openai-agents-python
O
Openai Agents Python
Overview :
The OpenAI Agents SDK is a framework for building multi-agent workflows. It allows developers to create complex automated workflows by configuring instructions, tools, security mechanisms, and handoffs between agents. The framework supports integration with any model that conforms to the OpenAI Chat Completions API format, offering high flexibility and scalability. It is primarily used in programming scenarios to help developers quickly build and optimize agent-driven applications.
Target Users :
This product is suitable for developers and teams who need to build complex automated workflows, especially those needing to leverage large language models (LLMs) for task automation and optimization. It helps developers quickly build agent-driven applications, improving development efficiency and application performance.
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Use Cases
Use agents to generate poems or stories
Build multilingual agents that automatically switch response languages based on input language
Integrate a weather query tool to obtain real-time weather information via agents
Features
Supports handoffs between agents, allowing tasks to be transferred to other agents
Provides configurable guardrails for input and output validation
Built-in tracing functionality for easy workflow monitoring and optimization
Compatible with any model supporting the OpenAI Chat Completions API format
Supports asynchronous and synchronous operation modes to meet different development needs
How to Use
1. Set up Python environment: Create a virtual environment and activate it using `python -m venv env`
2. Install Agents SDK: Run `pip install openai-agents` to install
3. Create an agent: Define the agent's name, instructions, and tools through the `Agent` class
4. Run the agent: Use the `Runner.run()` method to start the agent and obtain results
5. Debug and optimize: Monitor agent operation and optimize using the built-in tracing function
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