chore(deps): update dependency pydantic-ai to >=1.93.0 by renovate[bot] · Pull Request #534 · StacklokLabs/mcp-optimizer

renovate · 2026-05-06T15:49:27Z

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Age	Confidence
pydantic-ai (changelog)	`>=1.57.0` → `>=1.93.0`

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Release Notes

pydantic/pydantic-ai (pydantic-ai)

`v1.93.0`: (2026-05-08)

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What's Changed

🚀 Features

Add tool_choice setting by @dsfaccini in #3611
Yield OutputToolCallEvent/OutputToolResultEvent for output tool calls; deprecate function-tool events for failing output tool calls by @DouweM in #5320

🐛 Bug Fixes

Drain spawned tasks during agent cancellation by @adtyavrdhn in #5341

New Contributors

@DhruvGarg111 made their first contribution in #4958

Full Changelog: pydantic/pydantic-ai@v1.92.0...v1.93.0

`v1.92.0`: (2026-05-07)

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What's Changed

🚀 Features

Add Anthropic task budget support by @dsfaccini in #5140
Add runtime output_retries override + deprecate retries + internal retry-field rename by @dsfaccini in #5075

🐛 Bug Fixes

Fix: Clean up streaming responses on cancellation by @adtyavrdhn in #5313
Fix attempted exit cancel scope in different task by running MCP session in a dedicated task by @dsfaccini in #4514
Populate for_run RunContext with run_id, conversation_id, and metadata by @DouweM in #5330
fix(evals): guarantee CaseLifecycle.teardown() by @voorhs in #5322

New Contributors

@voorhs made their first contribution in #5322

Full Changelog: pydantic/pydantic-ai@v1.91.0...v1.92.0

`v1.91.0`: (2026-05-06)

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What's Changed

🚀 Features

feat(openai): support gpt-image-2 options by @banteg in #5234
feat(deepseek): add support for deepseek-v4-flash anddeepseek-v4-pro by @SuperMarioYL in #5195

🐛 Bug Fixes

fix(evals): preserve Unicode in YAML datasets by @Kcstring in #5245
Skip empty ModelResponse in OpenAI Chat assistant message mapping by @DouweM in #5300
Fix MCP history replay for empty tool arguments by @adtyavrdhn in #5314

New Contributors

@Kcstring made their first contribution in #5245
@khaldon made their first contribution in #5301
@SuperMarioYL made their first contribution in #5195
@banteg made their first contribution in #5234

Full Changelog: pydantic/pydantic-ai@v1.90.0...v1.91.0

`v1.90.0`: (2026-05-04)

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What's Changed

🚀 Features

feat: add OpenAI Conversations API state support via OpenAIResponsesModelSettings.openai_conversation_id by @corytomlinson in #5224
feat: typed OTel metadata for code tool call syntax highlighting by @DouweM in #5297

📦 Dependencies

Upgrade web UI to pydantic/ai-chat-ui 1.2.0 by @johnthagen in #5246

New Contributors

@johnthagen made their first contribution in #5246
@Acacian made their first contribution in #4888
@VeniVeci made their first contribution in #5283

Full Changelog: pydantic/pydantic-ai@v1.89.1...v1.90.0

`v1.89.1`: (2026-05-01)

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What's Changed

🤖 Coding Agent Experience

Add bundled Library Skills(https://library-skills.io) for improved coding-agent support by @adtyavrdhn in #5271

🐛 Bug Fixes

fix: restore wrap_validation_errors on ToolManager function-tool methods by @DouweM in #5275
Defer anyio.Lock creation via cached_property to bind to running loop by @Kludex in #5265

New Contributors

@dependabot[bot] made their first contribution in #5268

Full Changelog: pydantic/pydantic-ai@v1.89.0...v1.89.1

`v1.89.0`: (2026-04-30)

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What's Changed

🚀 Features

feat: add conversation_id for cross-run correlation by @DouweM in #5251
feat(capabilities): support dynamic capabilities via callables in capabilities list by @DouweM in #5252
feat: add builtin_tools to agent.override by @mplemay in #5248

🐛 Bug Fixes

fix(evals): use non-daemon thread for background evaluators by @alexmojaki in #5247

Full Changelog: pydantic/pydantic-ai@v1.88.0...v1.89.0

`v1.88.0`: (2026-04-28)

