From 85175b44003c40de252fd2dcbdcd80a67485b003 Mon Sep 17 00:00:00 2001 From: Karl Cardenas Date: Wed, 4 Mar 2026 15:24:23 -0700 Subject: [PATCH 1/2] fix: add content for intermediate mcp tutorial --- .copywrite.hcl | 2 + .gitignore | 13 + Taskfile.yml | 37 + .../integrate-palette-mcp/.python-version | 1 + .../integrate-palette-mcp/README.md | 3 + .../integrate-palette-mcp/Taskfile.yaml | 11 + .../integrate-palette-mcp/agents/__init__.py | 3 + .../agents/active_cluster_agent.py | 103 ++ .../agents/palette_profile_agent.py | 107 ++ .../agents/reporter_agent.py | 73 + .../agents/tagging_agent.py | 93 ++ .../integrate-palette-mcp/helpers.py | 149 ++ ai/palette-mcp/integrate-palette-mcp/main.py | 152 ++ .../integrate-palette-mcp/pyproject.toml | 11 + ai/palette-mcp/integrate-palette-mcp/tools.py | 224 +++ ai/palette-mcp/integrate-palette-mcp/uv.lock | 1431 +++++++++++++++++ .../manifests/wordpress-default.yaml | 3 + .../manifests/wordpress-variables.yaml | 3 + 18 files changed, 2419 insertions(+) create mode 100644 Taskfile.yml create mode 100644 ai/palette-mcp/integrate-palette-mcp/.python-version create mode 100644 ai/palette-mcp/integrate-palette-mcp/README.md create mode 100644 ai/palette-mcp/integrate-palette-mcp/Taskfile.yaml create mode 100644 ai/palette-mcp/integrate-palette-mcp/agents/__init__.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/agents/active_cluster_agent.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/agents/palette_profile_agent.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/agents/reporter_agent.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/agents/tagging_agent.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/helpers.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/main.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/pyproject.toml create mode 100644 ai/palette-mcp/integrate-palette-mcp/tools.py create mode 100644 ai/palette-mcp/integrate-palette-mcp/uv.lock diff --git a/.copywrite.hcl b/.copywrite.hcl index 2401352..e8676dc 100644 --- a/.copywrite.hcl +++ b/.copywrite.hcl @@ -11,5 +11,7 @@ project { header_ignore = [ # "vendors/**", # "**autogen**", + ".venv", + "__pycache__" ] } \ No newline at end of file diff --git a/.gitignore b/.gitignore index db0ecd1..50ececf 100644 --- a/.gitignore +++ b/.gitignore @@ -40,3 +40,16 @@ my.*.tfvars *.env *.kubeconfig +## Python + +__pycache__/ +*.pyc +*.pyo +*.pyd +*.pyw +*.pyz +*.pywz +*.pyzw +*.pyzwz + +.venv/ \ No newline at end of file diff --git a/Taskfile.yml b/Taskfile.yml new file mode 100644 index 0000000..32210aa --- /dev/null +++ b/Taskfile.yml @@ -0,0 +1,37 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +version: "3" + +tasks: + init: + desc: Install dependencies and setup the project + cmds: + - echo "initializing npm dependencies" + - npm ci + - npx husky install + + help: + desc: Display this help + cmds: + - task --list + + build-docker: + desc: Build docker image + cmds: + - echo "Building docker image" + - | + docker build --build-arg PALETTE_VERSION=$PALETTE_VERSION \ + --build-arg PALETTE_CLI_VERSION=$PALETTE_CLI_VERION \ + --build-arg PALETTE_EDGE_VERSION=$PALETTE_EDGE_VERSION \ + --build-arg PACKER_VERSION=$PACKER_VERSION \ + --build-arg ORAS_VERSION=$ORAS_VERSION \ + --build-arg TERRAFORM_VERSION=$TERRAFORM_VERSION \ + --build-arg K9S_VERSION=$K9S_VERSION \ + -t tutorials . + + license: + desc: Adds a license header to all files. Reference https://github.com/hashicorp/copywrite to learn more. + cmds: + - echo "Applying license headers..." + - copywrite headers diff --git a/ai/palette-mcp/integrate-palette-mcp/.python-version b/ai/palette-mcp/integrate-palette-mcp/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/ai/palette-mcp/integrate-palette-mcp/README.md b/ai/palette-mcp/integrate-palette-mcp/README.md new file mode 100644 index 0000000..6c5db57 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/README.md @@ -0,0 +1,3 @@ +# Integrate Palette MCP + +This folder contains the demo code for the Integrate Palette MCP tutorial. The user will learn how to integrate Palette MCP into a LangChain agent workflow. diff --git a/ai/palette-mcp/integrate-palette-mcp/Taskfile.yaml b/ai/palette-mcp/integrate-palette-mcp/Taskfile.yaml new file mode 100644 index 0000000..d0a53fc --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/Taskfile.yaml @@ -0,0 +1,11 @@ +version: "3" + +dotenv: [".env", "../../../.env"] + +tasks: + start-agent: + desc: Start the Palette MCP LangChain agent + env: + DEBUG: "info" + cmds: + - uv run python main.py {{.CLI_ARGS}} diff --git a/ai/palette-mcp/integrate-palette-mcp/agents/__init__.py b/ai/palette-mcp/integrate-palette-mcp/agents/__init__.py new file mode 100644 index 0000000..fb97b30 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/agents/__init__.py @@ -0,0 +1,3 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + diff --git a/ai/palette-mcp/integrate-palette-mcp/agents/active_cluster_agent.py b/ai/palette-mcp/integrate-palette-mcp/agents/active_cluster_agent.py new file mode 100644 index 0000000..89dae25 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/agents/active_cluster_agent.py @@ -0,0 +1,103 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Palette-focused agent for active cluster mapping.""" + +from __future__ import annotations + +import importlib +from typing import Any + +from helpers import build_palette_server_config, extract_text_response, suppress_console_output + +ACTIVE_CLUSTER_SYSTEM_PROMPT = ( + "You are a Palette active-cluster mapping specialist. " + "Use only Palette MCP tools to identify active clusters that use a provided set of cluster profile UIDs. " + "Return factual results only." +) + +async def initialize_active_cluster_agent( + model: str, + debug_level: str, + default_env_file: str, + default_kubeconfig_dir: str, + default_mcp_image: str, +) -> Any: + from langchain.agents import create_agent + from langchain_openai import ChatOpenAI + + checkpoint_module = importlib.import_module("langgraph.checkpoint.memory") + InMemorySaver = checkpoint_module.InMemorySaver + + try: + mcp_client_module = importlib.import_module("langchain_mcp_adapters.client") + MultiServerMCPClient = mcp_client_module.MultiServerMCPClient + except (ImportError, AttributeError): + mcp_module = importlib.import_module("langchain_mcp_adapters") + MultiServerMCPClient = mcp_module.MultiServerMCPClient + + mcp_client = MultiServerMCPClient( + build_palette_server_config( + default_env_file=default_env_file, + default_kubeconfig_dir=default_kubeconfig_dir, + default_mcp_image=default_mcp_image, + ) + ) + hide_mcp_output = debug_level != "verbose" + with suppress_console_output(hide_mcp_output): + mcp_tools = await mcp_client.get_tools() + + llm = ChatOpenAI(model=model) + return create_agent( + model=llm, + tools=mcp_tools, + system_prompt=ACTIVE_CLUSTER_SYSTEM_PROMPT, + checkpointer=InMemorySaver(), + ) + + +async def run_active_cluster_agent( + agent: Any, + pack_name: str, + matched_profiles_output: str, + debug_level: str, + run_id: str, +) -> str: + hide_mcp_output = debug_level != "verbose" + active_cluster_prompt = ( + f"Given this profile discovery result for pack '{pack_name}':\n" + f"{matched_profiles_output}\n\n" + "Required process:\n" + "1) Extract matched profile UIDs from the input JSON.\n" + "2) Call gather_or_delete_clusters with action='list' and active_only=true.\n" + "3) For each active cluster uid from step 2, call gather_or_delete_clusters with action='get'.\n" + "4) Match clusters using explicit profile UID fields only.\n" + "5) If no clusters match, return an empty list and include every checked active cluster uid.\n\n" + "Return JSON with this shape:\n" + "{\n" + ' "pack_name": "",\n' + ' "target_profile_uids": ["", ""],\n' + ' "total_active_clusters_scanned": ,\n' + ' "active_clusters_using_matched_profiles": [\n' + " {\n" + ' "uid": "",\n' + ' "name": "",\n' + ' "cluster_profile_uid": "",\n' + ' "cluster_profile_name": "",\n' + ' "evidence_field_path": "",\n' + ' "evidence": ""\n' + " }\n" + " ],\n" + ' "checked_active_cluster_uids": ["", ""],\n' + ' "notes": ""\n' + "}\n" + ) + run_config = { + "configurable": {"thread_id": f"active-cluster:{pack_name.lower()}:{run_id}"} + } + with suppress_console_output(hide_mcp_output): + result = await agent.ainvoke( + {"messages": [{"role": "user", "content": active_cluster_prompt}]}, + config=run_config, + ) + return extract_text_response(result) diff --git a/ai/palette-mcp/integrate-palette-mcp/agents/palette_profile_agent.py b/ai/palette-mcp/integrate-palette-mcp/agents/palette_profile_agent.py new file mode 100644 index 0000000..ccee0eb --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/agents/palette_profile_agent.py @@ -0,0 +1,107 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Palette-focused agent for cluster profile discovery.""" + +from __future__ import annotations + +import importlib +from typing import Any + +from helpers import ( + build_palette_server_config, + extract_text_response, + suppress_console_output, +) + +PROFILE_FINDER_SYSTEM_PROMPT = ( + "You are a Palette profile discovery specialist. " + "Use only Palette MCP tools to find cluster profiles that include a target pack. " + "First list cluster profiles, then inspect details when needed. " + "Always capture and return cluster profile scope. " + "Return factual results only." +) + +async def initialize_profile_finder_agent( + model: str, + debug_level: str, + default_env_file: str, + default_kubeconfig_dir: str, + default_mcp_image: str, +) -> Any: + from langchain.agents import create_agent + from langchain_openai import ChatOpenAI + + checkpoint_module = importlib.import_module("langgraph.checkpoint.memory") + InMemorySaver = checkpoint_module.InMemorySaver + + try: + mcp_client_module = importlib.import_module("langchain_mcp_adapters.client") + MultiServerMCPClient = mcp_client_module.MultiServerMCPClient + except (ImportError, AttributeError): + mcp_module = importlib.import_module("langchain_mcp_adapters") + MultiServerMCPClient = mcp_module.MultiServerMCPClient + + mcp_client = MultiServerMCPClient( + build_palette_server_config( + default_env_file=default_env_file, + default_kubeconfig_dir=default_kubeconfig_dir, + default_mcp_image=default_mcp_image, + ) + ) + hide_mcp_output = debug_level != "verbose" + with suppress_console_output(hide_mcp_output): + mcp_tools = await mcp_client.get_tools() + + llm = ChatOpenAI(model=model) + return create_agent( + model=llm, + tools=mcp_tools, + system_prompt=PROFILE_FINDER_SYSTEM_PROMPT, + checkpointer=InMemorySaver(), + ) + + +async def run_profile_finder_agent( + agent: Any, + pack_name: str, + debug_level: str, + run_id: str, +) -> str: + hide_mcp_output = debug_level != "verbose" + profile_finder_prompt = ( + "Find all cluster profiles in Palette that use the pack named " + f"'{pack_name}'. Use Palette MCP tools only.\n\n" + "Required process:\n" + "1) Call gather_or_delete_clusterprofiles with action='list'.\n" + "2) If list output lacks pack details, call action='get' for relevant cluster profile uids.\n" + "3) Match pack name case-insensitively.\n" + "4) For each matched profile, include scope from metadata.annotations.scope when available.\n" + "5) If scope is missing, set scope to 'unknown' and mention in notes.\n\n" + "Important:\n" + "- Return only profile-level results. Do not query clusters in this agent.\n\n" + "Return JSON with this shape:\n" + "{\n" + ' "pack_name": "",\n' + ' "total_profiles_scanned": ,\n' + ' "matched_profiles": [\n' + " {\n" + ' "uid": "",\n' + ' "name": "",\n' + ' "scope": "",\n' + ' "pack_references": ["", ""],\n' + ' "evidence": ""\n' + " }\n" + " ],\n" + ' "notes": ""\n' + "}\n" + ) + run_config = { + "configurable": {"thread_id": f"profile-finder:{pack_name.lower()}:{run_id}"} + } + with suppress_console_output(hide_mcp_output): + result = await agent.ainvoke( + {"messages": [{"role": "user", "content": profile_finder_prompt}]}, + config=run_config, + ) + return extract_text_response(result) diff --git a/ai/palette-mcp/integrate-palette-mcp/agents/reporter_agent.py b/ai/palette-mcp/integrate-palette-mcp/agents/reporter_agent.py new file mode 100644 index 0000000..02d348a --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/agents/reporter_agent.py @@ -0,0 +1,73 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Reporter agent that formats discovery output for humans.""" + +from __future__ import annotations + +import importlib +from typing import Any + +from helpers import extract_text_response + +REPORTER_SYSTEM_PROMPT = ( + "You are a reporting agent. Produce clear, structured, concise reports. " + "Do not invent data. If discovery data is uncertain, call that out clearly." +) + +async def initialize_reporter_agent(model: str) -> Any: + from langchain.agents import create_agent + from langchain_openai import ChatOpenAI + + checkpoint_module = importlib.import_module("langgraph.checkpoint.memory") + InMemorySaver = checkpoint_module.InMemorySaver + + llm = ChatOpenAI(model=model) + return create_agent( + model=llm, + tools=[], + system_prompt=REPORTER_SYSTEM_PROMPT, + checkpointer=InMemorySaver(), + ) + + +async def run_reporter_agent( + agent: Any, + pack_name: str, + profile_discovery_output: str, + active_cluster_output: str, + tagging_output: str, + run_id: str, +) -> str: + reporter_prompt = ( + f"Create a report for cluster profiles using pack '{pack_name}'.