docs(P01): phase 1 complete — v0.0.1 tagged, release pending
---ci--- phase: 1 milestone: v0.1 status: complete escalation: resolution: auto type: release_pending reason: Gitea repo coreci/praxis does not exist (HTTP 404); tag+merge succeeded; release retries at milestone ship ---/ci---
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@@ -1,10 +1,10 @@
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{
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"phase": 0,
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"phase": 1,
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"stage": "complete",
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"milestone": "v0.1",
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"phase_role": "pre_execution",
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"phase_role": "execution",
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"attempts": 0,
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"updated_at": "2026-08-01T00:04:00Z",
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"updated_at": "2026-08-01T00:05:00Z",
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"release_status": "pending",
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"release_reason": "Gitea repo coreci/praxis does not exist (HTTP 404). Tag+merge succeeded locally. Release will retry at milestone completion once remote repo is created."
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"release_reason": "Gitea repo coreci/praxis does not exist (HTTP 404). Tag+merge succeeded locally. Release will retry at milestone ship."
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}
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+12
-9
@@ -26,19 +26,22 @@ Pipeline stages: SPECIFY → CLARIFY → RESEARCH → PLAN → GRILL
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- PERSONAS.md (persona roster + territory)
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- Phase 1 plan (vertical slices with wave ordering)
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### Phase 1 — Minimal Viable Voice Loop
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### Phase 1 — Minimal Viable Voice Loop (complete)
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**Branch:** `phase/01-minimal-voice-loop` (to be created at EXECUTE)
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**Ship target:** patch release
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**Branch:** `phase/01-minimal-voice-loop` → merged to `milestone/v0.1-praxis`
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**Ship target:** `v0.0.1` (patch release, feature milestone type)
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**Status:** ✓ complete (tagged v0.0.1; release pending — Gitea repo not yet created)
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**Goal:** A single learner can open the client, speak to an AI tutor playing a Customer Service role-play scenario, hear the tutor respond with <600ms round-trip latency, and have the session logged to learner state.
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**Vertical slices (to be refined by ci-planner):**
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1. LLM foundation wiring — Ollama `gemma4:cloud` + `deepseek-v4-flash:cloud` callable, streaming first-token <200ms
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2. ASR + TTS round-trip — streaming, interruptible, one voice persona
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3. Scenario runtime — one branching Customer Service scenario (Canada context) with failure-injection hook
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4. Learner state — session log, single learner, local persistence
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5. Client harness — minimal UI/harness exercising the full loop end-to-end
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**Implemented (5 slices, 3 waves, 26 tasks, 22 commits):**
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1. SLICE-01 — Latency spike probes (R1-R4) + report
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2. SLICE-02 — Thin vertical voice loop (walking skeleton: Pipecat + Deepgram + Cartesia/Piper + Ollama Cloud + React/WebRTC)
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3. SLICE-03 — Branching scenario (YAML→Pydantic→Pipecat Flows) + guardrails + interruptibility
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4. SLICE-04 — SQLite learner state + per-session cost logging
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5. SLICE-05 — Coaching debrief (deepseek-v4-flash no-think) + full React client UX + e2e smoke
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**Verification:** 73 tests pass, 9 skipped (pending live API keys), 0 failed. 15/15 P1 REQ-IDs covered. 2 P0 fixes applied. 6 P1+ flagged for post-hoc review.
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### Final Phase (P2) — Review + Ship
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