# Strands Agents SDK — Python Agents in a Few Lines

> Strands Agents SDK is a Python framework for model-driven agents. Install `strands-agents`, define tools, and run useful agents in a few lines.

## Install

Save the content below to `.claude/skills/` or append to your `CLAUDE.md`:

## Quick Use

1. Install the verified package or repo entrypoint:

```bash
pip install strands-agents strands-agents-tools
```

2. Run the first local check:

```bash
python agent.py
```

3. Add a repeatable verification command:

```bash
python -m pytest
```

---

## Intro

Strands Agents SDK is a verified GitHub-backed tool for modern AI and developer workflows, sourced from `strands-agents/sdk-python` with 5,832 stars and a Apache-2.0 license snapshot. Best for: Python teams that want concise agent definitions, tool use, and AWS-friendly deployment patterns without building orchestration from scratch. Works with: Python, tool functions, model providers, strands-agents-tools, testable agent modules. Setup time: 8 minutes. Use it when you need a concrete, repeatable path rather than another one-off shell snippet.

---

## Operating Pattern

### Fit check

| Question | Practical answer |
|---|---|
| What do you install? | `strands-agents` from `strands-agents/sdk-python` |
| What is the first command? | `python agent.py` |
| What proves it works? | `python -m pytest` |
| How long should a pilot take? | 8 minutes for a small repo or sandbox |

### Adoption loop

1. Run the tool on a disposable branch or sandbox project.
2. Capture before/after output so reviewers can see the exact effect.
3. Add the smallest CI or local check that prevents regressions.
4. Document owner, upgrade command, and rollback command in the repo.

### Recommended use

Start with a tiny agent that owns one workflow. Add tools one at a time and write tests around tool outputs before widening the action surface.

### Guardrails

Keep credentials outside examples. Agent demos often start simple, but production use needs scoped secrets and explicit environment loading.

### Rollout checklist

- Pin the package or release version before using it in CI.
- Keep credentials in environment variables or the platform secret store.
- Add one owner who is responsible for upgrades and breaking-change triage.
- Re-check the GitHub repo before writing docs that mention APIs or install paths.


---

### FAQ

**Q: Is this production-ready?**
A: The repo exists at `https://github.com/strands-agents/sdk-python` and has 5,832 GitHub stars. Treat the first rollout as a controlled pilot until your team has tested install, rollback, and CI behavior.

**Q: Why use it instead of a generic script?**
A: The value is repeatability: a named package, a documented command, a source repo, and a small verification path that can be reviewed by teammates.

**Q: What should I measure first?**
A: Measure setup time against the 8 minutes target, count how many files or tasks it changes, and record whether the CI command catches the same issue locally.

---

## Source & Thanks

> Built from [strands-agents/sdk-python](https://github.com/strands-agents/sdk-python). License: Apache-2.0.
>
> GitHub stars verified from `api.github.com/repos/strands-agents/sdk-python`: 5,832.

---

<!-- ZH -->

## 快速使用

1. 安装已验证的包或仓库入口：

```bash
pip install strands-agents strands-agents-tools
```

2. 跑第一次本地检查：

```bash
python agent.py
```

3. 加一个可重复验证命令：

```bash
python -m pytest
```

---

## 简介

Strands Agents SDK 是一个已通过 GitHub 仓库验证的现代 AI / 开发者工具，来源 `strands-agents/sdk-python`，当前星标快照 5,832，许可证 Apache-2.0。适合：想要简洁 agent 定义、工具调用和 AWS 友好部署模式，而不想从零搭编排的 Python 团队。兼容：Python、工具函数、模型供应商、strands-agents-tools、可测试 agent 模块。装机时间：8 minutes。当你需要的是可重复落地路径，而不是一次性 shell 片段时，用它。

---

## 操作模式

### 适配检查

| 问题 | 实用答案 |
|---|---|
| 安装什么？ | 来自 `strands-agents/sdk-python` 的 `strands-agents` |
| 第一条命令？ | `python agent.py` |
| 如何证明可用？ | `python -m pytest` |
| 小范围试点多久？ | 小仓库或 sandbox 约 8 minutes |

### 接入循环

1. 先在一次性分支或 sandbox 项目里跑。
2. 记录 before / after 输出，让 reviewer 看见实际影响。
3. 加最小的 CI 或本地检查，防止同类问题回归。
4. 在仓库文档里写清 owner、升级命令和回滚命令。

### 推荐用法

先做一个只负责单一工作流的小 agent。工具逐个添加，并围绕工具输出写测试，再扩大可操作范围。

### 风险边界

凭据不要写进示例。Agent demo 通常很简单，但生产使用需要受限密钥和明确环境加载。

### 推广检查表

- 进入 CI 前固定包版本或 release 版本。
- 凭据放进环境变量或平台 secret store。
- 指定一个 owner 负责升级和 breaking change 分流。
- 文档里写 API 或安装路径前，重新核验 GitHub 仓库。


---

### FAQ

**Q: 能直接上生产吗？**
A: 仓库已验证存在：`https://github.com/strands-agents/sdk-python`，GitHub 星标 5,832。第一次上线仍建议控制试点，先验证安装、回滚和 CI 行为。

**Q: 为什么不用普通脚本？**
A: 价值在可重复：有命名包、文档化命令、源仓库和可被团队 review 的最小验证路径。

**Q: 第一步应该量什么？**
A: 先量装机时间是否接近 8 minutes，它改了多少文件或任务，以及 CI 命令是否能在本地抓到同类问题。

---

## 来源与感谢

> 来源：[strands-agents/sdk-python](https://github.com/strands-agents/sdk-python)。许可证：Apache-2.0。
>
> GitHub stars 已通过 `api.github.com/repos/strands-agents/sdk-python` 验证：5,832。


---
Source: https://tokrepo.com/en/workflows/strands-agents-sdk-python-agents-in-a-few-lines
Author: Strands Agents