Easily interrupt and redirect khoj's research direction via chat

- Khoj can now save and restore research from partial state
  This triggers an interrupt that saves the partial research, then
  when a new query is sent it loads the previous partial research as
  context and continues utilizing with the new user query to orient
  its future research
- Support natural interrupt and send query behavior from web app
  This triggers an abort and send when a user sends a chat message
  while khoj is in the middle of some previous research.

This interrupt mechanism enables a more natural, interactive
research flow

src/interface/web/app/chat/page.tsx

@@ -49,6 +49,7 @@ interface ChatBodyDataProps {
     isChatSideBarOpen: boolean;
     setIsChatSideBarOpen: (open: boolean) => void;
     isActive?: boolean;
+    isParentProcessing?: boolean;
 }
 
 function ChatBodyData(props: ChatBodyDataProps) {
@@ -166,7 +167,7 @@ function ChatBodyData(props: ChatBodyDataProps) {
                         isLoggedIn={props.isLoggedIn}
                         sendMessage={(message) => setMessage(message)}
                         sendImage={(image) => setImages((prevImages) => [...prevImages, image])}
-                        sendDisabled={processingMessage}
+                        sendDisabled={props.isParentProcessing || false}
                         chatOptionsData={props.chatOptionsData}
                         conversationId={conversationId}
                         isMobileWidth={props.isMobileWidth}
@@ -203,6 +204,7 @@ export default function Chat() {
     const [abortMessageStreamController, setAbortMessageStreamController] =
         useState<AbortController | null>(null);
     const [triggeredAbort, setTriggeredAbort] = useState(false);
+    const [shouldSendWithInterrupt, setShouldSendWithInterrupt] = useState(false);
 
     const { locationData, locationDataError, locationDataLoading } = useIPLocationData() || {
         locationData: {
@@ -239,6 +241,7 @@ export default function Chat() {
         if (triggeredAbort) {
             abortMessageStreamController?.abort();
             handleAbortedMessage();
+            setShouldSendWithInterrupt(true);
             setTriggeredAbort(false);
         }
     }, [triggeredAbort]);
@@ -335,18 +338,21 @@ export default function Chat() {
 
         currentMessage.completed = true;
         setMessages([...messages]);
-        setQueryToProcess("");
         setProcessQuerySignal(false);
     }
 
     async function chat() {
         localStorage.removeItem("message");
-        if (!queryToProcess || !conversationId) return;
+        if (!queryToProcess || !conversationId) {
+            setProcessQuerySignal(false);
+            return;
+        }
         const chatAPI = "/api/chat?client=web";
         const chatAPIBody = {
             q: queryToProcess,
             conversation_id: conversationId,
             stream: true,
+            interrupt: shouldSendWithInterrupt,
             ...(locationData && {
                 city: locationData.city,
                 region: locationData.region,
@@ -358,6 +364,9 @@ export default function Chat() {
             ...(uploadedFiles && { files: uploadedFiles }),
         };
 
+        // Reset the flag after using it
+        setShouldSendWithInterrupt(false);
+
         const response = await fetch(chatAPI, {
             method: "POST",
             headers: {
@@ -481,6 +490,7 @@ export default function Chat() {
                                     isChatSideBarOpen={isChatSideBarOpen}
                                     setIsChatSideBarOpen={setIsChatSideBarOpen}
                                     isActive={authenticatedData?.is_active}
+                                    isParentProcessing={processQuerySignal}
                                 />
                             </Suspense>
                         </div>

src/interface/web/app/components/chatInputArea/chatInputArea.tsx

@@ -180,13 +180,7 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
     }, [props.isResearchModeEnabled]);
 
     function onSendMessage() {
-        if (imageUploaded) {
+        if (!message.trim() && imageData.length === 0) return;
-            setImageUploaded(false);
-            setImagePaths([]);
-            imageData.forEach((data) => props.sendImage(data));
-        }
-        if (!message.trim()) return;
-
         if (!props.isLoggedIn) {
             setLoginRedirectMessage(
                 "Hey there, you need to be signed in to send messages to Khoj AI",
@@ -195,6 +189,17 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
             return;
         }
 
