Initial goex commit #336
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Initial goex commit #336
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- Respect `model` parameter in `user_config.json`, passing it down from the CLI to where `chat_completion` is called - Added python3 venv as another virtual environment option - Added missing file dependencies - Nit refactor for the README
Addressed bugs, and thoroughly tested with both Option 1 and 2, start to finish for all the examples, for all DB types. - README `fspath` -> `fs_path` - README added git lfs installation instructions, Press ctrl-d to exit out of the shell after sqlite3 creation - DB Prompt formatting - SQLite bug when executing multiple SQL statements at once, now it actually works - Missing images.json -> Added - FS too many git initializations -> only initializes once per execute - FS initial commit now adds all the directory content - Missing `.env` from `.gitignore` -> Added
devanshamin
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Jul 9, 2024
We introduce GoEx, a runtime for LLMs with an intuitive `undo` and `blast-radius confinement` abstractions, enabling the safer deployment of LLM agents in practice. Paper: https://arxiv.org/abs/2404.06921 --------- Co-authored-by: Noppapon (Neun) Chalermchockcharoenkit <76277934+Noppapon@users.noreply.github.com> Co-authored-by: Roy Huang <hyfdudu@gmail.com> Co-authored-by: Aaron Hao <aaronhao@berkeley.edu> Co-authored-by: Tianjun Zhang <tianjunz@Tianjuns-MacBook-Pro.local> Co-authored-by: Gil Vernik <gvernik@gmail.com>
aw632
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Aug 22, 2024
We introduce GoEx, a runtime for LLMs with an intuitive `undo` and `blast-radius confinement` abstractions, enabling the safer deployment of LLM agents in practice. Paper: https://arxiv.org/abs/2404.06921 --------- Co-authored-by: Noppapon (Neun) Chalermchockcharoenkit <76277934+Noppapon@users.noreply.github.com> Co-authored-by: Roy Huang <hyfdudu@gmail.com> Co-authored-by: Aaron Hao <aaronhao@berkeley.edu> Co-authored-by: Tianjun Zhang <tianjunz@Tianjuns-MacBook-Pro.local> Co-authored-by: Gil Vernik <gvernik@gmail.com>
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We introduce GoEx, a runtime for LLMs with an intuitive
undoandblast-radius confinementabstractions, enabling the safer deployment of LLM agents in practice.Paper: https://arxiv.org/abs/2404.06921