - content: input.content, - allowed_mentions: { - parse: [], - }, - ...(input.username ? { username: input.username } : {}), - ...(input.avatarUrl ? { avatar_url: input.avatarUrl } : {}), - ...(typeof input.tts === 'boolean' ? { tts: input.tts } : {}), + if (typeof input.threadId === 'string' && input.threadId.length > 0) { + url.searchParams.set('thread_id', input.threadId) } const response = await fetch(url, { @@ -63,17 +177,108 @@ export const discordWebhookTool = createTool({ 'content-type': 'application/json', accept: 'application/json', }, - body: JSON.stringify(body), + body: JSON.stringify({ + content: input.content, + ...(typeof input.username === 'string' && input.username.length > 0 + ? { username: input.username } + : {}), + ...(typeof input.avatarUrl === 'string' && input.avatarUrl.length > 0 + ? { avatar_url: input.avatarUrl } + : {}), + ...(typeof input.tts === 'boolean' ? { tts: input.tts } : {}), + ...(input.allowedMentions + ? { + allowed_mentions: { + ...(input.allowedMentions.parse + ? { parse: input.allowedMentions.parse } + : {}), + ...(input.allowedMentions.roles + ? { roles: input.allowedMentions.roles } + : {}), + ...(input.allowedMentions.users + ? { users: input.allowedMentions.users } + : {}), + ...(typeof input.allowedMentions.repliedUser === 'boolean' + ? { + replied_user: input.allowedMentions.repliedUser, + } + : {}), + }, + } + : {}), + ...(input.embeds + ? { + embeds: input.embeds.map((embed) => ({ + ...(typeof embed.title === 'string' && embed.title.length > 0 + ? { title: embed.title } + : {}), + ...(typeof embed.description === 'string' && + embed.description.length > 0 + ? { description: embed.description } + : {}), + ...(typeof embed.url === 'string' && embed.url.length > 0 + ? { url: embed.url } + : {}), + ...(typeof embed.color === 'number' ? { color: embed.color } : {}), + ...(typeof embed.timestamp === 'string' && embed.timestamp.length > 0 + ? { timestamp: embed.timestamp } + : {}), + ...(embed.author + ? { + author: { + name: embed.author.name, + ...(typeof embed.author.url === 'string' && embed.author.url.length > 0 + ? { url: embed.author.url } + : {}), + ...(typeof embed.author.iconUrl === 'string' && embed.author.iconUrl.length > 0 + ? { icon_url: embed.author.iconUrl } + : {}), + }, + } + : {}), + ...(embed.footer + ? { + footer: { + text: embed.footer.text, + ...(typeof embed.footer.iconUrl === 'string' && + embed.footer.iconUrl.length > 0 + ? { icon_url: embed.footer.iconUrl } + : {}), + }, + } + : {}), + ...(typeof embed.imageUrl === 'string' && embed.imageUrl.length > 0 + ? { image: { url: embed.imageUrl } } + : {}), + ...(typeof embed.thumbnailUrl === 'string' && + embed.thumbnailUrl.length > 0 + ? { thumbnail: { url: embed.thumbnailUrl } } + : {}), + ...(embed.fields + ? { + fields: embed.fields.map((field) => ({ + name: field.name, + value: field.value, + ...(typeof field.inline === 'boolean' + ? { inline: field.inline } + : {}), + })), + } + : {}), + })), + } + : {}), + }), }) const data = response.ok ? ((await response.json()) as DiscordWebhookMessage) - : undefined + : null if (!response.ok) { const errorText = await response.text().catch(() => '') throw new Error( - `Discord webhook request failed with status ${response.status}${ + `Discord webhook request failed with status ${String(response.status)}${ errorText ? `: ${errorText}` : '' }` ) @@ -83,15 +288,33 @@ export const discordWebhookTool = createTool({ ok: response.ok, status: response.status, content: input.content, - ...data, + ...(data ?? {}), } }, toModelOutput: (output: DiscordWebhookOutput) => ({ type: 'text', value: output.ok - ? `Discord message sent successfully (${output.status})` + ? `Discord message sent successfully (${String(output.status)})${ + output.id ? ` • message ${output.id}` : '' + }` : 'Discord message failed', }), + onOutput: ({ output, toolCallId, toolName }) => { + log.info('discord-webhook completed', { + toolCallId, + toolName, + outputData: { + ok: output.ok, + status: output.status, + contentLength: output.content.length, + hasMessageId: + typeof output.id === 'string' && output.id.length > 0, + hasChannelId: + typeof output.channel_id === 'string' && output.channel_id.length > 0, + }, + hook: 'onOutput', + }) + }, }) -export type DiscordWebhookUITool = InferUITool \ No newline at end of file +export type DiscordWebhookUITool = InferUITool diff --git a/src/mastra/tools/document-chunking.tool.ts b/src/mastra/tools/document-chunking.tool.ts index 55586cba..42f2fc76 100644 --- a/src/mastra/tools/document-chunking.tool.ts +++ b/src/mastra/tools/document-chunking.tool.ts @@ -37,8 +37,7 @@ interface DocumentJsonObject { [key: string]: DocumentJsonValue } -let documentJsonValueSchema: z.ZodType -documentJsonValueSchema = z.lazy(() => +const documentJsonValueSchema: z.ZodType = z.lazy(() => z.union([ z.string(), z.number(), @@ -222,31 +221,28 @@ Use this tool when you need advanced document processing with metadata extractio inputSchema: MastraDocumentChunkingInputSchema, outputSchema: MastraDocumentChunkingOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Mastra chunker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Mastra chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, chunkingStrategy: 'recursive', hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Mastra chunker received complete input', { toolCallId, documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, @@ -475,13 +471,12 @@ Use this tool when you need advanced document processing with metadata extractio span?.end() } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Mastra chunker completed', { toolCallId, toolName, chunkCount: output.chunkCount, processingTimeMs: output.processingTimeMs, - aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -528,32 +523,29 @@ content indexing, or semantic search capabilities. inputSchema: CustomDocumentChunkingInputSchema, outputSchema: CustomDocumentChunkingOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('MDocument chunker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal), + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('MDocument chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, chunkingStrategy: 'recursive', hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('MDocument chunker received complete input', { toolCallId, documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, generateEmbeddings: input.generateEmbeddings, - messageCount: messages?.length ?? 0, - abort: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, @@ -854,7 +846,7 @@ content indexing, or semantic search capabilities. // Map embeddings back to the full set: only non-empty values produced embeddings const finalVectors: number[][] = [] - const finalMetadata: Array> = [] + const finalMetadata: DocumentJsonObject[] = [] const finalIds: string[] = [] if (embeddings.length > 0) { @@ -946,13 +938,12 @@ content indexing, or semantic search capabilities. span?.end() } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('MDocument chunker completed', { toolCallId, toolName, chunkCount: output.chunkCount, processingTimeMs: output.processingTimeMs, - aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -999,32 +990,29 @@ content indexing, or semantic search capabilities using LibSQL/Turso. inputSchema: CustomDocumentChunkingInputSchema, outputSchema: CustomDocumentChunkingOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('LibSQL chunker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('LibSQL chunker tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, chunkingStrategy: 'recursive', hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('LibSQL chunker received complete input', { toolCallId, documentLength: input.documentContent.length, chunkingStrategy: input.chunkingStrategy, generateEmbeddings: input.generateEmbeddings, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, @@ -1037,7 +1025,7 @@ content indexing, or semantic search capabilities using LibSQL/Turso. const chunkSize = inputData.chunkSize ?? 512 const chunkOverlap = inputData.chunkOverlap ?? 50 const indexName = inputData.indexName ?? 'memory_messages_768' - const embeddingModel = + const _embeddingModel = inputData.embeddingModel ?? fastembed const embeddingBatchSize = inputData.embeddingBatchSize ?? 50 @@ -1322,7 +1310,7 @@ content indexing, or semantic search capabilities using LibSQL/Turso. // Map embeddings back to the full set: only non-empty values produced embeddings const finalVectors: number[][] = [] - const finalMetadata: Array> = [] + const finalMetadata: DocumentJsonObject[] = [] const finalIds: string[] = [] if (embeddings.length > 0) { @@ -1414,13 +1402,12 @@ content indexing, or semantic search capabilities using LibSQL/Turso. span?.end() } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('LibSQL chunker completed', { toolCallId, toolName, chunkCount: output.chunkCount, processingTimeMs: output.processingTimeMs, - aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) }, @@ -1483,22 +1470,20 @@ Use this tool to improve retrieval quality by re-ranking initial search results. processingTimeMs: z.number(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Document reranker tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputStart', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Document reranker received complete input', { toolCallId, userQuery: input.userQuery, indexName: input.indexName, topK: input.topK, - messageCount: messages?.length ?? 0, - aborted: resolveAbortSignal(abortSignal).aborted, + messages, hook: 'onInputAvailable', }) }, @@ -1607,7 +1592,9 @@ Use this tool to improve retrieval quality by re-ranking initial search results. indexName, queryVector: queryEmbedding, topK: initialTopK, - filter: inputData.filter, + filter: inputData.filter as NonNullable< + Parameters[0]['filter'] + >, includeVector: inputData.includeVector, }) const searchTime = Date.now() - searchStartTime diff --git a/src/mastra/tools/downsample.tool.ts b/src/mastra/tools/downsample.tool.ts index 20ba2b42..3b32aca2 100644 --- a/src/mastra/tools/downsample.tool.ts +++ b/src/mastra/tools/downsample.tool.ts @@ -20,6 +20,32 @@ export const downsampleTool = createTool({ target: z.number(), }), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('Downsample tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Downsample tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Downsample tool received input', { + toolCallId, + messages: messages ?? [], + inputData: { + valuesCount: input.values.length, + target: input.target, + }, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context?.writer @@ -241,35 +267,6 @@ export const downsampleTool = createTool({ return fallbackResult } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Downsample tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Downsample tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Downsample tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - valuesCount: input.values.length, - target: input.target, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Downsample tool completed', { toolCallId, diff --git a/src/mastra/tools/editor-agent-tool.ts b/src/mastra/tools/editor-agent-tool.ts index c6e76df3..e9958854 100644 --- a/src/mastra/tools/editor-agent-tool.ts +++ b/src/mastra/tools/editor-agent-tool.ts @@ -170,7 +170,7 @@ export const editorTool = createTool({ id: 'editor-agent', }) await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) resultText = (await stream.text) ?? streamedText } else if (stream?.fullStream && writer) { @@ -187,7 +187,7 @@ export const editorTool = createTool({ id: 'editor-agent', }) await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) resultText = (await stream.text) ?? streamedText } else if (stream) { diff --git a/src/mastra/tools/evaluateResultTool.ts b/src/mastra/tools/evaluateResultTool.ts index 2c09828f..a4264fe2 100644 --- a/src/mastra/tools/evaluateResultTool.ts +++ b/src/mastra/tools/evaluateResultTool.ts @@ -74,7 +74,7 @@ export const evaluateResultTool = createTool({ }) const evalSpan = getOrCreateSpan({ - type: SpanType.TOOL_CALL, + type: SpanType.AGENT_RUN, name: 'evaluate_result', input: inputData, requestContext: context?.requestContext, diff --git a/src/mastra/tools/extractLearningsTool.ts b/src/mastra/tools/extractLearningsTool.ts index 08d1c56e..fc7ccf35 100644 --- a/src/mastra/tools/extractLearningsTool.ts +++ b/src/mastra/tools/extractLearningsTool.ts @@ -39,6 +39,35 @@ export const extractLearningsTool = createTool({ }), outputSchema: extractLearningsOutputSchema, strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('extractLearningsTool tool input streaming started', { + toolCallId, + messages, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('extractLearningsTool received input chunk', { + toolCallId, + inputTextDelta, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('extractLearningsTool received input', { + toolCallId, + messages, + inputData: { + query: input.query, + result: { + title: input.result.title, + url: input.result.url, + }, + }, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const mastra = context?.mastra const writer = context?.writer @@ -154,7 +183,8 @@ export const extractLearningsTool = createTool({ } } - let responseObject: unknown = {} + let responseObject: z.infer = + extractLearningsFallbackOutput if (typeof agent.stream === 'function') { // Use MastraModelOutput for accurate typing and pipe fullStream into the writer (Mastra nested-agent pattern) await writer?.custom({ @@ -183,33 +213,38 @@ export const extractLearningsTool = createTool({ if (stream?.fullStream !== undefined && writer) { await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } if (stream) { try { const structured = await stream.object - responseObject = structured ?? {} + responseObject = + structured ?? extractLearningsFallbackOutput } catch { const text = (await stream.text) ?? streamedText try { - responseObject = text ? JSON.parse(text) : {} + responseObject = text + ? JSON.parse(text) + : extractLearningsFallbackOutput } catch { - responseObject = {} + responseObject = extractLearningsFallbackOutput } } } else { - responseObject = {} + responseObject = extractLearningsFallbackOutput } } else { const response = await agent.generate(prompt) try { responseObject = response.object ?? - (response.text ? JSON.parse(response.text) : {}) + (response.text + ? JSON.parse(response.text) + : extractLearningsFallbackOutput) } catch { - responseObject = {} + responseObject = extractLearningsFallbackOutput } } @@ -308,38 +343,6 @@ export const extractLearningsTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('extractLearningsTool tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('extractLearningsTool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('extractLearningsTool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - query: input.query, - result: { - title: input.result.title, - url: input.result.url, - }, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output: ExtractLearningsOutput) => ({ type: 'content', value: [ @@ -357,7 +360,7 @@ export const extractLearningsTool = createTool({ (part): part is { type: 'text'; text: string } => Boolean(part) ), }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('extractLearningsTool completed', { toolCallId, toolName, @@ -365,7 +368,6 @@ export const extractLearningsTool = createTool({ learning: output.learning, followUpQuestions: output.followUpQuestions, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/fetch.tool.ts b/src/mastra/tools/fetch.tool.ts index 8776ca29..ff4d17d8 100644 --- a/src/mastra/tools/fetch.tool.ts +++ b/src/mastra/tools/fetch.tool.ts @@ -11,7 +11,7 @@ import RE2 from 're2' import { z } from 'zod' import { log } from '../config/logger' import { httpFetch } from '../lib/http-client' -import { createLinkedAbortController, resolveAbortSignal } from './abort-signal.utils' +import { createLinkedAbortController } from './abort-signal.utils' import type { BaseToolRequestContext } from './request-context.utils' const DEFAULT_USER_AGENT = @@ -763,35 +763,33 @@ export const fetchTool = createTool({ inputSchema: fetchToolInputSchema, outputSchema: fetchToolOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - - + onInputStart: ({ toolCallId, messages, experimental_context }) => { log.info('Fetch tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, + experimental_context, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages, experimental_context }) => { log.info('Fetch tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, + experimental_context, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, experimental_context }) => { log.info('Fetch tool input available', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages, url: input.url, query: input.query, searchProvider: input.searchProvider, searchVertical: input.searchVertical, contentContext: input.contentContext, + experimental_context, hook: 'onInputAvailable', }) }, @@ -1084,17 +1082,17 @@ export const fetchTool = createTool({ throw error } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName, experimental_context }) => { const parsed = fetchToolOutputSchema.safeParse(output) const safeOutput = parsed.success ? parsed.data : undefined log.info('Fetch tool completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, mode: safeOutput?.mode ?? 'unknown', resultCount: safeOutput?.results?.length ?? 0, hook: 'onOutput', + experimental_context, }) }, }) diff --git a/src/mastra/tools/financial-chart-tools.ts b/src/mastra/tools/financial-chart-tools.ts index 01c5cf73..0ee105be 100644 --- a/src/mastra/tools/financial-chart-tools.ts +++ b/src/mastra/tools/financial-chart-tools.ts @@ -18,7 +18,9 @@ const chartStreamOutputSchema = z.object({ text: z.string().optional(), }) -type ChartStreamOutput = z.infer +type ChartStreamOutput = { + text?: string +} type FinancialChartJsonPrimitive = string | number | boolean | null type FinancialChartJsonValue = @@ -30,8 +32,7 @@ interface FinancialChartJsonObject { [key: string]: FinancialChartJsonValue } -let financialChartJsonValueSchema: z.ZodType -financialChartJsonValueSchema = z.lazy(() => +const financialChartJsonValueSchema: z.ZodType = z.lazy(() => z.union([ z.string(), z.number(), @@ -137,6 +138,36 @@ export const chartSupervisorTool = createTool({ }), strict: true, + onInputStart: ({ toolCallId }) => { + log.info('chartSupervisorTool tool input streaming started', { + toolCallId, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartSupervisorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId }) => { + log.info('chartSupervisorTool received input', { + toolCallId, + inputData: { + symbols: input.symbols, + chartType: input.chartType, + timeRange: input.timeRange, + metrics: input.metrics, + theme: input.theme, + responsive: input.responsive, + includeCode: input.includeCode, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const { symbols, @@ -252,11 +283,11 @@ Please: })) as MastraModelOutput | undefined if (stream?.fullStream) { await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } else if (stream?.textStream) { await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } const text = stream?.text ? await stream.text : undefined @@ -293,8 +324,7 @@ Please: 'tool.output.success': true, 'tool.output.chartType': parsedResult.chartRecommendation?.type ?? chartType, - 'tool.output.dataPoints': - parsedResult.data?.metadata?.dataPoints ?? 0, + 'tool.output.dataPoints': parsedResult.data?.metadata?.dataPoints ?? 0, }, }) span?.end() @@ -337,35 +367,6 @@ Please: : new Error(`Failed to generate chart: ${errorMsg}`) } }, - onInputStart: ({ toolCallId }) => { - log.info('chartSupervisorTool tool input streaming started', { - toolCallId, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { - log.info('chartSupervisorTool received input chunk', { - toolCallId, - inputTextDelta, - messages: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId }) => { - log.info('chartSupervisorTool received input', { - toolCallId, - inputData: { - symbols: input.symbols, - chartType: input.chartType, - timeRange: input.timeRange, - metrics: input.metrics, - theme: input.theme, - responsive: input.responsive, - includeCode: input.includeCode, - }, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'json', value: output, @@ -379,17 +380,11 @@ Please: data: output.data, component: output.component, chartRecommendation: output.chartRecommendation, - sources: output.sources, }, hook: 'onOutput', }) }, }) - -/** - * Chart Generator Tool - * Generates Recharts React component code - */ export const chartGeneratorTool = createTool({ id: 'chart-generator', description: @@ -409,34 +404,13 @@ export const chartGeneratorTool = createTool({ data: z .array(z.record(z.string(), financialChartJsonValueSchema)) .describe('The chart data array'), - dataKeys: z - .array(z.string()) - .describe('Data keys to visualize (e.g., ["price", "volume"])'), - componentName: z - .string() - .optional() - .describe( - "Name for the React component (defaults to 'FinancialChart')" - ), + dataKeys: z.array(z.string()).describe('Keys present in data objects'), + componentName: z.string().optional().describe('Component name'), theme: z .enum(['light', 'dark', 'corporate']) .optional() - .describe("Color theme (defaults to 'light')"), - features: z - .array( - z.enum([ - 'tooltip', - 'legend', - 'grid', - 'brush', - 'animation', - 'responsive', - ]) - ) - .optional() - .describe( - "Features to include (defaults to ['tooltip', 'legend', 'grid', 'responsive'])" - ), + .describe('Theme palette to apply'), + features: z.array(z.string()).optional().describe("Features to include (defaults to ['tooltip','legend','grid','responsive'])"), xAxisKey: z .string() .optional() @@ -455,6 +429,37 @@ export const chartGeneratorTool = createTool({ }), strict: true, + onInputStart: ({ toolCallId }) => { + log.info('chartGeneratorTool tool input streaming started', { + toolCallId, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartGeneratorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId }) => { + log.info('chartGeneratorTool received input', { + toolCallId, + inputData: { + chartType: input.chartType, + data: input.data, + dataKeys: input.dataKeys, + componentName: input.componentName, + theme: input.theme, + features: input.features, + xAxisKey: input.xAxisKey, + height: input.height, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const { chartType, @@ -561,11 +566,11 @@ Return JSON with: componentName, code, usage, props, dependencies` })) as MastraModelOutput | undefined if (stream?.fullStream) { await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } else if (stream?.textStream) { await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } const text = stream?.text ? await stream.text : undefined @@ -640,36 +645,6 @@ Return JSON with: componentName, code, usage, props, dependencies` }) } }, - onInputStart: ({ toolCallId }) => { - log.info('chartGeneratorTool tool input streaming started', { - toolCallId, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { - log.info('chartGeneratorTool received input chunk', { - toolCallId, - inputTextDelta, - messages: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId }) => { - log.info('chartGeneratorTool received input', { - toolCallId, - inputData: { - chartType: input.chartType, - data: input.data, - dataKeys: input.dataKeys, - componentName: input.componentName, - theme: input.theme, - features: input.features, - xAxisKey: input.xAxisKey, - height: input.height, - }, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'json', value: output, @@ -760,6 +735,34 @@ export const chartDataProcessorTool = createTool({ }), strict: true, + onInputStart: ({ toolCallId }) => { + log.info('chartDataProcessorTool tool input streaming started', { + toolCallId, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartDataProcessorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId }) => { + log.info('chartDataProcessorTool received input', { + toolCallId, + inputData: { + symbols: input.symbols, + timeRange: input.timeRange, + metrics: input.metrics, + aggregation: input.aggregation, + calculations: input.calculations, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const { symbols, @@ -865,11 +868,11 @@ Return JSON with: })) as MastraModelOutput | undefined if (stream?.fullStream) { await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } else if (stream?.textStream) { await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } const text = stream?.text ? await stream.text : undefined @@ -953,33 +956,6 @@ Return JSON with: : new Error(`Failed to process data: ${errorMsg}`) } }, - onInputStart: ({ toolCallId }) => { - log.info('chartDataProcessorTool tool input streaming started', { - toolCallId, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { - log.info('chartDataProcessorTool received input chunk', { - toolCallId, - inputTextDelta, - messages: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId }) => { - log.info('chartDataProcessorTool received input', { - toolCallId, - inputData: { - symbols: input.symbols, - timeRange: input.timeRange, - metrics: input.metrics, - aggregation: input.aggregation, - calculations: input.calculations, - }, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'json', value: output, @@ -1064,6 +1040,33 @@ export const chartTypeAdvisorTool = createTool({ }), strict: true, + onInputStart: ({ toolCallId }) => { + log.info('chartTypeAdvisorTool tool input streaming started', { + toolCallId, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('chartTypeAdvisorTool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId }) => { + log.info('chartTypeAdvisorTool received input', { + toolCallId, + inputData: { + dataDescription: input.dataDescription, + visualizationGoal: input.visualizationGoal, + dataCharacteristics: input.dataCharacteristics, + constraints: input.constraints, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const { dataDescription, @@ -1150,11 +1153,11 @@ Return JSON with: primaryRecommendation, alternatives, configuration` })) as MastraModelOutput | undefined if (stream?.fullStream) { await stream.fullStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } else if (stream?.textStream) { await stream.textStream.pipeTo( - writer as unknown as WritableStream + writer as WritableStream ) } const text = stream?.text ? await stream.text : undefined @@ -1252,32 +1255,6 @@ Return JSON with: primaryRecommendation, alternatives, configuration` }) } }, - onInputStart: ({ toolCallId }) => { - log.info('chartTypeAdvisorTool tool input streaming started', { - toolCallId, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { - log.info('chartTypeAdvisorTool received input chunk', { - toolCallId, - inputTextDelta, - messages: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId }) => { - log.info('chartTypeAdvisorTool received input', { - toolCallId, - inputData: { - dataDescription: input.dataDescription, - visualizationGoal: input.visualizationGoal, - dataCharacteristics: input.dataCharacteristics, - constraints: input.constraints, - }, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'json', value: output, diff --git a/src/mastra/tools/finnhub-tools.ts b/src/mastra/tools/finnhub-tools.ts index 796874b9..ff36c391 100644 --- a/src/mastra/tools/finnhub-tools.ts +++ b/src/mastra/tools/finnhub-tools.ts @@ -14,7 +14,11 @@ import { import { httpFetch } from '../lib/http-client' type FinnhubJsonPrimitive = string | number | boolean | null -type FinnhubJsonValue = FinnhubJsonPrimitive | FinnhubJsonObject | FinnhubJsonValue[] +type FinnhubJsonValue = + | FinnhubJsonPrimitive + | FinnhubJsonObject + | FinnhubJsonValue[] + | undefined interface FinnhubJsonObject { [key: string]: FinnhubJsonValue @@ -64,6 +68,32 @@ export const finnhubQuotesTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub quotes input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub quotes received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub quotes received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + symbol: input.symbol, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -224,32 +254,6 @@ export const finnhubQuotesTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub quotes input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub quotes received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub quotes received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - symbol: input.symbol, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -315,6 +319,33 @@ export const finnhubCompanyTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub company input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub company received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub company received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + function: String(input.function), + symbol: input.symbol, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -518,33 +549,6 @@ export const finnhubCompanyTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub company input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub company received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub company received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - function: String(input.function), - symbol: input.symbol, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -611,6 +615,33 @@ export const finnhubFinancialsTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub financials input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub financials received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub financials received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + function: String(input.function), + symbol: input.symbol, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -806,33 +837,6 @@ export const finnhubFinancialsTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub financials input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub financials received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub financials received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - function: String(input.function), - symbol: input.symbol, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -892,6 +896,33 @@ export const finnhubAnalysisTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub analysis input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub analysis received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub analysis received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + function: String(input.function), + symbol: input.symbol, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1079,33 +1110,6 @@ export const finnhubAnalysisTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub analysis input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub analysis received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub analysis received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - function: String(input.function), - symbol: input.symbol, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -1197,6 +1201,34 @@ export const finnhubTechnicalTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub technical input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub technical received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub technical received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + function: String(input.function), + symbol: input.symbol, + resolution: input.resolution, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1430,34 +1462,6 @@ export const finnhubTechnicalTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub technical input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub technical received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub technical received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - function: String(input.function), - symbol: input.symbol, - resolution: input.resolution, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -1513,6 +1517,32 @@ export const finnhubEconomicTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Finnhub economic input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Finnhub economic received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Finnhub economic received complete input', { + toolCallId, + messageCount: messages?.length ?? 0, + economic_code: input.economic_code, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const requestCtx = context?.requestContext as | FinnhubRequestContext @@ -1673,32 +1703,6 @@ export const finnhubEconomicTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Finnhub economic input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Finnhub economic received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Finnhub economic received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - economic_code: input.economic_code, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ diff --git a/src/mastra/tools/git-local.tool.ts b/src/mastra/tools/git-local.tool.ts index bf71564c..b150d0de 100644 --- a/src/mastra/tools/git-local.tool.ts +++ b/src/mastra/tools/git-local.tool.ts @@ -29,6 +29,7 @@ import type { } from 'simple-git' import { z } from 'zod' import { log } from '../config/logger' +import { localWorkspacePath, mainFilesystem } from '../workspaces' import type { RequestContext } from '@mastra/core/request-context' @@ -145,7 +146,12 @@ type PorcelainFile = { } const createGitClient = (cwd?: string): GitClient => - simpleGit({ baseDir: cwd ?? process.cwd() }) + simpleGit({ baseDir: cwd ?? localWorkspacePath }) + +const resolveGitRepoPath = async (repoPath?: string): Promise => { + const targetPath = repoPath?.trim() || localWorkspacePath + return await mainFilesystem.resolveAbsolutePath(targetPath) +} const withTimeout = async (promise: Promise, timeout?: number): Promise => { if (typeof timeout !== 'number' || timeout <= 0) { @@ -343,7 +349,29 @@ export const gitStatusTool = createTool({ message: z.string().optional(), }), strict: true, - + onInputStart: ({ toolCallId, messages }) => { + log.info('Git status tool input streaming started', { + toolCallId, + messages, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Git status tool received input chunk', { + toolCallId, + inputTextDelta, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Git status tool received input', { + toolCallId, + messages, + inputData: { repoPath: input.repoPath, porcelain: input.porcelain }, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const writer = context?.writer const requestCtx = context?.requestContext as GitToolContext | undefined @@ -382,7 +410,7 @@ export const gitStatusTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) const args = ['status', '--porcelain'] if (!inputData.porcelain) { @@ -533,37 +561,10 @@ export const gitStatusTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Git status tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Git status tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Git status tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { repoPath: input.repoPath, porcelain: input.porcelain }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Git status tool completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, outputData: { success: output.success, isClean: output.isClean, @@ -675,7 +676,7 @@ export const gitDiffTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) const args = ['diff'] if (inputData.target !== undefined && inputData.target !== '') { @@ -900,7 +901,7 @@ export const gitCommitTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) // Validate amend permission if (inputData.amend && !allowAmend) { @@ -1144,7 +1145,7 @@ export const gitLogTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) const actualCount = Math.min(inputData.count ?? 10, maxCommits) const args = ['log'] @@ -1474,7 +1475,7 @@ export const gitBranchTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) let result: GitBranchOperationResult = {} switch (inputData.operation) { @@ -1874,7 +1875,7 @@ export const gitStashTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) let result: GitStashOperationResult = {} switch (inputData.operation) { @@ -2189,7 +2190,7 @@ export const gitConfigTool = createTool({ }) try { - const cwd = inputData.repoPath ?? process.cwd() + const cwd = await resolveGitRepoPath(inputData.repoPath) let result: GitConfigOperationResult = {} switch (inputData.operation) { diff --git a/src/mastra/tools/github.ts b/src/mastra/tools/github.ts index 952454df..4578e1fc 100644 --- a/src/mastra/tools/github.ts +++ b/src/mastra/tools/github.ts @@ -84,6 +84,13 @@ interface GitHubTreeResponse { truncated?: boolean } +type GitHubJsonPrimitive = string | number | boolean | null +type GitHubJsonValue = GitHubJsonPrimitive | GitHubJsonObject | GitHubJsonValue[] + +interface GitHubJsonObject { + [key: string]: GitHubJsonValue +} + interface GitHubSearchItem { name: string path: string @@ -203,7 +210,36 @@ export const listRepositories = createTool({ message: z.string().optional(), }), strict: true, - + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('GitHub list repositories tool input streaming started', { + toolCallId, + messages, + abortSignal, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('GitHub list repositories tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + const scope = input.org !== undefined && input.org !== '' ? `org:${input.org}` : 'user' + log.info('GitHub list repositories received complete input', { + toolCallId, + messages, + abortSignal, + scope, + type: input.type, + sort: input.sort, + perPage: input.perPage, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const requestContext = context?.requestContext as | GithubToolContext @@ -337,36 +373,6 @@ export const listRepositories = createTool({ return { success: false, message: errorMsg } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('GitHub list repositories tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('GitHub list repositories tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - const scope = input.org !== undefined && input.org !== '' ? `org:${input.org}` : 'user' - log.info('GitHub list repositories received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - scope, - type: input.type, - sort: input.sort, - perPage: input.perPage, - hook: 'onInputAvailable', - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { if (output.success && output.repositories) { log.info('GitHub list repositories completed', { @@ -410,7 +416,7 @@ interface GitHubIssue { updated_at: string labels?: Array<{ name: string }> comments: number - pull_request?: Record | null + pull_request?: GitHubJsonObject | null } interface GitHubCommit { @@ -756,15 +762,11 @@ export const listIssues = createTool({ number: issue.number, title: issue.title, state: issue.state, - author: - ((issue.user as Record) - ?.login as string) ?? 'unknown', + author: issue.user?.login ?? 'unknown', url: issue.html_url, createdAt: issue.created_at, updatedAt: issue.updated_at, - labels: ( - (issue.labels as Array>) ?? [] - ).map((l) => l.name as string), + labels: issue.labels?.map((label) => label.name) ?? [], comments: issue.comments, })) @@ -1245,9 +1247,7 @@ export const searchCode = createTool({ const results = items.map((item) => ({ name: item.name, path: item.path, - repository: - ((item.repository as Record) - ?.full_name as string) ?? 'unknown', + repository: item.repository?.full_name ?? 'unknown', url: item.html_url, sha: item.sha, })) diff --git a/src/mastra/tools/image-tool.ts b/src/mastra/tools/image-tool.ts index bf882f62..6f7ffa59 100644 --- a/src/mastra/tools/image-tool.ts +++ b/src/mastra/tools/image-tool.ts @@ -56,29 +56,27 @@ export const ocrTool = createTool({ ) .describe('Text blocks with bounding boxes'), }), - strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + strict: true, + onInputStart: ({ toolCallId, messages }) => { log.info('OCR tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('OCR tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, + messages, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('OCR tool received complete input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, inputData: { imagePath: input.imagePath, language: input.language }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -232,7 +230,7 @@ export const ocrTool = createTool({ }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('OCR tool completed', { toolCallId, toolName, @@ -241,7 +239,6 @@ export const ocrTool = createTool({ confidence: output?.confidence, blockCount: output?.blocks?.length ?? 0, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -310,6 +307,32 @@ export const imageProcessorTool = createTool({ sizeBytes: z.number(), }), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('Image processor tool input streaming started', { + toolCallId, + messages, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Image processor tool received input chunk', { + toolCallId, + inputTextDelta, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Image processor tool received complete input', { + toolCallId, + messages, + inputData: { + inputPath: input.inputPath, + outputPath: input.outputPath, + }, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -452,39 +475,11 @@ export const imageProcessorTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Image processor tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, abortSignal }) => { - log.info('Image processor tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Image processor tool received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - inputPath: input.inputPath, - outputPath: input.outputPath, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'text', value: `${output.success ? 'Image processing succeeded' : 'Image processing completed'}${output.width !== undefined && output.height !== undefined ? `: ${output.width}x${output.height}` : ''}${output.sizeBytes !== undefined ? ` (${output.sizeBytes} bytes)` : ''}.`, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Image processor tool completed', { toolCallId, toolName, @@ -494,7 +489,6 @@ export const imageProcessorTool = createTool({ height: output?.height, sizeBytes: output?.sizeBytes, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -539,6 +533,29 @@ export const imageToMarkdownTool = createTool({ }), }), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('Image to markdown tool input streaming started', { + toolCallId, + messages, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Image to markdown tool received input chunk', { + toolCallId, + inputTextDelta, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Image to markdown tool received complete input', { + toolCallId, + messages, + inputData: { imagePath: input.imagePath }, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -768,31 +785,6 @@ export const imageToMarkdownTool = createTool({ throw error instanceof Error ? error : new Error(errorMessage) } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Image to markdown tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, abortSignal }) => { - log.info('Image to markdown tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Image to markdown tool received complete input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { imagePath: input.imagePath }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -806,7 +798,7 @@ export const imageToMarkdownTool = createTool({ }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Image to markdown tool completed', { toolCallId, toolName, @@ -814,7 +806,6 @@ export const imageToMarkdownTool = createTool({ wordCount: output.metadata.wordCount, lineCount: output.metadata.lineCount, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/index.ts b/src/mastra/tools/index.ts index 411ec841..071204f7 100644 --- a/src/mastra/tools/index.ts +++ b/src/mastra/tools/index.ts @@ -44,6 +44,7 @@ export * from './text-analysis.tool' export * from './url-tool' export * from './weather-tool' export * from './write-note' +export * from './moltbook-tools' // Export individual tools that might not be covered by export * export { arxivPaperDownloaderTool } from './arxiv.tool' diff --git a/src/mastra/tools/json-to-csv.tool.ts b/src/mastra/tools/json-to-csv.tool.ts index b8d915b2..3c535044 100644 --- a/src/mastra/tools/json-to-csv.tool.ts +++ b/src/mastra/tools/json-to-csv.tool.ts @@ -217,29 +217,26 @@ export const jsonToCsvTool = createTool({ throw new Error(errorMessage, { cause: error }) } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('JSON to CSV tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('JSON to CSV tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { const options = input.options ?? {} log.info('JSON to CSV received complete input', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], recordCount: input.data.length, delimiter: options.delimiter, includeHeaders: options.includeHeaders, @@ -250,7 +247,7 @@ export const jsonToCsvTool = createTool({ type: 'text', value: output.csv, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { const parsed = jsonToCsvToolOutputSchema.safeParse(output) const csvOutput = parsed.success ? parsed.data.csv @@ -264,7 +261,6 @@ export const jsonToCsvTool = createTool({ log.info('JSON to CSV conversion completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, csvLines, csvLength: csvOutput.length, hook: 'onOutput', diff --git a/src/mastra/tools/jwt-auth.tool.ts b/src/mastra/tools/jwt-auth.tool.ts index b28bf716..ef8d7b15 100644 --- a/src/mastra/tools/jwt-auth.tool.ts +++ b/src/mastra/tools/jwt-auth.tool.ts @@ -24,28 +24,25 @@ export const jwtAuthTool = createTool({ iat: z.number().optional(), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('JWT auth tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('JWT auth tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ toolCallId, messages }) => { log.info('JWT auth received complete input', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], note: 'no parameters required', hook: 'onInputAvailable', }) @@ -166,11 +163,10 @@ export const jwtAuthTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('JWT auth completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, user: output.sub, roles: output.roles, tenant: output.tenant ?? 'none', diff --git a/src/mastra/tools/leaflet.tool.ts b/src/mastra/tools/leaflet.tool.ts index 39e83bc6..956a7801 100644 --- a/src/mastra/tools/leaflet.tool.ts +++ b/src/mastra/tools/leaflet.tool.ts @@ -84,6 +84,33 @@ export const leafletTool = createTool({ }), outputSchema: leafletToolOutputSchema, strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('Leaflet generator tool input streaming started', { + toolCallId, + messages, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Leaflet generator tool received input chunk', { + toolCallId, + inputTextDelta, + messages, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Leaflet generator tool received input', { + toolCallId, + messages, + inputData: { + pointsCount: input.points?.length ?? 0, + cluster: input.cluster, + zoom: input.zoom, + }, + hook: 'onInputAvailable', + }) + }, execute: async (input, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -163,7 +190,7 @@ export const leafletTool = createTool({ }) // Generate GeoJSON FeatureCollection - const geoJSON = { + const geoJSON: LeafletJsonValue = { type: 'FeatureCollection', features: points.map((p) => ({ type: 'Feature', @@ -172,9 +199,11 @@ export const leafletTool = createTool({ coordinates: [p.lng, p.lat], // GeoJSON is [lng, lat] }, properties: { - title: p.title, - description: p.description, - category: p.category, + ...(p.title !== undefined ? { title: p.title } : {}), + ...(p.description !== undefined + ? { description: p.description } + : {}), + ...(p.category !== undefined ? { category: p.category } : {}), ...p.properties, }, })), @@ -209,7 +238,7 @@ export const leafletTool = createTool({ } }) - const result = { + const result: LeafletToolOutput = { geoJSON, center: mapCenter, zoom: zoom || 13, @@ -269,50 +298,20 @@ export const leafletTool = createTool({ throw error } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Leaflet generator tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Leaflet generator tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Leaflet generator tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - pointsCount: input.points?.length ?? 0, - cluster: input.cluster, - zoom: input.zoom, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - toModelOutput: (output: LeafletToolOutput) => ({ + toModelOutput: (output) => ({ type: 'content', value: [ { type: 'text' as const, - text: `Generated Leaflet map with ${output.markers.length} marker(s)`, + text: `Generated Leaflet map with ${(output as LeafletToolOutput).markers.length} marker(s)`, }, { type: 'text' as const, - text: `Center: ${output.center.lat}, ${output.center.lng} | Zoom: ${String(output.zoom)}`, + text: `Center: ${(output as LeafletToolOutput).center.lat}, ${(output as LeafletToolOutput).center.lng} | Zoom: ${String((output as LeafletToolOutput).zoom)}`, }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Leaflet generator tool completed', { toolCallId, toolName, @@ -320,7 +319,6 @@ export const leafletTool = createTool({ markersCount: output.markers?.length ?? 0, zoom: output.zoom, }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/moltbook-tools.ts b/src/mastra/tools/moltbook-tools.ts new file mode 100644 index 00000000..615a5ce2 --- /dev/null +++ b/src/mastra/tools/moltbook-tools.ts @@ -0,0 +1,592 @@ +import { createTool } from '@mastra/core/tools' +import type { InferUITool } from '@mastra/core/tools' +import { z } from 'zod' + +import { createHttpClient } from '../lib/http-client' +import { log } from '../config/logger' + +const MOLTBOOK_BASE_URL = 'https://www.moltbook.com/api/v1' +const MOLTBOOK_API_KEY = + process.env.MOLTBOOK_API_KEY?.trim() ?? process.env.MOLTBOOK_TOKEN?.trim() ?? '' + +const moltbookClient = createHttpClient({ + baseURL: MOLTBOOK_BASE_URL, + headers: MOLTBOOK_API_KEY + ? { + Authorization: `Bearer ${MOLTBOOK_API_KEY}`, + } + : {}, +}).client + +const requestSchema = z.object({ + method: z.string(), + path: z.string(), +}) + +const agentSchema = z + .object({ + id: z.string().optional(), + name: z.string().optional(), + description: z.string().optional(), + owner_email: z.email().optional(), + bio: z.string().optional(), + website: z.url().optional(), + }) + .loose() + +const postSchema = z + .object({ + id: z.string().optional(), + submolt: z.string().optional(), + title: z.string().optional(), + content: z.string().optional(), + url: z.url().optional(), + }) + .loose() + +const searchResultSchema = z + .object({ + query: z.string(), + type: z.enum(['posts', 'comments', 'agents', 'submolts']).optional(), + results: z.array(z.looseObject({})).optional(), + }) + .loose() + +const conversationMessageSchema = z + .object({ + id: z.string().optional(), + conversation_id: z.string().optional(), + content: z.string().optional(), + }) + .loose() + +export const moltbookRegisterAgentTool = createTool({ + id: 'moltbook-register-agent', + description: 'Register a new Moltbook agent profile.', + inputSchema: z.object({ + name: z.string().min(1), + description: z.string().min(1), + owner_email: z.email().optional(), + }), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: agentSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-register-agent input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-register-agent received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('moltbook-register-agent received input', { + toolCallId, + messages: messages ?? [], + inputData: { + nameLength: input.name.length, + descriptionLength: input.description.length, + hasOwnerEmail: + typeof input.owner_email === 'string' && input.owner_email.length > 0, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const response = await moltbookClient.post('/agents/register', inputData) + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook agent registered', + request: { method: 'POST', path: '/agents/register' }, + data: response.data as z.infer, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const aborted = abortSignal?.aborted ?? false + + log.info('moltbook-register-agent completed', { + toolCallId, + toolName, + abortSignal: aborted, + outputData: { + status: output.status, + ok: output.ok, + hasAgentId: + typeof output.data.id === 'string' && output.data.id.length > 0, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookRegisterAgentUITool = InferUITool< + typeof moltbookRegisterAgentTool +> + +export const moltbookGetProfileTool = createTool({ + id: 'moltbook-get-profile', + description: 'Fetch the current Moltbook agent profile.', + inputSchema: z.object({}), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: agentSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-get-profile input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-get-profile received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ toolCallId, messages }) => { + log.info('moltbook-get-profile received input', { + toolCallId, + messages: messages ?? [], + inputData: { request: 'current profile' }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const response = await moltbookClient.get('/agents/me') + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook profile loaded', + request: { method: 'GET', path: '/agents/me' }, + data: response.data as z.infer, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { + + log.info('moltbook-get-profile completed', { + toolCallId, + toolName, + outputData: { + status: output.status, + ok: output.ok, + hasAgentId: + typeof output.data.id === 'string' && output.data.id.length > 0, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookGetProfileUITool = InferUITool + +export const moltbookUpdateProfileTool = createTool({ + id: 'moltbook-update-profile', + description: 'Update the current Moltbook agent profile.', + inputSchema: z.object({ + bio: z.string().min(1).optional(), + website: z.url().optional(), + }), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: agentSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-update-profile input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-update-profile received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('moltbook-update-profile received input', { + toolCallId, + messages: messages ?? [], + inputData: { + hasBio: typeof input.bio === 'string' && input.bio.length > 0, + hasWebsite: + typeof input.website === 'string' && input.website.length > 0, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const response = await moltbookClient.patch('/agents/me', inputData) + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook profile updated', + request: { method: 'PATCH', path: '/agents/me' }, + data: response.data as z.infer, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { + + log.info('moltbook-update-profile completed', { + toolCallId, + toolName, + outputData: { + status: output.status, + ok: output.ok, + hasWebsite: + typeof output.data.website === 'string' && + output.data.website.length > 0, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookUpdateProfileUITool = InferUITool< + typeof moltbookUpdateProfileTool +> + +export const moltbookCreatePostTool = createTool({ + id: 'moltbook-create-post', + description: 'Create a new Moltbook post.', + inputSchema: z.object({ + submolt: z.string().min(1), + title: z.string().min(1), + content: z.string().optional(), + url: z.url().optional(), + }), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: postSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-create-post input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-create-post received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('moltbook-create-post received input', { + toolCallId, + messages: messages ?? [], + inputData: { + submolt: input.submolt, + titleLength: input.title.length, + hasContent: typeof input.content === 'string' && input.content.length > 0, + hasUrl: typeof input.url === 'string' && input.url.length > 0, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const response = await moltbookClient.post('/posts', inputData) + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook post created', + request: { method: 'POST', path: '/posts' }, + data: response.data as z.infer, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { + + log.info('moltbook-create-post completed', { + toolCallId, + toolName, + outputData: { + status: output.status, + ok: output.ok, + hasUrl: typeof output.data.url === 'string' && output.data.url.length > 0, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookCreatePostUITool = InferUITool + +export const moltbookSearchTool = createTool({ + id: 'moltbook-search', + description: 'Search Moltbook content by query and optional type.', + inputSchema: z.object({ + query: z.string().min(1), + type: z.enum(['posts', 'comments', 'agents', 'submolts']).optional(), + }), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: searchResultSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-search input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-search received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('moltbook-search received input', { + toolCallId, + messages: messages ?? [], + inputData: { + queryLength: input.query.length, + hasType: typeof input.type === 'string' && input.type.length > 0, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const response = await moltbookClient.get('/search', { + params: { + q: inputData.query, + ...