Description
The OpenAI Agents SDK is designed to facilitate the development of agentic AI applications in a lightweight and user-friendly manner. It serves as a production-ready upgrade from previous experimentation with agents, specifically Swarm. The SDK comprises a small set of primitives that include Agents, which are large language models (LLMs) equipped with specific instructions and tools, and the ability to delegate tasks to other agents through handoffs. Additionally, it incorporates guardrails that validate agent inputs and outputs, ensuring safety and reliability in applications.
By leveraging Python, developers can express complex relationships between tools and agents, enabling the creation of real-world applications without a steep learning curve. The SDK is built with two primary design principles in mind: it offers enough features to be valuable while maintaining a simplicity that allows for quick learning. It works effectively out of the box, yet provides customization options for developers to tailor the functionality to their needs.
Key features of the SDK include the ability to build agents with instructions, tools, guardrails, and a built-in loop that continues until tasks are completed. Sandbox agents allow for the execution of specialists in isolated workspaces, supporting manifest-defined files and resumable sessions. The SDK also supports the development of real-time voice agents, integrating automatic interruption detection and context management. Furthermore, it enables the creation of voice pipelines that combine speech-to-text and text-to-speech functionalities.
The SDK utilizes the Responses API by default for OpenAI models, wrapping model calls in a higher-level runtime. This allows developers to manage turns, tool execution, and sessions seamlessly. The installation process is straightforward, with a quickstart guide available to help users build their first text-based agent. The SDK is suitable for a wide range of applications, from simple tasks to complex workflows, making it a versatile tool for developers looking to harness the power of AI agents.
OpenAI Agents SDK's Core Features
Agents: Build agents with instructions and tools
Sandbox agents: Run specialists in isolated workspaces
Realtime agents: Create powerful voice agents
Voice agents: Combine speech-to-text and text-to-speech
Python-first: Utilize built-in language features
Handoffs: Delegate tasks across multiple agents
Guardrails: Input validation and safety checks
Function tools: Turn Python functions into tools
Sessions: Maintain working context within agent loops
Tracing: Visualize and debug workflows
Getting Started with OpenAI Agents SDK
Quickstart: Build your first text-based agent
Running agents: Decide how to carry state across turns
Sandbox agents quickstart: Read about isolated workspace state
Agent orchestration: Choose between handoffs and manager-style orchestration
Sessions: Learn how to keep memory across turns
Models: Use OpenAI models or non-OpenAI providers
Results: Review outputs and manage interruptions
Realtime agents quickstart: Build a low-latency voice agent
OpenAI Agents SDK's Use Cases
- Text-based agents
- Voice applications
- Task delegation
- Real-time interactions
- Isolated environments
