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TensorZero

Open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, and experimentation to optimize prompts and models with real production traffic.

★ 11,717 GitHub Apache-2.0 llmopsgatewayobservabilityevaluationoptimizationllm LLM & Chat

Overview

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation in a single system. It provides one endpoint for all major LLM providers, records every request and response pair, and lets you optimize prompts, model choices, and inference parameters based on real production traffic without custom glue code. TensorZero supports fine-tuning for supervised learning and reinforcement learning, A/B testing, and gradual rollout of new prompts and models. Built in Rust for high performance, it is licensed under Apache-2.0.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  tensorzero:
    image: tensorzero/gateway:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/tensorzero:/data

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