KamoCRM + Google Gemini

Use Google Gemini models as the AI assistant backend

Overview

Configure Google Gemini as the LLM provider for KamoCRM's AI assistant. Use Gemini Pro (most capable) or Gemini Flash (fast and cheap). Connect via Google AI Studio API key for simple setups, or configure Vertex AI for enterprise Google Cloud customers.

Common use cases

Gemini Pro for capable reasoning

Strong multimodal support — image understanding, code analysis, and long-document reasoning in one model.

Gemini Flash for high-volume tasks

Fast and inexpensive — ideal for classification, summarization, and high-throughput AI work.

Vertex AI for Google Cloud customers

If your organization runs on Google Cloud, Vertex AI routing keeps AI workload within GCP for billing and compliance.

Setup

1Navigate to Settings → AI → Providers in KamoCRM
2Select Google Gemini as a provider
3Enter your Google AI Studio API key (or Vertex AI service account)
4Select default model (Pro, Flash)
5Test with a sample AI query

What data syncs

AI request/response routing

Token usage (billed by Google)

Model availability

Questions about Google Gemini

Google AI Studio vs Vertex AI?

AI Studio for simpler setups with a direct API key. Vertex AI for enterprise Google Cloud customers wanting unified billing, IAM integration, and regional deployment.

What are Gemini's strengths?

Multimodal handling (image, audio, video input), long context, and competitive pricing — especially Gemini Flash for high-throughput use.

Does it support Google Workspace data access?

The AI integration is separate from the Workspace integration. The two together mean Gemini can work with your Workspace data if you connect both.

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