py-ai

Design and implement Python AI applications with provider-neutral LLM clients, local models, structured outputs, RAG, embeddings, reranking, tool calling, agents, streaming, evaluation, observability, and GPU inference. Use when building or reviewing model-powered workflows that require security boundaries, prompt-injection defenses, cost controls, fallback…

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