Update api/utils.py

api/utils.py

@@ -27,12 +27,12 @@ from api.logger import (
     log_strip_prefix,
 )
 
-# Generate a random alphanumeric chat ID
+# Helper function to generate 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))
 
-# Function to create chat completion data
+# 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]:
@@ -51,39 +51,51 @@ def create_chat_completion_data(
         "usage": None,
     }
 
-# Convert message to dictionary format with optional model prefix
+# Convert message to dictionary format with optional model prefix and image data
 def message_to_dict(message, model_prefix: Optional[str] = None):
     content = message.content
     if model_prefix:
         content = f"{model_prefix} {content}"
-    return {"role": message.role, "content": content}
-
-# Remove model prefix from content if present
+    if isinstance(message.content, str):
+        return {"role": message.role, "content": content}
+    elif isinstance(message.content, list) and len(message.content) == 2:
+        return {
+            "role": message.role,
+            "content": content,
+            "data": {
+                "imageBase64": message.content[1]["image_url"]["url"],
+                "fileText": "",
+                "title": "snapshot",
+            },
+        }
+    else:
+        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):
         log_strip_prefix(model_prefix, content)
         return content[len(model_prefix):].strip()
     return content
 
-# Streaming response with headers from config.py
+# Streaming response processing with headers from config.py
 async def process_streaming_response(request: ChatRequest):
-    # Generate chat_id only if model is in MODEL_REFERERS
     chat_id = generate_chat_id() if request.model in MODEL_REFERERS else None
     referer_path = MODEL_REFERERS.get(request.model, "")
     referer_url = f"{BASE_URL}/chat/{chat_id}?model={request.model}" if chat_id else BASE_URL
 
-    # Log chat ID, model, and referer URL if applicable
+    # Log with chat ID, model, and referer URL if applicable
     log_generated_chat_id_with_referer(chat_id, request.model, referer_url)
 
-    # Fetch model configurations
     agent_mode = AGENT_MODE.get(request.model, {})
     trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
     model_prefix = MODEL_PREFIXES.get(request.model, "")
 
-    # Dynamic headers based on referer
+    # Generate headers for API chat request with dynamic Referer
     headers_api_chat = get_headers_api_chat(referer_url)
 
-    # Delay for 'o1-preview' model
+    # Introduce delay for 'o1-preview' model
     if request.model == 'o1-preview':
         delay_seconds = random.randint(20, 60)
         log_model_delay(delay_seconds, request.model, chat_id)
@@ -139,7 +151,7 @@ async def process_streaming_response(request: ChatRequest):
             log_request_error(e, chat_id)
             raise HTTPException(status_code=500, detail=str(e))
 
-# Non-streaming response with headers from config.py
+# Non-streaming response processing with headers from config.py
 async def process_non_streaming_response(request: ChatRequest):
     chat_id = generate_chat_id() if request.model in MODEL_REFERERS else None
     referer_path = MODEL_REFERERS.get(request.model, "")
@@ -148,16 +160,15 @@ async def process_non_streaming_response(request: ChatRequest):
     # Log with chat ID, model, and referer URL if applicable
     log_generated_chat_id_with_referer(chat_id, request.model, referer_url)
 
-    # Model configurations
     agent_mode = AGENT_MODE.get(request.model, {})
     trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
     model_prefix = MODEL_PREFIXES.get(request.model, "")
 
-    # Headers for API chat and secondary request
+    # Generate headers for API chat request and secondary chat request with dynamic Referer
     headers_api_chat = get_headers_api_chat(referer_url)
     headers_chat = get_headers_chat(referer_url, next_action=str(uuid.uuid4()), next_router_state_tree=json.dumps([""]))
 
-    # Delay for 'o1-preview' model
+    # Introduce delay for 'o1-preview' model
     if request.model == 'o1-preview':
         delay_seconds = random.randint(20, 60)
         log_model_delay(delay_seconds, request.model, chat_id)
@@ -206,7 +217,7 @@ async def process_non_streaming_response(request: ChatRequest):
     if full_response.startswith("$@$v=undefined-rv1$@$"):
         full_response = full_response[21:]
 
-    # Strip the model prefix
+    # Strip the model prefix from the full response
     cleaned_full_response = strip_model_prefix(full_response, model_prefix)
 
     return {