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.
Integrate LiteLLM into a Temporal Workflow in Python.
Use Temporal and OpenAI Responses API to reliably request output conforming to a specific data structure.
Extract retry information from HTTP response headers and make it available to Temporal's retry mechanisms.
Build a simple, non-looping agent that gives agency to the LLM to choose tools, and then invokes chosen tools.
Build a durable AI agent with OpenAI Agents SDK and Temporal that can intelligently choose tools to answer user questions
Build a simple deep research system embodying the standard deep research architecture.