> ## 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.

# OpenAI-Like Models

> Using models that implement the OpenAI API specification

## Overview

OpenAI-like models are LLM providers that implement the OpenAI API specification. You can use the standard `OpenAIChatModel` with custom `base_url` and `api_key` parameters to connect to any OpenAI-like endpoint.

**Model Class:** `OpenAIChatModel`

## Authentication

```python theme={null}
from os import getenv
from upsonic.models.openai import OpenAIChatModel
from upsonic.providers.openai import OpenAIProvider

model = OpenAIChatModel(
    model_name="your-model-name",
    provider=OpenAIProvider(api_key=getenv("YOUR_API_KEY"), base_url="https://your-custom-endpoint.com/v1")
)
```

## Examples

```python theme={null}
from os import getenv
from upsonic import Agent, Task
from upsonic.models.openai import OpenAIChatModel
from upsonic.providers.openai import OpenAIProvider

model = OpenAIChatModel(
    model_name="your-model-name",
    provider=OpenAIProvider(api_key=getenv("YOUR_API_KEY"), base_url="https://your-custom-endpoint.com/v1")
)

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

## Parameters

| Parameter             | Type        | Description                            | Default       | Source |
| --------------------- | ----------- | -------------------------------------- | ------------- | ------ |
| `model_name`          | `str`       | Model identifier                       | Required      | Base   |
| `api_key`             | `str`       | API key for authentication             | Required      | Base   |
| `base_url`            | `str`       | Custom endpoint URL                    | Required      | Base   |
| `max_tokens`          | `int`       | Maximum tokens to generate             | Model default | Base   |
| `temperature`         | `float`     | Sampling temperature (0.0-2.0)         | 1.0           | Base   |
| `top_p`               | `float`     | Nucleus sampling threshold             | 1.0           | Base   |
| `seed`                | `int`       | Random seed for reproducibility        | None          | Base   |
| `stop_sequences`      | `list[str]` | Sequences that stop generation         | None          | Base   |
| `presence_penalty`    | `float`     | Penalize token presence (-2.0 to 2.0)  | 0.0           | Base   |
| `frequency_penalty`   | `float`     | Penalize token frequency (-2.0 to 2.0) | 0.0           | Base   |
| `parallel_tool_calls` | `bool`      | Allow parallel tool execution          | True          | Base   |
| `timeout`             | `float`     | Request timeout in seconds             | 600           | Base   |