AI Cookbook | Temporal Platform Documentation

Skip to main content[## Hello World

Simple example demonstrating how to call an LLM from Temporal using the OpenAI Python API library.

• FOUNDATIONS- OPENAI- PYTHON

Learn more](https://docs.temporal.io/ai-cookbook/hello-world-openai-responses-python)[## Structured Outputs with Temporal and OpenAI

Use Temporal and OpenAI Responses API to reliably request output conforming to a specific data structure.

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Learn more](https://docs.temporal.io/ai-cookbook/structured-output-openai-responses-python)[## Hello World with LiteLLM

Integrate LiteLLM into a Temporal Workflow in Python.

• PYTHON- LITELLM- PROVIDER-NEUTRAL

Learn more](https://docs.temporal.io/ai-cookbook/hello-world-litellm-python)[## Retry Policy from HTTP Responses

Extract retry information from HTTP response headers and make it available to Temporal's retry mechanisms.

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Learn more](https://docs.temporal.io/ai-cookbook/http-retry-enhancement-python)[## Basic Agentic Loop with Tool Calling

A basic agentic loop that invokes a dynamic set of tools.

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Learn more](https://docs.temporal.io/ai-cookbook/agentic-loop-tool-call-openai-python)[## Durable MCP Weather Server

A durable MCP server that uses Temporal workflows for reliable execution of weather tools.

• MCP- PYTHON- WORKFLOWS

Learn more](https://docs.temporal.io/ai-cookbook/hello-world-durable-mcp-server)[## Tool calling agent

Build a simple, non-looping agent that gives agency to the LLM to choose tools, and then invokes chosen tools.

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Learn more](https://docs.temporal.io/ai-cookbook/tool-call-openai-python)[## Deep Research

Build a simple deep research system embodying the standard deep research architecture.

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Learn more](https://docs.temporal.io/ai-cookbook/basic-openai-python)[## Hello World - Agent with Tools

Build a durable AI agent with OpenAI Agents SDK and Temporal that can intelligently choose tools to answer user questions

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Learn more](https://docs.temporal.io/ai-cookbook/openai-agents-sdk-python)

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