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What's Changed

🚀 Features

feat(capabilities)!: output validate/process hooks; scope prepare_tools to function tools, add prepare_output_tools by @DouweM in #4859
feat: cross-provider service_tier model setting; Anthropic + Gemini API + Vertex Priority PayGo support by @markmcd in #4926
Add anthropic speed, fast mode for opus 4.6 by @bohdanhr in #4300
feat: support OpenAI Responses phase on assistant messages by @DouweM in #5229
feat(ui): add UIAdapter.sanitize_messages and allowed_file_url_schemes by @DouweM in #5228

🐛 Bug Fixes

fix: restore per-block cache_control for anthropic_cache_messages by @Wh1isper in #5227
fix: propagate original error when CallToolsNode stream fails by @thejens in #4799
fix: propagate Agent(retries=...) to user-provided toolsets by @dsfaccini in #4745

New Contributors

@markmcd made their first contribution in #4926

Full Changelog: pydantic/pydantic-ai@v1.87.0...v1.88.0

`v1.87.0`: (2026-04-24)

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What's Changed

🚀 Features

Add HandleDeferredToolCalls capability and handle_deferred_tool_calls hook by @DouweM in #5142
Add ProcessEventStream capability by @DouweM in #5141
Handle thinking setting for GPT-5.5 by @dsfaccini in #5196

Full Changelog: pydantic/pydantic-ai@v1.86.1...v1.87.0

`v1.86.1`: (2026-04-23)

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What's Changed

🐛 Bug Fixes

fix(openai): guard against choices=None in streamed chunks (#5165) by @adtyavrdhn in #5170
fix(anthropic): send container_id as string on reuse; unwrap broken {id: x} shape by @adtyavrdhn in #5168
fix: preserve validation error input on tool-call retries by @DouweM in #5181
fix(toolsets): prevent MCPServer.__aexit__ called more times than __aenter__ in DynamicToolset by @anishesg in #5171
Warn about dict fields with Anthropic strict mode by @rahulmansharamani14 in #4321
Set gen_ai.operation.name=execute_tool on tool-execution spans by @DouweM in #5182
fix: avoid stale client references in model and embedding classes by @Deeven-Seru in #4276

New Contributors

@anishesg made their first contribution in #5171
@rahulmansharamani14 made their first contribution in #4321
@Deeven-Seru made their first contribution in #4276

Full Changelog: pydantic/pydantic-ai@v1.86.0...v1.86.1

`v1.86.0`: (2026-04-22)

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What's Changed

🚀 Features

feat(ui): add UIAdapter.manage_system_prompt + ReinjectSystemPrompt capability by @dsfaccini in #4087

🐛 Bug Fixes

fix(vercel-ai): allow regenerate requests without messageId by @MukundaKatta in #5156
Handle dict reasoning_content from Gemini 2.5 models by @JulieLiu99 in #5155

New Contributors

@MukundaKatta made their first contribution in #5156
@JulieLiu99 made their first contribution in #5155

Full Changelog: pydantic/pydantic-ai@v1.85.1...v1.86.0

`v1.85.1`: (2026-04-21)

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What's Changed

🐛 Bug Fixes

fix: exclude validation error input from retry messages by @navalprakhar in #4947
fix(vercel-ai): auto-detect deferred tool approval state in dump_messages() by @tijmenhammer in #4831

New Contributors

@abhicris made their first contribution in #5149
@navalprakhar made their first contribution in #4947
@tijmenhammer made their first contribution in #4831

Full Changelog: pydantic/pydantic-ai@v1.85.0...v1.85.1

`v1.85.0`: (2026-04-21)

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What's Changed

🚀 Features

Online evaluation via OpenTelemetry events by @dmontagu in #5125

Full Changelog: pydantic/pydantic-ai@v1.84.1...v1.85.0

`v1.84.1`: (2026-04-17)

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What's Changed

🐛 Bug Fixes

Skip tool hooks for internal output tools by @DouweM in #5128
Always pass dict-shaped validated args to hooks for single-BaseModel tools by @DouweM in #5137

Full Changelog: pydantic/pydantic-ai@v1.84.0...v1.84.1

`v1.84.0`: (2026-04-16)

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What's Changed

🔒 Security

Fix exponential-time regex in Google FileSearchTool response parsing by @DouweM in #5106. This was first released in yesterday's v1.83.0. The pattern was reachable in principle from Gemini streaming responses but could not be triggered via real Gemini output in testing, so we're treating it as a hardening fix rather than a vulnerability.

