chore: 精简代码并更新文档
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README.md
14
README.md
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@ -17,6 +17,8 @@
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### 1. 安装依赖
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```bash
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conda create -n claw python=3.12
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conda activate claw
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pip install -e .
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```
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@ -50,19 +52,13 @@ db_type: sqlite
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db_sqlite_file: nano_claw.db
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```
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### 3. 数据库迁移（首次运行或升级）
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```bash
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python -m backend.migrations.add_project_support
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```
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### 4. 启动后端
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### 3. 启动后端
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```bash
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python -m backend.run
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```
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### 5. 启动前端
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### 4. 启动前端
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```bash
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cd frontend
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@ -124,7 +120,7 @@ frontend/
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| `POST` | `/api/conversations` | 创建会话 |
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| `GET` | `/api/conversations` | 会话列表 |
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| `GET` | `/api/conversations/:id/messages` | 消息列表 |
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| `POST` | `/api/conversations/:id/messages` | 发送消息（SSE） |
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| `POST` | `/api/conversations/:id/messages` | 发送消息（SSE 流式） |
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| `GET` | `/api/projects` | 项目列表 |
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| `POST` | `/api/projects` | 创建项目 |
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| `POST` | `/api/projects/upload` | 上传文件夹 |
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@ -1,20 +1,10 @@
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from backend import db
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from datetime import datetime, timezone
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from flask import current_app
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from sqlalchemy import Text
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from sqlalchemy.dialects.mysql import LONGTEXT as MYSQL_LONGTEXT
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def get_longtext_type():
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"""Get appropriate text type for long content based on database dialect."""
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db_uri = current_app.config.get("SQLALCHEMY_DATABASE_URI", "")
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if db_uri.startswith("mysql"):
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return MYSQL_LONGTEXT
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return Text # SQLite and PostgreSQL use Text
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# For model definitions, we'll use a callable that returns the right type
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class LongText(db.TypeDecorator):
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"""Cross-database LONGTEXT type that works with MySQL, SQLite, and PostgreSQL."""
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impl = Text
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@ -68,11 +68,9 @@ def message_list(conv_id):
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db.session.commit()
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tools_enabled = d.get("tools_enabled", True)
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project_id = d.get("project_id")
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if d.get("stream", False):
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return _chat_service.stream_response(conv, tools_enabled, project_id)
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return _chat_service.sync_response(conv, tools_enabled, project_id)
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return _chat_service.stream_response(conv, tools_enabled, project_id)
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@bp.route("/api/conversations/<conv_id>/messages/<msg_id>", methods=["DELETE"])
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@ -9,9 +9,6 @@ from backend.utils.helpers import (
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get_or_create_default_user,
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record_token_usage,
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build_messages,
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ok,
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err,
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to_dict,
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)
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from backend.services.glm_client import GLMClient
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@ -26,114 +23,6 @@ class ChatService:
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self.executor = ToolExecutor(registry=registry)
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def sync_response(self, conv: Conversation, tools_enabled: bool = True, project_id: str = None):
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"""Sync response with tool call support
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Args:
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conv: Conversation object
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tools_enabled: Whether to enable tools
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project_id: Project ID for workspace isolation
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"""
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tools = registry.list_all() if tools_enabled else None
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messages = build_messages(conv, project_id)
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# Clear tool call history for new request
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self.executor.clear_history()
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# Build context for tool execution
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context = {"project_id": project_id} if project_id else None
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all_tool_calls = []
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all_tool_results = []
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for _ in range(self.MAX_ITERATIONS):
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try:
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resp = self.glm_client.call(
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model=conv.model,
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messages=messages,
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max_tokens=conv.max_tokens,
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temperature=conv.temperature,
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thinking_enabled=conv.thinking_enabled,
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tools=tools,
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)
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resp.raise_for_status()
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result = resp.json()
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except Exception as e:
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return err(500, f"upstream error: {e}")
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choice = result["choices"][0]
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message = choice["message"]
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# No tool calls - return final result
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if not message.get("tool_calls"):
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usage = result.get("usage", {})
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prompt_tokens = usage.get("prompt_tokens", 0)
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completion_tokens = usage.get("completion_tokens", 0)
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# Build content JSON
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content_json = {
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"text": message.get("content", ""),
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}
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if message.get("reasoning_content"):
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content_json["thinking"] = message["reasoning_content"]
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if all_tool_calls:
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content_json["tool_calls"] = self._build_tool_calls_json(all_tool_calls, all_tool_results)
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# Create message
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msg = Message(
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id=str(uuid.uuid4()),
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conversation_id=conv.id,
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role="assistant",
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content=json.dumps(content_json, ensure_ascii=False),
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token_count=completion_tokens,
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)
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db.session.add(msg)
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db.session.commit()
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user = get_or_create_default_user()
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record_token_usage(user.id, conv.model, prompt_tokens, completion_tokens)
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# Set title if needed (first message)
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suggested_title = None
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if not conv.title or conv.title == "新对话":
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user_msg = Message.query.filter_by(
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conversation_id=conv.id, role="user"
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).order_by(Message.created_at.asc()).first()
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if user_msg and user_msg.content:
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# Parse content JSON to get text
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try:
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content_data = json.loads(user_msg.content)
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title_text = content_data.get("text", "")[:30]
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except (json.JSONDecodeError, TypeError):
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title_text = user_msg.content.strip()[:30]
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if title_text:
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suggested_title = title_text
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else:
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suggested_title = "新对话"
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conv.title = suggested_title
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db.session.commit()
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return ok({
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"message": self._message_to_dict(msg),
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"usage": {
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"prompt_tokens": prompt_tokens,
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"completion_tokens": completion_tokens,
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"total_tokens": usage.get("total_tokens", 0)
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},
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"suggested_title": suggested_title,
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})
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# Process tool calls
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tool_calls = message["tool_calls"]
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all_tool_calls.extend(tool_calls)
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messages.append(message)
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tool_results = self.executor.process_tool_calls(tool_calls, context)
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all_tool_results.extend(tool_results)
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messages.extend(tool_results)
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return err(500, "exceeded maximum tool call iterations")
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def stream_response(self, conv: Conversation, tools_enabled: bool = True, project_id: str = None):
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"""Stream response with tool call support
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@ -379,31 +268,6 @@ class ChatService:
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})
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return result
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def _message_to_dict(self, msg: Message) -> dict:
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"""Convert message to dict, parsing JSON content"""
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result = to_dict(msg)
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# Parse content JSON
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if msg.content:
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try:
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content_data = json.loads(msg.content)
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if isinstance(content_data, dict):
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result["text"] = content_data.get("text", "")
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if content_data.get("attachments"):
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result["attachments"] = content_data["attachments"]
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if content_data.get("thinking"):
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result["thinking"] = content_data["thinking"]
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if content_data.get("tool_calls"):
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result["tool_calls"] = content_data["tool_calls"]
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else:
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result["text"] = msg.content
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except (json.JSONDecodeError, TypeError):
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result["text"] = msg.content
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if "text" not in result:
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result["text"] = ""
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return result
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def _process_tool_calls_delta(self, delta: dict, tool_calls_list: list) -> list:
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"""Process tool calls from streaming delta"""
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@ -12,18 +12,12 @@ class ToolExecutor:
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def __init__(
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self,
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registry: Optional[ToolRegistry] = None,
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api_url: Optional[str] = None,
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api_key: Optional[str] = None,
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enable_cache: bool = True,
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cache_ttl: int = 300, # 5 minutes
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max_retries: int = 2, # Max retries per tool
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):
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self.registry = registry or ToolRegistry()
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self.api_url = api_url
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self.api_key = api_key
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self.enable_cache = enable_cache
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self.cache_ttl = cache_ttl
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self.max_retries = max_retries
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self._cache: Dict[str, tuple] = {} # key -> (result, timestamp)
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self._call_history: List[dict] = [] # Track calls in current session
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@ -124,7 +118,7 @@ class ToolExecutor:
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continue
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# Execute tool with retry
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result = self._execute_with_retry(name, args)
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result = self._execute_tool(name, args)
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# Cache the result (only cache successful results)
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if result.get("success"):
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@ -141,23 +135,13 @@ class ToolExecutor:
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return results
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def _execute_with_retry(
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def _execute_tool(
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self,
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name: str,
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arguments: dict,
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) -> dict:
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"""
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Execute tool without automatic retry.
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If the tool fails, return the error to let the model decide
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whether to retry with the same tool or try a different approach.
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Returns:
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Result dict with success status. Failed tool returns:
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{"success": False, "error": "..."}
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"""
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result = self.registry.execute(name, arguments)
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return result
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"""Execute a tool and return the result."""
