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tensorzero/tensorzero

An open-source LLMOps platform unifying LLM gateway, observability, evaluation, optimization, and experimentation for robust AI application development.

Core Features

Unified LLM Gateway for multiple providers with high performance and advanced features like tool use, structured outputs, caching, and high availability.

Comprehensive Observability to store inferences and feedback, track usage, and monitor costs programmatically or via UI.

Advanced Evaluation and Optimization capabilities for benchmarking, prompt/model optimization, and human feedback collection.

Built-in Experimentation features including A/B testing, routing, fallbacks, and retries for confident deployment.

TensorZero Autopilot, an automated AI engineer that analyzes data, sets up evals, optimizes prompts/models, and runs A/B tests to improve LLM agent performance.

Detailed Introduction

TensorZero is an open-source LLMOps platform designed to streamline the development and deployment of large language model (LLM) applications. It provides a unified suite of tools covering the entire LLM lifecycle, from accessing various LLM providers through a high-performance gateway to robust observability, evaluation, optimization, and experimentation capabilities. By integrating these critical functions, TensorZero empowers developers to build, monitor, and improve LLM-powered applications with confidence, ensuring high availability, performance, and cost efficiency. Its modular design allows incremental adoption and seamless integration with existing tools.