OpenAI Agents SDK - A software development toolkit for building intelligent agent applications using OpenAI's large language models.

## OpenAI Agents SDK Overview The OpenAI Agents SDK is a software development toolkit designed to help developers build intelligent agent applications using OpenAI's large language models (LLM). It provides a set of abstractions and powerful features to simplify the creation of complex, multi-agent systems. The SDK is particularly suited for real-world applications requiring task delegation, input validation, and coordination between multiple agents. ## Key Features of OpenAI Agents SDK The OpenAI Agents SDK includes the following key features: - **Agent Loop**: Manages the process of calling tools, sending results to the LLM, and looping until the task is completed. - **Python-first**: Leverages Python's built-in language features for workflow orchestration. - **Handoffs**: Allows agents to coordinate and delegate tasks to other agents. - **Guardrails**: Implements input validations and checks in parallel, ensuring data integrity and safety. - **Function Tools**: Converts any Python function into a tool with automatic schema generation and Pydantic-powered validation. - **Tracing**: Provides visualization, debugging, and monitoring of agent workflows, integrating with OpenAI's evaluation, fine-tuning, and distillation tools. ## Multi-Agent Coordination in OpenAI Agents SDK The OpenAI Agents SDK handles multi-agent coordination through its **Handoffs** feature, which allows agents to delegate specific tasks to other agents. This enables the creation of workflows where multiple specialized agents work together to complete complex tasks, such as task escalation or language translation across multiple languages. ## Key Features of OpenAI Agents SDK The core functions of the OpenAI Agents SDK include: - **Agents**: These are large language models (LLM) configured with specific instructions and tools, forming the backbone of agentic applications. - **Handoffs**: This function allows agents to delegate tasks to other agents, facilitating multi-agent workflows. - **Guardrails**: Validates agent inputs to maintain data integrity and correctness, crucial for applications where input errors could lead to significant issues. ## Installation and Usage of OpenAI Agents SDK Developers can install and use the OpenAI Agents SDK by following these steps: 1. **Installation**: Install the SDK using the command `pip install openai-agents`. 2. **Setup**: Set the `OPENAI_API_KEY` environment variable to authenticate with OpenAI's API, e.g., `export OPENAI_API_KEY=sk-...`. 3. **Example Usage**: Create an agent, set instructions, and run it synchronously using the `Runner` class. For example: ### Citation sources: - [OpenAI Agents SDK](https://openai.github.io/openai-agents-python) - Official URL Updated: 2025-03-28