feat: rai_whoami #540
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feat: rai_whoami #540
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@maciejmajek
I briefly checked the new structure and it looks great! I added some minor comments to the code and I have questions:
- How about adding an example of the module usage with rai_core agents.
- Do you plan to add a tool for RAG in the vector database?
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fix: dump model on
chore: rename loaders -> models
feat: export tools
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refactor: minor changes
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I followed instructions in README, sample documentation got from https://github.com/RobotecAI/rai/blob/development/docs/create_robots_whoami.md. |
jmatejcz
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Apr 30, 2025
jmatejcz
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Apr 30, 2025
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Purpose
rai_whoami has been one of the first packages built under the RAI ecosystem. During migration from 1.x to 2.x, the package has been removed to make space for a new solution designed from the ground up.
rai_whoami allows automatic documentation parsing (images, documens, urdfs) into EmbodimentInfo (e.g., rules, capabilities, system prompt...)
Proposed Changes
Issues
#489 #470
Testing