@memberjunction/ai-cli

Command-line interface for executing MemberJunction AI agents, prompts, and actions. Built on the oclif framework, it provides both one-shot and interactive modes with rich terminal output, conversation history management, audit logging, and direct database integration.

Note: The standalone mj-ai binary is deprecated. All AI functionality has been integrated into the main MemberJunction CLI. Use mj ai commands instead.

Architecture

graph TD
    subgraph "@memberjunction/ai-cli"
        CLI["oclif CLI Framework<br/>mj-ai binary"]
        style CLI fill:#2d8659,stroke:#1a5c3a,color:#fff

        subgraph "Commands"
            AL["agents list"]
            style AL fill:#7c5295,stroke:#563a6b,color:#fff
            AR["agents run"]
            style AR fill:#7c5295,stroke:#563a6b,color:#fff
            PL["prompts list"]
            style PL fill:#7c5295,stroke:#563a6b,color:#fff
            PRR["prompts run"]
            style PRR fill:#7c5295,stroke:#563a6b,color:#fff
            ACL["actions list"]
            style ACL fill:#7c5295,stroke:#563a6b,color:#fff
            ACR["actions run"]
            style ACR fill:#7c5295,stroke:#563a6b,color:#fff
        end

        subgraph "Services"
            AS["AgentService"]
            style AS fill:#b8762f,stroke:#8a5722,color:#fff
            PS["PromptService"]
            style PS fill:#b8762f,stroke:#8a5722,color:#fff
            ACS["ActionService"]
            style ACS fill:#b8762f,stroke:#8a5722,color:#fff
            CS["ConversationService"]
            style CS fill:#b8762f,stroke:#8a5722,color:#fff
            VS["ValidationService"]
            style VS fill:#b8762f,stroke:#8a5722,color:#fff
            AAS["AgentAuditService"]
            style AAS fill:#b8762f,stroke:#8a5722,color:#fff
        end

        subgraph "Utilities"
            OF["OutputFormatter"]
            style OF fill:#2d6a9f,stroke:#1a4971,color:#fff
            TF["TextFormatter"]
            style TF fill:#2d6a9f,stroke:#1a4971,color:#fff
            CM["ConsoleManager"]
            style CM fill:#2d6a9f,stroke:#1a4971,color:#fff
            EL["ExecutionLogger"]
            style EL fill:#2d6a9f,stroke:#1a4971,color:#fff
        end
    end

    CLI --> AL
    CLI --> AR
    CLI --> PL
    CLI --> PRR
    CLI --> ACL
    CLI --> ACR

    AR --> AS
    PRR --> PS
    ACR --> ACS
    AS --> CS
    AS --> AAS

Installation

npm install -g @memberjunction/ai-cli

Commands

Agent Commands

# List all available agents
mj-ai agents list

# List agents with filtering
mj-ai agents list --filter "sales"

# Run an agent interactively (chat mode)
mj-ai agents run --name "Sales Assistant"

# Run an agent with a single message
mj-ai agents run --name "Data Analyzer" --message "Show Q3 revenue by region"

# Run an agent by ID
mj-ai agents run --id "agent-uuid"

Prompt Commands

# List all available prompts
mj-ai prompts list

# Run a prompt with data
mj-ai prompts run --name "Summarize Content" --data '{"content": "Long text..."}'

# Run a prompt with a file
mj-ai prompts run --name "Analyze Document" --file ./report.txt

Action Commands

# List all available actions
mj-ai actions list

# Run an action with parameters
mj-ai actions run --name "Send Email" --params '{"to": "user@example.com", "subject": "Test"}'

Key Features

Interactive Chat Mode

When running an agent without --message, the CLI enters interactive chat mode with:

• Multi-line input support
• Conversation history across turns
• Real-time progress indicators (spinners)
• Formatted markdown output
• Color-coded output for different message types

Conversation Management

The ConversationService manages conversation state:

• Creates and tracks MJ Conversation entities
• Maintains message history across agent turns
• Supports conversation resumption

Audit Logging

The AgentAuditService provides detailed execution audit trails:

• Token usage tracking per turn
• Cost estimation
• Execution time tracking
• Action execution logging
• Error recording

Output Formatting

Rich terminal output with:

• Markdown rendering via TextFormatter
• Tabular data display via table package
• Color-coded status messages via chalk
• Spinner animations via ora-classic
• Structured JSON output option

Database Integration

Direct SQL Server connection for:

• Loading agent, prompt, and action metadata
• Storing conversation history
• Recording execution logs
• User context resolution

Configuration

Configure via mj.config.cjs, .mjrc, or environment variables:

module.exports = {
    databaseSettings: {
        host: 'localhost',
        port: 1433,
        database: 'MemberJunction',
        username: 'sa',
        password: 'password'
    }
};

Required environment variables:

• DB_HOST, DB_PORT, DB_DATABASE, DB_USERNAME, DB_PASSWORD — Database connection
• AI_VENDOR_API_KEY__OPENAILLM — OpenAI API key (or other provider keys)

Dependencies

• @oclif/core — CLI framework
• @memberjunction/ai-agents — AgentRunner for agent execution
• @memberjunction/ai-prompts — AIPromptRunner for prompt execution
• @memberjunction/ai-core-plus — Shared types
• @memberjunction/ai — Core AI abstractions
• @memberjunction/actions — Action execution
• @memberjunction/core / @memberjunction/core-entities — MJ framework
• @memberjunction/sqlserver-dataprovider — SQL Server data access
• @memberjunction/core-entities-server — Server-side entity extensions
• @inquirer/prompts — Interactive prompts
• chalk — Terminal colors
• ora-classic — Terminal spinners
• table — Tabular output
• cosmiconfig — Configuration loading