All 171 Dependencies
Every package TensorZero depends on, ranked by repo health score.
TensorZero is an open-source LLMOps platform that collapses the usual sprawl of separate gateway, observability, evaluation, and optimization tools into a single self-hosted stack. At its center is a Rust-based gateway that speaks the OpenAI API format and routes to every major model provider — Anthropic, AWS Bedrock, Azure, Google, Groq, Mistral, Together AI, vLLM, and more — while adding retries, fallbacks, load balancing, caching, and tool use on top.
Every inference and piece of feedback the gateway sees is stored in your own database, powering the open-source TensorZero UI for debugging individual calls, monitoring aggregate metrics, and replaying historical inferences with new prompts or models. That same data feeds the platform's evaluation and optimization layers: heuristic and LLM-judge evaluations for both single inferences and multi-step workflows, and optimization techniques like supervised fine-tuning, dynamic in-context learning, and automated prompt engineering (GEPA).
A built-in experimentation layer adds adaptive A/B testing and principled routing across prompts, models, and inference strategies, so teams can turn production feedback into a genuine data flywheel rather than manually tuning prompts by hand. The project is used in production from early-stage AI startups up to Fortune 10 companies, and its authors report it handles roughly 1% of global LLM API spend today.