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return self.registry.execute(name, arguments)
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def _create_tool_result(
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self,
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@ -194,10 +194,8 @@ classDiagram
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-GLMClient glm_client
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-ToolExecutor executor
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+Integer MAX_ITERATIONS
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+sync_response(conv, tools_enabled, project_id) Response
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+stream_response(conv, tools_enabled, project_id) Response
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-_build_tool_calls_json(calls, results) list
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-_message_to_dict(msg) dict
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-_process_tool_calls_delta(delta, list) list
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}
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@ -369,7 +367,7 @@ def process_tool_calls(self, tool_calls, context=None):
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| 方法 | 路径 | 说明 |
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|------|------|------|
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| `GET` | `/api/conversations/:id/messages` | 获取消息列表（游标分页） |
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| `POST` | `/api/conversations/:id/messages` | 发送消息（支持 SSE 流式） |
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| `POST` | `/api/conversations/:id/messages` | 发送消息（SSE 流式） |
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| `DELETE` | `/api/conversations/:id/messages/:mid` | 删除消息 |
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| `POST` | `/api/conversations/:id/regenerate/:mid` | 重新生成消息 |
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@ -1188,6 +1188,7 @@
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"integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==",
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"dev": true,
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"license": "MIT",
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"peer": true,
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"engines": {
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"node": ">=12"
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},
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@ -1300,6 +1301,7 @@
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"integrity": "sha512-+Oxm7q9hDoLMyJOYfUYBuHQo+dkAloi33apOPP56pzj+vsdJDzr+j1NISE5pyaAuKL4A3UD34qd0lx5+kfKp2g==",
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"dev": true,
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"license": "MIT",
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"peer": true,
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"dependencies": {
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"esbuild": "^0.25.0",
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"fdir": "^6.4.4",
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@ -1374,6 +1376,7 @@
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"resolved": "https://registry.npmmirror.com/vue/-/vue-3.5.30.tgz",
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"integrity": "sha512-hTHLc6VNZyzzEH/l7PFGjpcTvUgiaPK5mdLkbjrTeWSRcEfxFrv56g/XckIYlE9ckuobsdwqd5mk2g1sBkMewg==",
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"license": "MIT",
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"peer": true,
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"dependencies": {
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"@vue/compiler-dom": "3.5.30",
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"@vue/compiler-sfc": "3.5.30",
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@ -188,35 +188,9 @@ function loadMoreMessages() {
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if (hasMoreMessages.value) loadMessages(false)
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}
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// -- Send message (streaming) --
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async function sendMessage(data) {
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if (!currentConvId.value || streaming.value) return
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const convId = currentConvId.value // 保存当前对话ID
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const text = data.text || ''
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const attachments = data.attachments || null
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// Add user message optimistically
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const userMsg = {
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id: 'temp_' + Date.now(),
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conversation_id: convId,
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role: 'user',
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text,
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attachments: attachments ? attachments.map(a => ({ name: a.name, extension: a.extension })) : null,
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token_count: 0,
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created_at: new Date().toISOString(),
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}
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messages.value.push(userMsg)
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streaming.value = true
