how do I solve error: ERROR livekit.agents - unhandled exception while running the job task Traceback (most recent call last): File "C:\Users\User\Desktop\GoIT\ML-application-\main.py", line 27, in entrypoint fnc_ctx = AssistantFnc(ctx) ^^^^^^^^^^^^^^^^^ File "C:\Users\User\Desktop\GoIT\ML-application-\api.py", line 26, in init self.ctx.room.on("data_received", self._handle_data_received_sync) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'AssistantFnc' object has no attribute '_handle_data_received_sync'

It seems likely that the error is due to the

AssistantFnc

class not having a method named

_handle_data_received_sync

. This could be a simple oversight where the method is either not defined or incorrectly named in your class. You should check the

AssistantFnc

class definition in your

api.py

file to ensure that the

_handle_data_received_sync

method is properly defined and matches the name used in the

self.ctx.room.on("data_received", self._handle_data_received_sync)

line. Would you like more detail on how to define or troubleshoot this method? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1733309902.031779 - https://livekit-users.slack.com/archives/C07FRP66XGE/p1730288245.597009 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 class AssistantFnc(llm.FunctionContext): def __init__(self, ctx: JobContext) -> None: super().__init__() self.ctx = ctx # Store the job context to access

room

self.responses = {} # Ensure responses dictionary is initialized # Attach synchronous wrapper for the async function self.ctx.room.on("data_received", self._handle_data_received_sync) @llm.ai_callable(description="Start the GDS-15 depression survey") async def start_survey(self): """Starts the survey and asks the first question.""" self.responses.clear() # Reset responses before starting return await self.ask_next_question() @llm.ai_callable(description="Receive response and continue with the next question") async def answer_question( self, question: Annotated[GDSQuestion, llm.TypeInfo(description="The current question being answered")], answer: Annotated[str, llm.TypeInfo(description="User's response, should be 'yes' or 'no'")] ): """Processes the answer and moves to the next question or completes the survey.""" logger.info(f"Recording response: {question.name} -> {answer.upper()}") # Store response self.responses[question.name] = answer.strip().lower() # Send response as a data message await self.publish_data({"question": question.name, "response": answer.lower()}) # Continue survey return await self.ask_next_question() async def ask_next_question(self): """Finds the next question and asks it.""" for q in GDSQuestion: if q.name not in self.responses: question_text = f"Question {len(self.responses) + 1}: {q.value} (Yes/No)" logger.info(f"Asking next question: {question_text}") # Send the question via LiveKit data message await self.publish_data({"question": q.name, "text": q.value}) return question_text return await self.calculate_score() async def on_data_received(self, data: rtc.DataPacket): """Handles incoming data messages containing yes/no responses.""" try: message = json.loads(data.data.decode("utf-8")) logger.info(f"Received Data: {message}") if "question" in message and "response" in message: question = message["question"] response = message["response"] # Store the received response self.responses[question] = response logger.info(f" Stored response: {question} -> {response}") # Continue the survey await self.ask_next_question() except json.JSONDecodeError: logger.error("Failed to decode received data.") async def publish_data(self, payload: dict): """Publishes a message to all participants.""" try: encoded_data = json.dumps(payload).encode("utf-8") await self.ctx.room.local_participant.publish_data( encoded_data, reliable=True, topic="survey_responses" ) logger.info(f"Sent Data: {payload}") except Exception as e: logger.error(f"Error sending data: {e}") async def calculate_score(self): """Calculates the depression score based on responses.""" score = 0 for q, response in self.responses.items(): if response == "yes" and q in DEPRESSIVE_YES_ANSWERS: score += 1 elif response == "no" and q in DEPRESSIVE_NO_ANSWERS: score += 1 # Generate results conclusion = "Your depression screening result:\n" if score <= 4: conclusion += " Normal mood, no significant depression detected." elif 5 <= score <= 8: conclusion += "Mild depression detected. Further assessment is recommended." else: conclusion += "Severe depression detected. Seek medical advice." # Send the result as a data message await self.publish_data({"result": conclusion}) return conclusion how do i fix this code with taht error ERROR livekit.agents - unhandled exception while running the job task Traceback (most recent call last): File "C:\Users\User\Desktop\GoIT\ML-application-\main.py", line 27, in entrypoint fnc_ctx = AssistantFnc(ctx) ^^^^^^^^^^^^^^^^^ File "C:\Users\User\Desktop\GoIT\ML-application-\api.py", line 26, in init self.ctx.room.on("data_received", self._handle_data_received_sync) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'AssistantFnc' object has no attribute '_handle_data_received_sync'

