🟢 Cohere Models

Cohere specializes in enterprise-grade language models with a focus on retrieval-augmented generation (RAG), multilingual capabilities, and production-ready APIs. Their models excel at understanding context and generating human-like text.

🌟 Why Choose Cohere?

Cohere Advantages

📊 Available Models

Model	Context Window	Best For	Input Cost	Output Cost
Command R+	128K tokens	Enterprise, RAG, reasoning	$15/1M tokens	$60/1M tokens
Command R	128K tokens	General purpose, RAG	$3/1M tokens	$15/1M tokens
Command	32K tokens	General purpose	$0.5/1M tokens	$1.5/1M tokens
Command Light	32K tokens	Fast, cost-effective	$0.1/1M tokens	$0.3/1M tokens

Source: Cohere Pricing

🚀 Getting Started

Step 1: Create Cohere Account

1. Visit Cohere Console
2. Sign up with your email
3. Verify your account
4. Complete profile setup

Step 2: Get API Key

1. Go to API Keys section
2. Click "Create API Key"
3. Give it a descriptive name
4. Copy the key and store securely

Step 3: Configure in MCP for WP

1. Go to MCP for WP > Settings
2. Set Provider to "Cohere"
3. Enter your API key
4. Select default model (e.g., command)
5. Click "Test Connection"
6. Save settings

⚙️ Model Configuration

Default Settings

json

{
  "model": "command",
  "max_tokens": 2048,
  "temperature": 0.7,
  "top_p": 0.9,
  "top_k": 0,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0
}

Parameter Guide

Model Selection

• command-r-plus: Best for enterprise, RAG, complex reasoning
• command-r: Good for RAG and general purpose
• command: Balanced performance and cost
• command-light: Fast, cost-effective for simple tasks

Max Tokens

• Range: 1 to 4096 (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

Top K

• Range: 0 to 100
• 0: Disabled (default)
• Higher values: More diverse outputs

Frequency Penalty

• Range: 0.0 to 1.0
• 0.0: No penalty
• Higher values: Reduce repetition

Presence Penalty

• Range: 0.0 to 1.0
• 0.0: No penalty
• Higher values: Encourage new topics

💰 Pricing & Usage

Cost Structure

Model	Input Cost	Output Cost	Free Tier
Command R+	$15/1M tokens	$60/1M tokens	$5 credit
Command R	$3/1M tokens	$15/1M tokens	$5 credit
Command	$0.5/1M tokens	$1.5/1M tokens	$5 credit
Command Light	$0.1/1M tokens	$0.3/1M tokens	$5 credit

Usage Limits

Plan	Rate Limit	Monthly Limit
Free Tier	5 requests/second	$5 credit
Pay-as-you-go	100 requests/second	No limit
Enterprise	Custom	Custom

Source: Cohere Quotas

Cost Optimization Tips

1. Use Command Light for simple tasks
2. Choose appropriate model for task complexity
3. Monitor token usage
4. Use RAG for knowledge-intensive tasks

🔧 Advanced Configuration

Retrieval-Augmented Generation (RAG)

Cohere excels at RAG applications. Configure your tool to use external knowledge:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "query": { "type": "string", "description": "User question" },
      "context": { "type": "string", "description": "Retrieved context" }
    },
    "required": ["query", "context"]
  }
}

System Instructions

json

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

Function Calling

json

{
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "search_database",
        "description": "Search knowledge base",
        "parameters": {
          "type": "object",
          "properties": {
            "query": { "type": "string" }
          }
        }
      }
    }
  ]
}

🛠️ Use Cases & Examples

Knowledge Base Q&A

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "question": { "type": "string", "description": "User question" },
      "knowledge_base": { "type": "string", "description": "Relevant documents" },
      "style": { "type": "string", "enum": ["concise", "detailed", "technical"] }
    },
    "required": ["question", "knowledge_base"]
  }
}

Recommended Settings:

• Model: command-r-plus
• Temperature: 0.3
• Max Tokens: 1024

Content Generation

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "topic": { "type": "string", "description": "Topic to write about" },
      "style": { "type": "string", "enum": ["professional", "casual", "creative"] },
      "length": { "type": "string", "enum": ["short", "medium", "long"] }
    },
    "required": ["topic"]
  }
}

Recommended Settings:

• Model: command
• Temperature: 0.8
• Max Tokens: 2048

Multilingual Tasks

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "text": { "type": "string", "description": "Text to process" },
      "source_language": { "type": "string", "description": "Source language" },
      "target_language": { "type": "string", "description": "Target language" },
      "task": { "type": "string", "enum": ["translate", "summarize", "analyze"] }
    },
    "required": ["text", "target_language"]
  }
}

Recommended Settings:

• Model: command-r
• Temperature: 0.5
• Max Tokens: 2048

🔍 Troubleshooting

Common Issues

• API Key Invalid: Check Cohere dashboard
• Rate Limit Exceeded: Check usage limits
• Model Not Available: Verify model name
• Context Too Long: Reduce input length

Debugging Tips

1. Check API key in Cohere dashboard
2. Monitor usage and billing
3. Review request logs in MCP for WP
4. Test with Cohere playground
5. Check quotas and limits

Performance Optimization

1. Use appropriate model size
2. Optimize prompt length
3. Implement caching
4. Use RAG for knowledge tasks

📚 Additional Resources

• Cohere Documentation
• Cohere Console
• Cohere Playground
• API Reference
• RAG Tutorial

🔐 Security Best Practices

• Keep API keys secure
• Monitor usage for anomalies
• Use environment variables
• Implement rate limiting
• Regular security audits

📞 Support

• Cohere Support
• Cohere Community
• MCP for WP Docs

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