1745 lines
90 KiB
Python
1745 lines
90 KiB
Python
import asyncio
|
||
import json
|
||
from datetime import datetime
|
||
from pathlib import Path
|
||
from typing import Any, Dict, List, Optional, Set
|
||
|
||
try:
|
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from config import (
|
||
OUTPUT_FORMATS, DATA_DIR, PROMPTS_DIR, NEED_CONFIRMATION,
|
||
MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE,
|
||
MAX_READ_FILE_CHARS, READ_TOOL_DEFAULT_MAX_CHARS,
|
||
READ_TOOL_DEFAULT_CONTEXT_BEFORE, READ_TOOL_DEFAULT_CONTEXT_AFTER,
|
||
READ_TOOL_MAX_CONTEXT_BEFORE, READ_TOOL_MAX_CONTEXT_AFTER,
|
||
READ_TOOL_DEFAULT_MAX_MATCHES, READ_TOOL_MAX_MATCHES,
|
||
READ_TOOL_MAX_FILE_SIZE,
|
||
TERMINAL_SANDBOX_MOUNT_PATH,
|
||
TERMINAL_SANDBOX_MODE,
|
||
TERMINAL_SANDBOX_CPUS,
|
||
TERMINAL_SANDBOX_MEMORY,
|
||
PROJECT_MAX_STORAGE_MB,
|
||
CUSTOM_TOOLS_ENABLED,
|
||
)
|
||
except ImportError:
|
||
import sys
|
||
project_root = Path(__file__).resolve().parents[2]
|
||
if str(project_root) not in sys.path:
|
||
sys.path.insert(0, str(project_root))
|
||
from config import (
|
||
OUTPUT_FORMATS, DATA_DIR, PROMPTS_DIR, NEED_CONFIRMATION,
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||
MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE,
|
||
MAX_READ_FILE_CHARS, READ_TOOL_DEFAULT_MAX_CHARS,
|
||
READ_TOOL_DEFAULT_CONTEXT_BEFORE, READ_TOOL_DEFAULT_CONTEXT_AFTER,
|
||
READ_TOOL_MAX_CONTEXT_BEFORE, READ_TOOL_MAX_CONTEXT_AFTER,
|
||
READ_TOOL_DEFAULT_MAX_MATCHES, READ_TOOL_MAX_MATCHES,
|
||
READ_TOOL_MAX_FILE_SIZE,
|
||
TERMINAL_SANDBOX_MOUNT_PATH,
|
||
TERMINAL_SANDBOX_MODE,
|
||
TERMINAL_SANDBOX_CPUS,
|
||
TERMINAL_SANDBOX_MEMORY,
|
||
PROJECT_MAX_STORAGE_MB,
|
||
CUSTOM_TOOLS_ENABLED,
|
||
)
|
||
|
||
from modules.file_manager import FileManager
|
||
from modules.search_engine import SearchEngine
|
||
from modules.terminal_ops import TerminalOperator
|
||
from modules.memory_manager import MemoryManager
|
||
from modules.terminal_manager import TerminalManager
|
||
from modules.todo_manager import TodoManager
|
||
from modules.sub_agent_manager import SubAgentManager
|
||
from modules.webpage_extractor import extract_webpage_content, tavily_extract
|
||
from modules.ocr_client import OCRClient
|
||
from modules.easter_egg_manager import EasterEggManager
|
||
from modules.personalization_manager import (
|
||
load_personalization_config,
|
||
build_personalization_prompt,
|
||
)
|
||
from modules.skills_manager import (
|
||
get_skills_catalog,
|
||
build_skills_list,
|
||
merge_enabled_skills,
|
||
build_skills_prompt,
|
||
)
|
||
from modules.custom_tool_registry import CustomToolRegistry, build_default_tool_category
|
||
from modules.custom_tool_executor import CustomToolExecutor
|
||
|
||
try:
|
||
from config.limits import THINKING_FAST_INTERVAL
|
||
except ImportError:
|
||
THINKING_FAST_INTERVAL = 10
|
||
|
||
from modules.container_monitor import collect_stats, inspect_state
|
||
from core.tool_config import TOOL_CATEGORIES
|
||
from utils.api_client import DeepSeekClient
|
||
from utils.context_manager import ContextManager
|
||
from utils.tool_result_formatter import format_tool_result_for_context
|
||
from utils.logger import setup_logger
|
||
from config.model_profiles import (
|
||
get_model_profile,
|
||
get_model_prompt_replacements,
|
||
get_model_context_window,
|
||
)
|
||
|
||
logger = setup_logger(__name__)
|
||
DISABLE_LENGTH_CHECK = True
|
||
|
||
class MainTerminalToolsMixin:
|
||
def _clamp_int(value, default, min_value=None, max_value=None):
|
||
"""将输入转换为整数并限制范围。"""
|
||
if value is None:
|
||
return default
|
||
try:
|
||
num = int(value)
|
||
except (TypeError, ValueError):
|
||
return default
|
||
if min_value is not None:
|
||
num = max(min_value, num)
|
||
if max_value is not None:
|
||
num = min(max_value, num)
|
||
return num
|
||
|
||
def _parse_optional_line(value, field_name: str):
|
||
"""解析可选的行号参数。"""
|
||
if value is None:
|
||
return None, None
|
||
try:
|
||
number = int(value)
|
||
except (TypeError, ValueError):
|
||
return None, f"{field_name} 必须是整数"
|
||
if number < 1:
|
||
return None, f"{field_name} 必须大于等于1"
|
||
return number, None
|
||
|
||
def _truncate_text_block(text: str, max_chars: int):
|
||
"""对单段文本应用字符限制。"""
|
||
if max_chars and len(text) > max_chars:
|
||
return text[:max_chars], True, max_chars
|
||
return text, False, len(text)
|
||
|
||
def _limit_text_chunks(chunks: List[Dict], text_key: str, max_chars: int):
|
||
"""对多个文本片段应用全局字符限制。"""
|
||
if max_chars is None or max_chars <= 0:
|
||
return chunks, False, sum(len(chunk.get(text_key, "") or "") for chunk in chunks)
|
||
|
||
remaining = max_chars
|
||
limited_chunks: List[Dict] = []
|
||
truncated = False
|
||
consumed = 0
|
||
|
||
for chunk in chunks:
|
||
snippet = chunk.get(text_key, "") or ""
|
||
snippet_len = len(snippet)
|
||
chunk_copy = dict(chunk)
|
||
|
||
if remaining <= 0:
|
||
truncated = True
|
||
break
|
||
|
||
if snippet_len > remaining:
|
||
chunk_copy[text_key] = snippet[:remaining]
|
||
chunk_copy["truncated"] = True
|
||
consumed += remaining
|
||
limited_chunks.append(chunk_copy)
|
||
truncated = True
|
||
remaining = 0
|
||
break
|
||
|
||
limited_chunks.append(chunk_copy)
|
||
consumed += snippet_len
|
||
remaining -= snippet_len
|
||
|
||
return limited_chunks, truncated, consumed
|
||
|
||
def _record_sub_agent_message(self, message: Optional[str], task_id: Optional[str] = None, inline: bool = False):
|
||
"""以 system 消息记录子智能体状态。"""
|
||
if not message:
|
||
return
|
||
if task_id and task_id in self._announced_sub_agent_tasks:
|
||
return
|
||
if task_id:
|
||
self._announced_sub_agent_tasks.add(task_id)
|
||
logger.info(
|
||
"[SubAgent] record message | task=%s | inline=%s | content=%s",
|
||
task_id,
|
||
inline,
|
||
message.replace("\n", "\\n")[:200],
|
||
)
|
||
metadata = {"sub_agent_notice": True, "inline": inline}
|
||
if task_id:
|
||
metadata["task_id"] = task_id
|
||
self.context_manager.add_conversation("system", message, metadata=metadata)
|
||
print(f"{OUTPUT_FORMATS['info']} {message}")
|
||
|
||
def apply_personalization_preferences(self, config: Optional[Dict[str, Any]] = None):
|
||
"""Apply persisted personalization settings that affect runtime behavior."""
