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grok-cli / rules

superagent-ai/grok-cli/.cursor/rules/tools-and-agent.mdc

Guidelines for the agent system and tool implementations

Cursor rule3.5k starsChanged 6 months ago

What's in it

  1. Agent & Tools System
  2. Agent
  3. Agent Loop
  4. Tool Interface
  5. Built-in Tools
  6. Grok Client
  7. Adding a New Tool
---
description: Guidelines for the agent system and tool implementations
globs: "src/agent/**/*.ts,src/tools/**/*.ts,src/grok/**/*.ts"
alwaysApply: false
---

# Agent & Tools System

## Agent

`Agent` (in `src/agent/agent.ts`) is the core orchestrator. It manages:

- The Grok API client (`GrokClient`)
- Bash tool for all shell operations
- Web search and X search via the Responses API
- Chat history and message accumulation
- Abort/cancellation support

### Agent Loop

The agent uses an iterative tool-call pattern via `processMessage` (async generator):

1. Send messages to the LLM via Chat Completions API (streaming).
2. If the response contains `tool_calls`, execute each tool.
3. Append tool results to the message history.
4. Repeat until no tool calls remain or `maxToolRounds` is reached.
5. Yield `StreamChunk` objects for real-time UI updates.

## Tool Interface

All tools return a `ToolResult`:

```typescript
interface ToolResult {
  success: boolean;
  output?: string;
  error?: string;
}
```

Tools should never throw — wrap errors in `{ success: false, error: "..." }`.

## Built-in Tools

| Tool | File | Purpose |
|------|------|---------|
| `BashTool` | `src/tools/bash.ts` | Execute any shell command |
| `search_web` | via `GrokClient.searchWeb()` | Web search using Responses API |
| `search_x` | via `GrokClient.searchX()` | X/Twitter search using Responses API |

## Grok Client

`GrokClient` (in `src/grok/client.ts`) handles two API endpoints:

- **Chat Completions** (`/v1/chat/completions`): Main agent loop with streaming and tool calling
- **Responses API** (`/v1/responses`): X Search and Web Search with server-side tools

## Adding a New Tool

1. Add the tool schema to `src/grok/tools.ts` (in the `TOOLS` array).
2. Add the execution case in `Agent.executeTool()`.
3. Update the system prompt in `Agent` to document the tool.

More agent context in superagent-ai/grok-cli

8 other files this repository gives its agents.

AGENTS.md

Skill

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