TensorZero

Overview

TensorZero is an open-source framework designed to help developers build, ship, and improve production-grade LLM applications with confidence. Instead of stitching together an LLM gateway, logging, evaluation, and optimization tools, TensorZero unifies these capabilities in a single, coherent platform. You can connect to multiple LLM providers, define routing and fallback strategies, and manage model configuration as code. With built-in observability, TensorZero automatically captures requests, responses, latency, and errors across your LLM stack, giving you full visibility into real-world behavior. Its evaluation and experimentation workflows make it straightforward to compare prompts, models, and configurations using offline test sets and live traffic. You can track quality, safety, and business metrics over time, then promote the best-performing variants into production. TensorZero is built for modern engineering teams: it integrates with CI/CD pipelines, supports versioned experiments, and offers APIs and SDKs that fit naturally into existing services and microservice architectures. Whether you are building chatbots, copilots, RAG systems, or internal automation tools, TensorZero provides the infrastructure to move from prototypes to reliable, maintainable, and continuously improving LLM applications.