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- Added LICENSE file
* start implementation of rlhf inspired dataset generation methods * started implementing the human in the loop dataset generation using langgraph * small change * added the tree validator node * added simulator node * added ui for simulation with metrics by the side * datapoint saving works, need to save in proper json format * dataset now saves as json, main datapoint creation loop works, onto fail cases and feedback * added UI to saver node to decide to continue generating or exit generation * added human feedback node, now users can give feedback on previus attempt * added proper class dependant system prompt builder * start router node * added failure message for trees not passing validator * added proper dataset size tracking * started unified implementation with persistent ui * added functionality to ui to explore current dataset * added functionality for displaying agent capabilities * added agent class as param and imporved node listing visibility * clean up, started checking code tools * parameterized environment and simulation config for generelization * separated args for environment and sim config for clarity * fixed leftover mypy errors for agent control package * fixed ui workflow * fixed all pyflakes errors * fixed pydocstyle errors * cleaned up code and fixed msot errors, will build example * first version of polished rlhf dataset gen
* updated paper link and authorship * fixed toml error
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updated paper link and authorship
fixed toml error