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

# AI Providers: Connect LLMs to Power Your AI Agents

> Connect OpenAI, Gemini, Claude, DeepSeek, OpenRouter, or any OpenAI-compatible LLM to your ChatbotX workspace to power your AI Agents.

Before an AI Agent can think and respond, you need to link your ChatbotX workspace to at least one **AI Provider** — the large language model (LLM) platform that supplies the intelligence. ChatbotX supports direct API integrations with all major LLM providers so you can choose the model that best fits your budget, accuracy requirements, and use case. You pay the provider directly based on your actual token consumption, with no markup from ChatbotX.

Connecting an AI Provider gives you three key benefits:

* **Flexibility** — pick any LLM that matches your conversational needs, from cost-efficient models to the most capable ones.
* **Automation** — enable your Agent to study your Knowledge base and reply to customers automatically, 24/7.
* **Cost control** — pay only for what you use, billed directly by the provider.

## AI Provider Configuration Page

Navigate to **Settings** in the left navigation menu, then click the **Integrations** tab on the top toolbar. This page is where you add, manage, and remove all AI Provider connections for your workspace.

## Integrating Your LLM Accounts

<AccordionGroup>
  <Accordion title="1. OpenAI">
    The most popular AI platform, providing highly intelligent and reliable responses across a wide range of tasks.

    **API Key URL:** `https://platform.openai.com/api-keys`

    <Steps>
      <Step title="Log in to OpenAI">
        Go to the [OpenAI Developer Dashboard](https://platform.openai.com/api-keys), log in to your account, and create a new API Key. Copy the key.
      </Step>

      <Step title="Open the OpenAI section in ChatbotX">
        In ChatbotX, expand the **OpenAI** section under **Settings > Integrations**.
      </Step>

      <Step title="Paste your API Key and connect">
        Paste your copied API Key into the field and click **Connect**.
      </Step>

      <Step title="Configure Automated Responses">
        Set the **Automated Responses** option to match your preferred behavior:

        | Setting      | Behavior                                                                                                                   |
        | ------------ | -------------------------------------------------------------------------------------------------------------------------- |
        | **Enabled**  | Every inbound message triggers the AI model to analyze your knowledge base and reply automatically (Global Auto Reply).    |
        | **Disabled** | Global auto-reply is off. You can still use OpenAI by adding OpenAI actions manually inside individual Flow Builder flows. |
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="2. Google Gemini">
    Features exceptionally fast processing speeds and a massive context window, making it well suited for large documents and multi-turn conversations.

    **API Key URL:** `https://aistudio.google.com/app/apikey`

    <Steps>
      <Step title="Open Google AI Studio">
        Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and log in with your Google account.
      </Step>

      <Step title="Generate an API key">
        Click **Get API key** and generate a new key. Copy it.
      </Step>

      <Step title="Add the key to ChatbotX">
        In ChatbotX, expand the **Google Gemini** section under **Settings > Integrations**, paste your key, and click **Connect**.
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="3. Claude AI">
    Anthropic's Claude models are renowned for superior logical reasoning and professional, natural conversation quality.

    **API Key URL:** `https://console.anthropic.com/settings/keys`

    <Steps>
      <Step title="Open the Anthropic Console">
        Go to the [Anthropic Console](https://console.anthropic.com/settings/keys) and log in.
      </Step>

      <Step title="Generate a key">
        Navigate to the **API Keys** section and generate a new key. Copy it.
      </Step>

      <Step title="Add the key to ChatbotX">
        In ChatbotX, expand the **Claude AI** section under **Settings > Integrations**, paste your key, and click **Connect**.
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="4. DeepSeek">
    Next-generation models that deliver high performance and strong language understanding at highly optimized API costs.

    **API Key URL:** `https://platform.deepseek.com/api_keys`

    <Steps>
      <Step title="Open the DeepSeek API Dashboard">
        Go to the [DeepSeek API Dashboard](https://platform.deepseek.com/api_keys) and log in.
      </Step>

      <Step title="Generate a key">
        Select **API Keys** from the left menu and generate a new key. Copy it.
      </Step>

      <Step title="Add the key to ChatbotX">
        In ChatbotX, expand the **DeepSeek** section under **Settings > Integrations**, paste your key, and click **Connect**.
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="5. OpenRouter">
    A unified gateway that gives you access to hundreds of open-source and commercial AI models through a single API Key.

