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

# SDKs & Integrations

> Using Krixai with LangChain, LlamaIndex, and FastAPI

Because Krixai acts as a reverse proxy, it works natively with almost any LLM framework by simply changing the `base_url`.

### LangChain Integration

```python theme={null}
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="gpt-4o",
    api_key="sk-...",
    base_url="https://api.krixaisecurity.com/v1",
    default_headers={"X-Krixai-Key": "kx-live-..."}
)

# All LangChain chains now route through Krixai automatically
response = llm.invoke("Summarize this legal document...")
```

### LlamaIndex Integration

```python theme={null}
from llama_index.llms.openai import OpenAI

llm = OpenAI(
    model="gpt-4o",
    api_key="sk-...",
    api_base="https://api.krixaisecurity.com/v1",
    default_headers={"X-Krixai-Key": "kx-live-..."}
)
```

### FastAPI Middleware

If you prefer to run Krixai as middleware on your own server rather than proxying outbound requests:

```python theme={null}
from krixai import KrixaiMiddleware
from fastapi import FastAPI

app = FastAPI()
app.add_middleware(KrixaiMiddleware, api_key="kx-live-...")

# All requests to your AI endpoints are now automatically scanned
```