+        // If currently processing, trigger abort first
+        if (props.sendDisabled) {
+            props.setTriggeredAbort(true);
+        }
+
+        if (imageUploaded) {
+            setImageUploaded(false);
+            setImagePaths([]);
+            imageData.forEach((data) => props.sendImage(data));
+        }
+
         let messageToSend = message.trim();
         // Check if message starts with an explicit slash command
         const startsWithSlashCommand =
@@ -657,7 +662,7 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
                                     <Button
                                         variant={"ghost"}
                                         className="!bg-none p-0 m-2 h-auto text-3xl rounded-full text-gray-300 hover:text-gray-500"
-                                        disabled={props.sendDisabled || !props.isLoggedIn}
+                                        disabled={!props.isLoggedIn}
                                         onClick={handleFileButtonClick}
                                         ref={fileInputButtonRef}
                                     >
@@ -686,7 +691,8 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
                                     e.key === "Enter" &&
                                     !e.shiftKey &&
                                     !props.isMobileWidth &&
-                                    !props.sendDisabled
+                                    !recording &&
+                                    message
                                 ) {
                                     setImageUploaded(false);
                                     setImagePaths([]);
@@ -725,7 +731,7 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
                             <TooltipProvider>
                                 <Tooltip>
                                     <TooltipTrigger asChild>
-                                        {props.sendDisabled ? (
+                                        {props.sendDisabled && !message ? (
                                             <Button
                                                 variant="default"
                                                 className={`${props.agentColor ? convertToBGClass(props.agentColor) : "bg-orange-300 hover:bg-orange-500"} rounded-full p-1 m-2 h-auto text-3xl transition transform md:hover:-translate-y-1`}
@@ -758,8 +764,8 @@ export const ChatInputArea = forwardRef<HTMLTextAreaElement, ChatInputProps>((pr
                             </TooltipProvider>
                         )}
                         <Button
-                            className={`${(!message || recording || props.sendDisabled) && "hidden"} ${props.agentColor ? convertToBGClass(props.agentColor) : "bg-orange-300 hover:bg-orange-500"} rounded-full p-1 m-2 h-auto text-3xl transition transform md:hover:-translate-y-1`}
+                            className={`${(!message || recording) && "hidden"} ${props.agentColor ? convertToBGClass(props.agentColor) : "bg-orange-300 hover:bg-orange-500"} rounded-full p-1 m-2 h-auto text-3xl transition transform md:hover:-translate-y-1`}
-                            disabled={props.sendDisabled || !props.isLoggedIn}
+                            disabled={!message || recording || !props.isLoggedIn}
                             onClick={onSendMessage}
                         >
                             <ArrowUp className="w-6 h-6" weight="bold" />

src/khoj/database/models/__init__.py

@@ -23,6 +23,7 @@ logger = logging.getLogger(__name__)
 class Context(PydanticBaseModel):
     compiled: str
     file: str
+    query: str
 
 
 class CodeContextFile(PydanticBaseModel):
@@ -105,6 +106,8 @@ class ChatMessage(PydanticBaseModel):
     context: List[Context] = []
     onlineContext: Dict[str, OnlineContext] = {}
     codeContext: Dict[str, CodeContextData] = {}
+    researchContext: Optional[List] = None
+    operatorContext: Optional[Dict[str, str]] = None
     created: str
     images: Optional[List[str]] = None
     queryFiles: Optional[List[Dict]] = None

src/khoj/processor/conversation/anthropic/anthropic_chat.py

@@ -164,7 +164,7 @@ async def converse_anthropic(
     generated_asset_results: Dict[str, Dict] = {},
     deepthought: Optional[bool] = False,
     tracer: dict = {},
-) -> AsyncGenerator[ResponseWithThought, None]:
+) -> AsyncGenerator[str | ResponseWithThought, None]:
     """
     Converse with user using Anthropic's Claude
     """

src/khoj/processor/conversation/openai/gpt.py

@@ -190,7 +190,7 @@ async def converse_openai(
     program_execution_context: List[str] = None,
     deepthought: Optional[bool] = False,
     tracer: dict = {},
-) -> AsyncGenerator[ResponseWithThought, None]:
+) -> AsyncGenerator[str | ResponseWithThought, None]:
     """
     Converse with user using OpenAI's ChatGPT
     """

src/khoj/processor/conversation/utils.py

@@ -110,9 +110,12 @@ class InformationCollectionIteration:
 
