Model Capabilities Deep Dive

ByteBuddy's model capabilities system defines specific functions and operations that AI models can perform, helping you better leverage the unique advantages of different models.

Capability Types

Tool Use (tool_use)

Allows models to call external tools and functions.

Configuration Example

yaml

models:
  - name: "tool-using-model"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4000

Supported Tools

File System: Read and write files
Network Requests: HTTP/API calls
Database: Query databases
Command Execution: Run system commands
Custom Tools: User-defined tools

Use Cases

Code execution and testing
Data retrieval and analysis
File operations and management
External API integration

Image Input (image_input)

Allows models to process image inputs.

Configuration Example

yaml

models:
  - name: "vision-model"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096

Supported Image Types

PNG: Lossless compression format
JPEG: Lossy compression format
WebP: Modern image format
GIF: Animated and static images

Use Cases

UI/UX design analysis
Screenshot understanding
Chart and graph parsing
Document image processing

Next Edit (next_edit)

Predicts and suggests the next code edit.

Configuration Example

yaml

models:
  - name: "next-edit-model"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["edit"]
    capabilities: ["next_edit"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 4000

Functional Features

Intelligent Prediction: Predict next edit operation
Context Awareness: Based on current code state
Multi-Step Planning: Plan series of edits
Refactoring Suggestions: Provide refactoring solutions

Use Cases

Continuous code editing
Refactoring optimization
Pattern recognition and application
Code improvement suggestions

Multi-Capability Configuration

Combined Capabilities

A single model can have multiple capabilities:

yaml

models:
  - name: "multi-capable-model"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat", "edit"]
    capabilities: ["tool_use", "image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096

Role-Based Capability Assignment

Different roles may need different capabilities:

yaml

models:
  # Chat role - needs tool use and image input
  - name: "chat-assistant"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use", "image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4000

  # Edit role - needs next edit
  - name: "edit-assistant"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["edit"]
    capabilities: ["next_edit"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 4000

  # Apply role - needs tool use
  - name: "apply-assistant"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["apply"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.5
      maxTokens: 4096

Provider Capability Support

OpenAI

yaml

models:
  # GPT-4 - supports tool use
  - name: "openai-gpt4"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4000

  # GPT-4 Vision - supports image input and tool use
  - name: "openai-gpt4-vision"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use", "image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096

Anthropic

yaml

models:
  # Claude 3 Opus - supports tool use
  - name: "claude-opus"
    provider: "anthropic"
    model: "claude-3-opus"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096

  # Claude 3 Sonnet - supports next edit
  - name: "claude-sonnet"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["edit"]
    capabilities: ["next_edit"]
    defaultCompletionOptions:
      temperature: 0.3
      maxTokens: 4000

Google

yaml

models:
  # Gemini Pro - supports tool use
  - name: "gemini-pro"
    provider: "google"
    model: "gemini-pro"
    apiKey: "${GOOGLE_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 2048

  # Gemini Pro Vision - supports image input
  - name: "gemini-pro-vision"
    provider: "google"
    model: "gemini-pro-vision"
    apiKey: "${GOOGLE_API_KEY}"
    roles: ["chat"]
    capabilities: ["image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 2048

Capability Validation

Automatic Detection

ByteBuddy automatically detects model capabilities:

Based on provider and model name
Verification through API responses
Runtime capability testing

Manual Configuration

Explicitly specifying model capabilities can:

Override automatic detection results
Enable experimental features
Disable certain capabilities

Usage Recommendations

Tool Use Best Practices

yaml

models:
  - name: "tool-expert"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat", "apply"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.5 # Lower temperature for accurate tool calls
      maxTokens: 4000

Recommendations:

Lower Temperature: Improve tool call accuracy
Clear Prompts: Clarify tool usage scenarios
Error Handling: Handle tool call failures
Permission Control: Limit tool access permissions

Image Input Best Practices

yaml

models:
  - name: "vision-expert"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096 # Image analysis may need more tokens

Recommendations:

Image Quality: Use clear images
Size Limits: Note image size restrictions
Format Selection: Use supported formats
Context Combination: Combine with text descriptions

Next Edit Best Practices

yaml

models:
  - name: "edit-expert"
    provider: "anthropic"
    model: "claude-3-sonnet"
    apiKey: "${ANTHROPIC_API_KEY}"
    roles: ["edit"]
    capabilities: ["next_edit"]
    defaultCompletionOptions:
      temperature: 0.2 # Low temperature ensures edit accuracy
      maxTokens: 4000

Recommendations:

Low Temperature: Ensure edit accuracy
Sufficient Context: Provide complete code context
Incremental Edits: Make one edit at a time
Validate Results: Check edit outcomes

Advanced Configuration

Conditional Capability Enabling

yaml

models:
  # Development environment - enable all capabilities
  - name: "dev-model"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use", "image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4000

  # Production environment - limit capabilities
  - name: "prod-model"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: [] # No special capabilities
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 2000

Capability Fallback

Fallback strategy when preferred model is unavailable:

yaml

models:
  # Primary model - all capabilities
  - name: "primary-model"
    provider: "openai"
    model: "gpt-4-vision-preview"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use", "image_input"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4096

  # Fallback model - partial capabilities
  - name: "fallback-model"
    provider: "openai"
    model: "gpt-4"
    apiKey: "${OPENAI_API_KEY}"
    roles: ["chat"]
    capabilities: ["tool_use"]
    defaultCompletionOptions:
      temperature: 0.7
      maxTokens: 4000

Troubleshooting

Capability Unavailable

Solutions:

Check if model supports the capability
Verify provider configuration
Confirm API version
Review provider documentation

Tool Call Failures

Solutions:

Check tool definition
Verify parameter format
Confirm permission settings
Review error logs

Performance Issues

Solutions:

Optimize tool count
Reduce image size
Adjust token limits
Use faster models

Environment Variables

bash

# ~/.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 fully understanding and leveraging model capabilities, you can build a more powerful and intelligent AI-assisted development environment.

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Model Capabilities Deep Dive

Capability Types

Tool Use (tool_use)

Configuration Example

Supported Tools

Use Cases

Image Input (image_input)

Configuration Example

Supported Image Types

Use Cases

Next Edit (next_edit)

Configuration Example

Functional Features

Use Cases

Multi-Capability Configuration

Combined Capabilities

Role-Based Capability Assignment

Provider Capability Support

OpenAI

Anthropic

Google

Capability Validation

Automatic Detection

Manual Configuration

Usage Recommendations

Tool Use Best Practices

Image Input Best Practices

Next Edit Best Practices

Advanced Configuration

Conditional Capability Enabling

Capability Fallback

Troubleshooting

Capability Unavailable

Tool Call Failures

Performance Issues

Environment Variables

Model Capabilities Deep Dive ​

Capability Types ​

Tool Use (tool_use) ​

Configuration Example ​

Supported Tools ​

Use Cases ​

Image Input (image_input) ​

Configuration Example ​

Supported Image Types ​

Use Cases ​

Next Edit (next_edit) ​

Configuration Example ​

Functional Features ​

Use Cases ​

Multi-Capability Configuration ​

Combined Capabilities ​

Role-Based Capability Assignment ​

Provider Capability Support ​

OpenAI ​

Anthropic ​

Google ​

Capability Validation ​

Automatic Detection ​

Manual Configuration ​

Usage Recommendations ​

Tool Use Best Practices ​

Image Input Best Practices ​

Next Edit Best Practices ​

Advanced Configuration ​

Conditional Capability Enabling ​

Capability Fallback ​

Troubleshooting ​

Capability Unavailable ​

Tool Call Failures ​

Performance Issues ​

Environment Variables ​

Model Capabilities Deep Dive

Capability Types

Tool Use (tool_use)

Configuration Example

Supported Tools

Use Cases

Image Input (image_input)

Configuration Example

Supported Image Types

Use Cases

Next Edit (next_edit)

Configuration Example

Functional Features

Use Cases

Multi-Capability Configuration

Combined Capabilities

Role-Based Capability Assignment

Provider Capability Support

OpenAI

Anthropic

Google

Capability Validation

Automatic Detection

Manual Configuration

Usage Recommendations

Tool Use Best Practices

Image Input Best Practices

Next Edit Best Practices

Advanced Configuration

Conditional Capability Enabling

Capability Fallback

Troubleshooting

Capability Unavailable

Tool Call Failures

Performance Issues

Environment Variables