Comments (5)
I found a "hacky" way by getting the parameter from the 'request' object which is passed to the tool 'call' method, but it feels a little weird, no?
from chatbot.
your "hacky" way of doing this is the way that i designed it to work 😄
do you have any thoughts on a way that'd feel better to you?
my though with this implemention, passing the request, is in case the request contains credentials like an access token that you don't want to persist to custom user data.
an alternative that's not currently possible would be to parse any request credentials in middleware and include anything that you want for protected actions in the Response.locals
, and then use that in the tool call. With that being said, the Response
obj isn't currently accessible from the tool call function, so we'd need to add that logic.
from chatbot.
I was thinking I could get the CustomData (since it is already parsing the request and augmenting it with my own data)
from chatbot.
I was thinking I could get the CustomData (since it is already parsing the request and augmenting it with my own data)
yeah that could work if whatever you're looking to include in the request you can also safely store in your DB.
from chatbot.
my goal is to be able to retrieve user information that can be fed to the LLM
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Related Issues (19)
- `ApiConversations` service
- `POST /api-conversation` endpoint to create api conversation for api chat session
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- Documentation improvement: Booster HOT 3
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- Getting access to usage tokens HOT 1
- Adapting UI for Light Mode Users
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- Add ModalView properties to set the chat icons HOT 1
- mongodb-chatbot-evaluation ready to use? HOT 2
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from chatbot.