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

# Incorrect Cost Calculation While Streaming?

> Learn how to accurately calculate costs when using streaming features.

To accurately calculate costs when using streaming features, you can either include a `include_usage` key in the body of your request or use the Helicone header.

### Method 1: Request Body

<CodeGroup>
  ```python Python theme={null}
  client.chat.completions.create(
      model="gpt-4o",
      max_tokens=100,
      messages=[
          {"role": "system", "content": "You are a great storyteller."},
          {"role": "user", "content": "Once upon a time in a galaxy far, far away..."}
      ],
      stream=True,
      stream_options={
          "include_usage": True # set to true
      }
  )
  ```

  ```ts Typescript theme={null}
  openai.chat.completions.create({
    messages: [
      {
        role: "user",
        content: "Generate an abstract for a course on space.",
      },
    ],
    model: "gpt-4",
    stream = true,
    stream_options: {
      include_usage: true, // set to true
    },
  });
  ```
</CodeGroup>

### Method 2: Helicone Header

You can also enable stream usage by adding the `helicone-stream-usage` header to your request:

<CodeGroup>
  ```python Python theme={null}
  client = OpenAI(
      # ...
      headers={
          "helicone-stream-usage": "true"
      }
  )

  client.chat.completions.create(
      model="gpt-4",
      messages=[{"role": "user", "content": "Hello!"}],
      stream=True
  )
  ```

  ```ts TypeScript theme={null}
  const openai = new OpenAI({
    // ...
    headers: {
      "helicone-stream-usage": "true",
    },
  });

  openai.chat.completions.create({
    messages: [{ role: "user", content: "Hello!" }],
    model: "gpt-4",
    stream: true,
  });
  ```
</CodeGroup>