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Integration Types
Netra integrations fall into several categories:LLM Providers
Direct integrations with model providers like OpenAI, Anthropic Claude, Google Gemini, and more.
LLM Frameworks
Trace applications built with LangChain, LlamaIndex, CrewAI, and other orchestration frameworks.
Voice Providers
Track speech-to-text and text-to-speech operations with OpenAI, Gemini, Deepgram, ElevenLabs, and Cartesia.
Voice Frameworks
Evaluate and simulate voice agents with LiveKit and Vapi.
Vector Databases
Monitor vector search operations with Pinecone, Chroma, Qdrant, Weaviate, and others.
Additional Support
Unified LLM gateways and protocol integrations including LiteLLM and MCP.
LLM Providers
Capture traces from direct LLM API calls including prompts, completions, token usage, and costs.Popular Providers
OpenAI

Anthropic Claude

Google Gemini

AWS Bedrock

Mistral AI

Groq

All LLM Providers
LLM Frameworks
Trace complex AI applications with full visibility into agent workflows, chains, and tool calls.Popular Frameworks
LangChain

LangGraph

LlamaIndex

CrewAI

Pydantic AI

Agno

All LLM Frameworks
Voice Providers
Track speech-to-text and text-to-speech operations for voice AI applications.OpenAI Audio

Google Gemini Audio

Deepgram

ElevenLabs

Cartesia

All Voice Providers
Voice Frameworks
Evaluate and simulate voice agents through automated call testing and telemetry ingestion.LiveKit

Vapi

Vector Databases
Monitor vector search operations, embeddings, and retrieval performance.Pinecone

ChromaDB

Qdrant

Weaviate

Milvus

LanceDB

Redis

Marqo

Additional Support
Unified API gateways and protocol integrations that extend Netra’s observability capabilities.LiteLLM

MCP

Quick Start
Enable auto-instrumentation for any supported integration:Next Steps
- Auto-Instrumentation - Learn how automatic tracing works
- Manual Tracing - Add custom spans to your traces
- Python SDK - Complete SDK reference
