mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-03 14:22:13 +08:00
93d81d450d
* feat: add enable_web_search config to disable web search (#681) * fix: skip enforce_researcher_search validation when web search is disabled - Return json.dumps([]) instead of empty string for consistency in background_investigation_node - Add enable_web_search check to skip validation warning when user intentionally disabled web search - Add warning log when researcher has no tools available - Update tests to include new enable_web_search parameter * fix: address Copilot review feedback - Coordinate enforce_web_search with enable_web_search in validate_and_fix_plan - Fix misleading comment in background_investigation_node * docs: add warning about local RAG setup when disabling web search * docs: add web search toggle section to configuration guide
131 lines
4.9 KiB
Python
131 lines
4.9 KiB
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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from typing import List, Optional, Union
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from pydantic import BaseModel, Field
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from src.config.report_style import ReportStyle
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from src.rag.retriever import Resource
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class ContentItem(BaseModel):
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type: str = Field(..., description="The type of content (text, image, etc.)")
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text: Optional[str] = Field(None, description="The text content if type is 'text'")
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image_url: Optional[str] = Field(
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None, description="The image URL if type is 'image'"
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)
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class ChatMessage(BaseModel):
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role: str = Field(
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..., description="The role of the message sender (user or assistant)"
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)
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content: Union[str, List[ContentItem]] = Field(
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...,
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description="The content of the message, either a string or a list of content items",
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)
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class ChatRequest(BaseModel):
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messages: Optional[List[ChatMessage]] = Field(
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[], description="History of messages between the user and the assistant"
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)
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resources: Optional[List[Resource]] = Field(
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[], description="Resources to be used for the research"
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)
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debug: Optional[bool] = Field(False, description="Whether to enable debug logging")
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thread_id: Optional[str] = Field(
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"__default__", description="A specific conversation identifier"
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)
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locale: Optional[str] = Field(
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"en-US", description="Language locale for the conversation (e.g., en-US, zh-CN)"
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)
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max_plan_iterations: Optional[int] = Field(
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1, description="The maximum number of plan iterations"
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)
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max_step_num: Optional[int] = Field(
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3, description="The maximum number of steps in a plan"
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)
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max_search_results: Optional[int] = Field(
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3, description="The maximum number of search results"
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)
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auto_accepted_plan: Optional[bool] = Field(
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False, description="Whether to automatically accept the plan"
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)
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interrupt_feedback: Optional[str] = Field(
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None, description="Interrupt feedback from the user on the plan"
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)
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mcp_settings: Optional[dict] = Field(
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None, description="MCP settings for the chat request"
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)
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enable_background_investigation: Optional[bool] = Field(
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True, description="Whether to get background investigation before plan"
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)
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enable_web_search: Optional[bool] = Field(
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True, description="Whether to enable web search, set to False to use only local RAG"
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)
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report_style: Optional[ReportStyle] = Field(
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ReportStyle.ACADEMIC, description="The style of the report"
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)
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enable_deep_thinking: Optional[bool] = Field(
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False, description="Whether to enable deep thinking"
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)
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enable_clarification: Optional[bool] = Field(
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None,
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description="Whether to enable multi-turn clarification (default: None, uses State default=False)",
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)
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max_clarification_rounds: Optional[int] = Field(
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None,
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description="Maximum number of clarification rounds (default: None, uses State default=3)",
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)
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interrupt_before_tools: List[str] = Field(
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default_factory=list,
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description="List of tool names to interrupt before execution (e.g., ['db_tool', 'api_tool'])",
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)
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class TTSRequest(BaseModel):
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text: str = Field(..., description="The text to convert to speech")
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voice_type: Optional[str] = Field(
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"BV700_V2_streaming", description="The voice type to use"
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)
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encoding: Optional[str] = Field("mp3", description="The audio encoding format")
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speed_ratio: Optional[float] = Field(1.0, description="Speech speed ratio")
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volume_ratio: Optional[float] = Field(1.0, description="Speech volume ratio")
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pitch_ratio: Optional[float] = Field(1.0, description="Speech pitch ratio")
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text_type: Optional[str] = Field("plain", description="Text type (plain or ssml)")
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with_frontend: Optional[int] = Field(
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1, description="Whether to use frontend processing"
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)
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frontend_type: Optional[str] = Field("unitTson", description="Frontend type")
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class GeneratePodcastRequest(BaseModel):
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content: str = Field(..., description="The content of the podcast")
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class GeneratePPTRequest(BaseModel):
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content: str = Field(..., description="The content of the ppt")
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locale: str = Field(
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"en-US", description="Language locale for the conversation (e.g., en-US, zh-CN)"
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)
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class GenerateProseRequest(BaseModel):
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prompt: str = Field(..., description="The content of the prose")
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option: str = Field(..., description="The option of the prose writer")
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command: Optional[str] = Field(
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"", description="The user custom command of the prose writer"
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)
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class EnhancePromptRequest(BaseModel):
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prompt: str = Field(..., description="The original prompt to enhance")
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context: Optional[str] = Field(
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"", description="Additional context about the intended use"
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)
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report_style: Optional[str] = Field(
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"academic", description="The style of the report"
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)
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