TensorZero

TensorZero is an open-source LLM gateway and toolkit for building production-grade AI applications.

TensorZero builds open-source tools for production-grade LLM applications. The platform provides an LLM gateway along with features for observability, optimization, evaluations, and experimentation. It is designed for developers building production systems with large language models. The software is available on GitHub.

TensorZero at a glance

Best for: Software engineer
Runs on: open source
Pricing: Free
Released: February 2024
Category: AI coding tool
Website: tensorzero.com

Key features

LLM gateway
Observability
Optimization
Evaluations
Experimentation

Use it for

Manage production LLM traffic
Monitor LLM application performance
Optimize large language model usage

Alternatives to TensorZero

llm-d — Deploys production-grade LLM serving on existing hardware clusters.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.
LightLLM — It delivers high-speed inference and serving performance for large language models.
AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
MLC LLM — Enables native optimization and deployment of AI models across platforms.
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
Mesh LLM — Run large local models across multiple machines through one OpenAI-compatible endpoint.
vLLM — Maximizes throughput with PagedAttention and continuous batching.
TensorRT — Speeds up inference by 36X compared to CPU-only platforms.
OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
WebLLM — Runs high-performance language models directly inside web browsers.
GoRoute — Consumes 5.1MB of RAM with sub-10ms latency for coding agents.

All TensorZero alternatives