Update pydantic-ai requirement from ==0.2.* to ==1.3.*

[dependabot]

Updates the requirements on pydantic-ai to permit the latest version.

Release notes

Sourced from pydantic-ai's releases.

v1.3.0 (2025-10-22)

What's Changed

• Raise IncompleteToolCall when token limit is reached during generation of tool call by @​erhuve in pydantic/pydantic-ai#3137
• Include evals report averages in span attributes by @​cetra3 in pydantic/pydantic-ai#3053
• Make AbstractBuiltinTool serializable and work with durable execution by @​DouweM in pydantic/pydantic-ai#3176
• Ignore empty text deltas when streaming gpt-oss on Bedrock by @​DouweM in pydantic/pydantic-ai#3215
• Ignore empty text deltas when streaming gpt-oss via Ollama by @​DouweM in pydantic/pydantic-ai#3216
• docs: Replace deprecated Cohere model 'command' with 'command-r7b-12-… by @​sijanonly in pydantic/pydantic-ai#3201
• Include all usage fields in OTel attributes by @​DouweM in pydantic/pydantic-ai#3221
• Correct Prefect .serve example by @​desertaxle in pydantic/pydantic-ai#3192
• Ensure toolset spans (e.g. MCP sampling) are nested under agent run span by @​DouweM in pydantic/pydantic-ai#3224
• Update genai-prices, fix default api_flavor, fixes anthropic usage extraction by @​alexmojaki in pydantic/pydantic-ai#3226
• feat(gateway): support AWS Bedrock by @​Kludex in pydantic/pydantic-ai#3203
• Add OVHcloud AI Endpoints provider by @​eliasto in pydantic/pydantic-ai#3188
• Use gateway/<upstream_provider>: as provider name prefix for Gateway by @​DouweM in pydantic/pydantic-ai#3229
• Add http_client option to GoogleProvider, support api_key for Vertex AI, and use Pydantic AI's cached httpx client by default by @​DouweM in pydantic/pydantic-ai#3217

New Contributors

• @​erhuve made their first contribution in pydantic/pydantic-ai#3137
• @​cetra3 made their first contribution in pydantic/pydantic-ai#3053
• @​sijanonly made their first contribution in pydantic/pydantic-ai#3201
• @​eliasto made their first contribution in pydantic/pydantic-ai#3188

Full Changelog: pydantic/pydantic-ai@v1.2.0...v1.3.0

Changelog

Sourced from pydantic-ai'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 (if we do, you can shout at us as it's definitely a mistake). Once we release V2, in April 2026 at the earliest, we'll continue to provide security fixes for V1 for another 6 months minimum, so you have time to upgrade your applications.

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.

... (truncated)

Commits

• f5a5b73 Add http_client option to GoogleProvider, support api_key for Vertex AI...
• f5cc9e3 Use gateway/\<upstream_provider>: as provider name prefix for Gateway (#3229)
• 59a7c70 Add OVHcloud AI Endpoints provider (#3188)
• c317d5e Revert "Only list MCP tools once, not at every agent run step" (#3228)
• 2f195dc Only list MCP tools once, not at every agent run step (#3227)
• 3a86855 feat(gateway): support AWS Bedrock (#3203)
• b06bd6c Update genai-prices, fix default api_flavor, fixes anthropic usage extracti...
• e7171f3 Ensure toolset spans (e.g. MCP sampling) are nested under agent run span (#3224)
• a972cf6 Correct Prefect .serve example (#3192)
• d8265a0 Include all usage fields in OTel attributes (#3221)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #544.