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3 commits

Author SHA1 Message Date
118ae2660a feat: Imitate tab — pull CF product samples, compare LLM responses
Backend (app/imitate.py):
- GET /api/imitate/products — reads imitate: config, checks online status
- GET /api/imitate/products/{id}/sample — fetches real item from product API
- GET /api/imitate/run (SSE) — streams ollama responses for selected models
- POST /api/imitate/push-corrections — queues results in SFT corrections JSONL

Frontend (ImitateView.vue):
- Step 1: product picker grid (online/offline status, icon from config)
- Step 2: raw sample preview + editable prompt textarea
- Step 3: ollama model multi-select, temperature slider, SSE run with live log
- Step 4: response cards side by side, push to Corrections button

Wiring:
- app/api.py: include imitate_router at /api/imitate
- web/src/router: /imitate route + lazy import
- AppSidebar: Imitate nav entry (mirror icon)
- config/label_tool.yaml.example: imitate: section with peregrine example
- 16 unit tests (100% passing)

Also: BenchmarkView.vue Compare panel — side-by-side run diff for bench results
2026-04-09 20:04:45 -07:00
ae0ac19505 chore: retire Streamlit app, scaffold sft branch
- Delete app/label_tool.py (Streamlit UI retired; Vue SPA is sole UI)
- Extract _strip_html and _extract_body into app/utils.py (stdlib-only, reusable)
- Update tests/test_label_tool.py import to app.utils
- Rename start-api/stop-api/restart-api/open-api → start/stop/restart/open in manage.sh
- Remove STREAMLIT variable and all Streamlit-specific case blocks from manage.sh
- Update manage.sh usage section to reflect Vue+FastAPI-only commands
- Add data/sft_candidates.jsonl and data/sft_approved.jsonl to .gitignore
- Add sft.bench_results_dir key to config/label_tool.yaml.example
2026-04-08 06:18:12 -07:00
d68754d432 feat: initial avocet repo — email classifier training tool
Scrape → Store → Process pipeline for building email classifier
benchmark data across the CircuitForge menagerie.

- app/label_tool.py — Streamlit card-stack UI, multi-account IMAP fetch,
  6-bucket labeling, undo/skip, keyboard shortcuts (1-6/S/U)
- scripts/classifier_adapters.py — ZeroShotAdapter (+ two_pass),
  GLiClassAdapter, RerankerAdapter; ABC with lazy model loading
- scripts/benchmark_classifier.py — 13-model registry, --score,
  --compare, --list-models, --export-db; uses label_tool.yaml for IMAP
- tests/ — 20 tests, all passing, zero model downloads required
- config/label_tool.yaml.example — multi-account IMAP template
- data/email_score.jsonl.example — sample labeled data for CI

Labels: interview_scheduled, offer_received, rejected,
        positive_response, survey_received, neutral
2026-02-27 14:07:38 -08:00