Developers can solve practical problems with Claude API recipes
This collection gathers code examples that address common sticking points when integrating Claude into applications. Presented as Jupyter notebook guides that can be copied and run immediately, the content covers various scenarios from text classification to image understanding and external tool integration. Developers can use these recipes to quickly design structures suitable for their own projects.
Copy-and-paste code snippets
This repository goes beyond conceptual explanations to provide code snippets that can be integrated into real projects. Each recipe is a Jupyter notebook focused on solving a specific problem, allowing you to test it immediately once your execution environment is set up. While the examples are primarily written in Python, the concepts can be applied in any language that can interact with the Claude API. If you are new to the Claude API, it is recommended to review the basic tutorials first.
Recipe structure by feature
The recipes are divided into several major groups based on how they utilize Claude's capabilities.
- Basic feature usage Covers text and data classification, summarization, and retrieval-augmented generation techniques for external knowledge bases.
- Tools and integration Shows how to connect Claude with external functions or tools to extend functionality. Includes examples for customer service, calculators, and SQL queries.
- Multimodal processing Addresses image understanding, chart interpretation, form content extraction, and image generation using Stable Diffusion.
- Advanced techniques Provides sub-agent usage, PDF upload, automated evaluation, JSON mode activation, content moderation filters, prompt caching, and a cost optimization checklist.
Pre-execution preparation
You need a Claude API key to run the examples. You can obtain a key through free registration and must set this key in your code. Since the code is primarily written in Python, you need a Python environment and access to Jupyter notebooks. If you are not familiar with using the Claude API, completing the basic course in the official documentation will help improve your understanding.
Pre-use checks
This repository is maintained through community contributions, with new ideas and modifications added continuously. If you wish to contribute, check existing issues and pull requests first to avoid duplicate work. If you plan to use Claude on AWS infrastructure, you can refer to the AWS sample code, though some modifications may be required. To verify the latest status or compatibility of a specific recipe, it is advisable to check for the latest updates to that notebook before running it.
