Update pydantic-ai-slim[logfire] requirement from >=1.90.0 to >=1.97.0

[dependabot]

Updates the requirements on pydantic-ai-slim[logfire] to permit the latest version.

Release notes

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

v1.97.0 (2026-05-15)

What's Changed

🚀 Features

• feat(evals): add OnlineEvaluator.run_on_errors to opt into evaluating failed calls by @​dmontagu in pydantic/pydantic-ai#5456
• Split GoogleProvider(vertexai=True|False) into GoogleProvider + GoogleCloudProvider; rename provider ID google-gla: to google:, google-vertex: to google-cloud:; deprecate old names by @​dsfaccini in pydantic/pydantic-ai#5336
• Add MCPToolset that uses fastmcp-slim[client], deprecate MCPServer* and FastMCPToolset by @​DouweM in pydantic/pydantic-ai#5325
• Set ModelResponse.state to incomplete while response is still streaming by @​adtyavrdhn in pydantic/pydantic-ai#5455
• Move pydantic_graph.beta API out of beta, deprecate old API by @​dmontagu in pydantic/pydantic-ai#5306

🆕 V2 Preparation

• Deprecate stream_responses() for stream_response(); new singular yields ModelResponse instead of (ModelResponse, is_last) tuple by @​dsfaccini in pydantic/pydantic-ai#5296
• Deprecate Agent.to_a2a() and bundled fasta2a integration; fasta2a has been adopted by DataLayer and users can use fasta2a.pydantic_ai (requires fasta2a v0.6.1) instead by @​dsfaccini in pydantic/pydantic-ai#5426

New Contributors

• @​Quratulain-bilal made their first contribution in pydantic/pydantic-ai#5439

Full Changelog: pydantic/pydantic-ai@v1.96.1...v1.97.0

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

• 206453a Deprecate Agent.to_a2a() and fasta2a optional dependency group; point use...
• e60a9aa v2 prep: rewrite docs/graph.md to use the builder API (#5465)
• 33ef15d Deprecate stream_responses() for stream_response(); new singular yields `...
• c68c12f Move pydantic_graph.beta API out of beta, deprecate old API (#5306)
• e6bc869 Add MCPToolset that uses fastmcp-slim[client], deprecate MCPServer* and...
• 890c07c Set ModelResponse.state to incomplete while response is still streaming (...
• 710fd02 docs: use 'Pydantic AI' (two words) in multi-agent docs (#5439)
• cb753a4 Split GoogleProvider(vertexai=True|False) into GoogleProvider + `GoogleCl...
• fbf01fa feat(evals): add OnlineEvaluator.run_on_errors to opt into evaluating faile...
• c5a0bba docs: drop nonexistent logfire.current_span() from Instrumentation docstr...
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