It seems likely that the error is due to the absence of a

_handle_data_received_sync

method in your

AssistantFnc

class. The line

self.ctx.room.on("data_received", self._handle_data_received_sync)

is attempting to attach a non-existent method to the

data_received

event. You should either define the

_handle_data_received_sync

method or replace it with the correct method that handles the

data_received

event. Based on your code, it seems like you intended to use the

on_data_received

method for handling data. You can modify the line to use this method instead:

self.ctx.room.on("data_received", self.on_data_received)

Would you like more detail on how to implement this change or troubleshoot further? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1726489922.318249 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 class AssistantFnc(llm.FunctionContext): def __init__(self, ctx: JobContext) -> None: super().__init__() self.ctx = ctx # Store the job context to access

room

self.responses = {} # Ensure responses dictionary is initialized # Attach synchronous wrapper for the async function self.ctx.room.on("data_received", self.on_data_received) @llm.ai_callable(description="Start the GDS-15 depression survey") async def start_survey(self): """Starts the survey and asks the first question.""" self.responses.clear() # Reset responses before starting return await self.ask_next_question() @llm.ai_callable(description="Receive response and continue with the next question") async def answer_question( self, question: Annotated[GDSQuestion, llm.TypeInfo(description="The current question being answered")], answer: Annotated[str, llm.TypeInfo(description="User's response, should be 'yes' or 'no'")] ): """Processes the answer and moves to the next question or completes the survey.""" logger.info(f"Recording response: {question.name} -> {answer.upper()}") # Store response self.responses[question.name] = answer.strip().lower() # Send response as a data message await self.publish_data({"question": question.name, "response": answer.lower()}) # Continue survey return await self.ask_next_question() async def ask_next_question(self): """Finds the next question and asks it.""" for q in GDSQuestion: if q.name not in self.responses: question_text = f"Question {len(self.responses) + 1}: {q.value} (Yes/No)" logger.info(f"Asking next question: {question_text}") # Send the question via LiveKit data message await self.publish_data({"question": q.name, "text": q.value}) return question_text return await self.calculate_score() async def on_data_received(self, data: rtc.DataPacket): """Handles incoming data messages containing yes/no responses.""" try: message = json.loads(data.data.decode("utf-8")) logger.info(f"Received Data: {message}") if "question" in message and "response" in message: question = message["question"] response = message["response"] # Store the received response self.responses[question] = response logger.info(f"Stored response: {question} -> {response}") # Continue the survey await self.ask_next_question() except json.JSONDecodeError: logger.error("Failed to decode received data.") async def publish_data(self, payload: dict): """Publishes a message to all participants.""" try: encoded_data = json.dumps(payload).encode("utf-8") await self.ctx.room.local_participant.publish_data( encoded_data, reliable=True, topic="survey_responses" ) logger.info(f"Sent Data: {payload}") except Exception as e: logger.error(f"Error sending data: {e}") async def calculate_score(self): """Calculates the depression score based on responses.""" score = 0 for q, response in self.responses.items(): if response == "yes" and q in DEPRESSIVE_YES_ANSWERS: score += 1 elif response == "no" and q in DEPRESSIVE_NO_ANSWERS: score += 1 # Generate results conclusion = "Your depression screening result:\n" if score <= 4: conclusion += "Normal mood, no significant depression detected." elif 5 <= score <= 8: conclusion += "Mild depression detected. Further assessment is recommended." else: conclusion += "Severe depression detected. Seek medical advice." # Send the result as a data message await self.publish_data({"result": conclusion}) return conclusion livekit.agents - unhandled exception while running the job task Traceback (most recent call last): File "C:\Users\User\Desktop\GoIT\ML-application-\main.py", line 27, in entrypoint fnc_ctx = AssistantFnc(ctx) ^^^^^^^^^^^^^^^^^ File "C:\Users\User\Desktop\GoIT\ML-application-\api.py", line 26, in init self.ctx.room.on("data_received", self.on_data_received) File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\livekit\rtc\room.py", line 313, in on return super().on(event, callback) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\livekit\rtc\event_emitter.py", line 161, in on raise ValueError( ValueError: Cannot register an async callback with

.on()

. Use

asyncio.create_task

within your synchronous callback instead.

The error you're encountering is due to attempting to register an asynchronous function (

on_data_received

) directly with the

.on()

method, which only supports synchronous callbacks. To resolve this, you should wrap the asynchronous function call within a synchronous callback using

asyncio.create_task

. Here's how you can modify your code: Replace the line in the

__init__

method:

self.ctx.room.on("data_received", self.on_data_received)

With:

self.ctx.room.on("data_received", lambda data: asyncio.create_task(self.on_data_received(data)))

This change ensures that the

on_data_received

function is called asynchronously, which is compatible with the

.on()

method's requirements. Would you like more detail on this solution or further assistance? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1731565699.055979 👍 1 button 👎 0 button 💡 Hint: Mention @millions-hair-24956 in the thread for followups.