# Helicone
URL: /docs/runtimes/helicone

Configure Helicone proxy for OpenAI API logging and monitoring.

Helicone acts as a proxy for your OpenAI API calls, enabling detailed logging and monitoring. To integrate, update your API base URL and add the Helicone-Auth header.

AI SDK by vercel \[#ai-sdk-by-vercel]

1. **Set Environment Variables:**

   * `HELICONE_API_KEY`
   * `OPENAI_API_KEY`

2. **Configure the OpenAI client:**

```ts
import { createOpenAI } from "@ai-sdk/openai";
import { streamText } from "ai";

const openai = createOpenAI({
  baseURL: "https://oai.helicone.ai/v1",
  headers: {
    "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`,
  },
});

export async function POST(req: Request) {
  const { prompt } = await req.json();
  return streamText({
    model: openai("gpt-4o"),
    prompt,
  });
}
```

LangChain Integration (Python) \[#langchain-integration-python]

1. **Set Environment Variables:**

   * `HELICONE_API_KEY`
   * `OPENAI_API_KEY`

2. **Configure ChatOpenAI:**

```python
from langchain.chat_models import ChatOpenAI
import os

llm = ChatOpenAI(
    model_name="gpt-3.5-turbo",
    temperature=0,
    openai_api_base="https://oai.helicone.ai/v1",
    openai_api_key=os.environ["OPENAI_API_KEY"],
    openai_api_headers={"Helicone-Auth": f"Bearer {os.environ['HELICONE_API_KEY']}"}
)
```

Summary \[#summary]

Update your API base URL to `https://oai.helicone.ai/v1` and add the `Helicone-Auth` header with your API key either in your Vercel AI SDK or LangChain configuration.
