init

schemas/agent_input.py

@@ -1,9 +1,16 @@
-from typing import Optional
-from pydantic import BaseModel
+from typing import Any, Dict, Optional
+
+from pydantic import BaseModel, ConfigDict, Field
 
 
 class AgentInput(BaseModel):
-    """Agent 输入模型"""
-    input: str
-    session_id: Optional[str] = None
+    """统一工作流输入模型（新版本 DTO）"""
+
+    model_config = ConfigDict(extra="forbid")
+
+    query: str
+    conversation_id: Optional[str] = None
     workflow_type: str = "conversation"
+    response_mode: str = "blocking"
+    user: Optional[str] = None
+    inputs: Dict[str, Any] = Field(default_factory=dict)

schemas/chat_message_request.py

@@ -0,0 +1,22 @@
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class ChatMessageFileDTO(BaseModel):
+    """文件输入模型（预留）"""
+
+    model_config = ConfigDict(extra="allow")
+
+
+class ChatMessageRequestDTO(BaseModel):
+    """/api/workflows/stream 请求模型（对齐标准 chat message 请求）"""
+
+    model_config = ConfigDict(extra="forbid")
+
+    query: str
+    inputs: Dict[str, Any] = Field(default_factory=dict)
+    response_mode: str = "streaming"
+    user: Optional[str] = None
+    conversation_id: Optional[str] = None
+    files: List[ChatMessageFileDTO] = Field(default_factory=list)

schemas/stream_input.py

@@ -0,0 +1,7 @@
+from schemas.agent_input import AgentInput
+
+
+class StreamInputDTO(AgentInput):
+    """流式输入 DTO（与统一 AgentInput 保持一致）"""
+
+    response_mode: str = "streaming"