Apply Role

The apply role is specialized for executing specific tasks and application scenarios, providing targeted intelligent solutions.

Configuration

Configure in config.yaml or ~/.bytebuddy/config.yaml:

models:
  - name: "apply-task"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.5
      maxTokens: 4096

Core Application Scenarios

Code Generation

models:
  - name: "code-generator"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 4096

Document Creation

models:
  - name: "doc-creator"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.4
      maxTokens: 6144

Data Processing

models:
  - name: "data-processor"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.2
      maxTokens: 8192

Specialized Application Configuration

Data Analysis Application

models:
  - name: "data-analyst"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.2
      maxTokens: 8192

Business Intelligence Application

models:
  - name: "business-intelligence"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 6144

Customer Service Application

models:
  - name: "customer-service"
    provider: "google"
    model: "gemini-pro"
    apiKey: "${GOOGLE_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.6
      maxTokens: 2048

Technical Support Application

models:
  - name: "technical-support"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.1
      maxTokens: 4096

Advanced Application Configuration

Code Review Application

models:
  - name: "code-reviewer"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.2
      maxTokens: 8192

Project Management Application

models:
  - name: "project-manager"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 6144

Learning Tutor Application

models:
  - name: "learning-tutor"
    provider: "google"
    model: "gemini-pro"
    apiKey: "${GOOGLE_API_KEY}"
    roles: ["apply"]
    defaultCompletionOptions:
      temperature: 0.6
      maxTokens: 4096

Best Practices

1. Task Specialization

• Configure specialized roles for specific tasks
• Use domain-specific models
• Optimize temperature parameters to match task requirements

2. Context Management

• Provide sufficient task context
• Use structured input formats
• Maintain relevant historical information

3. Quality Assurance

• Set output validation rules
• Use multi-step verification processes
• Enable error handling mechanisms

4. Performance Optimization

• Choose appropriate model size
• Optimize context length
• Use reasonable token limits

Environment Variables

# ~/.bashrc or ~/.zshrc
export OPENAI_API_KEY="your-openai-api-key"
export ANTHROPIC_API_KEY="your-anthropic-api-key"
export GOOGLE_API_KEY="your-google-api-key"

Through proper apply role configuration, you can create specialized AI assistants that provide precise and efficient solutions for specific tasks and scenarios.