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chore(deps): update dependency pydantic-ai to >=1.84.1#495
renovate[bot] wants to merge 1 commit intomainfrom
renovate/pydantic-ai-1.x

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@renovate renovate bot commented Apr 17, 2026

This PR contains the following updates:

Package Change Age Confidence
pydantic-ai (changelog) >=1.57.0>=1.84.1 age confidence

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Release Notes

pydantic/pydantic-ai (pydantic-ai)

v1.84.1: (2026-04-17)

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What's Changed

🐛 Bug Fixes

Full Changelog: pydantic/pydantic-ai@v1.84.0...v1.84.1

v1.84.0: (2026-04-16)

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What's Changed

🔒 Security
  • Fix exponential-time regex in Google FileSearchTool response parsing by @​DouweM in #​5106. This was first released in yesterday's v1.83.0. The pattern was reachable in principle from Gemini streaming responses but could not be triggered via real Gemini output in testing, so we're treating it as a hardening fix rather than a vulnerability.
🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.83.0...v1.84.0

v1.83.0: (2026-04-15)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🚀 Features

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.82.0...v1.83.0

v1.82.0: (2026-04-14)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🐛 Bug Fixes
📦 Dependencies

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.81.0...v1.82.0

v1.81.0: (2026-04-13)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.80.0...v1.81.0

v1.80.0: (2026-04-10)

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What's Changed

🚀 Features
  • Add CapabilityOrdering (innermost, outermost, wraps, wrapped_by, requires`) by @​DouweM in #​5036
  • Hooks ordering parameter and instance refs in wraps/wrapped_by by @​DouweM in #​5048
  • Add server-side compaction support via OpenAICompaction and AnthropicCompaction capabilities by @​DouweM in #​4943
🐛 Bug Fixes

Full Changelog: pydantic/pydantic-ai@v1.79.0...v1.80.0

v1.79.0: (2026-04-09)

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What's Changed

🚀 Features
  • Full support for AG-UI 0.1.13 and 0.1.15: reasoning, multi-modal, dump_messages by @​dsfaccini in #​3971
  • Replace HTTP client cache with create_async_http_client and context manager by @​dsfaccini in #​4421
  • Add apply() to AbstractCapability, CombinedCapability, and WrapperCapability by @​DouweM in #​5022
🐛 Bug Fixes
  • fix: update internal $refs in renamed schema defs, handle missing keywords, and detect semantically different defs by @​Ricardo-M-L in #​5020
  • fix: force streaming in run() when capability/hook overrides wrap_run_event_stream by @​DouweM in #​5028
  • Fix on_node_run_error and after_node_run hook recovery by @​DouweM in #​5023
  • fix: add missing space in provider UserError messages by @​graydeon in #​4976

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.78.0...v1.79.0

v1.78.0: (2026-04-07)

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What's Changed

🚀 Features

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.77.0...v1.78.0

v1.77.0: (2026-04-02)

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What's Changed

🚀 Features
  • feat: add local WebFetch tool and have WebFetch capability use it when provider lacks builtin support by @​DEENUU1 in #​4906
  • Add defer_loading to tools and toolsets to enable tool search by @​dsfaccini in #​4090
  • Add ThreadExecutor capability and Agent.using_thread_executor() by @​DouweM in #​4942
  • feat: smart instruction caching — automatically insert Anthropic/Bedrock cache boundary at static/dynamic split by @​Alex-Resch in #​4865
  • Support server_message_id in VercelAIEventStream by @​dsfaccini in #​4579
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.76.0...v1.77.0

v1.76.0: (2026-04-01)

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What's Changed

🚀 Features
  • Have ImageGeneration capability auto-fallback to subagent with imagegen model if main model lacks imagegen by @​DouweM in #​4910
  • Add agent to RunContext by @​DouweM in #​4922
🐛 Bug Fixes
📦 Dependencies

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.75.0...v1.76.0

v1.75.0: (2026-03-31)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.74.0...v1.75.0

v1.74.0: (2026-03-30)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.73.0...v1.74.0

v1.73.0: (2026-03-26)