\n\n" + "Use these outputs as the source of truth:\n\n" + "Profile discovery output:\n" + f"{profile_discovery_output}\n\n" + "Active cluster mapping output:\n" + f"{active_cluster_output}\n\n" + "Tagging output:\n" + f"{tagging_output}\n\n" + "Output format:\n" + "1) Summary (1-2 sentences)\n" + "2) Matching cluster profiles (bullet list with uid, name, and evidence)\n" + "3) Active clusters using the matched cluster profiles (bullet list with uid, name, cluster profile uid, and cluster profile name)\n" + "4) Tagging results for clusters and cluster profiles (what was tagged, success/failure)\n" + " Include a separate list of skipped cluster profiles with reason (for example, scope=system).\n" + "5) Notes and caveats\n" + "If active cluster data appears incomplete or unchecked, explicitly say the result may be incomplete.\n" + "If there are no matching cluster profiles, return 'No matching cluster profiles found' in the summary and omit the rest of the output." + ) + run_config = {"configurable": {"thread_id": f"reporter:{pack_name.lower()}:{run_id}"}} + result = await agent.ainvoke( + { + "messages": [ + { + "role": "user", + "content": reporter_prompt, + } + ] + }, + config=run_config, + ) + return extract_text_response(result) diff --git a/ai/palette-mcp/integrate-palette-mcp/agents/tagging_agent.py b/ai/palette-mcp/integrate-palette-mcp/agents/tagging_agent.py new file mode 100644 index 0000000..7ec6e12 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/agents/tagging_agent.py @@ -0,0 +1,93 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Agent that tags matched active clusters for review.""" + +from __future__ import annotations + +import importlib +from typing import Any + +from helpers import extract_text_response +from tools import tag_cluster_for_review, tag_cluster_profile_for_review + +TAGGING_SYSTEM_PROMPT = ( + "You are a cluster tagging specialist. " + "Your only job is to apply review tags to active clusters and matched cluster profiles provided in the input. " + "Never tag cluster profiles with scope='system'. " + "Use the available tagging tools and do not invent UIDs." +) + + +async def initialize_tagging_agent(model: str) -> Any: + from langchain.agents import create_agent + from langchain_openai import ChatOpenAI + + checkpoint_module = importlib.import_module("langgraph.checkpoint.memory") + InMemorySaver = checkpoint_module.InMemorySaver + + llm = ChatOpenAI(model=model) + return create_agent( + model=llm, + tools=[tag_cluster_for_review, tag_cluster_profile_for_review], + system_prompt=TAGGING_SYSTEM_PROMPT, + checkpointer=InMemorySaver(), + ) + + +async def run_tagging_agent( + agent: Any, + pack_name: str, + profile_discovery_output: str, + active_cluster_output: str, + run_id: str, +) -> str: + tagging_prompt = ( + f"Given this profile discovery output for pack '{pack_name}':\n" + f"{profile_discovery_output}\n\n" + f"Given this active cluster mapping output for pack '{pack_name}':\n" + f"{active_cluster_output}\n\n" + "Task:\n" + "1) Extract unique cluster UIDs from active_clusters_using_matched_profiles.\n" + "2) Extract unique cluster profile UIDs and scope values from matched_profiles.\n" + "3) For each cluster UID, call tag_cluster_for_review once.\n" + "4) For each cluster profile UID, call tag_cluster_profile_for_review once only if scope is not 'system'.\n" + "5) For scope='system' profiles, skip tagging and record skip reason.