Integration

Gemini

Use an approved Gemini model for selected conversation and reasoning steps.

Description

AIM AI can be configured to send approved call context to Gemini and return a response to the workflow. Model choice, prompts, retention, and permitted data are agreed before implementation.

Authentication

A Google AI or Gemini API credential is required.
Exact model access and approved actions are confirmed during workflow scoping.

Supported Actions (2)

These are the operations this integration can perform after the required credentials and permissions are approved.

List available Gemini models
Execute chat completions with Gemini models

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

Examples

Use these representative payloads as a technical starting point, then replace the sample values with the approved workflow data.

Gemini - List Models

Representative workflow configuration for Gemini - List Models.

JSON

{
  "automationType": "ai_chat",
  "nodeId": "ai-node-001",
  "nodeParams": {
    "action": "listModels",
    "params": {
      "provider": "gemini"
    }
  }
}

Gemini - Chat Completion (Gemini 2.0 Flash)

Representative workflow configuration for Gemini - Chat Completion (Gemini 2.0 Flash).

JSON

{
  "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
    }
  }
}

Gemini - Chat Completion (Gemini 2.0 Pro)

Representative workflow configuration for Gemini - Chat Completion (Gemini 2.0 Pro).

JSON

{
  "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
    }
  }
}

Gemini - Chat Completion (Gemini 2.0 Flash 8B)

Representative workflow configuration for Gemini - Chat Completion (Gemini 2.0 Flash 8B).

JSON

{
  "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
    }
  }
}

Gemini - Chat Completion (Gemini 1.5 Pro)

Representative workflow configuration for Gemini - Chat Completion (Gemini 1.5 Pro).

JSON

{
  "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
    }
  }
}

Gemini - Chat Completion (Gemini 1.5 Flash)

Representative workflow configuration for Gemini - Chat Completion (Gemini 1.5 Flash).

JSON

{
  "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
    }
  }
}