The SearxNG change reworded _tool_write_compose's duplicate-skip return and
dropped the "identical content" phrase that test_identical_content_skipped
asserts on, failing CI (which then fail-fast-cancelled the parallel matrix
jobs). Restore the phrase (now covering all three bundled files) and assert
the searxng/settings.yml extraction in test_writes_compose_file.
The bundled production compose mounts ./Caddyfile, so write_compose has to write
it alongside compose.yaml or `docker compose up` fails to start Caddy. Update
the wizard's system prompt for the new model (no profiles, Caddy-fronted
dashboard, current ports).
* fix: bundle production compose.yaml for pipx users (#293)
Users who install via pipx don't have a git clone, so there's no
compose.yaml or Dockerfile. Bootstrap now extracts a bundled production
compose file that uses pre-built ghcr.io images instead of local builds.
- Add turnstone/deploy/compose.yaml (ghcr.io images, no build blocks,
single-node production profile only)
- Add write_compose tool to bootstrap wizard
- Update bootstrap system prompt to check for and write compose.yaml
- Remove stale ddgCluster profile references from system prompt
- Include turnstone/deploy/*.yaml in wheel
* fix: use postgresql+psycopg:// DSN scheme in compose fallbacks
The Docker image ships psycopg3, not psycopg2, so the bare
postgresql:// scheme fails. Also clarify PG usage comment in
production compose.
Add `turnstone-bootstrap`, a new entry point that uses any LLM (OpenAI,
Anthropic, or local/vLLM) to conversationally walk users through
configuring a Turnstone deployment. Generates .env files, setup.sh
scripts, and optional docker-compose overrides.
- Fully interactive startup (zero CLI args) with provider/model selection
- Auto-detects available models on local OpenAI-compatible endpoints
- 7 tools: read_file, write_file, generate_secret, check_port,
validate_api_key, check_docker, finish
- Path traversal protection on file read/write
- Duplicate write detection (skips identical content)
- Bounded retry loop (3 attempts) on LLM errors
- Anthropic message conversion with consecutive-role merging