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streamContent.value = ''
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streamThinking.value = ''
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streamToolCalls.value = []
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streamProcessSteps.value = []
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currentStreamPromise = messageApi.send(convId, { text, attachments, projectId: currentProject.value?.id }, {
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stream: true,
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toolsEnabled: toolsEnabled.value,
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// -- Helpers: create stream callbacks for a conversation --
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function createStreamCallbacks(convId, { updateConvList = true } = {}) {
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return {
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onThinkingStart() {
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if (currentConvId.value === convId) {
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streamThinking.value = ''
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@ -242,7 +216,6 @@ async function sendMessage(data) {
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}
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},
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onToolCalls(calls) {
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console.log('🔧 Tool calls received:', calls)
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if (currentConvId.value === convId) {
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streamToolCalls.value.push(...calls.map(c => ({ ...c, result: null })))
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} else {
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@ -252,7 +225,6 @@ async function sendMessage(data) {
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}
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},
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onToolResult(result) {
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console.log('✅ Tool result received:', result)
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if (currentConvId.value === convId) {
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const call = streamToolCalls.value.find(c => c.id === result.id)
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if (call) call.result = result.content
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@ -266,11 +238,8 @@ async function sendMessage(data) {
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onProcessStep(step) {
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const idx = step.index
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if (currentConvId.value === convId) {
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// 创建新数组确保响应式更新
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const newSteps = [...streamProcessSteps.value]
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while (newSteps.length <= idx) {
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newSteps.push(null)
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}
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while (newSteps.length <= idx) newSteps.push(null)
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newSteps[idx] = step
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streamProcessSteps.value = newSteps
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} else {
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@ -282,13 +251,11 @@ async function sendMessage(data) {
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}
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},
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async onDone(data) {
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// 清除保存的状态
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streamStates.delete(convId)
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if (currentConvId.value === convId) {
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streaming.value = false
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currentStreamPromise = null
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// 添加助手消息（保留临时用户消息）
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messages.value.push({
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id: data.message_id,
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conversation_id: convId,
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@ -305,35 +272,27 @@ async function sendMessage(data) {
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streamToolCalls.value = []
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streamProcessSteps.value = []
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// Update conversation in list (move to top)
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const idx = conversations.value.findIndex(c => c.id === convId)
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if (idx > 0) {
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const [conv] = conversations.value.splice(idx, 1)
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conv.message_count = (conv.message_count || 0) + 2
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if (data.suggested_title) {
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conv.title = data.suggested_title
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}
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conversations.value.unshift(conv)
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} else if (idx === 0) {
