添加项目基础文件和目录结构,包括: - 初始化空包目录(bot/agent/orchestrator) - 配置文件(config.py)和示例(keyring.example.yaml) - 依赖文件(requirements.txt) - 主程序入口(main.py) - 调试脚本(debug_test.py) - 文档说明(README.md) - Git忽略文件(.gitignore) - 核心功能模块(pty_process/manager/handler/feishu等)
163 lines
5.4 KiB
Python
163 lines
5.4 KiB
Python
"""LangChain tools that bridge the orchestration agent to Claude Code PTY sessions."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
import uuid
|
|
from pathlib import Path
|
|
from typing import Optional, Type
|
|
|
|
from langchain_core.tools import BaseTool
|
|
from pydantic import BaseModel, Field
|
|
|
|
from agent.manager import manager
|
|
from config import WORKING_DIR
|
|
|
|
|
|
def _resolve_dir(working_dir: str) -> Path:
|
|
"""
|
|
Resolve working_dir to an absolute path under WORKING_DIR.
|
|
|
|
Rules:
|
|
- Absolute paths are used as-is (but must stay within WORKING_DIR for safety).
|
|
- Relative paths / bare names are joined onto WORKING_DIR.
|
|
- The resolved directory is created if it doesn't exist.
|
|
"""
|
|
p = Path(working_dir)
|
|
if not p.is_absolute():
|
|
p = WORKING_DIR / p
|
|
p = p.resolve()
|
|
|
|
# Safety: must be inside WORKING_DIR
|
|
try:
|
|
p.relative_to(WORKING_DIR)
|
|
except ValueError:
|
|
raise ValueError(
|
|
f"Directory {p} is outside the allowed base {WORKING_DIR}. "
|
|
"Please use a subfolder name or a path inside the working directory."
|
|
)
|
|
|
|
p.mkdir(parents=True, exist_ok=True)
|
|
return p
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Input schemas
|
|
# ---------------------------------------------------------------------------
|
|
|
|
class CreateConversationInput(BaseModel):
|
|
working_dir: str = Field(
|
|
...,
|
|
description=(
|
|
"The project directory. Can be a subfolder name (e.g. 'todo_app'), "
|
|
"a relative path (e.g. 'projects/todo_app'), or a full absolute path. "
|
|
"Relative names are resolved under the configured base working directory."
|
|
),
|
|
)
|
|
initial_message: Optional[str] = Field(None, description="Optional first message to send after spawning")
|
|
|
|
|
|
class SendToConversationInput(BaseModel):
|
|
conv_id: str = Field(..., description="Conversation ID returned by create_conversation")
|
|
message: str = Field(..., description="Message / instruction to send to Claude Code")
|
|
|
|
|
|
class CloseConversationInput(BaseModel):
|
|
conv_id: str = Field(..., description="Conversation ID to close")
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Tools
|
|
# ---------------------------------------------------------------------------
|
|
|
|
class CreateConversationTool(BaseTool):
|
|
name: str = "create_conversation"
|
|
description: str = (
|
|
"Spawn a new Claude Code session in the given working directory. "
|
|
"Returns a conv_id that must be used for subsequent messages. "
|
|
"Use this when the user wants to start a new task in a specific directory."
|
|
)
|
|
args_schema: Type[BaseModel] = CreateConversationInput
|
|
|
|
def _run(self, working_dir: str, initial_message: Optional[str] = None) -> str:
|
|
raise NotImplementedError("Use async version")
|
|
|
|
async def _arun(self, working_dir: str, initial_message: Optional[str] = None) -> str:
|
|
try:
|
|
resolved = _resolve_dir(working_dir)
|
|
except ValueError as exc:
|
|
return json.dumps({"error": str(exc)})
|
|
|
|
conv_id = str(uuid.uuid4())[:8]
|
|
await manager.create(conv_id, str(resolved))
|
|
|
|
result: dict = {
|
|
"conv_id": conv_id,
|
|
"working_dir": str(resolved),
|
|
}
|
|
|
|
if initial_message:
|
|
output = await manager.send(conv_id, initial_message)
|
|
result["response"] = output
|
|
else:
|
|
result["status"] = "Session created. Send a message to start working."
|
|
|
|
return json.dumps(result, ensure_ascii=False)
|
|
|
|
|
|
class SendToConversationTool(BaseTool):
|
|
name: str = "send_to_conversation"
|
|
description: str = (
|
|
"Send a message to an existing Claude Code session and return its response. "
|
|
"Use this for follow-up messages in an ongoing session."
|
|
)
|
|
args_schema: Type[BaseModel] = SendToConversationInput
|
|
|
|
def _run(self, conv_id: str, message: str) -> str:
|
|
raise NotImplementedError("Use async version")
|
|
|
|
async def _arun(self, conv_id: str, message: str) -> str:
|
|
try:
|
|
output = await manager.send(conv_id, message)
|
|
return json.dumps({"conv_id": conv_id, "response": output}, ensure_ascii=False)
|
|
except KeyError:
|
|
return json.dumps({"error": f"No active session for conv_id={conv_id!r}"})
|
|
|
|
|
|
class ListConversationsTool(BaseTool):
|
|
name: str = "list_conversations"
|
|
description: str = "List all currently active Claude Code sessions."
|
|
|
|
def _run(self) -> str:
|
|
raise NotImplementedError("Use async version")
|
|
|
|
async def _arun(self) -> str:
|
|
sessions = manager.list_sessions()
|
|
if not sessions:
|
|
return "No active sessions."
|
|
return json.dumps(sessions, ensure_ascii=False, indent=2)
|
|
|
|
|
|
class CloseConversationTool(BaseTool):
|
|
name: str = "close_conversation"
|
|
description: str = "Close and terminate an active Claude Code session."
|
|
args_schema: Type[BaseModel] = CloseConversationInput
|
|
|
|
def _run(self, conv_id: str) -> str:
|
|
raise NotImplementedError("Use async version")
|
|
|
|
async def _arun(self, conv_id: str) -> str:
|
|
closed = await manager.close(conv_id)
|
|
if closed:
|
|
return f"Session {conv_id!r} closed."
|
|
return f"Session {conv_id!r} not found."
|
|
|
|
|
|
# Module-level tool list for easy import
|
|
TOOLS = [
|
|
CreateConversationTool(),
|
|
SendToConversationTool(),
|
|
ListConversationsTool(),
|
|
CloseConversationTool(),
|
|
]
|