Praxis CI 131545b70a feat(P01): SLICE-02 devops config + G-008 backup-restore drill
- TASK-02-01 .env.example: v0.4 operator vars (PRAXIS_PG_PASSWORD,
  PRAXIS_PG_DSN, PRAXIS_COOKIE_SECRET, PRAXIS_COOKIE_SECURE,
  PRAXIS_BOOTSTRAP_OPERATOR_USER/PASS, PRAXIS_VC_ISSUER_KEY,
  PRAXIS_ISSUER_URL) with documentation comments. PRAXIS_COOKIE_SECURE
  documents the G-031 reframe: k-anon defense-in-depth is the PRIMARY
  R-AUTH-01 mitigation (sniffed cookie leaks no PII); the secure flag is
  the SECONDARY mitigation. PROXMOX_MEMORY_MB default bumped 4096→6144.
- TASK-02-02 lxc-clone.sh: memory default 4096→6144 (REQ-NFR-MT-01 —
  Postgres ~400MB + praxis ~500MB + Docker ~200MB + build headroom ~1GB).
- TASK-02-03 scripts/backup-pg.sh: POSIX-sh nightly cron script,
  pg_dump -Fc to /backups/praxis-<dow>.dump (rolling 7-file, D-055),
  with restore-drill documentation in comments.
- G-008 tests/test_backup_restore.py: backup-restore drill — seeds all 5
  operator-tier tables, pg_dump, drop schema, pg_restore --clean --if-exists,
  verify 5 tables + row counts match. Skips if PRAXIS_PG_DSN unset.

---ci---
project: praxis
phase: 1
milestone: v0.4
status: execute
persona: devops-engineer
task: 02-01,02-02,02-03,G-008
requirements:
  covered: [REQ-NFR-MT-01]
  grill:
    - G-008 (backup-restore drill)
---/ci---
2026-08-04 00:48:14 +00:00

Praxis — v0.1 Foundation

Voice-first AI apprenticeship platform. v0.1 is a tech-validation harness (per G-008) for the minimal viable voice loop: a single learner speaks to an AI tutor playing a Customer Service role-play scenario, hears a <600ms-latency response, receives an end-of-session coaching debrief, and has the session logged to SQLite.

Status

Phase 1 (minimal viable voice loop) — code-complete, pending live API keys for runtime verification.

Stack

  • Orchestration: Pipecat (D-017) with Silero VAD + interruptibility
  • ASR: Deepgram Nova-3 streaming (D-013)
  • LLM: Ollama Cloud direct API (D-020) — gemma4:cloud (role-play) + deepseek-v4-flash:cloud no-think (debrief)
  • TTS: Cartesia Sonic (primary, D-014) / Piper (self-hosted, R4 mitigation) — behind an interface
  • Client: React + Vite + WebRTC (Pipecat client SDK, D-015)
  • State: SQLite praxis.db (D-007, single hardcoded learner, no auth)

Layout

server/      Pipecat pipeline, services (TTS/LLM/Guardrail interfaces), scenario runtime, adapters
client/      React + Vite + WebRTC learner surface
scenarios/   YAML scenario definitions (D-018)
db/          SQLite schema, migrations, async store
scripts/     Latency probes (R1-R4), e2e smoke
tests/       Unit + e2e
docs/        Latency report, debrief templates

Quickstart

  1. Copy .env.example.env, fill in DEEPGRAM_API_KEY, CARTESIA_API_KEY, OLLAMA_API_KEY.
  2. Install server deps: pip install -e ".[dev]"
  3. Install client deps: cd client && npm install
  4. Run probes: python scripts/probe_deepgram.py (etc.)
  5. Run server: python -m server
  6. Run client: cd client && npm run dev

See docs/latency-report.md for the R1-R4 spike status and TTS decision.

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