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conversations.value[0].message_count = (conversations.value[0].message_count || 0) + 2
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if (data.suggested_title) {
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conversations.value[0].title = data.suggested_title
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if (updateConvList) {
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const idx = conversations.value.findIndex(c => c.id === convId)
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if (idx > 0) {
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const [conv] = conversations.value.splice(idx, 1)
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conv.message_count = (conv.message_count || 0) + 2
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if (data.suggested_title) conv.title = data.suggested_title
|
||||
conversations.value.unshift(conv)
|
||||
} else if (idx === 0) {
|
||||
conversations.value[0].message_count = (conversations.value[0].message_count || 0) + 2
|
||||
if (data.suggested_title) conversations.value[0].title = data.suggested_title
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// 后台完成，重新加载该对话的消息
|
||||
try {
|
||||
const res = await messageApi.list(convId, null, 50)
|
||||
// 更新对话列表中的消息计数和标题
|
||||
const idx = conversations.value.findIndex(c => c.id === convId)
|
||||
if (idx >= 0) {
|
||||
conversations.value[idx].message_count = res.data.items.length
|
||||
// 从服务器获取最新标题
|
||||
if (res.data.items.length > 0) {
|
||||
const convRes = await conversationApi.get(convId)
|
||||
if (convRes.data.title) {
|
||||
conversations.value[idx].title = convRes.data.title
|
||||
}
|
||||
if (convRes.data.title) conversations.value[idx].title = convRes.data.title
|
||||
}
|
||||
}
|
||||
} catch (_) {}
|
||||
|
|
@ -351,6 +310,37 @@ async function sendMessage(data) {
|
|||
console.error('Stream error:', msg)
|
||||
}
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// -- Send message (streaming) --
|
||||
async function sendMessage(data) {
|
||||
if (!currentConvId.value || streaming.value) return
|
||||
|
||||
const convId = currentConvId.value
|
||||
const text = data.text || ''
|
||||
const attachments = data.attachments || null
|
||||
|
||||
const userMsg = {
|
||||
id: 'temp_' + Date.now(),
|
||||
conversation_id: convId,
|
||||
role: 'user',
|
||||
text,
|
||||
attachments: attachments ? attachments.map(a => ({ name: a.name, extension: a.extension })) : null,
|
||||
token_count: 0,
|
||||
created_at: new Date().toISOString(),
|
||||
}
|
||||
messages.value.push(userMsg)
|
||||
|
||||
streaming.value = true
|
||||
streamContent.value = ''
|
||||
streamThinking.value = ''
|
||||
streamToolCalls.value = []
|
||||
streamProcessSteps.value = []
|
||||
|
||||
currentStreamPromise = messageApi.send(convId, { text, attachments, projectId: currentProject.value?.id }, {
|
||||
toolsEnabled: toolsEnabled.value,
|
||||
...createStreamCallbacks(convId, { updateConvList: true }),
|
||||
})
|
||||
}
|
||||
|
||||
|
|
@ -370,12 +360,9 @@ async function regenerateMessage(msgId) {
|
|||
if (!currentConvId.value || streaming.value) return
|
||||
|
||||
const convId = currentConvId.value
|
||||
|
||||
// 找到要重新生成的消息索引
|
||||
const msgIndex = messages.value.findIndex(m => m.id === msgId)
|
||||
if (msgIndex === -1) return
|
||||
|
||||
// 移除该消息及其后面的所有消息
|
||||
messages.value = messages.value.slice(0, msgIndex)
|
||||
|
||||
streaming.value = true
|
||||
|
|
@ -387,75 +374,7 @@ async function regenerateMessage(msgId) {
|
|||
currentStreamPromise = messageApi.regenerate(convId, msgId, {
|
||||
toolsEnabled: toolsEnabled.value,
|
||||
projectId: currentProject.value?.id,
|
||||
onThinkingStart() {
|
||||
if (currentConvId.value === convId) {
|
||||
streamThinking.value = ''
|
||||
}
|
||||
},
|
||||
onThinking(text) {
|
||||
if (currentConvId.value === convId) {
|
||||
streamThinking.value += text
|
||||
}
|
||||
},
|
||||
onMessage(text) {
|
||||
if (currentConvId.value === convId) {
|
||||
streamContent.value += text
|
||||
}
|
||||
},
|
||||
onToolCalls(calls) {
|
||||
if (currentConvId.value === convId) {
|
||||
streamToolCalls.value.push(...calls.map(c => ({ ...c, result: null })))
|
||||
}
|
||||
},
|
||||
onToolResult(result) {
|
||||
if (currentConvId.value === convId) {
|
||||
const call = streamToolCalls.value.find(c => c.id === result.id)
|
||||
if (call) call.result = result.content
|
||||
}
|
||||
},
|
||||
onProcessStep(step) {
|
||||
const idx = step.index
|
||||
if (currentConvId.value === convId) {
|
||||
const newSteps = [...streamProcessSteps.value]
|
||||
while (newSteps.length <= idx) {
|
||||
newSteps.push(null)
|
||||
}
|
||||
newSteps[idx] = step
|
||||
streamProcessSteps.value = newSteps
|
||||
}
|
||||
},
|
||||
async onDone(data) {
|
||||
if (currentConvId.value === convId) {
|
||||
streaming.value = false
|
||||
currentStreamPromise = null
|
||||
messages.value.push({
|
||||
id: data.message_id,
|
||||
conversation_id: convId,
|
||||
role: 'assistant',
|
||||
text: streamContent.value,
|
||||
thinking: streamThinking.value || null,
|
||||
tool_calls: streamToolCalls.value.length > 0 ? streamToolCalls.value : null,
|
||||
process_steps: streamProcessSteps.value.filter(Boolean),
|
||||
token_count: data.token_count,
|
||||
created_at: new Date().toISOString(),
|
||||
})
|
||||
streamContent.value = ''
|
||||
streamThinking.value = ''
|
||||
streamToolCalls.value = []
|
||||
streamProcessSteps.value = []
|
||||
}
|
||||
},
|
||||
onError(msg) {
|
||||
if (currentConvId.value === convId) {
|
||||
streaming.value = false
|
||||
currentStreamPromise = null
|
||||
streamContent.value = ''
|
||||
streamThinking.value = ''
|
||||
streamToolCalls.value = []
|
||||
streamProcessSteps.value = []
|
||||
console.error('Regenerate error:', msg)
|
||||
}
|
||||
},
|
||||
...createStreamCallbacks(convId, { updateConvList: false }),
|
||||
})
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -16,6 +16,79 @@ async function request(url, options = {}) {
|
|||
return data
|
||||
}
|
||||
|
||||
/**
|
||||
* Shared SSE stream processor - parses SSE events and dispatches to callbacks
|
||||
* @param {string} url - API URL (without BASE prefix)
|
||||
* @param {object} body - Request body
|
||||
* @param {object} callbacks - Event handlers: { onThinkingStart, onThinking, onMessage, onToolCalls, onToolResult, onProcessStep, onDone, onError }
|
||||
* @returns {{ abort: () => void }}
|
||||
*/
|
||||
function createSSEStream(url, body, { onThinkingStart, onThinking, onMessage, onToolCalls, onToolResult, onProcessStep, onDone, onError }) {
|
||||
const controller = new AbortController()
|
||||
|
||||
const promise = (async () => {
|
||||
try {
|
||||
const res = await fetch(`${BASE}${url}`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(body),
|
||||
signal: controller.signal,
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const err = await res.json().catch(() => ({}))
|
||||
throw new Error(err.message || `HTTP ${res.status}`)
|
||||
}
|
||||
|
||||
const reader = res.body.getReader()
|
||||
const decoder = new TextDecoder()
|
||||
let buffer = ''
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read()
|
||||
if (done) break
|
||||
|
||||
buffer += decoder.decode(value, { stream: true })
|
||||
const lines = buffer.split('\n')
|
||||
buffer = lines.pop() || ''
|
||||
|
||||
let currentEvent = ''
|
||||
for (const line of lines) {
|
||||
if (line.startsWith('event: ')) {
|
||||
currentEvent = line.slice(7).trim()
|
||||
} else if (line.startsWith('data: ')) {
|
||||
const data = JSON.parse(line.slice(6))
|
||||
if (currentEvent === 'thinking_start' && onThinkingStart) {
|
||||
onThinkingStart()
|
||||
} else if (currentEvent === 'thinking' && onThinking) {
|
||||
onThinking(data.content)
|
||||
} else if (currentEvent === 'message' && onMessage) {
|
||||
onMessage(data.content)
|
||||
} else if (currentEvent === 'tool_calls' && onToolCalls) {
|
||||
onToolCalls(data.calls)
|
||||
} else if (currentEvent === 'tool_result' && onToolResult) {
|
||||
onToolResult(data)
|
||||
} else if (currentEvent === 'process_step' && onProcessStep) {
|
||||
onProcessStep(data)
|
||||
} else if (currentEvent === 'done' && onDone) {
|
||||
onDone(data)
|
||||
} else if (currentEvent === 'error' && onError) {
|
||||
onError(data.content)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
if (e.name !== 'AbortError' && onError) {
|
||||
onError(e.message)
|
||||
}
|
||||
}
|
||||
})()
|
||||
|
||||
promise.abort = () => controller.abort()
|
||||
return promise
|
||||
}
|
||||
|
||||
export const modelApi = {
|
||||
list() {
|
||||
return request('/models')
|
||||
|
|
@ -95,149 +168,25 @@ export const messageApi = {
|
|||
return request(`/conversations/${convId}/messages?${params}`)
|
||||
},
|
||||
|
||||
send(convId, data, { stream = true, toolsEnabled = true, onThinkingStart, onThinking, onMessage, onToolCalls, onToolResult, onProcessStep, onDone, onError } = {}) {
|
||||
if (!stream) {
|
||||
return request(`/conversations/${convId}/messages`, {
|
||||
method: 'POST',
|
||||
body: { text: data.text, attachments: data.attachments, stream: false, tools_enabled: toolsEnabled, project_id: data.projectId },
|
||||
})
|
||||
}
|
||||
|
||||
const controller = new AbortController()
|
||||
|
||||
const promise = (async () => {
|
||||
try {
|
||||
const res = await fetch(`${BASE}/conversations/${convId}/messages`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ text: data.text, attachments: data.attachments, stream: true, tools_enabled: toolsEnabled, project_id: data.projectId }),
|
||||
signal: controller.signal,
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const err = await res.json().catch(() => ({}))
|
||||
throw new Error(err.message || `HTTP ${res.status}`)
|
||||
}
|
||||
|
||||
const reader = res.body.getReader()
|
||||
const decoder = new TextDecoder()
|
||||
let buffer = ''
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read()
|
||||
if (done) break
|
||||
|
||||
buffer += decoder.decode(value, { stream: true })
|
||||
const lines = buffer.split('\n')
|
||||
buffer = lines.pop() || ''
|
||||
|
||||
let currentEvent = ''
|
||||
for (const line of lines) {
|
||||
if (line.startsWith('event: ')) {
|
||||
currentEvent = line.slice(7).trim()
|
||||
} else if (line.startsWith('data: ')) {
|
||||
const data = JSON.parse(line.slice(6))
|
||||
if (currentEvent === 'thinking_start' && onThinkingStart) {
|
||||
onThinkingStart()
|
||||
} else if (currentEvent === 'thinking' && onThinking) {
|
||||
onThinking(data.content)
|
||||
} else if (currentEvent === 'message' && onMessage) {
|
||||
onMessage(data.content)
|
||||
} else if (currentEvent === 'tool_calls' && onToolCalls) {
|
||||
onToolCalls(data.calls)
|
||||
} else if (currentEvent === 'tool_result' && onToolResult) {
|
||||
onToolResult(data)
|
||||
} else if (currentEvent === 'process_step' && onProcessStep) {
|
||||
onProcessStep(data)
|
||||
} else if (currentEvent === 'done' && onDone) {
|
||||
onDone(data)
|
||||
} else if (currentEvent === 'error' && onError) {
|
||||
onError(data.content)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
if (e.name !== 'AbortError' && onError) {
|
||||
onError(e.message)
|
||||
}
|
||||
}
|
||||
})()
|
||||
|
||||
promise.abort = () => controller.abort()
|
||||
|
||||
return promise
|
||||
send(convId, data, callbacks) {
|
||||
return createSSEStream(`/conversations/${convId}/messages`, {
|
||||
text: data.text,
|
||||
attachments: data.attachments,
|
||||
stream: true,
|
||||
tools_enabled: callbacks.toolsEnabled !== false,
|
||||
project_id: data.projectId,
|
||||
}, callbacks)
|
||||
},
|
||||
|
||||
delete(convId, msgId) {
|
||||
return request(`/conversations/${convId}/messages/${msgId}`, { method: 'DELETE' })
|
||||
},
|
||||
|
||||
regenerate(convId, msgId, { toolsEnabled = true, projectId, onThinkingStart, onThinking, onMessage, onToolCalls, onToolResult, onProcessStep, onDone, onError } = {}) {
|
||||
const controller = new AbortController()
|
||||
|
||||
const promise = (async () => {
|
||||
try {
|
||||
const res = await fetch(`${BASE}/conversations/${convId}/regenerate/${msgId}`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ tools_enabled: toolsEnabled, project_id: projectId }),
|
||||
signal: controller.signal,
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const err = await res.json().catch(() => ({}))
|
||||
throw new Error(err.message || `HTTP ${res.status}`)
|
||||
}
|
||||
|
||||
const reader = res.body.getReader()
|
||||
const decoder = new TextDecoder()
|
||||
let buffer = ''
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read()
|
||||
if (done) break
|
||||
|
||||
buffer += decoder.decode(value, { stream: true })
|
||||
const lines = buffer.split('\n')
|
||||
buffer = lines.pop() || ''
|
||||
|
||||
let currentEvent = ''
|
||||
for (const line of lines) {
|
||||
if (line.startsWith('event: ')) {
|
||||
currentEvent = line.slice(7).trim()
|
||||
} else if (line.startsWith('data: ')) {
|
||||
const data = JSON.parse(line.slice(6))
|
||||
if (currentEvent === 'thinking_start' && onThinkingStart) {
|
||||
onThinkingStart()
|
||||
} else if (currentEvent === 'thinking' && onThinking) {
|
||||
onThinking(data.content)
|
||||
} else if (currentEvent === 'message' && onMessage) {
|
||||
onMessage(data.content)
|
||||
} else if (currentEvent === 'tool_calls' && onToolCalls) {
|
||||
onToolCalls(data.calls)
|
||||
} else if (currentEvent === 'tool_result' && onToolResult) {
|
||||
onToolResult(data)
|
||||
} else if (currentEvent === 'process_step' && onProcessStep) {
|
||||
onProcessStep(data)
|
||||
} else if (currentEvent === 'done' && onDone) {
|
||||
onDone(data)
|
||||
} else if (currentEvent === 'error' && onError) {
|
||||
onError(data.content)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (e) {
|
||||
if (e.name !== 'AbortError' && onError) {
|
||||
onError(e.message)
|
||||
}
|
||||
}
|
||||
})()
|
||||
|
||||
promise.abort = () => controller.abort()
|
||||
|
||||
return promise
|
||||
regenerate(convId, msgId, callbacks) {
|
||||
return createSSEStream(`/conversations/${convId}/regenerate/${msgId}`, {
|
||||
tools_enabled: callbacks.toolsEnabled !== false,
|
||||
project_id: callbacks.projectId,
|
||||
}, callbacks)
|
||||
},
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -56,7 +56,7 @@
|
|||
:process-steps="streamingProcessSteps"
|
||||
:streaming="streaming"
|
||||
/>
|
||||
<div class="message-content streaming-content" v-html="renderedStreamContent || '<span class=\'placeholder\'>...</span>'"></div>
|
||||
<div class="md-content streaming-content" v-html="renderedStreamContent || '<span class=\'placeholder\'>...</span>'"></div>
|
||||
<div class="streaming-indicator">
|
||||
<svg class="spinner" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2">
|
||||
<path d="M21 12a9 9 0 1 1-6.219-8.56"/>
|
||||
|
|
@ -370,10 +370,6 @@ defineExpose({ scrollToBottom })
|
|||
}
|
||||
|
||||
.streaming-content {
|
||||
font-size: 15px;
|
||||
line-height: 1.7;
|
||||
color: var(--text-primary);
|
||||
word-break: break-word;
|
||||
}
|
||||
|
||||
.streaming-indicator {
|
||||
|
|
@ -387,85 +383,8 @@ defineExpose({ scrollToBottom })
|
|||
color: var(--text-tertiary);
|
||||
}
|
||||
|
||||
.streaming-content :deep(p) {
|
||||
margin: 0 0 8px;
|
||||
}
|
||||
|
||||
.streaming-content :deep(p:last-child) {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.streaming-content :deep(pre) {
|
||||
background: var(--bg-code);
|
||||
border: 1px solid var(--border-light);
|
||||
border-radius: 8px;
|
||||
padding: 16px;
|
||||
overflow-x: auto;
|
||||
margin: 8px 0;
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
.streaming-content :deep(pre code) {
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.streaming-content :deep(code) {
|
||||
background: var(--accent-primary-light);
|
||||
color: var(--accent-primary);
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
font-size: 13px;
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
}
|
||||
|
||||
.streaming-content :deep(pre code) {
|
||||
background: none;
|
||||
color: inherit;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
.streaming-content :deep(ul),
|
||||
.streaming-content :deep(ol) {
|
||||
padding-left: 20px;
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.streaming-content :deep(blockquote) {
|
||||
border-left: 3px solid rgba(59, 130, 246, 0.4);
|
||||
padding-left: 12px;
|
||||
color: var(--text-secondary);
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.streaming-content :deep(table) {
|
||||
border-collapse: collapse;
|
||||
margin: 8px 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.streaming-content :deep(th),
|
||||
.streaming-content :deep(td) {
|
||||
border: 1px solid var(--border-medium);
|
||||
padding: 8px 12px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.streaming-content :deep(th) {
|
||||
background: var(--bg-code);
|
||||
}
|
||||
|
||||
.streaming-content :deep(.placeholder) {
|
||||
color: var(--text-tertiary);
|
||||
}
|
||||
|
||||
.streaming-content :deep(.math-block),
|
||||
.message-content :deep(.math-block) {
|
||||
display: block;
|
||||
text-align: center;
|
||||
padding: 12px 0;
|
||||
margin: 8px 0;
|
||||
