AI-Driven Developer
Complete guide to streaming with the Claude API in Python: text_stream, the raw event protocol, async streaming, error handling, and a FastAPI endpoint that streams to the browser via SSE.
How Claude’s prompt caching works: cache breakpoints, pricing for cache writes vs reads, the 1-hour extended TTL, and real cost-savings examples for RAG apps and agents.
Master Claude’s tool use API: define tools with JSON Schema, handle multi-step and parallel tool calls, force tool choice, stream tool inputs, and build a complete multi-tool agent.
Hands-on comparison of Claude vs GPT-4 APIs: models, pricing, context windows, prompt caching, tool use, and code generation quality. Which AI API should you choose for your application?
Complete guide to LLM application development: prompts, context management, RAG, tool use, streaming, prompt caching, structured output, and production best practices with Python and Claude API.
Step-by-step Claude API tutorial: authentication, text generation, streaming, vision, tool use — build your first AI app with the Anthropic Python SDK.
Build a RAG chatbot from scratch using Python, ChromaDB, and Claude. Load documents, create a vector index, retrieve relevant chunks, and generate grounded answers.
Step-by-step guide to getting an Anthropic API key: account setup, key creation, secure storage, rate limits, and pricing overview.
Complete guide to @anthropic-ai/sdk for Node.js and TypeScript: messages.create, streaming responses, prompt caching with cache_control (ephemeral), multi-turn conversations, and error handling. Working code examples for every step.