Step-by-step solutions that show you how to build reliable, production-ready AI systems with Temporal. Learn practical paradigms for prompts, tools, retries, and Workflow design.
Simple example demonstrating how to call an LLM from Temporal using the OpenAI Python API library.
Updated Oct 7, 2025
Use Temporal and OpenAI Responses API to reliably request output conforming to a specific data structure.
Integrate LiteLLM into a Temporal Workflow in Python.
Updated Oct 10, 2025
Extract retry information from HTTP response headers and make it available to Temporal's retry mechanisms.
A basic agentic loop using Claude (Anthropic) with tool calling.
Updated Jan 16, 2026
A basic agentic loop that invokes a dynamic set of tools.
Updated Dec 17, 2025
A durable MCP server that uses Temporal workflows for reliable execution of weather tools.
Updated Dec 15, 2025
Build a simple, non-looping agent that gives agency to the LLM to choose tools, and then invokes chosen tools.
Updated Dec 4, 2025
Build a durable AI agent with OpenAI Agents SDK and Temporal that can intelligently choose tools to answer user questions
Updated Feb 9, 2026