131545b70a8c32172b40caf9017c002280c14948
- 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---
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:cloudno-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
- Copy
.env.example→.env, fill inDEEPGRAM_API_KEY,CARTESIA_API_KEY,OLLAMA_API_KEY. - Install server deps:
pip install -e ".[dev]" - Install client deps:
cd client && npm install - Run probes:
python scripts/probe_deepgram.py(etc.) - Run server:
python -m server - Run client:
cd client && npm run dev
See docs/latency-report.md for the R1-R4 spike status and TTS decision.
Description
Releases
15
Languages
Python
81.4%
Shell
13.8%
TypeScript
4.3%
CSS
0.3%
Dockerfile
0.2%