 
 def construct_iteration_history(
-    query: str, previous_iterations: List[InformationCollectionIteration], previous_iteration_prompt: str
+    previous_iterations: List[InformationCollectionIteration],
+    previous_iteration_prompt: str,
+    query: str = None,
 ) -> list[dict]:
-    previous_iterations_history = []
+    iteration_history: list[dict] = []
+    previous_iteration_messages: list[dict] = []
     for idx, iteration in enumerate(previous_iterations):
         iteration_data = previous_iteration_prompt.format(
             tool=iteration.tool,
@@ -121,23 +124,19 @@ def construct_iteration_history(
             index=idx + 1,
         )
 
-        previous_iterations_history.append(iteration_data)
+        previous_iteration_messages.append({"type": "text", "text": iteration_data})
 
-    return (
+    if previous_iteration_messages:
-        [
+        if query:
-            {
+            iteration_history.append({"by": "you", "message": query})
-                "by": "you",
+        iteration_history.append(
-                "message": query,
-            },
             {
                 "by": "khoj",
                 "intent": {"type": "remember", "query": query},
-                "message": previous_iterations_history,
+                "message": previous_iteration_messages,
-            },
+            }
-        ]
+        )
-        if previous_iterations_history
+    return iteration_history
-        else []
-    )
 
 
 def construct_chat_history(conversation_history: dict, n: int = 4, agent_name="AI") -> str:
@@ -285,6 +284,7 @@ async def save_to_conversation_log(
     generated_images: List[str] = [],
     raw_generated_files: List[FileAttachment] = [],
     generated_mermaidjs_diagram: str = None,
+    research_results: Optional[List[InformationCollectionIteration]] = None,
     train_of_thought: List[Any] = [],
     tracer: Dict[str, Any] = {},
 ):
@@ -302,6 +302,7 @@ async def save_to_conversation_log(
         "onlineContext": online_results,
         "codeContext": code_results,
         "operatorContext": operator_results,
+        "researchContext": [vars(r) for r in research_results] if research_results and not chat_response else None,
         "automationId": automation_id,
         "trainOfThought": train_of_thought,
         "turnId": turn_id,
@@ -341,7 +342,7 @@ Khoj: "{chat_response}"
 
 
 def construct_structured_message(
-    message: list[str] | str,
+    message: list[dict] | str,
     images: list[str],
     model_type: str,
     vision_enabled: bool,
@@ -355,11 +356,9 @@ def construct_structured_message(
         ChatModel.ModelType.GOOGLE,
         ChatModel.ModelType.ANTHROPIC,
     ]:
-        message = [message] if isinstance(message, str) else message
+        constructed_messages: List[dict[str, Any]] = (
-
+            [{"type": "text", "text": message}] if isinstance(message, str) else message
-        constructed_messages: List[dict[str, Any]] = [
+        )
-            {"type": "text", "text": message_part} for message_part in message
-        ]
 
         if not is_none_or_empty(attached_file_context):
             constructed_messages.append({"type": "text", "text": attached_file_context})
@@ -368,6 +367,7 @@ def construct_structured_message(
                 constructed_messages.append({"type": "image_url", "image_url": {"url": image}})
         return constructed_messages
 
+    message = message if isinstance(message, str) else "\n\n".join(m["text"] for m in message)
     if not is_none_or_empty(attached_file_context):
         return f"{attached_file_context}\n\n{message}"
 
@@ -421,7 +421,7 @@ def generate_chatml_messages_with_context(
     # Extract Chat History for Context
     chatml_messages: List[ChatMessage] = []
     for chat in conversation_log.get("chat", []):
-        message_context = ""
+        message_context = []
         message_attached_files = ""
 
         generated_assets = {}
@@ -433,16 +433,6 @@ def generate_chatml_messages_with_context(
         if chat["by"] == "khoj" and "excalidraw" in chat["intent"].get("type", ""):
             chat_message = chat["intent"].get("inferred-queries")[0]
 
