2026-06-23 07:12:45 +00:00
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[package]
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refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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name = "myelin"
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2026-06-23 07:12:45 +00:00
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version = "0.1.0"
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edition = "2024"
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feat: proper `README`, `LICENSE`, and our first quick example
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>
2026-08-05 20:29:27 +00:00
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license = "AGPL-3.0-only"
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2026-06-23 07:12:45 +00:00
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publish = false
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2026-07-07 10:40:02 +00:00
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autobins = false
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2026-06-23 07:12:45 +00:00
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2026-06-24 09:30:29 +00:00
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[features]
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default = []
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2026-07-22 07:50:53 +00:00
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dashboard = []
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feat(mvp): implement mvp-system modules and in-crate tests
Implement arena_manager, device_bridge, driver_pumps, edge_establisher, gpu_worker
ctl/egress/ingress/process-adapter, orchestrator run-fsm and token-endpoint, run_plan,
stage_controller, tx_rx_edge_actor, weight_lifecycle, and the remaining modules. Move
guarantee tests from tests/mvp_system into crates/mvp-system/src/tests; add the
tinygrad device-bridge backend helper.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-06-23 13:51:34 +00:00
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[dependencies]
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refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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datastream = { path = "../../crates/datastream" }
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data-plane = { path = "../../crates/data-plane" }
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provisioning = { path = "../../crates/provisioning" }
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dashboard = { path = "../../crates/dashboard" }
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feat(mvp): implement mvp-system modules and in-crate tests
Implement arena_manager, device_bridge, driver_pumps, edge_establisher, gpu_worker
ctl/egress/ingress/process-adapter, orchestrator run-fsm and token-endpoint, run_plan,
stage_controller, tx_rx_edge_actor, weight_lifecycle, and the remaining modules. Move
guarantee tests from tests/mvp_system into crates/mvp-system/src/tests; add the
tinygrad device-bridge backend helper.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-06-23 13:51:34 +00:00
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serde_json = "1"
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2026-06-24 09:30:29 +00:00
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serde = { version = "1", features = ["derive"] }
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2026-06-25 12:30:18 +00:00
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swactor = { path = "../..", features = ["serde", "transport"] }
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feat(engine): substrate-neutral execution engine abstraction
Introduce the swactor engine: a swactor-owned composite that retains a
selected execution substrate, drives the core runtime, and hosts the
async/blocking/timer work that backs actors. Integrations receive one
cloneable EngineHandle and never construct or borrow a raw Tokio
runtime/handle.
Engine crate (crates/engine):
- The contract: spawn / spawn_blocking / timer / interval / now, a
per-implementation capability model with construction-time binding
(require()), and engine-owned time. The engine owns all progression;
actor handlers stay synchronous and never .await.
- TokioBackend owns the Tokio runtime and schedules core ticks and
supporting futures on it; SteppingBackend is a single-threaded
deterministic scheduler with virtual time (the non-Tokio portability
proof). Core is driven through its existing tick() surface; a
self-rescheduling CoreDriver is installed at construction and is the
sole place permitted to call try_tick.
iroh-driver:
- Receives an EngineHandle instead of a raw Tokio Handle. Accepts,
reads, dials, writes, endpoint construction, and teardown schedule
through it; required capabilities (tasks/timers/io) are validated
before the endpoint binds. Engine-hosted interval pumps drive
actor-bridge, datastream, and edge ingress.
myelin:
- One node/orchestrator engine owns core, protocol tick injection, and
transport progression; the application loop only drains
integration-owned queues. Stage-shard process readers, delayed actor
messages, helper stdout/stderr, prompt RPC, and CPU sampling all
schedule through the engine (spawn_blocking / engine tasks / timers).
- Removed the split-engine APIs: install_actor_bridge_pump(period) and
spawn_protocol_ticker(period) use each component's stored engine;
deleted the no-op pump_network callback and its plumbing; deleted the
dashboard raw-Tokio/standalone-runtime conveniences.
Enforcement:
- A clippy disallowed-methods boundary forbids direct runtime/scheduling/
time/core-driving bypasses, denied in swactor-engine, iroh-driver, and
myelin. Retained excluded uses (VastAI provider, provider process
supervision/log capture, OS-signal/stdin/process-control sequencing)
carry narrow allowances with reasons.
Verification:
- Engine contract + unit tests (incl. the SteppingBackend portability
proof), iroh integration tests (capability rejection before binding,
multi-node actor behavior), and a production execution-composition
smoke test that observes engine-driven actor progress with no ambient
Tokio runtime and no manual tick/pump. Workspace all-target/all-feature
clippy and tests are green.