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What's Changed

🚀 Features
🐛 Bug Fixes
📦 Dependencies

Full Changelog: pydantic/pydantic-ai@v1.72.0...v1.73.0

v1.72.0: (2026-03-25)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.71.0...v1.72.0

v1.71.0: (2026-03-24)

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What's Changed

🚀 Features

Full Changelog: pydantic/pydantic-ai@v1.70.0...v1.71.0

v1.70.0: (2026-03-17)

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What's Changed

🚀 Features
  • Add bedrock_inference_profile to BedrockModelSettings and BedrockEmbeddingSettings by @​dsfaccini in #​4697
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.69.0...v1.70.0

v1.69.0: (2026-03-16)

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What's Changed

🚀 Features
  • Add description parameter to Agent and set gen_ai.agent.description on span by @​Kludex in #​4677
  • Send multimodal tool results to APIs directly instead of splitting into user parts by @​dsfaccini in #​3826
  • Add response-based fallback support for FallbackModel by @​sarth6 in #​3786
🐛 Bug Fixes

Full Changelog: pydantic/pydantic-ai@v1.68.0...v1.69.0

v1.68.0: (2026-03-12)

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What's Changed

Changes
🐛 Bug Fixes
📦 Dependencies

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.67.0...v1.68.0

What's Changed

🚀 Features
🐛 Bug Fixes
📦 Dependencies

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.67.0...v1.68.0

v1.67.0: (2026-03-06)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.66.0...v1.67.0

v1.66.0: (2026-03-04)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.65.0...v1.66.0

v1.65.0: (2026-03-03)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.64.0...v1.65.0

v1.64.0: (2026-03-02)

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What's Changed

🚀 Features
  • feat: support template=False on PromptedOutput and NativeOutput to disable schema prompt by @​DouweM in #​4497
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.63.0...v1.64.0

v1.63.0: (2026-02-23)

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What's Changed

🚀 Features
🐛 Bug Fixes

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.62.0...v1.63.0

v1.62.0: (2026-02-18)

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What's Changed

🚀 Features
🐛 Bug Fixes
  • Fix missing pages in llms.txt and llms-full.txt by @​DouweM in #​4355
  • Handle Groq tool_use_failed errors without tool name/args by retrying by @​DouweM in #​4354
  • fix: handle content filter refusals for Google prompt_feedback and OpenAI refusals by @​DouweM in #​4315
📦 Dependencies

Full Changelog: pydantic/pydantic-ai@v1.61.0...v1.62.0


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renovate bot commented Apr 17, 2026

⚠️ Artifact update problem

Renovate failed to update an artifact related to this branch. You probably do not want to merge this PR as-is.

♻ Renovate will retry this branch, including artifacts, only when one of the following happens:

  • any of the package files in this branch needs updating, or
  • the branch becomes conflicted, or
  • you click the rebase/retry checkbox if found above, or
  • you rename this PR's title to start with "rebase!" to trigger it manually

The artifact failure details are included below:

File name: uv.lock
Command failed: uv lock --upgrade-package pydantic-ai
Downloading cpython-3.13.13-linux-x86_64-gnu (download) (33.7MiB)
 Downloaded cpython-3.13.13-linux-x86_64-gnu (download)
Using CPython 3.13.13
  × No solution found when resolving dependencies for split (markers:
  │ python_full_version >= '3.14'):
  ╰─▶ Because all of:
          transformers>=4.54.0,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.34.0,<1.0 and huggingface-hub>=0.30.0,<1.0,
      we can conclude that all of:
          transformers>=4.51.0,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.30.0,<1.0.
      And because transformers>=4.49.0,<=4.50.3 depends on
      huggingface-hub>=0.26.0,<1.0, we can conclude that all of:
          transformers>=4.49.0,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.26.0,<1.0.
      And because transformers>=4.47.0,<=4.48.3 depends on
      huggingface-hub>=0.24.0,<1.0 and huggingface-hub>=0.23.2,<1.0, we can
      conclude that all of:
          transformers>=4.42.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.23.2,<1.0.
      And because transformers>=4.41.0,<=4.41.2 depends on
      huggingface-hub>=0.23.0,<1.0 and huggingface-hub>=0.19.3,<1.0, we can
      conclude that all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.19.3,<1.0.
      And because pydantic-ai-slim[huggingface]==1.84.1 depends
      on huggingface-hub>=1.3.4 and pydantic-ai==1.84.1 depends on
      pydantic-ai-slim[huggingface]==1.84.1, we can conclude that
      pydantic-ai==1.84.1 and all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
       are incompatible.
      And because only pydantic-ai<=1.84.1 is available and
      mcp-optimizer:examples depends on pydantic-ai>=1.84.1, we can conclude
      that mcp-optimizer:examples and all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
       are incompatible.
      And because optimum-onnx==0.1.0 depends on transformers>=4.36,<4.58.0
      and optimum[onnxruntime]==2.1.0 depends on optimum-onnx[onnxruntime], we
      can conclude that optimum[onnxruntime]==2.1.0, all of:
          transformers<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1
      , optimum-onnx[onnxruntime]>=0.1.0, mcp-optimizer:examples are
      incompatible.
      And because only the following versions of optimum-onnx[onnxruntime]
      are available:
          optimum-onnx[onnxruntime]==0.0.1
          optimum-onnx[onnxruntime]==0.0.2
          optimum-onnx[onnxruntime]==0.0.3
          optimum-onnx[onnxruntime]==0.1.0
      and transformers==4.57.0 was yanked (reason: Error in the setup causing
      installation issues), we can conclude that optimum[onnxruntime]==2.1.0,
      optimum-onnx>0.0.3, all of:
          transformers<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1
      , mcp-optimizer:examples are incompatible.
      And because transformers==4.52.0 was yanked and transformers==4.46.0
      was yanked (reason: This version unfortunately does not work with
      3.8 but we did not drop the support yet), we can conclude that
      optimum[onnxruntime]==2.1.0, optimum-onnx>0.0.3, all of:
          transformers<=4.36.0
          transformers==4.36.1
          transformers==4.36.2
          transformers==4.37.0
          transformers==4.37.1
          transformers==4.37.2
          transformers==4.38.0
          transformers==4.38.1
          transformers==4.38.2
          transformers==4.39.0
          transformers==4.39.1
          transformers==4.39.2
          transformers==4.39.3
          transformers==4.40.0
          transformers==4.40.1
          transformers==4.40.2
          transformers==4.41.0
          transformers==4.41.1
          transformers==4.41.2
          transformers==4.42.0
          transformers==4.42.1
          transformers==4.42.2
          transformers==4.42.3
          transformers==4.42.4
          transformers==4.43.0
          transformers==4.43.1
          transformers==4.43.2
          transformers==4.43.3
          transformers==4.43.4
          transformers==4.44.0
          transformers==4.44.1
          transformers==4.44.2
          transformers==4.45.0
          transformers==4.45.1
          transformers==4.45.2
          transformers==4.46.0
          transformers==4.46.1
          transformers==4.46.2
          transformers==4.46.3
          transformers==4.47.0
          transformers==4.47.1
          transformers==4.48.0
          transformers==4.48.1
          transformers==4.48.2
          transformers==4.48.3
          transformers==4.49.0
          transformers==4.50.0
          transformers==4.50.1
          transformers==4.50.2
          transformers==4.50.3
          transformers==4.51.0
          transformers==4.51.1
          transformers==4.51.2
          transformers==4.51.3
          transformers==4.52.0
          transformers==4.52.1
          transformers==4.52.2
          transformers==4.52.3
          transformers==4.52.4
          transformers==4.53.0
          transformers==4.53.1
