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

# LiteLLM

## 1. Installation

Install the traceAI and litellm packages.

```bash theme={null}
pip install traceAI-litellm
pip install litellm
```

***

## 2. Set Environment Variables

Set up your environment variables to authenticate with both FutureAGI and OpenAI.

```python theme={null}
import os

os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"
os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
```

***

## 3. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .

```python theme={null}
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="openai_project",
)
```

***

## 4. Configure LiteLLM Instrumentation

Initialize the LiteLLM instrumentor to enable automatic tracing.

```python theme={null}
from traceai_litellm import LiteLLMInstrumentor

LiteLLMInstrumentor().instrument(tracer_provider=trace_provider)
```

***

## 5. Run LiteLLM

Run LiteLLM as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform.

```python theme={null}
import litellm

response = litellm.completion(
        model="gpt-3.5-turbo",
        messages=[{"content": "What's the capital of India?"}],
)

print(response.choices[0].message.content)
```