support rate limit about streamlit-agent

[Muhtasham]

maybe you can try this, described here

When a request to your llm app fails, reliableGPT handles it by:

Retrying with an alternate model - GPT-4, GPT3.5, GPT3.5 16k, text-davinci-003
Retrying with a larger context window model for Context Window Errors
Sending a Cached Response (using semantic similarity)
Retry with a fallback API key for Invalid API Key errors

[sfc-gh-jcarroll]

Hi @askintution , minimally you can do try/catch on the agent.run call to handle the error (such as printing a friendly st.error() or having the assistant respond with a useful message)

try:
    response = agent.run(user_input, callbacks=[st_callback])
except: # or filter to certain errors you know about like openai.AuthenticationError
    st.error("Encountered an error, try again later")

LangChain also has some throttling and automatic retry support for the case where rate limit is due to frequent requests. It's outside the scope of reference implementations in this repository but you can find ideas in LangChain documentation and user issues 😄