|
||
try:
|
||
effective_config = config or load_personalization_config(self.data_dir)
|
||
except Exception:
|
||
effective_config = {}
|
||
|
||
# 工具意图开关
|
||
self.tool_intent_enabled = bool(effective_config.get("tool_intent_enabled"))
|
||
|
||
interval = effective_config.get("thinking_interval")
|
||
if isinstance(interval, int) and interval > 0:
|
||
self.thinking_fast_interval = interval
|
||
else:
|
||
self.thinking_fast_interval = THINKING_FAST_INTERVAL
|
||
|
||
disabled_categories = []
|
||
raw_disabled = effective_config.get("disabled_tool_categories")
|
||
if isinstance(raw_disabled, list):
|
||
disabled_categories = [
|
||
key for key in raw_disabled
|
||
if isinstance(key, str) and key in self.tool_categories_map
|
||
]
|
||
self.default_disabled_tool_categories = disabled_categories
|
||
|
||
# 图片压缩模式传递给上下文
|
||
img_mode = effective_config.get("image_compression")
|
||
if isinstance(img_mode, str):
|
||
self.context_manager.image_compression_mode = img_mode
|
||
|
||
# Reset category states to defaults before applying overrides
|
||
for key, category in self.tool_categories_map.items():
|
||
self.tool_category_states[key] = False if key in disabled_categories else category.default_enabled
|
||
self._refresh_disabled_tools()
|
||
|
||
# 默认模型偏好（优先应用，再处理运行模式）
|
||
preferred_model = effective_config.get("default_model")
|
||
if isinstance(preferred_model, str) and preferred_model != self.model_key:
|
||
try:
|
||
self.set_model(preferred_model)
|
||
except Exception as exc:
|
||
logger.warning("忽略无效默认模型: %s (%s)", preferred_model, exc)
|
||
|
||
preferred_mode = effective_config.get("default_run_mode")
|
||
if isinstance(preferred_mode, str):
|
||
normalized_mode = preferred_mode.strip().lower()
|
||
if normalized_mode in {"fast", "thinking", "deep"} and normalized_mode != self.run_mode:
|
||
try:
|
||
self.set_run_mode(normalized_mode)
|
||
except ValueError:
|
||
logger.warning("忽略无效默认运行模式: %s", preferred_mode)
|
||
|
||
# 静默禁用工具提示
|
||
self.silent_tool_disable = bool(effective_config.get("silent_tool_disable"))
|
||
|
||
def _handle_read_tool(self, arguments: Dict) -> Dict:
|
||
"""集中处理 read_file 工具的三种模式。"""
|
||
file_path = arguments.get("path")
|
||
if not file_path:
|
||
return {"success": False, "error": "缺少文件路径参数"}
|
||
|
||
read_type = (arguments.get("type") or "read").lower()
|
||
if read_type not in {"read", "search", "extract"}:
|
||
return {"success": False, "error": f"未知的读取类型: {read_type}"}
|
||
|
||
max_chars = self._clamp_int(
|
||
arguments.get("max_chars"),
|
||
READ_TOOL_DEFAULT_MAX_CHARS,
|
||
1,
|
||
MAX_READ_FILE_CHARS
|
||
)
|
||
|
||
base_result = {
|
||
"success": True,
|
||
"type": read_type,
|
||
"path": None,
|
||
"encoding": "utf-8",
|
||
"max_chars": max_chars,
|
||
"truncated": False
|
||
}
|
||
|
||
if read_type == "read":
|
||
start_line, error = self._parse_optional_line(arguments.get("start_line"), "start_line")
|
||
if error:
|
||
return {"success": False, "error": error}
|
||
end_line_val = arguments.get("end_line")
|
||
end_line = None
|
||
if end_line_val is not None:
|
||
end_line, error = self._parse_optional_line(end_line_val, "end_line")
|
||
if error:
|
||
return {"success": False, "error": error}
|
||
if start_line and end_line < start_line:
|
||
return {"success": False, "error": "end_line 必须大于等于 start_line"}
|
||
|
||
read_result = self.file_manager.read_text_segment(
|
||
file_path,
|
||
start_line=start_line,
|
||
end_line=end_line,
|
||
size_limit=READ_TOOL_MAX_FILE_SIZE
|
||
)
|
||
if not read_result.get("success"):
|
||
return read_result
|
||
|
||
content, truncated, char_count = self._truncate_text_block(read_result["content"], max_chars)
|
||
base_result.update({
|
||
"path": read_result["path"],
|
||
"content": content,
|
||
"line_start": read_result["line_start"],
|
||
"line_end": read_result["line_end"],
|
||
"total_lines": read_result["total_lines"],
|
||
"file_size": read_result["size"],
|
||
"char_count": char_count,
|
||
"message": f"已读取 {read_result['path']} 的内容（行 {read_result['line_start']}~{read_result['line_end']}）"
|
||
})
|
||
base_result["truncated"] = truncated
|
||
self.context_manager.load_file(read_result["path"])
|
||
return base_result
|
||
|
||
if read_type == "search":
|
||
query = arguments.get("query")
|
||
if not query:
|
||
return {"success": False, "error": "搜索模式需要提供 query 参数"}
|
||
|
||
max_matches = self._clamp_int(
|
||
arguments.get("max_matches"),
|
||
READ_TOOL_DEFAULT_MAX_MATCHES,
|
||
1,
|
||
READ_TOOL_MAX_MATCHES
|
||
)
|
||
context_before = self._clamp_int(
|
||
arguments.get("context_before"),
|
||
READ_TOOL_DEFAULT_CONTEXT_BEFORE,
|
||
0,
|
||
READ_TOOL_MAX_CONTEXT_BEFORE
|
||
)
|
||
context_after = self._clamp_int(
|
||
arguments.get("context_after"),
|
||
READ_TOOL_DEFAULT_CONTEXT_AFTER,
|
||
0,
|
||
READ_TOOL_MAX_CONTEXT_AFTER
|
||
)
|
||
case_sensitive = bool(arguments.get("case_sensitive"))
|
||
|
||
search_result = self.file_manager.search_text(
|
||
file_path,
|
||
query=query,
|
||
max_matches=max_matches,
|
||
context_before=context_before,
|
||
context_after=context_after,
|
||
case_sensitive=case_sensitive,
|
||
size_limit=READ_TOOL_MAX_FILE_SIZE
|
||
)
|
||
if not search_result.get("success"):
|
||
return search_result
|
||
|
||
matches = search_result["matches"]
|
||
limited_matches, truncated, char_count = self._limit_text_chunks(matches, "snippet", max_chars)
|
||
|
||
base_result.update({
|
||
"path": search_result["path"],
|
||
"file_size": search_result["size"],
|
||
"query": query,
|
||
"max_matches": max_matches,
|
||
"actual_matches": len(matches),
|
||
"returned_matches": len(limited_matches),
|
||
"context_before": context_before,
|
||
"context_after": context_after,
|
||
"case_sensitive": case_sensitive,
|
||
"matches": limited_matches,
|
||
"char_count": char_count,
|
||
"message": f"在 {search_result['path']} 中搜索 \"{query}\"，返回 {len(limited_matches)} 条结果"
|
||
})
|
||
base_result["truncated"] = truncated
|
||
return base_result
|
||
|
||
# extract
|
||
segments = arguments.get("segments")
|
||
if not isinstance(segments, list) or not segments:
|
||
return {"success": False, "error": "extract 模式需要提供 segments 数组"}
|
||
|
||
extract_result = self.file_manager.extract_segments(
|
||
file_path,
|
||
segments=segments,
|
||
size_limit=READ_TOOL_MAX_FILE_SIZE
|
||
)
|
||
if not extract_result.get("success"):
|
||
return extract_result
|
||
|
||
limited_segments, truncated, char_count = self._limit_text_chunks(
|
||
extract_result["segments"],
|
||
"content",
|
||
max_chars
|
||
)
|
||
|
||
base_result.update({
|
||
"path": extract_result["path"],
|
||
"segments": limited_segments,
|
||
"file_size": extract_result["size"],
|
||
"total_lines": extract_result["total_lines"],
|
||
"segment_count": len(limited_segments),
|
||
"char_count": char_count,
|
||
"message": f"已从 {extract_result['path']} 抽取 {len(limited_segments)} 个片段"
|
||
})
|
||
base_result["truncated"] = truncated
|
||
self.context_manager.load_file(extract_result["path"])
|
||
return base_result
|
||
|
||
def set_tool_category_enabled(self, category: str, enabled: bool) -> None:
|
||
"""设置工具类别的启用状态 / Toggle tool category enablement."""
