Files
wild-pc/AGENTS.md
Paul Payne 05b28cb584 Rename Castle -> Wild PC across the repo
Repo-side rename only (Phases 1-3 of the migration plan); the live box
(~/.castle, systemd units, /data/castle, domains) is a separate cutover.

- Slug `castle` -> `wildpc`: CLI command, module names (wildpc_core/cli/api),
  dist names, entry point `wildpc = wildpc_cli.main:main`.
- Identifiers: CastleConfig/NATSClient/DirError/MDNS -> Wildpc*.
- Env/constants: CASTLE_* -> WILDPC_*; ~/.castle -> ~/.wildpc, castle.yaml ->
  wildpc.yaml, /data/castle -> /data/wildpc.
- Systemd UNIT_PREFIX castle- -> wildpc-; own programs castle-api/gateway/etc.
- Display prose "Castle" -> "Wild PC" in docs, agent-guide files, README, frontend.
- Package dirs and bootstrap yaml renamed via git mv; lockfiles regenerated;
  redundant nested uv.lock files dropped (workspace root lock is authoritative).

Tests: core 273, cli 47, wildpc-api 120 all pass. Frontend type-checks + builds.
Fixed a stale test fixture (secret_env_path kind arg) broken pre-rename.
2026-07-18 22:55:08 -07:00

16 KiB

AGENTS.md — Wild PC

You are working in Wild PC, a personal software platform. Wild PC is a monorepo of independent programs managed by the wildpc CLI. From this directory you can manage all the software on this box from source — create programs, deploy them as services, jobs, tools, or static frontends, route them through the gateway, expose them over TLS or a public tunnel, and coordinate across nodes.

This file is the canonical, agent-agnostic guide. For exhaustive detail every section links to a doc under docs/. Read those before non-trivial changes.


1. Mental model — two layers

Wild PC splits every piece of software into what it is and how it runs here:

  • programs/<name>.yaml — the software catalog: source, stack, build, system dependencies. "What software exists."
  • deployments/<name>.yaml — how a program is realized on this node. Discriminated on manager: systemd | caddy | path | none.

The human-facing kind is derived from the manager (+ schedule), never stored:

manager + schedule? derived kind what it is
systemd no service a long-running daemon
systemd yes job a scheduled task (.timer)
path tool a CLI installed on your PATH
caddy static a built frontend served by the gateway
none reference an external service on another node

A program may have no deployment (just source you develop), or one/more deployments. Global settings live in wildpc.yaml (gateway, repo, agents). Config root defaults to ~/.wildpc/.

Prime directive: regular programs must never depend on wildpc. They take standard config (data dir, port, URLs) via env vars; only wildpc's own programs (CLI, gateway, api) know wildpc internals. When you scaffold or adopt a program, wire it with env vars — not wildpc imports.

→ Full reference: docs/registry.md (wildpc.yaml structure, every field, manifest models, lifecycle). Architecture rationale: docs/design.md.


2. The wildpc CLI

Resource-first: operations live under the resource they act on. Names can collide across resource types, so the resource is explicit.

# Programs — the software catalog
wildpc program list [--kind service] [--stack python-cli] [--json]
wildpc program info <name> [--json]
wildpc program create <name> [--stack ...] [--description ...]   # scaffold NEW code
wildpc program add <path|git-url> [--name ...]                   # adopt EXISTING repo
wildpc program clone [name]                                      # provision repo: source
wildpc program delete <name> [--source] [-y]
wildpc program run <name> [args...]                              # declared run command
wildpc program build|test|lint|format|type-check|check [name]    # dev verbs

# Services — daemons (manager: systemd, no schedule)
wildpc service list|info <name> [--json]
wildpc service create <name> [--program P] [--port N] [--health ...] [--launcher ...]
wildpc service restart <name>             # imperative bounce
wildpc service logs <name> [-f] [-n 50]

# Jobs — scheduled tasks (manager: systemd + schedule). create takes --schedule
wildpc job create <name> [--program P] --schedule "0 2 * * *" [--launcher ...]
wildpc job <list|info|delete|restart|logs> ...

