8 docs tagged with "python"

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

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

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

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

Integrate LiteLLM into a Temporal Workflow in Python.

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

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

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