Co-Pilot / 辅助式
更新于 24 days ago

cookbook

Aanthropics
32.4k
anthropics/cookbook
80
Agent 评分

💡 摘要

Claude Cookbook为开发者提供了代码片段和指南,以有效使用Claude API。

🎯 适合人群

希望将Claude集成到应用程序中的AI开发者希望利用AI进行数据处理的数据科学家教授AI概念的教育工作者为AI工具编写文档的技术写作人员监督AI项目的产品经理

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析中风险

风险:Medium。建议检查:是否发起外网请求(SSRF/数据外发);API Key/Token 的获取、存储与泄露风险。以最小权限运行,并在生产环境启用前审计代码与依赖。

Claude Cookbooks

The Claude Cookbooks provide code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

Prerequisites

To make the most of the examples in this cookbook, you'll need a Claude API key (sign up for free here).

While the code examples are primarily written in Python, the concepts can be adapted to any programming language that supports interaction with the Claude API.

If you're new to working with the Claude API, we recommend starting with our Claude API Fundamentals course to get a solid foundation.

Explore Further

Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:

Contributing

The Claude Cookbooks thrives on the contributions of the developer community. We value your input, whether it's submitting an idea, fixing a typo, adding a new guide, or improving an existing one. By contributing, you help make this resource even more valuable for everyone.

To avoid duplication of efforts, please review the existing issues and pull requests before contributing.

If you have ideas for new examples or guides, share them on the issues page.

Table of recipes

Capabilities

Tool Use and Integration

Third-Party Integrations

Multimodal Capabilities

Advanced Techniques

Additional Resources

  • Anthropic on AWS: Explore examples and solutions for using Claude on AWS infrastructure.
  • AWS Samples: A collection of code samples from AWS which can be adapted for use with Claude. Note that some samples may require modification to work optimally with Claude.
五维分析
清晰度8/10
创新性8/10
实用性9/10
完整性8/10
可维护性7/10
优缺点分析

优点

  • 提供各种功能的全面代码片段
  • 支持与第三方工具的集成
  • 鼓励社区贡献
  • 适合所有级别的开发者

缺点

  • 主要集中在Python上,限制了语言灵活性
  • 访问需要API密钥
  • 可能缺乏高级用例
  • 文档可以更详细

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 anthropics.