|
||
categories = self.tool_categories_map
|
||
if category not in categories:
|
||
raise ValueError(f"未知的工具类别: {category}")
|
||
forced = self.admin_forced_category_states.get(category)
|
||
if isinstance(forced, bool) and forced != enabled:
|
||
raise ValueError("该类别被管理员强制为启用/禁用，无法修改")
|
||
self.tool_category_states[category] = bool(enabled)
|
||
self._refresh_disabled_tools()
|
||
|
||
def set_admin_policy(
|
||
self,
|
||
categories: Optional[Dict[str, "ToolCategory"]] = None,
|
||
forced_category_states: Optional[Dict[str, Optional[bool]]] = None,
|
||
disabled_models: Optional[List[str]] = None,
|
||
) -> None:
|
||
"""应用管理员策略（工具分类、强制开关、模型禁用）。"""
|
||
if categories:
|
||
self.tool_categories_map = dict(categories)
|
||
# 保证自定义工具分类存在（仅当功能启用）
|
||
if self.custom_tools_enabled and "custom" not in self.tool_categories_map:
|
||
self.tool_categories_map["custom"] = type(next(iter(TOOL_CATEGORIES.values())))(
|
||
label="自定义工具",
|
||
tools=[],
|
||
default_enabled=True,
|
||
silent_when_disabled=False,
|
||
)
|
||
# 重新构建启用状态映射，保留已有值
|
||
new_states: Dict[str, bool] = {}
|
||
for key, cat in self.tool_categories_map.items():
|
||
if key in self.tool_category_states:
|
||
new_states[key] = self.tool_category_states[key]
|
||
else:
|
||
new_states[key] = cat.default_enabled
|
||
self.tool_category_states = new_states
|
||
# 清理已被移除的类别
|
||
for removed in list(self.tool_category_states.keys()):
|
||
if removed not in self.tool_categories_map:
|
||
self.tool_category_states.pop(removed, None)
|
||
|
||
self.admin_forced_category_states = forced_category_states or {}
|
||
self.admin_disabled_models = disabled_models or []
|
||
self._refresh_disabled_tools()
|
||
|
||
def get_tool_settings_snapshot(self) -> List[Dict[str, object]]:
|
||
"""获取工具类别状态快照 / Return tool category states snapshot."""
|
||
snapshot: List[Dict[str, object]] = []
|
||
categories = self.tool_categories_map
|
||
for key, category in categories.items():
|
||
forced = self.admin_forced_category_states.get(key)
|
||
enabled = self.tool_category_states.get(key, category.default_enabled)
|
||
if isinstance(forced, bool):
|
||
enabled = forced
|
||
snapshot.append({
|
||
"id": key,
|
||
"label": category.label,
|
||
"enabled": enabled,
|
||
"tools": list(category.tools),
|
||
"locked": isinstance(forced, bool),
|
||
"locked_state": forced if isinstance(forced, bool) else None,
|
||
})
|
||
return snapshot
|
||
|
||
def _refresh_disabled_tools(self) -> None:
|
||
"""刷新禁用工具列表 / Refresh disabled tool set."""
|
||
disabled: Set[str] = set()
|
||
notice: Set[str] = set()
|
||
categories = self.tool_categories_map
|
||
for key, category in categories.items():
|
||
state = self.tool_category_states.get(key, category.default_enabled)
|
||
forced = self.admin_forced_category_states.get(key)
|
||
if isinstance(forced, bool):
|
||
state = forced
|
||
if not state:
|
||
disabled.update(category.tools)
|
||
if not getattr(category, "silent_when_disabled", False):
|
||
notice.update(category.tools)
|
||
self.disabled_tools = disabled
|
||
self.disabled_notice_tools = notice
|
||
|
||
def _format_disabled_tool_notice(self) -> Optional[str]:
|
||
"""生成禁用工具提示信息 / Format disabled tool notice."""
|
||
if getattr(self, "silent_tool_disable", False):
|
||
return None
|
||
if not self.disabled_notice_tools:
|
||
return None
|
||
|
||
lines = ["=== 工具可用性提醒 ==="]
|
||
for tool_name in sorted(self.disabled_notice_tools):
|
||
lines.append(f"{tool_name}：已被用户禁用")
|
||
lines.append("=== 提示结束 ===")
|
||
return "\n".join(lines)
|
||
|
||
def _inject_intent(self, properties: Dict[str, Any]) -> Dict[str, Any]:
|
||
"""在工具参数中注入 intent（简短意图说明），仅当开关启用时。
|
||
|
||
字段含义：要求模型用不超过15个中文字符对即将执行的动作做简要说明，供前端展示。
|
||
"""
|
||
if not self.tool_intent_enabled:
|
||
return properties
|
||
if not isinstance(properties, dict):
|
||
return properties
|
||
intent_field = {
|
||
"intent": {
|
||
"type": "string",
|
||
"description": "用不超过15个字向用户说明你要做什么，例如：等待下载完成/创建日志文件"
|
||
}
|
||
}
|
||
# 将 intent 放在最前面以提高模型关注度
|
||
return {**intent_field, **properties}
|
||
|
||
def _apply_intent_to_tools(self, tools: List[Dict]) -> List[Dict]:
|
||
"""遍历工具列表，为缺少 intent 的工具补充字段（开关启用时生效）。"""
|
||
if not self.tool_intent_enabled:
|
||
return tools
|
||
intent_field = {
|
||
"intent": {
|
||
"type": "string",
|
||
"description": "用不超过15个字向用户说明你要做什么，例如：等待下载完成/创建日志文件/搜索最新新闻"
|
||
}
|
||
}
|
||
for tool in tools:
|
||
func = tool.get("function") or {}
|
||
params = func.get("parameters") or {}
|
||
if not isinstance(params, dict):
|
||
continue
|
||
if params.get("type") != "object":
|
||
continue
|
||
props = params.get("properties")
|
||
if not isinstance(props, dict):
|
||
continue
|
||
# 补充 intent 属性
|
||
if "intent" not in props:
|
||
params["properties"] = {**intent_field, **props}
|
||
# 将 intent 加入必填
|
||
required_list = params.get("required")
|
||
if isinstance(required_list, list):
|
||
if "intent" not in required_list:
|
||
required_list.insert(0, "intent")
|
||
params["required"] = required_list
|
||
else:
|
||
params["required"] = ["intent"]
|
||
return tools
|
||
|
||
def _build_custom_tools(self) -> List[Dict]:
|
||
if not (self.custom_tools_enabled and getattr(self, "user_role", "user") == "admin"):
|
||
return []
|
||
try:
|
||
definitions = self.custom_tool_registry.reload()
|
||
except Exception:
|
||
definitions = self.custom_tool_registry.list_tools()
|
||
if not definitions:
|
||
# 更新分类为空列表，避免旧缓存
|
||
if "custom" in self.tool_categories_map:
|
||
self.tool_categories_map["custom"].tools = []
|
||
return []
|
||
|
||
tools: List[Dict] = []
|
||
tool_ids: List[str] = []
|
||
for item in definitions:
|
||
tool_id = item.get("id")
|
||
if not tool_id:
|
||
continue
|
||
if item.get("invalid_id"):
|
||
# 跳过不合法的工具 ID，避免供应商严格校验时报错
|
||
continue
|
||
tool_ids.append(tool_id)
|
||
params = item.get("parameters") or {"type": "object", "properties": {}}
|
||
if isinstance(params, dict) and params.get("type") != "object":
|
||
params = {"type": "object", "properties": {}}
|
||
required = item.get("required")
|
||
if isinstance(required, list):
|
||
params = dict(params)
|
||
params["required"] = required
|
||
|
||
tools.append({
|
||
"type": "function",
|
||
"function": {
|
||
"name": tool_id,
|
||
"description": item.get("description") or f"自定义工具: {tool_id}",
|
||
"parameters": params
|
||
}
|
||
})
|
||
|
||
# 覆盖 custom 分类的工具列表
|
||
if "custom" in self.tool_categories_map:
|
||
self.tool_categories_map["custom"].tools = tool_ids
|
||
|
||
return tools
|
||
|
||
def define_tools(self) -> List[Dict]:
|
||
"""定义可用工具（添加确认工具）"""
|
||
current_time = datetime.now().strftime("%Y-%m-%d %H")
|
||
|
||
tools = [
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "sleep",
|
||
"description": "等待指定的秒数，用于短暂延迟/节奏控制（例如让终端产生更多输出、或在两次快照之间留出间隔）。命令是否完成必须用 terminal_snapshot 确认；需要强制超时终止请使用 run_command。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"seconds": {
