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

# Workflow example

## Complete Workflow Example

Here's how to use the compressed context in your AI workflow:

<Tabs>
  <Tab title="Python" icon="python">
    ```python theme={null}
    # Step 1: Compress your context with ScaleDown
    compressed_response = requests.post(
        "[https://api.scaledown.xyz/compress/raw/](https://api.scaledown.xyz/compress/raw/)",
        headers=headers,
        json={
            "context": "Long context about your topic...",
            "prompt": "What specific question you want answered",
            "model": "gpt-4o",
            "scaledown": {"rate": "auto"}
        }
    )

    compressed_context = compressed_response.json()["compressed_prompt"]

    # Step 2: Use compressed context with your AI provider
    your_actual_question = "What specific question you want answered"

    final_prompt = f"""
    System: You are a helpful assistant that answers questions using the provided context
    Context: {compressed_context}
    User: {your_actual_question}
    """

    # Step 3: Send to your AI provider (OpenAI, etc.)
    import openai
    ai_response = openai.ChatCompletion.create(
        model="gpt-4o",
        messages=[{"role": "user", "content": final_prompt}]
    )
    ```
  </Tab>
</Tabs>

***

## Advanced Configuration Options

Once you're comfortable with basic compression, you can fine-tune your requests:

### Real Example

<Tabs>
  <Tab title="Python" icon="python">
    ```python theme={null}
    # Example: Compress context about Messi
    payload = {
        "context": "Lionel Messi is an Argentine professional footballer who plays as a forward...",
        "prompt": "How many Ballon d'Or awards does Messi have?",
        "model": "gpt-4o",
        "scaledown": {
            "rate": "auto"
        }
    }

    # The response will contain compressed context that you can use
    # to build your final prompt for the AI model
    ```
  </Tab>
</Tabs>