OpenAI Agents Python - AI Agent Frameworks Tool
Overview
OpenAI Agents Python is a lightweight framework for building multi-agent workflows with large language models (LLMs). It provides built-in agent tracing and agent management to observe, control, and coordinate agent behavior.
Key Features
- Lightweight Python framework for multi-agent workflows
- Built-in agent tracing for observability of interactions
- Agent management tools to create and control agents
- Designed for LLM-driven agents and orchestration
- Hosted on GitHub (openai/openai-agents-python) for source access
Ideal Use Cases
- Orchestrate coordinated multi-agent workflows
- Trace and debug agent interactions and decisions
- Prototype LLM-driven agent systems in Python
- Manage agent lifecycle and runtime behavior
- Divide complex tasks across multiple LLM agents
Getting Started
- Visit the GitHub repository openai/openai-agents-python
- Clone or download the repository to your machine
- Open the repository README for installation instructions
- Install required Python dependencies as documented
- Run included example workflows to validate your setup
- Enable built-in tracing to inspect agent behavior
Pricing
Not disclosed in the provided repository metadata. Check the GitHub project or documentation for current pricing information.
Key Information
- Category: Agent Frameworks
- Type: AI Agent Frameworks Tool