Sometimes I'm running into API connection errors / other errors with model providers that gets logged by the LiveKit framework. Is there a way I can capture these so I can log them somewhere else? ie: raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.

It seems likely that you can capture API connection errors and other exceptions in LiveKit by using the

log_exceptions

function from the

livekit.agents.utils.log

module. This function allows you to log exceptions with a custom message and logger, which you can then redirect to your desired logging service or file. According to the LiveKit documentation, you can use this function to wrap your asynchronous functions and handle exceptions in a centralized manner. Would you like more detail on how to implement this in your code? Sources: - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

show me an example of how I might do this

To capture and log exceptions using the

log_exceptions

function in LiveKit, you can wrap your asynchronous functions with it. Here's an example of how you might implement this:

import logging
from livekit.agents.utils.log import log_exceptions

# Set up your logger
logger = logging.getLogger('my_custom_logger')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler('my_log_file.log')
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)

@log_exceptions(logger=logger)
async def my_async_function():
    # Your code that might raise exceptions
    try:
        # Simulate an API call that might timeout
        raise TimeoutError("Simulated API timeout error")
    except TimeoutError as e:
        logger.error("Caught an API timeout error: %s", e)
        # Handle the exception as needed

# Run your async function
import asyncio
asyncio.run(my_async_function())

In this example,

log_exceptions

is used to wrap

my_async_function

, which simulates an API call that might raise a

TimeoutError

. The logger is configured to write logs to a file named

my_log_file.log

. When an exception occurs, it is logged with a custom message. Would you like more information on this? Sources: - https://docs.livekit.io/home/client/data/rpc/#Errors - https://docs.livekit.io/client-sdk-js/#md%3Aaudio-playback 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

I want to capture any error that might come through, not simulate @millions-hair-24956

It seems likely that you can capture any error that might occur in your LiveKit application by using a combination of exception handling and the

log_exceptions

function. Here's how you can set it up to capture and log any errors that occur during the execution of your asynchronous functions:

import logging
from livekit.agents.utils.log import log_exceptions

# Set up your logger
logger = logging.getLogger('my_custom_logger')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler('my_log_file.log')
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)

@log_exceptions(logger=logger)
async def my_async_function():
    try:
        # Your code that might raise exceptions
        # For example, an API call
        result = await some_api_call()
    except Exception as e:
        logger.error("An error occurred: %s", e)
        # Handle the exception as needed

# Run your async function
import asyncio
asyncio.run(my_async_function())

In this setup,

log_exceptions

is used to wrap

my_async_function

, which will automatically log any exceptions that occur. The

except Exception as e

block ensures that any exception, regardless of type, is caught and logged. Would you like more information on this? Sources: - https://docs.livekit.io/home/client/data/rpc/#Errors - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1728976280.831589 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

I basically want to log any exceptions that happen within a room @millions-hair-24956

It seems likely that you can log any exceptions that occur within a LiveKit room by setting up a centralized error handling mechanism using the

log_exceptions

function. This function can be used to wrap the main logic of your room operations, ensuring that any exceptions are captured and logged. Here's an example of how you might implement this:

import logging
from livekit.agents.utils.log import log_exceptions

# Set up your logger
logger = logging.getLogger('room_logger')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler('room_exceptions.log')
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)

@log_exceptions(logger=logger)
async def manage_room(room):
    try:
        # Connect to the room
        await room.connect()
        # Perform room operations
        # For example, handle participants, publish tracks, etc.
    except Exception as e:
        logger.error("An error occurred in the room: %s", e)
        # Handle the exception as needed

# Example usage
import asyncio
from livekit.rtc.room import Room

async def main():
    room = Room()
    await manage_room(room)

asyncio.run(main())

In this example,

manage_room

is an asynchronous function that handles room operations. The

log_exceptions

decorator ensures that any exceptions occurring within the function are logged to

room_exceptions.log

. Would you like more information on this? Sources: - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1728516300.770279 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

i don't want it to go to a logger, but simply to a function that prints whatever errors occur... @millions-hair-24956

It seems likely that you can modify the

log_exceptions

function to call a custom function that prints errors instead of logging them. Here's how you can set it up:

from livekit.agents.utils.log import log_exceptions

# Define a custom function to print errors
def print_error(msg):
    print(f"Error occurred: {msg}")

# Wrap your asynchronous function with log_exceptions
@log_exceptions(logger=None)  # Pass None to avoid using a logger
async def manage_room(room):
    try:
        # Connect to the room
        await room.connect()
        # Perform room operations
    except Exception as e:
        print_error(e)

# Example usage
import asyncio
from livekit.rtc.room import Room

async def main():
    room = Room()
    await manage_room(room)

asyncio.run(main())

In this setup, the

print_error

function is used to print any exceptions that occur. The

log_exceptions

decorator is still used, but you can pass

None

for the logger if you want to handle the error printing manually within the function. Would you like more information on this? Sources: - https://docs.livekit.io/client-sdk-android/livekit-android-sdk/io.livekit.android.room/-room-exception/index.html#livekit-android-sdk-nav-submenu-10-14-3 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

i want to capture exceptions that maybe happen latter than connect, for example during a response.create() call, will this still catch those? @millions-hair-24956

It seems likely that to capture exceptions occurring later in the lifecycle of a LiveKit room, such as during a

response.create()

call, you should wrap each operation that might raise an exception with a try-except block. The

log_exceptions

function is useful for wrapping entire functions, but for more granular control, you should handle exceptions at the point where they might occur. Here's an example:

async def manage_room(room):
    try:
        # Connect to the room
        await room.connect()
    except Exception as e:
        print(f"Error during connection: {e}")

    try:
        # Example of a later operation that might raise an exception
        response = await room.response.create()
    except Exception as e:
        print(f"Error during response creation: {e}")

# Example usage
import asyncio
from livekit.rtc.room import Room

async def main():
    room = Room()
    await manage_room(room)

asyncio.run(main())

In this example, each potentially error-prone operation is wrapped in its own try-except block, allowing you to capture and handle exceptions as they occur throughout the room's lifecycle. Would you like more information on this? Sources: - https://docs.livekit.io/home/client/data/rpc/ - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1730233417.503479 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.