🚀 Features

Add Claude Opus 4.7 support by @dsfaccini in #5118
Add stateful compaction mode to OpenAICompaction by @DouweM in #5108
Add OllamaModel subclass and correct Ollama capability flags to fix structured output on Ollama Cloud by @Goldokpa in #4160

🐛 Bug Fixes

Fix deferred tool search keyword matching by @pandego in #5014
Fixing parsing openai_logprobs for streamed responses by @iAmir97 in #5091
fix(openai): handle null text in Responses API output by @DouweM in #5124
Chain OpenAI Responses retries through concrete openai_previous_response_id seeds by @DouweM in #5126
fix: exclude resumed requests from new_messages() even with current run_id by @madanlalit in #4731

New Contributors

@iAmir97 made their first contribution in #5091

Full Changelog: pydantic/pydantic-ai@v1.83.0...v1.84.0

`v1.83.0`: (2026-04-15)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🚀 Features

feat: Add XSearchTool and FileSearch support for xAI by @colesmcintosh in #4165
Allow injecting metadata per tool call with FastMCPToolset by @Boryotto in #4929
feat(bedrock): add prompt cache TTL support by @imdigitalashish in #4581
Add Anthropic automatic prompt caching support by @DenysMoskalenko in #4840
Add 'graceful' end strategy for parallel tool calls by @awkoy in #4333
Support Agent(output_type=str | None) for optional output by @Pavanmanikanta98 in #4042

New Contributors

@colesmcintosh made their first contribution in #4165
@Boryotto made their first contribution in #4929
@imdigitalashish made their first contribution in #4581
@awkoy made their first contribution in #4333

Full Changelog: pydantic/pydantic-ai@v1.82.0...v1.83.0

`v1.82.0`: (2026-04-14)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🐛 Bug Fixes

Fix OpenAI compaction chain when openai_previous_response_id='auto' by @DouweM in #5086
Fix orphan-task leak in CombinedToolset and CombinedCapability by @DouweM in #5085
Lazily compute ToolDefinition.function_signature by @DouweM in #5087

📦 Dependencies

chore: bump fastmcp 2.x → 3.2.0 by @dsfaccini in #4982

New Contributors

@gvdongen made their first contribution in #5041

Full Changelog: pydantic/pydantic-ai@v1.81.0...v1.82.0

`v1.81.0`: (2026-04-13)

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🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🐛 Bug Fixes

Fix Anthropic compaction usage totals by @pandego in #5068
Exclude run_id from cache key computation in PrefectAgentInputs by @adtyavrdhn in #3890
fix: handle boolean JSON Schema nodes in JsonSchemaTransformer by @Dharit13 in #4989
fix: close pending tool calls on stream error by @proever in #4963
fix: skip api-version query parameter for Azure AI Foundry serverless endpoints by @Ricardo-M-L in #5071

New Contributors

@Dharit13 made their first contribution in #4989
@pandego made their first contribution in #5068

Full Changelog: pydantic/pydantic-ai@v1.80.0...v1.81.0

`v1.80.0`: (2026-04-10)

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What's Changed

🚀 Features

Add CapabilityOrdering (innermost, outermost, wraps, wrapped_by, requires`) by @DouweM in #5036
Hooks ordering parameter and instance refs in wraps/wrapped_by by @DouweM in #5048
Add server-side compaction support via OpenAICompaction and AnthropicCompaction capabilities by @DouweM in #4943

🐛 Bug Fixes

Reverse capability get_wrapper_toolset iteration for consistency with wrap_ hooks by @DouweM in #5036
Remove warning suppression fixed by the bump to mistral version >= 2.0.0 by @DarthJuri in #4629
fix: make mcp optional for DBOS module import by @DouweM in #5050
bug: Warn about Azure OpenAI completions file-incompatibility by @dsfaccini in #4048
fix: unknown tool calls no longer exhaust global retry counter by @dsfaccini in #4940
fix: output validators see global retry counter on tool output path by @dsfaccini in #4956

Full Changelog: pydantic/pydantic-ai@v1.79.0...v1.80.0

`v1.79.0`: (2026-04-09)

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What's Changed

🚀 Features

Full support for AG-UI 0.1.13 and 0.1.15: reasoning, multi-modal, dump_messages by @dsfaccini in #3971
Replace HTTP client cache with create_async_http_client and context manager by @dsfaccini in #4421
Add apply() to AbstractCapability, CombinedCapability, and WrapperCapability by @DouweM in #5022

🐛 Bug Fixes

fix: update internal $refs in renamed schema defs, handle missing keywords, and detect semantically different defs by @Ricardo-M-L in #5020
fix: force streaming in run() when capability/hook overrides wrap_run_event_stream by @DouweM in #5028
Fix on_node_run_error and after_node_run hook recovery by @DouweM in #5023
fix: add missing space in provider UserError messages by @graydeon in #4976

New Contributors

@15r10nk made their first contribution in #4108
@graydeon made their first contribution in #4976

Full Changelog: pydantic/pydantic-ai@v1.78.0...v1.79.0

`v1.78.0`: (2026-04-07)

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What's Changed

🚀 Features

Add cached token span attributes per OTel spec by @alexmojaki in #5013
feat: add return_schema and function_signature to ToolDefinition by @adtyavrdhn in #4964
feat: add SetToolMetadata capability by @DouweM in #4964

New Contributors

@Ricardo-M-L made their first contribution in #4968
@chernistry made their first contribution in #5005
@vladdoster made their first contribution in #4620
@edmcman made their first contribution in #4584
@drPod made their first contribution in #4809
@1Ninad made their first contribution in #4945

Full Changelog: pydantic/pydantic-ai@v1.77.0...v1.78.0

`v1.77.0`: (2026-04-02)

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What's Changed

🚀 Features

feat: add local WebFetch tool and have WebFetch capability use it when provider lacks builtin support by @DEENUU1 in #4906
Add defer_loading to tools and toolsets to enable tool search by @dsfaccini in #4090
Add ThreadExecutor capability and Agent.using_thread_executor() by @DouweM in #4942
feat: smart instruction caching — automatically insert Anthropic/Bedrock cache boundary at static/dynamic split by @Alex-Resch in #4865
Support server_message_id in VercelAIEventStream by @dsfaccini in #4579

🐛 Bug Fixes

fix: run output validators for image outputs by @dsfaccini in #4938
Wrap streaming SDK errors in ModelHTTPError/ModelAPIError by @dsfaccini in #4889

New Contributors

@Alex-Resch made their first contribution in #4865

Full Changelog: pydantic/pydantic-ai@v1.76.0...v1.77.0

`v1.76.0`: (2026-04-01)

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What's Changed

🚀 Features

Have ImageGeneration capability auto-fallback to subagent with imagegen model if main model lacks imagegen by @DouweM in #4910
Add agent to RunContext by @DouweM in #4922

🐛 Bug Fixes

Include gen_ai.operation.name span attribute in agent runs by @adriangb in #4936

📦 Dependencies

Update Mistral integration to mistralai SDK v2 by @doramirdor in #4736

New Contributors

@doramirdor made their first contribution in #4736

Full Changelog: pydantic/pydantic-ai@v1.75.0...v1.76.0

`v1.75.0`: (2026-03-31)

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What's Changed

🚀 Features

Feat(embeddings): types and limits for gemini-embedding-2-preview by @yorickvP in #4874
Implement support for Flex PayGo with VertexAI by @ewjoachim in #4312

🐛 Bug Fixes

Stop stripping TTL from cache control for Bedrock clients by @fuyi in #4915
fix: handle DataUIPart in Vercel AI adapter user message processing (#4704) by @sudo-nick in #4712
fix: count only leading system messages when inserting instructions by @sztoplover-bit in #4833
fix: consistent error handling between run_sync and run_stream for invalid output tool calls by @Spectual in #4860
fix(openrouter): handle null top-level fields when response is nested in provider field by @adityasingh2400 in #4528

New Contributors

@fuyi made their first contribution in #4915
@sudo-nick made their first contribution in #4712
@yorickvP made their first contribution in #4874
@ewjoachim made their first contribution in #4312
@sztoplover-bit made their first contribution in #4833
@Spectual made their first contribution in #4860

Full Changelog: pydantic/pydantic-ai@v1.74.0...v1.75.0

`v1.74.0`: (2026-03-30)

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What's Changed

🚀 Features

feat: online evaluation infrastructure for pydantic-evals by @dmontagu in #4782
feat: Add TextContent for user prompts with metadata not sent to model by @thisisarko in #4432
Make run ID time-sortable; add agent name and run ID span attrs to all agent run child spans by @adriangb in #4876
Add AbstractToolset.get_instructions method and include_instructions arg to MCP Servers by @DougTrajano in #4123
deprecate: Dataset without name parameter by @Kludex in #4862

🐛 Bug Fixes

Fix(tracing): prevent CallDeferred/ApprovalRequired from marking tool spans as errors by @jaiwinshah3 in #4661
fix: service_tier validation failure for OpenAI-compatible providers by @majdalsado in #4911
Fix batch embeddings generation with gemini-embedding-2-preview by @DouweM in #4913
fix(output): respect ToolOutput.max_retries parameter by @JasonCZMeng in #4687

New Contributors

@jaiwinshah3 made their first contribution in #4661
@thisisarko made their first contribution in #4432
@adriangb made their first contribution in #4876
@JasonCZMeng made their first contribution in #4687

Full Changelog: pydantic/pydantic-ai@v1.73.0...v1.74.0

`v1.73.0`: (2026-03-26)

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What's Changed

🚀 Features

feat: add CaseLifecycle hooks to Dataset.evaluate by @dmontagu in #4854
Allow hooks to raise ModelRetry for retry control flow by @DouweM in #4858
Allow before/wrap model request hooks to swap the model via ModelRequestContext by @DouweM in #4855

🐛 Bug Fixes

fix: xAI provider_fallback changed to x-ai matching genai-prices by @adtyavrdhn in #4789
Fix capability schema generation to include full parameter types by @DouweM in #4867

📦 Dependencies

Bump temporal >=1.24.0 by @adtyavrdhn in #4863

Full Changelog: pydantic/pydantic-ai@v1.72.0...v1.73.0

`v1.72.0`: (2026-03-25)

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What's Changed

🚀 Features

feat: add anthropic_eager_input_streaming to AnthropicModelSettings by @moe9195 in #4842
Support sync tool preparation functions by @DouweM in #4846
Don't require explicit url= on MCP capability, in Python or AgentSpec by @DouweM in #4846

🐛 Bug Fixes

Fix Thinking capability type inference by @DouweM in #4846
fix: add missing OpenRouterReasoning effort values by @majdalsado in #4709
fix: preserve ToolReturn metadata through Temporal serialization by @alvinttang in #4684
fix: Insert empty user message for Bedrock when only instructions are present by @adtyavrdhn in #4498

New Contributors

@ddanielcruzz made their first contribution in #4837
@alvinttang made their first contribution in #4684
@moe9195 made their first contribution in #4842

Full Changelog: pydantic/pydantic-ai@v1.71.0...v1.72.0

`v1.71.0`: (2026-03-24)

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What's Changed

🚀 Features

Add Capabilities: composable, reusable units of agent behavior that bundle tools, lifecycle hooks, instructions, and model settings into a single class you plug into any agent by @DouweM in #4640
Add AgentSpec and Agent.from_file for loading agents from YAML/JSON, with support for templated instructions referencing deps (via TemplateStr) by @DouweM in #4640
Add Hooks capability for defining hooks using decorators by @DouweM in #4640
Add Thinking capability and cross-provider thinking model setting by @DouweM in #4640
Add provider-adaptive tools capabilities WebSearch, WebFetch, MCP, ImageGeneration that automatically fall back from builtin (provider) tools to local tools by @DouweM in #4640
Add AbstractToolset.for_run and for_run_step for state isolation by @DouweM in #4640
Add openai:gpt-5.4-mini and openai:gpt-5.4-nano by @adtyavrdhn in #4787

Full Changelog: pydantic/pydantic-ai@v1.70.0...v1.71.0

`v1.70.0`: (2026-03-17)

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What's Changed

🚀 Features

Add bedrock_inference_profile to BedrockModelSettings and BedrockEmbeddingSettings by @dsfaccini in #4697

🐛 Bug Fixes

fix: OpenRouter Anthropic model profile matching for dotted model numbers by @majdalsado in #4690
fix: always pass embedding_types to Cohere embed() to prevent SDK TypeError by @adityasingh2400 in #4524
fix(google): add '512' as supported image generation size by @nat-bishop in #4649
fix(bedrock): sanitize tool names before sending to API by @DouweM in #4713
fix: handle malformed tool call args in Anthropic retry path by @Saad-Azi in #4431
fix: recover prior text for thinking-only responses instead of retrying by @majiayu000 in #4558

New Contributors

@adityasingh2400 made their first contribution in #4524
@nat-bishop made their first contribution in #4649
@Saad-Azi made their first contribution in #4431

Full Changelog: pydantic/pydantic-ai@v1.69.0...v1.70.0

`v1.69.0`: (2026-03-16)

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What's Changed

🚀 Features

Add description parameter to Agent and set gen_ai.agent.description on span by @Kludex in #4677
Send multimodal tool results to APIs directly instead of splitting into user parts by @dsfaccini in #3826
Add response-based fallback support for FallbackModel by @sarth6 in #3786

🐛 Bug Fixes

fix: enforce deps type on FunctionToolset.tool via tool/tool_plain split by @adtyavrdhn in #4626
fix: copy details dict in Usage.__add__ to prevent mutation of or… by @sksvineeth in #4606

Full Changelog: pydantic/pydantic-ai@v1.68.0...v1.69.0

`v1.68.0`: (2026-03-12)

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What's Changed

Changes

Remove redundant running tools parent span by @Kludex in #4560

🐛 Bug Fixes

fix(openai): thinking detection for gpt-5.3-chat-latest by @dsfaccini in #4567
fix: AG-UI follow-up messages failing after built-in tool use by @gcheshkov in #4624

📦 Dependencies

fix: remediate open Dependabot security alerts by @dsfaccini in [#4520](https://redirect.githu

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renovate · 2026-05-06T15:49:29Z

⚠️ Artifact update problem

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The artifact failure details are included below:

File name: uv.lock

Command failed: uv lock --upgrade-package pydantic-ai
Downloading cpython-3.13.13-linux-x86_64-gnu (download) (33.2MiB)
 Downloaded cpython-3.13.13-linux-x86_64-gnu (download)
Using CPython 3.13.13
  × No solution found when resolving dependencies for split (markers:
  │ python_full_version >= '3.14' and platform_machine != 's390x'):
  ╰─▶ Because all of:
          transformers>=4.54.0,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.34.0,<1.0 and huggingface-hub>=0.30.0,<1.0,
      we can conclude that all of:
          transformers>=4.51.0,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.30.0,<1.0.
      And because transformers>=4.49.0,<=4.50.3 depends on
      huggingface-hub>=0.26.0,<1.0, we can conclude that all of:
          transformers>=4.49.0,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.26.0,<1.0.
      And because transformers>=4.47.0,<=4.48.3 depends on
      huggingface-hub>=0.24.0,<1.0 and huggingface-hub>=0.23.2,<1.0, we can
      conclude that all of:
          transformers>=4.42.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.23.2,<1.0.
      And because transformers>=4.41.0,<=4.41.2 depends on
      huggingface-hub>=0.23.0,<1.0 and huggingface-hub>=0.19.3,<1.0, we can
      conclude that all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
      depend on huggingface-hub>=0.19.3,<1.0.
      And because pydantic-ai-slim[huggingface]==1.93.0 depends
      on huggingface-hub>=1.3.4 and pydantic-ai==1.93.0 depends on
      pydantic-ai-slim[huggingface]==1.93.0, we can conclude that
      pydantic-ai==1.93.0 and all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
       are incompatible.
      And because only pydantic-ai<=1.93.0 is available and
      mcp-optimizer:examples depends on pydantic-ai>=1.93.0, we can conclude
      that mcp-optimizer:examples and all of:
          transformers>=4.36.0,<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1,<=4.57.6
       are incompatible.
      And because optimum-onnx==0.1.0 depends on transformers>=4.36,<4.58.0
      and optimum[onnxruntime]==2.1.0 depends on optimum-onnx[onnxruntime], we
      can conclude that optimum[onnxruntime]==2.1.0, all of:
          transformers<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1,<=4.56.2
          transformers>=4.57.1
      , optimum-onnx[onnxruntime]>=0.1.0, mcp-optimizer:examples are
      incompatible.
      And because only the following versions of optimum-onnx[onnxruntime]
      are available:
          optimum-onnx[onnxruntime]==0.0.1
          optimum-onnx[onnxruntime]==0.0.2
          optimum-onnx[onnxruntime]==0.0.3
          optimum-onnx[onnxruntime]==0.1.0
      and transformers==4.57.0 was yanked (reason: Error in the setup causing
      installation issues), we can conclude that optimum[onnxruntime]==2.1.0,
      optimum-onnx>0.0.3, all of:
          transformers<=4.45.2
          transformers>=4.46.1,<=4.51.3
          transformers>=4.52.1
      , mcp-optimizer:examples are incompatible.
      And because transformers==4.52.0 was yanked and transformers==4.46.0
      was yanked (reason: This version unfortunately does not work with
      3.8 but we did not drop the support yet), we can conclude that
      optimum[onnxruntime]==2.1.0, optimum-onnx>0.0.3, all of:
          transformers<=4.36.0
          transformers==4.36.1
          transformers==4.36.2
          transformers==4.37.0
          transformers==4.37.1
          transformers==4.37.2
          transformers==4.38.0
          transformers==4.38.1
          transformers==4.38.2
          transformers==4.39.0
          transformers==4.39.1
          transformers==4.39.2
          transformers==4.39.3
          transformers==4.40.0
          transformers==4.40.1
          transformers==4.40.2
          transformers==4.41.0
          transformers==4.41.1
          transformers==4.41.2
          transformers==4.42.0
          transformers==4.42.1
          transformers==4.42.2
          transformers==4.42.3
          transformers==4.42.4
          transformers==4.43.0
          transformers==4.43.1
          transformers==4.43.2
          transformers==4.43.3
          transformers==4.43.4
          transformers==4.44.0
          transformers==4.44.1
          transformers==4.44.2
          transformers==4.45.0
          transformers==4.45.1
          transformers==4.45.2
          transformers==4.46.0
          transformers==4.46.1
          transformers==4.46.2
          transformers==4.46.3
          transformers==4.47.0
          transformers==4.47.1
          transformers==4.48.0
          transformers==4.48.1
          transformers==4.48.2
          transformers==4.48.3
          transformers==4.49.0
          transformers==4.50.0
          transformers==4.50.1
          transformers==4.50.2
          transformers==4.50.3
          transformers==4.51.0
          transformers==4.51.1
          transformers==4.51.2
          transformers==4.51.3
          transformers==4.52.0
          transformers==4.52.1
          transformers==4.52.2
          transformers==4.52.3
          transformers==4.52.4
          transformers==4.53.0
          transformers==4.53.1
          transformers==4.53.2
          transformers==4.53.3
          transformers==4.54.0
          transformers==4.54.1
          transformers==4.55.0
          transformers==4.55.1
          transformers==4.55.2
          transformers==4.55.3
          transformers==4.55.4
          transformers==4.56.0
          transformers==4.56.1
          transformers==4.56.2
          transformers==4.57.0
          transformers==4.57.1
          transformers==4.57.2
          transformers==4.57.3
          transformers==4.57.4
          transformers==4.57.5
          transformers==4.57.6
          transformers>=4.58.0
      , mcp-optimizer:examples are incompatible.
      And because only the following versions of transformers are available:
          transformers<=4.36.0
          transformers==4.36.1
          transformers==4.36.2
          transformers==4.37.0
          transformers==4.37.1
          transformers==4.37.2
          transformers==4.38.0
          transformers==4.38.1
          transformers==4.38.2
          transformers==4.39.0
          transformers==4.39.1
          transformers==4.39.2
          transformers==4.39.3
          transformers==4.40.0
          transformers==4.40.1
          transformers==4.40.2
          transformers==4.41.0
          transformers==4.41.1
          transformers==4.41.2
          transformers==4.42.0
          transformers==4.42.1
          transformers==4.42.2
          transformers==4.42.3
          transformers==4.42.4
          transformers==4.43.0
          transformers==4.43.1
          transformers==4.43.2
          transformers==4.43.3
          transformers==4.43.4
          transformers==4.44.0
          transformers==4.44.1
          transformers==4.44.2
          transformers==4.45.0
          transformers==4.45.1
          transformers==4.45.2
          transformers==4.46.0
          transformers==4.46.1
          transformers==4.46.2
          transformers==4.46.3
          transformers==4.47.0
          transformers==4.47.1
          transformers==4.48.0
          transformers==4.48.1
          transformers==4.48.2
          transformers==4.48.3
          transformers==4.49.0
          transformers==4.50.0
          transformers==4.50.1
          transformers==4.50.2
          transformers==4.50.3
          transformers==4.51.0
          transformers==4.51.1
          transformers==4.51.2
          transformers==4.51.3
          transformers==4.52.0
          transformers==4.52.1
          transformers==4.52.2
          transformers==4.52.3
          transformers==4.52.4
          transformers==4.53.0
          transformers==4.53.1
          transformers==4.53.2
          transformers==4.53.3
          transformers==4.54.0
          transformers==4.54.1
          transformers==4.55.0
          transformers==4.55.1
          transformers==4.55.2
          transformers==4.55.3
          transformers==4.55.4
          transformers==4.56.0
          transformers==4.56.1
          transformers==4.56.2
          transformers==4.57.0
          transformers==4.57.1
          transformers==4.57.2
          transformers==4.57.3
          transformers==4.57.4
          transformers==4.57.5
          transformers==4.57.6
          transformers>4.58.0
      and optimum-onnx<=0.0.3 depends on optimum>=2.0.0,<2.1.dev0, we can
      conclude that all of:
          optimum<2.0.0
          optimum>=2.1.dev0
      , optimum[onnxruntime]==2.1.0, mcp-optimizer:examples are incompatible.
      And because only optimum[onnxruntime]<=2.1.0 is available and
      mcp-optimizer:offline-models depends on optimum[onnxruntime]>=2.1.0,
      we can conclude that mcp-optimizer:offline-models and
      mcp-optimizer:examples are incompatible.
      And because your project requires mcp-optimizer:examples and
      mcp-optimizer:offline-models, we can conclude that your project's
      requirements are unsatisfiable.

      hint: While the active Python version is 3.13, the resolution failed for
      other Python versions supported by your project. Consider limiting your
      project's supported Python versions using `requires-python`.

renovate Bot force-pushed the renovate/pydantic-ai-1.x branch from 3a81a29 to 3ad3a67 Compare May 7, 2026 00:43

renovate Bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.90.0~~ chore(deps): update dependency pydantic-ai to >=1.91.0 May 7, 2026

renovate Bot force-pushed the renovate/pydantic-ai-1.x branch from 3ad3a67 to 6fb98c0 Compare May 8, 2026 05:27

renovate Bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.91.0~~ chore(deps): update dependency pydantic-ai to >=1.92.0 May 8, 2026

chore(deps): update dependency pydantic-ai to >=1.93.0

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renovate Bot force-pushed the renovate/pydantic-ai-1.x branch from 6fb98c0 to da2eab4 Compare May 9, 2026 02:02

renovate Bot changed the title ~~chore(deps): update dependency pydantic-ai to >=1.92.0~~ chore(deps): update dependency pydantic-ai to >=1.93.0 May 9, 2026

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chore(deps): update dependency pydantic-ai to >=1.93.0#534

chore(deps): update dependency pydantic-ai to >=1.93.0#534
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Release Notes

v1.93.0: (2026-05-08)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.92.0: (2026-05-07)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.91.0: (2026-05-06)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.90.0: (2026-05-04)

What's Changed

🚀 Features

📦 Dependencies

New Contributors

v1.89.1: (2026-05-01)

What's Changed

🤖 Coding Agent Experience

🐛 Bug Fixes

New Contributors

v1.89.0: (2026-04-30)

What's Changed

🚀 Features

🐛 Bug Fixes

v1.88.0: (2026-04-28)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.87.0: (2026-04-24)

What's Changed

🚀 Features

v1.86.1: (2026-04-23)

What's Changed

🐛 Bug Fixes

New Contributors

v1.86.0: (2026-04-22)

What's Changed

🚀 Features

🐛 Bug Fixes

New Contributors

v1.85.1: (2026-04-21)

What's Changed

🐛 Bug Fixes

New Contributors

v1.85.0: (2026-04-21)

What's Changed

🚀 Features

v1.84.1: (2026-04-17)

What's Changed

🐛 Bug Fixes

v1.84.0: (2026-04-16)

What's Changed

🔒 Security

🚀 Features

🐛 Bug Fixes

New Contributors

v1.83.0: (2026-04-15)

🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🚀 Features

New Contributors

v1.82.0: (2026-04-14)

🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

🐛 Bug Fixes

📦 Dependencies

New Contributors

v1.81.0: (2026-04-13)

🤖 Pydantic AI Harness is now live with Code Mode powered by Monty!

What's Changed

renovate Bot commented May 6, 2026 •

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`v1.93.0`: (2026-05-08)

`v1.92.0`: (2026-05-07)

`v1.91.0`: (2026-05-06)

`v1.90.0`: (2026-05-04)

`v1.89.1`: (2026-05-01)

`v1.89.0`: (2026-04-30)

`v1.88.0`: (2026-04-28)

`v1.87.0`: (2026-04-24)

`v1.86.1`: (2026-04-23)

`v1.86.0`: (2026-04-22)

`v1.85.1`: (2026-04-21)

`v1.85.0`: (2026-04-21)

`v1.84.1`: (2026-04-17)

`v1.84.0`: (2026-04-16)

`v1.83.0`: (2026-04-15)

`v1.82.0`: (2026-04-14)

`v1.81.0`: (2026-04-13)

`v1.80.0`: (2026-04-10)

`v1.79.0`: (2026-04-09)

`v1.78.0`: (2026-04-07)

`v1.77.0`: (2026-04-02)

`v1.76.0`: (2026-04-01)

`v1.75.0`: (2026-03-31)

`v1.74.0`: (2026-03-30)

`v1.73.0`: (2026-03-26)

`v1.72.0`: (2026-03-25)

`v1.71.0`: (2026-03-24)

`v1.70.0`: (2026-03-17)

`v1.69.0`: (2026-03-16)

`v1.68.0`: (2026-03-12)