parseforge 0.2.1

LLM-driven pipeline that forges, validates, and promotes TextFSM templates from network CLI output

ParseForge

LLM-driven pipeline that forges, cross-validates, and promotes TextFSM templates from network device CLI output.

Full design plan: SPEC.md.

Layout

parseforge/
  naming.py       CLI command -> canonical cli-name (SPEC §2)
  paths.py        trials/integration/authoritative path resolution (SPEC §3)
  sampling.py     device connection + command capture (SPEC §5 step 4)
  generation.py   LLM call + template extraction (SPEC §5 steps 5-6)
  validation.py   self-validation + cross-validation scoring (SPEC §5 steps 7-8)
  promotion.py    authoritative promotion gate + drift status (SPEC §3.3, §5 steps 9-10)
  pipeline.py     orchestrates the above; Mode LOOP (MVP) vs Mode BATCH (SPEC §4)
  cli/            `parseforge` command-line entry point

store/            runtime template tree: trials/ -> integration/ -> authoritative/
                  (generated at runtime, not checked in — see .gitignore)

naming.py and paths.py are implemented and tested. sampling.py, generation.py, validation.py, promotion.py, and pipeline.py are stub interfaces — the SPEC.md section cited in each docstring is the next thing to implement.

Development

pip install -e ".[dev,sampling]"
pytest

CLI

parseforge name show interface GE1.1 status
# -> show-interface-var1-status