# Copy to .env and fill in. Never commit .env.

# The `hankan` database in your existing Postgres. `postgres` here is the
# service name on the shared docker network, not a hostname on the Pi.
DATABASE_URL=postgres://hankan:CHANGE_ME@postgres:5432/hankan

# Shared secret between the app and this server. Generate one:
#   openssl rand -base64 32
HANKAN_TOKEN=CHANGE_ME

# Which model serves the tutor: anthropic (default) | openai | echo.
# Omit the whole tutor config and sync still works — the app falls back to
# its local stand-in tutor.
HANKAN_TUTOR_BACKEND=anthropic

# For HANKAN_TUTOR_BACKEND=anthropic.
ANTHROPIC_API_KEY=

# For HANKAN_TUTOR_BACKEND=openai — anything speaking /chat/completions:
# LM Studio, Ollama, llama.cpp, vLLM, LiteLLM, OpenRouter, OpenAI.
# From a container, localhost is the container: use the host's LAN address
# or host.docker.internal, not 127.0.0.1.
#   LM Studio   http://<host>:1234/v1     model = the id shown in its UI
#   Ollama      http://<host>:11434/v1    model = e.g. qwen2.5:14b
#   llama.cpp   http://<host>:8080/v1
#   OpenRouter  https://openrouter.ai/api/v1
HANKAN_OPENAI_BASE_URL=http://host.docker.internal:1234/v1
HANKAN_OPENAI_MODEL=local-model
# Local servers ignore this; hosted ones require it. Leave blank for local.
HANKAN_OPENAI_API_KEY=
# Completion ceiling. Do not lower this much: on a reasoning model the
# reasoning comes out of the same budget and goes first, so a small value
# truncates the actual lesson away. gpt-oss-20b returns an empty string at
# 1400 and a broken half-Korean fragment at 2048.
HANKAN_OPENAI_MAX_TOKENS=8192

# The docker network your existing Postgres and Caddy are on.
#   docker network ls
HANKAN_NETWORK=caddy_default