|
||
"type": "number",
|
||
"description": "等待的秒数，可以是小数（如0.2秒）。建议范围：0.1-10秒"
|
||
},
|
||
"reason": {
|
||
"type": "string",
|
||
"description": "等待的原因说明（可选）"
|
||
}
|
||
}),
|
||
"required": ["seconds"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "create_file",
|
||
"description": "创建新文件（仅创建空文件，正文请使用 write_file 或 edit_file 写入/替换）",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "文件路径"},
|
||
"file_type": {"type": "string", "enum": ["txt", "py", "md"], "description": "文件类型"},
|
||
"annotation": {"type": "string", "description": "文件备注"}
|
||
}),
|
||
"required": ["path", "file_type", "annotation"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "write_file",
|
||
"description": "将内容写入本地文件系统；append 为 False 时覆盖原文件，True 时追加到末尾。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"file_path": {
|
||
"type": "string",
|
||
"description": "要写入的相对路径"
|
||
},
|
||
"content": {
|
||
"type": "string",
|
||
"description": "要写入文件的内容"
|
||
},
|
||
"append": {
|
||
"type": "boolean",
|
||
"description": "是否追加到文件而不是覆盖它",
|
||
"default": False
|
||
}
|
||
}),
|
||
"required": ["file_path", "content"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "read_file",
|
||
"description": "读取/搜索/抽取 UTF-8 文本文件内容。通过 type 参数选择 read（阅读）、search（搜索）、extract（具体行段），支持限制返回字符数。若文件非 UTF-8 或过大，请改用 run_python。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "文件路径"},
|
||
"type": {
|
||
"type": "string",
|
||
"enum": ["read", "search", "extract"],
|
||
"description": "读取模式：read=阅读、search=搜索、extract=按行抽取"
|
||
},
|
||
"max_chars": {
|
||
"type": "integer",
|
||
"description": "返回内容的最大字符数，默认与 config 一致"
|
||
},
|
||
"start_line": {
|
||
"type": "integer",
|
||
"description": "[read] 可选的起始行号（1开始）"
|
||
},
|
||
"end_line": {
|
||
"type": "integer",
|
||
"description": "[read] 可选的结束行号（>=start_line）"
|
||
},
|
||
"query": {
|
||
"type": "string",
|
||
"description": "[search] 搜索关键词"
|
||
},
|
||
"max_matches": {
|
||
"type": "integer",
|
||
"description": "[search] 最多返回多少条命中（默认5，最大50）"
|
||
},
|
||
"context_before": {
|
||
"type": "integer",
|
||
"description": "[search] 命中行向上追加的行数（默认1，最大3）"
|
||
},
|
||
"context_after": {
|
||
"type": "integer",
|
||
"description": "[search] 命中行向下追加的行数（默认1，最大5）"
|
||
},
|
||
"case_sensitive": {
|
||
"type": "boolean",
|
||
"description": "[search] 是否区分大小写，默认 false"
|
||
},
|
||
"segments": {
|
||
"type": "array",
|
||
"description": "[extract] 需要抽取的行区间",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"label": {
|
||
"type": "string",
|
||
"description": "该片段的标签（可选）"
|
||
},
|
||
"start_line": {
|
||
"type": "integer",
|
||
"description": "起始行号（>=1）"
|
||
},
|
||
"end_line": {
|
||
"type": "integer",
|
||
"description": "结束行号（>=start_line）"
|
||
}
|
||
},
|
||
"required": ["start_line", "end_line"]
|
||
},
|
||
"minItems": 1
|
||
}
|
||
}),
|
||
"required": ["path", "type"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "edit_file",
|
||
"description": "在文件中执行精确的字符串替换；建议先使用 read_file 获取最新内容以确保精确匹配。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"file_path": {
|
||
"type": "string",
|
||
"description": "要修改文件的相对路径"
|
||
},
|
||
"old_string": {
|
||
"type": "string",
|
||
"description": "要替换的文本（需与文件内容精确匹配，保留缩进）"
|
||
},
|
||
"new_string": {
|
||
"type": "string",
|
||
"description": "用于替换的新文本（必须不同于 old_string）"
|
||
}
|
||
}),
|
||
"required": ["file_path", "old_string", "new_string"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "vlm_analyze",
|
||
"description": "使用大参数视觉语言模型（Qwen3.5）理解图片：文字、物体、布局、表格等，仅支持本地路径。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "项目内的图片相对路径"},
|
||
"prompt": {"type": "string", "description": "传递给 VLM 的中文提示词，如“请总结这张图的内容”“表格的总金额是多少”“图中是什么车？”。"}
|
||
}),
|
||
"required": ["path", "prompt"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "delete_file",
|
||
"description": "删除文件",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "文件路径"}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "rename_file",
|
||
"description": "重命名文件",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"old_path": {"type": "string", "description": "原文件路径"},
|
||
"new_path": {"type": "string", "description": "新文件路径"}
|
||
}),
|
||
"required": ["old_path", "new_path"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "create_folder",
|
||
"description": "创建文件夹",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {"type": "string", "description": "文件夹路径"}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_session",
|
||
"description": "管理持久化终端会话，可打开、关闭、列出或切换终端。请在授权工作区内执行命令，禁止启动需要完整 TTY 的程序（python REPL、vim、top 等）。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"action": {
|
||
"type": "string",
|
||
"enum": ["open", "close", "list", "reset"],
|
||
"description": "操作类型：open-打开新终端，close-关闭终端，list-列出所有终端，reset-重置终端"
|
||
},
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "终端会话名称（open、close、reset时需要）"
|
||
},
|
||
"working_dir": {
|
||
"type": "string",
|
||
"description": "工作目录，相对于项目路径（open时可选）"
|
||
}
|
||
}),
|
||
"required": ["action"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_input",
|
||
"description": "向指定终端发送命令或输入。禁止启动会占用终端界面的程序（python/node/nano/vim 等）；如遇卡死请结合 terminal_snapshot 并使用 terminal_session 的 reset 恢复。timeout 必填：传入数字（秒，最大300）表示本次等待输出的时长，不会封装命令、不会强杀进程；在等待窗口内若检测到命令已完成会提前返回，否则在超时后返回已产生的输出并保持命令继续运行。需要强制超时终止请使用 run_command。\n若不确定上一条命令是否结束，先用 terminal_snapshot 确认后再继续输入。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"command": {
|
||
"type": "string",
|
||
"description": "要执行的命令或发送的输入"
|
||
},
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "目标终端会话名称（必填）"
|
||
},
|
||
"timeout": {
|
||
"type": "number",
|
||
"description": "等待输出的最长秒数，必填，最大300；不会封装命令、不会中断进程"
|
||
}
|
||
}),
|
||
"required": ["command", "timeout", "session_name"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "terminal_snapshot",
|
||
"description": "获取指定终端最近的输出快照，用于判断当前状态。默认返回末尾的50行，可通过参数调整。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"session_name": {
|
||
"type": "string",
|
||
"description": "目标终端会话名称（可选，默认活动终端）"
|
||
},
|
||
"lines": {
|
||
"type": "integer",
|
||
"description": "返回的最大行数（可选）"
|
||
},
|
||
"max_chars": {
|
||
"type": "integer",
|
||
"description": "返回的最大字符数（可选）"
|
||
}
|
||
})
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "web_search",
|
||
"description": f"当现有资料不足时搜索外部信息（当前时间 {current_time}）。调用前说明目的，精准撰写 query，并合理设置时间/主题参数；避免重复或无意义的搜索。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"query": {
|
||
"type": "string",
|
||
"description": "搜索查询内容（不要包含日期或时间范围）"
|
||
},
|
||
"max_results": {
|
||
"type": "integer",
|
||
"description": "最大结果数，可选"
|
||
},
|
||
"topic": {
|
||
"type": "string",
|
||
"description": "搜索主题，可选值：general（默认）/news/finance"
|
||
},
|
||
"time_range": {
|
||
"type": "string",
|
||
"description": "相对时间范围，可选 day/week/month/year，支持缩写 d/w/m/y；与 days 和 start_date/end_date 互斥"
|
