The migration from GPT-4 to Claude 3.5 Sonnet (or Opus) is becoming a common architectural shift for engineering teams seeking better code generation performance and reduced "laziness." However, treating Claude as a drop-in replacement for OpenAI is a recipe for runtime errors. While the conceptual logic of Large Language Models (LLMs) remains similar, the SDK implementations diverge significantly. Anthropic’s API enforces stricter validation on prompt structure and token limits compared to OpenAI’s more permissive implementation. This guide provides a rigorous technical breakdown of the differences between the openai and anthropic Python SDKs, specifically focusing on the Chat Completions (Messages) API. We will analyze the root causes of incompatibility and implement a unified adapter pattern. The Core Architecture Divergence The primary friction point isn't just parameter naming—it is the topology of the message payload . OpenAI's Chat Completions...
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