fix(app): reordena schemas de tools/Anthropic e adiciona from __future__ import annotations

app.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from fastapi import FastAPI, HTTPException, Form, File, UploadFile, Request, Depends
 from fastapi.responses import HTMLResponse, FileResponse, PlainTextResponse, RedirectResponse, StreamingResponse, JSONResponse
 from starlette.middleware.sessions import SessionMiddleware
@@ -411,6 +413,41 @@ logger.info("Construindo índices de conhecimento (RAG) e skills...")
 reload_indexes()
 
 # ── Schemas ────────────────────────────────────────────────────────────────────
+class ToolFunctionParameters(BaseModel):
+    type: str = "object"
+    properties: dict = {}
+    required: Optional[List[str]] = None
+
+
+class ToolFunction(BaseModel):
+    name: str
+    description: Optional[str] = None
+    parameters: Optional[ToolFunctionParameters] = None
+
+
+class Tool(BaseModel):
+    type: Literal["function"] = "function"
+    function: ToolFunction
+
+
+class AnthropicMessage(BaseModel):
+    role: str
+    content: str
+
+
+class AnthropicTool(BaseModel):
+    name: str
+    description: Optional[str] = None
+    input_schema: Optional[dict] = Field(default=None, alias="input_schema")
+
+    @field_validator("input_schema", mode="before")
+    @classmethod
+    def coerce_input_schema(cls, v):
+        if v is None:
+            return {"type": "object", "properties": {}}
+        return v
+
+
 class Message(BaseModel):
     role: Literal["system", "user", "assistant"]
     content: constr(min_length=1, max_length=10000)
@@ -430,6 +467,8 @@ class ChatRequest(BaseModel):
     messages: List[Message] = Field(min_length=1, description="Lista de mensagens")
     max_tokens: Optional[int] = Field(default=8192, ge=1, le=1000000, description="Máximo de tokens")
     temperature: Optional[float] = Field(default=0.7, ge=0.0, le=2.0, description="Temperatura de geração")
+    tools: Optional[List[Tool]] = Field(default=None, description="Ferramentas disponíveis (formato OpenAI)")
+    tool_choice: Optional[str] = Field(default="auto", description="'auto', 'none', ou nome de uma tool")
 
     @field_validator("model")
     @classmethod
@@ -448,6 +487,23 @@ class ChatRequest(BaseModel):
             raise ValueError("messages não pode estar vazio")
         return v
 
+class AnthropicRequest(BaseModel):
+    model: Optional[str] = Field(default=DEFAULT_MODEL_KEY)
+    messages: List[AnthropicMessage]
+    max_tokens: Optional[int] = Field(default=8192)
+    temperature: Optional[float] = Field(default=0.7)
+    system: Optional[str] = None
+    stream: Optional[bool] = False
+    tools: Optional[List[AnthropicTool]] = Field(default=None, description="Ferramentas no formato Anthropic")
+    tool_choice: Optional[str] = Field(default="auto", description="'auto', 'any', ou nome de uma tool")
+
+    @field_validator("messages")
+    @classmethod
+    def messages_not_empty(cls, v):
+        if not v:
+            raise ValueError("messages não pode estar vazio")
+        return v
+
 class ImageRequest(BaseModel):
     prompt: constr(min_length=1, max_length=1000) = Field(description="Prompt para geração de imagem")
     negative_prompt: Optional[constr(max_length=500)] = Field(default=None, description="Prompt negativo")
@@ -1271,43 +1327,6 @@ def list_transcription_models():
         ]
     }
 
-# ── Endpoint — Anthropic-compatible /v1/messages ──────────────────────────────
-class AnthropicMessage(BaseModel):
-    role: str
-    content: str
-
-
-class AnthropicTool(BaseModel):
-    name: str
-    description: Optional[str] = None
-    input_schema: Optional[dict] = Field(default=None, alias="input_schema")
-
-    @field_validator("input_schema", mode="before")
-    @classmethod
-    def coerce_input_schema(cls, v):
-        if v is None:
-            return {"type": "object", "properties": {}}
-        return v
-
-
-class AnthropicRequest(BaseModel):
-    model: Optional[str] = Field(default=DEFAULT_MODEL_KEY)
-    messages: List[AnthropicMessage]
-    max_tokens: Optional[int] = Field(default=8192)
-    temperature: Optional[float] = Field(default=0.7)
-    system: Optional[str] = None
-    stream: Optional[bool] = False
-    tools: Optional[List[AnthropicTool]] = Field(default=None, description="Ferramentas no formato Anthropic")
-    tool_choice: Optional[str] = Field(default="auto", description="'auto', 'any', ou nome de uma tool")
-
-    @field_validator("messages")
-    @classmethod
-    def messages_not_empty(cls, v):
-        if not v:
-            raise ValueError("messages não pode estar vazio")
-        return v
-
-
 async def chat_completions_async(req: ChatRequest):
     """Versão async do chat_completions — usada pelos endpoints SSE."""
     try: