> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/openlit/openlit/llms.txt
> Use this file to discover all available pages before exploring further.

# Integrations overview

> Auto-instrument 60+ LLM providers, AI frameworks, and vector databases with a single openlit.init() call

OpenLIT uses OpenTelemetry auto-instrumentation to monitor your AI stack. When you call `openlit.init()`, the SDK automatically detects which supported libraries are installed in your environment and instruments them — no manual configuration required per library.

```python theme={null}
import openlit

# Instruments every supported library found in your environment
openlit.init()
```

```typescript theme={null}
import Openlit from 'openlit';

// Instruments every supported library found in your environment
Openlit.init();
```

<Note>
  Auto-instrumentation is non-invasive. OpenLIT patches library internals at startup using the OpenTelemetry instrumentation API. Your application code does not need to change.
</Note>

## Supported integrations

<CardGroup cols={3}>
  <Card title="LLM providers" href="/sdk/integrations/llm-providers" icon="microchip-ai">
    OpenAI, Anthropic, Cohere, Mistral, Groq, AWS Bedrock, Vertex AI, and 20+ more providers
  </Card>

  <Card title="AI frameworks" href="/sdk/integrations/ai-frameworks" icon="sitemap">
    LangChain, LlamaIndex, CrewAI, OpenAI Agents, Pydantic AI, AG2, Haystack, and more
  </Card>

  <Card title="Vector databases" href="/sdk/integrations/vector-databases" icon="database">
    ChromaDB, Pinecone, Qdrant, Milvus, Astra DB, and PostgreSQL
  </Card>
</CardGroup>

## LLM providers

| Provider                 | Python | TypeScript |
| ------------------------ | ------ | ---------- |
| OpenAI                   | ✅      | ✅          |
| Anthropic                | ✅      | ✅          |
| Cohere                   | ✅      | —          |
| Mistral                  | ✅      | —          |
| Groq                     | ✅      | —          |
| AWS Bedrock              | ✅      | —          |
| Vertex AI                | ✅      | —          |
| Google AI Studio         | ✅      | —          |
| Azure OpenAI             | ✅      | ✅          |
| Ollama                   | ✅      | ✅          |
| vLLM                     | ✅      | —          |
| HuggingFace Transformers | ✅      | —          |
| DeepSeek                 | ✅      | —          |
| AI21                     | ✅      | —          |
| Reka                     | ✅      | —          |
| LiteLLM                  | ✅      | —          |
| GPT4All                  | ✅      | —          |
| Together AI              | ✅      | ✅          |
| NVIDIA NIM               | ✅      | —          |
| xAI                      | ✅      | —          |
| Sarvam                   | ✅      | —          |
| PremAI                   | ✅      | —          |
| Featherless              | ✅      | —          |
| Krutrim                  | ✅      | —          |
| TitanML                  | ✅      | —          |
| Julep                    | ✅      | —          |
| MultiOn                  | ✅      | —          |
| ElevenLabs               | ✅      | —          |
| AssemblyAI               | ✅      | —          |

## AI frameworks

| Framework         | Python | TypeScript |
| ----------------- | ------ | ---------- |
| LangChain         | ✅      | ✅          |
| LlamaIndex        | ✅      | ✅          |
| CrewAI            | ✅      | —          |
| OpenAI Agents SDK | ✅      | —          |
| Pydantic AI       | ✅      | —          |
| AG2 / AutoGen     | ✅      | —          |
| Haystack          | ✅      | —          |
| Mem0              | ✅      | —          |
| Browser Use       | ✅      | —          |
| Letta             | ✅      | —          |
| Crawl4AI          | ✅      | —          |
| Firecrawl         | ✅      | —          |
| Dynamiq           | ✅      | —          |
| ControlFlow       | ✅      | —          |
| SwarmZero         | ✅      | —          |
| DSPy              | ✅      | —          |
| Agno (Phidata)    | ✅      | —          |
| GuardrailsAI      | ✅      | —          |

## Vector databases

| Database              | Python | TypeScript |
| --------------------- | ------ | ---------- |
| ChromaDB              | ✅      | ✅          |
| Pinecone              | ✅      | ✅          |
| Qdrant                | ✅      | ✅          |
| Milvus                | ✅      | —          |
| Astra DB              | ✅      | —          |
| PostgreSQL (psycopg3) | ✅      | —          |

## Disabling specific instrumentors

To skip instrumentation for one or more libraries, pass their names to the `disabled_instrumentors` parameter. Use the instrumentor key names shown in the table below.

```python theme={null}
import openlit

openlit.init(
    disabled_instrumentors=["cohere", "pinecone"]
)
```

```typescript theme={null}
import Openlit from 'openlit';

Openlit.init({
    disabledInstrumentations: ["cohere", "pinecone"]
});
```

You can also set this via the environment variable:

```shell theme={null}
export OPENLIT_DISABLED_INSTRUMENTORS="cohere,pinecone"
```

<Tip>
  Use `disabled_instrumentors` when you need fine-grained control — for example, to avoid double-instrumentation if you already use an upstream OpenTelemetry instrumentor for the same library.
</Tip>

***

<CardGroup cols={3}>
  <Card title="GPU integrations" href="/sdk/integrations/gpu" icon="microchip">
    Monitor NVIDIA and AMD GPU utilization, memory, temperature, and power
  </Card>

  <Card title="Configuration" href="/sdk/configuration" icon="sliders">
    Full reference for all openlit.init() parameters
  </Card>

  <Card title="Destinations" href="/sdk/destinations/overview" icon="link">
    Send telemetry to Datadog, Grafana, New Relic, and other observability stacks
  </Card>
</CardGroup>