# Tools — CLIs on PATH (manager: path)
wildpc tool list [--json]          # each tool's executable + description + install state
wildpc tool info <name> [--json]

# Secrets — read/write the ACTIVE backend (file or openbao); never hand-write the store
wildpc secret list                                 # names in the active backend
wildpc secret set <NAME> [VALUE]                   # VALUE omitted → hidden prompt / stdin
wildpc secret get <NAME>                           # print a value
wildpc secret rm <NAME> [-y]                        # delete

# Platform-wide
wildpc apply [name] [--plan]                       # converge runtime to config — the workhorse
wildpc list [--kind ...] [--stack ...] [--json]    # all deployments
wildpc status                                      # unified health/status
wildpc doctor                                      # diagnose setup + runtime, with fix hints
wildpc restart [name]                              # imperative bounce (one or all)
wildpc gateway                                     # gateway status + route table (inspection)

wildpc service/job/tool are views over the one deployment set, filtered by derived kind. Lifecycle is convergence: edit config, then wildpc apply renders units + the Caddyfile and reconciles the runtime (activate what's enabled, restart what changed, deactivate what's disabled). To durably turn a deployment off, set enabled: false and apply — there is no separate start/stop/enable. wildpc restart is the one imperative bounce.

Dev verbs resolve per-program: a declared commands: entry (or build:) overrides the program's stack default, else the stack handler, else the verb is unavailable — so a wired-in repo with no stack works if it declares its commands. All projects use uv (Python) / pnpm (frontends).


3. Recipes

Create a new service (HTTP daemon)

wildpc program create my-service --stack python-fastapi --description "Does X"
cd /data/repos/my-service && uv sync         # implement it
wildpc program test my-service
wildpc service create my-service --program my-service --port 9001
wildpc apply my-service        # renders the unit + gateway route and starts it

The service reads its port/data dir from env vars that deployments/my-service.yaml maps via placeholders (see §6). Stack guide: docs/stacks/python-fastapi.md.

Create a CLI tool

wildpc program create my-tool --stack python-cli --description "Does Y"
cd /data/repos/my-tool && uv sync
wildpc apply my-tool                 # installs the path deployment on PATH

wildpc tool list --json is the machine-readable tool catalog (each tool's real executable, which may differ from the program name). Stack: docs/stacks/python-cli.md.

Create a scheduled job

A job is a manager: systemd deployment with a schedule (cron). Generates a .service (Type=oneshot) + a .timer.

wildpc job create nightly --program my-tool --schedule "0 2 * * *" --launcher command
wildpc apply nightly

Create a static frontend

# scaffold a Vite/React app under /data/repos/my-frontend (see docs/stacks/react-vite.md)
wildpc program build my-frontend                      # produces dist/
# deployments/my-frontend.yaml → manager: caddy, root: dist
wildpc apply                # served at my-frontend.<domain>

The gateway serves the build in place from <source>/<root> — no copy, no Node process. Stack: docs/stacks/react-vite.md. Content-driven static sites built by Hugo: docs/stacks/hugo.md. Database-backed apps on the shared Supabase substrate: docs/stacks/supabase.md.

Adopt an existing repo (no stack needed)

wildpc program add ~/projects/some-rust-tool        # local path
wildpc program add https://github.com/me/widget.git --name widget

Wild PC detects dev-verb commands (pyproject→uv/ruff/pytest, Cargo.toml→cargo, …) or you declare them under commands: in programs/<name>.yaml.


4. The gateway — routing & exposure

The Caddy gateway (port 9000) is the single ingress. It's both a reverse proxy (to local services) and a static file server (for built frontends). It maps a public address (always a subdomain, <name>.<domain>) to a target:

target kind is declared by
proxy a local service on a port a service's proxy: true
static a built frontend's dist/ a manager: caddy deployment's root:
remote a service on another node mesh discovery

Exposure is a checkbox on a service:

proxy: true    # expose at <service-name>.<gateway.domain>
public: true   # ALSO expose to the internet via Cloudflare tunnel (requires proxy)
  • proxy: false/omitted → reachable only at its own host:port.
  • The subdomain is always the service name (rename the service to change it).
  • There are no path-prefix routes — a whole subdomain maps to the backend root, so root-relative assets and window.location WebSocket URLs just work.

