🟡 Gemini Models

Google Gemini (formerly Bard, PaLM 2) is Google's flagship family of large language models, offering state-of-the-art performance, massive context windows, and multimodal capabilities (text, images, audio, and more).

🌟 Why Choose Gemini?

Gemini Advantages

📊 Available Models

Model	Context Window	Best For	Input Cost	Output Cost
Gemini 1.5 Pro	1M tokens	Research, long docs, multimodal	$7/1M tokens	$21/1M tokens
Gemini 1.5 Flash	128K tokens	Fast, cost-effective	$0.35/1M tokens	$1.05/1M tokens
Gemini 1.0 Pro	32K tokens	General purpose	$0.50/1M tokens	$1.50/1M tokens

Source: Google Gemini Pricing

🚀 Getting Started

Step 1: Create Google Cloud Account

1. Visit Google Cloud Console
2. Sign up or log in with your Google account
3. Create a new project for your AI usage
4. Enable billing (required for API access)

Step 2: Enable Gemini API

1. Go to Vertex AI API page
2. Click "Enable"
3. Wait for activation (usually instant)

Step 3: Generate API Key or Service Account

1. Go to APIs & Services > Credentials
2. Click "Create Credentials" > "API key"
3. Copy the key and store securely
4. (Optional): For advanced use, create a service account and download the JSON key

Step 4: Configure in MCP for WP

1. Go to MCP for WP > Settings
2. Find the "Gemini API Key" field
3. Paste your API key
4. Click "Test Connection" to verify
5. Save settings

⚙️ Model Configuration

Default Settings

json

{
  "model": "gemini-1.5-pro-latest",
  "max_tokens": 2048,
  "temperature": 0.7,
  "top_p": 1.0
}

Parameter Guide

Model Selection

• gemini-1.5-pro-latest: Best for research, long docs, multimodal
• gemini-1.5-flash-latest: Fast, cost-effective
• gemini-1.0-pro-latest: General purpose

Max Tokens

• Range: 1 to 8192 (varies by model)
• Recommendation: Start with 2048, adjust as needed

Temperature

• Range: 0.0 to 1.0
• 0.0: Deterministic
• 0.7: Balanced
• 1.0: Creative

Top P

• Range: 0.0 to 1.0
• 1.0: All tokens
• 0.9: Top 90% probability mass

💰 Pricing & Usage

Cost Calculator

Gemini Cost Calculation

Usage Limits

Plan	Rate Limit	Monthly Limit
Free Tier	60 requests/minute	$300 credit/90 days
Pay-as-you-go	600 requests/minute	No limit
Enterprise	Custom	Custom

Source: Vertex AI Quotas

Cost Optimization Tips

1. Use Gemini 1.5 Flash for fast, cheap tasks
2. Set max_tokens to control cost
3. Monitor usage in Google Cloud console
4. Batch requests when possible

🔧 Advanced Configuration

Multimodal Inputs

Gemini supports text, images, and audio as input. In MCP for WP, use the input schema to allow file uploads or URLs.

Example:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "text": { "type": "string" },
      "image_url": { "type": "string", "format": "uri" }
    },
    "required": ["text"]
  }
}

System Instructions

json

{
  "system_instruction": "You are a helpful assistant."
}

🛠️ Use Cases & Examples

Research & Summarization

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "document": { "type": "string", "description": "Text to summarize" },
      "summary_type": { "type": "string", "enum": ["brief", "detailed"] }
    },
    "required": ["document"]
  }
}

Recommended Settings:

• Model: gemini-1.5-pro-latest
• Temperature: 0.3
• Max Tokens: 1024

Multimodal Analysis

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "text": { "type": "string" },
      "image_url": { "type": "string", "format": "uri" }
    },
    "required": ["text", "image_url"]
  }
}

Recommended Settings:

• Model: gemini-1.5-pro-latest
• Temperature: 0.5
• Max Tokens: 2048

Long Document Processing

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "document": { "type": "string", "description": "Long document to process" },
      "task": { "type": "string", "enum": ["extract", "analyze", "summarize"] }
    },
    "required": ["document", "task"]
  }
}

Recommended Settings:

• Model: gemini-1.5-pro-latest
• Temperature: 0.3
• Max Tokens: 4096

🔍 Troubleshooting

Common Issues

• API Key Invalid: Check Google Cloud credentials
• Quota Exceeded: Review quotas in Vertex AI
• Model Not Enabled: Ensure Gemini API is enabled
• Billing Issues: Check billing status in Google Cloud

Debugging Tips

1. Check API key in Google Cloud console
2. Monitor usage and billing
3. Review request logs in MCP for WP
4. Test with Vertex AI Studio
5. Check quotas and limits

📚 Additional Resources

• Gemini API Docs
• Model Reference
• Pricing
• Quotas
• Vertex AI Studio

🔐 Security Best Practices

• Never expose API keys in client-side code
• Use IAM roles for service accounts
• Monitor usage for anomalies
• Rotate keys regularly

📞 Support

• Google Cloud Support
• Gemini Community
• MCP for WP Docs

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Ready to get started? Configure your Gemini integration or explore other providers!