Replaces the spawn-per-task model for LLM task types with scheduler
routing: cover_letter, company_research, and wizard_generate are now
enqueued via the TaskScheduler singleton for VRAM-aware batching.
Non-LLM tasks (discovery, email_sync, etc.) continue to spawn daemon
threads directly. Adds autouse clean_scheduler fixture to
test_task_runner.py to prevent singleton cross-test contamination.
LinkedIn's unauthenticated public profile only exposes name, summary (truncated),
current employer name, and certifications. Past roles, education, and skills are
blurred server-side behind a login wall — not a scraper limitation.
- Update selectors: data-section='summary' (was 'about'), .profile-section-card
for certs, .visible-list for current experience entry
- Strip login-wall noise injected into summary text after 'see more'
- Skip aria-hidden blurred placeholder experience items
- Add info callout in UI directing users to data export zip for full history
- app.py: wizard gate now reads get_config_dir()/user.yaml instead of
hardcoded repo-level config/ — fixes perpetual onboarding loop in
cloud mode where per-user wizard_complete was never seen
- app.py: page title corrected to "Peregrine"
- cloud_session.py: add get_config_dir() returning per-user config path
in cloud mode, repo config/ locally
- cloud_session.py: replace st.error() with JS redirect on missing/invalid
session token so users land on login page instead of error screen
- Home.py, 4_Apply.py, migrate.py: remove remaining AIHawk UI references
T13: Three fixes:
1. backup.py: _decrypt_db_to_bytes() decrypts SQLCipher DB before archiving
so the zip is portable to any local Docker install (plain SQLite).
2. backup.py: _encrypt_db_from_bytes() re-encrypts on restore in cloud mode
so the app can open the restored DB normally.
3. 2_Settings.py: _base_dir uses get_db_path().parent in cloud mode (user's
per-tenant data dir) instead of the hardcoded app root; db_key wired
through both create_backup() and restore_backup() calls.
6 new cloud backup tests + 2 unit tests for SQLCipher helpers (pysqlcipher3
mocked — not available in the local conda test env). 419/419 total passing.
cloud_session.py: no-op in local mode; in cloud mode resolves Directus JWT
from X-CF-Session header to per-user db_path in st.session_state.
get_connection() in scripts/db.py: transparent SQLCipher/sqlite3 switch —
uses encrypted driver when CLOUD_MODE=true and key provided, vanilla sqlite3
otherwise. libsqlcipher-dev added to Dockerfile for Docker builds.
6 new cloud_session tests + 1 new get_connection test — 34/34 db tests pass.
Document defensive behavior: openai_compat with no base_url returns True
(cloud) because unknown destination is assumed cloud. Add explanatory
comment to LOCAL_URL_MARKERS for the 0.0.0.0 bind-address case.
Replaces NotImplementedError stub with full LLM-backed implementation.
Builds a prompt from the last 3 resume positions plus already-selected
skills/domains/keywords, calls LLMRouter, and returns de-duped suggestions
in all three categories.
Replaces NotImplementedError stub with a real LLMRouter-backed implementation
that builds a structured prompt covering blocklist alias expansion, values
misalignment, and role-type filtering, then parses the JSON response into
suggested_titles and suggested_excludes lists.
Moves LLMRouter import to module level so tests can patch it at
scripts.suggest_helpers.LLMRouter.
Adds a fully neutered public demo for menagerie.circuitforge.tech/peregrine
that shows the Peregrine UI without exposing any personal data or real LLM inference.
scripts/llm_router.py:
- Block all inference when DEMO_MODE env var is set (1/true/yes)
- Raises RuntimeError with a user-friendly "public demo" message
app/app.py:
- IS_DEMO constant from DEMO_MODE env var
- Wizard gate bypassed in demo mode (demo/config/user.yaml pre-seeds a fake profile)
- Demo banner in sidebar: explains read-only status + links to circuitforge.tech
compose.menagerie.yml (new):
- Separate Docker Compose project (peregrine-demo) on host port 8504
- Mounts demo/config/ and demo/data/ — isolated from personal instance
- DEMO_MODE=true, no API keys, no /docs mount
- Project name: peregrine-demo (run alongside personal instance)
demo/config/user.yaml:
- Generic "Demo User" profile, wizard_complete=true, no real personal info
demo/config/llm.yaml:
- All backends disabled (belt-and-suspenders alongside DEMO_MODE block)
demo/data/.gitkeep:
- staging.db is auto-created on first run, gitignored via demo/data/*.db
.gitignore: add demo/data/*.db
Caddy routes menagerie.circuitforge.tech/peregrine* → 8504 (demo instance).
Personal Peregrine remains on 8502, unchanged.
- _MISSION_SIGNALS: add health category (pharma, clinical, patient care, etc.)
listed last so music/animals/education/social_impact take priority
- _MISSION_DEFAULTS: health note steers toward people-first framing, not
industry enthusiasm — focuses on patients navigating rare/invisible journeys
- _trim_to_letter_end(): cuts output at first sign-off + first name to prevent
fine-tuned models from looping into repetitive garbage after completing letter
- generate(): pass max_tokens=1200 to router (prevents runaway output)
- user.yaml.example: add health + social_impact to mission_preferences,
add candidate_voice field for per-user voice/personality context
- Add _mixed_mode_vram_warning() to flag low VRAM on GPU 1 in mixed mode
- Wire download size report block into main() before closing border line
- Wire mixed-mode VRAM warning into report if triggered
- Write DUAL_GPU_MODE=ollama default to .env for new 2-GPU setups (no override if already set)
- Promote import os to top-level (was local import inside get_cpu_cores)
Primary parse path is now fully deterministic — no LLM, no token limits,
no JSON generation. Handles two-column experience headers, institution-before-
or-after-degree education layouts, and header bleed prevention via
looks_like_header detection.
LLM path retained as optional career_summary enhancement only (1500 chars,
falls back silently). structure_resume() now returns tuple[dict, str].
Tests updated to match the new API.
