OpenLIT

Open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring

open-sourceobservability-evaluationmemory-knowledgeenterprise-agent-platforms
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Overview

OpenLIT 是一个开源的 AI 工程平台，专为生成式 AI 和大语言模型(LLM)开发而设计。该平台基于 OpenTelemetry 标准，提供原生的可观测性能力，支持 LLM、向量数据库和 GPU 的全栈监控。通过一行代码即可启用完整的监控功能，帮助开发者从测试环境平滑过渡到生产环境。平台集成了 50+ LLM 提供商，包含分析仪表板、提示词管理、API 密钥保管库、实验场地等功能。OpenLIT 遵循并维护 OpenTelemetry 社区的语义约定，提供厂商中立的 SDK（支持 Python、TypeScript、Go），内置 11 种评估类型，支持护栏、评估和规则引擎等高级功能，为 AI 应用的开发、监控和优化提供一站式解决方案。

Deep Analysis

Key Differentiator

Most comprehensive open-source AI engineering platform — combines observability, 11 evaluation types, rule engine, prompt hub, secret vault, playground, and fleet management in one tool

⚡ Capabilities

  • • OpenTelemetry-native LLM observability
  • • 11 built-in LLM-as-judge evaluation types
  • • Rule engine with AND/OR logic for trace matching
  • • Prompt management and versioning (Prompt Hub)
  • • API key and secrets management (Vault)
  • • LLM playground (OpenGround)
  • • Fleet management via OpAMP protocol
  • • GPU monitoring

🔗 Integrations

OpenAIAnthropicCohereMistralGroqLangChainLlamaIndexCrewAIHaystackChromaPineconeQdrantClickHouse

✓ Best For

  • ✓ Teams wanting all-in-one LLM platform (observability + eval + prompts + secrets)
  • ✓ Organizations needing self-hosted AI engineering platform
  • ✓ Multi-language teams (Python/TS/Go SDK support)

✗ Not Ideal For

  • ✗ Teams only needing simple logging
  • ✗ Projects without infrastructure for self-hosting ClickHouse

Languages

PythonTypeScriptGo

Deployment

Docker ComposeKubernetes (Helm)pip/npm install SDK

Pricing Detail

Free: Fully open-source, self-hosted
Paid: N/A

⚠ Known Limitations

  • ⚠ Self-hosted requires ClickHouse and OTel Collector
  • ⚠ Newer project — smaller community than alternatives
  • ⚠ Evaluation types focused on text (limited multimodal)
  • ⚠ Fleet management requires OpAMP setup

Pros

  • + OpenTelemetry 原生支持，厂商中立，可与现有可观测性工具无缝集成
  • + 一行代码集成，提供从 LLM 到 GPU 的全栈监控能力
  • + 功能丰富的一体化平台，包含监控、评估、提示词管理、实验场地等完整工具链

Cons

  • - 作为综合性平台，对于简单用例可能过于复杂
  • - 开源项目需要自行部署和维护基础设施

Use Cases

  • • LLM 应用的性能监控和成本跟踪
  • • 多 LLM 提供商的实验和对比测试
  • • AI 开发工作流的统一管理和版本控制

Getting Started

安装对应语言的 SDK（pip install openlit 或 npm install openlit），在代码中添加一行初始化代码启用监控，访问仪表板查看应用性能指标和分析数据

Alternatives

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See all 8 OpenLIT alternatives →

Works with OpenLIT

Tools that integrate with OpenLIT, often used together in the same stack.

L
LangChain
Reference implementations of several LangChain agents as Streamlit apps
L
LlamaIndex
LlamaIndex is the leading document agent and OCR platform
c
crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
H
Haystack
Open-source AI orchestration framework for modular RAG pipelines and agent workflows
C
Chroma
Data infrastructure for AI
Q
Qdrant
Vector similarity search engine and database written in Rust, with payload filtering and managed cloud service

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