-        if not is_none_or_empty(chat.get("context")):
-            references = "\n\n".join(
-                {
-                    f"# File: {item['file']}\n## {item['compiled']}\n"
-                    for item in chat.get("context") or []
-                    if isinstance(item, dict)
-                }
-            )
-            message_context += f"{prompts.notes_conversation.format(references=references)}\n\n"
-
         if chat.get("queryFiles"):
             raw_query_files = chat.get("queryFiles")
             query_files_dict = dict()
@@ -453,15 +443,38 @@ def generate_chatml_messages_with_context(
             chatml_messages.append(ChatMessage(content=message_attached_files, role=role))
 
         if not is_none_or_empty(chat.get("onlineContext")):
-            message_context += f"{prompts.online_search_conversation.format(online_results=chat.get('onlineContext'))}"
+            message_context += [
+                {
+                    "type": "text",
+                    "text": f"{prompts.online_search_conversation.format(online_results=chat.get('onlineContext'))}",
+                }
+            ]
 
         if not is_none_or_empty(chat.get("codeContext")):
-            message_context += f"{prompts.code_executed_context.format(code_results=chat.get('codeContext'))}"
+            message_context += [
+                {
+                    "type": "text",
+                    "text": f"{prompts.code_executed_context.format(code_results=chat.get('codeContext'))}",
+                }
+            ]
 
         if not is_none_or_empty(chat.get("operatorContext")):
-            message_context += (
+            message_context += [
-                f"{prompts.operator_execution_context.format(operator_results=chat.get('operatorContext'))}"
+                {
+                    "type": "text",
+                    "text": f"{prompts.operator_execution_context.format(operator_results=chat.get('operatorContext'))}",
+                }
+            ]
+
+        if not is_none_or_empty(chat.get("context")):
+            references = "\n\n".join(
+                {
+                    f"# File: {item['file']}\n## {item['compiled']}\n"
+                    for item in chat.get("context") or []
+                    if isinstance(item, dict)
+                }
             )
+            message_context += [{"type": "text", "text": f"{prompts.notes_conversation.format(references=references)}"}]
 
         if not is_none_or_empty(message_context):
             reconstructed_context_message = ChatMessage(content=message_context, role="user")

src/khoj/processor/operator/grounding_agent_uitars.py

@@ -13,7 +13,7 @@ from io import BytesIO
 from typing import Any, List
 
 import numpy as np
-from openai import AzureOpenAI, OpenAI
+from openai import AsyncAzureOpenAI, AsyncOpenAI
 from openai.types.chat import ChatCompletion
 from PIL import Image
 
@@ -72,7 +72,7 @@ class GroundingAgentUitars:
     def __init__(
         self,
         model_name: str,
-        client: OpenAI | AzureOpenAI,
+        client: AsyncOpenAI | AsyncAzureOpenAI,
         max_iterations=50,
         environment_type: Literal["computer", "web"] = "computer",
         runtime_conf: dict = {

src/khoj/routers/api_chat.py

@@ -682,11 +682,13 @@ async def chat(
     timezone = body.timezone
     raw_images = body.images
     raw_query_files = body.files
+    interrupt_flag = body.interrupt
 
     async def event_generator(q: str, images: list[str]):
         start_time = time.perf_counter()
         ttft = None
         chat_metadata: dict = {}
+        conversation = None
         user: KhojUser = request.user.object
         is_subscribed = has_required_scope(request, ["premium"])
         q = unquote(q)
@@ -720,6 +722,20 @@ async def chat(
             for file in raw_query_files:
                 query_files[file.name] = file.content
 
+        research_results: List[InformationCollectionIteration] = []
+        online_results: Dict = dict()
+        code_results: Dict = dict()
+        operator_results: Dict[str, str] = {}
+        compiled_references: List[Any] = []
+        inferred_queries: List[Any] = []
+        attached_file_context = gather_raw_query_files(query_files)
+
+        generated_images: List[str] = []
+        generated_files: List[FileAttachment] = []
+        generated_mermaidjs_diagram: str = None
+        generated_asset_results: Dict = dict()
+        program_execution_context: List[str] = []
+
         # Create a task to monitor for disconnections
         disconnect_monitor_task = None
 
