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openai-agents

Integrates OpenAI Agents SDK with Temporal workflows for AI application development.

Updated Jan 15, 2026
Search Tags:#python#workflow orchestration#agents#ai integration#openai#temporal#function calling
One-click install
npx skills add https://github.com/yasinnerten/temporal-openai-agents-sdk --skill openai-agents-yasinnerten
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-agents
Source: https://github.com/yasinnerten/temporal-openai-agents-sdk/tree/main/skills/openai-agents
Command: npx skills add https://github.com/yasinnerten/temporal-openai-agents-sdk --skill openai-agents-yasinnerten

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to seamlessly integrate the OpenAI Agents SDK with Temporal workflows, enabling the creation of robust, reliable, and scalable AI-powered applications.

Core Features & Use Cases

  • Setup and Configuration: Detailed instructions for installing dependencies and configuring environment variables for both OpenAI and Temporal.
  • Basic Usage: Examples of chat completions and streaming responses using the OpenAI SDK within Temporal activities.
  • Agents with Tools: Demonstrates how to implement function calling and build autonomous agents that can interact with external tools.
  • Error Handling: Strategies for managing rate limits and token management with OpenAI API.
  • Integration with Temporal: Clear examples of defining activities and workflows that leverage OpenAI capabilities.
  • Best Practices: Guidance on cost optimization, prompt engineering, and context management.
  • Testing: Includes examples for mocking OpenAI API calls and integration testing with Temporal.
  • Security: Best practices for API key management and input sanitization.

Quick Start

Follow the setup instructions to install dependencies and configure your environment variables, then run the provided worker and workflow examples to see OpenAI agents orchestrated by Temporal.

Frequently Asked Questions about openai-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate OpenAI agents with Temporal workflows?▼

You integrate OpenAI agents with Temporal by defining activities that execute OpenAI SDK calls, then orchestrating those activities within Temporal workflows to build reliable AI applications.

How does function calling work with OpenAI agents in Temporal?▼

Function calling allows OpenAI agents to interact with external tools by defining them as Temporal activities, enabling autonomous agents to execute tracked operations within your workflow.

Can I use streaming responses with OpenAI inside Temporal activities?▼

Yes, you can implement streaming responses within Temporal activities by using the OpenAI SDK's streaming capabilities to process chat completions efficiently as your workflow executes.

How do I handle OpenAI rate limits and token management in Temporal?▼

You handle rate limits and token management by implementing error handling strategies within your Temporal activities, ensuring your workflows manage OpenAI API constraints gracefully without failing.

What is the best way to test OpenAI and Temporal workflow integrations?▼

The best way to test OpenAI and Temporal integrations is by mocking OpenAI API calls for unit tests and running integration tests with Temporal to verify workflow logic without consuming API resources.

Do I need to configure environment variables for OpenAI and Temporal setup?▼

Yes, setup requires configuring environment variables for both OpenAI and Temporal, including secure API key management and connection parameters to successfully run your workers and workflows.

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