from datetime import datetime import json from typing import Any, Dict, Optional import httpx import aiohttp # Add this import from api.config import ( DDG_API_ENDPOINT, # Updated DDG_STATUS_URL, # Updated MODEL_MAPPING, ALLOWED_MODELS, AGENT_MODE, TRENDING_AGENT_MODE, MODEL_PREFIXES, MODEL_REFERERS ) from fastapi import HTTPException from api.models import ChatRequest from api.logger import setup_logger import uuid logger = setup_logger(__name__) # Remove Blackbox-specific functions and add DDG-specific functions # New DDG Integration async def get_ddg_vqd(): status_url = DDG_STATUS_URL headers = { 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36', 'Accept': 'text/event-stream', 'x-vqd-accept': '1' } async with aiohttp.ClientSession() as session: try: async with session.get(status_url, headers=headers) as response: if response.status == 200: return response.headers.get("x-vqd-4") else: logger.error(f"Error: Status code {response.status} when fetching VQD") return None except Exception as e: logger.error(f"Error getting VQD: {e}") return None def format_prompt(messages): """Helper function to format messages into a prompt string.""" return "\n".join([f"{msg.role}: {msg.content}" for msg in messages]) def message_to_dict_ddg(message, model_prefix: Optional[str] = None): if isinstance(message.content, str): content = message.content if model_prefix: content = f"{model_prefix} {content}" return {"role": message.role, "content": content} elif isinstance(message.content, list) and len(message.content) == 2: content = message.content[0]["text"] if model_prefix: content = f"{model_prefix} {content}" return { "role": message.role, "content": content, "data": { "imageBase64": message.content[1]["image_url"]["url"], "fileText": "", "title": "snapshot", }, } else: return {"role": message.role, "content": message.content} def strip_model_prefix(content: str, model_prefix: Optional[str] = None) -> str: """Remove the model prefix from the response content if present.""" if model_prefix and content.startswith(model_prefix): logger.debug(f"Stripping prefix '{model_prefix}' from content.") return content[len(model_prefix):].strip() logger.debug("No prefix to strip from content.") return content async def process_ddg_streaming_response(request: ChatRequest): agent_mode = AGENT_MODE.get(request.model, {}) trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {}) model_prefix = MODEL_PREFIXES.get(request.model, "") referer_path = MODEL_REFERERS.get(request.model, f"/?model={request.model}") referer_url = f"https://duckduckgo.com{referer_path}" # Updated BASE_URL # Update headers with dynamic Referer dynamic_headers = { 'accept': 'text/event-stream', 'content-type': 'application/json', 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36', 'x-vqd-4': await get_ddg_vqd() } if not dynamic_headers['x-vqd-4']: raise HTTPException(status_code=500, detail="Failed to obtain VQD token") json_data = { "model": MODEL_MAPPING.get(request.model, request.model), "messages": [message_to_dict_ddg(msg, model_prefix=model_prefix) for msg in request.messages], # Add additional fields if required by DDG API } async with httpx.AsyncClient() as client: try: async with client.stream( "POST", DDG_API_ENDPOINT, headers=dynamic_headers, json=json_data, timeout=100, ) as response: response.raise_for_status() async for line in response.aiter_lines(): timestamp = int(datetime.now().timestamp()) if line: content = line if content.startswith("$@$v=undefined-rv1$@$"): content = content[21:] # Strip the model prefix from the response content cleaned_content = strip_model_prefix(content, model_prefix) yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp))}\n\n" yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n" yield "data: [DONE]\n\n" except httpx.HTTPStatusError as e: logger.error(f"HTTP error occurred: {e}") raise HTTPException(status_code=e.response.status_code, detail=str(e)) except httpx.RequestError as e: logger.error(f"Error occurred during request: {e}") raise HTTPException(status_code=500, detail=str(e)) async def process_ddg_non_streaming_response(request: ChatRequest): agent_mode = AGENT_MODE.get(request.model, {}) trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {}) model_prefix = MODEL_PREFIXES.get(request.model, "") referer_path = MODEL_REFERERS.get(request.model, f"/?model={request.model}") referer_url = f"https://duckduckgo.com{referer_path}" # Updated BASE_URL # Update headers with dynamic Referer dynamic_headers = { 'accept': 'application/json', 'content-type': 'application/json', 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36', 'x-vqd-4': await get_ddg_vqd() } if not dynamic_headers['x-vqd-4']: raise HTTPException(status_code=500, detail="Failed to obtain VQD token") json_data = { "model": MODEL_MAPPING.get(request.model, request.model), "messages": [message_to_dict_ddg(msg, model_prefix=model_prefix) for msg in request.messages], # Add additional fields if required by DDG API } full_response = "" async with httpx.AsyncClient() as client: try: response = await client.post( DDG_API_ENDPOINT, headers=dynamic_headers, json=json_data, timeout=100 ) response.raise_for_status() full_response = response.text except httpx.HTTPStatusError as e: logger.error(f"HTTP error occurred: {e}") raise HTTPException(status_code=e.response.status_code, detail=str(e)) except httpx.RequestError as e: logger.error(f"Error occurred during request: {e}") raise HTTPException(status_code=500, detail=str(e)) if full_response.startswith("$@$v=undefined-rv1$@$"): full_response = full_response[21:] # Strip the model prefix from the full response cleaned_full_response = strip_model_prefix(full_response, model_prefix) return { "id": f"chatcmpl-{uuid.uuid4()}", "object": "chat.completion", "created": int(datetime.now().timestamp()), "model": request.model, "choices": [ { "index": 0, "message": {"role": "assistant", "content": cleaned_full_response}, "finish_reason": "stop", } ], "usage": None, } def create_chat_completion_data( content: str, model: str, timestamp: int, finish_reason: Optional[str] = None ) -> Dict[str, Any]: return { "id": f"chatcmpl-{uuid.uuid4()}", "object": "chat.completion.chunk", "created": timestamp, "model": model, "choices": [ { "index": 0, "delta": {"content": content, "role": "assistant"}, "finish_reason": finish_reason, } ], "usage": None, }