from fastapi import FastAPI, WebSocket, HTTPException, WebSocketDisconnect from fastapi.responses import JSONResponse, HTMLResponse from fastapi.staticfiles import StaticFiles from fastapi.middleware.cors import CORSMiddleware from pydantic import BaseModel, Field import uvicorn import json import os import asyncio from datetime import datetime from typing import List, Dict, Optional, Any import logging import uuid # If the module does not exist, try to import from the current directory try: from recursive_thinking_ai import EnhancedRecursiveThinkingChat except ModuleNotFoundError: # The file recursive_thinking_ai.py must exist in the current directory import sys sys.path.append('.') from recursive_thinking_ai import EnhancedRecursiveThinkingChat # Set up logging logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) app = FastAPI( title="Chain-of-Recursive-Thoughts: TEST", description="https://github.com/PhialsBasement/Chain-of-Recursive-Thoughts", version="1.0.0" ) # Add CORS middleware app.add_middleware( CORSMiddleware, allow_origins=["*"], # In production, replace with specific origins allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Create a dictionary to store chat instances chat_instances = {} # Retrieve API key from environment variable API_KEY = os.getenv("OPENROUTE_API") if not API_KEY: logger.warning("The OPENROUTE_API environment variable is not set. Some features may not work.") # Pydantic models for request/response validation class ChatConfig(BaseModel): # Removed api_key field; only model and temperature are received model: str = "mistralai/mistral-small-3.1-24b-instruct:free" temperature: Optional[float] = Field(default=0.7, ge=0.0, le=1.0) class MessageRequest(BaseModel): session_id: str message: str thinking_rounds: Optional[int] = Field(default=None, ge=1, le=10) alternatives_per_round: Optional[int] = Field(default=3, ge=1, le=5) temperature: Optional[float] = Field(default=None, ge=0.0, le=1.0) class SaveRequest(BaseModel): session_id: str filename: Optional[str] = None full_log: bool = False class SessionInfo(BaseModel): session_id: str message_count: int created_at: str model: str class SessionResponse(BaseModel): sessions: List[SessionInfo] class InitResponse(BaseModel): session_id: str status: str # Simple HTML interface (API key input form removed) @app.get("/", response_class=HTMLResponse) async def root(): """Root endpoint with a simple HTML interface""" html_content = f""" Chain-of-Recursive-Thoughts: TEST

