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 tutorial: generate embeddings with OpenAI, store them in ChromaDB, build semantic search with metadata filtering, and index a PDF for Q&A — all in Python.
Build a production-ready AI Telegram bot with python-telegram-bot and Claude. Commands, inline keyboards, conversation history, error handling, and systemd deployment.
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.
Learn Pinecone from scratch: create indexes, upsert embeddings, query vectors, and build a semantic search + RAG app with Python and Sentence Transformers.
Step-by-step Claude API tutorial: authentication, text generation, streaming, vision, tool use — build your first AI app with the Anthropic Python SDK.
Compare LangChain and LlamaIndex side by side: key differences, code examples, and a practical guide to choosing the right Python AI framework for your project.