Senad Uka 714aa1782b M4: voice pipeline (software-only telephony)
- AudioSocket server (asyncio TCP, Asterisk wire protocol) bridging calls
  into the same M2 agent used by chat
- Call session engine: greeting → energy-VAD utterance collection → STT →
  agent turn → TTS playback with barge-in (120ms of caller speech stops
  playback); inactivity + max-duration guards; unintelligible audio reaches
  the agent as '[nerazumljivo]' so the two-attempt rule stays in the prompt
- STTProvider (faster-whisper, lang hint 'sr', GPU/CPU via env) and
  TTSProvider (Azure Neural raw-8k PCM / ElevenLabs Flash) + test fakes
- Recording (mixed caller+agent WAV), transcripts, per-turn latency trace,
  metering via record_agent_call (§12)
- Internal dialplan API: /internal/calls/register (ring targets computed from
  working hours + ring settings §5.2), /answered (human outcome, no minutes),
  /hangup (abandoned → missed-call SMS §5.5); shared-token auth
- Asterisk config generator (pjsip.conf + extensions.conf from DB): worker
  endpoints, per-tenant test-caller endpoint, register→Dial→AudioSocket
  dialplan with h-extension reporting — validated against a real Asterisk 20
  container (modules, dialplan, endpoints all load)
- docker-compose 'voice' profile (voice server + Asterisk), Dockerfile.voice,
  docs/VOICE_TESTING.md softphone runbook
- 16 new tests incl. full fake-call e2e and a real-TCP AudioSocket wire test

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 11:05:56 +02:00
2026-07-11 09:45:06 +02:00
2026-07-11 09:45:06 +02:00
2026-07-11 09:45:06 +02:00
2026-07-11 09:45:06 +02:00

Gogo Telefon

Voice-first AI receptionist for small service businesses in Bosnia and Herzegovina. The agent answers forwarded calls (and web chat), speaks Bosnian, checks real availability and sends booking proposals to the salon owner — it never books appointments itself. See docs/ and the product spec for details.

Architecture (short version)

caller → salon number (conditional forwarding) → GSM gateway → Asterisk
       → ring group (staff softphones) → no answer → voice agent (Pipecat)
       → tools HTTP → FastAPI backend → SchedulingProvider (Google Calendar | Partner API)
       → proposal email / partner push → owner action → (optional) SMS to client

Everything self-hosted except LLM + TTS APIs (swappable interfaces).

Development

uv venv && uv pip install -e '.[dev]'
docker compose up -d db        # Postgres 16 on localhost:5433 (or use your own)
export GOGO_DATABASE_URL=postgresql+psycopg://gogo:gogo@localhost:5432/gogo
.venv/bin/alembic upgrade head
.venv/bin/uvicorn gogo.main:app --reload

Run tests (SQLite, no services needed):

.venv/bin/python -m pytest

The fake partner booking API used in tests (tests/fake_partner.py) doubles as the reference implementation of Appendix B for partner IT teams:

.venv/bin/uvicorn tests.fake_partner:app --port 9100

Layout

Path What
gogo/scheduling/ SchedulingProvider interface + google_calendar, partner_api, mock
gogo/proposals/ proposal engine, action tokens, owner emails, .ics
gogo/sms/ SmsProvider (console now, GSM gateway in M5) + Bosnian templates
gogo/api/ action links, partner webhook, health
gogo/agent/ LLM agent: prompt composition, tools, conversation loop (M2)
gogo/voice/ Pipecat voice pipeline (M4)
gogo/telephony/ Asterisk/GSM/forwarding codes (M4/M5)
tests/fake_partner.py Appendix B reference implementation

All code/comments in English; all client- and owner-facing text in Bosnian (Latin).

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