Chain-of-Recursive-Thoughts: TEST

1. Initialize Chat

Repo: https://github.com/PhialsBasement/Chain-of-Recursive-Thoughts

Community: https://discord.gg/openfreeai

""" return html_content # Health check endpoint @app.get("/health") async def health_check(): """Health check endpoint""" return {"status": "healthy", "timestamp": datetime.now().isoformat()} @app.post("/api/initialize", response_model=InitResponse) async def initialize_chat(config: ChatConfig): """Initialize a new chat session using the environment API key""" try: # Generate a session ID session_id = f"session_{datetime.now().strftime('%Y%m%d%H%M%S')}_{uuid.uuid4().hex[:8]}" # If the environment variable is missing, raise an error (or warning) if not API_KEY: raise HTTPException(status_code=400, detail="The OPENROUTE_API environment variable is not set.") # Initialize the chat instance chat = EnhancedRecursiveThinkingChat( api_key=API_KEY, model=config.model, temperature=config.temperature ) chat_instances[session_id] = { "chat": chat, "created_at": datetime.now().isoformat(), "model": config.model } return {"session_id": session_id, "status": "initialized"} except Exception as e: logger.error(f"Error initializing chat: {str(e)}") raise HTTPException(status_code=500, detail=f"Failed to initialize chat: {str(e)}") @app.post("/api/send_message") async def send_message(request: MessageRequest): """Send a message and get a response with the thinking process""" try: if request.session_id not in chat_instances: raise HTTPException(status_code=404, detail="Session not found") chat = chat_instances[request.session_id]["chat"] # Override class parameters if provided original_thinking_fn = chat._determine_thinking_rounds original_alternatives_fn = chat._generate_alternatives original_temperature = getattr(chat, "temperature", 0.7) if request.thinking_rounds is not None: # Override the thinking rounds determination chat._determine_thinking_rounds = lambda _: request.thinking_rounds if request.alternatives_per_round is not None: def modified_generate_alternatives(base_response, prompt, num_alternatives=3): return original_alternatives_fn(base_response, prompt, request.alternatives_per_round) chat._generate_alternatives = modified_generate_alternatives # Override temperature if provided if request.temperature is not None: setattr(chat, "temperature", request.temperature) # Process the message logger.info(f"Processing message for session {request.session_id}") start_time = datetime.now() result = chat.think_and_respond(request.message, verbose=True) processing_time = (datetime.now() - start_time).total_seconds() logger.info(f"Message processed in {processing_time:.2f} seconds") # Restore original functions and parameters chat._determine_thinking_rounds = original_thinking_fn chat._generate_alternatives = original_alternatives_fn if request.temperature is not None: setattr(chat, "temperature", original_temperature) return { "session_id": request.session_id, "response": result["response"], "thinking_rounds": result["thinking_rounds"], "thinking_history": result["thinking_history"], "processing_time": processing_time } except Exception as e: logger.error(f"Error processing message: {str(e)}") raise HTTPException(status_code=500, detail=f"Failed to process message: {str(e)}") @app.post("/api/save") async def save_conversation(request: SaveRequest): """Save the conversation or the full thinking log""" try: if request.session_id not in chat_instances: raise HTTPException(status_code=404, detail="Session not found") chat = chat_instances[request.session_id]["chat"] # Generate default filename if not provided filename = request.filename if filename is None: timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") log_type = "full_log" if request.full_log else "conversation" filename = f"recthink_{log_type}_{timestamp}.json" # Make sure the output directory exists os.makedirs("logs", exist_ok=True) file_path = os.path.join("logs", filename) if request.full_log: chat.save_full_log(file_path) else: chat.save_conversation(file_path) return {"status": "saved", "filename": filename, "path": file_path} except Exception as e: logger.error(f"Error saving conversation: {str(e)}") raise HTTPException(status_code=500, detail=f"Failed to save conversation: {str(e)}") @app.get("/api/sessions", response_model=SessionResponse) async def list_sessions(): """List all active chat sessions""" sessions = [] for session_id, session_data in chat_instances.items(): chat = session_data["chat"] message_count = len(chat.conversation_history) // 2 # Each message-response pair counts as 2 sessions.append(SessionInfo( session_id=session_id, message_count=message_count, created_at=session_data["created_at"], model=session_data["model"] )) return {"sessions": sessions} @app.get("/api/sessions/{session_id}") async def get_session(session_id: str): """Get details for a specific chat session""" if session_id not in chat_instances: raise HTTPException(status_code=404, detail="Session not found") session_data = chat_instances[session_id] chat = session_data["chat"] # Extract conversation history conversation = [] for i in range(0, len(chat.conversation_history), 2): if i+1 < len(chat.conversation_history): conversation.append({ "user": chat.conversation_history[i], "assistant": chat.conversation_history[i+1] }) return { "session_id": session_id, "created_at": session_data["created_at"], "model": session_data["model"], "message_count": len(conversation), "conversation": conversation } @app.delete("/api/sessions/{session_id}") async def delete_session(session_id: str): """Delete a chat session""" if session_id not in chat_instances: raise HTTPException(status_code=404, detail="Session not found") del chat_instances[session_id] return {"status": "deleted", "session_id": session_id} # WebSocket connection manager class ConnectionManager: def __init__(self): self.active_connections: Dict[str, WebSocket] = {} async def connect(self, session_id: str, websocket: WebSocket): await websocket.accept() self.active_connections[session_id] = websocket def disconnect(self, session_id: str): if session_id in self.active_connections: del self.active_connections[session_id] async def send_json(self, session_id: str, data: dict): if session_id in self.active_connections: await self.active_connections[session_id].send_json(data) manager = ConnectionManager() # WebSocket for streaming the thinking process @app.websocket("/ws/{session_id}") async def websocket_endpoint(websocket: WebSocket, session_id: str): try: await manager.connect(session_id, websocket) if session_id not in chat_instances: await websocket.send_json({"error": "Session not found"}) await websocket.close() return chat = chat_instances[session_id]["chat"] # Set up a custom callback to stream the thinking process original_call_api = chat._call_api async def stream_callback(chunk): await manager.send_json(session_id, {"type": "chunk", "content": chunk}) # Override the _call_api method to also send updates via WebSocket def ws_call_api(messages, temperature=0.7, stream=True): result = original_call_api(messages, temperature, stream) # Send the chunk via WebSocket if we're streaming if stream: asyncio.create_task(stream_callback(result)) return result # Replace the method temporarily chat._call_api = ws_call_api # Wait for messages from the client while True: data = await websocket.receive_text() message_data = json.loads(data) if message_data["type"] == "message": # Process the message start_time = datetime.now() try: # Get parameters if they exist thinking_rounds = message_data.get("thinking_rounds", None) alternatives_per_round = message_data.get("alternatives_per_round", None) temperature = message_data.get("temperature", None) # Override if needed original_thinking_fn = chat._determine_thinking_rounds original_alternatives_fn = chat._generate_alternatives original_temperature = getattr(chat, "temperature", 0.7) if thinking_rounds is not None: chat._determine_thinking_rounds = lambda _: thinking_rounds if alternatives_per_round is not None: def modified_generate_alternatives(base_response, prompt, num_alternatives=3): return original_alternatives_fn(base_response, prompt, alternatives_per_round) chat._generate_alternatives = modified_generate_alternatives if temperature is not None: setattr(chat, "temperature", temperature) # Send a status message that we've started processing await manager.send_json(session_id, { "type": "status", "status": "processing", "message": "Starting recursive thinking process..." }) # Process the message result = chat.think_and_respond(message_data["content"], verbose=True) processing_time = (datetime.now() - start_time).total_seconds() # Restore original functions chat._determine_thinking_rounds = original_thinking_fn chat._generate_alternatives = original_alternatives_fn if temperature is not None: setattr(chat, "temperature", original_temperature) # Send the final result await manager.send_json(session_id, { "type": "final", "response": result["response"], "thinking_rounds": result["thinking_rounds"], "thinking_history": result["thinking_history"], "processing_time": processing_time }) except Exception as e: error_msg = str(e) logger.error(f"Error in WebSocket message processing: {error_msg}") await manager.send_json(session_id, { "type": "error", "error": error_msg }) except WebSocketDisconnect: logger.info(f"WebSocket disconnected: {session_id}") manager.disconnect(session_id) except Exception as e: error_msg = str(e) logger.error(f"WebSocket error: {error_msg}") try: await websocket.send_json({"type": "error", "error": error_msg}) except: pass finally: # Restore the original method if needed if 'chat' in locals() and 'original_call_api' in locals(): chat._call_api = original_call_api # Make sure to disconnect manager.disconnect(session_id) # Use port 7860 for Hugging Face Spaces if __name__ == "__main__": port = 7860 print(f"Starting server on port {port}") uvicorn.run("app:app", host="0.0.0.0", port=port)