claude-api

To integrate Claude API streaming responses in Python and TypeScript, use unified SDKs that provide real-time token delivery for interactive applications, automatically reading API keys from the environment for immediate use.

Tool use with the Anthropic Claude API works by defining custom functions that Claude can call during a conversation, handling the agent loops and function invocation without requiring manual HTTP calls from your application.

Yes, you can use Claude for batch processing and image analysis in Python applications, efficiently handling large volumes of requests for visual input analysis while reducing token costs through built-in caching mechanisms.

The best way to handle Claude API error handling and cost optimization is using built-in SDK interfaces that manage retries, rate-limit handling, and model selection guidance, removing the need for manual HTTP calls.

You need model selection and token budgeting for Claude text generation to optimize costs and manage rate limits effectively, ensuring the chosen model handles the required context window without exceeding budget constraints.