feat: Initial commit of LLM Tool Proxy

app/models.py

@@ -0,0 +1,41 @@
+from pydantic import BaseModel, Field
+from typing import List, Dict, Any, Optional
+
+# Models for incoming requests
+class ChatMessage(BaseModel):
+    """Represents a single message in the chat history."""
+    role: str
+    content: str
+
+class Tool(BaseModel):
+    """Represents a tool definition provided by the user."""
+    type: str
+    function: Dict[str, Any]
+
+class IncomingRequest(BaseModel):
+    """Defines the structure of the request from the client."""
+    messages: List[ChatMessage]
+    tools: Optional[List[Tool]] = None
+    stream: Optional[bool] = False
+
+# Models for outgoing responses
+class ToolCallFunction(BaseModel):
+    """Function call details within a tool call."""
+    name: str
+    arguments: str  # JSON string of arguments
+
+class ToolCall(BaseModel):
+    """Represents a tool call requested by the LLM."""
+    id: str
+    type: str = "function"
+    function: ToolCallFunction
+
+class ResponseMessage(BaseModel):
+    """The message part of the response from the proxy."""
+    role: str = "assistant"
+    content: Optional[str] = None
+    tool_calls: Optional[List[ToolCall]] = None
+
+class ProxyResponse(BaseModel):
+    """Defines the final structured response sent back to the client."""
+    message: ResponseMessage