Build a zero-dep LLM toolkit in Python — unified client for OpenAI, Claude, Gemini, Ollama with cost tracking, retry, streaming, and structured output.
Learn LLM structured output in Python with 3 methods: OpenAI JSON schema, Claude tool extraction, and Instructor. Build a type-safe invoice parser with Pydantic.
Build a multimodal document analyzer with the Google Gemini API in Python. Analyze images, PDFs, and text with structured JSON output — using raw...
Build LangGraph agents that return validated, typed data using Pydantic models — with automatic retry loops that self-correct on validation failures.
Apply prompt engineering fundamentals — zero-shot, few-shot, chain-of-thought, and structured output — to get consistent, reliable results from any LLM.
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