> ## 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.

# Mistral

> Using Mistral AI models with Upsonic

## Overview

Mistral AI provides high-performance open and commercial models including Mistral Large and Codestral. Known for strong performance and European values.

**Model Class:** `MistralModel`

## Authentication

```bash theme={null}
export MISTRAL_API_KEY="..."
```

## Examples

```python theme={null}
from upsonic import Agent, Task
from upsonic.models.mistral import MistralModel

model = MistralModel(model_name="mistral-large-latest")
agent = Agent(model=model)

task = Task("Hello, how are you?")
result = agent.do(task)
print(result)
```

## Model Settings

You can set model parameters in two ways: on the model or on the Agent.

**On the model:**

```python theme={null}
from upsonic import Agent, Task
from upsonic.models.mistral import MistralModel, MistralModelSettings

model = MistralModel(
    model_name="mistral-large-latest",
    settings=MistralModelSettings(max_tokens=1024, temperature=0.7)
)
agent = Agent(model=model)
```

**On the Agent:**

```python theme={null}
from upsonic import Agent, Task
from upsonic.models.mistral import MistralModelSettings

agent = Agent(
    model="mistral/mistral-large-latest",
    settings=MistralModelSettings(max_tokens=1024)
)
```

## Parameters

| Parameter           | Type        | Description                    | Default       | Source |
| ------------------- | ----------- | ------------------------------ | ------------- | ------ |
| `max_tokens`        | `int`       | Maximum tokens to generate     | Model default | Base   |
| `temperature`       | `float`     | Sampling temperature (0.0-1.0) | 0.7           | Base   |
| `top_p`             | `float`     | Nucleus sampling               | 1.0           | Base   |
| `seed`              | `int`       | Random seed                    | None          | Base   |
| `stop_sequences`    | `list[str]` | Stop generation sequences      | None          | Base   |
| `presence_penalty`  | `float`     | Token presence penalty         | 0.0           | Base   |
| `frequency_penalty` | `float`     | Token frequency penalty        | 0.0           | Base   |
| `timeout`           | `float`     | Request timeout (seconds)      | 600           | Base   |