TensorZero

TensorZero

TensorZero is an open-source platform designed to streamline the development of industrial-grade large language model (LLM) applications. It provides a unified stack encompassing LLM integration, observability, optimization, evaluation, and experimentation, enabling developers to build smarter, faster, and more cost-efficient AI systems.

The platform features a high-performance gateway that connects to all major LLM providers through a single API, supporting advanced functionalities like streaming, structured generation, multimodal inputs, and high-throughput operations with sub-millisecond latency. TensorZero’s observability tools allow users to store and analyze production data, monitor metrics, and debug applications via a user-friendly UI or programmatically, with support for OpenTelemetry integration.

Optimization capabilities include supervised fine-tuning, reinforcement learning from human feedback (RLHF), and dynamic prompt engineering to enhance model and inference performance. TensorZero’s evaluation framework facilitates benchmarking of models and workflows, leveraging both heuristic and LLM-based judges to ensure alignment with human preferences. Built-in experimentation tools enable robust A/B testing, adaptive routing, and retries, helping teams deploy changes with confidence.

TensorZero is designed to be incrementally adoptable, highly customizable, and compatible with all major programming languages. It supports self-hosting for full control and security, and integrates seamlessly with existing tools and workflows. With its focus on production-grade reliability and open-source accessibility, TensorZero empowers organizations to create and refine advanced LLM applications efficiently.