[
Before it was a list of a dict of lists of lists of strings
now it is a dict of lists of lists of strings as prescribed by architecture (knowledge base)
*also added some tests, but will have to add some more
]
[ref]: N25B-206
[
- Currently implements belief collection from text-based mock agent.
- The beliefs communicated by this agent look like this:
{
"type": "belief_extraction_text",
"beliefs": [
{"user_said": [["hello"],["Can you help me?"],["stop talking to me"],["No"],["Pepper do a dance"]]}
]
}
* have yet to add tests (but we want to merge into Dev. asap)
]
[ref]: N25B-206
Main BDI brain structure implemented. Still some TODOs left, and very
basic implementation (only one belief "user_said(Message)" and every
message is sent straight to a function which is responsible for getting
an LLM response.
ref: N25B-197
Inside the `/message` enpoint we put a message onto the internal event
queue, which gets read by TestAgent. This agent, in turn, logs the
message (temporary behaviour until we implement RI integration).
The name TestAgent is of course temporary, this is just for exploratory
purposes.
ref: N25B-165
