diff --git a/README.md b/README.md
index a8acfe5..84c729e 100644
--- a/README.md
+++ b/README.md
@@ -1,29 +1,35 @@
+
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理,属于社区翻译,非官方中文文档。
+> [English](./README.en.md) · [原始项目](https://github.com/openai/openai-agents-python) · [上游 README](https://github.com/openai/openai-agents-python/blob/HEAD/README.md)
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
+
# OpenAI Agents SDK [](https://pypi.org/project/openai-agents/)
-The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.
+OpenAI Agents SDK 是一款轻量而强大的框架,用于构建多智能体工作流。它与提供商无关(provider-agnostic),支持 OpenAI Responses 和 Chat Completions API,以及 100 多种其他 LLM。
-
+
> [!NOTE]
-> Looking for the JavaScript/TypeScript version? Check out [Agents SDK JS/TS](https://github.com/openai/openai-agents-js).
+> 在找 JavaScript/TypeScript 版本?请查看 [Agents SDK JS/TS](https://github.com/openai/openai-agents-js).
-### Core concepts:
+### 核心概念:
-1. [**Agents**](https://openai.github.io/openai-agents-python/agents): LLMs configured with instructions, tools, guardrails, and handoffs
-1. [**Sandbox Agents**](https://openai.github.io/openai-agents-python/sandbox_agents): Agents preconfigured to work with a container to perform work over long time horizons.
-1. **[Agents as tools](https://openai.github.io/openai-agents-python/tools/#agents-as-tools) / [Handoffs](https://openai.github.io/openai-agents-python/handoffs/)**: Delegating to other agents for specific tasks
-1. [**Tools**](https://openai.github.io/openai-agents-python/tools/): Various Tools let agents take actions (functions, MCP, hosted tools)
-1. [**Guardrails**](https://openai.github.io/openai-agents-python/guardrails/): Configurable safety checks for input and output validation
-1. [**Human in the loop**](https://openai.github.io/openai-agents-python/human_in_the_loop/): Built-in mechanisms for involving humans across agent runs
-1. [**Sessions**](https://openai.github.io/openai-agents-python/sessions/): Automatic conversation history management across agent runs
-1. [**Tracing**](https://openai.github.io/openai-agents-python/tracing/): Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows
-1. [**Realtime Agents**](https://openai.github.io/openai-agents-python/realtime/quickstart/): Build powerful voice agents with `gpt-realtime-2.1` and full agent features
+1. [**Agents**](https://openai.github.io/openai-agents-python/agents): 配置了指令、工具、防护栏(guardrails)和交接(handoffs)的 LLM
+1. [**Sandbox Agents**](https://openai.github.io/openai-agents-python/sandbox_agents): 预配置为与容器协同工作的智能体,可在较长的时间跨度内执行任务。
+1. **[Agents as tools](https://openai.github.io/openai-agents-python/tools/#agents-as-tools) / [Handoffs](https://openai.github.io/openai-agents-python/handoffs/)**: 将特定任务委派给其他智能体
+1. [**Tools**](https://openai.github.io/openai-agents-python/tools/): 多种工具使智能体能够执行操作(函数、MCP、托管工具)
+1. [**Guardrails**](https://openai.github.io/openai-agents-python/guardrails/): 可配置的安全检查,用于输入和输出验证
+1. [**Human in the loop**](https://openai.github.io/openai-agents-python/human_in_the_loop/): 内置机制,可在智能体运行过程中引入人工参与
+1. [**Sessions**](https://openai.github.io/openai-agents-python/sessions/): 跨智能体运行自动管理对话历史
+1. [**Tracing**](https://openai.github.io/openai-agents-python/tracing/): 内置智能体运行追踪,便于查看、调试和优化工作流
+1. [**Realtime Agents**](https://openai.github.io/openai-agents-python/realtime/quickstart/): 使用 `gpt-realtime-2.1` 构建功能完备的强大语音智能体
-Explore the [examples](https://github.com/openai/openai-agents-python/tree/main/examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details.
+浏览 [examples](https://github.com/openai/openai-agents-python/tree/main/examples) 目录查看 SDK 的实际用法,并阅读我们的 [documentation](https://openai.github.io/openai-agents-python/) 了解更多详情。
-## Get started
+## 快速开始
-To get started, set up your Python environment (Python 3.10 or newer required), and then install OpenAI Agents SDK package.
+开始前,请先配置 Python 环境(需要 Python 3.10 或更高版本),然后安装 OpenAI Agents SDK 包。
### venv
@@ -33,26 +39,26 @@ source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install openai-agents
```
-For voice support, install with the optional `voice` group: `pip install 'openai-agents[voice]'`. For Redis session support, install with the optional `redis` group: `pip install 'openai-agents[redis]'`.
