Tensorzero
TensorZero is an open-source LLMOps platform designed to create a single control plane for large language model applications. It unifies an LLM gateway, observability, evaluation, optimization, and experimentation in one self-hosted system. The gateway provides a unified API for many model providers, with features like caching, retries, fallbacks, and rate limiting. Inference requests and user feedback are logged, enabling fine-grained monitoring and analysis. The platform supports online experimentation through A/B testing and can dynamically route traffic based on configurable rules. It includes built-in evaluation metrics and allows teams to define custom evaluators. TensorZero also captures data for offline fine-tuning and reinforcement learning from human feedback, closing the loop between production usage and model improvement. TensorZero is designed for teams building production LLM applications that need reliability, observability, and continuous optimization without locking into a single vendor. It is open source and can be deployed in your own infrastructure.
- Category
- LLM
- Pricing
- Open Source
Problem solved
TensorZero solves the problem of fragmented LLM operations by providing a unified platform to manage inference, monitor quality, run experiments, and optimize models. It reduces manual plumbing and enables data-driven improvement of LLM applications.
Use cases
- Centralized LLM gateway for multiple providers
- Logging and monitoring of LLM requests and feedback
- A/B testing and online experimentation
- Automated evaluation and regression testing
- Dynamic model routing based on cost, latency, or quality
- Data collection for fine-tuning and RLHF
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- Open source and self-hosted
- Unified gateway with many providers
- Built-in observability and evaluation
- Supports experimentation and dynamic routing
- Active development community
Cons
- Requires self-hosting and operational overhead
- Configuration can be complex
- No official managed cloud offering
Official website: https://github.com/tensorzero/tensorzero
Canonical LambdaBase page: https://www.lambdabase.com/tools/tensorzero