||
},
|
||
"days": {
|
||
"type": "integer",
|
||
"description": "最近 N 天，仅当 topic=news 时可用；与 time_range、start_date/end_date 互斥"
|
||
},
|
||
"start_date": {
|
||
"type": "string",
|
||
"description": "开始日期，YYYY-MM-DD；必须与 end_date 同时提供，与 time_range、days 互斥"
|
||
},
|
||
"end_date": {
|
||
"type": "string",
|
||
"description": "结束日期，YYYY-MM-DD；必须与 start_date 同时提供，与 time_range、days 互斥"
|
||
},
|
||
"country": {
|
||
"type": "string",
|
||
"description": "国家过滤，仅 topic=general 可用，使用英文小写国名"
|
||
},
|
||
"include_domains": {
|
||
"type": "array",
|
||
"description": "仅包含这些域名（可选，最多300个）",
|
||
"items": {
|
||
"type": "string"
|
||
}
|
||
}
|
||
}),
|
||
"required": ["query"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "extract_webpage",
|
||
"description": "在 web_search 结果不够详细时提取网页正文。调用前说明用途，注意提取内容会消耗大量 token，超过80000字符将被拒绝。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"url": {"type": "string", "description": "要提取内容的网页URL"}
|
||
}),
|
||
"required": ["url"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "save_webpage",
|
||
"description": "提取网页内容并保存为纯文本文件，适合需要长期留存的长文档。请提供网址与目标路径（含 .txt 后缀），落地后请通过终端命令查看。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"url": {"type": "string", "description": "要保存的网页URL"},
|
||
"target_path": {"type": "string", "description": "保存位置，包含文件名，相对于项目根目录"}
|
||
}),
|
||
"required": ["url", "target_path"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "run_python",
|
||
"description": "执行一次性 Python 脚本，可用于处理二进制或非 UTF-8 文件（如 Excel、Word、PDF、图片），或进行数据分析与验证。必须提供 timeout（最长60秒）；一旦超时，脚本会被打断且无法继续执行（需要重新运行），并返回已捕获输出。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"code": {"type": "string", "description": "Python代码"},
|
||
"timeout": {
|
||
"type": "number",
|
||
"description": "超时时长（秒），必填，最大60"
|
||
}
|
||
}),
|
||
"required": ["code", "timeout"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "run_command",
|
||
"description": "执行一次性终端命令，适合查看文件信息（file/ls/stat/iconv 等）、转换编码或调用 CLI 工具。禁止启动交互式程序；对已聚焦文件仅允许使用 grep -n 等定位命令。必须提供 timeout（最长30秒）；一旦超时，命令**一定会被打断**且无法继续执行（需要重新运行），并返回已捕获输出；输出超过10000字符将被截断或拒绝。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"command": {"type": "string", "description": "终端命令"},
|
||
"timeout": {
|
||
"type": "number",
|
||
"description": "超时时长（秒），必填，最大30"
|
||
}
|
||
}),
|
||
"required": ["command", "timeout"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "update_memory",
|
||
"description": "按条目更新记忆列表（自动编号）。append 追加新条目；replace 用序号替换；delete 用序号删除。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"memory_type": {"type": "string", "enum": ["main", "task"], "description": "记忆类型"},
|
||
"content": {"type": "string", "description": "条目内容。append/replace 时必填"},
|
||
"operation": {"type": "string", "enum": ["append", "replace", "delete"], "description": "操作类型"},
|
||
"index": {"type": "integer", "description": "要替换/删除的序号（从1开始）"}
|
||
}),
|
||
"required": ["memory_type", "operation"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "todo_create",
|
||
"description": "创建待办列表，最多 8 条任务；若已有列表将被覆盖。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"overview": {"type": "string", "description": "一句话概述待办清单要完成的目标，50 字以内。"},
|
||
"tasks": {
|
||
"type": "array",
|
||
"description": "任务列表，1~8 条，每条写清“动词+对象+目标”。",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"title": {"type": "string", "description": "单个任务描述，写成可执行的步骤"}
|
||
},
|
||
"required": ["title"]
|
||
},
|
||
"minItems": 1,
|
||
"maxItems": 8
|
||
}
|
||
}),
|
||
"required": ["overview", "tasks"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "todo_update_task",
|
||
"description": "批量勾选或取消任务（支持单个或多个任务）；全部勾选时提示所有任务已完成。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"task_index": {"type": "integer", "description": "任务序号（1-8），兼容旧参数"},
|
||
"task_indices": {
|
||
"type": "array",
|
||
"items": {"type": "integer"},
|
||
"minItems": 1,
|
||
"maxItems": 8,
|
||
"description": "要更新的任务序号列表（1-8），可一次勾选多个"
|
||
},
|
||
"completed": {"type": "boolean", "description": "true=打勾，false=取消"}
|
||
}),
|
||
"required": ["completed"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "close_sub_agent",
|
||
"description": "强制关闭指定子智能体，适用于长时间无响应、超时或卡死的任务。使用前请确认必要的日志/文件已保留，操作会立即终止该任务。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"task_id": {"type": "string", "description": "子智能体任务ID"},
|
||
"agent_id": {"type": "integer", "description": "子智能体编号（1~5），若缺少 task_id 可用"}
|
||
})
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "create_sub_agent",
|
||
"description": "创建新的子智能体任务。适合大规模信息搜集、网页提取与多文档总结等会占用大量上下文的工作，需要提供任务摘要、详细要求、交付目录以及参考文件。注意：同一时间最多运行5个子智能体。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"agent_id": {"type": "integer", "description": "子智能体代号（1~5）"},
|
||
"summary": {"type": "string", "description": "任务摘要，简要说明目标"},
|
||
"task": {"type": "string", "description": "任务详细要求"},
|
||
"target_dir": {"type": "string", "description": "项目下用于接收交付的相对目录"},
|
||
"reference_files": {
|
||
"type": "array",
|
||
"description": "提供给子智能体的参考文件列表（相对路径），禁止在summary和task中直接告知子智能体引用图片的路径，必须使用本参数提供",
|
||
"items": {"type": "string"},
|
||
"maxItems": 10
|
||
},
|
||
"timeout_seconds": {"type": "integer", "description": "子智能体最大运行秒数：单/双次搜索建议180秒，多轮搜索整理建议300秒，深度调研或长篇分析可设600秒"}
|
||
}),
|
||
"required": ["agent_id", "summary", "task", "target_dir"]
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "wait_sub_agent",
|
||
"description": "等待指定子智能体任务结束（或超时）。任务完成后会返回交付目录，并将结果复制到指定的项目文件夹。调用时 `timeout_seconds` 应不少于对应子智能体的 `timeout_seconds`，否则可能提前终止等待。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"task_id": {"type": "string", "description": "子智能体任务ID"},
|
||
"agent_id": {"type": "integer", "description": "子智能体代号（可选，用于缺省 task_id 的情况）"},
|
||
"timeout_seconds": {"type": "integer", "description": "本次等待的超时时长（秒）"}
|
||
}),
|
||
"required": []
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"type": "function",
|
||
"function": {
|
||
"name": "trigger_easter_egg",
|
||
"description": "触发隐藏彩蛋，用于展示非功能性特效。需指定 effect 参数，例如 flood（灌水）或 snake（贪吃蛇）。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"effect": {
|
||
"type": "string",
|
||
"description": "彩蛋标识，目前支持 flood（灌水）与 snake（贪吃蛇）。"
|
||
}
|
||
}),
|
||
"required": ["effect"]
|
||
}
|
||
}
|
||
}
|
||
]
|
||
# 视觉模型（Qwen3.5 / Kimi-k2.5）自带多模态能力，不再暴露 vlm_analyze，改为 view_image / view_video
|
||
if getattr(self, "model_key", None) in {"qwen3-vl-plus", "kimi-k2.5"}:
|
||
tools = [
|
||
tool for tool in tools
|
||
if (tool.get("function") or {}).get("name") != "vlm_analyze"
|
||
]
|
||
tools.append({
|
||
"type": "function",
|
||
"function": {
|
||
"name": "view_image",
|
||
"description": "将指定本地图片附加到工具结果中（tool 消息携带 image_url），便于模型主动查看图片内容。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {
|
||
"type": "string",
|
||
"description": "项目内的图片相对路径（不要以 /workspace 开头）；宿主机模式可用绝对路径。支持 png/jpg/webp/gif/bmp/svg。"
|
||
}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
})
|
||
tools.append({
|
||
"type": "function",
|
||
"function": {
|
||
"name": "view_video",
|
||
"description": "将指定本地视频附加到工具结果中（tool 消息携带 video_url），便于模型查看视频内容。",
|
||
"parameters": {
|
||
"type": "object",
|
||
"properties": self._inject_intent({
|
||
"path": {
|
||
"type": "string",
|
||
"description": "项目内的视频相对路径（不要以 /workspace 开头）；宿主机模式可用绝对路径。支持 mp4/mov/mkv/avi/webm。"
|
||
}
|
||
}),
|
||
"required": ["path"]
|
||
}
|
||
}
|
||
})
|
||
# 附加自定义工具（仅管理员可见）
|
||
custom_tools = self._build_custom_tools()
|
||
if custom_tools:
|
||
tools.extend(custom_tools)
|
||
if self.disabled_tools:
|
||
tools = [
|
||
tool for tool in tools
|
||
if tool.get("function", {}).get("name") not in self.disabled_tools
|
||
]
|
||
return self._apply_intent_to_tools(tools)
|
||
|
||
async def handle_tool_call(self, tool_name: str, arguments: Dict) -> str:
|
||
"""处理工具调用（添加参数预检查和改进错误处理）"""
|
||
# 导入字符限制配置
|
||
from config import (
|
||
MAX_READ_FILE_CHARS,
|
||
MAX_RUN_COMMAND_CHARS, MAX_EXTRACT_WEBPAGE_CHARS
|
||
)
|
||
|
||
# 检查是否需要确认
|
||
if tool_name in NEED_CONFIRMATION:
|
||
if not await self.confirm_action(tool_name, arguments):
|
||
return json.dumps({"success": False, "error": "用户取消操作"})
|
||
|
||
# === 新增：预检查参数大小和格式 ===
|
||
try:
|
||
# 检查参数总大小
|
||
arguments_str = json.dumps(arguments, ensure_ascii=False)
|
||
if len(arguments_str) > 200000: # 200KB限制
|
||
return json.dumps({
|
||
"success": False,
|
||
"error": f"参数过大({len(arguments_str)}字符)，超过200KB限制",
|
||
"suggestion": "请分块处理或减少参数内容"
|
||
}, ensure_ascii=False)
|
||
|
||
# 针对特定工具的内容检查
|
||
if tool_name == "write_file":
|
||
content = arguments.get("content", "")
|
||
length_limit = 200000
|
||
if not DISABLE_LENGTH_CHECK and len(content) > length_limit:
|
||
return json.dumps({
|
||
"success": False,
|
||
"error": f"文件内容过长({len(content)}字符)，超过{length_limit}字符限制",
|
||
"suggestion": "请分块写入，或设置 append=true 多次写入"
|
||
}, ensure_ascii=False)
|
||
if '\\' in content and content.count('\\') > len(content) / 10:
|
||
print(f"{OUTPUT_FORMATS['warning']} 检测到大量转义字符，可能存在格式问题")
|
||
|
||
except Exception as e:
|
||
return json.dumps({
|
||
"success": False,
|
||
"error": f"参数预检查失败: {str(e)}"
|
||
}, ensure_ascii=False)
|
||
|
||
# 自定义工具预解析（仅管理员）
|
||
custom_tool = None
|
||
if self.custom_tools_enabled and getattr(self, "user_role", "user") == "admin":
|
||
try:
|
||
self.custom_tool_registry.reload()
|
||
except Exception:
|
||
pass
|
||
custom_tool = self.custom_tool_registry.get_tool(tool_name)
|
||
|
||
try:
|
||
if custom_tool:
|
||
result = await self.custom_tool_executor.run(tool_name, arguments)
|
||
elif tool_name == "read_file":
|
||
result = self._handle_read_tool(arguments)
|
||
elif tool_name in {"vlm_analyze", "ocr_image"}:
|
||
path = arguments.get("path")
|
||
prompt = arguments.get("prompt")
|
||
if not path:
|
||
return json.dumps({"success": False, "error": "缺少 path 参数", "warnings": []}, ensure_ascii=False)
|
||
result = self.ocr_client.vlm_analyze(path=path, prompt=prompt or "")
|
||
elif tool_name == "view_image":
|
||
path = (arguments.get("path") or "").strip()
|
||
if not path:
|
||
return json.dumps({"success": False, "error": "path 不能为空"}, ensure_ascii=False)
|
||
host_unrestricted = self._is_host_mode()
|
||
if path.startswith("/workspace"):
|
||
if host_unrestricted:
|
||
path = path.split("/workspace", 1)[1].lstrip("/")
|
||
else:
|
||
return json.dumps({"success": False, "error": "非法路径，超出项目根目录，请使用不带/workspace的相对路径"}, ensure_ascii=False)
|
||
if host_unrestricted and (Path(path).is_absolute() or (len(path) > 1 and path[1] == ":")):
|
||
abs_path = Path(path).expanduser().resolve()
|
||
else:
|
||
abs_path = (Path(self.context_manager.project_path) / path).resolve()
|
||
if not host_unrestricted:
|
||
try:
|
||
abs_path.relative_to(Path(self.context_manager.project_path).resolve())
|
||
except Exception:
|
||
return json.dumps({"success": False, "error": "非法路径，超出项目根目录，请使用不带/workspace的相对路径"}, ensure_ascii=False)
|
||
if not abs_path.exists() or not abs_path.is_file():
|
||
return json.dumps({"success": False, "error": f"图片不存在: {path}"}, ensure_ascii=False)
|
||
if abs_path.stat().st_size > 10 * 1024 * 1024:
|
||
return json.dumps({"success": False, "error": "图片过大，需 <= 10MB"}, ensure_ascii=False)
|
||
allowed_ext = {".png", ".jpg", ".jpeg", ".webp", ".gif", ".bmp", ".svg"}
|
||
if abs_path.suffix.lower() not in allowed_ext:
|
||
return json.dumps({"success": False, "error": f"不支持的图片格式: {abs_path.suffix}"}, ensure_ascii=False)
|
||
# 记录待附加图片，供上层将图片附加到工具结果
|
||
self.pending_image_view = {
|
||
"path": str(path)
|
||
}
|
||
result = {"success": True, "message": "图片已附加到工具结果中，将随 tool 返回。", "path": path}
|
||
elif tool_name == "view_video":
|
||
path = (arguments.get("path") or "").strip()
|
||
if not path:
|
||
return json.dumps({"success": False, "error": "path 不能为空"}, ensure_ascii=False)
|
||
host_unrestricted = self._is_host_mode()
|
||
if path.startswith("/workspace"):
|
||
if host_unrestricted:
|
||
path = path.split("/workspace", 1)[1].lstrip("/")
|
||
else:
|
||
return json.dumps({"success": False, "error": "非法路径，超出项目根目录，请使用相对路径"}, ensure_ascii=False)
|
||
if host_unrestricted and (Path(path).is_absolute() or (len(path) > 1 and path[1] == ":")):
|
||
abs_path = Path(path).expanduser().resolve()
|
||
else:
|
||
abs_path = (Path(self.context_manager.project_path) / path).resolve()
|
||
if not host_unrestricted:
|
||
try:
|
||
abs_path.relative_to(Path(self.context_manager.project_path).resolve())
|
||
except Exception:
|
||
return json.dumps({"success": False, "error": "非法路径，超出项目根目录，请使用相对路径"}, ensure_ascii=False)
|
||
if not abs_path.exists() or not abs_path.is_file():
|
||
return json.dumps({"success": False, "error": f"视频不存在: {path}"}, ensure_ascii=False)
|
||
allowed_ext = {".mp4", ".mov", ".mkv", ".avi", ".webm"}
|
||
if abs_path.suffix.lower() not in allowed_ext:
|
||
return json.dumps({"success": False, "error": f"不支持的视频格式: {abs_path.suffix}"}, ensure_ascii=False)
|
||
if abs_path.stat().st_size > 50 * 1024 * 1024:
|
||
return json.dumps({"success": False, "error": "视频过大，需 <= 50MB"}, ensure_ascii=False)
|
||
self.pending_video_view = {"path": str(path)}
|
||
result = {
|
||
"success": True,
|
||
"message": "视频已附加到工具结果中，将随 tool 返回。",
|
||
"path": path
|
||
}
|
||
|
||
# 终端会话管理工具
|
||
elif tool_name == "terminal_session":
|
||
action = arguments["action"]
|
||
|
||
if action == "open":
|
||
result = self.terminal_manager.open_terminal(
|
||
session_name=arguments.get("session_name", "default"),
|
||
working_dir=arguments.get("working_dir"),
|
||
make_active=True
|
||
)
|
||
if result["success"]:
|
||
print(f"{OUTPUT_FORMATS['session']} 终端会话已打开: {arguments.get('session_name', 'default')}")
|
||
|
||
elif action == "close":
|
||
result = self.terminal_manager.close_terminal(
|
||
session_name=arguments.get("session_name", "default")
|
||
)
|
||
if result["success"]:
