How to Build Reliable AI Features in Production Using OpenRouter

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A software developer has shared practical lessons from running OpenRouter—an AI gateway service—in production environments. OpenRouter standardizes API responses across multiple LLM providers like OpenAI, Anthropic, and Google, simplifying error handling into a single unified interface. The author emphasizes that robust observability is critical, recommending developers log details such as model used, request duration, token count, HTTP status, and user context for every AI call. Assigning unique request or correlation IDs to each call was highlighted as essential for tracing failures quickly when users report issues. The piece also cautions that streaming responses vary across providers, urging developers to build resilient frontend parsers that handle incomplete or unexpected data chunks.

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