ra-aid 命令

常用示例

说明

ra-aid is an autonomous AI development companion built on LangGraph that operates in three distinct stages: research, planning, and implementation. It analyzes codebases, formulates strategies, and executes multi-step development tasks with minimal human intervention. The tool uses a structured workflow where it first researches the codebase and task requirements, then creates a detailed plan, and finally implements changes. This staged approach provides transparency and allows developers to review plans before execution. ra-aid supports multiple AI providers (Anthropic, OpenAI, OpenRouter, Gemini, and others) and integrates with shell commands, file editing, and web browsing capabilities to accomplish complex development tasks. The --chat mode enables interactive collaboration where you can guide the agent through tasks conversationally.

参数

-m, --message _MESSAGE_

Task description for the agent.

--provider _PROVIDER_

AI provider to use (anthropic, openai, openrouter, openai-compatible, makehub, gemini).

--model _MODEL_

Specific model to use (required for non-Anthropic providers).

--research-only

Only gather information without making changes.

--chat

Enable interactive chat mode with direct human interaction (implies --hil).

--hil

Enable human-in-the-loop mode for interactive approval.

--cowboy-mode

Skip interactive approval for shell commands.

--auto-test

Automatically run tests after each code change.

--test-cmd _COMMAND_

Custom command to run tests.

--recursion-limit _N_

Maximum recursion depth for agent operations (default: 100).

--show-cost

Display cost information as the agent works.

--max-cost _USD_

Set a maximum cost threshold in USD.

--verbose

Enable verbose output.

--help

Display help information.

--version

Display version information.