|
||
print(f"{OUTPUT_FORMATS['session']} 终端会话已关闭: {arguments.get('session_name', 'default')}")
|
||
|
||
elif action == "list":
|
||
result = self.terminal_manager.list_terminals()
|
||
|
||
elif action == "reset":
|
||
result = self.terminal_manager.reset_terminal(
|
||
session_name=arguments.get("session_name")
|
||
)
|
||
if result["success"]:
|
||
print(f"{OUTPUT_FORMATS['session']} 终端会话已重置: {result['session']}")
|
||
|
||
else:
|
||
result = {"success": False, "error": f"未知操作: {action}"}
|
||
result["action"] = action
|
||
|
||
# 终端输入工具
|
||
elif tool_name == "terminal_input":
|
||
result = self.terminal_manager.send_to_terminal(
|
||
command=arguments["command"],
|
||
session_name=arguments.get("session_name"),
|
||
timeout=arguments.get("timeout")
|
||
)
|
||
if result["success"]:
|
||
print(f"{OUTPUT_FORMATS['terminal']} 执行命令: {arguments['command']}")
|
||
|
||
elif tool_name == "terminal_snapshot":
|
||
result = self.terminal_manager.get_terminal_snapshot(
|
||
session_name=arguments.get("session_name"),
|
||
lines=arguments.get("lines"),
|
||
max_chars=arguments.get("max_chars")
|
||
)
|
||
|
||
# sleep工具
|
||
elif tool_name == "sleep":
|
||
seconds = arguments.get("seconds", 1)
|
||
reason = arguments.get("reason", "等待操作完成")
|
||
|
||
# 限制最大等待时间
|
||
max_sleep = 600 # 最多等待60秒
|
||
if seconds > max_sleep:
|
||
result = {
|
||
"success": False,
|
||
"error": f"等待时间过长，最多允许 {max_sleep} 秒",
|
||
"suggestion": f"建议分多次等待或减少等待时间"
|
||
}
|
||
else:
|
||
# 确保秒数为正数
|
||
if seconds <= 0:
|
||
result = {
|
||
"success": False,
|
||
"error": "等待时间必须大于0"
|
||
}
|
||
else:
|
||
print(f"{OUTPUT_FORMATS['info']} 等待 {seconds} 秒: {reason}")
|
||
|
||
# 执行等待
|
||
import asyncio
|
||
await asyncio.sleep(seconds)
|
||
|
||
result = {
|
||
"success": True,
|
||
"message": f"已等待 {seconds} 秒",
|
||
"reason": reason,
|
||
"timestamp": datetime.now().isoformat()
|
||
}
|
||
|
||
print(f"{OUTPUT_FORMATS['success']} 等待完成")
|
||
|
||
elif tool_name == "create_file":
|
||
result = self.file_manager.create_file(
|
||
path=arguments["path"],
|
||
file_type=arguments["file_type"]
|
||
)
|
||
# 添加备注
|
||
if result["success"] and arguments.get("annotation"):
|
||
self.context_manager.update_annotation(
|
||
result["path"],
|
||
arguments["annotation"]
|
||
)
|
||
if result.get("success"):
|
||
result["message"] = (
|
||
f"已创建空文件: {result['path']}。请使用 write_file 写入内容，或使用 edit_file 进行替换。"
|
||
)
|
||
|
||
elif tool_name == "delete_file":
|
||
result = self.file_manager.delete_file(arguments["path"])
|
||
# 如果删除成功，同时删除备注
|
||
if result.get("success") and result.get("action") == "deleted":
|
||
deleted_path = result.get("path")
|
||
# 删除备注
|
||
if deleted_path in self.context_manager.file_annotations:
|
||
del self.context_manager.file_annotations[deleted_path]
|
||
self.context_manager.save_annotations()
|
||
print(f"🧹 已删除文件备注: {deleted_path}")
|
||
|
||
elif tool_name == "rename_file":
|
||
result = self.file_manager.rename_file(
|
||
arguments["old_path"],
|
||
arguments["new_path"]
|
||
)
|
||
# 如果重命名成功，更新备注和聚焦的key
|
||
# 如果重命名成功，更新备注
|
||
if result.get("success") and result.get("action") == "renamed":
|
||
old_path = result.get("old_path")
|
||
new_path = result.get("new_path")
|
||
# 更新备注
|
||
if old_path in self.context_manager.file_annotations:
|
||
annotation = self.context_manager.file_annotations[old_path]
|
||
del self.context_manager.file_annotations[old_path]
|
||
self.context_manager.file_annotations[new_path] = annotation
|
||
self.context_manager.save_annotations()
|
||
print(f"📝 已更新文件备注: {old_path} -> {new_path}")
|
||
|
||
elif tool_name == "write_file":
|
||
path = arguments.get("file_path")
|
||
content = arguments.get("content", "")
|
||
append_flag = bool(arguments.get("append", False))
|
||
if not path:
|
||
result = {"success": False, "error": "缺少必要参数: file_path"}
|
||
else:
|
||
mode = "a" if append_flag else "w"
|
||
result = self.file_manager.write_file(path, content, mode=mode)
|
||
|
||
elif tool_name == "edit_file":
|
||
path = arguments.get("file_path")
|
||
old_text = arguments.get("old_string")
|
||
new_text = arguments.get("new_string")
|
||
if not path:
|
||
result = {"success": False, "error": "缺少必要参数: file_path"}
|
||
elif old_text is None or new_text is None:
|
||
result = {"success": False, "error": "缺少必要参数: old_string/new_string"}
|
||
elif old_text == new_text:
|
||
result = {"success": False, "error": "old_string 与 new_string 相同，无法执行替换"}
|
||
elif not old_text:
|
||
result = {"success": False, "error": "old_string 不能为空，请从 read_file 内容中精确复制"}
|
||
else:
|
||
result = self.file_manager.replace_in_file(path, old_text, new_text)
|
||
elif tool_name == "create_folder":
|
||
result = self.file_manager.create_folder(arguments["path"])
|
||
|
||
elif tool_name == "web_search":
|
||
allowed, quota_info = self.record_search_call()
|
||
if not allowed:
|
||
return json.dumps({
|
||
"success": False,
|
||
"error": f"搜索配额已用尽，将在 {quota_info.get('reset_at')} 重置。请向用户说明情况并提供替代方案。",
|
||
"quota": quota_info
|
||
}, ensure_ascii=False)
|
||
search_response = await self.search_engine.search_with_summary(
|
||
query=arguments["query"],
|
||
max_results=arguments.get("max_results"),
|
||
topic=arguments.get("topic"),
|
||
time_range=arguments.get("time_range"),
|
||
days=arguments.get("days"),
|
||
start_date=arguments.get("start_date"),
|
||
end_date=arguments.get("end_date"),
|
||
country=arguments.get("country"),
|
||
include_domains=arguments.get("include_domains")
|
||
)
|
||
|
||
if search_response["success"]:
|
||
result = {
|
||
"success": True,
|
||
"summary": search_response["summary"],
|
||
"filters": search_response.get("filters", {}),
|
||
"query": search_response.get("query"),
|
||
"results": search_response.get("results", []),
|
||
"total_results": search_response.get("total_results", 0)
|
||
}
|
||
else:
|
||
result = {
|
||
"success": False,
|
||
"error": search_response.get("error", "搜索失败"),
|
||
"filters": search_response.get("filters", {}),
|
||
"query": search_response.get("query"),
|
||
"results": search_response.get("results", []),
|
||
"total_results": search_response.get("total_results", 0)
|
||
}
|
||
|
||
elif tool_name == "extract_webpage":
|
||
url = arguments["url"]
|
||
try:
|
||
# 从config获取API密钥
|
||
from config import TAVILY_API_KEY
|
||
full_content, _ = await extract_webpage_content(
|
||
urls=url,
|
||
api_key=TAVILY_API_KEY,
|
||
extract_depth="basic",
|
||
max_urls=1
|
||
)
|
||
|
||
# 字符数检查
|
||
char_count = len(full_content)
|
||
if char_count > MAX_EXTRACT_WEBPAGE_CHARS:
|
||
result = {
|
||
"success": False,
|
||
"error": f"网页提取返回了过长的{char_count}字符，请不要提取这个网页，可以使用网页保存功能，然后使用read工具查找或查看网页",
|
||
"char_count": char_count,
|
||
"limit": MAX_EXTRACT_WEBPAGE_CHARS,
|
||
"url": url
|
||
}
|
||
else:
|
||
result = {
|
||
"success": True,
|
||
"url": url,
|
||
"content": full_content
