Interactive prompt lets users with split-drive setups point Ollama and
vLLM model dirs at a dedicated storage drive. Reads current .env value
as default so re-runs are idempotent. Skips prompts in non-interactive
(piped) mode. Creates the target directory immediately and updates .env
in-place via portable awk (Linux + macOS). Also simplifies next-steps
output since model paths are now configured at install time.
- llm.yaml + example: replace localhost URLs with Docker service names
(ollama:11434, vllm:8000, vision:8002); replace personal model names
(alex-cover-writer, llama3.1:8b) with llama3.2:3b
- user.yaml.example: update service hosts to Docker names (ollama, vllm,
searxng) and searxng port from 8888 (host-mapped) to 8080 (internal)
- wizard step 5: fix hardcoded localhost defaults — wizard runs inside
Docker, so service name defaults are required for connection tests to pass
- scrapers/companyScraper.py: bundle scraper so Dockerfile COPY succeeds
- setup.sh: remove host Ollama install (conflicts with Docker Ollama on
port 11434); Docker entrypoint handles model download automatically
- README + setup.sh banner: add Circuit Forge mission statement
