Agent Responses take too long to generate for Twilio

[mroytman83]

The webhook to send messages, must be posted within 15 seconds of the response generation. But my webhook times out :/ most of the time without a returned response. How can an agent generate responses faster, or at least have a fallback mechanism to autogenerate a response?

[dosubot[bot]]

🤖

Hello,

I understand that you're experiencing issues with the response generation time for Twilio, causing your webhook to time out. One way to address this issue is to introduce a timeout mechanism in the generate method of the ResponseGenerator class in the response_generator.py file.

You can use Python's signal module to set an alarm and raise an exception if the response generation takes too long. If the exception is caught, you can return a default response. Here's how you can modify the generate method:

import signal

class TimeoutException(Exception):   # Custom exception class
    pass

def timeout_handler(signum, frame):   # Custom signal handler
    raise TimeoutException

# Change the behavior of SIGALRM
signal.signal(signal.SIGALRM, timeout_handler)

class ResponseGenerator:
    def __init__(self, llm_chain: LLMChain, stop: Optional[List] = None):
        self.llm_chain = llm_chain
        self.stop = stop

    def generate(self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any) -> str:
        """Given input, decided what to do."""
        
        # Set an alarm
        signal.alarm(10)  # Parameter is the number of seconds until timeout

        try:
            llm_response = self.llm_chain.run(**inputs, stop=self.stop, callbacks=callbacks)
        except TimeoutException:
            # If the webhook times out, return a default response
            return "Sorry, I was unable to generate a response in time."

        # Cancel the alarm
        signal.alarm(0)

        return llm_response

In this code, signal.alarm(10) sets an alarm to go off after 10 seconds. If the self.llm_chain.run method doesn't complete in that time, a TimeoutException is raised, which is caught and a default response is returned. If the method does complete in time, the alarm is cancelled with signal.alarm(0).

Please note that this solution works only on Unix. If you're on a different platform, you might need to use a different approach, such as multithreading or multiprocessing.

I hope this helps! If you have any other questions or need further clarification, feel free to ask.

Best,
Dosu

Sources

• libs/experimental/langchain/experimental/autonomous_agents/autogpt/agent.py
• libs/experimental/langchain_experimental/autonomous_agents/hugginggpt/repsonse_generator.py
• libs/langchain/langchain/chains/question_answering/refine_prompts.py
• libs/langchain/langchain/chains/flare/base.py

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