Is your feature request related to a problem? Please describe.
I'm building a customer service voice-bot and time to first utterance (a. time to yield first sentence) is critical for creating a synchronous LLM conversation CX. However, current commercial API's provide c. 50 tokens/second on a good day. If the first utterance has more than 20 words, then the entire latency budget is blown. Caching is the obvious solution and, in particular semantic caching, as exemplified by cacheGPT (6.1k stars) in order to use natural language understanding to hit the cache.
Hey @mattma1970 , I have created this integration in GPTCache. Let me know if you find it useful, or any suggestions/improvements, or if there are any bugs. Looking forward to feedback!
Is your feature request related to a problem? Please describe. I'm building a customer service voice-bot and time to first utterance (a. time to yield first sentence) is critical for creating a synchronous LLM conversation CX. However, current commercial API's provide c. 50 tokens/second on a good day. If the first utterance has more than 20 words, then the entire latency budget is blown. Caching is the obvious solution and, in particular semantic caching, as exemplified by cacheGPT (6.1k stars) in order to use natural language understanding to hit the cache.
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