TensorZero
An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.
What is TensorZero?
TensorZero is an open-source LLMOps platform that unifies gateway, observability, evaluation, optimization, and experimentation for LLM applications. It solves the problem of fragmented tooling by providing a single stack to manage the entire LLM lifecycle, from development to production optimization. The platform is built for performance, with a Rust-based gateway offering sub-millisecond latency overhead.
AI engineers, ML teams, and companies building production LLM applications that require reliability, observability, and continuous improvement. It suits both startups and large enterprises handling significant LLM API spend.
Developers choose TensorZero for its unified approach to LLMOps, eliminating the need to stitch together multiple tools. Its performance-optimized gateway, extensible architecture, and focus on production-grade features like A/B testing and fine-tuning workflows provide a comprehensive solution for industrial LLM applications.
Overview
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
Use Cases
Best For
- Unifying access to multiple LLM providers through a single high-performance API
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