Inspect routes: wildpc gateway / GET /gateway. Regenerate routes + reload the gateway: wildpc apply (converge). → Field-level detail: docs/registry.md.


5. DNS & TLS — making names resolve and be trusted

Two orthogonal questions for https://foo.<domain>/ to work from a LAN browser: resolve (DNS) and trust (TLS). Wild PC doesn't run DNS — you add one wildcard record on the LAN's DNS server (usually the router): address=/<domain>/<node-ip> (dnsmasq) pinned with a DHCP reservation.

gateway.tls in wildpc.yaml picks the trust mode:

gateway.tls serves client setup when
off (default) plain HTTP on :9000 none no HTTPS needed / no domain
acme real Let's Encrypt wildcard *.<domain> via DNS-01 nothing you own a domain; any device

acme gets a publicly-trusted cert with no CA to install, while services stay internal-only (DNS-01 writes a TXT to the public zone; only LAN DNS resolves the names — the public zone has no A records). HTTPS also unlocks secure context (crypto.subtle, service workers), which plain-HTTP LAN hosts lack.

acme operational prerequisites (wildpc can't do these for you):

  • DNS-plugin Caddy at /usr/local/bin/caddy./install.sh --with-dns-plugin=cloudflare.
  • Provider token stored as a secret and mapped into the gateway service env (CLOUDFLARE_API_TOKEN); wildpc apply warns if missing.
  • Bind :443/:80 — lower the floor once: net.ipv4.ip_unprivileged_port_start=80 in /etc/sysctl.d/ (beats setcap, which NoNewPrivileges would void).
  • Stage first: WILDPC_ACME_STAGING=1 at deploy, verify issuance, then unset and redeploy for a production cert.

→ Full conceptual + step-by-step guide: docs/dns-and-tls.md. Read the actual values for this node in ~/.wildpc/wildpc.yaml (gateway.domain, tls, etc.).


6. Environment, secrets, data, placeholders

defaults.env in a deployment is the single explicit source of the env a service/job runs with — wildpc injects nothing implicitly. Map the vars your program reads to wildpc's computed values with placeholders:

expose: { http: { internal: { port: 9001 }, health_path: /health } }
defaults:
  env:
    MY_SERVICE_PORT: ${port}          # = expose.http.internal.port
    MY_SERVICE_DATA_DIR: ${data_dir}  # = $WILDPC_DATA_DIR/<name>
    PUBLIC_URL: ${public_url}          # gateway origin (CORS/allowlists)
    API_KEY: ${secret:MY_API_KEY}      # reads ~/.wildpc/secrets/MY_API_KEY
placeholder expands to
${port} the service's expose.http.internal.port
${data_dir} $WILDPC_DATA_DIR/<name> (default /data/wildpc/<name>)
${name} the deployment name
${public_url} https://<name>.<domain> under acme, else http://localhost:<port>
${secret:NAME} the secret NAME from the active backend

Secret backend. ${secret:NAME} (and read_secret() for direct-read code) resolve through a backend selected by the secrets: block in wildpc.yaml (core/secret_backends.py):

secrets:
  backend: openbao                                   # or `file` (default)
  addr: https://wildpc-openbao.<domain>:8200
  mount: wildpc                                       # KV-v2 mount
  token_secret: OPENBAO_ROOT_TOKEN                    # vault token, read from a file
  node_prefix: nodes/<host>                           # optional: per-node overrides
  • file (default) → ~/.wildpc/secrets/NAME.
  • openbao → vault KV-v2 mount/NAME, no file fallback. The vault token is still a file (token_secret, the bootstrap root of trust — it can't live in the vault it opens). With node_prefix, a read tries mount/<node_prefix>/NAME then shared mount/NAME, so one vault serves shared secrets + per-node overrides (e.g. each node's postgres password). Env vars (WILDPC_SECRET_BACKEND, WILDPC_OPENBAO_*) override the block (tests/CI force file).
  • This fleet runs openbao: civil is the authority (root token), primer reads via a least-privilege wildpc-read token. Only the bootstrap tier stays as files (OPENBAO_ROOT_TOKEN/OPENBAO_UNSEAL_KEY, the cloudflared creds dir).