+如需语音支持,请使用可选的 `voice` 依赖组安装:`pip install 'openai-agents[voice]'`。如需 Redis 会话支持,请使用可选的 `redis` 依赖组安装:`pip install 'openai-agents[redis]'`。
### uv
-If you're familiar with [uv](https://docs.astral.sh/uv/), installing the package would be even easier:
+如果你熟悉 [uv](https://docs.astral.sh/uv/), 安装该包会更加简便:
```bash
uv init
uv add openai-agents
```
-For voice support, install with the optional `voice` group: `uv add 'openai-agents[voice]'`. For Redis session support, install with the optional `redis` group: `uv add 'openai-agents[redis]'`.
+如需语音支持,请使用可选的 `voice` 依赖组安装:`uv add 'openai-agents[voice]'`。如需 Redis 会话支持,请使用可选的 `redis` 依赖组安装:`uv add 'openai-agents[redis]'`。
-## Run your first agents
+## 运行你的第一个智能体
-The SDK supports three primary ways to run agents. Set the `OPENAI_API_KEY` environment variable before running any of these examples.
+SDK 支持三种主要方式来运行智能体。在运行以下任一示例之前,请设置 `OPENAI_API_KEY` 环境变量。
-### Run a sandbox agent
+### 运行沙盒智能体
-Use a [`SandboxAgent`](https://openai.github.io/openai-agents-python/sandbox_agents) when the agent needs to inspect files, run commands, apply patches, or preserve workspace state across longer tasks.
+当智能体需要检查文件、运行命令、应用补丁,或在较长任务中保持工作区状态时,请使用 [`SandboxAgent`](https://openai.github.io/openai-agents-python/sandbox_agents)。
```python
from agents import Runner
@@ -75,9 +81,9 @@ result = Runner.run_sync(
print(result.final_output)
```
-### Run a text agent
+### 运行文本智能体
-Use a text `Agent` for workflows that do not need a persistent realtime connection or a sandbox workspace.
+对于不需要持久实时连接或沙盒工作区的工作流,请使用文本 `Agent`。
```python
from agents import Agent, Runner
@@ -92,11 +98,11 @@ print(result.final_output)
# Infinite loop's dance.
```
-(_For Jupyter notebook users, see [hello_world_jupyter.ipynb](https://github.com/openai/openai-agents-python/blob/main/examples/basic/hello_world_jupyter.ipynb)_)
+(_Jupyter notebook 用户请参阅 [hello_world_jupyter.ipynb](https://github.com/openai/openai-agents-python/blob/main/examples/basic/hello_world_jupyter.ipynb)_)
-### Run a realtime agent
+### 运行实时智能体
-Use a [`RealtimeAgent`](https://openai.github.io/openai-agents-python/realtime/quickstart/) for low-latency, server-side voice and multimodal experiences over WebSocket.
+通过 WebSocket 实现低延迟、服务端语音与多模态体验时,请使用 [`RealtimeAgent`](https://openai.github.io/openai-agents-python/realtime/quickstart/)。
```python
import asyncio
@@ -122,28 +128,28 @@ if __name__ == "__main__":
asyncio.run(main())
```
-Explore the [examples](https://github.com/openai/openai-agents-python/tree/main/examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details.
+浏览 [examples](https://github.com/openai/openai-agents-python/tree/main/examples) 目录查看 SDK 的实际用法,并阅读我们的 [documentation](https://openai.github.io/openai-agents-python/) 了解更多详情。
-## Acknowledgements
+## 致谢
-We'd like to acknowledge the excellent work of the open-source community, especially:
+我们要感谢开源社区的杰出贡献,尤其是:
- [Pydantic](https://docs.pydantic.dev/latest/)
- [Requests](https://github.com/psf/requests)
- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)
- [Griffe](https://github.com/mkdocstrings/griffe)
-This library has these optional dependencies:
+本库包含以下可选依赖:
- [websockets](https://github.com/python-websockets/websockets)
- [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy)
- [any-llm](https://github.com/mozilla-ai/any-llm) and [LiteLLM](https://github.com/BerriAI/litellm)
-We also rely on the following tools to manage the project:
+我们还依赖以下工具来管理项目:
- [uv](https://github.com/astral-sh/uv) and [ruff](https://github.com/astral-sh/ruff)
- [mypy](https://github.com/python/mypy) and [Pyright](https://github.com/microsoft/pyright)
- [pytest](https://github.com/pytest-dev/pytest) and [Coverage.py](https://github.com/coveragepy/coveragepy)
- [MkDocs](https://github.com/squidfunk/mkdocs-material)
-We're committed to continuing to build the Agents SDK as an open source framework so others in the community can expand on our approach.
+我们致力于持续将 Agents SDK 构建为开源框架,以便社区中的其他人能够在我们的方法基础上进行扩展。