          transformers==4.53.2
          transformers==4.53.3
          transformers==4.54.0
          transformers==4.54.1
          transformers==4.55.0
          transformers==4.55.1
          transformers==4.55.2
          transformers==4.55.3
          transformers==4.55.4
          transformers==4.56.0
          transformers==4.56.1
          transformers==4.56.2
          transformers==4.57.0
          transformers==4.57.1
          transformers==4.57.2
          transformers==4.57.3
          transformers==4.57.4
          transformers==4.57.5
          transformers==4.57.6
          transformers>=4.58.0
      , mcp-optimizer:examples are incompatible.
      And because only the following versions of transformers are available:
          transformers<=4.36.0
          transformers==4.36.1
          transformers==4.36.2
          transformers==4.37.0
          transformers==4.37.1
          transformers==4.37.2
          transformers==4.38.0
          transformers==4.38.1
          transformers==4.38.2
          transformers==4.39.0
          transformers==4.39.1
          transformers==4.39.2
          transformers==4.39.3
          transformers==4.40.0
          transformers==4.40.1
          transformers==4.40.2
          transformers==4.41.0
          transformers==4.41.1
          transformers==4.41.2
          transformers==4.42.0
          transformers==4.42.1
          transformers==4.42.2
          transformers==4.42.3
          transformers==4.42.4
          transformers==4.43.0
          transformers==4.43.1
          transformers==4.43.2
          transformers==4.43.3
          transformers==4.43.4
          transformers==4.44.0
          transformers==4.44.1
          transformers==4.44.2
          transformers==4.45.0
          transformers==4.45.1
          transformers==4.45.2
          transformers==4.46.0
          transformers==4.46.1
          transformers==4.46.2
          transformers==4.46.3
          transformers==4.47.0
          transformers==4.47.1
          transformers==4.48.0
          transformers==4.48.1
          transformers==4.48.2
          transformers==4.48.3
          transformers==4.49.0
          transformers==4.50.0
          transformers==4.50.1
          transformers==4.50.2
          transformers==4.50.3
          transformers==4.51.0
          transformers==4.51.1
          transformers==4.51.2
          transformers==4.51.3
          transformers==4.52.0
          transformers==4.52.1
          transformers==4.52.2
          transformers==4.52.3
          transformers==4.52.4
          transformers==4.53.0
          transformers==4.53.1
          transformers==4.53.2
          transformers==4.53.3
          transformers==4.54.0
          transformers==4.54.1
          transformers==4.55.0
          transformers==4.55.1
          transformers==4.55.2
          transformers==4.55.3
          transformers==4.55.4
          transformers==4.56.0
          transformers==4.56.1
          transformers==4.56.2
          transformers==4.57.0
          transformers==4.57.1
          transformers==4.57.2
          transformers==4.57.3
          transformers==4.57.4
          transformers==4.57.5
          transformers==4.57.6
          transformers>4.58.0
      and optimum-onnx<=0.0.3 depends on optimum>=2.0.0,<2.1.dev0, we can
      conclude that all of:
          optimum<2.0.0
          optimum>=2.1.dev0
      , optimum[onnxruntime]==2.1.0, mcp-optimizer:examples are incompatible.
      And because only optimum[onnxruntime]<=2.1.0 is available and
      mcp-optimizer:offline-models depends on optimum[onnxruntime]>=2.1.0,
      we can conclude that mcp-optimizer:offline-models and
      mcp-optimizer:examples are incompatible.
      And because your project requires mcp-optimizer:examples and
      mcp-optimizer:offline-models, we can conclude that your project's
      requirements are unsatisfiable.

      hint: While the active Python version is 3.13, the resolution failed for
      other Python versions supported by your project. Consider limiting your
      project's supported Python versions using `requires-python`.

@renovate renovate bot force-pushed the renovate/pydantic-ai-1.x branch from f2a6c16 to cc24fdc Compare April 18, 2026 01:34
@renovate renovate bot changed the title chore(deps): update dependency pydantic-ai to >=1.84.0 chore(deps): update dependency pydantic-ai to >=1.84.1 Apr 18, 2026
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renovate bot commented Apr 20, 2026

Renovate Ignore Notification

Because you closed this PR without merging, Renovate will ignore this update (>=1.84.1). You will get a PR once a newer version is released. To ignore this dependency forever, add it to the ignoreDeps array of your Renovate config.

If you accidentally closed this PR, or if you changed your mind: rename this PR to get a fresh replacement PR.

@renovate renovate bot deleted the renovate/pydantic-ai-1.x branch April 20, 2026 06:38
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