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MoltBot with Google Gemini - Setup & Configuration
2026/01/30

MoltBot with Google Gemini - Setup & Configuration

Configure MoltBot to use Google Gemini AI. API setup, model selection, and optimization guide for Gemini integration.

Using MoltBot with Google Gemini

Google Gemini offers powerful AI capabilities with competitive pricing. This guide covers setting up MoltBot with Gemini models.

Why Gemini?

  • Generous Free Tier: Free usage for Gemini 1.5 Flash
  • Long Context: Up to 1M tokens context window
  • Fast Response: Gemini Flash is optimized for speed
  • Multimodal: Supports text, images, and video
  • Cost Effective: Competitive pricing for Pro models

Getting Your API Key

Step 1: Access Google AI Studio

  1. Go to Google AI Studio
  2. Sign in with your Google account
  3. Click "Get API Key"
  4. Create a new API key or use existing one

Step 2: Save Your Key

# Set environment variable
export GOOGLE_AI_API_KEY="your-api-key-here"

Or add to your shell profile:

echo 'export GOOGLE_AI_API_KEY="your-api-key-here"' >> ~/.zshrc
source ~/.zshrc

Configuration

Basic Setup

Configure MoltBot to use Gemini:

moltbot config set aiProvider google
moltbot config set googleModel gemini-1.5-flash

Or edit ~/.moltbot/config.json:

{
  "aiProvider": "google",
  "google": {
    "apiKey": "your-api-key-here",
    "model": "gemini-1.5-flash",
    "maxTokens": 8192
  }
}

Available Models

ModelBest ForContextSpeed
gemini-1.5-flashFast responses, cost-effective1M tokensFast
gemini-1.5-proComplex reasoning, analysis1M tokensMedium
gemini-1.0-proLegacy support32K tokensMedium

Model Selection

Choose based on your needs:

# For fast, everyday tasks
moltbot config set googleModel gemini-1.5-flash

# For complex analysis
moltbot config set googleModel gemini-1.5-pro

Advanced Configuration

Temperature and Creativity

{
  "google": {
    "model": "gemini-1.5-flash",
    "temperature": 0.7,
    "topP": 0.9,
    "topK": 40
  }
}

Safety Settings

Configure content filtering:

{
  "google": {
    "safetySettings": {
      "harassmentThreshold": "BLOCK_ONLY_HIGH",
      "dangerousContentThreshold": "BLOCK_ONLY_HIGH"
    }
  }
}

Options:

  • BLOCK_NONE
  • BLOCK_ONLY_HIGH
  • BLOCK_MEDIUM_AND_ABOVE
  • BLOCK_LOW_AND_ABOVE

Long Context

Leverage Gemini's 1M token context:

{
  "google": {
    "model": "gemini-1.5-flash",
    "maxInputTokens": 1000000
  },
  "memory": {
    "maxContextTokens": 500000
  }
}

Multimodal Capabilities

Image Understanding

Gemini can analyze images:

moltbot chat "What's in this image?" --image /path/to/image.jpg

Document Analysis

Process long documents:

moltbot analyze /path/to/document.pdf

Usage Examples

Chat with Gemini

# Start interactive chat
moltbot chat

# One-off query
moltbot ask "Explain quantum computing in simple terms"

With Messaging Platforms

Gemini works with all MoltBot integrations:

# Telegram with Gemini
moltbot config set telegram.enabled true
moltbot config set aiProvider google

# Start
moltbot start

Cost Optimization

Free Tier Usage

Gemini 1.5 Flash has a generous free tier:

  • 15 requests per minute
  • 1 million tokens per minute
  • 1,500 requests per day

Monitoring Usage

Check your usage:

moltbot stats usage

Cost Saving Tips

  1. Use Flash for simple tasks: Default to gemini-1.5-flash
  2. Cache responses: Enable caching for repeated queries
  3. Compress context: Summarize long conversations
{
  "google": {
    "model": "gemini-1.5-flash"
  },
  "cache": {
    "enabled": true,
    "ttl": 3600
  },
  "memory": {
    "summarizeAfterTokens": 50000
  }
}

Comparison with Other Providers

FeatureGeminiClaudeGPT-4
Free TierYesNoNo
Max Context1M200K128K
SpeedFastMediumMedium
Image SupportYesYesYes
Code QualityGoodExcellentExcellent

Switching Between Models

MoltBot supports multiple AI providers. You can switch dynamically:

# Use Gemini for fast tasks
moltbot ask "Quick question" --provider google --model gemini-1.5-flash

# Use Claude for complex tasks
moltbot ask "Complex analysis" --provider anthropic --model claude-3-sonnet

Or set per-skill:

{
  "skills": {
    "quickAnswer": {
      "aiProvider": "google",
      "model": "gemini-1.5-flash"
    },
    "deepAnalysis": {
      "aiProvider": "anthropic",
      "model": "claude-3-opus"
    }
  }
}

Troubleshooting

API Key Errors

Error: Invalid API key

Solution:

  1. Verify key at Google AI Studio
  2. Check for extra spaces or newlines
  3. Regenerate key if needed

Rate Limit Errors

Error: Rate limit exceeded

Solution:

  1. Wait and retry
  2. Reduce request frequency
  3. Consider upgrading to paid tier

Safety Filter Blocks

If content is blocked:

  1. Review safety settings
  2. Adjust thresholds in config
  3. Rephrase your query

Regional Availability

Gemini is available in most regions. Check Google's documentation for specific availability.


Start using MoltBot with Gemini today! Need help? Join our Discord community.

All Posts

Categories

    Using MoltBot with Google GeminiWhy Gemini?Getting Your API KeyStep 1: Access Google AI StudioStep 2: Save Your KeyConfigurationBasic SetupAvailable ModelsModel SelectionAdvanced ConfigurationTemperature and CreativitySafety SettingsLong ContextMultimodal CapabilitiesImage UnderstandingDocument AnalysisUsage ExamplesChat with GeminiWith Messaging PlatformsCost OptimizationFree Tier UsageMonitoring UsageCost Saving TipsComparison with Other ProvidersSwitching Between ModelsTroubleshootingAPI Key ErrorsRate Limit ErrorsSafety Filter BlocksRegional Availability

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