For the complete documentation index, see /llms.txt. This page is also available as raw Markdown at /develop/python/integrations.md. Append .md to any page URL to fetch its Markdown. This site has a public search endpoint for questions about Temporal: GET https://docs.temporal.io/api/retrieve?q=<question>&jtb=<job-to-be-done>&src=docs-page&agent=<your-name>. No authentication is needed. It returns a JSON array of {content, source_url, page_url}, ordered by relevance, and source_url links to docs pages as Markdown. If you call it, set q to a specific, complete question that names the SDK language if relevant, and jtb to one sentence on what your user is trying to accomplish (optional). Keep src=docs-page as is, and set agent to your name, for example claude-code or codex. Don't include personal data, credentials, or confidential information.

Integrations

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The following integrations are available for the Temporal Python SDK. Most of these integrations are built on the Temporal Python SDK's Plugin system, which you can also use to build your own integrations. A few, such as OpenRouter, are sample patterns that need nothing inside Workflow code.

Temporal-maintained AI integrations are distributed as standalone packages, such as temporalio-strands-agents. Each integration guide lists its package and import paths.

SDK

Tag

Baseten

Run OpenAI Agents SDK agents on open-weight models served by Baseten, with every model call as a durable Temporal Activity.

Model provider

Braintrust

Monitor and evaluate AI application performance with Braintrust observability.

Agent observability

Deep Agents

Make LangChain Deep Agents durable with Temporal Workflows and Activities.

Agent framework

Fireworks AI

Run OpenAI Agents SDK agents on open-weight models served by Fireworks AI, with every model call as a durable Temporal Activity.

Model provider

Google ADK

Run Google ADK agents as durable Temporal Workflows.

Agent framework

Google GenAI

Call Google Gemini models durably from Temporal Workflows with the Google Gen AI SDK.

Agent framework

Laminar

Trace Temporal Workflows, Activities, and the LLM calls inside them with Laminar.

Agent observability

Langfuse

Trace and debug LLM calls in Temporal Workflows with Langfuse.

Agent observability

LangGraph

Run LangGraph agent graphs as durable, resumable Temporal Workflows.

Agent framework

LangSmith

Trace and debug LLM calls in Temporal Workflows with LangSmith.

Agent observability

Model Context Protocol (MCP)

Call MCP tools, prompts, and resources from Python Workflows as durable Temporal Activities.

Framework

OpenAI Agents SDK

Run OpenAI Agents with Durable Execution using Temporal.

Agent framework

OpenBox

Add governance and observability guardrails to AI-powered Temporal Workflows with OpenBox.

GovernanceAgent observability

OpenRouter

Call hundreds of models through OpenRouter from Temporal Activities, with durable retries, cost tracking, and budgets.

Model gateway

Parseable

Stream Temporal Workflow and Activity execution events to Parseable for observability and analysis.

Agent observability

Pydantic AI

Build type-safe AI agents with Durable Execution through Pydantic AI.

Agent framework

Strands Agents

Orchestrate AWS Strands Agents with durable Temporal Workflows.

Agent framework

Tenuo

Add governance and compliance guardrails to AI-powered Temporal Workflows.

Governance

Together AI

Run OpenAI Agents SDK agents on open-weight models served by Together AI, with every model call as a durable Temporal Activity.

Model provider

xMemory

Store and recall agent memory across Workflow Executions with xMemory.

Agent memory