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

# Integrate  Converse with Google Gemini

> This page provides an in-depth guide on integrating  Converse with Google Gemini.


### **Overview**

The integration of Google Gemini with  Converse brings cutting-edge generative AI capabilities to your chatbot experience. Gemini, Google’s state-of-the-art multimodal LLM (Large Language Model), enables natural, context-aware, and multi-turn conversations that go beyond standard automation.

This guide outlines the step-by-step process to integrate Google Gemini with  Converse.

***

### **Prerequisites**

Before you begin, ensure the following:

* You have admin-level access to your  Converse account.
* A valid Google Cloud Project with the Gemini API enabled.
* Access to Gemini API credentials (API key or OAuth token).
* Access to  Converse's LLM Integration settings.

***

### **Steps to Integration**

#### **Step 1: Enable Gemini API on Google Cloud**

1. Visit Google Cloud Console.
2. Select or create a new project.
3. Go to **APIs & Services > Library**.
4. Search for **Gemini API** (or Vertex AI API) and click **Enable**.

***

#### **Step 2: Generate API Credentials**

1. Go to **APIs & Services > Credentials**.
2. Click **“Create Credentials”** → choose **API Key**.
3. Copy the API key and keep it secure.

> 🔐 Tip: For production-level integrations, use service accounts and OAuth for enhanced security.

#### **Step 3: Add Gemini in  Converse**

1. Log in to your  Converse dashboard.
2. Select the "Third-Party Apps Integrations"
3. Search for "Google Gemini"
4. Click on Connect, and enter the API key.

Congratulations! You have successfully integrated  Converse with Google Gemini!

***

### **FAQ's**

<AccordionGroup>
  <Accordion title="Which Gemini models are supported in  Converse?">
    Converse currently supports:

    * `Gemini-Pro`
    * `Gemini-2.0-Flash`
    * `Gemini-2.0-Flash-Lite`

    These models offer a trade-off between response quality and speed, allowing you to pick what’s best for your use case.
  </Accordion>

  <Accordion title="Where can I get the API key for gemini integration?">
    You can generate your Gemini API key from the **Google Cloud Console**:

    * Go to **APIs & Services > Credentials**
    * Click **“Create Credentials” > API Key**
    * Ensure that the **Gemini (Vertex AI)** API is enabled in the selected project.
  </Accordion>

  <Accordion title="Can I use both OpenAI and Gemini models in one  Converse account?">
    No, one bot can only be Intgrated to one LLM model at a time.
  </Accordion>

  <Accordion title="What happens if my API key gets invalid or quota is exceeded?">
    If the key becomes invalid or quota limits are hit:

    * The bot will fall back to a default message.
    * An error notification will appear in the integration logs under `Settings > LLM Integration`.
    * You will receive a platform alert to take corrective action.
  </Accordion>
</AccordionGroup>