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Upgrade Guide

Pydantic AI 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 Pydantic AI.

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.

See #2441 - The result_type, result_tool_name and result_tool_description arguments were removed from the Agent class. Use output_type instead.

See #2441 - The result_retries argument was also removed from the Agent class. Use output_retries instead.

See #2443 - The data property was removed from the FinalResult class. Use output instead.

See #2445 - The get_data and validate_structured_result methods were removed from the StreamedRunResult class. Use get_output and validate_structured_output instead.

See #2446 - The format_as_xml function was moved to the pydantic_ai.format_as_xml module. Import it via from pydantic_ai import format_as_xml instead.

See #2451 - Removed deprecated Agent.result_validator method, Agent.last_run_messages property, AgentRunResult.data property, and result_tool_return_content parameters from result classes.

v0.5.0 (2025-08-04)

See #2388 - The source field of an EvaluationResult is now of type EvaluatorSpec rather than the actual source Evaluator instance, to help with serialization/deserialization.

See #2163 - The EvaluationReport.print and EvaluationReport.console_table methods now require most arguments be passed by keyword.

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 Pydantic AI 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.

Full Changelog

For the full changelog, see GitHub Releases.