TensorZero: An Open-Source LLMOps Platform Unifying Gateway, Observability, Evaluation, Optimization, and Experimentation
By
hek2sch
Hot, fresh, and worth queueing round the block for.
Summary
TensorZero is an open-source LLMOps platform that unifies five key capabilities for working with large language models: a high-performance gateway (<1ms p99 latency) providing unified API access to multiple LLM providers, observability with database-stored inferences and feedback, evaluation through heuristics and LLM judges, optimization using metrics and human feedback to improve prompts and models, and experimentation via A/B testing, routing, fallbacks, and retries. The platform is designed to be modular, allowing users to adopt only the components they need.
Key quotes
· 6 pulledTensorZero is an open-source LLMOps platform that unifies: Gateway, Observability, Evaluation, Optimization, and Experimentation.
Gateway: 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
Evaluation: 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
Experimentation: ship with confidence with built-in A/B testing, routing, fallbacks, retries, etc.
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