Add project licensing and a full README, plus a minimal WebAssembly ping-pong example that exercises the actor runtime.
- `LICENSE`: add the full GNU AGPL-3.0 text and set `license = "AGPL-3.0-only"` on every package (`swactor`, each crate, `apps/myelin`, `tools/vastai`, `xtask`)
- `README.md`: rewrite from a stub into a full project overview, covering features (actor_id routing, WASM, iroh QUIC/SWIM, OTP-style std, process manager, zero-copy objects, datastream metrics, dashboard), architecture, examples, developing, status, and license
- `examples/ping-pong`: new standalone workspace (`pingpong` cdylib) where two actors volley on a single-threaded `wasm` runtime driven by a Node host via `tick()`, demonstrating spawning, message passing, and death monitoring (`watching`)
- `examples/ping-pong`: add a host/run harness -- `run.sh` (wasm-pack build + `run.mjs`), `serve.sh` (dashboard + static demo), `index.html`, and a pinned `Cargo.lock`
- `.gitignore`: stop ignoring `.loop/`, `.deployment-notes/`, and `.omp/`
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Add read-only actor overview and per-actor dossier pages to the dashboard, fed by enriched per-actor runtime snapshots.
- `dashboard/swactor/actor_view`: new `ActorPanelView`, a tolerant frame consumer over `runtime.actors`/`runtime.stats` that folds per-actor snapshots and serves `/view/swactor/actor-overview` (roster) and `/view/swactor/actor-dossier` (per-actor detail), each backed by an embedded HTML template (`actor_overview.html`, `actor_dossier.html`)
- `dashboard`: register both views in `DashboardHandle` and export `actor_overview_view()`/`actor_dossier_view()` from the swactor module
- `swactor` core: enrich `ActorSnapshot` with `actor_type` and `message_type` (populated from `slot.actor.metadata()` in `ActorPool`) and add `ActorAddress::to_full_hex()` for untruncated display
- `myelin/orchestration`: publish actor stats to the dashboard via a `runtime.actors` channel producer (`stats_hook_on`) threaded through the distribution stack, and carry the orchestrator actor address into readiness signaling
- workspace `Cargo.toml`: add `default-members` for native iteration and a centralized `[workspace.dependencies] tokio` so members share one feature set; `dashboard/Cargo.toml` switches to `tokio.workspace = true`
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Complete an 8-stage pipeline-parallel run over VastAI by provisioning stages high-to-low, adding per-stage/per-step metrics, host anti-colocation, and provider state-timeout guardrails.
- orchestrator_app: select the next weight-load stage by max index (provision stages high-to-low for parallel spread), add a throttled "loaded N of M; waiting on stage X" stage_provision_wait headline, and surface min_compute_cap/state_timeout_secs in the config dump.
- orchestrator_app: enrich pipeline_token_in/out and tokenizer_decode events with token_count/token_ids/generated_index.
- worker_node: add timing metrics across the data path (helper_execute_ms, egress_ring_read_ms, send_ms, ingress_ring_write_ms, object_load_ms), refactor take_complete_ingress_record into IngressRecordBytes (object_id/sequence/extent/flags), and emit a new object_loaded event.
- vastai_provisioning: track leased host_ids and blacklist already-leased hosts in later ProvisionRequests so stages don't co-locate, and tag SSH-bootstrap retry logs with the attempt number.
- tools/vastai: add min_compute_cap (PP_MIN_COMPUTE_CAP) filter/search query and a LifecyclePolicy state_timeout (PP_STATE_TIMEOUT_SECS) that fails instances stuck in a non-running status instead of polling forever.
- xtask: raise the check timeout to 1800s/30s grace, drop --skip-rebuild for VastAI, aggregate per-stage StepExecuted metrics, add a vastai summary section, and write failure artifacts on abort.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Move iroh_driver and the relay binary out of distribution into a dedicated
crates/iroh-driver (lib re-exports IrohDriver; relay bin renamed). Remove the node crate
and the single-gpu-inference example; drop the docker/datastream demo. Slim
pipeline-parallel vastai.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