(typeof inputData.type === 'string' ? { type: inputData.type } : {}), + }, + }) + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook search completed', + request: { method: 'GET', path: '/search' }, + data: { + query: inputData.query, + ...(typeof inputData.type === 'string' ? { type: inputData.type } : {}), + ...(response.data as Record), + }, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { + const resultCount = Array.isArray(output.data.results) ? output.data.results.length : 0 + + log.info('moltbook-search completed', { + toolCallId, + toolName, + outputData: { + status: output.status, + ok: output.ok, + resultCount, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookSearchUITool = InferUITool + +export const moltbookSendMessageTool = createTool({ + id: 'moltbook-send-message', + description: 'Send a direct message in Moltbook.', + inputSchema: z.object({ + conversationId: z.string().min(1), + content: z.string().min(1), + }), + outputSchema: z.object({ + ok: z.boolean(), + status: z.number().int(), + message: z.string(), + request: requestSchema, + data: conversationMessageSchema, + }), + strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('moltbook-send-message input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('moltbook-send-message received input chunk', { + toolCallId, + inputTextDelta, + inputChunkLength: inputTextDelta.length, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('moltbook-send-message received input', { + toolCallId, + messages: messages ?? [], + inputData: { + conversationId: input.conversationId, + contentLength: input.content.length, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context): Promise<{ + ok: boolean + status: number + message: string + request: { method: string; path: string } + data: z.infer + }> => { + if (MOLTBOOK_API_KEY === '') { + throw new Error('MOLTBOOK_API_KEY is not configured') + } + + const path = `/dms/conversations/${inputData.conversationId}` + const response = await moltbookClient.post(path, { content: inputData.content }) + + return { + ok: response.status >= 200 && response.status < 300, + status: response.status, + message: 'Moltbook direct message sent', + request: { + method: 'POST', + path, + }, + data: response.data as z.infer, + } + }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { + + log.info('moltbook-send-message completed', { + toolCallId, + toolName, + outputData: { + status: output.status, + ok: output.ok, + hasMessageId: + typeof output.data.id === 'string' && output.data.id.length > 0, + }, + hook: 'onOutput', + }) + }, +}) + +export type MoltbookSendMessageUITool = InferUITool \ No newline at end of file diff --git a/src/mastra/tools/pdf.ts b/src/mastra/tools/pdf.ts index 68714aba..3915fabe 100644 --- a/src/mastra/tools/pdf.ts +++ b/src/mastra/tools/pdf.ts @@ -22,22 +22,25 @@ export const readPDF = createTool({ content: z.string(), }), strict: true, - onInputStart: ({ toolCallId }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('readPDF tool input streaming started', { toolCallId, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('readPDF received input chunk', { toolCallId, inputTextDelta, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('readPDF received input', { toolCallId, + messages: messages ?? [], inputData: { pdfPath: input.pdfPath, }, diff --git a/src/mastra/tools/polygon-tools.ts b/src/mastra/tools/polygon-tools.ts index fd76e0ca..9b1c479d 100644 --- a/src/mastra/tools/polygon-tools.ts +++ b/src/mastra/tools/polygon-tools.ts @@ -14,7 +14,11 @@ import { httpFetch } from '../lib/http-client' const fetch = httpFetch type PolygonJsonPrimitive = string | number | boolean | null -type PolygonJsonValue = PolygonJsonPrimitive | PolygonJsonObject | PolygonJsonValue[] +type PolygonJsonValue = + | PolygonJsonPrimitive + | PolygonJsonObject + | PolygonJsonValue[] + | undefined interface PolygonJsonObject { [key: string]: PolygonJsonValue @@ -119,6 +123,37 @@ export const polygonStockQuotesTool = createTool({ }), outputSchema: polygonStockQuotesOutputSchema, strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon stock quotes tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon stock quotes tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon stock quotes received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { + symbol: input.symbol, + function: input.function, + limit: input.limit, + sort: input.sort, + }, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -387,37 +422,6 @@ export const polygonStockQuotesTool = createTool({ throw normalizedError } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Polygon stock quotes tool input streaming started', { - toolCallId, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Polygon stock quotes tool received input chunk', { - toolCallId, - inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Polygon stock quotes received input', { - toolCallId, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, - inputData: { - symbol: input.symbol, - function: input.function, - limit: input.limit, - sort: input.sort, - }, - hook: 'onInputAvailable', - }) - }, toModelOutput: (output) => ({ type: 'content', value: [ @@ -519,6 +523,39 @@ export const polygonStockAggregatesTool = createTool({ error: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon aggregates tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon aggregates tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon aggregates received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { + symbol: input.symbol, + multiplier: input.multiplier, + timespan: input.timespan, + from: input.from, + to: input.to, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -777,6 +814,40 @@ export const polygonStockAggregatesTool = createTool({ throw normalizedError } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon aggregates for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.error !== undefined && output.error !== '' + ? { + type: 'text' as const, + text: `Failed: ${output.error}`, + } + : { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const hasError = typeof output.error === 'string' && output.error.length > 0 + const dataPoints = output.metadata?.count ?? 0 + log[hasError ? 'warn' : 'info']('Polygon aggregates completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + outputData: { + symbol: output.metadata?.symbol, + dataPoints, + hasError, + error: output.error, + }, + hook: 'onOutput', + }) + }, }) export type PolygonStockAggregatesUITool = InferUITool< @@ -834,6 +905,37 @@ export const polygonStockFundamentalsTool = createTool({ .optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon fundamentals tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon fundamentals tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon fundamentals received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { + function: input.function, + symbol: input.symbol, + limit: input.limit, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1147,6 +1249,32 @@ export const polygonStockFundamentalsTool = createTool({ throw normalizedError } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon ${output.metadata?.function ?? 'fundamentals'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const dataPoints = output.metadata?.count ?? 0 + log.info('Polygon fundamentals completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + outputData: { + symbol: output.metadata?.symbol, + dataPoints, + }, + hook: 'onOutput', + }) + }, }) export type PolygonStockFundamentalsUITool = InferUITool< @@ -1195,6 +1323,33 @@ export const polygonCryptoQuotesTool = createTool({ error: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto quotes tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto quotes tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto quotes received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { function: input.function, symbol: input.symbol, limit: input.limit }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1450,6 +1605,40 @@ export const polygonCryptoQuotesTool = createTool({ throw normalizedError } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon ${output.metadata?.function ?? 'crypto quotes'} for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.error !== undefined && output.error !== '' + ? { + type: 'text' as const, + text: `Failed: ${output.error}`, + } + : { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const hasError = typeof output.error === 'string' && output.error.length > 0 + const dataPoints = output.metadata?.count ?? 0 + log[hasError ? 'warn' : 'info']('Polygon crypto quotes completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + outputData: { + symbol: output.metadata?.symbol, + dataPoints, + hasError, + error: output.error, + }, + hook: 'onOutput', + }) + }, }) export type PolygonCryptoQuotesUITool = InferUITool< @@ -1518,6 +1707,39 @@ export const polygonCryptoAggregatesTool = createTool({ error: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto aggregates tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto aggregates tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto aggregates received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { + symbol: input.symbol, + multiplier: input.multiplier, + timespan: input.timespan, + from: input.from, + to: input.to, + }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -1777,6 +1999,40 @@ export const polygonCryptoAggregatesTool = createTool({ throw normalizedError } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon crypto aggregates for ${output.metadata?.symbol ?? 'unknown'}`, + }, + output.error !== undefined && output.error !== '' + ? { + type: 'text' as const, + text: `Failed: ${output.error}`, + } + : { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const hasError = typeof output.error === 'string' && output.error.length > 0 + const dataPoints = output.metadata?.count ?? 0 + log[hasError ? 'warn' : 'info']('Polygon crypto aggregates completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + outputData: { + symbol: output.metadata?.symbol, + dataPoints, + hasError, + error: output.error, + }, + hook: 'onOutput', + }) + }, }) export type PolygonCryptoAggregatesUITool = InferUITool< @@ -1817,6 +2073,33 @@ export const polygonCryptoSnapshotsTool = createTool({ error: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto snapshots tool input streaming started', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto snapshots tool received input chunk', { + toolCallId, + inputTextDelta, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Polygon crypto snapshots received input', { + toolCallId, + abortSignal: abortSignal?.aborted, + messageCount: messages?.length ?? 0, + inputData: { limit: input.limit }, + hook: 'onInputAvailable', + }) + }, + execute: async (inputData, context) => { const startTime = Date.now() const writer = context?.writer @@ -2035,6 +2318,39 @@ export const polygonCryptoSnapshotsTool = createTool({ throw normalizedError } }, + toModelOutput: (output) => ({ + type: 'content', + value: [ + { + type: 'text' as const, + text: `Polygon crypto snapshots result`, + }, + output.error !== undefined && output.error !== '' + ? { + type: 'text' as const, + text: `Failed: ${output.error}`, + } + : { + type: 'text' as const, + text: `Returned ${String(output.metadata?.count ?? 0)} result(s).`, + }, + ], + }), + onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + const hasError = typeof output.error === 'string' && output.error.length > 0 + const dataPoints = output.metadata?.count ?? 0 + log[hasError ? 