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memory 50mb per deployed bot #36
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I may add a sqlite db to manage users/rooms in matrix, so one instance is enough.
And langchain command can bind a specific api endpoint or inherit from global configuration. Besides, add an |
yay looking forward. thanks |
I am refactoring the code and need some time. |
I will add some commands for langchain admin.
|
yup thanks. commands are useful and thanks for refactor |
Hi, i tried to use this bot for langchain through flowise.
each bot deployed uses approx 50mb RAM.
The way we deployed is to have seperate bots for each user. like there are multiple agents you can create in flowise.. so each user is able to create a new bot for a new agent they add in flowise.
however, this is not at all scalable as 100bots would consume 5gb ram.
is there a way to lower the memory if we are just using !lc command for flowise.
or would a serverless deploy option be ideal in this use case
alternative:
we could.i.plement one bot for flowise and the user selects the agent with !agent command.. but that would have to be done for everyroom everytime the user is accessing flowise related bots i guess.
what do you suggest. thanks
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