Open-source stack for industrial-grade LLM applications
Build industrial-grade LLM applications: one API for every LLM, observability, optimization (prompts, models, etc.), evaluations, and A/B testing — all open source. Turn metrics and human feedback into smarter, faster, and cheaper LLMs. Get started in minutes.
TensorZero offers observability features and structured logging to help teams debug agent failures, trace execution paths, and maintain reliability in production environments
TensorZero provides a framework to orchestrate different language models and external tools within a single agent architecture, reducing vendor lock-in and enabling flexible model selection
TensorZero supports structured data collection and feedback mechanisms that allow teams to capture agent outputs, user feedback, and performance metrics to iteratively improve agent behavior
TensorZero is an open-source framework that enables developers to create AI agents with built-in monitoring, logging, and control mechanisms, allowing teams to instrument and observe agent behavior in production