'warn' : 'info']('Polygon crypto snapshots completed', { + toolCallId, + toolName, + abortSignal: abortSignal?.aborted, + outputData: { + dataPoints, + hasError, + error: output.error, + }, + hook: 'onOutput', + }) + }, }) export type PolygonCryptoSnapshotsUITool = InferUITool< diff --git a/src/mastra/tools/random-generator.tool.ts b/src/mastra/tools/random-generator.tool.ts index ed2e868b..2dc6ba8d 100644 --- a/src/mastra/tools/random-generator.tool.ts +++ b/src/mastra/tools/random-generator.tool.ts @@ -19,9 +19,7 @@ type RandomJsonValue = RandomJsonPrimitive | RandomJsonObject | RandomJsonValue[ interface RandomJsonObject { [key: string]: RandomJsonValue } - -let randomJsonValueSchema: z.ZodType -randomJsonValueSchema = z.lazy(() => +const randomJsonValueSchema: z.ZodType = z.lazy(() => z.union([ z.string(), z.number(), @@ -86,6 +84,29 @@ export const randomGeneratorTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages }) => { + log.info('Random generator tool input streaming started', { + toolCallId, + messages: messages ?? [], + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { + log.info('Random generator tool received input chunk', { + toolCallId, + inputTextDelta, + messages: messages ?? [], + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages }) => { + log.info('Random generator tool received input', { + toolCallId, + messages: messages ?? [], + inputData: { type: input.type, count: input.count }, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const requestContext = context?.requestContext as RandomToolContext const locale = @@ -214,37 +235,10 @@ export const randomGeneratorTool = createTool({ type: 'json', value: output, }), - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Random generator tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Random generator tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Random generator tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { type: input.type, count: input.count }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Random generator tool completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, outputData: { success: output.success, type: output.type, diff --git a/src/mastra/tools/serpapi-academic-local.tool.ts b/src/mastra/tools/serpapi-academic-local.tool.ts index 1a7288d0..664d9c31 100644 --- a/src/mastra/tools/serpapi-academic-local.tool.ts +++ b/src/mastra/tools/serpapi-academic-local.tool.ts @@ -174,27 +174,27 @@ export const googleScholarTool = createTool({ inputSchema: googleScholarInputSchema, outputSchema: googleScholarOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages, experimental_context }) => { log.info('Google Scholar tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], + experimental_context, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages, experimental_context }) => { log.info('Google Scholar tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], + experimental_context, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, experimental_context }) => { log.info('Google Scholar received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { query: input.query, yearStart: input.yearStart, @@ -202,7 +202,7 @@ export const googleScholarTool = createTool({ sortBy: input.sortBy, numResults: input.numResults, }, - abortSignal: abortSignal?.aborted, + experimental_context, hook: 'onInputAvailable', }) }, @@ -346,14 +346,17 @@ export const googleScholarTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { const paperCount = getGoogleScholarPaperCount(output) log.info('Google Scholar search completed', { toolCallId, toolName, outputData: { paperCount }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -403,32 +406,29 @@ export const googleFinanceTool = createTool({ inputSchema: googleFinanceInputSchema, outputSchema: googleFinanceOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Google Finance tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Google Finance tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Google Finance received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { query: input.query, exchange: input.exchange, }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -530,12 +530,15 @@ export const googleFinanceTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Google Finance search completed', { toolCallId, toolName, outputData: { symbol: output.symbol }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -598,27 +601,25 @@ export const yelpSearchTool = createTool({ inputSchema: yelpSearchInputSchema, outputSchema: yelpSearchOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Yelp Search tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Yelp Search tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Yelp Search received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { query: input.query, location: input.location, @@ -627,7 +628,6 @@ export const yelpSearchTool = createTool({ openNow: input.openNow, numResults: input.numResults, }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -740,12 +740,15 @@ export const yelpSearchTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Yelp Search completed', { toolCallId, toolName, outputData: { businessCount: output?.businesses?.length ?? 0 }, - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/serpapi-images.tool.ts b/src/mastra/tools/serpapi-images.tool.ts index f844aff8..3a3a4365 100644 --- a/src/mastra/tools/serpapi-images.tool.ts +++ b/src/mastra/tools/serpapi-images.tool.ts @@ -159,24 +159,22 @@ export const googleImagesTool = createTool({ inputSchema: googleImagesInputSchema, outputSchema: googleImagesOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Google Images input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - aborted: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Google Images received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - aborted: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Google Images received input', { toolCallId, inputData: { @@ -186,8 +184,7 @@ export const googleImagesTool = createTool({ pageIndex: input.pageIndex, filters: input.filters, }, - messageCount: messages?.length ?? 0, - aborted: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputAvailable', }) }, @@ -381,12 +378,11 @@ export const googleImagesTool = createTool({ value: [...textParts, ...imageParts], } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Google Images completed', { toolCallId, toolName, imageCount: output?.imagesResults?.length ?? 0, - aborted: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/serpapi-local-maps.tool.ts b/src/mastra/tools/serpapi-local-maps.tool.ts index 661f81b9..b89f08bc 100644 --- a/src/mastra/tools/serpapi-local-maps.tool.ts +++ b/src/mastra/tools/serpapi-local-maps.tool.ts @@ -426,7 +426,7 @@ export const googleLocalTool = createTool({ inputSchema: googleLocalInputSchema, outputSchema: googleLocalOutputSchema, strict: true, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Google Local received input', { toolCallId, inputData: { @@ -436,8 +436,7 @@ export const googleLocalTool = createTool({ ludocid: input.ludocid, start: input.start, }, - messageCount: messages?.length ?? 0, - aborted: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputAvailable', }) }, @@ -595,12 +594,15 @@ export const googleLocalTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Google Local completed', { toolCallId, toolName, placeCount: output?.localResults?.length ?? 0, - aborted: abortSignal?.aborted, hook: 'onOutput', }) }, @@ -616,7 +618,7 @@ export const googleMapsReviewsTool = createTool({ inputSchema: googleMapsReviewsInputSchema, outputSchema: googleMapsReviewsOutputSchema, strict: true, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Google Maps Reviews received input', { toolCallId, inputData: { @@ -629,8 +631,7 @@ export const googleMapsReviewsTool = createTool({ numResults: input.numResults, nextPageToken: input.nextPageToken, }, - messageCount: messages?.length ?? 0, - aborted: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputAvailable', }) }, @@ -847,13 +848,16 @@ export const googleMapsReviewsTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Google Maps Reviews completed', { toolCallId, toolName, reviewCount: output?.reviews?.length ?? 0, topicCount: output.topics?.length ?? 0, - aborted: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/serpapi-news-trends.tool.ts b/src/mastra/tools/serpapi-news-trends.tool.ts index bfad3ea1..50fa02d1 100644 --- a/src/mastra/tools/serpapi-news-trends.tool.ts +++ b/src/mastra/tools/serpapi-news-trends.tool.ts @@ -235,24 +235,26 @@ export const googleNewsTool = createTool({ inputSchema: googleNewsInputSchema, outputSchema: googleNewsOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google News tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google News received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google News received input', { toolCallId, inputData: { @@ -262,7 +264,8 @@ export const googleNewsTool = createTool({ topic: input.topic, numResults: input.numResults, }, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -450,13 +453,14 @@ export const googleNewsTool = createTool({ type: 'json', value: output, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName, abortSignal, experimental_context }) => { log.info('Google News search completed', { toolCallId, toolName, articlesFound: output?.newsArticles?.length ?? 0, totalResults: output.totalResults, aborted: resolveAbortSignal(abortSignal).aborted, + experimental_context, hook: 'onOutput', }) }, @@ -490,24 +494,26 @@ export const googleNewsLiteTool = createTool({ .describe('Array of news articles with minimal details'), }), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google News Lite input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages, experimental_context, abortSignal }) => { log.info('Google News Lite received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, experimental_context, abortSignal }) => { log.info('Google News Lite received input', { toolCallId, inputData: { @@ -515,7 +521,8 @@ export const googleNewsLiteTool = createTool({ location: input.location, numResults: input.numResults, }, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -640,10 +647,11 @@ export const googleNewsLiteTool = createTool({ type: 'json', value: output, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName, experimental_context, abortSignal }) => { log.info('Google News Lite tool completed', { toolCallId, toolName, + experimental_context, abortSignal: resolveAbortSignal(abortSignal).aborted, outputData: { articlesFound: output?.newsArticles?.length ?? 0, @@ -792,7 +800,7 @@ export const googleTrendsTool = createTool({ inputSchema: googleTrendsInputSchema, outputSchema: googleTrendsOutputSchema, strict: true, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google Trends received input', { toolCallId, inputData: { @@ -801,26 +809,29 @@ export const googleTrendsTool = createTool({ timeRange: input.timeRange, category: input.category, }, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Google Trends input streaming started', { + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal, experimental_context }) => { + log.info('Google Trends received input chunk', { toolCallId, - messageCount: messages?.length ?? 0, + inputTextDelta, + messages: messages ?? [], + experimental_context, abortSignal: resolveAbortSignal(abortSignal).aborted, - hook: 'onInputStart', + hook: 'onInputDelta', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Google Trends received input chunk', { + onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { + log.info('Google Trends input streaming started', { toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, abortSignal: resolveAbortSignal(abortSignal).aborted, - hook: 'onInputDelta', + hook: 'onInputStart', }) }, execute: async (input, context) => { @@ -1048,7 +1059,7 @@ export const googleTrendsTool = createTool({ throw new Error(`Google Trends search failed: ${errorMessage}`, { cause: error }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName, abortSignal, experimental_context }) => { const relatedQueryCount = (output?.relatedQueries?.rising?.length ?? 0) + (output?.relatedQueries?.top?.length ?? 0) @@ -1062,6 +1073,7 @@ export const googleTrendsTool = createTool({ dataPoints: output?.interestOverTime?.length ?? 0, relatedQueries: relatedQueryCount, relatedTopics: relatedTopicCount, + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) @@ -1104,31 +1116,34 @@ export const googleAutocompleteTool = createTool({ inputSchema: googleAutocompleteInputSchema, outputSchema: googleAutocompleteOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google Autocomplete input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], aborted: resolveAbortSignal(abortSignal).aborted, + experimental_context, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google Autocomplete received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], aborted: resolveAbortSignal(abortSignal).aborted, + experimental_context, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages, abortSignal, experimental_context }) => { log.info('Google Autocomplete received input', { toolCallId, inputData: { query: input.query, location: input.location, }, - messageCount: messages?.length ?? 0, + messages: messages ?? [], + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) @@ -1247,11 +1262,12 @@ export const googleAutocompleteTool = createTool({ type: 'json', value: output, }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName, abortSignal, experimental_context }) => { log.info('Google Autocomplete completed', { toolCallId, toolName, suggestionCount: output?.suggestions?.length ?? 0, + experimental_context, aborted: resolveAbortSignal(abortSignal).aborted, hook: 'onOutput', }) diff --git a/src/mastra/tools/serpapi-search.tool.ts b/src/mastra/tools/serpapi-search.tool.ts index ec32c351..d254115b 100644 --- a/src/mastra/tools/serpapi-search.tool.ts +++ b/src/mastra/tools/serpapi-search.tool.ts @@ -99,26 +99,25 @@ export const googleSearchTool = createTool({ inputSchema: googleSearchInputSchema, outputSchema: googleSearchOutputSchema, strict: true, - onInputStart: ({ toolCallId, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Google search tool input streaming started', { toolCallId, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Google search tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Google search received complete input', { toolCallId, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], query: input.query, numResults: input.numResults, location: input.location, @@ -346,11 +345,14 @@ export const googleSearchTool = createTool({ throw error } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('Google search completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, organicResults: output?.organicResults?.length ?? 0, hasKnowledgeGraph: !!output?.knowledgeGraph, relatedSearches: output?.relatedSearches?.length ?? 0, @@ -411,26 +413,25 @@ export const googleAiOverviewTool = createTool({ inputSchema: googleAiOverviewInputSchema, outputSchema: googleAiOverviewOutputSchema, strict: true, - onInputStart: ({ toolCallId, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('AI overview tool input streaming started', { toolCallId, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('AI overview tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: abortSignal?.aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('AI overview received complete input', { toolCallId, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], query: input.query, location: input.location, includeScrapedContent: input.includeScrapedContent, @@ -585,11 +586,14 @@ export const googleAiOverviewTool = createTool({ }) } }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), + onOutput: ({ output, toolCallId, toolName }) => { log.info('AI overview completed', { toolCallId, toolName, - abortSignal: abortSignal?.aborted, available: output.available, sourcesCount: output.sources?.length ?? 