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Gemini

Power agents with Google's Gemini

Large Language Models

Connecting Gemini to Kipps.AI helps you serve customers who share images or documents by giving agents native multimodal understanding.

Benefits

Handles more request types

Agents can understand photos and documents customers send, not just text.

Faster response times

Speed-optimized models keep high-volume conversations moving.

Lower escalation rates

Multimodal understanding reduces back-and-forth clarifying questions.

Reliable fallback coverage

Keep agents running if your primary model provider has issues.

Overview

Bring your own Google AI API key to power Kipps.AI agents with Gemini. Use Gemini for multimodal conversations, reasoning, and content generation.

Features

Multimodal understanding

Process text, images, and documents in a single conversation.

Fast response times

Well-suited for high-throughput conversational agents.

Per-agent model routing

Assign Gemini to specific agents or workflows.

Usage transparency

Track tokens, cost, and latency in real-time.

How It Works

  1. 1

    Connect Gemini

    Add your Google AI API key to Kipps.AI.

  2. 2

    Select a model

    Choose the Gemini model that fits your use case.

  3. 3

    Assign to agents

    Route specific agents or workflows to Gemini.

  4. 4

    Monitor usage

    Track tokens, cost, and performance in real-time.

Use Cases

Conversational agents

Power fast, natural customer conversations.

Multimodal tasks

Process text, images, and documents together.

Content generation

Draft emails, replies, and summaries automatically.

Model fallback

Use as a backup model for reliability.

Frequently Asked Questions

Setup Guide

  1. Add your Google AI API key
  2. Select default model
  3. Assign agents or workflows
  4. Enable usage monitoring

Gemini

Large Language Models

Need help?

Our team can help you set up this integration and optimize your workflow.

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