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chore(deps): update pydantic-ai-slim[logfire] requirement from >=1.106.0 to >=1.107.0#194

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chore(deps): update pydantic-ai-slim[logfire] requirement from >=1.106.0 to >=1.107.0#194
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Updates the requirements on pydantic-ai-slim[logfire] to permit the latest version.

Release notes

Sourced from pydantic-ai-slim[logfire]'s releases.

v1.107.0 (2026-06-10)

What's Changed

🛡️ Security

  • Handle UploadedFile consistently with FileUrl in UI adapters by @​dsfaccini in pydantic/pydantic-ai#5772
    • Security advisory: VercelAIAdapter trusts client-controlled provider metadata to construct UploadedFile references (confused-deputy file read) GHSA-h7p7-w5gc-xj3w
    • This fix went out in v1.106.0 and v2.0.0b6.
    • You are affected only if your application passes untrusted client-submitted message history to an agent through a UI adapter (e.g. VercelAIAdapter), AND your model-provider or cloud-storage account holds files referenceable by an attacker-guessable UploadedFile id or storage URI (e.g. s3://…, gs://…).
    • You are not affected if you do not pass untrusted client-submitted message history to the agent, or you strip UploadedFile parts before running it.
    • You are not affected via AGUIAdapter / Agent.to_ag_ui on defaults — the preserve_file_data flag that re-enables this path is off by default.

🚀 Features

🐛 Bug Fixes

📦 Dependencies

New Contributors

Full Changelog: pydantic/pydantic-ai@v1.106.0...v1.107.0

Changelog

Sourced from pydantic-ai-slim[logfire]'s changelog.

Upgrade Guide

In September 2025, Pydantic AI reached V1, which means we're committed to API stability: we will not introduce changes that break your code until V2. For more information, review our Version Policy.

Breaking Changes

Here's a filtered list of the breaking changes for each version to help you upgrade Pydantic AI.

v1.0.1 (2025-09-05)

The following breaking change was accidentally left out of v1.0.0:

  • See #2808 - Remove Python evaluator from pydantic_evals for security reasons

v1.0.0 (2025-09-04)

  • See #2725 - Drop support for Python 3.9
  • See #2738 - Make many dataclasses require keyword arguments
  • See #2715 - Remove cases and averages attributes from pydantic_evals spans
  • See #2798 - Change ModelRequest.parts and ModelResponse.parts types from list to Sequence
  • See #2726 - Default InstrumentationSettings version to 2
  • See #2717 - Remove errors when passing AsyncRetrying or Retrying object to AsyncTenacityTransport or TenacityTransport instead of RetryConfig

v0.x.x

Before V1, minor versions were used to introduce breaking changes:

v0.8.0 (2025-08-26)

See #2689 - AgentStreamEvent was expanded to be a union of ModelResponseStreamEvent and HandleResponseEvent, simplifying the event_stream_handler function signature. Existing code accepting AgentStreamEvent | HandleResponseEvent will continue to work.

v0.7.6 (2025-08-26)

The following breaking change was inadvertently released in a patch version rather than a minor version:

See #2670 - TenacityTransport and AsyncTenacityTransport now require the use of pydantic_ai.retries.RetryConfig (which is just a TypedDict containing the kwargs to tenacity.retry) instead of tenacity.Retrying or tenacity.AsyncRetrying.

v0.7.0 (2025-08-12)

See #2458 - pydantic_ai.models.StreamedResponse now yields a FinalResultEvent along with the existing PartStartEvent and PartDeltaEvent. If you're using pydantic_ai.direct.model_request_stream or pydantic_ai.direct.model_request_stream_sync, you may need to update your code to account for this.

See #2458 - pydantic_ai.models.Model.request_stream now receives a run_context argument. If you've implemented a custom Model subclass, you will need to account for this.

See #2458 - pydantic_ai.models.StreamedResponse now requires a model_request_parameters field and constructor argument. If you've implemented a custom Model subclass and implemented request_stream, you will need to account for this.

v0.6.0 (2025-08-06)

This release was meant to clean some old deprecated code, so we can get a step closer to V1.

See #2440 - The next method was removed from the Graph class. Use async with graph.iter(...) as run: run.next() instead.

... (truncated)

Commits
  • b1d7af9 Add Claude Fable 5 (claude-fable-5) and Claude Mythos 5 (claude-mythos-5)...
  • c5b2666 Fix flaky test_tool_cancelled_when_agent_cancelled under CI load (#5852)
  • b6798f7 feat(openrouter): add CachePoint and prompt caching support (#4604)
  • 619639a chore(deps): bump the python-packages group across 1 directory with 18 update...
  • 64b9204 Fix AnthropicModel.count_tokens with native tools (#5704)
  • 26808a1 fix(anthropic): guard message=None Bedrock start events in stream path (#5818)
  • 950aed9 Add known_model_names() to enumerate KnownModelName members (#5803)
  • 837b03e Document testing philosophy and Case parametrization pattern in `tests/AGEN...
  • See full diff in compare view

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jun 11, 2026
Updates the requirements on [pydantic-ai-slim[logfire]](https://github.com/pydantic/pydantic-ai) to permit the latest version.
- [Release notes](https://github.com/pydantic/pydantic-ai/releases)
- [Changelog](https://github.com/pydantic/pydantic-ai/blob/main/docs/changelog.md)
- [Commits](pydantic/pydantic-ai@v1.106.0...v1.107.0)

---
updated-dependencies:
- dependency-name: pydantic-ai-slim[logfire]
  dependency-version: 1.107.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@amrit110 amrit110 force-pushed the dependabot/uv/pydantic-ai-slim-logfire--gte-1.107.0 branch from c67b655 to ffa5002 Compare June 12, 2026 01:13
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