@@ -727,8 +743,34 @@ async def chat(
             try:
                 msg = await request.receive()
                 if msg["type"] == "http.disconnect":
-                    logger.debug(f"User {user} disconnected from {common.client} client.")
+                    logger.debug(f"Request cancelled. User {user} disconnected from {common.client} client.")
                     cancellation_event.set()
+                    # ensure partial chat state saved on interrupt
+                    # shield the save against task cancellation
+                    if conversation:
+                        await asyncio.shield(
+                            save_to_conversation_log(
+                                q,
+                                chat_response="",
+                                user=user,
+                                meta_log=meta_log,
+                                compiled_references=compiled_references,
+                                online_results=online_results,
+                                code_results=code_results,
+                                operator_results=operator_results,
+                                research_results=research_results,
+                                inferred_queries=inferred_queries,
+                                client_application=request.user.client_app,
+                                conversation_id=conversation_id,
+                                query_images=uploaded_images,
+                                train_of_thought=train_of_thought,
+                                raw_query_files=raw_query_files,
+                                generated_images=generated_images,
+                                raw_generated_files=generated_asset_results,
+                                generated_mermaidjs_diagram=generated_mermaidjs_diagram,
+                                tracer=tracer,
+                            )
+                        )
             except Exception as e:
                 logger.error(f"Error in disconnect monitor: {e}")
 
@@ -746,7 +788,6 @@ async def chat(
             nonlocal ttft, train_of_thought
             event_delimiter = "␃🔚␗"
             if cancellation_event.is_set():
-                logger.debug(f"User {user} disconnected from {common.client} client. Setting cancellation event.")
                 return
             try:
                 if event_type == ChatEvent.END_LLM_RESPONSE:
@@ -770,9 +811,6 @@ async def chat(
                     yield data
                 elif event_type == ChatEvent.REFERENCES or ChatEvent.METADATA or stream:
                     yield json.dumps({"type": event_type.value, "data": data}, ensure_ascii=False)
-            except asyncio.CancelledError as e:
-                if cancellation_event.is_set():
-                    logger.debug(f"Request cancelled. User {user} disconnected from {common.client} client: {e}.")
             except Exception as e:
                 if not cancellation_event.is_set():
                     logger.error(
@@ -883,21 +921,53 @@ async def chat(
         user_message_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
         meta_log = conversation.conversation_log
 
-        researched_results = ""
+        # If interrupt flag is set, wait for the previous turn to be saved before proceeding
-        online_results: Dict = dict()
+        if interrupt_flag:
-        code_results: Dict = dict()
+            max_wait_time = 20.0  # seconds
-        operator_results: Dict[str, str] = {}
+            wait_interval = 0.3  # seconds
-        generated_asset_results: Dict = dict()
+            wait_start = wait_current = time.time()
-        ## Extract Document References
+            while wait_current - wait_start < max_wait_time:
-        compiled_references: List[Any] = []
+                # Refresh conversation to check if interrupted message saved to DB
-        inferred_queries: List[Any] = []
+                conversation = await ConversationAdapters.aget_conversation_by_user(
-        file_filters = conversation.file_filters if conversation and conversation.file_filters else []
+                    user,
-        attached_file_context = gather_raw_query_files(query_files)
+                    client_application=request.user.client_app,
+                    conversation_id=conversation_id,
+                )
+                if (
+                    conversation
+                    and conversation.messages
+                    and conversation.messages[-1].by == "khoj"
+                    and not conversation.messages[-1].message
+                ):
+                    logger.info(f"Detected interrupted message save to conversation {conversation_id}.")
+                    break
+                await asyncio.sleep(wait_interval)
+                wait_current = time.time()
 
-        generated_images: List[str] = []
+            if wait_current - wait_start >= max_wait_time:
-        generated_files: List[FileAttachment] = []
+                logger.warning(
-        generated_mermaidjs_diagram: str = None
+                    f"Timeout waiting to load interrupted context from conversation {conversation_id}. Proceed without previous context."
-        program_execution_context: List[str] = []
+                )
+
+        # If interrupted message in DB
+        if (
+            conversation
+            and conversation.messages
+            and conversation.messages[-1].by == "khoj"
+            and not conversation.messages[-1].message
+        ):
+            # Populate context from interrupted message
+            last_message = conversation.messages[-1]
+            online_results = {key: val.model_dump() for key, val in last_message.onlineContext.items() or []}
+            code_results = {key: val.model_dump() for key, val in last_message.codeContext.items() or []}
+            operator_results = last_message.operatorContext or {}
+            compiled_references = [ref.model_dump() for ref in last_message.context or []]
+            research_results = [
+                InformationCollectionIteration(**iter_dict) for iter_dict in last_message.researchContext or []
+            ]
+            # Drop the interrupted message from conversation history
+            meta_log["chat"].pop()
+            logger.info(f"Loaded interrupted partial context from conversation {conversation_id}.")
 
