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

# Attributes

> Configuration options for Direct LLM Call

## Attributes

The `Direct` class accepts the following attributes during initialization:

| Attribute  | Type                          | Default           | Description                                                           |
| ---------- | ----------------------------- | ----------------- | --------------------------------------------------------------------- |
| `model`    | Union\[str, Any, None]        | `"openai/gpt-4o"` | Model identifier or Model instance                                    |
| `settings` | ModelSettings \| None         | `None`            | Model-specific configuration including temperature, max\_tokens, etc. |
| `profile`  | ModelProfileSpec \| None      | `None`            | Model profile configuration for advanced customization                |
| `provider` | Union\[str, Provider] \| None | `None`            | Provider name or Provider instance for custom provider integration    |

## Configuration Example

```python theme={null}
from upsonic import Direct, Task
from upsonic.models.settings import ModelSettings
from pydantic import BaseModel

# Define structured output
class ExtractedData(BaseModel):
    company_name: str
    tax_number: str
    total_amount: float

# Create Direct instance with configuration
settings = ModelSettings(temperature=0.1, max_tokens=500)
direct = Direct(
    model="anthropic/claude-sonnet-4-5",
    settings=settings
)

# Create task with PDF attachment
task = Task(
    description="Extract company name, tax number, and total amount from the invoice",
    context=["invoice.pdf"],
    response_format=ExtractedData
)

# Execute
result = direct.do(task)
print(f"Company: {result.company_name}")
print(f"Tax Number: {result.tax_number}")
print(f"Amount: ${result.total_amount}")
```