Basic agentic loop with OpenAI and tool calling
Build a durable agentic loop in Python that calls a dynamic set of tools with Temporal and the OpenAI Responses API.
Build a durable agentic loop in Python that calls a dynamic set of tools with Temporal and the OpenAI Responses API.
Build a multi-agent deep research system in Python with Temporal and the OpenAI Responses API.
Build a durable AI agent with the OpenAI Agents SDK and Temporal that chooses tools to answer user questions.
Call an LLM from a durable Temporal Workflow in Python using the OpenAI API library.
Add human-in-the-loop approval to a durable AI agent using Temporal Signals in Python.
Extract retry information from HTTP response headers and pass it to Temporal's retry mechanisms in Python.
Use Temporal and the OpenAI Responses API to reliably request output conforming to a specific data structure.
Build a simple, non-looping Python agent that lets the LLM choose tools and then invokes the chosen tools with Temporal and OpenAI.