Update pydantic-ai requirement from ==0.2.* to ==0.4.*

[dependabot]

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

Release notes

Sourced from pydantic-ai's releases.

v0.4.2 (2025-07-10)

What's Changed

• Let model settings be passed to model classes by @​svilupp in pydantic/pydantic-ai#2136
• Add StructuredDict for structured outputs with custom JSON schema by @​fswair in pydantic/pydantic-ai#2157
• Handle DeepSeek reasoning_content in streamed responses by @​tarruda in pydantic/pydantic-ai#2174
• Drop FastA2A from PydanticAI repository by @​Kludex in pydantic/pydantic-ai#2171
• Fix type annotations for Agent.iter() by @​erosennin in pydantic/pydantic-ai#2168
• Fix chat-app example doc - python code appear twice by @​itayB in pydantic/pydantic-ai#2169
• Speed up function _ensure_decodeable by 634% by @​misrasaurabh1 in pydantic/pydantic-ai#2155

New Contributors

• @​misrasaurabh1 made their first contribution in pydantic/pydantic-ai#2155
• @​erosennin made their first contribution in pydantic/pydantic-ai#2168
• @​itayB made their first contribution in pydantic/pydantic-ai#2169
• @​tarruda made their first contribution in pydantic/pydantic-ai#2174

Full Changelog: pydantic/pydantic-ai@v0.4.1...v0.4.2

Changelog

Sourced from pydantic-ai's changelog.

Upgrade Guide

PydanticAI is still pre-version 1, so breaking changes will occur, however:

• We try to minimize them as much as possible.
• We use minor version bumps to signify breaking changes.
• Wherever possible we deprecate old features so code continues to work with deprecation warnings when changing the public API.
• We intend to release V1 in summer 2025, and then follow strict semantic versioning, e.g. no intentional breaking changes except in minor or patch versions.

Breaking Changes

!!! note Here's a filtered list of the breaking changes for each version to help you upgrade PydanticAI.

v0.4.0 (2025-07-08)

See #1799 - Pydantic Evals EvaluationReport and ReportCase are now generic dataclasses instead of Pydantic models. If you were serializing them using model_dump(), you will now need to use the EvaluationReportAdapter and ReportCaseAdapter type adapters instead.

See #1507 - The ToolDefinition description argument is now optional and the order of positional arguments has changed from name, description, parameters_json_schema, ... to name, parameters_json_schema, description, ... to account for this.

v0.3.0 (2025-06-18)

See #1142 — Adds support for thinking parts.

We now convert the thinking blocks ("<think>..."</think>") in provider specific text parts to PydanticAI ThinkingParts. Also, as part of this release, we made the choice to not send back the ThinkingParts to the provider - the idea is to save costs on behalf of the user. In the future, we intend to add a setting to customize this behavior.

v0.2.0 (2025-05-12)

See #1647 — usage makes sense as part of ModelResponse, and could be really useful in "messages" (really a sequence of requests and response). In this PR:

• Adds usage to ModelResponse (field has a default factory of Usage() so it'll work to load data that doesn't have usage)
• changes the return type of Model.request to just ModelResponse instead of tuple[ModelResponse, Usage]

v0.1.0 (2025-04-15)

See #1248 — the attribute/parameter name result was renamed to output in many places. Hopefully all changes keep a deprecated attribute or parameter with the old name, so you should get many deprecation warnings.

See #1484 — format_as_xml was moved and made available to import from the package root, e.g. from pydantic_ai import format_as_xml.

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Full Changelog

... (truncated)

Commits

• 78f08f8 Handle DeepSeek reasoning_content in streamed responses (#2174)
• 6d0e850 fasta2a as known-third-party (#2176)
• b14ce91 Fix chat-app example doc - python code appear twice (#2169)
• ecbd08b Fix type annotations for Agent.iter() (#2168)
• d5ff4a1 Add StructuredDict for structured outputs with custom JSON schema (#2157)
• 3ef42ed Drop FastA2A from PydanticAI repository (#2171)
• c28a253 Let model settings be passed to model classes (#2136)
• 83082cd ⚡️ Speed up function _ensure_decodeable by 634% (#2155)
• 4ada2ce Drop FastA2A as PydanticAI dependency (#2164)
• 72bce93 Upgrade a2a to spec v0.2.5 (#2144)
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[dependabot]

Superseded by #435.