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

# OpenAI

> Configure OpenAI GPT models in integration-api.

The OpenAI caller uses the OpenAI Go SDK. Credentials are read from the vault. Streaming uses Server-Sent Events with per-token `onStream` callbacks.

**Provider directory:** `api/integration-api/internal/caller/openai/`

***

## Vault Credential

| Key   | Description                                                                              |
| ----- | ---------------------------------------------------------------------------------------- |
| `key` | OpenAI API key from [platform.openai.com/api-keys](https://platform.openai.com/api-keys) |

***

## Setup

<Steps>
  <Step title="Get an OpenAI API key">
    Sign in at [platform.openai.com](https://platform.openai.com) → **API Keys → Create new secret key**.
  </Step>

  <Step title="Add to Rapida vault">
    In the Rapida dashboard → **Credentials → Create Credential**, select provider **OpenAI**, enter `key` = your API key.
  </Step>

  <Step title="Configure the assistant LLM">
    In the assistant settings → **LLM Provider**, select **OpenAI** and set model parameters:

    ```json theme={null}
    {
      "model.name": "gpt-4o",
      "model.temperature": 0.7,
      "model.max_tokens": 200,
      "model.tool_choice": "auto"
    }
    ```
  </Step>
</Steps>

***

## Supported Models

| Model           | Context | Notes                                |
| --------------- | ------- | ------------------------------------ |
| `gpt-4o`        | 128k    | Best balance of speed and capability |
| `gpt-4o-mini`   | 128k    | Fastest, lowest cost                 |
| `gpt-4-turbo`   | 128k    | High-capability                      |
| `gpt-4`         | 8k      | Legacy                               |
| `gpt-3.5-turbo` | 16k     | Low cost                             |

***

## Model Parameters

| Key                       | Supported | Notes                                     |
| ------------------------- | --------- | ----------------------------------------- |
| `model.name`              | ✅         | Required                                  |
| `model.temperature`       | ✅         | 0.0–2.0                                   |
| `model.max_tokens`        | ✅         |                                           |
| `model.top_p`             | ✅         |                                           |
| `model.stop`              | ✅         | Array of stop sequences                   |
| `model.tool_choice`       | ✅         | `auto`, `none`, `required`                |
| `model.frequency_penalty` | ✅         | -2.0–2.0                                  |
| `model.presence_penalty`  | ✅         | -2.0–2.0                                  |
| `model.seed`              | ✅         | Deterministic output                      |
| `model.response_format`   | ✅         | `json_object`, `text`                     |
| `model.reasoning_effort`  | ✅         | `low`, `medium`, `high` (o-series models) |

***

<CardGroup cols={2}>
  <Card title="Anthropic" icon="bot" href="/opensource/services/integration-api/llm/anthropic">
    Claude models
  </Card>

  <Card title="LLM Overview" icon="network" href="/opensource/services/integration-api/llm/overview">
    All providers and ChatCompletionOptions
  </Card>
</CardGroup>