\n" + "5) Return JSON with this shape:\n" + "{\n" + ' "pack_name": "",\n' + ' "requested_tags": ["nginx:present", "review:required"],\n' + ' "clusters_attempted": ["", ""],\n' + ' "cluster_profiles_attempted": ["", ""],\n' + ' "cluster_results": [\n' + " {\n" + ' "cluster_uid": "",\n' + ' "tool_call_status": "",\n' + ' "tool_output": ""\n' + " }\n" + " ],\n" + ' "cluster_profile_results": [\n' + " {\n" + ' "cluster_profile_uid": "",\n' + ' "scope": "",\n' + ' "tool_call_status": "",\n' + ' "tool_output": ""\n' + " }\n" + " ],\n" + ' "cluster_profile_skipped": [\n' + " {\n" + ' "cluster_profile_uid": "",\n' + ' "scope": "system",\n' + ' "reason": "scope system is not taggable"\n' + " }\n" + " ],\n" + ' "notes": ""\n' + "}\n" + "If there are no resources to tag, return empty arrays and explain in notes." + ) + run_config = {"configurable": {"thread_id": f"tagging:{pack_name.lower()}:{run_id}"}} + result = await agent.ainvoke( + {"messages": [{"role": "user", "content": tagging_prompt}]}, + config=run_config, + ) + return extract_text_response(result) diff --git a/ai/palette-mcp/integrate-palette-mcp/helpers.py b/ai/palette-mcp/integrate-palette-mcp/helpers.py new file mode 100644 index 0000000..4752d00 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/helpers.py @@ -0,0 +1,149 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Helper functions for the Palette MCP tutorial agent.""" + +from __future__ import annotations + +import asyncio +import contextlib +import os +import shutil +import sys +from collections.abc import Awaitable +from typing import Any, TextIO + +VALID_DEBUG_LEVELS = {"warn", "info", "verbose"} + + +def get_debug_level() -> str: + debug_value = os.getenv("DEBUG") or os.getenv("debug") or "warn" + debug_level = debug_value.strip().lower() + if debug_level not in VALID_DEBUG_LEVELS: + print(f"Warning: invalid DEBUG='{debug_value}'. Falling back to 'warn'.") + return "warn" + return debug_level + + +def is_debug_enabled(current_level: str, min_level: str) -> bool: + levels = {"warn": 1, "info": 2, "verbose": 3} + return levels[current_level] >= levels[min_level] + + +@contextlib.contextmanager +def suppress_console_output(enabled: bool) -> Any: + """Temporarily suppress process stdout/stderr.""" + if not enabled: + yield + return + + devnull = open(os.devnull, "w", encoding="utf-8") + old_stdout_fd = os.dup(1) + old_stderr_fd = os.dup(2) + try: + os.dup2(devnull.fileno(), 1) + os.dup2(devnull.fileno(), 2) + yield + finally: + os.dup2(old_stdout_fd, 1) + os.dup2(old_stderr_fd, 2) + os.close(old_stdout_fd) + os.close(old_stderr_fd) + devnull.close() + + +def ensure_local_prerequisites( + require_kubectl: bool = True, + require_curl: bool = False, +) -> None: + if shutil.which("docker") is None: + raise RuntimeError("Docker is not available in PATH.") + if require_kubectl and shutil.which("kubectl") is None: + raise RuntimeError("kubectl is not available in PATH.") + if require_curl and shutil.which("curl") is None: + raise RuntimeError("curl is not available in PATH.") + if not os.getenv("OPENAI_API_KEY"): + raise RuntimeError("OPENAI_API_KEY is not set.") + + +def build_palette_server_config( + default_env_file: str, + default_kubeconfig_dir: str, + default_mcp_image: str, +) -> dict[str, dict[str, Any]]: + env_file = os.getenv("PALETTE_MCP_ENV_FILE", default_env_file) + kubeconfig_dir = os.getenv("PALETTE_MCP_KUBECONFIG_DIR", default_kubeconfig_dir) + mcp_image = os.getenv("PALETTE_MCP_IMAGE", default_mcp_image) + + return { + "palette": { + "transport": "stdio", + "command": "docker", + "args": [ + "run", + "--rm", + "-i", + "--mount", + f"type=bind,source={kubeconfig_dir},target=/tmp/kubeconfig", + "--env-file", + env_file, + mcp_image, + ], + } + } + + +def extract_text_response(result: dict[str, Any]) -> str: + """Best-effort extraction of final agent text from LangChain result payload.""" + messages = result.get("messages") + if isinstance(messages, list): + for message in reversed(messages): + content = getattr(message, "content", None) + if isinstance(content, str) and content.strip(): + return content + if isinstance(content, list): + text_parts = [ + part.get("text", "") + for part in content + if isinstance(part, dict) and part.get("type") == "text" + ] + joined = "\n".join(part for part in text_parts if part.strip()).strip() + if joined: + return joined + + return str(result) + + +def _get_status_stream() -> tuple[TextIO, bool]: + """Use terminal directly so status remains visible when stdout is suppressed.""" + try: + return open("/dev/tty", "w", encoding="utf-8"), True + except OSError: + return sys.stdout, False + + +async def _thinking_indicator(stream: TextIO, interval_seconds: int = 2) -> None: + """Show a simple progress line while the agent is working.""" + frames = ["Thinking ...", "Thinking ....", "Thinking ....."] + index = 0 + while True: + message = frames[index % len(frames)] + stream.write(f"\r{message}") + stream.flush() + index += 1 + await asyncio.sleep(interval_seconds) + + +async def run_with_thinking_indicator(work: Awaitable[str]) -> str: + stream, should_close = _get_status_stream() + indicator_task = asyncio.create_task(_thinking_indicator(stream)) + try: + return await work + finally: + indicator_task.cancel() + with contextlib.suppress(asyncio.CancelledError): + await indicator_task + stream.write("\r" + (" " * 40) + "\r") + stream.flush() + if should_close: + stream.close() diff --git a/ai/palette-mcp/integrate-palette-mcp/main.py b/ai/palette-mcp/integrate-palette-mcp/main.py new file mode 100644 index 0000000..7eb3076 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/main.py @@ -0,0 +1,152 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""One-shot workflow runner for Palette finder + reporter agents.""" + +from __future__ import annotations + +import argparse +import asyncio +import os +import sys +import uuid + +from helpers import ( + ensure_local_prerequisites, + get_debug_level, + is_debug_enabled, + run_with_thinking_indicator, +) +from agents.active_cluster_agent import ( + initialize_active_cluster_agent, + run_active_cluster_agent, +) +from agents.palette_profile_agent import ( + initialize_profile_finder_agent, + run_profile_finder_agent, +) +from agents.reporter_agent import initialize_reporter_agent, run_reporter_agent +from agents.tagging_agent import initialize_tagging_agent, run_tagging_agent + +DEFAULT_MODEL = "gpt-5-nano-2025-08-07" +DEFAULT_MCP_IMAGE = "public.ecr.aws/palette-ai/palette-mcp-server:latest" +DEFAULT_ENV_FILE = os.path.expanduser("~/.palette/.env-mcp") +DEFAULT_KUBECONFIG_DIR = os.path.expanduser("~/projects/spectro-cloud/mcp-kubeconfig") +DEFAULT_PACK_NAME = "nginx" + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="One-shot workflow: Palette profile finder agent + reporter agent." + ) + parser.add_argument( + "--pack", + default=os.getenv("PACK_NAME", DEFAULT_PACK_NAME), + help=f"Target pack name to search in cluster profiles (default: {DEFAULT_PACK_NAME}).", + ) + parser.add_argument( + "--model", + default=os.getenv("OPENAI_MODEL", DEFAULT_MODEL), + help=f"Model for the profile finder agent (default: {DEFAULT_MODEL}).", + ) + parser.add_argument( + "--active-cluster-model", + default=os.getenv("OPENAI_ACTIVE_CLUSTER_MODEL", os.getenv("OPENAI_MODEL", DEFAULT_MODEL)), + help="Model for the active cluster finder agent (default: OPENAI_ACTIVE_CLUSTER_MODEL or OPENAI_MODEL).", + ) + parser.add_argument( + "--reporter-model", + default=os.getenv("OPENAI_REPORTER_MODEL", os.getenv("OPENAI_MODEL", DEFAULT_MODEL)), + help="Model for the reporter agent (default: OPENAI_REPORTER_MODEL or OPENAI_MODEL).", + ) + parser.add_argument( + "--tagging-model", + default=os.getenv("OPENAI_TAGGING_MODEL", os.getenv("OPENAI_MODEL", DEFAULT_MODEL)), + help="Model for the tagging agent (default: OPENAI_TAGGING_MODEL or OPENAI_MODEL).", + ) + return parser.parse_args() + + +async def main_async() -> None: + args = parse_args() + run_id = uuid.uuid4().hex[:8] + debug_level = get_debug_level() + ensure_local_prerequisites(require_kubectl=False, require_curl=True) + + if is_debug_enabled(debug_level, "info"): + print(f"Debug level: {debug_level}") + print(f"Run ID: {run_id}") + print("Initializing profile finder agent...") + + profile_finder_agent = await initialize_profile_finder_agent( + model=args.model, + debug_level=debug_level, + default_env_file=DEFAULT_ENV_FILE, + default_kubeconfig_dir=DEFAULT_KUBECONFIG_DIR, + default_mcp_image=DEFAULT_MCP_IMAGE, + ) + active_cluster_agent = await initialize_active_cluster_agent( + model=args.active_cluster_model, + debug_level=debug_level, + default_env_file=DEFAULT_ENV_FILE, + default_kubeconfig_dir=DEFAULT_KUBECONFIG_DIR, + default_mcp_image=DEFAULT_MCP_IMAGE, + ) + tagging_agent = await initialize_tagging_agent(model=args.tagging_model) + reporter_agent = await initialize_reporter_agent(model=args.reporter_model) + + if is_debug_enabled(debug_level, "info"): + print(f"Running profile discovery for pack: {args.pack}") + + profile_discovery_output = await run_with_thinking_indicator( + run_profile_finder_agent(profile_finder_agent, args.pack, debug_level, run_id) + ) + + if