# Autonomous Agents: Terminal Execution over Vector DBs

Category: Agent Orchestration
Stack: LangGraph, MCP, Docker Sandbox, Firecracker

## Overview
Providing autonomous coding and data agents with native shell execution environments rather than fragmented text embeddings.

## The Problem
Treating codebases as vector chunks floods agent contexts with fragmented snippets. Agents cannot inspect file trees or verify that generated changes pass tests.

## Production Rule
Provide autonomous agents with an isolated terminal execution container. Equip the agent with direct shell commands (inspection, execution, diffing) rather than passive text search.

## Code / Specification
File: `agent_terminal_tool.json`

```tool schema
{
  "name": "execute_command",
  "description": "Run a shell command inside the sandboxed container. Returns stdout and stderr.",
  "parameters": {
    "type": "object",
    "properties": {
      "command": {
        "type": "string",
        "description": "The exact shell command line string to run."
      },
      "timeout_seconds": {
        "type": "integer",
        "default": 30,
        "description": "Maximum execution duration before process cancellation."
      }
    },
    "required": ["command"]
  }
}
```