Files
drinktracker/docker-compose.yml
JP a0e1619072 Route all AI features through the Switchboard gateway
Replace the direct Anthropic and OpenAI integrations with a single
provider that talks to Switchboard, an OpenAI-compatible gateway that
routes each request to the best available model. The app no longer pins
a model id anywhere: it sends switchboard/auto and lets the gateway
choose, then logs which model answered and what it cost.

Routing levers are set per feature in src/lib/ai/routing.ts. Three of
those choices came from measuring against the live gateway:

- category and prefer_free are set explicitly on every request. An API
  key carries its own routing defaults, and anything left unset inherits
  them - drink prompts were being sent to a free coding model.
- Token budgets are generous because the router may pick a reasoning
  model, and reasoning tokens come out of the same max_tokens budget as
  the answer. At 512 tokens a request returned null content; at 4096 the
  same request returned correct JSON.
- No tier lever on text features. tier "cheap" pinned a slow reasoning
  model (42-180s, two timeouts and one truncated response in five
  trials) and tier "frontier" escalated as far as Opus at $0.02 a call,
  while unconstrained routing answered in about a second. Vision keeps
  "frontier", where the accuracy is worth a few tenths of a cent.

Gateway failures are mapped to actionable messages rather than passed
through: a 401 relayed as 401 would read as an expired session and
bounce the user to login, and a 429 would collide with the app's own
rate limiter.

Also collapses the key lookup that was duplicated across ten call sites
into getUserProvider(), which fixes a latent bug where a bare findFirst
with no ordering let different features pick different providers.

Existing claude/openai key rows are ignored at runtime and offered for
removal in Settings, so no migration is needed before deploying.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-08 16:41:00 +00:00

80 lines
2.2 KiB
YAML

services:
db:
image: postgres:16-alpine
restart: unless-stopped
ports:
- "5432:5432"
environment:
POSTGRES_USER: ${POSTGRES_USER:-drinktracker}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?Set POSTGRES_PASSWORD in .env}
POSTGRES_DB: ${POSTGRES_DB:-drinktracker}
volumes:
- pgdata:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U drinktracker -d drinktracker"]
interval: 5s
timeout: 5s
retries: 5
minio:
image: minio/minio:latest
restart: unless-stopped
ports:
- "9000:9000"
- "9001:9001"
environment:
MINIO_ROOT_USER: ${MINIO_ACCESS_KEY:?Set MINIO_ACCESS_KEY in .env}
MINIO_ROOT_PASSWORD: ${MINIO_SECRET_KEY:?Set MINIO_SECRET_KEY in .env}
volumes:
- miniodata:/data
command: server /data --console-address ":9001"
healthcheck:
test: ["CMD", "mc", "ready", "local"]
interval: 5s
timeout: 5s
retries: 5
minio-init:
image: minio/mc:latest
depends_on:
minio:
condition: service_healthy
environment:
MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY:?Set MINIO_ACCESS_KEY in .env}
MINIO_SECRET_KEY: ${MINIO_SECRET_KEY:?Set MINIO_SECRET_KEY in .env}
entrypoint: >
/bin/sh -c "
mc alias set local http://minio:9000 $$MINIO_ACCESS_KEY $$MINIO_SECRET_KEY;
mc mb local/drink-images --ignore-existing;
mc anonymous set download local/drink-images;
exit 0;
"
app:
image: node:20-alpine
restart: unless-stopped
working_dir: /app
ports:
- "3000:3000"
volumes:
- .:/app
- app_node_modules:/app/node_modules
env_file:
- .env
environment:
DATABASE_URL: "postgresql://${POSTGRES_USER:-drinktracker}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB:-drinktracker}"
MINIO_ENDPOINT: "minio"
SWITCHBOARD_BASE_URL: "${SWITCHBOARD_BASE_URL:-http://192.168.2.11:8787/v1}"
WATCHPACK_POLLING: "true"
depends_on:
db:
condition: service_healthy
minio:
condition: service_healthy
command: sh -c "npm install && npx prisma generate && npx prisma db push && npm run dev"
volumes:
pgdata:
miniodata:
app_node_modules: