Route cargo lint through repository timeout validation and strict Clippy, reject unregistered timing primitives with compiler-resolved call budgets, bound Nextest concurrency, and replace polling waits in test infrastructure.
Deny workspace warnings and lint suppressions, consolidate Rust and Python coverage under cargo xtask test with 60-second per-test limits, and remove stale flaky, stateful, Docker, and orphaned test artifacts.
Architecture enforcement:
- Install a repository-owned rustc wrapper for ordinary cargo check,
build, and test commands. Resolve compiler item identities so renamed
imports and helper wrappers cannot hide spawning, timing, blocking,
polling, thread, or runtime-driving capabilities.
- Define the execution-owner crates and reject dependencies from those
substrates back into Myelin policy. Add compile-pass and compile-fail
contracts for actor helpers, execution owners, test waits, forbidden
capabilities, suppression attempts, and owner dependency inversions.
Execution ownership:
- Add engine-owned actor timers with cancellation and generation identity,
then migrate lifecycle deadlines and protocol ticks off application
tasks. Keep networking, process output, telemetry, and blocking provider
calls in their approved I/O substrates.
- Move process spawn, wait, signal, Unix listener, and output-following
mechanics into swactor-process. Isolate Vast.ai blocking HTTP mechanics
behind its adapter while actors retain retry, recovery, and provisioning
decisions.
Myelin control flow:
- Rework manual control, worker lifecycle, provisioning, provider recovery,
job deployment, distribution, edge orchestration, and shutdown as actor
state transitions and typed effects. Preserve durable provider adoption
and command outcomes across graceful and abrupt restarts.
- Replace controller loops and timer-forwarding tasks with actor messages;
leave substrate tasks as cancellable observation streams with no durable
policy state.
Properties and resource ownership:
- Add deterministic engine and component properties, a stateful mock-VastAI
lifecycle model, persisted regression cases, controlled fault injection,
and a bounded nightly workflow covering restart and teardown behavior.
- Terminate reply observers, cancel telemetry collectors, bound dashboard
projections, and release child observers, file descriptors, process
records, and inode-verified Unix sockets on every terminal path.
Verified with the compiler-policy contracts, 105 Myelin library tests, 32
swactor-process tests, telemetry cancellation contracts, randomized
stateful restart cases, cargo check, and formatting checks.
Promote the `mvp-system` workspace library crate to a standalone application at `apps/myelin`, rebranding the MVP system along with its binaries, node image, and spec.
- workspace `Cargo.toml`: swap member `crates/mvp-system` -> `apps/myelin` and drop `apps` from `exclude` so the app joins the workspace
- `apps/myelin/Cargo.toml`: declare package `myelin` with `autobins = false` and explicit `[[bin]]` targets `myelin-worker`, `myelin-orchestrator`, `myelin-chat`
- `apps/myelin/src`: move the whole `mvp-system` source tree and rebrand module surfaces (`chat/mod.rs`, `prompt/mod.rs`); add `bin/chat.rs` (`myelin::run_chat_from_args`) and delete the old `mvp_chat.rs`
- `apps/myelin/node-image`: relocate the worker image assets from `apps/mvp-node/` (Dockerfile, Dockerfile.base, tinygrad_worker.py, entrypoint, e2e script) and rename `MVP_SYSTEM_SPEC.md` -> `MYELIN_SPEC.md`
- `xtask`: rewrite build/reference paths for the rename (~1000-line churn); add `crates/dashboard/ACTOR_PANEL_SPEC.md`
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Stand up an interactive end-to-end chat over a CUDA GPU, provisioning a Dockerized node that loads a GGUF model and serves prompts over TCP.
- prompt_rpc: add the newline-JSON prompt protocol (`SubmitPrompt` + `PromptEvent::{TextDelta,Done,Fault}`) carried over TCP
- mvp_chat: add an interactive REPL client connecting to the prompt RPC port (default 127.0.0.1:19777)
- mvp_orch_one_node / mvp_one_node_chat: add the single-node orchestrator that provisions a `LocalDockerPlugin` node, loads `bartowski/Llama-3.2-1B-Instruct-GGUF` (Q4_K_M), and exposes the prompt RPC listener with boot/route/weight timeouts
- mvp_node: add the GPU worker binary that spawns `tinygrad_worker.py` (default device CUDA) and ships runtime telemetry via a `ClusterFrameSink`
- vastai_provisioning / bootstrap_datastream: add the vast.ai provider adapter (`VastAiProvisioningConfig`, `VastAiLeaseClient`) wrapping `swactor_vastai`, plus a bridge that folds provision stdout onto a per-node datastream
- apps/mvp-node: add CUDA base/runtime Dockerfiles (nvidia/cuda 12.6.3, tinygrad 0.12.0, sshd), `mvp_entrypoint.sh` (sshd + mvp-node, held for postmortem), `local_docker_e2e.sh`, the GGUF tinygrad worker, and one-node-chat/bootstrap/vastai guarantee tests
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
Content addressable datastore. Allows you to configure a node to store and stream large blobs of data, and retrieve them from any swactor-connected node.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
