cai/docs/cai/getting-started/commands.md

CAI REPL Commands

This document provides documentation for all commands available in the CAI (Context-Aware Interface) REPL system.

Base Command System (base.py)

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Core Commands

Agent Management (agent.py)

AgentCommand

• Command: /agent
• Purpose: Managing and switching between different AI agents
• Features:
  • List available agents
  • Switch between agents
  • Display agent information
  • Visualize agent interaction graphs

Configuration Management (config.py)

ConfigCommand

• Command: /config
• Purpose: Display and configure environment variables
• Features:
  • Show current environment variable settings
  • Configure CTF (Capture The Flag) variables
  • Manage configuration through environment variables

Context Usage Monitoring (context.py) 🚀 CAI PRO Exclusive

ContextCommand

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• Command: /context or /ctx
• Purpose: View context usage and token statistics for the current conversation
• Features:
  • Display total context usage (used/max tokens) with percentage
  • Visual grid representation of context usage with CAI logo
  • Detailed breakdown by category:
    • System prompt tokens
    • Tool definitions tokens
    • Memory/RAG tokens
    • User prompts tokens
    • Assistant responses tokens
    • Tool calls tokens
    • Tool results tokens
  • Free space visualization
  • Context usage tracking across conversation history
  • Real-time token consumption monitoring
• Usage Example:

  # Show context usage for current agent
  /context
  
  # Alternative short form
  /ctx
  

• Output Includes:
  • Visual grid showing filled vs free context space
  • Percentage breakdown per category
  • Token counts formatted with 'k' suffix for thousands
  • Color-coded categories for easy identification
  • Summary of total input tokens from last iteration

Cost Tracking (cost.py)

CostCommand

• Command: /cost
• Purpose: View usage costs and statistics
• Features:
  • Display current session costs
  • Show cost breakdowns by model
  • Track usage over time
  • Cost statistics and reporting

Exit (exit.py)

ExitCommand

• Command: /exit
• Purpose: Terminate the CAI REPL session
• Features:
  • Clean shutdown of the REPL
  • Save current session data
  • Cleanup background processes

Help System (help.py)

HelpCommand

• Command: /help or /?
• Purpose: Display help information and command documentation
• Features:
  • List available commands
  • Show command usage
  • Display command aliases
  • Provide help for specific commands

History Management (history.py)

HistoryCommand

• Command: /history
• Purpose: Display conversation history with agent filtering
• Features:
  • Show conversation history
  • Filter by specific agents
  • Display message tree structure
  • Export history functionality

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Data Management Commands

Compact Conversation (compact.py)

CompactCommand

• Command: /compact
• Purpose: Compact current conversation and manage model/prompt settings
• Features:
  • Reduce conversation context size
  • Change model during compaction
  • Modify prompt settings
  • Maintain conversation flow while reducing tokens

Environment Display (env.py)

EnvCommand

• Command: /env
• Purpose: Display current environment variables
• Features:
  • Show all environment variables
  • Filter by variable patterns
  • Display CAI-specific environment settings

Load Data (load.py)

LoadCommand

• Command: /load
• Purpose: Load JSONL data into the current session context
• Features:
  • Load conversation history from files
  • Import external data
  • Integrate with parallel configurations
  • Support for various data formats

Memory Management (memory.py)

MemoryCommand

• Command: /memory
• Purpose: Manage persistent memory storage in .cai/memory
• Features:
  • Store conversation context persistently
  • Apply memory to current context
  • Manage memory entries
  • Persistent storage across sessions

Flush History (flush.py)

FlushCommand

• Command: /flush
• Purpose: Clear conversation history
• Features:
  • Clear current conversation
  • Reset agent contexts
  • Clean up memory
  • Start fresh conversation

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Model Management Commands

Model Configuration (model.py)

ModelCommand

• Command: /model
• Purpose: View and change the current LLM model
• Features:
  • Switch between different models
  • Display model information
  • Configure model parameters
  • Support for LiteLLM and Ollama

ModelShowCommand

• Command: /model-show
• Purpose: Show all available models from LiteLLM repository
• Features:
  • List all available models
  • Display model categories
  • Show model capabilities
  • Filter by provider

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Advanced Features

Graph Visualization (graph.py)

GraphCommand

• Command: /graph
• Purpose: Visualize agent interaction graphs
• Features:
  • Display directed graph of conversations
  • Show user and agent interactions
  • Highlight tool calls
  • Visualize conversation flow

Parallel Execution (parallel.py)

ParallelCommand

• Command: /parallel
• Purpose: Manage parallel agent configurations
• Features:
  • Configure multiple agents
  • Set different models per agent
  • Execute agents in parallel
  • Manage parallel configurations

Run Parallel (run.py)

RunCommand

• Command: /run
• Purpose: Execute queued prompts in parallel mode
• Features:
  • Queue prompts for different agents
  • Execute all queued prompts
  • Manage parallel execution
  • Collect results from multiple agents

