File system intelligence tool — agentic directory analysis via Claude API
The survey pass now actually steers dir loop behavior, in two ways:
1. Prompt injection: a new {survey_context} placeholder in
_DIR_SYSTEM_PROMPT receives the survey description, approach,
domain_notes, relevant_tools, and skip_tools so the dir-loop agent
has investigation context before its first turn.
2. Tool schema filtering: _filter_dir_tools() removes any tool listed
in skip_tools from the schema passed to the API, gated on
survey confidence >= 0.5. Control-flow tools (submit_report) are
always preserved. This is hard enforcement — the agent literally
cannot call a filtered tool, which the smoke test for #5 showed
was necessary (prompt-only guidance was ignored).
Smoke test on luminos_lib: zero run_command invocations (vs 2 before),
context budget no longer exhausted (87k vs 133k), cost ~$0.34 (vs
$0.46), investigation completes instead of early-exiting.
Adds tests/test_ai_filter.py with 14 tests covering _filter_dir_tools
and _format_survey_block — both pure helpers, no live API needed.
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| docs | ||
| luminos_lib | ||
| tests | ||
| .gitignore | ||
| CLAUDE.md | ||
| luminos.py | ||
| PLAN.md | ||
| setup_env.sh | ||