         if conversation_commands == [ConversationCommand.Default]:
             try:
@@ -936,6 +1006,7 @@ async def chat(
                 return
 
         defiltered_query = defilter_query(q)
+        file_filters = conversation.file_filters if conversation and conversation.file_filters else []
 
         if conversation_commands == [ConversationCommand.Research]:
             async for research_result in execute_information_collection(
@@ -943,12 +1014,13 @@ async def chat(
                 query=defiltered_query,
                 conversation_id=conversation_id,
                 conversation_history=meta_log,
+                previous_iterations=research_results,
                 query_images=uploaded_images,
                 agent=agent,
                 send_status_func=partial(send_event, ChatEvent.STATUS),
                 user_name=user_name,
                 location=location,
-                file_filters=conversation.file_filters if conversation else [],
+                file_filters=file_filters,
                 query_files=attached_file_context,
                 tracer=tracer,
                 cancellation_event=cancellation_event,
@@ -963,17 +1035,16 @@ async def chat(
                             compiled_references.extend(research_result.context)
                         if research_result.operatorContext:
                             operator_results.update(research_result.operatorContext)
-                        researched_results += research_result.summarizedResult
+                        research_results.append(research_result)
 
                 else:
                     yield research_result
 
             # researched_results = await extract_relevant_info(q, researched_results, agent)
             if state.verbose > 1:
-                logger.debug(f"Researched Results: {researched_results}")
+                logger.debug(f'Researched Results: {"".join(r.summarizedResult for r in research_results)}')
 
         used_slash_summarize = conversation_commands == [ConversationCommand.Summarize]
-        file_filters = conversation.file_filters if conversation else []
         # Skip trying to summarize if
         if (
             # summarization intent was inferred
@@ -1362,7 +1433,7 @@ async def chat(
 
         # Check if the user has disconnected
         if cancellation_event.is_set():
-            logger.debug(f"User {user} disconnected from {common.client} client. Stopping LLM response.")
+            logger.debug(f"Stopping LLM response to user {user} on {common.client} client.")
             # Cancel the disconnect monitor task if it is still running
             await cancel_disconnect_monitor()
             return
@@ -1379,13 +1450,13 @@ async def chat(
             online_results,
             code_results,
             operator_results,
+            research_results,
             inferred_queries,
             conversation_commands,
             user,
             request.user.client_app,
             location,
             user_name,
-            researched_results,
             uploaded_images,
             train_of_thought,
             attached_file_context,

src/khoj/routers/api_model.py

@@ -72,7 +72,7 @@ async def update_chat_model(
     if chat_model is None:
         return Response(status_code=404, content=json.dumps({"status": "error", "message": "Chat model not found"}))
     if not subscribed and chat_model.price_tier != PriceTier.FREE:
-        raise Response(
+        return Response(
             status_code=403,
             content=json.dumps({"status": "error", "message": "Subscribe to switch to this chat model"}),
         )
@@ -108,7 +108,7 @@ async def update_voice_model(
     if voice_model is None:
         return Response(status_code=404, content=json.dumps({"status": "error", "message": "Voice model not found"}))
     if not subscribed and voice_model.price_tier != PriceTier.FREE:
-        raise Response(
+        return Response(
             status_code=403,
             content=json.dumps({"status": "error", "message": "Subscribe to switch to this voice model"}),
         )
@@ -143,7 +143,7 @@ async def update_paint_model(
     if image_model is None:
         return Response(status_code=404, content=json.dumps({"status": "error", "message": "Image model not found"}))
     if not subscribed and image_model.price_tier != PriceTier.FREE:
-        raise Response(
+        return Response(
             status_code=403,
             content=json.dumps({"status": "error", "message": "Subscribe to switch to this image model"}),
         )

