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https://github.com/DrizzleTime/Foxel.git
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a727e77341
* feat: Implement AI Agent with tool processing capabilities - Added tools for listing and running processors in the agent. - Created data models for agent chat requests and tool calls. - Developed API integration for agent chat and streaming responses. - Built the AI Agent widget with a user interface for interaction. - Styled the agent components for better user experience. * feat: 增强 AI 助手工具功能，添加文件操作和搜索功能，更新界面显示 * feat: 更新 AI 助手组件 * feat: 更新 AiAgentWidget 组件样式，调整背景和边距以提升界面一致性
24 lines
638 B
Python
24 lines
638 B
Python
from typing import Any, Dict, List, Optional
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from pydantic import BaseModel, Field
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class AgentChatContext(BaseModel):
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current_path: Optional[str] = None
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class AgentChatRequest(BaseModel):
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messages: List[Dict[str, Any]] = Field(default_factory=list)
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auto_execute: bool = False
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approved_tool_call_ids: List[str] = Field(default_factory=list)
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rejected_tool_call_ids: List[str] = Field(default_factory=list)
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context: Optional[AgentChatContext] = None
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class PendingToolCall(BaseModel):
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id: str
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name: str
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arguments: Dict[str, Any] = Field(default_factory=dict)
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requires_confirmation: bool = True
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