|
||
}
|
||
except Exception as e:
|
||
result = {
|
||
"success": False,
|
||
"error": f"网页提取失败: {str(e)}",
|
||
"url": url
|
||
}
|
||
|
||
elif tool_name == "save_webpage":
|
||
url = arguments["url"]
|
||
target_path = arguments["target_path"]
|
||
try:
|
||
from config import TAVILY_API_KEY
|
||
except ImportError:
|
||
TAVILY_API_KEY = None
|
||
|
||
if not TAVILY_API_KEY or TAVILY_API_KEY == "your-tavily-api-key":
|
||
result = {
|
||
"success": False,
|
||
"error": "Tavily API密钥未配置，无法保存网页",
|
||
"url": url,
|
||
"path": target_path
|
||
}
|
||
else:
|
||
try:
|
||
extract_result = await tavily_extract(
|
||
urls=url,
|
||
api_key=TAVILY_API_KEY,
|
||
extract_depth="basic",
|
||
max_urls=1
|
||
)
|
||
|
||
if not extract_result or "error" in extract_result:
|
||
error_message = extract_result.get("error", "提取失败，未返回任何内容") if isinstance(extract_result, dict) else "提取失败"
|
||
result = {
|
||
"success": False,
|
||
"error": error_message,
|
||
"url": url,
|
||
"path": target_path
|
||
}
|
||
else:
|
||
results_list = extract_result.get("results", []) if isinstance(extract_result, dict) else []
|
||
|
||
primary_result = None
|
||
for item in results_list:
|
||
if item.get("raw_content"):
|
||
primary_result = item
|
||
break
|
||
if primary_result is None and results_list:
|
||
primary_result = results_list[0]
|
||
|
||
if not primary_result:
|
||
failed_list = extract_result.get("failed_results", []) if isinstance(extract_result, dict) else []
|
||
result = {
|
||
"success": False,
|
||
"error": "提取成功结果为空，无法保存",
|
||
"url": url,
|
||
"path": target_path,
|
||
"failed": failed_list
|
||
}
|
||
else:
|
||
content_to_save = primary_result.get("raw_content") or primary_result.get("content") or ""
|
||
|
||
if not content_to_save:
|
||
result = {
|
||
"success": False,
|
||
"error": "网页内容为空，未写入文件",
|
||
"url": url,
|
||
"path": target_path
|
||
}
|
||
else:
|
||
write_result = self.file_manager.write_file(target_path, content_to_save, mode="w")
|
||
|
||
if not write_result.get("success"):
|
||
result = {
|
||
"success": False,
|
||
"error": write_result.get("error", "写入文件失败"),
|
||
"url": url,
|
||
"path": target_path
|
||
}
|
||
else:
|
||
char_count = len(content_to_save)
|
||
byte_size = len(content_to_save.encode("utf-8"))
|
||
result = {
|
||
"success": True,
|
||
"url": url,
|
||
"path": write_result.get("path", target_path),
|
||
"char_count": char_count,
|
||
"byte_size": byte_size,
|
||
"message": f"网页内容已以纯文本保存到 {write_result.get('path', target_path)}，可用 read_file 的 search/extract 查看，必要时再用终端命令。"
|
||
}
|
||
|
||
if isinstance(extract_result, dict) and extract_result.get("failed_results"):
|
||
result["warnings"] = extract_result["failed_results"]
|
||
|
||
except Exception as e:
|
||
result = {
|
||
"success": False,
|
||
"error": f"网页保存失败: {str(e)}",
|
||
"url": url,
|
||
"path": target_path
|
||
}
|
||
|
||
elif tool_name == "run_python":
|
||
result = await self.terminal_ops.run_python_code(
|
||
arguments["code"],
|
||
timeout=arguments.get("timeout")
|
||
)
|
||
|
||
elif tool_name == "run_command":
|
||
result = await self.terminal_ops.run_command(
|
||
arguments["command"],
|
||
timeout=arguments.get("timeout")
|
||
)
|
||
|
||
# 字符数检查
|
||
if result.get("success") and "output" in result:
|
||
char_count = len(result["output"])
|
||
if char_count > MAX_RUN_COMMAND_CHARS:
|
||
result = {
|
||
"success": False,
|
||
"error": f"结果内容过大，有{char_count}字符，请使用限制字符数的获取内容方式，根据程度选择10k以内的数",
|
||
"char_count": char_count,
|
||
"limit": MAX_RUN_COMMAND_CHARS,
|
||
"command": arguments["command"]
|
||
}
|
||
|
||
elif tool_name == "update_memory":
|
||
memory_type = arguments["memory_type"]
|
||
operation = arguments["operation"]
|
||
content = arguments.get("content")
|
||
index = arguments.get("index")
|
||
|
||
# 参数校验
|
||
if operation == "append" and (not content or not str(content).strip()):
|
||
result = {"success": False, "error": "append 操作需要 content"}
|
||
elif operation == "replace" and (index is None or index <= 0 or not content or not str(content).strip()):
|
||
result = {"success": False, "error": "replace 操作需要有效的 index 和 content"}
|
||
elif operation == "delete" and (index is None or index <= 0):
|
||
result = {"success": False, "error": "delete 操作需要有效的 index"}
|
||
else:
|
||
result = self.memory_manager.update_entries(
|
||
memory_type=memory_type,
|
||
operation=operation,
|
||
content=content,
|
||
index=index
|
||
)
|
||
|
||
elif tool_name == "todo_create":
|
||
result = self.todo_manager.create_todo_list(
|
||
overview=arguments.get("overview", ""),
|
||
tasks=arguments.get("tasks", [])
|
||
)
|
||
|
||
elif tool_name == "todo_update_task":
|
||
task_indices = arguments.get("task_indices")
|
||
if task_indices is None:
|
||
task_indices = arguments.get("task_index")
|
||
result = self.todo_manager.update_task_status(
|
||
task_indices=task_indices,
|
||
completed=arguments.get("completed", True)
|
||
)
|
||
|
||
elif tool_name == "create_sub_agent":
|
||
result = self.sub_agent_manager.create_sub_agent(
|
||
agent_id=arguments.get("agent_id"),
|
||
summary=arguments.get("summary", ""),
|
||
task=arguments.get("task", ""),
|
||
target_dir=arguments.get("target_dir", ""),
|
||
reference_files=arguments.get("reference_files", []),
|
||
timeout_seconds=arguments.get("timeout_seconds"),
|
||
conversation_id=self.context_manager.current_conversation_id
|
||
)
|
||
|
||
elif tool_name == "wait_sub_agent":
|
||
wait_timeout = arguments.get("timeout_seconds")
|
||
if not wait_timeout:
|
||
task_ref = self.sub_agent_manager.lookup_task(
|
||
task_id=arguments.get("task_id"),
|
||
agent_id=arguments.get("agent_id")
|
||
)
|
||
if task_ref:
|
||
wait_timeout = task_ref.get("timeout_seconds")
|
||
result = self.sub_agent_manager.wait_for_completion(
|
||
task_id=arguments.get("task_id"),
|
||
agent_id=arguments.get("agent_id"),
|
||
timeout_seconds=wait_timeout
|
||
)
|
||
|
||
elif tool_name == "close_sub_agent":
|
||
result = self.sub_agent_manager.terminate_sub_agent(
|
||
task_id=arguments.get("task_id"),
|
||
agent_id=arguments.get("agent_id")
|
||
)
|
||
|
||
elif tool_name == "trigger_easter_egg":
|
||
result = self.easter_egg_manager.trigger_effect(arguments.get("effect"))
|
||
|
||
else:
|
||
result = {"success": False, "error": f"未知工具: {tool_name}"}
|
||
|
||
except Exception as e:
|
||
logger.error(f"工具执行失败: {tool_name} - {e}")
|
||
result = {"success": False, "error": f"工具执行异常: {str(e)}"}
|
||
|
||
return json.dumps(result, ensure_ascii=False)
|
||
|
||
async def confirm_action(self, action: str, arguments: Dict) -> bool:
|
||
"""确认危险操作"""
|
||
print(f"\n{OUTPUT_FORMATS['confirm']} 需要确认的操作:")
|
||
print(f" 操作: {action}")
|
||
print(f" 参数: {json.dumps(arguments, ensure_ascii=False, indent=2)}")
|
||
|
||
response = input("\n是否继续? (y/n): ").strip().lower()
|
||
return response == 'y'
|