overflow-x: auto;
|
||||
}
|
||||
</style>
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@
|
|||
<div class="tool-badge">工具返回结果: {{ toolName }}</div>
|
||||
<pre>{{ content }}</pre>
|
||||
</div>
|
||||
<div v-else class="message-content" v-html="renderedContent"></div>
|
||||
<div v-else class="md-content message-content" v-html="renderedContent"></div>
|
||||
</div>
|
||||
<div class="message-footer">
|
||||
<span class="token-count" v-if="tokenCount">{{ tokenCount }} tokens</span>
|
||||
|
|
@ -196,10 +196,6 @@ function copyContent() {
|
|||
}
|
||||
|
||||
.message-content {
|
||||
font-size: 15px;
|
||||
line-height: 1.7;
|
||||
color: var(--text-primary);
|
||||
word-break: break-word;
|
||||
}
|
||||
|
||||
.tool-result-content {
|
||||
|
|
@ -232,75 +228,6 @@ function copyContent() {
|
|||
word-break: break-word;
|
||||
}
|
||||
|
||||
.message-content :deep(p) {
|
||||
margin: 0 0 8px;
|
||||
}
|
||||
|
||||
.message-content :deep(p:last-child) {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.message-content :deep(pre) {
|
||||
background: var(--bg-code);
|
||||
border: 1px solid var(--border-light);
|
||||
border-radius: 8px;
|
||||
padding: 16px;
|
||||
overflow-x: auto;
|
||||
margin: 8px 0;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.message-content :deep(pre code) {
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.message-content :deep(code) {
|
||||
background: var(--accent-primary-light);
|
||||
color: var(--accent-primary);
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
font-size: 13px;
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
}
|
||||
|
||||
.message-content :deep(pre code) {
|
||||
background: none;
|
||||
color: inherit;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
.message-content :deep(ul),
|
||||
.message-content :deep(ol) {
|
||||
padding-left: 20px;
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.message-content :deep(blockquote) {
|
||||
border-left: 3px solid rgba(59, 130, 246, 0.4);
|
||||
padding-left: 12px;
|
||||
color: var(--text-secondary);
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.message-content :deep(table) {
|
||||
border-collapse: collapse;
|
||||
margin: 8px 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.message-content :deep(th),
|
||||
.message-content :deep(td) {
|
||||
border: 1px solid var(--border-medium);
|
||||
padding: 8px 12px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.message-content :deep(th) {
|
||||
background: var(--bg-code);
|
||||
}
|
||||
|
||||
.message-footer {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
|
|
@ -343,12 +270,4 @@ function copyContent() {
|
|||
color: var(--danger-color);
|
||||
background: var(--danger-bg);
|
||||
}
|
||||
|
||||
.message-content :deep(.math-block) {
|
||||
display: block;
|
||||
text-align: center;
|
||||
padding: 12px 0;
|
||||
margin: 8px 0;
|
||||
overflow-x: auto;
|
||||
}
|
||||
</style>
|
||||
|
|
|
|||
|
|
@ -18,11 +18,10 @@
|
|||
<textarea
|
||||
ref="textareaRef"
|
||||
v-model="text"
|
||||
placeholder="输入消息... (Shift+Enter 换行)"
|
||||
:placeholder="disabled ? 'AI 正在回复中...' : '输入消息... (Shift+Enter 换行)'"
|
||||
rows="1"
|
||||
@input="autoResize"
|
||||
@keydown="onKeydown"
|
||||
:disabled="disabled"
|
||||
></textarea>
|
||||
<div class="input-footer">
|
||||
<input
|
||||
|
|
@ -274,10 +273,6 @@ textarea::placeholder {
|
|||
color: var(--text-tertiary);
|
||||
}
|
||||
|
||||
textarea:disabled {
|
||||
opacity: 0.5;
|
||||
}
|
||||
|
||||
.input-footer {
|
||||
display: flex;
|
||||
justify-content: flex-end;
|
||||
|
|
|
|||
|
|
@ -1,3 +1,89 @@
|
|||
/* Markdown content shared styles */
|
||||
.md-content {
|
||||
font-size: 15px;
|
||||
line-height: 1.7;
|
||||
color: var(--text-primary);
|
||||
word-break: break-word;
|
||||
}
|
||||
|
||||
.md-content :deep(p) {
|
||||
margin: 0 0 8px;
|
||||
}
|
||||
|
||||
.md-content :deep(p:last-child) {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.md-content :deep(pre) {
|
||||
background: var(--bg-code);
|
||||
border: 1px solid var(--border-light);
|
||||
border-radius: 8px;
|
||||
padding: 16px;
|
||||
overflow-x: auto;
|
||||
margin: 8px 0;
|
||||
max-width: 100%;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.md-content :deep(pre code) {
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.md-content :deep(code) {
|
||||
background: var(--accent-primary-light);
|
||||
color: var(--accent-primary);
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
font-size: 13px;
|
||||
font-family: 'JetBrains Mono', 'Fira Code', monospace;
|
||||
}
|
||||
|
||||
.md-content :deep(pre code) {
|
||||
background: none;
|
||||
color: inherit;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
.md-content :deep(ul),
|
||||
.md-content :deep(ol) {
|
||||
padding-left: 20px;
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.md-content :deep(blockquote) {
|
||||
border-left: 3px solid rgba(59, 130, 246, 0.4);
|
||||
padding-left: 12px;
|
||||
color: var(--text-secondary);
|
||||
margin: 8px 0;
|
||||
}
|
||||
|
||||
.md-content :deep(table) {
|
||||
border-collapse: collapse;
|
||||
margin: 8px 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.md-content :deep(th),
|
||||
.md-content :deep(td) {
|
||||
border: 1px solid var(--border-medium);
|
||||
padding: 8px 12px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.md-content :deep(th) {
|
||||
background: var(--bg-code);
|
||||
}
|
||||
|
||||
.md-content :deep(.math-block) {
|
||||
display: block;
|
||||
text-align: center;
|
||||
padding: 12px 0;
|
||||
margin: 8px 0;
|
||||
overflow-x: auto;
|
||||
}
|
||||
|
||||
/* 共享滚动条样式 */
|
||||
.custom-scrollbar::-webkit-scrollbar {
|
||||
width: 6px;
|
||||
|
|
|
|||
Loading…
Reference in New Issue