opencrabs 0.5.4

The autonomous, self-improving AI agent. Single Rust binary. Every channel. Recommended: the 40MB prebuilt binary for macOS, Linux and Windows: https://github.com/adolfousier/opencrabs/releases
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# /architecture-explain: opt-in LLM annotation of the built-in mechanical tree.
# Copy this fragment into ~/.opencrabs/commands.toml (see README.md in this
# directory). COSTS TOKENS on every run: the built-in /architecture gives you
# the tree for free; this fragment only adds the model's one-line purposes.
[[commands]]
name = "/architecture-explain"
description = "Annotate a directory tree with one-line purposes (LLM, costs tokens)"
action = "prompt"
prompt = """Run the built-in /architecture command for the path the user gave (or the
working directory if none) to get the mechanical tree, then produce a compact
annotated version: one line per entry, `name : purpose`, where purpose is a
single concise clause inferred from the entry's name, its siblings, and (only
where the name is ambiguous) a quick peek inside. Do not dump file contents.
Keep the tree's own indentation. If the tree is larger than ~60 entries,
annotate only the directories and note how many files each holds. Finish with
one sentence on what this subtree is for overall."""