Update api/utils.py

api/utils.py

@@ -3,33 +3,103 @@ import json
 import uuid
 import asyncio
 import random
-from fastapi import HTTPException, Request
+import string
+from typing import Any, Dict, Optional
+
 import httpx
+from fastapi import HTTPException
+from api import validate  # Import validate to use getHid
 from api.config import (
     MODEL_MAPPING,
     get_headers_api_chat,
+    get_headers_chat,
     BASE_URL,
     AGENT_MODE,
     TRENDING_AGENT_MODE,
-    MODEL_PREFIXES
+    MODEL_PREFIXES,
+    MODEL_REFERERS
 )
+from api.models import ChatRequest
 from api.logger import setup_logger
-from api import validate
 
 logger = setup_logger(__name__)
 
-async def process_streaming_response(request: ChatRequest, request_obj: Request):
-    referer_url = BASE_URL
-    client_ip = request_obj.client.host  # Get the client IP
-    logger.info(f"Processing streaming response - Model: {request.model} - URL: {referer_url} - IP: {client_ip}")
+# Helper function to create a random alphanumeric chat ID
+def generate_chat_id(length: int = 7) -> str:
+    characters = string.ascii_letters + string.digits
+    return ''.join(random.choices(characters, k=length))
+
+# Helper function to create chat completion data
+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,
+    }
+
+# Function to convert message to dictionary format, ensuring base64 data and optional model prefix
+def message_to_dict(message, model_prefix: Optional[str] = None):
+    content = message.content if isinstance(message.content, str) else message.content[0]["text"]
+    if model_prefix:
+        content = f"{model_prefix} {content}"
+    if isinstance(message.content, list) and len(message.content) == 2 and "image_url" in message.content[1]:
+        # Ensure base64 images are always included for all models
+        return {
+            "role": message.role,
+            "content": content,
+            "data": {
+                "imageBase64": message.content[1]["image_url"]["url"],
+                "fileText": "",
+                "title": "snapshot",
+            },
+        }
+    return {"role": message.role, "content": content}
+
+# Function to strip model prefix from content if present
+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()
+    return content
+
+# Function to get the correct referer URL for logging
+def get_referer_url(chat_id: str, model: str) -> str:
+    """Generate the referer URL based on specific models listed in MODEL_REFERERS."""
+    if model in MODEL_REFERERS:
+        return f"{BASE_URL}/chat/{chat_id}?model={model}"
+    return BASE_URL
+
+# Process streaming response with headers from config.py
+async def process_streaming_response(request: ChatRequest):
+    chat_id = generate_chat_id()
+    referer_url = get_referer_url(chat_id, request.model)
+    logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")
 
     agent_mode = AGENT_MODE.get(request.model, {})
     trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
     model_prefix = MODEL_PREFIXES.get(request.model, "")
 
     headers_api_chat = get_headers_api_chat(referer_url)
-    validated_token = validate.getHid()  # Get validated token
-    logger.info(f"Retrieved validated token for IP {client_ip}: {validated_token}")
+    validated_token = validate.getHid()  # Get the validated token from validate.py
+    logger.info(f"Retrieved validated token: {validated_token}")
+
+
+    if request.model == 'o1-preview':
+        delay_seconds = random.randint(1, 60)
+        logger.info(f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' (Chat ID: {chat_id})")
+        await asyncio.sleep(delay_seconds)
 
     json_data = {
         "agentMode": agent_mode,
@@ -38,6 +108,7 @@ async def process_streaming_response(request: ChatRequest, request_obj: Request)
         "clickedForceWebSearch": False,
         "codeModelMode": True,
         "githubToken": None,
+        "id": chat_id,
         "isChromeExt": False,
         "isMicMode": False,
         "maxTokens": request.max_tokens,
@@ -70,27 +141,36 @@ async def process_streaming_response(request: ChatRequest, request_obj: Request)
                         content = line
                         if content.startswith("$@$v=undefined-rv1$@$"):
                             content = content[21:]
-                        yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
+                        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 (IP: {client_ip}): {e}")
+            logger.error(f"HTTP error occurred for Chat ID {chat_id}: {e}")
             raise HTTPException(status_code=e.response.status_code, detail=str(e))
         except httpx.RequestError as e:
-            logger.error(f"Error occurred during request (IP: {client_ip}): {e}")
+            logger.error(f"Error occurred during request for Chat ID {chat_id}: {e}")
             raise HTTPException(status_code=500, detail=str(e))
 
