One API Key Can Route LLM Requests Across OpenAI, Claude, and Gemini

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A multi-provider LLM gateway allows developers to run text classification workloads across OpenAI, Claude, and Gemini models using a single API key and a unified OpenAI-compatible interface. The approach relies on a stable JSON contract, ensuring downstream systems always receive consistent output fields regardless of which provider handles a given request. Platforms like Infrai expose per-call metadata including cost, latency, and vendor details, helping operators monitor spending and investigate unexpected bills. The author highlights a costly lesson where a prompt revision and flawed retry logic turned a $180 estimated backfill job into a $1,146 expense, underscoring the need for token counting, prompt versioning, and idempotent result storage. The gateway pattern is recommended for high-volume, provider-agnostic tagging pipelines, but not as a replacement for dedicated moderation endpoints or provider-specific controls.

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