docsgpt/core/settings.py had grown to 258 fields in one 600-line class,
touched by about two commits a week, with related settings scattered
(GitHub ingest caps inside the embeddings block, API keys in four places,
the OpenAI Responses knobs 100 lines from the other OpenAI fields).
It is now a package: one module per domain (auth, llm, embeddings,
retrieval, vectorstores, database, workers, ingestion, ocr, storage,
connectors, server, events, agents, guardrails, scheduler, sandbox,
speech), each a SettingsGroup owning its fields and validators, composed
by multiple inheritance into the same flat Settings class. Every
attribute name, type, default, alias and constraint is unchanged, so
settings.NAME reads, .env files and test monkeypatches all keep working;
the import path docsgpt.core.settings is the package. Settings.normalize_api_key
is kept as a classmethod for callers that reuse it.
The comment above or beside each field became its Field(description=...),
so the definitions are visible to tooling; the next commit generates the
docs reference from them.
Pitfall recorded for future groups: pydantic collects validators by
method name across the MRO, so two groups naming a validator the same
would silently keep only one. Each group's validator has a unique name.
- install.sh saves the get.docker.com and uv installers to a file and runs
them only after the download finished, so a cut-off transfer runs nothing.
- Neither installer prints DOCSGPT_PACKAGE, which may be a URL with
credentials.
- The CI step assigns the wheel path before exporting it, so a missing wheel
fails instead of installing from PyPI.
- Docker-Deploying shows one code block per platform; Quickstart names the
/opt/docsgpt home used for root on Linux.
deployment/install.sh (curl | bash) and install.ps1 (irm | iex) check for
Docker, install uv when it is missing or older than 0.8 (pinned 0.12.15 via
Astral's installer), install or upgrade the docsgpt package with
`uv tool install`, and hand the terminal to `docsgpt up` with any arguments.
On Linux without Docker the shell installer offers get.docker.com. Both run
entirely inside a function, so a download cut short runs nothing.
Releases attach both scripts next to the Compose file, which is where
docs.ac/install and docs.ac/install.ps1 will point. installer-lint.yml runs
shellcheck and the PowerShell parser; docker-image-verify.yml now installs
through install.sh. README, Quickstart, Docker-Deploying and the changelog
lead with the one-liner.
arc53-machine