

Openai Agents SDK
Overview :
The OpenAI Agents SDK is a development kit for building autonomous agents. It leverages OpenAI's advanced model capabilities, such as advanced reasoning, multi-modal interaction, and new safety technologies, providing developers with a simplified way to build, deploy, and scale reliable agent applications. The toolkit supports orchestration of both single-agent and multi-agent workflows and integrates observability tools to help developers track and optimize the agent's execution process. Key advantages include easily configurable LLM models, an intelligent agent handover mechanism, configurable safety checks, and powerful debugging and performance optimization features. This toolkit is suitable for enterprises and developers who need to automate complex tasks, aiming to improve productivity and efficiency through agent technology.
Target Users :
This product is suitable for enterprises and developers who need to build automated tasks and improve productivity, especially those dealing with complex, multi-step tasks such as automated customer support, multi-step research, content generation, code review, and sales lead analysis. With agent technology, users can delegate tedious tasks to agents, allowing them to focus on more valuable work.
Use Cases
Coinbase used the Agents SDK to rapidly prototype and deploy AgentKit, enabling AI agents to seamlessly interact with crypto wallets and on-chain activity.
Box leveraged the Agents SDK and web search capabilities to create agents for enterprises, enabling businesses to securely search and extract insights from internal and public internet data.
Navan uses file search tools within its AI-powered travel agent to provide users with precise knowledge base article answers.
Features
Supports the orchestration of single-agent and multi-agent workflows, simplifying the automation of complex tasks.
Provides easily configurable LLM models, supporting clear instructions and built-in tools.
Intelligent handover mechanism, capable of intelligently transferring control between different agents based on task requirements.
Configurable safety checks to ensure input and output validation, guaranteeing the safe operation of agents.
Integrates observability tools to visualize agent execution traces, facilitating debugging and performance optimization.
How to Use
Access the official OpenAI documentation to learn more about the Agents SDK and its usage guide.
Install the Agents SDK and integrate it into your Python codebase.
Define agents, including their names, instructions, and tools. For example, create a support agent to handle refund requests.
Configure the agent handover mechanism to route user requests to the correct agent based on task requirements.
Run the agent workflow by inputting user questions and observing how the agent processes and responds.
Utilize observability tools to debug and optimize the agent's execution process.
Expand agent functionality as needed by adding new tools and logic.
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