OpenAI Agents SDK

OpenAI Agents SDK is a lightweight but powerful framework for building multi-agent workflows. Its core concepts include:

• Agents: Individuals configured based on large language models (LLM), where instructions, tools, guardrails, and handoff rules can be specified.
• Handoffs: Allowing agents to transfer control to other agents to handle specific tasks, enabling collaboration between agents.
• Guardrails: Configurable safety checks for input and output validation, ensuring the agent's behavior meets expectations.
• Tracing: Built-in agent runtime tracking functionality for easy viewing, debugging, and optimizing workflows.

This SDK is compatible with any model provider that supports the OpenAI Chat Completions API format.

OpenAI Agents SDK Use Cases

OpenAI Agents SDK is highly flexible and can be used to model various LLM workflows, including deterministic processes, iterative loops, etc. Some common use cases include:

• Task decomposition and allocation: Breaking down complex tasks into smaller subtasks and assigning them to different agents to improve efficiency and accuracy.
• Multilingual support: Using different agents to handle inputs and outputs in different languages, enabling multilingual application development.
• Tool invocation and integration: Integrating external tools into the agent's workflow to achieve more powerful functions, such as fetching weather information or querying databases.
• Complex dialogue flows: Building complex dialogue flows to enable smarter conversational interactions.
• Automated workflows: Automating repetitive tasks, such as document generation and data analysis.
• Simulation and research: Simulating complex systems and studying agent behavior and interactions.

In short, OpenAI Agents SDK aims to help developers build complex, LLM-based multi-agent systems more easily, providing tracing and debugging tools to ensure system reliability and controllability.