- Gateway: access every LLM provider through a unified API, built for performance (<1ms p99 latency)
- Observability: store inferences and feedback in your database, available programmatically or in the UI
- Optimization: collect metrics and human feedback to optimize prompts, models, and inference strategies
- Evaluations: benchmark individual inferences or end-to-end workflows using heuristics, LLM judges, etc.
- Experimentation: ship with confidence with built-in A/B testing, routing, fallbacks, retries, etc.
Start building today.
The Quickstart shows it’s easy to set up an LLM application with TensorZero.
If you want to dive deeper, the Tutorial teaches how to build a simple chatbot, an email copilot, a weather RAG system, and a structured data extraction pipeline.Questions?
Ask us on Slack or Discord.Using TensorZero at work?
Email us at [email protected] to set up a Slack or Teams channel with your team (free).