-async def process_non_streaming_response(request: ChatRequest, request_obj: Request):
-    referer_url = BASE_URL
-    client_ip = request_obj.client.host
-    logger.info(f"Processing non-streaming response - Model: {request.model} - URL: {referer_url} - IP: {client_ip}")
+# Process non-streaming response with headers from config.py
+async def process_non_streaming_response(request: ChatRequest):
+    chat_id = generate_chat_id()
+    referer_url = get_referer_url(chat_id, request.model)
+    logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")
 
     agent_mode = AGENT_MODE.get(request.model, {})
     trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
     model_prefix = MODEL_PREFIXES.get(request.model, "")
 
     headers_api_chat = get_headers_api_chat(referer_url)
-    validated_token = validate.getHid()  # Get validated token
+    headers_chat = get_headers_chat(referer_url, next_action=str(uuid.uuid4()), next_router_state_tree=json.dumps([""]))
+    validated_token = validate.getHid()  # Get the validated token from validate.py
+
+    if request.model == 'o1-preview':
+        delay_seconds = random.randint(20, 60)
+        logger.info(f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' (Chat ID: {chat_id})")
+        await asyncio.sleep(delay_seconds)
 
     json_data = {
         "agentMode": agent_mode,
@@ -99,6 +179,7 @@ async def process_non_streaming_response(request: ChatRequest, request_obj: Requ
         "clickedForceWebSearch": False,
         "codeModelMode": True,
         "githubToken": None,
+        "id": chat_id,
         "isChromeExt": False,
         "isMicMode": False,
         "maxTokens": request.max_tokens,
@@ -125,10 +206,10 @@ async def process_non_streaming_response(request: ChatRequest, request_obj: Requ
                 async for chunk in response.aiter_text():
                     full_response += chunk
         except httpx.HTTPStatusError as e:
-            logger.error(f"HTTP error occurred (IP: {client_ip}): {e}")
+            logger.error(f"HTTP error occurred for Chat ID {chat_id}: {e}")
             raise HTTPException(status_code=e.response.status_code, detail=str(e))
         except httpx.RequestError as e:
-            logger.error(f"Error occurred during request (IP: {client_ip}): {e}")
+            logger.error(f"Error occurred during request for Chat ID {chat_id}: {e}")
             raise HTTPException(status_code=500, detail=str(e))
     if full_response.startswith("$@$v=undefined-rv1$@$"):
         full_response = full_response[21:]
@@ -148,42 +229,4 @@ async def process_non_streaming_response(request: ChatRequest, request_obj: Requ
             }
         ],
         "usage": None,
-    }
-
-def create_chat_completion_data(content: str, model: str, timestamp: int, finish_reason: Optional[str] = None):
-    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,
-    }
-
-def message_to_dict(message, model_prefix: Optional[str] = None):
-    content = message.content if isinstance(message.content, str) else message.content[0]["text"]
-    if model_prefix:
-        content = f"{model_prefix} {content}"
-    if isinstance(message.content, list) and len(message.content) == 2 and "image_url" in message.content[1]:
-        return {
-            "role": message.role,
-            "content": content,
-            "data": {
-                "imageBase64": message.content[1]["image_url"]["url"],
-                "fileText": "",
-                "title": "snapshot",
-            },
-        }
-    return {"role": message.role, "content": content}
-
-def strip_model_prefix(content: str, model_prefix: Optional[str] = None) -> str:
-    if model_prefix and content.startswith(model_prefix):
-        logger.debug(f"Stripping prefix '{model_prefix}' from content.")
-        return content[len(model_prefix):].strip()
-    return content
+    }