Merge Histories (merge.py)

MergeCommand

• Command: /merge
• Purpose: Merge agent message histories (alias for /parallel merge)
• Features:
  • Combine histories from multiple agents
  • Integrate parallel conversation results
  • Shortcut for parallel merge functionality

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Integration Commands

MCP Integration (mcp.py)

MCPCommand

• Command: /mcp
• Purpose: Manage MCP (Model Context Protocol) servers and their tools
• Features:
  • Load SSE MCP servers
  • Load STDIO MCP servers
  • List active MCP connections
  • Add MCP tools to agents
  • Manage MCP server lifecycle

Platform Features (platform.py)

PlatformCommand

• Command: /platform
• Purpose: Interact with platform-specific features
• Features:
  • Access platform extensions
  • Platform-specific integrations
  • Check platform availability

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System Management Commands

Process Management (kill.py)

KillCommand

• Command: /kill
• Purpose: Terminate active processes or sessions
• Features:
  • Kill background processes
  • Terminate stuck sessions
  • Process cleanup

Shell Access (shell.py)

ShellCommand

• Command: /shell
• Purpose: Execute shell commands from within the REPL
• Features:
  • Run system commands
  • Access workspace directory
  • Container workspace support
  • Signal handling for processes

Virtualization (virtualization.py)

VirtualizationCommand

• Command: /virtualization or /virt
• Purpose: Manage Docker-based virtualization environments
• Features:
  • Set up Docker containers
  • Manage container lifecycle
  • Workspace virtualization
  • Environment isolation

Workspace Management (workspace.py)

WorkspaceCommand

• Command: /workspace or /ws
• Purpose: Manage workspace within Docker containers or locally
• Features:
  • Navigate workspace directories
  • Mount external directories
  • Container workspace management
  • File system operations

Quickstart (quickstart.py)

QuickstartCommand

• Command: /quickstart
• Purpose: Display setup information for new users
• Features:
  • Essential setup guidance
  • Configuration instructions
  • Getting started tutorial
  • Auto-runs on first launch

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Utility Commands

Command Completion (completer.py)

FuzzyCommandCompleter

• Purpose: Intelligent command completion with fuzzy matching
• Features:
  • Command auto-completion
  • Fuzzy matching for typos
  • Subcommand suggestions
  • Argument completion
  • Command shadowing detection

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Usage Examples

Basic Workflow

# Start CAI REPL
cai

# View available agents
/agent list

# Switch to a specific agent
/agent switch <agent_name>

# View conversation history
/history

# Change model
/model gpt-4

# Clear conversation
/flush

# Exit
/exit

Advanced Features

# Set up parallel execution
/parallel create agent1 --model gpt-4
/parallel create agent2 --model claude-3

# Queue prompts
/run queue agent1 "Analyze this code"
/run queue agent2 "Review the analysis"

# Execute in parallel
/run execute

# Merge results
/merge

Integration Examples

# Load MCP server
/mcp load http://localhost:9876/sse burp

# Add MCP tools to agent
/mcp add-to-agent <agent_name> burp

# Set up virtualized environment
/virtualization create ubuntu:latest
/workspace /path/to/project

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Command Registration

All commands are automatically registered when their respective modules are imported through the __init__.py file. The command system uses a registry pattern to track all available commands and their aliases.

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File Structure

src/cai/repl/commands/
├── __init__.py          # Module exports and imports
├── base.py              # Base command class
├── agent.py             # Agent management
├── compact.py           # Conversation compaction
├── completer.py         # Command completion
├── config.py            # Configuration management
├── cost.py              # Cost tracking
├── env.py               # Environment variables
├── exit.py              # REPL exit
├── flush.py             # History clearing
├── graph.py             # Graph visualization
├── help.py              # Help system
├── history.py           # History management
├── kill.py              # Process management
├── load.py              # Data loading
├── mcp.py               # MCP integration
├── memory.py            # Memory management
├── merge.py             # History merging
├── model.py             # Model management
├── parallel.py          # Parallel execution
├── platform.py          # Platform features
├── quickstart.py        # User onboarding
├── run.py               # Parallel execution trigger
├── shell.py             # Shell access
├── virtualization.py    # Container management
└── workspace.py         # Workspace management

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Extending the Command System

To add new commands:

1. Create a new Python file in src/cai/repl/commands/
2. Import the base Command class from base.py
3. Extend the Command class with your implementation
4. Use the register_command decorator or function
5. Add the import to __init__.py

Example:

from cai.repl.commands.base import Command, register_command

class MyCommand(Command):
    def __init__(self):
        super().__init__(
            name="/mycommand",
            description="My custom command",
            aliases=["/my", "/mc"]
        )
    
    def execute(self, args):
        # Command implementation
        pass

register_command(MyCommand())