Specs co-located with their crates: ENGINE_SPEC.md in crates/engine,
IROH_DRIVER_SPEC.md in crates/iroh-driver. VastAI remains explicitly out
of scope pending its separate redesign.
2026-08-10 20:23:03 +00:00
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swactor-engine = { path = "../../crates/engine" }
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refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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swactor-transport = { path = "../../crates/transport" }
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swactor-process = { path = "../../crates/process" }
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distribution = { path = "../../crates/distribution" }
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iroh-driver = { path = "../../crates/iroh-driver" }
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2026-06-25 12:30:18 +00:00
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iroh = "0.98"
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2026-08-03 10:18:24 +00:00
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tokio.workspace = true
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feat(mvp-chat): local e2e chat on cuda gpu
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>
2026-07-01 08:44:25 +00:00
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swactor-vastai = { path = "../../tools/vastai" }
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parking_lot = "0.12"
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2026-07-05 09:59:51 +00:00
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blake3 = "1"
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2026-07-07 10:40:02 +00:00
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toml = "0.8"
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feat: per-stage GGUF weight sharding and deploy hardening
Distribute only each stage's GGUF layer slice over HTTP, add sampler and weight-load health telemetry, and harden node-image build, orchestrator provisioning, and the VastAI lease/search path.
- gguf_shard (new): StageShardPlan and plan_stage_shard parse the GGUF directory and compute coalesced per-stage tensor byte ranges; materialize_stage_shard_http fetches only those ranges (plus the header) to build a stage-local GGUF, with planned_fetch_bytes accounting.
- orchestrator_app: build a BTreeMap<u32, StageShardPlan> from the run plan for HuggingFace sources, thread stage_shard_plan through StageProvisionWire and weight-load, emit stage_shard_plan summaries, and add liveness phases (prefetching/fetching_stage_shard, cache_ready, stage_shard_ready).
- worker_node: add a stage-shard-fetcher subcommand and materialize_stage_shard_with_process that spawns the fetcher, streams its stdout/stderr as stage_shard_fetch events (StageShardCacheReady/StageShardReady), caches under MVP_MODEL_CACHE_DIR, and feeds the local shard path into load_weights.
- worker_node: add NODE_SAMPLER_CHANNEL and SamplerHealth telemetry (gpu/cpu/net samplers emit started/waiting/ready/failed) plus structured helper stdout/stderr streaming (wait_for_helper_event/drain_worker_stderr).
- node_image: expand node-image build/push handling for the deploy path.
- tools/vastai: extend lease, search, and types and drop unused pricing code.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-26 09:01:18 +00:00
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ureq = "2"
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2026-06-24 09:30:29 +00:00
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2026-06-23 07:12:45 +00:00
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[target.'cfg(target_os = "linux")'.dependencies]
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libc = "0.2"
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2026-07-15 08:49:56 +00:00
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signal-hook = "0.3"
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feat(mvp): implement mvp-system modules and in-crate tests
Implement arena_manager, device_bridge, driver_pumps, edge_establisher, gpu_worker
ctl/egress/ingress/process-adapter, orchestrator run-fsm and token-endpoint, run_plan,
stage_controller, tx_rx_edge_actor, weight_lifecycle, and the remaining modules. Move
guarantee tests from tests/mvp_system into crates/mvp-system/src/tests; add the
tinygrad device-bridge backend helper.
Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-06-23 13:51:34 +00:00
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feat(mvp-chat): local e2e chat on cuda gpu
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>
2026-07-01 08:44:25 +00:00
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[[bin]]
|
refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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name = "myelin-worker"
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2026-07-07 10:40:02 +00:00
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path = "src/bin/worker_node.rs"
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feat(mvp-chat): local e2e chat on cuda gpu
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>
2026-07-01 08:44:25 +00:00
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[[bin]]
|
refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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name = "myelin-orchestrator"
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2026-07-07 10:40:02 +00:00
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path = "src/bin/orchestrator.rs"
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feat(mvp-chat): local e2e chat on cuda gpu
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>
2026-07-01 08:44:25 +00:00
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[[bin]]
|
refactor: `mvp-system` is now a standalone app, `myelin`
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>
2026-08-01 09:46:55 +00:00
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name = "myelin-chat"
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path = "src/bin/chat.rs"
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2026-06-24 09:30:29 +00:00
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