Praxis CI
fe29bf0422
---ci---
phase: 1
milestone: v0.1
status: verify
requirements:
covered:
- REQ-VOICE-01
- REQ-VOICE-02
- REQ-VOICE-03
- REQ-VOICE-04
- REQ-SCEN-01
- REQ-STATE-01
- REQ-LLM-01
- REQ-LLM-02
- REQ-DEBRIEF-01
- REQ-ORCH-01
- REQ-ORCH-02
- REQ-SCEN-FMT-01
- REQ-NFR-LAT-01
- REQ-NFR-SAFE-01
- REQ-NFR-COST-01
partial:
- REQ-VOICE-03 (live latency number pending keys)
- REQ-LLM-01 (live gemma4:cloud call pending keys)
- REQ-LLM-02 (live deepseek no-think call pending keys)
lessons:
- P0 fix applied: renamed misspelled _DEBRIFF_LEGAL_REDIRECT -> _DEBRIEF_LEGAL_REDIRECT in customer_service guardrail (latent safety-trap; worked at runtime via consistent misspelling + call-time global resolution)
- P0 fix applied: removed dead code line in debrief._load_template (unused 'rel' variable)
- auto-generated tests/test_pending_keys.py (9 tests) for the 2 key-pending exit criteria; skip cleanly without voice-service keys
- 73 passed, 9 skipped, 0 failed; e2e smoke passes
---/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.