TensorZero offers open-source infrastructure for production LLM applications, including a gateway, observability, optimization, and evaluations.
What it is
TensorZero is an open-source toolkit built for production-grade large language model applications. It provides developers with infrastructure to manage LLM gateways, handle observability, run evaluations, perform experiments, and optimize model performance.
Key features
- LLM gateway for routing and managing requests
- Observability tools to monitor application traffic and logs
- Optimization features for model fine-tuning and distillation
- Evaluation and experimentation frameworks
- Support for open-source and closed-source model providers
Who it's for
TensorZero is designed for software engineers and machine learning practitioners building and scaling language model applications in production.
Pricing
Check the official website for current pricing.
Use cases
- Monitor production LLM traffic and application logs
- Fine-tune smaller models using programmatically curated data
- Run evaluations and experiments on language model performance
- Route traffic through an LLM gateway
FAQ
Is TensorZero open source?
Yes, TensorZero provides open-source tools for production-grade LLM applications.
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