claude-api-reference

To process PDFs with the Claude API, you upload the file, encode it to base64, and pass it in a document message to the messages endpoint. This Skill provides Python examples for base64 uploads, Files API usage, and handling mixed-media messages.

Implementing streaming responses with the Anthropic Python SDK involves using specific streaming patterns and handlers to process data chunks incrementally. This Skill offers ready-to-run Python scripts for building streaming handlers to manage real-time message generation.

Yes, you can use the Claude API for batch processing to achieve cost savings on large workloads. This Skill includes guidance and examples for configuring batch jobs and asynchronous handling within your Python integrations.

Yes, the Anthropic Python SDK supports tool use and function-calling workflows to extend model capabilities. This Skill provides patterns for integrating external tools, managing function calls, and implementing error handling with retry strategies.

Handling image processing with Claude requires adhering to specific base64 encoding practices and image size limits within your API requests. This reference outlines best practices for file and image handling, including size and page constraints.

Required headers and model selection strategies for Claude API messaging are essential for constructing valid requests and optimizing performance. This Skill provides clear guidance on setting request headers and choosing appropriate models for your application.