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

# Gemini

> Send a message to Google Gemini and get a response

### Description

Send AI chat messages using Google Gemini through Plura. Use this integration to leverage Google's Gemini models for chat, reasoning, and multimodal use cases with advanced AI capabilities.

### Authentication

* Configure your Google AI / Gemini API credentials in your Plura workspace settings.

### Available Actions

* List available Gemini models
* Execute chat completions with Gemini models
* Support for multiple Gemini models (Gemini 2.0 Flash, Pro, Flash 8B)

### Examples

**Example 1: Gemini - List Models**

List all available Google Gemini models.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-001",
  "nodeParams": {
    "action": "listModels",
    "params": {
      "provider": "gemini"
    }
  }
}
```

**Example 2: Gemini - Chat Completion (Gemini 2.0 Flash)**

Execute a chat completion using Gemini 2.0 Flash model for fast responses.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-006",
  "nodeParams": {
    "action": "chat",
    "params": {
      "provider": "gemini",
      "model": "gemini-2.0-flash",
      "apiKey": "YOUR_GEMINI_API_KEY",
      "messages": [
        {
          "role": "system",
          "content": "You are a helpful assistant."
        },
        {
          "role": "user",
          "content": "List 3 fun weekend activities."
        }
      ],
      "temperature": 0.2,
      "maxTokens": 64
    }
  }
}
```

**Example 3: Gemini - Chat Completion (Gemini 2.0 Pro)**

Execute a chat completion using Gemini 2.0 Pro model for advanced reasoning.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-gemini-pro-001",
  "nodeParams": {
    "action": "chat",
    "params": {
      "provider": "gemini",
      "model": "gemini-2.0-pro",
      "apiKey": "YOUR_GEMINI_API_KEY",
      "messages": [
        {
          "role": "system",
          "content": "You are an expert in software architecture."
        },
        {
          "role": "user",
          "content": "Explain microservices architecture and its benefits."
        }
      ],
      "temperature": 0.7,
      "maxTokens": 800
    }
  }
}
```

**Example 4: Gemini - Chat Completion (Gemini 2.0 Flash 8B)**

Execute a chat completion using Gemini 2.0 Flash 8B model for lightweight, efficient responses.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-gemini-flash8b-001",
  "nodeParams": {
    "action": "chat",
    "params": {
      "provider": "gemini",
      "model": "gemini-2.0-flash-8b",
      "apiKey": "YOUR_GEMINI_API_KEY",
      "messages": [
        {
          "role": "user",
          "content": "What is the capital of France?"
        }
      ],
      "temperature": 0.1,
      "maxTokens": 50
    }
  }
}
```

**Example 5: Gemini - Chat Completion (Gemini 1.5 Pro)**

Execute a chat completion using Gemini 1.5 Pro model.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-gemini-15-pro-001",
  "nodeParams": {
    "action": "chat",
    "params": {
      "provider": "gemini",
      "model": "gemini-1.5-pro",
      "apiKey": "YOUR_GEMINI_API_KEY",
      "messages": [
        {
          "role": "user",
          "content": "Write a short story about a robot learning to paint."
        }
      ],
      "temperature": 0.8,
      "maxTokens": 500
    }
  }
}
```

**Example 6: Gemini - Chat Completion (Gemini 1.5 Flash)**

Execute a chat completion using Gemini 1.5 Flash model.

```json theme={null}
{
  "automationType": "ai_chat",
  "nodeId": "ai-node-gemini-15-flash-001",
  "nodeParams": {
    "action": "chat",
    "params": {
      "provider": "gemini",
      "model": "gemini-1.5-flash",
      "apiKey": "YOUR_GEMINI_API_KEY",
      "messages": [
        {
          "role": "system",
          "content": "You are a helpful coding assistant."
        },
        {
          "role": "user",
          "content": "Write a Python function to calculate factorial."
        }
      ],
      "temperature": 0.3,
      "maxTokens": 200
    }
  }
}
```

### Available Models

* **Latest:** gemini-2.0-flash, gemini-2.0-pro, gemini-2.0-flash-8b
* **Previous:** gemini-1.5-flash, gemini-1.5-pro, gemini-1.5-flash-8b

### Third-Party Documentation

* [Google Gemini Docs](https://ai.google.dev/docs)
* [Gemini API Reference](https://ai.google.dev/api)