0, hasAiOverview: (output.aiOverview ?? '') !== '', diff --git a/src/mastra/tools/serpapi-shopping.tool.ts b/src/mastra/tools/serpapi-shopping.tool.ts index 5f99b5a0..33650467 100644 --- a/src/mastra/tools/serpapi-shopping.tool.ts +++ b/src/mastra/tools/serpapi-shopping.tool.ts @@ -132,7 +132,7 @@ export const amazonSearchTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('amazonSearchTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -141,7 +141,7 @@ export const amazonSearchTool = createTool({ log.info('amazonSearchTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -149,7 +149,7 @@ export const amazonSearchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('amazonSearchTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -352,7 +352,7 @@ export const walmartSearchTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('walmartSearchTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -361,7 +361,7 @@ export const walmartSearchTool = createTool({ log.info('walmartSearchTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -369,7 +369,7 @@ export const walmartSearchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('walmartSearchTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -565,7 +565,7 @@ export const ebaySearchTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('ebaySearchTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -574,7 +574,7 @@ export const ebaySearchTool = createTool({ log.info('ebaySearchTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -582,7 +582,7 @@ export const ebaySearchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('ebaySearchTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, @@ -801,7 +801,7 @@ export const homeDepotSearchTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('homeDepotSearchTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) @@ -810,7 +810,7 @@ export const homeDepotSearchTool = createTool({ log.info('homeDepotSearchTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) @@ -818,7 +818,7 @@ export const homeDepotSearchTool = createTool({ onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('homeDepotSearchTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], abortSignal: resolveAbortSignal(abortSignal).aborted, inputData: { query: input.query, diff --git a/src/mastra/tools/spatial-index.tool.ts b/src/mastra/tools/spatial-index.tool.ts index ea94fd07..9d0fadf2 100644 --- a/src/mastra/tools/spatial-index.tool.ts +++ b/src/mastra/tools/spatial-index.tool.ts @@ -77,6 +77,32 @@ export const spatialIndexTool = createTool({ .optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Spatial Index tool input streaming started', { + toolCallId, + messages, + abortSignal, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Spatial Index tool received input chunk', { + toolCallId, + inputTextDelta, + messages, + abortSignal, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Spatial Index tool received input', { + toolCallId, + messages, + inputData: { action: input.action }, + abortSignal, + hook: 'onInputAvailable', + }) + }, strict: true, execute: async (input, context) => { const writer = context?.writer @@ -198,33 +224,7 @@ export const spatialIndexTool = createTool({ throw err } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Spatial Index tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Spatial Index tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Spatial Index tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { action: input.action }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, - toModelOutput: (output: SpatialIndexToolOutput) => { + toModelOutput: (output) => { return { type: 'json', value: output, diff --git a/src/mastra/tools/stooq-stock-market-data.tool.ts b/src/mastra/tools/stooq-stock-market-data.tool.ts index a13ced0b..78d02009 100644 --- a/src/mastra/tools/stooq-stock-market-data.tool.ts +++ b/src/mastra/tools/stooq-stock-market-data.tool.ts @@ -14,10 +14,10 @@ import { /** * Shared request context for Stooq stock data. -} - count: countStooqMarketDataItems(output.data), - count: countStooqMarketDataItems(output.data), - count: countStooqMarketDataItems(output.data), + */ + +const stooqInputSchema = z.object({ + function: z.enum(['quote', 'history']).optional(), symbol: z.string().min(1).describe('Stock ticker symbol, e.g. AAPL or MSFT'), marketSuffix: z.string().default('us').describe('Stooq market suffix, e.g. us, uk, jp'), limit: z.number().int().min(1).max(5000).default(100), @@ -91,30 +91,27 @@ export const stooqStockQuotesTool = createTool({ inputSchema: stooqInputSchema, outputSchema: z.custom(), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('Stooq stock quotes input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Stooq stock quotes received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Stooq stock quotes received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], function: input.function, symbol: input.symbol, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, @@ -284,12 +281,11 @@ export const stooqStockQuotesTool = createTool({ }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Stooq stock quotes completed', { toolCallId, toolName, count: countStooqMarketDataItems(output.data), - abortSignal: abortSignal?.aborted, hook: 'onOutput', }) }, diff --git a/src/mastra/tools/technical-analysis.tool.ts b/src/mastra/tools/technical-analysis.tool.ts index b24c1141..9e0e8462 100644 --- a/src/mastra/tools/technical-analysis.tool.ts +++ b/src/mastra/tools/technical-analysis.tool.ts @@ -338,6 +338,29 @@ export const ichimokuCloudTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Ichimoku tool', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Ichimoku tool', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Ichimoku tool', toolCallId, messages, abortSignal, { + highLength: input.high.length, + lowLength: input.low.length, + closeLength: input.close.length, + conversionPeriod: input.conversionPeriod, + basePeriod: input.basePeriod, + spanPeriod: input.spanPeriod, + displacement: input.displacement, + }) + }, execute: async (inputData, context): Promise => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -466,29 +489,6 @@ export const ichimokuCloudTool = createTool({ return { success: false, results: [], message: err.message } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Ichimoku tool', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Ichimoku tool', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Ichimoku tool', toolCallId, messages, abortSignal, { - highLength: input.high.length, - lowLength: input.low.length, - closeLength: input.close.length, - conversionPeriod: input.conversionPeriod, - basePeriod: input.basePeriod, - spanPeriod: input.spanPeriod, - displacement: input.displacement, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Ichimoku tool', toolCallId, toolName, abortSignal, { success: output.success, @@ -510,6 +510,25 @@ export const fibonacciTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Fibonacci tool', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Fibonacci tool', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Fibonacci tool', toolCallId, messages, abortSignal, { + high: input.high, + low: input.low, + trend: input.trend, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -613,25 +632,6 @@ export const fibonacciTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Fibonacci tool', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Fibonacci tool', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Fibonacci tool', toolCallId, messages, abortSignal, { - high: input.high, - low: input.low, - trend: input.trend, - }) - }, onOutput: ({ toolCallId, toolName, abortSignal }) => { logToolHookOutput('Fibonacci tool', toolCallId, toolName, abortSignal, { success: true, @@ -696,6 +696,25 @@ export const pivotPointsTool = createTool({ .optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Pivot points tool', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Pivot points tool', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Pivot points tool', toolCallId, messages, abortSignal, { + high: input.high, + low: input.low, + close: input.close, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -824,25 +843,6 @@ export const pivotPointsTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Pivot points tool', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Pivot points tool', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Pivot points tool', toolCallId, messages, abortSignal, { - high: input.high, - low: input.low, - close: input.close, - }) - }, onOutput: ({ toolCallId, toolName, abortSignal }) => { logToolHookOutput('Pivot points tool', toolCallId, toolName, abortSignal, { success: true, @@ -890,6 +890,24 @@ export const trendAnalysisTool = createTool({ .optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Trend analysis', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Trend analysis', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Trend analysis', toolCallId, messages, abortSignal, { + period: input.period, + dataLength: input.data.length, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -1017,24 +1035,6 @@ export const trendAnalysisTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Trend analysis', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Trend analysis', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Trend analysis', toolCallId, messages, abortSignal, { - period: input.period, - dataLength: input.data.length, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Trend analysis', toolCallId, toolName, abortSignal, { success: output.success, @@ -1068,6 +1068,25 @@ export const momentumAnalysisTool = createTool({ forceIndex: z.array(z.number()).optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Momentum analysis', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Momentum analysis', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Momentum analysis', toolCallId, messages, abortSignal, { + period: input.period, + signalPeriod: input.signalPeriod, + dataLength: input.data.length, + }) + }, execute: async (inputData, context): Promise => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -1172,25 +1191,6 @@ export const momentumAnalysisTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Momentum analysis', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Momentum analysis', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Momentum analysis', toolCallId, messages, abortSignal, { - period: input.period, - signalPeriod: input.signalPeriod, - dataLength: input.data.length, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Momentum analysis', toolCallId, toolName, abortSignal, { success: output.success, @@ -1224,6 +1224,25 @@ export const volatilityAnalysisTool = createTool({ atr: z.array(z.number()).optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Volatility analysis', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Volatility analysis', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Volatility analysis', toolCallId, messages, abortSignal, { + period: input.period, + stdDev: input.stdDev, + dataLength: input.data.length, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -1310,25 +1329,6 @@ export const volatilityAnalysisTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Volatility analysis', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Volatility analysis', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Volatility analysis', toolCallId, messages, abortSignal, { - period: input.period, - stdDev: input.stdDev, - dataLength: input.data.length, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Volatility analysis', toolCallId, toolName, abortSignal, { success: output.success, @@ -1354,6 +1354,27 @@ export const volumeAnalysisTool = createTool({ vwap: z.array(z.number()).optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Volume analysis', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Volume analysis', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Volume analysis', toolCallId, messages, abortSignal, { + period: input.period, + highLength: input.high.length, + lowLength: input.low.length, + closeLength: input.close.length, + volumeLength: input.volume.length, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -1434,27 +1455,6 @@ export const volumeAnalysisTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Volume analysis', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Volume analysis', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Volume analysis', toolCallId, messages, abortSignal, { - period: input.period, - highLength: input.high.length, - lowLength: input.low.length, - closeLength: input.close.length, - volumeLength: input.volume.length, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Volume analysis', toolCallId, toolName, abortSignal, { success: output.success, @@ -1495,6 +1495,25 @@ export const statisticalAnalysisTool = createTool({ correlation: z.number().optional(), message: z.string().optional(), }), + onInputStart: ({ toolCallId, messages, abortSignal }) => { + logToolHookStart('Statistical analysis', toolCallId, messages, abortSignal) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + logToolHookDelta( + 'Statistical analysis', + toolCallId, + inputTextDelta, + messages, + abortSignal + ) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + logToolHookAvailable('Statistical analysis', toolCallId, messages, abortSignal, { + dataLength: input.data?.length ?? 0, + dataXLength: input.dataX?.length ?? 0, + dataYLength: input.dataY?.length ?? 0, + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -1592,25 +1611,6 @@ export const statisticalAnalysisTool = createTool({ return { success: false, message: errorMessage } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - logToolHookStart('Statistical analysis', toolCallId, messages, abortSignal) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - logToolHookDelta( - 'Statistical analysis', - toolCallId, - inputTextDelta, - messages, - abortSignal - ) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - logToolHookAvailable('Statistical analysis', toolCallId, messages, abortSignal, { - dataLength: input.data?.length ?? 