Integrations Overview - What is Netra? | Technical documentation

Netra provides seamless integrations with popular LLM providers, AI frameworks, vector databases, and speech services. With just a few lines of code, you can enable automatic tracing and observability for your AI applications.

Missing an integration? We’d love to hear from you! Open a GitHub issue to request a new integration.

Integration Types

Netra integrations fall into several categories:

LLM Providers

Direct integrations with model providers like OpenAI, Anthropic Claude, Google Gemini, and more.

AI Frameworks

Trace applications built with LangChain, LlamaIndex, CrewAI, and other orchestration frameworks.

Vector Databases

Monitor vector search operations with Pinecone, Chroma, Qdrant, Weaviate, and others.

Speech Services

Track speech-to-text and text-to-speech operations with Deepgram, ElevenLabs, and Cartesia.

LLM Providers

Capture traces from direct LLM API calls including prompts, completions, token usage, and costs.

Popular Providers

OpenAI

GPT-4, GPT-3.5, Embeddings, DALL-E

Anthropic Claude

Claude 3 Opus, Sonnet, Haiku

Google Gemini

Gemini Pro, Gemini Ultra

AWS Bedrock

Claude, Titan, Llama on AWS

Mistral AI

Mistral Large, Medium, Small

Groq

Ultra-fast LLM inference

All LLM Providers

Provider	Description	Link
OpenAI	GPT-4, GPT-3.5 Turbo, Embeddings, DALL-E	View Docs
Anthropic Claude	Claude 3 Opus, Sonnet, Haiku	View Docs
Google Gemini	Gemini Pro, Gemini Ultra, Embeddings	View Docs
AWS Bedrock	Claude, Titan, Llama 2 via AWS	View Docs
Google Vertex AI	PaLM, Gemini on Google Cloud	View Docs
Mistral AI	Mistral Large, Medium, Small, Embeddings	View Docs
Groq	Ultra-fast inference for Llama, Mixtral	View Docs
Cohere	Command, Embed, Rerank models	View Docs
Ollama	Local LLM deployment	View Docs
Together AI	Open-source model hosting	View Docs
Replicate	Run ML models in the cloud	View Docs
Hugging Face	Transformers library	View Docs
Aleph Alpha	Luminous models	View Docs
IBM watsonx	Enterprise AI platform	View Docs

AI Frameworks

Trace complex AI applications with full visibility into agent workflows, chains, and tool calls.

Popular Frameworks

LangChain

Build LLM-powered applications

LangGraph

Stateful, multi-actor agents

LlamaIndex

Data framework for LLM apps

CrewAI

Multi-agent orchestration

Pydantic AI

Type-safe AI development

LiteLLM

Unified LLM API gateway

All AI Frameworks

Framework	Description	Link
LangChain	Popular framework for LLM application development	View Docs
LangGraph	Build stateful, multi-actor AI agents	View Docs
LlamaIndex	Data framework for connecting LLMs to data	View Docs
CrewAI	Framework for orchestrating AI agents	View Docs
Pydantic AI	Type-safe AI application development	View Docs
LiteLLM	Unified API for 100+ LLM providers	View Docs
Haystack	End-to-end NLP framework	View Docs
DSPy	Programming with foundation models	View Docs
Google ADK	Agent Development Kit	View Docs
Cerebras	High-performance AI inference	View Docs
Groq	Low-latency LLM inference	View Docs
MCP	Model Context Protocol	View Docs

Vector Databases

Monitor vector search operations, embeddings, and retrieval performance.

Pinecone

Managed vector DB

ChromaDB

Open-source embedding DB

Qdrant

Vector similarity search

Weaviate

AI-native vector DB

Milvus

Cloud-native vector DB

LanceDB

Serverless vector DB

Redis

Vector search with Redis

Marqo

End-to-end vector search

Speech Services

Track speech-to-text and text-to-speech operations for voice AI applications.

Deepgram

Speech recognition & understanding

ElevenLabs

AI voice generation

Cartesia

Real-time voice AI

Quick Start

Enable auto-instrumentation for any supported integration:

from netra import Netra
from netra.instrumentation.instruments import InstrumentSet

Netra.init(
    app_name="my-ai-app",
    headers=f"x-api-key={os.getenv('NETRA_API_KEY')}",
    instruments={
        InstrumentSet.OPENAI,
        InstrumentSet.LANGCHAIN,
        InstrumentSet.PINECONE,
    },
)

# Your LLM calls are now automatically traced

If you don’t specify instruments, Netra will auto-detect and instrument all supported libraries in your environment.

Next Steps

Auto-Instrumentation - Learn how automatic tracing works
Manual Tracing - Add custom spans to your traces
Python SDK - Complete SDK reference

​Integration Types

LLM Providers

AI Frameworks

Vector Databases

Speech Services

​LLM Providers

​Popular Providers

OpenAI

Anthropic Claude

Google Gemini

AWS Bedrock

Mistral AI

Groq

​All LLM Providers

​AI Frameworks

​Popular Frameworks

LangChain

LangGraph

LlamaIndex

CrewAI

Pydantic AI

LiteLLM

​All AI Frameworks

​Vector Databases

Pinecone

ChromaDB

Qdrant

Weaviate

Milvus

LanceDB

Redis

Marqo

​Speech Services

Deepgram

ElevenLabs

Cartesia

​Quick Start

​Next Steps

Integration Types

LLM Providers

Popular Providers

All LLM Providers

AI Frameworks

Popular Frameworks

All AI Frameworks

Vector Databases

Speech Services

Quick Start

Next Steps