Files
avc-phone-ai/.env.example
tocmo0nlord 5ed641255c Revert Phase 1 STT/auth swaps: stay on Whisper + Twilio Auth Token
Deepgram and the Twilio Standard API Key were reverted per decision:
- bot.py: restore HintedWhisperSTTService (faster-whisper hotwords), default
  model medium; remove DeepgramSTTService import + DEEPGRAM_API_KEY.
- server.py: restore TWILIO_AUTH_TOKEN for X-Twilio-Signature validation and
  the serializer auto-hang-up. Twilio signs webhooks with the Auth Token, so
  an API Key Secret cannot validate signatures.
- .env.example: back to TWILIO_AUTH_TOKEN + Whisper STT vars.
- .gitignore: ignore runtime *.log (avc_run.log).

OLLAMA_MODEL stays activeblue-avc:latest (the existing pulled tag).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-25 01:06:24 +00:00

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# Copy to .env and fill in. run.sh auto-loads it.
# ── Public ingress (Twilio dials this back) ──────────────────────────────────
# Public hostname; nginx terminates TLS here and proxies to the app. Must match the
# Twilio webhook host (Twilio signs https://PUBLIC_HOST/voice).
PUBLIC_HOST=voip.activeblue.net
PORT=8200
# App bind address. Default 127.0.0.1 (nginx proxies in locally) — not exposed on LAN.
BIND_HOST=127.0.0.1
# ── Twilio ───────────────────────────────────────────────────────────────────
# From console.twilio.com. Used to auto-hang-up the carrier leg and (recommended)
# validate inbound webhook signatures. Twilio signs webhooks with the Auth Token, so
# signature validation must use the Auth Token (not an API Key Secret).
TWILIO_ACCOUNT_SID=ACxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
TWILIO_AUTH_TOKEN=your_auth_token_here
# Inbound webhook signature validation is ON whenever TWILIO_AUTH_TOKEN is set.
# Set to false only for local testing without real Twilio requests.
TWILIO_VALIDATE=true
# Shared secret embedded in the Media Stream wss URL to gate /ws. Set a stable random
# value (e.g. `openssl rand -base64 24`); if blank, one is generated per process start.
STREAM_TOKEN=
# ── Odoo appointment integration ─────────────────────────────────────────────
# Leave ODOO_USER/ODOO_API_KEY blank to disable Odoo and log requests to JSONL only.
# Same creds the activeblue-agent container uses (docker inspect activeblue-agent).
# Verified working against db1 with ODOO_TARGET=crm.
ODOO_URL=http://localhost:8069
ODOO_DB=db1
ODOO_USER=mr.garcia09@gmail.com
ODOO_API_KEY=
ODOO_TARGET=crm # crm = callback lead (recommended) | calendar = tentative event
# ── Capacity ─────────────────────────────────────────────────────────────────
# Max simultaneous calls (each uses GPU; Ollama serializes generation). Over-cap
# callers hear BUSY_MESSAGE and are hung up. Tune to your GPU headroom (2-3 typical).
MAX_CONCURRENT_CALLS=2
# BUSY_MESSAGE=Thank you for calling Advanced Vision Care. All of our lines are busy right now. Please call back in a few minutes. Goodbye.
# ── Models (defaults are fine) ───────────────────────────────────────────────
OLLAMA_MODEL=llama3.1:8b
OLLAMA_URL=http://127.0.0.1:11434/v1
# LLM provider: ollama (local, default) | anthropic (Claude API). Flip to A/B test Claude.
LLM_PROVIDER=ollama
ANTHROPIC_API_KEY=
# Default is the most capable model; for low-latency phone voice prefer claude-haiku-4-5
# (fastest) or claude-sonnet-4-6 (balance).
ANTHROPIC_MODEL=claude-opus-4-8
# ── STT: Whisper (faster-whisper, real-time in-call) ─────────────────────────
WHISPER_MODEL=base
WHISPER_DEVICE=cuda
WHISPER_COMPUTE=float16
KOKORO_VOICE=af_heart
KOKORO_MODEL_DIR=/home/tocmo0nlord/pipecat-run/models