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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.

SDK
Tag

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

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

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

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

xMemory

Store and recall agent memory across Workflow Executions with xMemory.

Agent memory