is_debug_enabled(debug_level, "info"): + print("Finding active clusters using matched profiles...") + + active_cluster_output = await run_with_thinking_indicator( + run_active_cluster_agent( + active_cluster_agent, + args.pack, + profile_discovery_output, + debug_level, + run_id, + ) + ) + + if is_debug_enabled(debug_level, "info"): + print("Tagging active clusters...") + + tagging_output = await run_with_thinking_indicator( + run_tagging_agent( + tagging_agent, + args.pack, + profile_discovery_output, + active_cluster_output, + run_id, + ) + ) + + if is_debug_enabled(debug_level, "info"): + print("Formatting report...") + + final_report = await run_with_thinking_indicator( + run_reporter_agent( + reporter_agent, + args.pack, + profile_discovery_output, + active_cluster_output, + tagging_output, + run_id, + ) + ) + print(final_report) + +if __name__ == "__main__": + try: + asyncio.run(main_async()) + except KeyboardInterrupt: + print("\nExiting.") + except Exception as exc: # Keep tutorial errors readable. + print(f"Error: {exc}", file=sys.stderr) diff --git a/ai/palette-mcp/integrate-palette-mcp/pyproject.toml b/ai/palette-mcp/integrate-palette-mcp/pyproject.toml new file mode 100644 index 0000000..eefcbf7 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "integrate-palette-mcp" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "langchain>=1.2.10", + "langchain-mcp-adapters>=0.2.1", + "langchain-openai>=1.1.10", +] diff --git a/ai/palette-mcp/integrate-palette-mcp/tools.py b/ai/palette-mcp/integrate-palette-mcp/tools.py new file mode 100644 index 0000000..e962272 --- /dev/null +++ b/ai/palette-mcp/integrate-palette-mcp/tools.py @@ -0,0 +1,224 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + +"""Local LangChain tools used by the tutorial agent.""" + +from __future__ import annotations + +import os +import json +import re +import shlex +import subprocess +from typing import Any + +from langchain.tools import tool + + +@tool +def kubectl(command: str) -> str: + """Run kubectl locally and return stdout, stderr, and return code.""" + if not command.strip(): + return "STDOUT:\n\nSTDERR:\nMissing kubectl command.\nRC: 2" + + try: + args = shlex.split(command) + except ValueError as exc: + return f"STDOUT:\n\nSTDERR:\nInvalid command syntax: {exc}\nRC: 2" + + try: + result = subprocess.run( + ["kubectl", *args], + capture_output=True, + text=True, + timeout=30, + check=False, + ) + except subprocess.TimeoutExpired: + return "STDOUT:\n\nSTDERR:\nkubectl command timed out after 30s.\nRC: 124" + except OSError as exc: + return f"STDOUT:\n\nSTDERR:\nFailed to execute kubectl: {exc}\nRC: 127" + + return ( + f"STDOUT:\n{result.stdout.rstrip()}\n\n" + f"STDERR:\n{result.stderr.rstrip()}\n" + f"RC: {result.returncode}" + ) + + +def _read_env_file(path: str) -> dict[str, str]: + values: dict[str, str] = {} + if not os.path.isfile(path): + return values + + with open(path, encoding="utf-8") as env_file: + for raw_line in env_file: + line = raw_line.strip() + if not line or line.startswith("#"): + continue + if line.startswith("export "): + line = line[len("export ") :].strip() + if "=" not in line: + continue + key, value = line.split("=", 1) + key = key.strip() + value = value.strip().strip('"').strip("'") + if key: + values[key] = value + + return values + + +def _resolve_palette_env_file_path() -> str: + return os.path.expanduser("~/.palette/.env-mcp") + + +def _normalize_key(key: str) -> str: + normalized = key.strip().upper() + return "".join(ch for ch in normalized if ch.isalnum()) + + +def _first_non_empty(source: dict[str, str], keys: list[str]) -> str: + normalized_source = {_normalize_key(k): v for k, v in source.items()} + for key in keys: + value = normalized_source.get(_normalize_key(key), "") + if value.strip(): + return value.strip() + return "" + + +def _resolve_palette_credentials() -> tuple[str, str, str]: + project_uid_keys = [ + "SPECTROCLOUD_DEFAULT_PROJECT_ID", + ] + api_key_keys = [ + "SPECTROCLOUD_APIKEY", + ] + host_keys = [ + "SPECTROCLOUD_HOST", + ] + + project_uid = _first_non_empty(os.environ, project_uid_keys) + api_key = _first_non_empty(os.environ, api_key_keys) + host = _first_non_empty(os.environ, host_keys) + if not host: + host = "https://api.spectrocloud.com" + if project_uid and api_key: + if not host.startswith(("http://", "https://")): + host = f"https://{host}" + return project_uid, api_key, host + + env_file_path = _resolve_palette_env_file_path() + env_values = _read_env_file(env_file_path) + if not project_uid: + project_uid = _first_non_empty(env_values, project_uid_keys) + if not api_key: + api_key = _first_non_empty(env_values, api_key_keys) + if host == "https://api.spectrocloud.com": + parsed_host = _first_non_empty(env_values, host_keys) + if parsed_host: + host = parsed_host + + if not host.startswith(("http://", "https://")): + host = f"https://{host}" + + return project_uid, api_key, host + + +@tool +def tag_cluster_for_review(cluster_uid: str) -> str: + """Tag a Palette cluster with nginx/review labels via curl.""" + if not cluster_uid.strip(): + return "STDOUT:\n\nSTDERR:\nMissing cluster UID.\nRC: 2" + + return _patch_palette_metadata( + resource_path=f"/v1/spectroclusters/{cluster_uid}/metadata", + missing_identifier_error="Missing cluster UID.", + ) + + +@tool +def tag_cluster_profile_for_review(cluster_profile_uid: str) -> str: + """Tag a Palette cluster profile with nginx/review labels via curl.""" + if not cluster_profile_uid.strip(): + return "STDOUT:\n\nSTDERR:\nMissing cluster profile UID.\nRC: 2" + + return _patch_palette_metadata( + resource_path=f"/v1/clusterprofiles/{cluster_profile_uid}/metadata", + missing_identifier_error="Missing cluster profile UID.", + ) + + +def _patch_palette_metadata(resource_path: str, missing_identifier_error: str) -> str: + if not resource_path.strip(): + return f"STDOUT:\n\nSTDERR:\n{missing_identifier_error}\nRC: 2" + + env_file_path = _resolve_palette_env_file_path() + project_uid, api_key, host = _resolve_palette_credentials() + if not project_uid: + return ( + "STDOUT:\n\nSTDERR:\n" + "Missing project UID. Checked env and " + f"{env_file_path} for project UID keys.\nRC: 2" + ) + if not api_key: + return ( + "STDOUT:\n\nSTDERR:\n" + "Missing API key. Checked env and " + f"{env_file_path} for API key keys.\nRC: 2" + ) + + payload: dict[str, Any] = { + "metadata": { + "labels": { + "nginx": "present", + "review": "required", + } + } + } + url = f"{host.rstrip('/')}{resource_path}" + command = [ + "curl", + "--location", + "--silent", + "--show-error", + "--request", + "PATCH", + url, + "--header", + f"ProjectUid: {project_uid}", + "--header", + "Content-Type: application/json", + "--header", + f"apiKey: {api_key}", + "--data", + json.dumps(payload), + "--write-out", + "\nHTTP_STATUS:%{http_code}", + ] + + try: + result = subprocess.run( + command, + capture_output=True, + text=True, + timeout=30, + check=False, + ) + except subprocess.TimeoutExpired: + return "STDOUT:\n\nSTDERR:\nTagging request timed out after 30s.\nRC: 124" + except OSError as exc: + return f"STDOUT:\n\nSTDERR:\nFailed to execute curl: {exc}\nRC: 127" + + stdout_text = result.stdout.rstrip() + status_match = re.search(r"HTTP_STATUS:(\d{3})\s*$", stdout_text) + 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a/terraform/cluster-profile-variables-tf/manifests/wordpress-default.yaml +++ b/terraform/cluster-profile-variables-tf/manifests/wordpress-default.yaml @@ -1,3 +1,6 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + pack: #The namespace (on the target cluster) to install this chart #When not found, a new namespace will be created diff --git a/terraform/cluster-profile-variables-tf/manifests/wordpress-variables.yaml b/terraform/cluster-profile-variables-tf/manifests/wordpress-variables.yaml index aeb9844..5144081 100644 --- a/terraform/cluster-profile-variables-tf/manifests/wordpress-variables.yaml +++ b/terraform/cluster-profile-variables-tf/manifests/wordpress-variables.yaml @@ -1,3 +1,6 @@ +# Copyright (c) Spectro Cloud +# SPDX-License-Identifier: Apache-2.0 + pack: #The namespace (on the target cluster) to install this chart #When not found, a new namespace will be created From 13303158a2d38cafc0e8d0868cc9399ff5eb6351 Mon Sep 17 00:00:00 2001 From: Karl Cardenas Date: Wed, 4 Mar 2026 15:25:20 -0700 Subject: [PATCH 2/2] chore: fix husky warning --- .husky/commit-msg | 2 -- 1 file changed, 2 deletions(-) diff --git a/.husky/commit-msg b/.husky/commit-msg index d1f519e..4a40d38 100755 --- a/.husky/commit-msg +++ b/.husky/commit-msg @@ -1,3 +1 @@ -#!/usr/bin/env sh -. "$(dirname -- "$0")/_/husky.sh" npx --no -- commitlint --edit '' \ No newline at end of file