GoKawiilTensorZero
TensorZero is an open-source LLMOps platform that unifies:
Gateway: access every LLM provider through a unified API, built for performance (<1ms p99 latency)
access every LLM provider through a unified API, built for performance (<1ms p99 latency) Observability: store inferences and feedback in your database, available programmatically or in the UI
store inferences and feedback in your database, available programmatically or in the UI Evaluation: benchmark individual inferences or end-to-end workflows using heuristics, LLM judges, etc.
benchmark individual inferences or end-to-end workflows using heuristics, LLM judges, etc. Optimization: collect metrics and human feedback to optimize prompts, models, and inference strategies
collect metrics and human feedback to optimize prompts, models, and inference strategies Experimentation: ship with confidence with built-in A/B testing, routing, fallbacks, retries, etc.
You can take what you need, adopt incrementally, and complement with other tools. It plays nicely with the OpenAI SDK, OpenTelemetry, and every major LLM provider.
TensorZero is used by companies ranging from frontier AI startups to the Fortune 10 and fuels ~1% of global LLM API spend today.
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