Here are some features of the loop:
-
The agent is stateful. State is derived from the rules the agent is fed with.
-
The agent's workspace is a .ipynb notebook (using nbclient).
-
It should be able to read all types of outputs (text, dataframes, images) from cell outputs and choose to either take corrective steps or progress through the next state.
-
We want to use Python and eventually use it with a JupyterLab backend.
FYI: @tkpratardan @gpsaggese
Here are some features of the loop:
The agent is stateful. State is derived from the rules the agent is fed with.
The agent's workspace is a
.ipynbnotebook (using nbclient).It should be able to read all types of outputs (text, dataframes, images) from cell outputs and choose to either take corrective steps or progress through the next state.
We want to use Python and eventually use it with a JupyterLab backend.
FYI: @tkpratardan @gpsaggese