Start integrating and monitoring your applications with OpenLIT in just one line of code. Choose from a range of Integrations to start tracking LLM performance, usage, costs and much more.

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LLMs

OpenAI

OpenAI

GPT4All

Ollama

DeepSeek

Cohere

Anthropic

vLLM

GitHub Models

Azure OpenAI

Azure AI Inference

Mistral AI

Mistral

HuggingFace

Icon-Architecture/16/Arch_Amazon-Bedrock_16

Amazon Bedrock

Vertex AI

Google AI Studio

Groq

NVIDIA NIM

xAI

ElevenLabs

AI21

Together.ai

Assembly AI

Featherless

Reka AI

OLA Krutrim

Titan ML

Sarvam AI

Prem AI

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VectorDBs

Chroma

ChromaDB

Pinecone

Pinecone

qdrant

Qdrant

Milvus

AstraDB

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Frameworks

LangChain

OpenAI

OpenAI Agents

LiteLLM

CrewAI

LlamaIndex

Browser Use

Pydantic AI

DSPy

AutoGen / AG2

Haystack

mem0

Guardrails AI

Phidata

MultiOn

Julep AI

Letta

Crawl4AI

FireCrawl

Dynamiq

ControlFlow

SwarmZero

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GPUs

NVIDIA

AMD Radeon

Quickstart: LLM Observability

Production-ready AI monitoring setup in 2 simple steps with zero code changes

Deploy OpenLIT Platform

Deployment options for scalable LLM monitoring infrastructure

Destinations

Send telemetry to Datadog, Grafana, New Relic, and other observability stacks
Kubernetes

Running in Kubernetes? Try the OpenLIT Operator

Automatically inject instrumentation into existing workloads without modifying pod specs, container images, or application code.