dev agents agent_encode

Agent Encode Open Research

It's easy to encode something somehow, but we need strict evals to validate agent understanding. Two pronged approach here

1. agent just understands the data that was sent to it.
2. agent accesses an easy to inspect object (PointCloud2) and then uses python repl to investigate it

• Good example

  • good example of a natural agent encode would be audio transcription

• How can we encode flat map for an agent to understand?

  • someone worked on this for maps (without success but good convo to understand our eval considerations https://github.com/dimensionalOS/dimos/pull/822)
  • how many rooms there are?
  • where is the smallest room?
  • take a hallway then turn left
  • go to second room on your right
  • approaches for this: VLM understanding costmap image seems difficult (see the PR above) but maybe numpy array agent can investigate with tools? some goofy ascii encoding? json? idk

• How can we encode a pointcloud for an agent to understand?

  • egocentric probably very important.
  • how good is agent at using py repl to investigate a PointCloud2?