TensorZero

TensorZero is an 11.2K open-source LLMOps platform that automates the optimization of language model applications. At its core is TensorZero Autopilot—an AI engineer that analyzes observability data, sets up evaluations, optimizes prompts and models, and runs A/B tests automatically. Unified Gateway: Access all LLM providers through a single API with <1ms p99 latency Observability: Monitor LLM systems via programmatic interfaces or UI dashboards Evaluation Framework: Benchmark individual inferences and end-to-end workflows Optimization Engine: Automatically improve prompts, models, and inference strategies Built-in Experimentation: Deploy with A/B testing, fallbacks, and performance validation TensorZero serves companies from AI startups to Fortune 10 enterprises, currently fueling approximately 1% of global LLM API spend. The platform is designed for teams building production LLM applications who need systematic ways to measure, optimize, and improve performance at scale. The platform integrates seamlessly with OpenAI SDK, OpenTelemetry, and major LLM providers. Users can adopt components incrementally and set up production-ready applications with observability and fine-tuning in minutes. Built by: AI researchers and engineers from CMU, Stanford, Oxford, Google, and JP Morgan, backed by FirstMark, Bessemer, and Bedrock Capital.