ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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"""
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Bash tool - Command execution in persistent shell sessions
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"""
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import time
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import hashlib
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from typing import Dict, Any
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from .base import BaseTool
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class BashTool(BaseTool):
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"""Executes bash commands in persistent shell sessions"""
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@property
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def name(self) -> str:
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return "Bash"
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def _execute_impl(self, params: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Execute bash command in persistent shell
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- Commands execute in a persistent shell session
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- Working directory changes persist across commands
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- Environment variables persist
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- Supports background execution with run_in_background parameter
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- Output truncated if exceeds 30000 characters
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"""
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command = params["command"]
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timeout_ms = params.get("timeout")
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# None/<=0: treat like omit. Exact 0 used to become timeout=0s and drop all output.
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if timeout_ms is None or timeout_ms <= 0:
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timeout_ms = 120000
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timeout = timeout_ms / 1000 # Convert ms to seconds
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run_in_background = params.get("run_in_background", False)
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# Get or create shell session
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shell_id = self.state.default_shell_id
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if shell_id not in self.state.shell_sessions:
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from .shell_session import ShellSession
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self.state.shell_sessions[shell_id] = ShellSession(
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session_id=shell_id,
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current_directory=self.state.current_directory
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)
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session = self.state.shell_sessions[shell_id]
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if run_in_background:
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# Start a separate native-shell process. ShellSession handles the
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# platform-specific invocation and log location.
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bg_id = f"bg_{int(time.time())}_{hashlib.md5(command.encode()).hexdigest()[:8]}"
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pid = session.start_background(command, bg_id)
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return {
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"output": f"Background job started with ID: {bg_id}\nPID: {pid}",
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"exit_code": 0,
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"shell_id": shell_id,
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"background_job_id": bg_id
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}
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else:
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# Execute command synchronously
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output, exit_code = session.execute(command, timeout=timeout)
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# Update system state directory
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self.state.current_directory = session.current_directory
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# Truncate output if too long
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if len(output) > 30000:
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output = output[:30000] + f"\n... (output truncated, {len(output)} total characters)"
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return {
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"output": output,
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"exit_code": exit_code,
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"shell_id": shell_id,
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"working_directory": session.current_directory
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}
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