agentconnect.cli module

AgentConnect CLI - Command Line Interface for AgentConnect

This module provides command-line functionality for the AgentConnect framework, allowing users to run examples, demos, and access utility functions through a simple command-line interface.

Usage:

agentconnect –version agentconnect –example chat agentconnect –example multi agentconnect –example research agentconnect –example data agentconnect –demo # UI compatibility under development (Windows only) agentconnect –check-env agentconnect –help

Available examples:

chat - Simple chat with an AI assistant multi - Multi-agent e-commerce analysis research - Research assistant with multiple agents data - Data analysis and visualization assistant telegram - Telegram AI Agent with multi-agent capabilities

Note: The demo UI is currently under development and only supported on Windows.

For the best experience, please use the examples instead.

setup_logging(verbose=False)

Configure logging for the CLI.

Parameters:

verbose (bool) – Whether to enable verbose (DEBUG) logging

Return type:

None

parse_args(args=None)

Parse command line arguments.

Parameters:

args (Optional[List[str]]) – Command line arguments. Defaults to sys.argv[1:].

Return type:

Namespace

Returns:

Parsed arguments namespace

async run_example(example_name, verbose=False)

Run a specific example.

Parameters:

  • example_name (str) – Name of the example to run

  • verbose (bool) – Whether to enable verbose logging

Return type:

None

run_demo()

Run the demo application.

Return type:

None

check_environment()

Check that the environment is properly configured.

Verifies API keys, dependencies, and other configuration requirements. At least one LLM provider API key must be set to use the framework.

Return type:

None

main()

Main entry point for the CLI.

Return type:

None