    **API Key URL:** `https://openrouter.ai/keys`

    <Steps>
      <Step title="Log in to OpenRouter">
        Go to [OpenRouter](https://openrouter.ai/keys) and log in to your account.
      </Step>

      <Step title="Create a key">
        Create a new API Key in your key management settings. Copy it.
      </Step>

      <Step title="Add the key to ChatbotX">
        In ChatbotX, expand the **OpenRouter** section under **Settings > Integrations**, paste your key, and click **Connect**. Then select your desired LLM from the connected dropdown list.
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="6. OpenAI Compatible (Custom Providers)">
    **OpenAI Compatible** lets you connect any AI provider — including self-hosted models and third-party platforms — that exposes an OpenAI Chat Completions-compatible endpoint. This means you are not limited to the built-in providers; you can configure as many custom connections as you need.

    <Steps>
      <Step title="Open the OpenAI Compatible section">
        Go to **Settings > Integrations**, expand the **OpenAI Compatible** section, and click **+ Add AI Provider**.
      </Step>

      <Step title="Select a preset or choose Custom">
        In the **Add AI Provider** modal, choose a provider from the preset list (NVIDIA NIM, LM Studio, Heroku, Clarifai, NEAR AI Cloud, and others) or select **Custom** to configure your own endpoint.
      </Step>

      <Step title="Fill in the connection details">
        Configure the following fields:

        | Field             | Description                                                                                             |
        | ----------------- | ------------------------------------------------------------------------------------------------------- |
        | **Name**          | A display label to distinguish this provider (e.g., "LM Studio Local", "Ollama Server").                |
        | **Base URL**      | The API endpoint address for the provider. See the reference table below.                               |
        | **Default model** | The default model name to use (e.g., `gpt-4o-mini`, `llama-3.1-8b`).                                    |
        | **API Key**       | Authentication key from the provider. Some local services like LM Studio or Ollama may not require one. |
        | **AI Auto Reply** | Enable to use this provider for the global auto-reply feature.                                          |
        | **Enabled**       | Toggle on to activate this provider connection.                                                         |
      </Step>

      <Step title="Save the connection">
        Click **Confirm** to save and activate the provider. You can add multiple OpenAI Compatible providers simultaneously — each appears as a separate option when configuring AI Agents.
      </Step>
    </Steps>

    ### Common Base URL Reference

    | Provider / Service | Base URL                                                              | Notes                                                           |
    | ------------------ | --------------------------------------------------------------------- | --------------------------------------------------------------- |
    | Together AI        | `https://api.together.xyz/v1`                                         | Wide range of open-source models                                |
    | LM Studio (Local)  | `http://localhost:1234/v1`                                            | Run AI models on your local machine                             |
    | Ollama (Local)     | `http://localhost:11434/v1`                                           | Run open-source models locally                                  |
    | NVIDIA NIM         | `https://integrate.api.nvidia.com/v1`                                 | GPU-optimized models from NVIDIA                                |
    | Groq               | `https://api.groq.com/openai/v1`                                      | Ultra-fast inference speed                                      |
    | Fireworks AI       | `https://api.fireworks.ai/inference/v1`                               | Fast open-source model deployment                               |
    | Mistral AI         | `https://api.mistral.ai/v1`                                           | Mistral and Mixtral models                                      |
    | Perplexity         | `https://api.perplexity.ai`                                           | AI with web search capabilities                                 |
    | Azure OpenAI       | `https://{resource}.openai.azure.com/openai/deployments/{deployment}` | Replace `{resource}` and `{deployment}` with your Azure details |
  </Accordion>
</AccordionGroup>

## Assigning an AI Provider to an AI Agent

Once you have linked your API Keys in Settings, configure the specific model and parameters for each Agent individually.

<Steps>
  <Step title="Open AI Agents">
    Go to the **AI Agents** menu in the left sidebar.
  </Step>

  <Step title="Select or create an Agent">
    Click an existing Agent to edit it, or click **+ Create AI Agent** to build a new one.
  </Step>

  <Step title="Configure the model parameters">
    In the Agent configuration form, set the following parameters in the right panel:

    | Parameter           | Description                                                                                                                                                                                                                                                           |
    | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
    | **Model selection** | Choose the specific LLM version for your connected provider (e.g., Gemini Model, OpenAI Model, Claude Model, DeepSeek Model, OpenRouter Model, or any OpenAI Compatible provider you added).                                                                          |
    | **Temperature**     | Controls the creativity and randomness of responses, on a scale from `0` to `1`. Lower values (0.2–0.4) produce factual, precise replies ideal for customer support. Higher values (0.7–0.9) produce more expressive, creative language ideal for content generation. |
    | **Max Tokens**      | Limits the maximum length of each response (e.g., `2048`). Helps prevent overly verbose outputs and keeps your API costs predictable.                                                                                                                                 |
  </Step>

  <Step title="Save the configuration">
    Click **Confirm** (or **Save**) to apply the model configuration to the Agent.
  </Step>
</Steps>

<Note>
  Each AI Agent can be assigned its own model and parameters independently. This lets you run a cost-efficient model for simple FAQs and a more capable model for complex sales conversations at the same time.
</Note>