0, - dataXLength: input.dataX?.length ?? 0, - dataYLength: input.dataY?.length ?? 0, - }) - }, onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Statistical analysis', toolCallId, toolName, abortSignal, { success: output.success, @@ -2091,6 +2091,27 @@ export const candlestickPatternTool = createTool({ }, }) +type TechnicalAnalysisJsonPrimitive = string | number | boolean | null +type TechnicalAnalysisJsonValue = + | TechnicalAnalysisJsonPrimitive + | TechnicalAnalysisJsonObject + | TechnicalAnalysisJsonValue[] + +interface TechnicalAnalysisJsonObject { + [key: string]: TechnicalAnalysisJsonValue +} + +const technicalAnalysisJsonValueSchema: z.ZodType = z.lazy(() => + z.union([ + z.string(), + z.number(), + z.boolean(), + z.null(), + z.array(technicalAnalysisJsonValueSchema), + z.record(z.string(), technicalAnalysisJsonValueSchema), + ]) +) + export const technicalAnalysisTool = createTool({ id: 'technical-analysis', description: @@ -2163,7 +2184,7 @@ export const technicalAnalysisTool = createTool({ }), outputSchema: z.object({ success: z.boolean(), - results: z.record(z.string(), z.unknown()), + results: z.record(z.string(), technicalAnalysisJsonValueSchema), stats: z .object({ mean: z.number().optional(), @@ -2177,7 +2198,7 @@ export const technicalAnalysisTool = createTool({ .optional(), message: z.string().optional(), }), - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages, abortSignal }) => { logToolHookStart('Technical analysis tool', toolCallId, messages, abortSignal) }, onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { @@ -2254,6 +2275,7 @@ export const technicalAnalysisTool = createTool({ stdDev: 2, high: undefined as number[] | undefined, low: undefined as number[] | undefined, + close: undefined as number[] | undefined, volume: undefined as number[] | undefined, } @@ -2399,6 +2421,10 @@ export const technicalAnalysisTool = createTool({ } } }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { logToolHookOutput('Technical analysis tool', toolCallId, toolName, abortSignal, { success: output.success, diff --git a/src/mastra/tools/text-analysis.tool.ts b/src/mastra/tools/text-analysis.tool.ts index 226eed5b..d6a520a9 100644 --- a/src/mastra/tools/text-analysis.tool.ts +++ b/src/mastra/tools/text-analysis.tool.ts @@ -62,6 +62,35 @@ export const textAnalysisTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Text analysis tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Text analysis tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Text analysis tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + inputData: { + textLength: input.text?.length ?? 0, + operationsCount: input.operations?.length ?? 0, + }, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -222,35 +251,10 @@ export const textAnalysisTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Text analysis tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Text analysis tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Text analysis tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - textLength: input.text?.length ?? 0, - operationsCount: input.operations?.length ?? 0, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Text analysis tool completed', { toolCallId, @@ -306,6 +310,35 @@ export const textProcessingTool = createTool({ message: z.string().optional(), }), strict: true, + onInputStart: ({ toolCallId, messages, abortSignal }) => { + log.info('Text processing tool input streaming started', { + toolCallId, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputStart', + }) + }, + onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + log.info('Text processing tool received input chunk', { + toolCallId, + inputTextDelta, + messageCount: messages?.length ?? 0, + abortSignal: abortSignal?.aborted, + hook: 'onInputDelta', + }) + }, + onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + log.info('Text processing tool received input', { + toolCallId, + messageCount: messages?.length ?? 0, + inputData: { + textLength: input.text.length, + operationsCount: input.operations.length, + }, + abortSignal: abortSignal?.aborted, + hook: 'onInputAvailable', + }) + }, execute: async (inputData, context) => { const writer = context?.writer const abortSignal = context?.abortSignal @@ -485,35 +518,10 @@ export const textProcessingTool = createTool({ } } }, - onInputStart: ({ toolCallId, messages, abortSignal }) => { - log.info('Text processing tool input streaming started', { - toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputStart', - }) - }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { - log.info('Text processing tool received input chunk', { - toolCallId, - inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, - hook: 'onInputDelta', - }) - }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { - log.info('Text processing tool received input', { - toolCallId, - messageCount: messages?.length ?? 0, - inputData: { - textLength: input.text.length, - operationsCount: input.operations.length, - }, - abortSignal: abortSignal?.aborted, - hook: 'onInputAvailable', - }) - }, + toModelOutput: (output) => ({ + type: 'json', + value: output, + }), onOutput: ({ output, toolCallId, toolName, abortSignal }) => { log.info('Text processing tool completed', { toolCallId, diff --git a/src/mastra/tools/url-tool.ts b/src/mastra/tools/url-tool.ts index 480f8e34..24cf9a9a 100644 --- a/src/mastra/tools/url-tool.ts +++ b/src/mastra/tools/url-tool.ts @@ -138,40 +138,36 @@ export const urlValidationTool = createTool({ inputSchema: UrlValidationInputSchema, outputSchema: UrlValidationOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('URL validation tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('URL validation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('URL validation tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { url: input.url, operationsCount: input.operations?.length ?? 1, }, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('URL validation tool completed', { toolCallId, toolName, - abortSignal: resolveAbortSignal(abortSignal).aborted, outputData: { success: output?.success ?? false, operationsCompleted: output?.operations?.length ?? 0, @@ -354,40 +350,33 @@ export const urlManipulationTool = createTool({ inputSchema: UrlManipulationInputSchema, outputSchema: UrlManipulationOutputSchema, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('URL manipulation tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('URL manipulation tool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('URL manipulation tool received input', { toolCallId, - messageCount: messages?.length ?? 0, inputData: { baseUrl: input.baseUrl, operationsCount: input.operations.length, }, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('URL manipulation tool completed', { toolCallId, toolName, - abortSignal: resolveAbortSignal(abortSignal).aborted, outputData: { success: output.success, resultUrl: output.resultUrl, diff --git a/src/mastra/tools/weather-tool.ts b/src/mastra/tools/weather-tool.ts index f9491aa8..3ae11f24 100644 --- a/src/mastra/tools/weather-tool.ts +++ b/src/mastra/tools/weather-tool.ts @@ -11,6 +11,7 @@ import { import type { RequestContext } from '@mastra/core/request-context' import type { BaseToolRequestContext } from './request-context.utils' +import type { BackgroundTask } from '@mastra/core/background-tasks' export interface WeatherToolContextExtra extends BaseToolRequestContext { temperatureUnit?: 'celsius' | 'fahrenheit' @@ -56,31 +57,105 @@ export const weatherTool = createTool({ conditions: z.string(), location: z.string(), unit: z.string(), // Add unit to output schema + sourceUrl: z.string().url(), }), + suspendSchema: z.object({ + message: z.string(), + location: z.string(), + }), + resumeSchema: z.object({ + location: z.string(), + temperature: z.number(), + conditions: z.string(), + unit: z.string(), + }), + requestContextSchema: z.object({ + temperatureUnit: z.enum(['celsius', 'fahrenheit']) + .optional() + .describe('Preferred temperature unit'), + maxRows: z.number().int().nonnegative().optional().describe('Maximum number of rows to return'), + }), + inputExamples: [ + { input: { location: 'New York' } }, + { input: { location: 'Pittsburgh' } }, + { input: { location: 'San Francisco' } }, + { input: { location: 'Philadelphia' } }, + ], + requireApproval: false, strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + background: { + enabled: true, + timeoutMs: 30_000, // 30 seconds timeout for background execution + maxRetries: 0, // No retries for background execution + waitTimeoutMs: 0, // No wait time before starting background execution + onComplete(task: BackgroundTask) { + log.info('Weather tool background execution completed', { + id: task.id, + status: task.status, + toolCallId: task.toolCallId, + toolName: task.toolName, + hook: 'onComplete', + args: task.args, + runId: task.runId, + threadId: task.threadId, + resourceId: task.resourceId, + result: task.result, + agentId: task.agentId, + createdAt: task.createdAt, + startedAt: task.startedAt, + completedAt: task.completedAt, + error: { + message: task.error?.message, + stack: task.error?.stack, + } + }) + }, + onFailed(task: BackgroundTask) { + log.error('Weather tool background execution failed', { + id: task.id, + status: task.status, + toolCallId: task.toolCallId, + toolName: task.toolName, + args: task.args, + hook: 'onFailed', + runId: task.runId, + threadId: task.threadId, + resourceId: task.resourceId, + result: task.result, + agentId: task.agentId, + createdAt: task.createdAt, + startedAt: task.startedAt, + completedAt: task.completedAt, + timeoutMs: task.timeoutMs, + retryCount: task.retryCount, + maxRetries: task.maxRetries, + error: { + message: task.error?.message, + stack: task.error?.stack, + } + }) + } + }, + onInputStart: ({ toolCallId, messages }) => { log.info('Weather tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputStart', - abortSignal: resolveAbortSignal(abortSignal).aborted, }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('Weather tool received input chunk', { toolCallId, inputTextDelta, - abortSignal: resolveAbortSignal(abortSignal).aborted, - messageCount: messages?.length ?? 0, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('Weather tool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { location: input.location }, - abortSignal: resolveAbortSignal(abortSignal).aborted, hook: 'onInputAvailable', }) }, @@ -129,7 +204,7 @@ export const weatherTool = createTool({ 'user.id': userId, 'workspace.id': workspaceId, }, - requestContext: context?.requestContext, + requestContext: context?.requestContext as RequestContext | undefined, tracingContext, }) @@ -206,6 +281,7 @@ export const weatherTool = createTool({ const finalResult = { ...result, unit: temperatureUnit === 'celsius' ? '°C' : '°F', + sourceUrl: result.sourceUrl, } await writer?.custom({ @@ -287,9 +363,13 @@ export const weatherTool = createTool({ type: 'text' as const, text: `${String(output.temperature)}${output.unit}, ${output.conditions}.`, }, + { + type: 'text' as const, + text: `Source: ${output.sourceUrl}`, + }, ], }), - onOutput: ({ output, toolCallId, toolName, abortSignal }) => { + onOutput: ({ output, toolCallId, toolName }) => { log.info('Weather tool completed', { toolCallId, toolName, @@ -300,7 +380,6 @@ export const weatherTool = createTool({ conditions: output.conditions, }, hook: 'onOutput', - abortSignal: resolveAbortSignal(abortSignal).aborted, }) }, }) @@ -335,6 +414,7 @@ const getWeather = async ( windGust: data.current.wind_gusts_10m, conditions: getWeatherCondition(data.current.weather_code), location: name, + sourceUrl: weatherUrl, } } diff --git a/src/mastra/tools/write-note.ts b/src/mastra/tools/write-note.ts index bb84ed19..6ef1ef4e 100644 --- a/src/mastra/tools/write-note.ts +++ b/src/mastra/tools/write-note.ts @@ -26,32 +26,29 @@ export const writeNoteTool = createTool({ }), outputSchema: z.string().nonempty(), strict: true, - onInputStart: ({ toolCallId, messages, abortSignal }) => { + onInputStart: ({ toolCallId, messages }) => { log.info('writeNoteTool tool input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputStart', }) }, - onInputDelta: ({ inputTextDelta, toolCallId, messages, abortSignal }) => { + onInputDelta: ({ inputTextDelta, toolCallId, messages }) => { log.info('writeNoteTool received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages: messages ?? [], hook: 'onInputDelta', }) }, - onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { + onInputAvailable: ({ input, toolCallId, messages }) => { log.info('writeNoteTool received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages: messages ?? [], inputData: { title: input.title, content: input.content, }, - abortSignal: abortSignal?.aborted, hook: 'onInputAvailable', }) }, diff --git a/src/mastra/tools/yahoo-finance-stock.tool.ts b/src/mastra/tools/yahoo-finance-stock.tool.ts index 2a39187b..8db3162d 100644 --- a/src/mastra/tools/yahoo-finance-stock.tool.ts +++ b/src/mastra/tools/yahoo-finance-stock.tool.ts @@ -128,8 +128,8 @@ export const yahooFinanceStockQuotesTool = createTool({ onInputStart: ({ toolCallId, messages, abortSignal }) => { log.info('Yahoo Finance stock quotes input streaming started', { toolCallId, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, + abortSignal, hook: 'onInputStart', }) }, @@ -137,18 +137,18 @@ export const yahooFinanceStockQuotesTool = createTool({ log.info('Yahoo Finance stock quotes received input chunk', { toolCallId, inputTextDelta, - messageCount: messages?.length ?? 0, - abortSignal: abortSignal?.aborted, + messages, + abortSignal, hook: 'onInputDelta', }) }, onInputAvailable: ({ input, toolCallId, messages, abortSignal }) => { log.info('Yahoo Finance stock quotes received input', { toolCallId, - messageCount: messages?.length ?? 0, + messages, function: input.function, symbol: input.symbol, - abortSignal: abortSignal?.aborted, + abortSignal, hook: 'onInputAvailable', }) },