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.
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.
Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:
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.
- Classification: Explore techniques for text and data classification using Claude.
- Retrieval Augmented Generation: Learn how to enhance Claude's responses with external knowledge.
- Summarization: Discover techniques for effective text summarization with Claude.
- Tool use: Learn how to integrate Claude with external tools and functions to extend its capabilities.
- Retrieval augmented generation: Supplement Claude's knowledge with external data sources.
- Embeddings with Voyage AI
- Vision with Claude:
- Generate images with Claude: Use Claude with Stable Diffusion for image generation.
- Sub-agents: Learn how to use Haiku as a sub-agent in combination with Opus.
- Upload PDFs to Claude: Parse and pass PDFs as text to Claude.
- Automated evaluations: Use Claude to automate the prompt evaluation process.
- Enable JSON mode: Ensure consistent JSON output from Claude.
- Create a moderation filter: Use Claude to create a content moderation filter for your application.
- Prompt caching: Learn techniques for efficient prompt caching with Claude.
- Cost optimization: Work through a cost optimization checklist on an agent, measuring pass rate and cost per task to find the Pareto-optimal configuration.
- Latency optimization: Work through the latency levers on an agent, measuring time to first token, task time, and accuracy to pick the fastest configuration that clears your quality bar.
- 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.