> ## 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.

# Cohere

> Using Cohere models with Upsonic

## Overview

Cohere provides enterprise-grade language models including Command R+ with strong multilingual capabilities and retrieval-augmented generation.

**Model Class:** `CohereModel`

## Authentication

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

## Examples

```python theme={null}
from upsonic import Agent, Task
from upsonic.models.cohere import CohereModel

model = CohereModel(model_name="command-r-plus")
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.cohere import CohereModel, CohereModelSettings

model = CohereModel(
    model_name="command-r-plus",
    settings=CohereModelSettings(max_tokens=1024, temperature=0.7)
)
agent = Agent(model=model)
```

**On the Agent:**

```python theme={null}
from upsonic import Agent, Task
from upsonic.models.cohere import CohereModelSettings

agent = Agent(
    model="cohere/command-r-plus",
    settings=CohereModelSettings(max_tokens=1024)
)
```

## Parameters

| Parameter | Type | Description | Default | Source |
| - | - | - | - | - |
| `max_tokens` | `int` | Maximum tokens to generate | 4096 | Base |
| `temperature` | `float` | Sampling temperature (0.0-1.0) | 0.3 | Base |
| `top_p` | `float` | Nucleus sampling | 0.75 | Base |
| `seed` | `int` | Random seed | None | Base |
| `stop_sequences` | `list[str]` | Stop sequences | None | Base |
| `presence_penalty` | `float` | Token presence penalty | 0.0 | Base |
| `frequency_penalty` | `float` | Token frequency penalty | 0.0 | Base |


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