from enum import StrEnum from pydantic import BaseModel, ConfigDict, Field class WriteFileTransport(StrEnum): """How a model supplies the body of a ``write_file`` call.""" NATIVE = "native" BUFFERED_GATEWAY = "buffered_gateway" ARTIFACT_RENDERER = "artifact_renderer" # Kept for existing deployments that already opted into the first bridge # implementation. New buffered-gateway configurations should use # ``buffered_gateway``; unlike the legacy free-form body bridge it keeps # the original writer contract and enforces a typed transaction boundary. TEXT_BRIDGE = "text_bridge" class ToolCallTransport(StrEnum): """How provider tool calls reach DeerFlow. ``deepseek_dsml`` is an application-side compatibility fallback for OpenAI-compatible gateways that leave DeepSeek V4/V4.1 DSML in assistant ``content`` instead of returning standard ``message.tool_calls``. """ NATIVE = "native" DEEPSEEK_DSML = "deepseek_dsml" class ModelConfig(BaseModel): """Config section for a model""" name: str = Field(..., description="Unique name for the model") display_name: str | None = Field(..., default_factory=lambda: None, description="Display name for the model") description: str | None = Field(..., default_factory=lambda: None, description="Description for the model") use: str = Field( ..., description="Class path of the model provider(e.g. langchain_openai.ChatOpenAI)", ) model: str = Field(..., description="Model name") max_input_tokens: int | None = Field( default=None, ge=1, description="Maximum input context tokens DeerFlow may send to the model", ) model_config = ConfigDict(extra="allow") use_responses_api: bool | None = Field( default=None, description="Whether to route OpenAI ChatOpenAI calls through the /v1/responses API", ) output_version: str | None = Field( default=None, description="Structured output version for OpenAI responses content, e.g. responses/v1", ) write_file_transport: WriteFileTransport = Field( default=WriteFileTransport.NATIVE, description=( "How DeerFlow receives write_file content. Use buffered_gateway to keep the " "original write_file contract while obtaining its body from a second ordinary-text " "stream when an OpenAI-compatible gateway buffers tool arguments. " "artifact_renderer is the earlier internal-handshake compatibility mode. " "text_bridge remains available only for backward compatibility." ), ) tool_call_transport: ToolCallTransport = Field( default=ToolCallTransport.NATIVE, description=( "How DeerFlow receives provider tool calls. Use deepseek_dsml only " "for a DeepSeek V4/V4.1 OpenAI-compatible endpoint that leaks raw " "DSML through assistant content instead of message.tool_calls." ), ) supports_thinking: bool = Field(default_factory=lambda: False, description="Whether the model supports thinking") supports_reasoning_effort: bool = Field( default_factory=lambda: False, description=( "Legacy parser compatibility only. Gateway reasoning-effort capability is stored in the " "model_capabilities database table." ), ) when_thinking_enabled: dict | None = Field( default_factory=lambda: None, description="Extra settings to be passed to the model when thinking is enabled", ) when_thinking_disabled: dict | None = Field( default_factory=lambda: None, description="Extra settings to be passed to the model when thinking is disabled", ) supports_vision: bool = Field(default_factory=lambda: False, description="Whether the model supports vision/image inputs") thinking: dict | None = Field( default_factory=lambda: None, description=( "Thinking settings for the model. If provided, these settings will be passed to the model when thinking is enabled. " "This is a shortcut for `when_thinking_enabled` and will be merged with `when_thinking_enabled` if both are provided." ), )