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# Temporal OpenAI Agents SDK Integration
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⚠️ **Experimental** - This module is not yet stable and may change in the future.
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⚠️ **Public Preview** - This integration is experimental and its interfaces may change prior to General Availability.
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This directory contains samples demonstrating how to use the [OpenAI Agents SDK](https://github.com/openai/openai-agents-python) with Temporal's durable execution engine.
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These samples are adapted from the [OpenAI Agents SDK examples](https://github.com/openai/openai-agents-python/tree/main/examples) and extended with Temporal's durability and orchestration capabilities.
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-**[Basic Examples](./basic/README.md)** - Simple agent examples including a hello world agent and a tools-enabled agent that can access external APIs like weather services.
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-**[Agent Patterns](./agent_patterns/README.md)** - Advanced patterns for agent composition, including using agents as tools within other agents.
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-**[Tools](./tools/README.md)** - Demonstrates available tools such as file search, image generation, and others.
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-**[Handoffs](./handoffs/README.md)** - Agents collaborating via handoffs.
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-**[Hosted MCP](./hosted_mcp/README.md)** - Using the MCP client functionality of the OpenAI Responses API.
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-**[Model Providers](./model_providers/README.md)** - Using custom LLM providers (e.g., Anthropic via LiteLLM).
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-**[Research Bot](./research_bot/README.md)** - Multi-agent research system with specialized roles: a planner agent, search agent, and writer agent working together to conduct comprehensive research.
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-**[Customer Service](./customer_service/README.md)** - Interactive customer service agent with escalation capabilities, demonstrating conversational workflows.
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-**[Reasoning Content](./reasoning_content/README.md)** - Example of how to retrieve the thought process of reasoning models.
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-**[Financial Research Agent](./financial_research_agent/README.md)** - Multi-agent financial research system with planner, search, analyst, writer, and verifier agents collaborating.
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