chore(deps): update dependency pydantic-ai to >=1.62.0 by renovate[bot] · Pull Request #336 · StacklokLabs/mcp-optimizer

renovate · 2026-02-11T02:36:04Z

This PR contains the following updates:

Package	Change	Age	Confidence
pydantic-ai (changelog)	`>=1.57.0` → `>=1.62.0`

Warning

Some dependencies could not be looked up. Check the Dependency Dashboard for more information.

Release Notes

pydantic/pydantic-ai (pydantic-ai)

`v1.62.0`: (2026-02-18)

Compare Source

What's Changed

🚀 Features

Add tool approval integration for Vercel AI adapter by @bendrucker in #3772
Add LinePlot analysis type, ROCAUCEvaluator, and KolmogorovSmirnovEvaluator by @dmontagu in #4356

🐛 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

bump huggingface to 1.3.4 by @dsfaccini in #4119
Use griffelib instead of griffe by @dsfaccini in #4313

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

`v1.61.0`: (2026-02-17)

Compare Source

What's Changed

🚀 Features

Support Python 3.14 by @Kludex in #4138

📦 Dependencies

Upgrade anthropic to 0.80.0, add Claude Sonnet 4.6 by @DouweM in #4345

Full Changelog: pydantic/pydantic-ai@v1.60.0...v1.61.0

`v1.60.0`: (2026-02-16)

Compare Source

What's Changed

🚀 Features

Add ‍video_url support to OpenRouterModel by @Adversarian in #3824
Add instrumentation version 4 to match OTel GenAI semantic conventions for multimodal input by @admackin in #4219

🐛 Bug Fixes

Fix AG-UI parent_message_id for back-to-back builtin tool calls by @DouweM in #4332
Only suggest 'call a tool' in retry when tools are available by @Baniskos in #4234
Wrap _stream_text_deltas with aclosing to prevent StopAsyncIteration on client disconnect by @sheginabo in #4205

New Contributors

@SamKomesarook made their first contribution in #4327
@Baniskos made their first contribution in #4234
@Adversarian made their first contribution in #3824
@sheginabo made their first contribution in #4205
@admackin made their first contribution in #4219

Full Changelog: pydantic/pydantic-ai@v1.59.0...v1.60.0

`v1.59.0`: (2026-02-13)

Compare Source

What's Changed

🚀 Features

Add Model.model_id property that returns provider:model by @tdevelope in #3917
Add opt-in flag for aggregated usage attribute names by @thiagohora in #4277
Enhance Contains evaluator to support pydantic.BaseModel by @tomsquest in #4003
Vercel AI adapter: let BaseChunks be injected through ToolReturnPart.metadata by @0xyjk in #4230

🐛 Bug Fixes

XAI: lazily create AsyncClient per event loop to avoid gRPC loop mismatch by @DouweM in #4316

New Contributors

@tdevelope made their first contribution in #3917
@thiagohora made their first contribution in #4277
@0xyjk made their first contribution in #4230

Full Changelog: pydantic/pydantic-ai@v1.58.0...v1.59.0

`v1.58.0`: (2026-02-10)

Compare Source

What's Changed

🚀 Features

Report-level evaluators & experiment-wide analyses by @dmontagu in #4243
Add multi-run aggregation support (repeat parameter) to pydantic-evals by @dmontagu in #4253
Add extra_headers support for Google model provider by @saakshigupta2002 in #4241

New Contributors

@saakshigupta2002 made their first contribution in #4241

Full Changelog: pydantic/pydantic-ai@v1.57.0...v1.58.0

Configuration

📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).

🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.

♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

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This PR was generated by Mend Renovate. View the repository job log.

claude · 2026-02-11T02:37:41Z

PR Review: Dependency Update pydantic-ai 1.57.0 to 1.58.0

LGTM - Straightforward dependency update from Renovate bot.

Changes:

Updates pydantic-ai from >=1.57.0 to >=1.58.0 in pyproject.toml
Lock file updated accordingly

Impact: Low risk

Only affects examples optional dependency group (not core)
Single usage in examples/anthropic_comparison/mcp_optimizer_agent.py
New features: evaluators, aggregation support, extra headers for Google provider

Code Quality: No issues - clean version bump, no breaking changes

Testing: Verify example script runs correctly with updated dependency

Security: No concerns

Performance: Neutral

Recommendation: Approve and merge once CI passes

renovate · 2026-02-19T06:35:30Z

⚠️ 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-3.13.12-linux-x86_64-gnu (download) (33.5MiB)
 Downloaded cpython-3.13.12-linux-x86_64-gnu (download)
Using CPython 3.13.12
  × 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]==1.62.0 depends
      on huggingface-hub>=1.3.4 and pydantic-ai==1.62.0 depends on
      pydantic-ai-slim[huggingface]==1.62.0, we can conclude that
      pydantic-ai==1.62.0 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<=1.62.0 is available and
      mcp-optimizer:examples depends on pydantic-ai>=1.62.0, 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 bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.58.0~~ chore(deps): update dependency pydantic-ai to >=1.59.0 Feb 14, 2026

renovate bot force-pushed the renovate/pydantic-ai-1.x branch 2 times, most recently from f3b51a6 to e579360 Compare February 17, 2026 06:11

renovate bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.59.0~~ chore(deps): update dependency pydantic-ai to >=1.60.0 Feb 17, 2026

renovate bot force-pushed the renovate/pydantic-ai-1.x branch from e579360 to 79807dc Compare February 18, 2026 03:30

renovate bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.60.0~~ chore(deps): update dependency pydantic-ai to >=1.61.0 Feb 18, 2026

chore(deps): update dependency pydantic-ai to >=1.62.0

1cb1099

renovate bot force-pushed the renovate/pydantic-ai-1.x branch from 79807dc to 1cb1099 Compare February 19, 2026 06:35

renovate bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.61.0~~ chore(deps): update dependency pydantic-ai to >=1.62.0 Feb 19, 2026

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chore(deps): update dependency pydantic-ai to >=1.62.0#336

chore(deps): update dependency pydantic-ai to >=1.62.0#336
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Release Notes

v1.62.0: (2026-02-18)

What's Changed

🚀 Features

🐛 Bug Fixes

📦 Dependencies

v1.61.0: (2026-02-17)

What's Changed

🚀 Features

📦 Dependencies

v1.60.0: (2026-02-16)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.59.0: (2026-02-13)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.58.0: (2026-02-10)

What's Changed

🚀 Features

New Contributors

Configuration

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claude bot commented Feb 11, 2026

PR Review: Dependency Update pydantic-ai 1.57.0 to 1.58.0

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⚠️ Artifact update problem

File name: uv.lock

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renovate bot commented Feb 11, 2026 •

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`v1.62.0`: (2026-02-18)

`v1.61.0`: (2026-02-17)

`v1.60.0`: (2026-02-16)

`v1.59.0`: (2026-02-13)

`v1.58.0`: (2026-02-10)