Write secrets with wildpc secret set NAME, never by hand. It targets the active backend, so a value can't land in a store the resolver never reads — the failure mode where a file-written secret is silently ignored on an openbao fleet and ${secret:NAME} degrades to a literal <MISSING_SECRET:NAME> that a service then uses as its credential. wildpc apply refuses to converge (exits non-zero, writes nothing) any deployment whose ${secret:…} refs don't resolve in the active backend, naming the fix.

Never put secret values in wildpc.yaml or project dirs — use ${secret:…}. Roots: WILDPC_HOME (config/code/artifacts/secrets, default ~/.wildpc, env-only — it contains wildpc.yaml) and program data (base of ${data_dir}, default /data/wildpc) + repos (default /data/repos). The latter two resolve env > wildpc.yaml > default — set data_dir: / repos_dir: in wildpc.yaml (the single source of truth both the CLI and the api read), not a per-shell env var that only one of them sees. → docs/registry.md (wildpc.yaml globals).


7. Public exposure — Cloudflare tunnel

public: true (requires proxy: true) projects a service to the internet at <name>.<gateway.public_domain> (a separate zone, so internal subdomain names stay out of public DNS). wildpc apply generates the cloudflared ingress from the set of public services. Needs gateway.public_domain + gateway.tunnel_id set and the wildpc-tunnel service running. → One-time setup: docs/tunnel-setup.md.

Routing only moves bytes — it does not supply a backend's own auth. Do not make a service public unless it authenticates or is meant to be open.


8. Mesh — multi-node coordination (opt-in)

Runs on NATS JetStream (wildpc-nats, TLS + token). Enable via env on wildpc-api: WILDPC_API_NATS_ENABLED=true, WILDPC_API_NATS_URL=tls://wildpc-nats.<domain>:4222, WILDPC_API_NATS_TOKEN=${secret:NATS_TOKEN}. Each node publishes its (secret-stripped) registry to a JetStream KV bucket, renews a presence key, and watches for peers; remote deployments surface as manager: none reference kinds. A static role (authority|follower, in wildpc.yaml) gates who may write the shared-config bucket. A consumed cross-node service (requires: - ref: X satisfied by a peer) is routed by the gateway with a presence-gated circuit-breaker.

Inspect + drive from the CLI: wildpc mesh status / wildpc mesh nodes / wildpc mesh config list|get|set (or GET /mesh/status, /nodes, /mesh/config). Modules: wildpc_api.nats_client, .mesh, .mesh_gateway, .mdns; secrets via core secret_backends (file default, OpenBao opt-in). → Full history + operations: docs/fleet-mesh-plan.md.


9. Where to read more

Topic Doc
Registry model, wildpc.yaml, every field, lifecycle docs/registry.md
Why wildpc is shaped this way docs/design.md
DNS resolution + the two TLS modes, acme recipe docs/dns-and-tls.md
Public exposure (cloudflared) one-time setup docs/tunnel-setup.md
Writing FastAPI services docs/stacks/python-fastapi.md
Writing CLI tools docs/stacks/python-cli.md
Writing React/Vite frontends docs/stacks/react-vite.md
Writing Hugo static sites docs/stacks/hugo.md
Database-backed apps (shared Supabase) docs/stacks/supabase.md
Developing Wild PC itself (CLI/core/api/app, key files, endpoints) docs/developing-wildpc.md

Wild PC's own programs live in this repo (source: repo:<name> → cli, core, wildpc-api, app). Your programs live under /data/repos/<name>/ with an absolute source:. When in doubt about this node's actual config, read ~/.wildpc/wildpc.yaml and wildpc status.