src/khoj/routers/helpers.py

@@ -94,6 +94,7 @@ from khoj.processor.conversation.openai.gpt import (
 )
 from khoj.processor.conversation.utils import (
     ChatEvent,
+    InformationCollectionIteration,
     ResponseWithThought,
     clean_json,
     clean_mermaidjs,
@@ -1355,13 +1356,13 @@ async def agenerate_chat_response(
     online_results: Dict[str, Dict] = {},
     code_results: Dict[str, Dict] = {},
     operator_results: Dict[str, str] = {},
+    research_results: List[InformationCollectionIteration] = [],
     inferred_queries: List[str] = [],
     conversation_commands: List[ConversationCommand] = [ConversationCommand.Default],
     user: KhojUser = None,
     client_application: ClientApplication = None,
     location_data: LocationData = None,
     user_name: Optional[str] = None,
-    meta_research: str = "",
     query_images: Optional[List[str]] = None,
     train_of_thought: List[Any] = [],
     query_files: str = None,
@@ -1391,6 +1392,7 @@ async def agenerate_chat_response(
             online_results=online_results,
             code_results=code_results,
             operator_results=operator_results,
+            research_results=research_results,
             inferred_queries=inferred_queries,
             client_application=client_application,
             conversation_id=str(conversation.id),
@@ -1405,8 +1407,10 @@ async def agenerate_chat_response(
 
         query_to_run = q
         deepthought = False
-        if meta_research:
+        if research_results:
-            query_to_run = f"<query>{q}</query>\n<collected_research>\n{meta_research}\n</collected_research>"
+            compiled_research = "".join([r.summarizedResult for r in research_results if r.summarizedResult])
+            if compiled_research:
+                query_to_run = f"<query>{q}</query>\n<collected_research>\n{compiled_research}\n</collected_research>"
             compiled_references = []
             online_results = {}
             code_results = {}

src/khoj/routers/research.py

@@ -1,6 +1,7 @@
 import asyncio
 import logging
 import os
+from copy import deepcopy
 from datetime import datetime
 from enum import Enum
 from typing import Callable, Dict, List, Optional, Type
@@ -141,7 +142,7 @@ async def apick_next_tool(
         query = f"[placeholder for user attached images]\n{query}"
 
     # Construct chat history with user and iteration history with researcher agent for context
-    previous_iterations_history = construct_iteration_history(query, previous_iterations, prompts.previous_iteration)
+    previous_iterations_history = construct_iteration_history(previous_iterations, prompts.previous_iteration, query)
     iteration_chat_log = {"chat": conversation_history.get("chat", []) + previous_iterations_history}
 
     # Plan function execution for the next tool
@@ -212,6 +213,7 @@ async def execute_information_collection(
     query: str,
     conversation_id: str,
     conversation_history: dict,
+    previous_iterations: List[InformationCollectionIteration],
     query_images: List[str],
     agent: Agent = None,
     send_status_func: Optional[Callable] = None,
@@ -227,11 +229,20 @@ async def execute_information_collection(
     max_webpages_to_read = 1
     current_iteration = 0
     MAX_ITERATIONS = int(os.getenv("KHOJ_RESEARCH_ITERATIONS", 5))
-    previous_iterations: List[InformationCollectionIteration] = []
+
+    # Incorporate previous partial research into current research chat history
+    research_conversation_history = deepcopy(conversation_history)
+    if current_iteration := len(previous_iterations) > 0:
+        logger.info(f"Continuing research with the previous {len(previous_iterations)} iteration results.")
+        previous_iterations_history = construct_iteration_history(previous_iterations, prompts.previous_iteration)
+        research_conversation_history["chat"] = (
+            research_conversation_history.get("chat", []) + previous_iterations_history
+        )
+
     while current_iteration < MAX_ITERATIONS:
         # Check for cancellation at the start of each iteration
         if cancellation_event and cancellation_event.is_set():
-            logger.debug(f"User {user} disconnected client. Research cancelled.")
+            logger.debug(f"Research cancelled. User {user} disconnected client.")
             break
 
         online_results: Dict = dict()
@@ -243,7 +254,7 @@ async def execute_information_collection(
 
         async for result in apick_next_tool(
             query,
-            conversation_history,
+            research_conversation_history,
             user,
             location,
             user_name,

src/khoj/utils/rawconfig.py

@@ -168,6 +168,7 @@ class ChatRequestBody(BaseModel):
     images: Optional[list[str]] = None
     files: Optional[list[FileAttachment]] = []
     create_new: Optional[bool] = False
+    interrupt: Optional[bool] = False
 
 
 class Entry: