swactor/apps/myelin/src/orchestration/app.rs

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use std::collections::{BTreeMap, BTreeSet};
use std::fs::File;
use std::io::{BufRead, BufReader, Write};
#[cfg(target_os = "linux")]
use std::os::fd::FromRawFd;
use std::path::{Path, PathBuf};
use std::process::Command;
use std::sync::{Arc, mpsc};
use std::thread;
use std::time::{Duration, Instant, SystemTime};
refactor: prune public api Collapse mvp-system's public surface to three binary entrypoints and make every domain module private, deleting dead provider/worker/membership implementations and inlining provider config. - lib.rs: expose only run_chat_from_args/run_orchestrator_from_args/run_worker_node_from_env (plus a crate-private in-process helper) and the cached-model consts, and demote chat/node/observability/orchestration/prompt/staging/transport to private mods - orchestration/mod.rs: make app private, gate engine_builder behind cfg(test), drop docker_cluster from provider_adapters, tighten vastai to pub(super), and replace pub re-exports with pub(super) run_from_args/run_in_process_from_args - orchestration/config.rs: inline VastAiConfig/ResolvedVastAiConfig/looks_remote_image (removing provider_adapters/vastai/config.rs) and drop the DEFAULT_PIPELINE_CACHED_MODEL_* consts (hoisted to lib.rs) - orchestration/provider_adapters/vastai: delete the ProviderPlugin impl VastAiProviderPlugin and all client/bootstrap/config accessors; repoint call sites to crate-level #[path] mods for provisioning/node_provisioning/node_actor/gguf_shard/run_fsm/run_plan - delete orchestration/{membership_readiness,token_endpoint,resource_inventory}, node/{boot_lifecycle,data_plane_bridge(-74)}, and the worker crate-internal modules (control/device_bridge/process_adapter) along with their guarantees tests - chat/node: narrow node_image and worker_node_runtime to private and expose only pub(super) run_from_args / run_worker_node_from_env Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 10:02:50 +00:00
use crate::DEFAULT_PIPELINE_CACHED_MODEL_FILE;
use crate::codecs::register_myelin_actor_codecs;
use crate::node_actor::NodeAgentMsg;
use crate::observability::frame_collector::FrameCollector;
use crate::observability::orch_telemetry::{
DashboardSupport, MYELIN_SWIM_MEMBERSHIP, OrchTelemetry,
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
};
use crate::orchestration::actor::{OrchestratorActor, OrchestratorReport};
refactor: final filetree shape Reorganize crates/mvp-system from flat files into domain module trees (chat, node, node_data, observability, orchestration, prompt, staging, transport, worker) with documented mod.rs boundaries, and drop the stale inline spec docs. - lib.rs: replace ~20 flat mod declarations with one pub-mod-per-domain (chat/node/node_data/observability/orchestration/prompt/staging/transport/worker) - node/, chat/, observability/, orchestration/, staging/, prompt/, transport/, worker/: add mod.rs files with module-boundary doc comments and re-exports (e.g. chat re-exports run_from_args; orchestration re-exports RunConfig/RunId/GgufSource/TokenizerSource/ProviderKind) - orchestration: group providers under provider_adapters/{docker_cluster,relay,vastai} and fold engine_builder/, config, run_fsm, run_plan, provisioning, resource_inventory, membership_readiness, and token_endpoint under orchestration/ - transport: consolidate codec registration into transport/codec_registry::register_mvp_actor_codecs (was crate::actors::register_mvp_actor_codecs) and rename actors/codec.rs to transport/json_codec.rs - rename and relocate files into their domains (arena_manager->node_data/arena, actors/node_agent->node/actor, actors/orchestrator->orchestration/actor, stage_controller->staging/actor, telemetry/dashboard_view/etc->observability/, benchmark_observability->observability::benchmark, edge_establisher->node::edge_lifecycle, prompt_rpc->prompt::rpc) and update all crate:: imports accordingly - remove the stale crates/mvp-system/specs/*.md (MVP_SYSTEM_MODULE_BOUNDARY_SPEC, mvp_chat, orchestrator) now that module boundaries live in mod.rs docs Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-28 09:04:13 +00:00
use crate::orchestration::config::{DEFAULT_CONFIG_PATH, TomlConfigOverlay};
use crate::orchestration::daemon;
use dashboard::control::ControlCommand;
refactor: prune public api Collapse mvp-system's public surface to three binary entrypoints and make every domain module private, deleting dead provider/worker/membership implementations and inlining provider config. - lib.rs: expose only run_chat_from_args/run_orchestrator_from_args/run_worker_node_from_env (plus a crate-private in-process helper) and the cached-model consts, and demote chat/node/observability/orchestration/prompt/staging/transport to private mods - orchestration/mod.rs: make app private, gate engine_builder behind cfg(test), drop docker_cluster from provider_adapters, tighten vastai to pub(super), and replace pub re-exports with pub(super) run_from_args/run_in_process_from_args - orchestration/config.rs: inline VastAiConfig/ResolvedVastAiConfig/looks_remote_image (removing provider_adapters/vastai/config.rs) and drop the DEFAULT_PIPELINE_CACHED_MODEL_* consts (hoisted to lib.rs) - orchestration/provider_adapters/vastai: delete the ProviderPlugin impl VastAiProviderPlugin and all client/bootstrap/config accessors; repoint call sites to crate-level #[path] mods for provisioning/node_provisioning/node_actor/gguf_shard/run_fsm/run_plan - delete orchestration/{membership_readiness,token_endpoint,resource_inventory}, node/{boot_lifecycle,data_plane_bridge(-74)}, and the worker crate-internal modules (control/device_bridge/process_adapter) along with their guarantees tests - chat/node: narrow node_image and worker_node_runtime to private and expose only pub(super) run_from_args / run_worker_node_from_env Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 10:02:50 +00:00
use crate::node_provisioning::{ProviderKind, provider_kind};
use crate::orchestration::cluster_reconciler::{ProvisionedClusterGuard, ReconcilerNodeBinding};
use crate::orchestration::distribution_stack::{DistributionRuntimeStack, duration_ms_u64};
use crate::orchestration::provider_adapters::relay::{
MYELIN_IROH_RELAY_URL_ENV, RelayRuntimeConfig, SWACTOR_IROH_RELAY_URL_ENV,
relay_mode_env_value, relay_runtime_config_from_settings,
};
use crate::orchestration::provider_adapters::vastai::{
SshCommandBootstrapLauncher, ToolsVastAiLeaseClient, VastAiProvisioningConfig,
VastAiProvisioningPlugin,
};
refactor: prune public api Collapse mvp-system's public surface to three binary entrypoints and make every domain module private, deleting dead provider/worker/membership implementations and inlining provider config. - lib.rs: expose only run_chat_from_args/run_orchestrator_from_args/run_worker_node_from_env (plus a crate-private in-process helper) and the cached-model consts, and demote chat/node/observability/orchestration/prompt/staging/transport to private mods - orchestration/mod.rs: make app private, gate engine_builder behind cfg(test), drop docker_cluster from provider_adapters, tighten vastai to pub(super), and replace pub re-exports with pub(super) run_from_args/run_in_process_from_args - orchestration/config.rs: inline VastAiConfig/ResolvedVastAiConfig/looks_remote_image (removing provider_adapters/vastai/config.rs) and drop the DEFAULT_PIPELINE_CACHED_MODEL_* consts (hoisted to lib.rs) - orchestration/provider_adapters/vastai: delete the ProviderPlugin impl VastAiProviderPlugin and all client/bootstrap/config accessors; repoint call sites to crate-level #[path] mods for provisioning/node_provisioning/node_actor/gguf_shard/run_fsm/run_plan - delete orchestration/{membership_readiness,token_endpoint,resource_inventory}, node/{boot_lifecycle,data_plane_bridge(-74)}, and the worker crate-internal modules (control/device_bridge/process_adapter) along with their guarantees tests - chat/node: narrow node_image and worker_node_runtime to private and expose only pub(super) run_from_args / run_worker_node_from_env Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 10:02:50 +00:00
use crate::provisioning::{
LocalDockerPlugin, LocalProcessPlugin, NodeProvisionSpec, PluginObservation,
PluginObservationSink, PluginSink, ProvisionEvent, ProvisionEventKind, ProvisionLogLine,
ProvisionLogStream, ProvisionPlugin,
};
refactor: prune public api Collapse mvp-system's public surface to three binary entrypoints and make every domain module private, deleting dead provider/worker/membership implementations and inlining provider config. - lib.rs: expose only run_chat_from_args/run_orchestrator_from_args/run_worker_node_from_env (plus a crate-private in-process helper) and the cached-model consts, and demote chat/node/observability/orchestration/prompt/staging/transport to private mods - orchestration/mod.rs: make app private, gate engine_builder behind cfg(test), drop docker_cluster from provider_adapters, tighten vastai to pub(super), and replace pub re-exports with pub(super) run_from_args/run_in_process_from_args - orchestration/config.rs: inline VastAiConfig/ResolvedVastAiConfig/looks_remote_image (removing provider_adapters/vastai/config.rs) and drop the DEFAULT_PIPELINE_CACHED_MODEL_* consts (hoisted to lib.rs) - orchestration/provider_adapters/vastai: delete the ProviderPlugin impl VastAiProviderPlugin and all client/bootstrap/config accessors; repoint call sites to crate-level #[path] mods for provisioning/node_provisioning/node_actor/gguf_shard/run_fsm/run_plan - delete orchestration/{membership_readiness,token_endpoint,resource_inventory}, node/{boot_lifecycle,data_plane_bridge(-74)}, and the worker crate-internal modules (control/device_bridge/process_adapter) along with their guarantees tests - chat/node: narrow node_image and worker_node_runtime to private and expose only pub(super) run_from_args / run_worker_node_from_env Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 10:02:50 +00:00
use crate::run_fsm::{RunConfig, RunId};
use crate::run_plan::{self, GgufSource, TokenizerSource};
use ::provisioning::{
BootSpec, ClusterShape, DesiredNodeShape, LogicalNodeId as ReconcilerLogicalNodeId,
NodeGroupId, ProviderKind as ReconcilerProviderKind, RetryPolicy, RoleId,
RunId as ClusterRunId, RunNodeGroupSpec, SwarmJoinTemplate,
};
use distribution::node::DistributedNodeConfig;
use distribution::swim::telemetry::ObservedTransition;
use distribution::types::{MemberState, NodeId as DistNodeId};
use iroh::EndpointAddr;
use iroh_driver::{EDGE_ALPN, IrohDriver, IrohDriverConfig, TELEMETRY_ALPN};
use iroh_driver::{EndpointAddrMask, MVP_IROH_ENDPOINT_ADDR_MASK_ENV, advertised_endpoint};
use parking_lot::Mutex;
use serde_json::{Value, json};
use swactor::actor::ActorAddress;
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
use swactor_engine::{Engine, EngineHandle, TokioBackend, TokioConfig};
const DEFAULT_IMAGE: &str = "myelin-node:latest";
const MYELIN_RUNTIME_CONFIG_ENV: &str = "MYELIN_RUNTIME_CONFIG";
const CACHED_MODEL_HOST_ENV: &str = "MYELIN_CACHED_MODEL_HOST_PATH";
const MYELIN_WORKER_BIN_ENV: &str = "MYELIN_WORKER_BIN";
const CACHED_MODEL_CONTAINER_DIR: &str = "/models/cached";
const DEFAULT_PIPELINE_MODEL_CACHE_DIR: &str = ".model-cache";
const DEFAULT_HF_REPO: &str = "bartowski/Llama-3.2-1B-Instruct-GGUF";
const DEFAULT_HF_FILE: &str = "Llama-3.2-1B-Instruct-Q4_K_M.gguf";
const DEFAULT_MODEL_ID: &str = "llama-3.2-1b-instruct-q4";
const DEFAULT_STATE_DIR: &str = "./.config";
const DEFAULT_MAX_TOKENS: u32 = 64;
const PUMP_INTERVAL: Duration = Duration::from_millis(10);
const RUNTIME_READY_ACK_RETRY_INTERVAL: Duration = Duration::from_millis(250);
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
const STAGE_PROVISION_ACTIVE_RESEND_AFTER: Duration = Duration::from_secs(60);
const PIPELINE_PROMPT_WAIT_LOG_INTERVAL: Duration = Duration::from_secs(15);
const TELEMETRY_FRAME_LOG_ENV: &str = "MYELIN_TELEMETRY_FRAME_LOG";
pub(crate) fn run_with_options<I>(
args: I,
refactor: prune public api Collapse mvp-system's public surface to three binary entrypoints and make every domain module private, deleting dead provider/worker/membership implementations and inlining provider config. - lib.rs: expose only run_chat_from_args/run_orchestrator_from_args/run_worker_node_from_env (plus a crate-private in-process helper) and the cached-model consts, and demote chat/node/observability/orchestration/prompt/staging/transport to private mods - orchestration/mod.rs: make app private, gate engine_builder behind cfg(test), drop docker_cluster from provider_adapters, tighten vastai to pub(super), and replace pub re-exports with pub(super) run_from_args/run_in_process_from_args - orchestration/config.rs: inline VastAiConfig/ResolvedVastAiConfig/looks_remote_image (removing provider_adapters/vastai/config.rs) and drop the DEFAULT_PIPELINE_CACHED_MODEL_* consts (hoisted to lib.rs) - orchestration/provider_adapters/vastai: delete the ProviderPlugin impl VastAiProviderPlugin and all client/bootstrap/config accessors; repoint call sites to crate-level #[path] mods for provisioning/node_provisioning/node_actor/gguf_shard/run_fsm/run_plan - delete orchestration/{membership_readiness,token_endpoint,resource_inventory}, node/{boot_lifecycle,data_plane_bridge(-74)}, and the worker crate-internal modules (control/device_bridge/process_adapter) along with their guarantees tests - chat/node: narrow node_image and worker_node_runtime to private and expose only pub(super) run_from_args / run_worker_node_from_env Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 10:02:50 +00:00
capture_stdio: bool,
stop_rx: Option<mpsc::Receiver<()>>,
) -> Result<(), String>
where
I: IntoIterator<Item = String>,
{
let mut config_builder = ConfigBuilder::hardcoded_defaults();
if let Some(overlay) = TomlConfigOverlay::load_optional(Path::new(DEFAULT_CONFIG_PATH))? {
config_builder = config_builder.overlay_toml(overlay)?;
}
let mut config = config_builder
.overlay_env()?
.overlay_cli(args)?
.finalize()?;
config.prepare_vastai_ssh_key()?;
let state_dir = daemon::StateDir::new(config.state_dir.clone());
if config.reset_state {
state_dir.reset()?;
}
let identity = state_dir.load_or_create_identity()?;
let mut snapshot = state_dir.load_snapshot()?;
if snapshot.run_id == 0 {
snapshot = daemon::ClusterSnapshot::fresh(config.run_id, daemon_label(&config));
} else if snapshot.run_id != config.run_id {
// Node container names and provider labels derive from run_id; the
// persisted run owns them so adoption addresses the same resources.
config.run_id = snapshot.run_id;
}
if let Some(url) = DashboardSupport::configured_url(config.dashboard)? {
println!("Myelin dashboard: {url}");
std::io::stdout()
.flush()
.map_err(|error| format!("flush dashboard URL to stdout: {error}"))?;
}
let orch_stdio_rx = if capture_stdio {
OrchStdioCapture::install()?
} else {
None
};
let mut orch_telemetry =
OrchTelemetry::new(config.run_id, config.telemetry_frame_log.as_deref())?;
let run_id = config.run_id;
let node_id = config.node_id;
let bootstrap = |ds: &mut OrchTelemetry,
dash: Option<&DashboardSupport>,
phase: &str,
status: &str,
detail: Value| {
ds.emit_bootstrap(dash, run_id, node_id, phase, status, detail);
};
bootstrap(
&mut orch_telemetry,
None,
"config",
"ready",
json!({
"config_profile":match config.config_profile {
RuntimeConfigProfile::Local => "local",
RuntimeConfigProfile::Deploy => "deploy",
},
"image":&config.image,
"provider":config.provider.as_str(),
"model_id":&config.model_id,
"stage_index":config.stage_index,
"legacy_layer_end_exclusive":config.layer_end_exclusive,
"relay_mode":format!("{:?}", config.relay.mode),
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
"endpoint_addr_mask":config.endpoint_addr_mask.as_str(),
"pipeline_stages":config.pipeline_stages,
"provider_config":config.provider_telemetry_detail(),
}),
);
bootstrap(
&mut orch_telemetry,
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
None,
"telemetry_preflight",
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"configured",
json!({
"producer":"myelin-orchestrator",
"telemetry_endpoint":{
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"role":"orchestrator-frame-archive",
"transport":"telemetry-frame-log",
"configured":config.telemetry_frame_log.is_some(),
"archive_path":config.telemetry_frame_log.as_ref().map(|path| path.to_string_lossy().to_string()),
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
},
"expected_worker_producers":["myelin-worker","tinygrad-worker"],
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"provider":config.provider.as_str(),
"pipeline_stages":config.pipeline_stages,
"endpoint_addr_mask":config.endpoint_addr_mask.as_str(),
"provider_config":config.provider_telemetry_detail(),
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
}),
);
let orch_synthetic_id = format!("myelin-orchestrator-{}-telemetry-preflight", config.run_id);
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
for (phase, status) in [
("TelemetryProducerConfigured", "configured"),
("TelemetryProducerConnected", "ready"),
("TelemetrySyntheticEventSent", "sent"),
("TelemetrySyntheticEventObserved", "observed"),
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
] {
bootstrap(
&mut orch_telemetry,
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
None,
phase,
status,
json!({
"producer":"myelin-orchestrator",
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"producer_class":"rust-orchestrator",
"synthetic_id":orch_synthetic_id,
"telemetry_endpoint":{
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"role":"orchestrator-frame-archive",
"transport":"telemetry-frame-log",
"configured":config.telemetry_frame_log.is_some(),
"archive_path":config.telemetry_frame_log.as_ref().map(|path| path.to_string_lossy().to_string()),
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
},
}),
);
}
drain_orch_stdio_capture(
orch_stdio_rx.as_ref(),
&mut orch_telemetry,
None,
config.run_id,
config.node_id,
);
let actors_channel = orch_telemetry.channel_by_name("runtime.actors");
let orch_stats_hook = orch_telemetry.stats_hook_on(actors_channel);
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
// Build the core swactor runtime parts, clone the routing handle needed by
// integrations, then hand the workers to the engine. The engine owns both
// core progression and the Tokio substrate (it schedules all background
// work); components retain only cheap Runtime handles (ENGINE_SPEC.md).
let (parts, runtime, codec, transport_router) = DistributionRuntimeStack::build_runtime(
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
|registry| {
register_myelin_actor_codecs(registry);
telemetry::wire::register_telemetry_codec(registry);
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
},
Some(orch_stats_hook),
);
let engine = match TokioBackend::new(TokioConfig::default())
.and_then(|backend| Engine::new(parts, backend))
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
{
Ok(engine) => {
bootstrap(
&mut orch_telemetry,
None,
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
"engine",
"ready",
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
json!({"backend":"tokio","owns":"core+substrate"}),
);
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
engine
}
Err(error) => {
bootstrap(
&mut orch_telemetry,
None,
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
"engine",
"failed",
json!({"error":error.to_string()}),
);
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
return Err(format!("create engine: {error}"));
}
};
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
let mut driver = match IrohDriver::with_engine(
engine.handle(),
IrohDriverConfig {
secret_key: Some(identity),
relay_mode: config.relay.mode.clone(),
node: DistributedNodeConfig::default(),
peer_auth: None,
additional_alpns: vec![EDGE_ALPN.to_vec(), TELEMETRY_ALPN.to_vec()],
},
) {
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
Ok(driver) => driver,
Err(error) => {
bootstrap(
&mut orch_telemetry,
None,
"iroh_driver",
"failed",
json!({"error":error.to_string()}),
);
return Err(format!("create iroh driver: {error}"));
}
};
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
let coordinator_endpoint =
advertised_endpoint(driver.endpoint_addr(), config.endpoint_addr_mask)?;
bootstrap(
&mut orch_telemetry,
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
None,
"iroh_driver",
"ready",
json!({"endpoint":coordinator_endpoint.clone(),"has_relay":coordinator_endpoint.relay_urls().next().is_some(),"direct_addr_count":coordinator_endpoint.ip_addrs().count(),"relay_mode":format!("{:?}", config.relay.mode),"endpoint_addr_mask":config.endpoint_addr_mask.as_str()}),
);
bootstrap(
&mut orch_telemetry,
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
None,
"endpoint_config_snapshot",
"ready",
json!({
"producer":"myelin-orchestrator",
feat: working 7B inferenced over 4 pipeline stages Land end-to-end canonical benchmark observability and a synthetic datastream-connectivity preflight across the orchestrator, chat, worker-node, and Python tinygrad worker, plus an xtask validator, so a 4-stage 7B pipeline run is fully diagnosable. - benchmark_observability: expand stamp() with canonical producer fields (producer_component/instance_id/process_id/sequence, wall_clock_unix_ms, monotonic_ms, clock_source) and schema_version so every event shares one envelope shape - orchestrator_app + bin/{mvp_chat,worker_node}: stamp OrchBootstrap/OrchPromptEvent/ChatProgress/NodeEvent/SamplerHealth with the canonical fields plus span_id/parent_span_id, and add a 4-phase synthetic datastream preflight (ProducerConfigured/Connected/SyntheticEventSent/Observed) plus an endpoint_config_snapshot event on each process - apps/mvp-node/tinygrad_worker: add apply_canonical_envelope()/datastream_endpoint_snapshot() and emit_python_datastream_preflight() mirroring the Rust preflight, and enrich benchmark_stamp() with the same producer fields - bin/worker_node: pass MVP_DATASTREAM_ENDPOINT_ID/MVP_BENCHMARK_PRODUCER_INSTANCE/MVP_IROH_ENDPOINT_ADDR_MASK/MVP_IROH_RELAY_MODE env to the spawned tinygrad worker so its stamps identify the stage - bin/mvp_chat: add --pipeline-parallel as an alias for --pipeline-stages (with a duplicate-guard) and bump recursion_limit - xtask: add a benchmark-observability validator (ValidatorFinding/BenchmarkValidation, validate_benchmark_observability, canonical-stamp and stage/edge checks, evidence + gap-report builders) with tests for missing python datastream connectivity, wrong run_id, and missing span_id Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-27 06:47:17 +00:00
"coordinator_endpoint":coordinator_endpoint.clone(),
"has_relay":coordinator_endpoint.relay_urls().next().is_some(),
"direct_addr_count":coordinator_endpoint.ip_addrs().count(),
"relay_mode":format!("{:?}", config.relay.mode),
"endpoint_addr_mask":config.endpoint_addr_mask.as_str(),
"connectivity_preflight":"ready",
}),
);
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
let stack = DistributionRuntimeStack::new_from_runtime(
runtime,
codec,
transport_router,
driver.node_id(),
DistributedNodeConfig::default(),
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
engine.handle(),
);
bootstrap(
&mut orch_telemetry,
None,
"distribution_stack",
"ready",
json!({"actors":"initialized","route_view":"initialized","swim":"initialized"}),
);
bootstrap(
&mut orch_telemetry,
None,
"codecs",
"ready",
json!({"registered":["node_agent","orchestrator","provisioner","prompt_rpc","telemetry"]}),
);
driver.enable_actor_bridge(
stack.runtime.clone(),
stack.codec.clone(),
stack.actor_bridge_routes(),
stack.actors.swim,
stack.relay_mirror.clone(),
stack.route_view.clone(),
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
stack.outbox.clone(),
);
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
// Engine owns protocol tick injection and core progression; the application
// loop only drains integration-owned queues (ENGINE_SPEC.md).
stack.spawn_protocol_ticker(PUMP_INTERVAL);
driver.install_actor_bridge_pump(PUMP_INTERVAL);
bootstrap(
&mut orch_telemetry,
None,
"actor_bridge",
"ready",
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
json!({"transport":"iroh","routes":"attached","protocol_ticker":"engine-hosted"}),
);
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
let collector = FrameCollector::new();
bootstrap(
&mut orch_telemetry,
None,
"telemetry_collector",
"ready",
json!({"alpn":String::from_utf8_lossy(TELEMETRY_ALPN)}),
);
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
let dashboard = DashboardSupport::start(config.dashboard, &engine.handle())?;
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"dashboard",
"ready",
json!({"enabled":dashboard.is_some()}),
);
let orchestrator_reports = match stack.runtime.new_inbox::<OrchestratorReport>() {
Ok(inbox) => inbox,
Err(error) => {
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"orchestrator_report_actor",
"failed",
json!({"error":error.to_string()}),
);
return Err(format!("orchestrator report inbox: {error}"));
}
};
let orchestrator_report_actor = *orchestrator_reports.addr();
stack.register_local_actor(driver.register_actor(orchestrator_report_actor, 1));
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"orchestrator_report_actor",
"ready",
json!({"actor":orchestrator_report_actor}),
);
let orchestrator_actor = match stack.runtime.spawn(OrchestratorActor::new(
RunConfig {
run_id: RunId(config.run_id),
max_tokens: u64::from(config.default_max_tokens),
prompt: Vec::new(),
},
Some(orchestrator_report_actor),
)) {
Ok(actor) => actor,
Err(error) => {
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"orchestrator_actor",
"failed",
json!({"error":error.to_string()}),
);
return Err(format!("spawn orchestrator actor: {error}"));
}
};
stack.register_local_actor(driver.register_actor(orchestrator_actor, 1));
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"orchestrator_actor",
"ready",
json!({"actor":orchestrator_actor}),
);
let stop_rx = stop_rx.unwrap_or_else(spawn_stop_listener);
let provisioner = config.build_provisioner(stack.runtime.clone())?;
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"node_provisioner",
"ready",
json!({
"provider":config.provider.as_str(),
"owner":"myelin-orchestrator",
"config":config.provider_telemetry_detail(),
}),
);
let (obs_tx, obs_rx) = mpsc::channel::<PluginObservation>();
let sink = PluginSink::new(Arc::new(ChannelObservationSink {
tx: Mutex::new(obs_tx),
}));
let (control_tx, control_rx) = mpsc::channel::<ControlCommand>();
dashboard::control::set_control_sender(control_tx);
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"fleet_control",
"started",
json!({
"mode":"manual",
"commands":["add","kill","destroy"],
"transport":"dashboard",
}),
);
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"serve_cluster",
"started",
json!({"mode":"daemon","poll_interval_ms":PUMP_INTERVAL.as_millis()}),
);
let result = serve_cluster(ServeCluster {
driver: &mut driver,
stack: &stack,
obs_rx: &obs_rx,
collector: &collector,
orchestrator_reports: &orchestrator_reports,
stop_rx: &stop_rx,
dashboard: dashboard.as_ref(),
orch_telemetry: &mut orch_telemetry,
orch_stdio_rx: orch_stdio_rx.as_ref(),
run_id: config.run_id,
orchestrator_node_id: config.node_id,
provider: &config.provider,
orchestrator_actor,
coordinator_endpoint,
engine: engine.handle(),
runtime: stack.runtime.clone(),
config: config.clone(),
provisioner,
live_clusters: BTreeMap::new(),
sink,
state_dir,
snapshot,
control_rx: &control_rx,
destroy_on_exit: config.destroy_on_exit,
});
if let Err(error) = &result {
bootstrap(
&mut orch_telemetry,
dashboard.as_ref(),
"serve_cluster",
"failed",
json!({"error":error}),
);
}
result
}
#[derive(Clone)]
struct VastAiRuntimeConfig {
api_key: Option<String>,
provisioning: VastAiProvisioningConfig,
bootstrap_command: Option<String>,
ssh_identity: Option<PathBuf>,
ssh_public_fingerprint: Option<String>,
}
impl VastAiRuntimeConfig {
fn from_builder(builder: &ConfigBuilder) -> Result<Self, String> {
let mut provisioning = VastAiProvisioningConfig::default();
macro_rules! raw_config {
($parser:ident, $env:literal, $raw:expr, $value:expr) => {
$raw.as_ref()
.map(|value| ConfigBuilder::$parser($env, value))
.transpose()?
.or($value)
};
}
if let Some(disk_gb) = raw_config!(
parse_value,
"MYELIN_VASTAI_DISK_GB",
builder.vastai_disk_gb_raw,
builder.vastai_disk_gb
) {
provisioning.disk_gb = disk_gb;
}
if let Some(ssh_user) = &builder.vastai_ssh_user {
provisioning.ssh_user = ssh_user.clone();
}
if let Some(confirm_lease) = raw_config!(
parse_bool,
"MYELIN_VASTAI_CONFIRM_LEASE",
builder.vastai_confirm_lease_raw,
builder.vastai_confirm_lease
) {
provisioning.confirm_lease = confirm_lease;
}
provisioning.onstart = builder.vastai_onstart.clone();
provisioning.selection.gpu_name = builder.vastai_gpu_name.clone();
if let Some(min_gpu_ram_mb) = raw_config!(
parse_value,
"MYELIN_VASTAI_MIN_GPU_RAM_MB",
builder.vastai_min_gpu_ram_mb_raw,
builder.vastai_min_gpu_ram_mb
) {
provisioning.selection.min_gpu_ram_mb = Some(min_gpu_ram_mb);
}
if let Some(min_down_mbps) = raw_config!(
parse_value,
"MYELIN_VASTAI_MIN_DOWN_MBPS",
builder.vastai_min_down_mbps_raw,
builder.vastai_min_down_mbps
) {
provisioning.selection.min_down_mbps = min_down_mbps;
}
if let Some(max_dph_total) = raw_config!(
parse_value,
"MYELIN_VASTAI_MAX_DPH_TOTAL",
builder.vastai_max_dph_total_raw,
builder.vastai_max_dph_total
) {
feat: working two stage pipeline parallel over vastai Land the first working two-stage pipeline-parallel run over VastAI, wiring a real inter-stage data path with observability, a max-price offer cap, and remote-image reuse. - orchestrator_app: raise the VastAI pipeline-stage cap from 1 to 2 and let VastAI pipeline planning resolve the HuggingFace GGUF from the default local cached-model metadata path instead of requiring host mounts; add --vastai-max-dph-total (CLI/env/TOML) config. - vastai_provisioning: make complete_bootstrap a no-op so the SSH bootstrap log tail stays alive past runtime-ready until node stop, preserving post-ready worker logs; add a test asserting the tail is only stopped on NodeStop. - worker_node: emit data-path NodeEvents across the pipeline (iroh_edge_stream_arrived/bytes_read/bytes_sent, egress_ring_read, ingress_ring_write) with edge/byte metadata. - tools/vastai: add max_dph_total (PP_MAX_DPH_TOTAL) to SelectionPolicy, the reachable-offer filter, and the search query, and improve the empty-pool error message. - xtask: pass --skip-rebuild for the VastAI scenario and gate it on a new require_vastai_data_path_facts plus GPU facts (ring install, activation object load/step, interstage handoff, iroh edge read/sent). - mvp_chat: add ChatModelConfig (model id/gguf/tokenizer/max-context) forwarded to the orchestrator; for VastAI + skip-rebuild, emit skip events and reuse the remote node image without a local build. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-24 08:59:32 +00:00
provisioning.selection.max_dph_total = Some(max_dph_total);
}
if let Some(min_up_mbps) = raw_config!(
parse_value,
"MYELIN_VASTAI_MIN_UP_MBPS",
builder.vastai_min_up_mbps_raw,
builder.vastai_min_up_mbps
) {
provisioning.selection.min_up_mbps = Some(min_up_mbps);
}
if let Some(min_reliability) = raw_config!(
parse_value,
"MYELIN_VASTAI_MIN_RELIABILITY",
builder.vastai_min_reliability_raw,
builder.vastai_min_reliability
) {
provisioning.selection.min_reliability = min_reliability;
}
if let Some(require_verified) = raw_config!(
parse_bool,
"MYELIN_VASTAI_REQUIRE_VERIFIED",
builder.vastai_require_verified_raw,
builder.vastai_require_verified
) {
provisioning.selection.require_verified = require_verified;
}
for host_id in &builder.vastai_blacklist_hosts {
if !provisioning.selection.blacklist_hosts.contains(host_id) {
provisioning.selection.blacklist_hosts.push(*host_id);
}
}
if let Some(poll_interval_secs) = raw_config!(
parse_value,
"MYELIN_VASTAI_POLL_INTERVAL_SECS",
builder.vastai_poll_interval_secs_raw,
builder.vastai_poll_interval_secs
) {
provisioning.lifecycle.poll_interval = Duration::from_secs(poll_interval_secs);
}
let ssh_identity = builder
.vastai_ssh_identity_raw
.as_ref()
.map(|value| expand_home_path(value))
.transpose()?;
Ok(Self {
api_key: builder.vastai_api_key.clone(),
provisioning,
bootstrap_command: builder.vastai_bootstrap_command.clone(),
ssh_identity,
ssh_public_fingerprint: None,
})
}
fn telemetry_detail(&self) -> Value {
json!({
"disk_gb": self.provisioning.disk_gb,
"ssh_user": &self.provisioning.ssh_user,
"gpu_name": &self.provisioning.selection.gpu_name,
"min_gpu_ram_mb": self.provisioning.selection.min_gpu_ram_mb,
feat: successful 8 stage pipeline parallel run, more metrics 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>
2026-07-25 16:04:57 +00:00
"min_compute_cap": self.provisioning.selection.min_compute_cap,
"min_down_mbps": self.provisioning.selection.min_down_mbps,
"min_up_mbps": self.provisioning.selection.min_up_mbps,
feat: working two stage pipeline parallel over vastai Land the first working two-stage pipeline-parallel run over VastAI, wiring a real inter-stage data path with observability, a max-price offer cap, and remote-image reuse. - orchestrator_app: raise the VastAI pipeline-stage cap from 1 to 2 and let VastAI pipeline planning resolve the HuggingFace GGUF from the default local cached-model metadata path instead of requiring host mounts; add --vastai-max-dph-total (CLI/env/TOML) config. - vastai_provisioning: make complete_bootstrap a no-op so the SSH bootstrap log tail stays alive past runtime-ready until node stop, preserving post-ready worker logs; add a test asserting the tail is only stopped on NodeStop. - worker_node: emit data-path NodeEvents across the pipeline (iroh_edge_stream_arrived/bytes_read/bytes_sent, egress_ring_read, ingress_ring_write) with edge/byte metadata. - tools/vastai: add max_dph_total (PP_MAX_DPH_TOTAL) to SelectionPolicy, the reachable-offer filter, and the search query, and improve the empty-pool error message. - xtask: pass --skip-rebuild for the VastAI scenario and gate it on a new require_vastai_data_path_facts plus GPU facts (ring install, activation object load/step, interstage handoff, iroh edge read/sent). - mvp_chat: add ChatModelConfig (model id/gguf/tokenizer/max-context) forwarded to the orchestrator; for VastAI + skip-rebuild, emit skip events and reuse the remote node image without a local build. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-24 08:59:32 +00:00
"max_dph_total": self.provisioning.selection.max_dph_total,
"min_reliability": self.provisioning.selection.min_reliability,
"require_verified": self.provisioning.selection.require_verified,
"blacklist_hosts": &self.provisioning.selection.blacklist_hosts,
feat: successful 8 stage pipeline parallel run, more metrics 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>
2026-07-25 16:04:57 +00:00
"state_timeout_secs": self.provisioning.lifecycle.state_timeout.as_secs(),
"confirm_lease": self.provisioning.confirm_lease,
"has_api_key": self.api_key.is_some(),
"has_onstart": self.provisioning.onstart.is_some(),
"has_bootstrap_command": self.bootstrap_command.is_some(),
"has_ssh_identity": self.ssh_identity.is_some(),
"ssh_public_fingerprint": self.ssh_public_fingerprint.as_deref(),
})
}
}
#[derive(Clone, Copy, Debug, PartialEq, Eq)]
enum RuntimeConfigProfile {
Local,
Deploy,
}
impl RuntimeConfigProfile {
fn parse(value: &str) -> Result<Self, String> {
match value.trim().to_ascii_lowercase().as_str() {
"local" => Ok(Self::Local),
"deploy" => Ok(Self::Deploy),
other => Err(format!(
"unsupported {MYELIN_RUNTIME_CONFIG_ENV}={other:?}; use local or deploy"
)),
}
}
}
#[derive(Clone)]
struct CachedModelConfig {
host_path: PathBuf,
container_path: String,
}
impl CachedModelConfig {
fn from_host_path(provider: &str, requested: PathBuf) -> Result<Self, String> {
if !matches!(provider, "process" | "docker" | "vastai") {
return Err(format!(
"{CACHED_MODEL_HOST_ENV} is a host-local cache path and is only supported by provider=process, provider=docker, or vastai planning"
));
}
let host_path = requested.canonicalize().map_err(|e| {
format!(
"resolve {CACHED_MODEL_HOST_ENV} path {}: {e}",
requested.display()
)
})?;
if !host_path.is_file() {
return Err(format!(
"{CACHED_MODEL_HOST_ENV} must point at a file: {}",
host_path.display()
));
}
let file_name = host_path
.file_name()
.and_then(|name| name.to_str())
.filter(|name| !name.is_empty())
.ok_or_else(|| {
format!(
"cached model path has no file name: {}",
host_path.display()
)
})?;
let container_path = format!("{CACHED_MODEL_CONTAINER_DIR}/{file_name}");
Ok(Self {
host_path,
container_path,
})
}
fn telemetry_detail(&self) -> Value {
json!({
"host_path_present": true,
"file": self.host_path.file_name().and_then(|name| name.to_str()),
"container_path": &self.container_path,
})
}
}
fn default_pipeline_cached_model_path() -> PathBuf {
let relative = PathBuf::from(".")
.join(DEFAULT_PIPELINE_MODEL_CACHE_DIR)
.join(DEFAULT_PIPELINE_CACHED_MODEL_FILE);
if relative.is_file() {
return relative;
}
PathBuf::from(env!("CARGO_MANIFEST_DIR"))
.join("..")
.join("..")
.join(DEFAULT_PIPELINE_MODEL_CACHE_DIR)
.join(DEFAULT_PIPELINE_CACHED_MODEL_FILE)
}
#[derive(Clone)]
struct Config {
config_profile: RuntimeConfigProfile,
image: String,
docker_gpus: String,
provider: ProviderKind,
run_id: u64,
node_id: u64,
stage_index: u32,
layer_end_exclusive: Option<u32>,
pipeline_stages: u32,
model_id: String,
gguf_source: GgufSource,
tokenizer: TokenizerSource,
default_max_tokens: u32,
dashboard: bool,
state_dir: PathBuf,
destroy_on_exit: bool,
reset_state: bool,
max_context: Option<u32>,
relay: RelayRuntimeConfig,
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
endpoint_addr_mask: EndpointAddrMask,
vastai: Option<VastAiRuntimeConfig>,
cached_model: Option<CachedModelConfig>,
telemetry_frame_log: Option<PathBuf>,
worker_bin: Option<PathBuf>,
}
#[derive(Clone)]
struct ConfigBuilder {
config_profile: RuntimeConfigProfile,
provider: Option<ProviderKind>,
image: String,
toml_vastai_image: Option<String>,
image_overridden_after_toml: bool,
docker_gpus: String,
run_id: u64,
node_id: u64,
stage_index: u32,
layer_end_exclusive: Option<u32>,
pipeline_stages: u32,
model_id: String,
gguf_source: GgufSource,
tokenizer: TokenizerSource,
default_max_tokens: u32,
dashboard: bool,
state_dir: Option<PathBuf>,
destroy_on_exit: bool,
reset_state: bool,
max_context: Option<u32>,
relay_mode: Option<String>,
relay_url: Option<String>,
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
endpoint_addr_mask: Option<String>,
vastai_api_key: Option<String>,
vastai_bootstrap_command: Option<String>,
vastai_disk_gb: Option<u32>,
vastai_disk_gb_raw: Option<String>,
vastai_ssh_user: Option<String>,
vastai_confirm_lease: Option<bool>,
vastai_confirm_lease_raw: Option<String>,
vastai_onstart: Option<String>,
vastai_ssh_identity_raw: Option<String>,
vastai_gpu_name: Option<String>,
vastai_min_gpu_ram_mb: Option<u64>,
vastai_min_gpu_ram_mb_raw: Option<String>,
vastai_min_down_mbps: Option<f64>,
vastai_min_down_mbps_raw: Option<String>,
vastai_min_up_mbps: Option<f64>,
feat: working two stage pipeline parallel over vastai Land the first working two-stage pipeline-parallel run over VastAI, wiring a real inter-stage data path with observability, a max-price offer cap, and remote-image reuse. - orchestrator_app: raise the VastAI pipeline-stage cap from 1 to 2 and let VastAI pipeline planning resolve the HuggingFace GGUF from the default local cached-model metadata path instead of requiring host mounts; add --vastai-max-dph-total (CLI/env/TOML) config. - vastai_provisioning: make complete_bootstrap a no-op so the SSH bootstrap log tail stays alive past runtime-ready until node stop, preserving post-ready worker logs; add a test asserting the tail is only stopped on NodeStop. - worker_node: emit data-path NodeEvents across the pipeline (iroh_edge_stream_arrived/bytes_read/bytes_sent, egress_ring_read, ingress_ring_write) with edge/byte metadata. - tools/vastai: add max_dph_total (PP_MAX_DPH_TOTAL) to SelectionPolicy, the reachable-offer filter, and the search query, and improve the empty-pool error message. - xtask: pass --skip-rebuild for the VastAI scenario and gate it on a new require_vastai_data_path_facts plus GPU facts (ring install, activation object load/step, interstage handoff, iroh edge read/sent). - mvp_chat: add ChatModelConfig (model id/gguf/tokenizer/max-context) forwarded to the orchestrator; for VastAI + skip-rebuild, emit skip events and reuse the remote node image without a local build. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-24 08:59:32 +00:00
vastai_max_dph_total: Option<f64>,
vastai_max_dph_total_raw: Option<String>,
vastai_min_up_mbps_raw: Option<String>,
vastai_min_reliability: Option<f64>,
vastai_min_reliability_raw: Option<String>,
vastai_require_verified: Option<bool>,
vastai_require_verified_raw: Option<String>,
vastai_poll_interval_secs: Option<u64>,
vastai_blacklist_hosts: Vec<u64>,
vastai_poll_interval_secs_raw: Option<String>,
cached_model_host_path: Option<PathBuf>,
telemetry_frame_log: Option<PathBuf>,
worker_bin: Option<PathBuf>,
}
impl ConfigBuilder {
fn hardcoded_defaults() -> Self {
Self {
config_profile: RuntimeConfigProfile::Local,
provider: None,
image: DEFAULT_IMAGE.to_owned(),
toml_vastai_image: None,
image_overridden_after_toml: false,
docker_gpus: "all".to_owned(),
run_id: 1,
node_id: 1,
stage_index: 0,
layer_end_exclusive: None,
pipeline_stages: 1,
model_id: DEFAULT_MODEL_ID.to_owned(),
gguf_source: GgufSource::HuggingFaceGguf {
repo: DEFAULT_HF_REPO.to_owned(),
file: DEFAULT_HF_FILE.to_owned(),
revision: None,
},
tokenizer: TokenizerSource::EmbeddedGguf,
default_max_tokens: DEFAULT_MAX_TOKENS,
dashboard: true,
state_dir: None,
destroy_on_exit: false,
reset_state: false,
max_context: None,
relay_mode: None,
relay_url: None,
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
endpoint_addr_mask: None,
vastai_api_key: None,
vastai_bootstrap_command: None,
vastai_disk_gb: None,
vastai_disk_gb_raw: None,
vastai_ssh_user: None,
vastai_confirm_lease: None,
vastai_confirm_lease_raw: None,
vastai_onstart: None,
vastai_ssh_identity_raw: None,
vastai_gpu_name: None,
vastai_min_gpu_ram_mb: None,
vastai_min_gpu_ram_mb_raw: None,
vastai_min_down_mbps: None,
vastai_min_down_mbps_raw: None,
feat: working two stage pipeline parallel over vastai Land the first working two-stage pipeline-parallel run over VastAI, wiring a real inter-stage data path with observability, a max-price offer cap, and remote-image reuse. - orchestrator_app: raise the VastAI pipeline-stage cap from 1 to 2 and let VastAI pipeline planning resolve the HuggingFace GGUF from the default local cached-model metadata path instead of requiring host mounts; add --vastai-max-dph-total (CLI/env/TOML) config. - vastai_provisioning: make complete_bootstrap a no-op so the SSH bootstrap log tail stays alive past runtime-ready until node stop, preserving post-ready worker logs; add a test asserting the tail is only stopped on NodeStop. - worker_node: emit data-path NodeEvents across the pipeline (iroh_edge_stream_arrived/bytes_read/bytes_sent, egress_ring_read, ingress_ring_write) with edge/byte metadata. - tools/vastai: add max_dph_total (PP_MAX_DPH_TOTAL) to SelectionPolicy, the reachable-offer filter, and the search query, and improve the empty-pool error message. - xtask: pass --skip-rebuild for the VastAI scenario and gate it on a new require_vastai_data_path_facts plus GPU facts (ring install, activation object load/step, interstage handoff, iroh edge read/sent). - mvp_chat: add ChatModelConfig (model id/gguf/tokenizer/max-context) forwarded to the orchestrator; for VastAI + skip-rebuild, emit skip events and reuse the remote node image without a local build. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-24 08:59:32 +00:00
vastai_max_dph_total: None,
vastai_max_dph_total_raw: None,
vastai_min_up_mbps: None,
vastai_min_up_mbps_raw: None,
vastai_min_reliability: None,
vastai_min_reliability_raw: None,
vastai_require_verified: None,
vastai_require_verified_raw: None,
vastai_poll_interval_secs: None,
vastai_blacklist_hosts: Vec::new(),
vastai_poll_interval_secs_raw: None,
cached_model_host_path: None,
telemetry_frame_log: None,
worker_bin: None,
}
}
fn overlay_toml(mut self, overlay: TomlConfigOverlay) -> Result<Self, String> {
macro_rules! apply {
($option:expr, |$value:ident| $body:block) => {
if let Some($value) = $option $body
};
}
apply!(overlay.runtime.profile, |profile| {
self.config_profile = RuntimeConfigProfile::parse(&profile)?;
});
apply!(overlay.runtime.run_id, |run_id| { self.run_id = run_id });
apply!(overlay.runtime.node_id, |node_id| {
self.node_id = node_id
});
apply!(overlay.runtime.stage_index, |stage_index| {
self.stage_index = stage_index
});
apply!(overlay.runtime.layer_end_exclusive, |layer_end_exclusive| {
self.layer_end_exclusive = Some(layer_end_exclusive)
});
apply!(overlay.runtime.pipeline_stages, |pipeline_stages| {
self.pipeline_stages = pipeline_stages
});
apply!(overlay.provider.kind, |provider| {
self.provider = Some(provider_kind::parse_deploy(&provider)?);
});
apply!(overlay.image.node, |image| { self.image = image });
apply!(overlay.relay.mode, |mode| { self.relay_mode = Some(mode) });
apply!(overlay.relay.url, |url| { self.relay_url = Some(url) });
apply!(overlay.prompt.max_tokens, |max_tokens| {
self.default_max_tokens = max_tokens
});
apply!(overlay.prompt.dashboard, |dashboard| {
self.dashboard = dashboard
});
apply!(overlay.model.id, |model_id| { self.model_id = model_id });
apply!(overlay.model.gguf_local_path, |path| {
self.gguf_source = GgufSource::LocalPath(path)
});
apply!(overlay.model.gguf_repo, |repo| {
self.set_hf_source(Some(repo), None, None)
});
apply!(overlay.model.gguf_file, |file| {
self.set_hf_source(None, Some(file), None)
});
apply!(overlay.model.gguf_revision, |revision| {
self.set_hf_source(None, None, Some(Some(revision)))
});
apply!(overlay.model.tokenizer_local_path, |path| {
self.tokenizer = TokenizerSource::LocalPath(path)
});
apply!(overlay.model.max_context, |max_context| {
self.max_context = Some(max_context)
});
apply!(overlay.docker.gpus, |gpus| { self.docker_gpus = gpus });
apply!(overlay.docker.cached_model_host_path, |path| {
self.cached_model_host_path = Some(PathBuf::from(path))
});
apply!(overlay.observability.telemetry_frame_log, |path| {
self.telemetry_frame_log = Some(PathBuf::from(path))
});
apply!(overlay.vastai.image, |image| {
self.toml_vastai_image = Some(image)
});
apply!(overlay.vastai.api_key, |api_key| {
self.vastai_api_key = Some(api_key)
});
apply!(overlay.vastai.bootstrap_command, |command| {
self.vastai_bootstrap_command = Some(command)
});
apply!(overlay.vastai.disk_gb, |disk_gb| {
self.vastai_disk_gb = Some(disk_gb)
});
apply!(overlay.vastai.ssh_user, |ssh_user| {
self.vastai_ssh_user = Some(ssh_user)
});
apply!(overlay.vastai.confirm_lease, |confirm_lease| {
self.vastai_confirm_lease = Some(confirm_lease)
});
apply!(overlay.vastai.onstart, |onstart| {
self.vastai_onstart = Some(onstart)
});
apply!(overlay.vastai.ssh_identity, |identity| {
self.vastai_ssh_identity_raw = Some(identity)
});
apply!(overlay.vastai.gpu_name, |gpu_name| {
self.vastai_gpu_name = Some(gpu_name)
});
apply!(overlay.vastai.min_gpu_ram_mb, |min_gpu_ram_mb| {
self.vastai_min_gpu_ram_mb = Some(min_gpu_ram_mb)
});
apply!(overlay.vastai.min_down_mbps, |min_down_mbps| {
self.vastai_min_down_mbps = Some(min_down_mbps)
});
apply!(overlay.vastai.max_dph_total, |max_dph_total| {
self.vastai_max_dph_total = Some(max_dph_total)
});
apply!(overlay.vastai.min_up_mbps, |min_up_mbps| {
self.vastai_min_up_mbps = Some(min_up_mbps)
});
apply!(overlay.vastai.min_reliability, |min_reliability| {
self.vastai_min_reliability = Some(min_reliability)
});
apply!(overlay.vastai.require_verified, |require_verified| {
self.vastai_require_verified = Some(require_verified)
});
for host_id in overlay.vastai.blacklist_hosts {
self.push_vastai_blacklist_host(host_id);
}
apply!(overlay.vastai.poll_interval_secs, |poll_interval_secs| {
self.vastai_poll_interval_secs = Some(poll_interval_secs)
});
Ok(self)
}
fn overlay_env(mut self) -> Result<Self, String> {
macro_rules! apply {
($option:expr, |$value:ident| $body:block) => {
if let Some($value) = $option $body
};
}
macro_rules! env_apply {
($name:expr, |$value:ident| $body:block) => {
apply!(env_optional($name), |$value| $body)
};
}
macro_rules! env_parse {
($name:expr, |$value:ident| $body:block) => {
env_apply!($name, |raw| {
let $value = Self::parse_value($name, &raw)?;
$body
})
};
}
env_apply!(MYELIN_RUNTIME_CONFIG_ENV, |profile| {
self.config_profile = RuntimeConfigProfile::parse(&profile)?;
});
env_parse!("MYELIN_RUN_ID", |run_id| { self.run_id = run_id });
env_parse!("MYELIN_LOGICAL_NODE_ID", |node_id| {
self.node_id = node_id
});
env_parse!("MYELIN_STAGE_INDEX", |stage_index| {
self.stage_index = stage_index
});
env_parse!("MYELIN_LAYER_END_EXCLUSIVE", |layer_end_exclusive| {
self.layer_end_exclusive = Some(layer_end_exclusive)
});
env_parse!("MYELIN_PIPELINE_STAGES", |pipeline_stages| {
self.pipeline_stages = pipeline_stages
});
apply!(
env_optional("MYELIN_NODE_PROVIDER").or_else(|| env_optional("MYELIN_PROVIDER")),
|provider| {
self.provider = Some(provider_kind::parse_deploy(&provider)?);
}
);
env_apply!("MYELIN_NODE_IMAGE", |image| {
self.image = image;
self.image_overridden_after_toml = true;
});
env_apply!("MYELIN_DOCKER_GPUS", |gpus| { self.docker_gpus = gpus });
env_apply!(CACHED_MODEL_HOST_ENV, |path| {
self.cached_model_host_path = Some(PathBuf::from(path))
});
env_apply!(MYELIN_WORKER_BIN_ENV, |path| {
self.worker_bin = Some(PathBuf::from(path))
});
env_parse!("MYELIN_PROMPT_MAX_TOKENS", |max_tokens| {
self.default_max_tokens = max_tokens
});
env_apply!("MYELIN_DASHBOARD", |dashboard| {
self.dashboard = Self::parse_bool("MYELIN_DASHBOARD", &dashboard)?;
});
env_apply!("MYELIN_STATE_DIR", |state_dir| {
self.state_dir = Some(PathBuf::from(state_dir))
});
env_apply!("MYELIN_DESTROY_ON_EXIT", |destroy_on_exit| {
self.destroy_on_exit = Self::parse_bool("MYELIN_DESTROY_ON_EXIT", &destroy_on_exit)?;
});
env_apply!(TELEMETRY_FRAME_LOG_ENV, |path| {
self.telemetry_frame_log = Some(PathBuf::from(path))
});
env_apply!("MYELIN_MODEL_ID", |model_id| { self.model_id = model_id });
env_apply!("MYELIN_GGUF_LOCAL_PATH", |path| {
self.gguf_source = GgufSource::LocalPath(path)
});
env_apply!("MYELIN_GGUF_REPO", |repo| {
self.set_hf_source(Some(repo), None, None)
});
env_apply!("MYELIN_GGUF_FILE", |file| {
self.set_hf_source(None, Some(file), None)
});
env_apply!("MYELIN_GGUF_REVISION", |revision| {
self.set_hf_source(None, None, Some(Some(revision)))
});
env_apply!("MYELIN_TOKENIZER_LOCAL_PATH", |path| {
self.tokenizer = TokenizerSource::LocalPath(path)
});
env_parse!("MYELIN_MAX_CONTEXT", |max_context| {
self.max_context = Some(max_context)
});
env_apply!("MYELIN_IROH_RELAY_MODE", |mode| {
self.relay_mode = Some(mode.to_ascii_lowercase())
});
apply!(
env_optional(MYELIN_IROH_RELAY_URL_ENV)
.or_else(|| env_optional(SWACTOR_IROH_RELAY_URL_ENV)),
|url| {
self.relay_url = Some(url);
}
);
env_apply!(MVP_IROH_ENDPOINT_ADDR_MASK_ENV, |mask| {
self.endpoint_addr_mask = Some(mask)
});
apply!(
env_optional("VAST_API_KEY")
.or_else(|| env_optional("MYELIN_VASTAI_API_KEY"))
.or_else(|| env_optional("VASTAI_API_KEY")),
|api_key| {
self.vastai_api_key = Some(api_key);
}
);
env_apply!("MYELIN_VASTAI_BOOTSTRAP_COMMAND", |command| {
self.vastai_bootstrap_command = Some(command)
});
env_apply!("MYELIN_VASTAI_SSH_IDENTITY", |identity| {
self.vastai_ssh_identity_raw = Some(identity)
});
env_apply!("MYELIN_VASTAI_DISK_GB", |disk_gb| {
self.vastai_disk_gb_raw = Some(disk_gb)
});
env_apply!("MYELIN_VASTAI_SSH_USER", |ssh_user| {
self.vastai_ssh_user = Some(ssh_user)
});
env_apply!("MYELIN_VASTAI_CONFIRM_LEASE", |confirm_lease| {
self.vastai_confirm_lease_raw = Some(confirm_lease)
});
env_apply!("MYELIN_VASTAI_ONSTART", |onstart| {
self.vastai_onstart = Some(onstart)
});
env_apply!("MYELIN_VASTAI_GPU_NAME", |gpu_name| {
self.vastai_gpu_name = Some(gpu_name)
});
env_apply!("MYELIN_VASTAI_MIN_GPU_RAM_MB", |min_gpu_ram_mb| {
self.vastai_min_gpu_ram_mb_raw = Some(min_gpu_ram_mb)
});
env_apply!("MYELIN_VASTAI_MIN_DOWN_MBPS", |min_down_mbps| {
self.vastai_min_down_mbps_raw = Some(min_down_mbps)
});
env_apply!("MYELIN_VASTAI_MAX_DPH_TOTAL", |max_dph_total| {
self.vastai_max_dph_total_raw = Some(max_dph_total)
});
env_apply!("MYELIN_VASTAI_MIN_UP_MBPS", |min_up_mbps| {
self.vastai_min_up_mbps_raw = Some(min_up_mbps)
});
env_apply!("MYELIN_VASTAI_MIN_RELIABILITY", |min_reliability| {
self.vastai_min_reliability_raw = Some(min_reliability)
});
env_apply!("MYELIN_VASTAI_REQUIRE_VERIFIED", |require_verified| {
self.vastai_require_verified_raw = Some(require_verified)
});
env_apply!("MYELIN_VASTAI_BLACKLIST_HOSTS", |blacklist_hosts| {
for host_id in Self::parse_list("MYELIN_VASTAI_BLACKLIST_HOSTS", &blacklist_hosts)? {
self.push_vastai_blacklist_host(host_id);
}
});
env_apply!("MYELIN_VASTAI_POLL_INTERVAL_SECS", |poll_interval_secs| {
self.vastai_poll_interval_secs_raw = Some(poll_interval_secs)
});
Ok(self)
}
fn overlay_cli(mut self, args: impl IntoIterator<Item = String>) -> Result<Self, String> {
let mut args = args.into_iter();
while let Some(arg) = args.next() {
match arg.as_str() {
"--runtime-config" => {
self.config_profile =
RuntimeConfigProfile::parse(&next_arg(&mut args, "--runtime-config")?)?
}
"--provider" => {
self.provider = Some(provider_kind::parse_deploy(&next_arg(
&mut args,
"--provider",
)?)?)
}
"--worker-bin" => {
self.worker_bin = Some(PathBuf::from(next_arg(&mut args, "--worker-bin")?))
}
"--image" => {
self.image = next_arg(&mut args, "--image")?;
self.image_overridden_after_toml = true;
}
"--gpus" => self.docker_gpus = next_arg(&mut args, "--gpus")?,
"--run-id" => self.run_id = parse_next(&mut args, "--run-id")?,
"--node-id" => self.node_id = parse_next(&mut args, "--node-id")?,
"--stage-index" => self.stage_index = parse_next(&mut args, "--stage-index")?,
"--layer-end-exclusive" => {
self.layer_end_exclusive = Some(parse_next(&mut args, "--layer-end-exclusive")?)
}
"-N" | "--pipeline-stages" => self.pipeline_stages = parse_next(&mut args, &arg)?,
"--max-tokens" => self.default_max_tokens = parse_next(&mut args, "--max-tokens")?,
"--dashboard" => self.dashboard = true,
"--no-dashboard" => self.dashboard = false,
"--state-dir" => {
self.state_dir = Some(PathBuf::from(next_arg(&mut args, "--state-dir")?))
}
"--destroy-on-exit" => self.destroy_on_exit = true,
"--reset-state" => self.reset_state = true,
"--telemetry-frame-log" => {
self.telemetry_frame_log =
Some(PathBuf::from(next_arg(&mut args, "--telemetry-frame-log")?));
}
"--model-id" => self.model_id = next_arg(&mut args, "--model-id")?,
"--gguf-local-path" => {
self.gguf_source =
GgufSource::LocalPath(next_arg(&mut args, "--gguf-local-path")?)
}
"--gguf-repo" => {
self.set_hf_source(Some(next_arg(&mut args, "--gguf-repo")?), None, None)
}
"--gguf-file" => {
self.set_hf_source(None, Some(next_arg(&mut args, "--gguf-file")?), None)
}
"--gguf-revision" => self.set_hf_source(
None,
None,
Some(Some(next_arg(&mut args, "--gguf-revision")?)),
),
"--tokenizer-local-path" => {
self.tokenizer =
TokenizerSource::LocalPath(next_arg(&mut args, "--tokenizer-local-path")?)
}
"--max-context" => self.max_context = Some(parse_next(&mut args, "--max-context")?),
"--cached-model-host-path" => {
self.cached_model_host_path = Some(PathBuf::from(next_arg(
&mut args,
"--cached-model-host-path",
)?));
}
"--relay-mode" => self.relay_mode = Some(next_arg(&mut args, "--relay-mode")?),
"--relay-url" => self.relay_url = Some(next_arg(&mut args, "--relay-url")?),
"--endpoint-addr-mask" => {
self.endpoint_addr_mask = Some(next_arg(&mut args, "--endpoint-addr-mask")?)
}
"--vastai-disk-gb" => {
self.vastai_disk_gb = Some(parse_next(&mut args, "--vastai-disk-gb")?);
self.vastai_disk_gb_raw = None;
}
"--vastai-min-gpu-ram-mb" => {
self.vastai_min_gpu_ram_mb =
Some(parse_next(&mut args, "--vastai-min-gpu-ram-mb")?);
self.vastai_min_gpu_ram_mb_raw = None;
}
"--vastai-min-down-mbps" => {
self.vastai_min_down_mbps =
Some(parse_next(&mut args, "--vastai-min-down-mbps")?);
self.vastai_min_down_mbps_raw = None;
}
"--vastai-max-dph-total" => {
self.vastai_max_dph_total =
Some(parse_next(&mut args, "--vastai-max-dph-total")?);
self.vastai_max_dph_total_raw = None;
}
"--vastai-min-up-mbps" => {
self.vastai_min_up_mbps = Some(parse_next(&mut args, "--vastai-min-up-mbps")?);
self.vastai_min_up_mbps_raw = None;
}
"--vastai-min-reliability" => {
self.vastai_min_reliability =
Some(parse_next(&mut args, "--vastai-min-reliability")?);
self.vastai_min_reliability_raw = None;
}
"--vastai-blacklist-host" => {
let host_id = parse_next(&mut args, "--vastai-blacklist-host")?;
self.push_vastai_blacklist_host(host_id);
}
"--vastai-poll-interval-secs" => {
self.vastai_poll_interval_secs =
Some(parse_next(&mut args, "--vastai-poll-interval-secs")?);
self.vastai_poll_interval_secs_raw = None;
}
"--vastai-api-key" => {
self.vastai_api_key = Some(next_arg(&mut args, "--vastai-api-key")?)
}
"--vastai-bootstrap-command" => {
self.vastai_bootstrap_command =
Some(next_arg(&mut args, "--vastai-bootstrap-command")?)
}
"--vastai-ssh-identity" => {
self.vastai_ssh_identity_raw =
Some(next_arg(&mut args, "--vastai-ssh-identity")?);
}
"--vastai-ssh-user" => {
self.vastai_ssh_user = Some(next_arg(&mut args, "--vastai-ssh-user")?)
}
"--vastai-onstart" => {
self.vastai_onstart = Some(next_arg(&mut args, "--vastai-onstart")?)
}
"--vastai-gpu-name" => {
self.vastai_gpu_name = Some(next_arg(&mut args, "--vastai-gpu-name")?)
}
"--vastai-confirm-lease" => {
self.vastai_confirm_lease = Some(true);
self.vastai_confirm_lease_raw = None;
}
"--no-vastai-confirm-lease" => {
self.vastai_confirm_lease = Some(false);
self.vastai_confirm_lease_raw = None;
}
"--vastai-require-verified" => {
self.vastai_require_verified = Some(true);
self.vastai_require_verified_raw = None;
}
"--no-vastai-require-verified" => {
self.vastai_require_verified = Some(false);
self.vastai_require_verified_raw = None;
}
_ => return Err(format!("unknown argument {arg:?}")),
}
}
Ok(self)
}
fn finalize(self) -> Result<Config, String> {
let provider = self
.provider
.clone()
.unwrap_or_else(|| match self.config_profile {
RuntimeConfigProfile::Local => provider_kind::process(),
RuntimeConfigProfile::Deploy => provider_kind::vastai(),
});
let provider_name = provider.as_str();
let mut image = self.image.clone();
if provider_name == "vastai" && !self.image_overridden_after_toml {
if let Some(vastai_image) = &self.toml_vastai_image {
image = vastai_image.clone();
}
}
if self.pipeline_stages == 0 {
return Err("--pipeline-stages must be greater than 0".to_owned());
}
let mut cached_model_host_path = self.cached_model_host_path.clone();
if matches!(provider_name, "process" | "docker")
&& self.pipeline_stages > 1
&& cached_model_host_path.is_none()
&& (matches!(
&self.gguf_source,
GgufSource::HuggingFaceGguf {
repo,
file,
revision: None,
} if repo == DEFAULT_HF_REPO && file == DEFAULT_HF_FILE
) || matches!(
&self.gguf_source,
GgufSource::HuggingFaceGguf {
file,
revision: None,
..
} if file == DEFAULT_PIPELINE_CACHED_MODEL_FILE
))
{
cached_model_host_path = Some(default_pipeline_cached_model_path());
}
let cached_model = cached_model_host_path
.map(|path| CachedModelConfig::from_host_path(provider_name, path))
.transpose()?;
let mut gguf_source = self.gguf_source.clone();
if let Some(cached_model) = &cached_model {
if provider_name != "vastai" {
gguf_source = GgufSource::LocalPath(if provider_name == "process" {
cached_model.host_path.to_string_lossy().to_string()
} else {
cached_model.container_path.clone()
});
}
}
let relay = relay_runtime_config_from_settings(
self.run_id,
self.relay_mode.as_deref(),
self.relay_url.as_deref(),
)?;
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
let endpoint_addr_mask = match self.endpoint_addr_mask.as_deref() {
Some(mask) => EndpointAddrMask::parse(mask)?,
None => EndpointAddrMask::Full,
};
let vastai = (provider_name == "vastai")
.then(|| VastAiRuntimeConfig::from_builder(&self))
.transpose()?;
Ok(Config {
config_profile: self.config_profile,
image,
docker_gpus: self.docker_gpus,
provider,
run_id: self.run_id,
node_id: self.node_id,
stage_index: self.stage_index,
layer_end_exclusive: self.layer_end_exclusive,
pipeline_stages: self.pipeline_stages,
model_id: self.model_id,
gguf_source,
tokenizer: self.tokenizer,
default_max_tokens: self.default_max_tokens,
dashboard: self.dashboard,
state_dir: self
.state_dir
.clone()
.unwrap_or_else(|| PathBuf::from(DEFAULT_STATE_DIR)),
destroy_on_exit: self.destroy_on_exit,
reset_state: self.reset_state,
max_context: self.max_context,
relay,
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
endpoint_addr_mask,
vastai,
cached_model,
worker_bin: self.worker_bin,
telemetry_frame_log: self.telemetry_frame_log,
})
}
fn set_hf_source(
&mut self,
repo: Option<String>,
file: Option<String>,
revision: Option<Option<String>>,
) {
let (current_repo, current_file, current_revision) = match &self.gguf_source {
GgufSource::HuggingFaceGguf {
repo,
file,
revision,
} => (repo.clone(), file.clone(), revision.clone()),
GgufSource::LocalPath(_) => {
(DEFAULT_HF_REPO.to_owned(), DEFAULT_HF_FILE.to_owned(), None)
}
};
self.gguf_source = GgufSource::HuggingFaceGguf {
repo: repo.unwrap_or(current_repo),
file: file.unwrap_or(current_file),
revision: revision.unwrap_or(current_revision),
};
}
fn push_vastai_blacklist_host(&mut self, host_id: u64) {
if !self.vastai_blacklist_hosts.contains(&host_id) {
self.vastai_blacklist_hosts.push(host_id);
}
}
fn parse_list<T>(name: &str, value: &str) -> Result<Vec<T>, String>
where
T: std::str::FromStr,
T::Err: std::fmt::Display,
{
value
.split(',')
.map(str::trim)
.filter(|part| !part.is_empty())
.map(|part| Self::parse_value(name, part))
.collect()
}
fn parse_value<T>(name: &str, value: &str) -> Result<T, String>
where
T: std::str::FromStr,
T::Err: std::fmt::Display,
{
value
.parse::<T>()
.map_err(|e| format!("invalid {name}={value:?}: {e}"))
}
fn parse_bool(name: &str, value: &str) -> Result<bool, String> {
match value.to_ascii_lowercase().as_str() {
"1" | "true" | "yes" | "on" => Ok(true),
"0" | "false" | "no" | "off" => Ok(false),
_ => Err(format!(
"invalid {name}={value:?}; use 1/0, true/false, yes/no, or on/off"
)),
}
}
}
impl Config {
fn uses_planned_execution(&self) -> bool {
self.cached_model.is_some() || self.pipeline_stages > 1
}
fn provider_telemetry_detail(&self) -> Value {
match self.provider.as_str() {
"process" => json!({
"worker_bin": self.worker_bin.as_ref().map(|path| path.to_string_lossy().to_string()),
"cached_model": self.cached_model.as_ref().map(CachedModelConfig::telemetry_detail),
}),
"docker" => json!({
"docker_gpus": &self.docker_gpus,
"cached_model": self.cached_model.as_ref().map(CachedModelConfig::telemetry_detail),
}),
"vastai" => self
.vastai
.as_ref()
.map_or_else(|| json!({}), VastAiRuntimeConfig::telemetry_detail),
_ => json!({}),
}
}
fn build_run_plan(&self) -> Result<run_plan::RunPlan, String> {
let host_path = self.local_planning_gguf_path()?;
let metadata = crate::staging::gguf_metadata::read_gguf_planning_metadata(&host_path)?;
let model = metadata.to_model_facts(
self.model_id.clone(),
self.gguf_source.clone(),
self.tokenizer.clone(),
self.max_context,
)?;
if self.pipeline_stages > model.num_layers {
return Err(format!(
"--pipeline-stages={} exceeds GGUF layer count {}; choose N <= {}",
self.pipeline_stages, model.num_layers, model.num_layers
));
}
let activation_extent = model
.max_seq_len
.checked_mul(model.hidden_dim)
.and_then(|value| value.checked_mul(model.dtype_width_bytes))
.ok_or_else(|| "activation ring size overflow while planning pipeline".to_owned())?;
let activation_data_capacity = run_plan::MO01_HEADER_BYTES
.checked_add(activation_extent)
.ok_or_else(|| {
"activation ring data capacity overflow while planning pipeline".to_owned()
})?;
let token_extent = model
.max_seq_len
.checked_mul(4)
.ok_or_else(|| "token ring size overflow while planning pipeline".to_owned())?;
let token_data_capacity = run_plan::MO01_HEADER_BYTES
.checked_add(token_extent)
.ok_or_else(|| {
"token ring data capacity overflow while planning pipeline".to_owned()
})?;
let candidate_pool = (0..self.pipeline_stages)
.map(|stage_index| run_plan::NodeId(self.node_id + 1 + u64::from(stage_index)))
.collect::<Vec<_>>();
let placement = run_plan::PlacementInput::FixedLinear(
candidate_pool
.iter()
.enumerate()
.map(|(stage_index, node_id)| run_plan::StagePlacement {
stage_index: stage_index as u32,
node_id: *node_id,
})
.collect(),
);
run_plan::plan_run(run_plan::PlannerInput {
run_id: run_plan::RunId(self.run_id),
orchestrator_node_id: run_plan::NodeId(self.node_id),
model,
runtime: run_plan::RuntimeConfig {
max_tokens: self.default_max_tokens,
sampling: run_plan::SamplingPolicy {
temperature_millis: 0,
top_k: 1,
},
},
candidate_pool,
stage_count: self.pipeline_stages,
placement,
activation_ring: run_plan::RingSpec {
data_capacity: activation_data_capacity,
alignment: 64,
direction: run_plan::RingDirection::Egress,
host_pinning: run_plan::HostPinning::Pageable,
wake_coalescing: run_plan::WakeCoalescing::PendingBit,
},
token_ring: run_plan::RingSpec {
data_capacity: token_data_capacity,
alignment: 8,
direction: run_plan::RingDirection::Egress,
host_pinning: run_plan::HostPinning::Pageable,
wake_coalescing: run_plan::WakeCoalescing::PendingBit,
},
})
.map_err(|e| format!("plan pipeline run: {:?}", e.kind()))
}
fn local_planning_gguf_path(&self) -> Result<PathBuf, String> {
if let Some(cached_model) = &self.cached_model {
return Ok(cached_model.host_path.clone());
}
match &self.gguf_source {
GgufSource::LocalPath(path) => {
let host_path = PathBuf::from(path);
if host_path.is_file() {
Ok(host_path)
} else {
Err(format!(
"local pipeline requires a locally inspectable GGUF before provisioning; {path:?} is not a host file, so use --cached-model-host-path"
))
}
}
GgufSource::HuggingFaceGguf {
repo,
file,
revision: None,
} if self.provider.as_str() == "vastai"
&& file == DEFAULT_PIPELINE_CACHED_MODEL_FILE =>
feat: working two stage pipeline parallel over vastai Land the first working two-stage pipeline-parallel run over VastAI, wiring a real inter-stage data path with observability, a max-price offer cap, and remote-image reuse. - orchestrator_app: raise the VastAI pipeline-stage cap from 1 to 2 and let VastAI pipeline planning resolve the HuggingFace GGUF from the default local cached-model metadata path instead of requiring host mounts; add --vastai-max-dph-total (CLI/env/TOML) config. - vastai_provisioning: make complete_bootstrap a no-op so the SSH bootstrap log tail stays alive past runtime-ready until node stop, preserving post-ready worker logs; add a test asserting the tail is only stopped on NodeStop. - worker_node: emit data-path NodeEvents across the pipeline (iroh_edge_stream_arrived/bytes_read/bytes_sent, egress_ring_read, ingress_ring_write) with edge/byte metadata. - tools/vastai: add max_dph_total (PP_MAX_DPH_TOTAL) to SelectionPolicy, the reachable-offer filter, and the search query, and improve the empty-pool error message. - xtask: pass --skip-rebuild for the VastAI scenario and gate it on a new require_vastai_data_path_facts plus GPU facts (ring install, activation object load/step, interstage handoff, iroh edge read/sent). - mvp_chat: add ChatModelConfig (model id/gguf/tokenizer/max-context) forwarded to the orchestrator; for VastAI + skip-rebuild, emit skip events and reuse the remote node image without a local build. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-24 08:59:32 +00:00
{
let host_path = default_pipeline_cached_model_path();
if host_path.is_file() {
Ok(host_path)
} else {
Err(format!(
"VastAI pipeline planning requires local GGUF metadata at {}; selected remote source is {repo}/{file}",
host_path.display()
))
}
}
GgufSource::HuggingFaceGguf { repo, file, .. } => Err(format!(
"local pipeline requires a locally inspectable GGUF before provisioning; selected source {repo}/{file} is remote, so use --cached-model-host-path"
)),
}
}
fn prepare_vastai_ssh_key(&mut self) -> Result<(), String> {
if self.provider.as_str() != "vastai" {
return Ok(());
}
let api_key = self
.vastai
.as_ref()
.and_then(|vastai| vastai.api_key.as_deref())
.ok_or_else(|| {
"VAST_API_KEY, MYELIN_VASTAI_API_KEY, or VASTAI_API_KEY is required when MYELIN_NODE_PROVIDER=vastai"
.to_owned()
})?
.to_owned();
let identity = resolve_vastai_ssh_identity(
self.vastai
.as_ref()
.and_then(|vastai| vastai.ssh_identity.clone()),
)?;
if !identity.is_file() {
return Err(format!(
"missing VastAI SSH identity {}; create/register one with vastai create ssh-key or set MYELIN_VASTAI_SSH_IDENTITY",
identity.display()
));
}
let public_key = derive_ssh_public_key(&identity)?;
let fingerprint = ssh_public_key_fingerprint(&public_key);
ensure_vastai_account_ssh_key(&api_key, &public_key)?;
eprintln!(
"VastAI SSH identity {} fingerprint {} registered for account",
identity.display(),
fingerprint
);
let vastai = self
.vastai
.as_mut()
.expect("VastAI config exists when provider is vastai");
vastai.ssh_identity = Some(identity);
vastai.provisioning.ssh_public_key = Some(public_key);
vastai.ssh_public_fingerprint = Some(fingerprint);
Ok(())
}
fn build_provisioner(
&self,
bootstrap_runtime: swactor::runtime::Runtime,
) -> Result<Box<dyn ProvisionPlugin>, String> {
match self.provider.as_str() {
"process" => {
let worker_bin = match &self.worker_bin {
Some(worker_bin) => worker_bin.clone(),
None => std::env::current_exe().map_err(|e| format!("current exe: {e}"))?,
};
if !worker_bin.is_file() {
return Err(format!(
"local process worker binary does not exist: {}",
worker_bin.display()
));
}
Ok(Box::new(LocalProcessPlugin::new(worker_bin)))
}
"docker" => Ok(Box::new(LocalDockerPlugin::new(
env_optional("MYELIN_DOCKER_CONTAINER_PREFIX")
.unwrap_or_else(|| "myelin-orchestrator".to_owned()),
))),
"vastai" => {
let vastai = self.vastai.as_ref().ok_or_else(|| {
"VastAI config was not resolved for provider vastai".to_owned()
})?;
if vastai.bootstrap_command.is_none() {
return Err(
"MYELIN_VASTAI_BOOTSTRAP_COMMAND is required when MYELIN_NODE_PROVIDER=vastai"
.to_owned(),
);
}
let api_key = vastai.api_key.clone().ok_or_else(|| {
"VAST_API_KEY, MYELIN_VASTAI_API_KEY, or VASTAI_API_KEY is required when MYELIN_NODE_PROVIDER=vastai"
.to_owned()
})?;
let ssh_identity = vastai
.ssh_identity
.clone()
.ok_or_else(|| "VastAI SSH identity was not prepared".to_owned())?;
Ok(Box::new(VastAiProvisioningPlugin::new(
ToolsVastAiLeaseClient::from_api_key(api_key)?,
SshCommandBootstrapLauncher::new(Some(ssh_identity), bootstrap_runtime),
vastai.provisioning.clone(),
)))
}
_ => Err("mock provider cannot build a runtime provisioner".to_owned()),
}
}
fn node_spec_env_keys(&self) -> Vec<String> {
let mut keys: Vec<String> = vec![
"MYELIN_RUN_ID",
"MYELIN_LOGICAL_NODE_ID",
"MYELIN_NODE_ATTEMPT_ID",
"MYELIN_NODE_PROVIDER",
"MYELIN_AGENT_ONLY",
"MYELIN_STAGE_INDEX",
"MYELIN_COORDINATOR_ENDPOINT",
"MYELIN_ORCHESTRATOR_ACTOR",
"MYELIN_IROH_RELAY_MODE",
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
MVP_IROH_ENDPOINT_ADDR_MASK_ENV,
]
.into_iter()
.map(str::to_owned)
.collect();
keys.extend(self.extra_worker_env().into_iter().map(|(k, _)| k));
keys
}
/// Provider-specific environment shared by filter and launch paths.
fn extra_worker_env(&self) -> Vec<(String, String)> {
let mut env = Vec::new();
if let Some(url) = &self.relay.url {
env.push((MYELIN_IROH_RELAY_URL_ENV.to_owned(), url.clone()));
}
if self.provider.as_str() == "docker" {
env.push(("MYELIN_DOCKER_GPUS".to_owned(), self.docker_gpus.clone()));
}
env
}
fn node_spec_for_stage(
&self,
coordinator: EndpointAddr,
orchestrator_actor: ActorAddress,
logical_node_id: u64,
stage_index: u32,
) -> Result<NodeProvisionSpec, String> {
let provider_name = self.provider.as_str();
let mut env = vec![
("MYELIN_AGENT_ONLY".to_owned(), "1".to_owned()),
("MYELIN_RUN_ID".to_owned(), self.run_id.to_string()),
(
"MYELIN_LOGICAL_NODE_ID".to_owned(),
logical_node_id.to_string(),
),
("MYELIN_STAGE_INDEX".to_owned(), stage_index.to_string()),
feat: mvp-chat multinode docker test with network masking Add endpoint-address masking and a relay-only advertisement path so the multinode Docker mvp-chat scenario can run with direct addresses stripped. - endpoint_advertisement: add EndpointAddrMask (Full/RelayOnly) parsed from --endpoint-addr-mask/MVP_IROH_ENDPOINT_ADDR_MASK, and advertised_endpoint that rebuilds an EndpointAddr from relay URLs only, rejecting relay-only without a relay URL - orchestrator_app: mask the coordinator endpoint before advertising it, thread the masked collector endpoint into datastream subscribe/runtime-ready acks, surface endpoint_addr_mask/has_relay/direct_addr_count in iroh_driver and node_spec events, forward the mask env to workers, and add a 60s RUNTIME_READY_TIMEOUT to the runtime-ready barriers - worker_node: advertise the masked self endpoint in the iroh_driver ready and coordinator_join events and propagate it through runtime_ready_local and PendingRuntimeReady - mvp-chat: add --relay-mode/--relay-url/--endpoint-addr-mask plus a [relay] toml section, require (with a Vast.ai fallback) a relay URL when relay-only, and forward all three to the orchestrator CLI - node_image: resolve the worker binary to a workspace-relative path for the Docker COPY via docker_build_context_path, rejecting paths outside the build context - xtask/specs: run MultinodeDocker with --relay-mode default --endpoint-addr-mask relay-only, add dump-log fact checks for relay-masked orchestrator/node/coordinator advertisement, and document the mask/relay flags in mvp_chat.md Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-23 10:58:03 +00:00
(
MVP_IROH_ENDPOINT_ADDR_MASK_ENV.to_owned(),
self.endpoint_addr_mask.as_str().to_owned(),
),
("MYELIN_NODE_PROVIDER".to_owned(), provider_name.to_owned()),
(
"MYELIN_COORDINATOR_ENDPOINT".to_owned(),
serde_json::to_string(&coordinator)
.map_err(|e| format!("serialize coordinator endpoint: {e}"))?,
),
(
"MYELIN_ORCHESTRATOR_ACTOR".to_owned(),
serde_json::to_string(&orchestrator_actor)
.map_err(|e| format!("serialize orchestrator actor: {e}"))?,
),
(
"MYELIN_IROH_RELAY_MODE".to_owned(),
relay_mode_env_value(&self.relay.mode).to_owned(),
),
];
env.extend(self.extra_worker_env());
let args = match provider_name {
"vastai" => self
.vastai
.as_ref()
.and_then(|vastai| vastai.bootstrap_command.clone())
.into_iter()
.collect(),
"process" if self.worker_bin.is_none() => {
vec![crate::ORCHESTRATOR_WORKER_MODE_ARG.to_owned()]
}
"process" | "docker" => Vec::new(),
_ => return Err("myelin-orchestrator does not support mock provider".to_owned()),
};
Ok(NodeProvisionSpec {
run_id: self.run_id,
node_id: logical_node_id,
attempt_id: 0,
stage_index: Some(stage_index),
image: self.image.clone(),
env,
args,
mounts: Vec::new(),
})
}
}
#[derive(Clone)]
struct RuntimeReady {
endpoint: EndpointAddr,
node_actor: ActorAddress,
telemetry_publisher: ActorAddress,
stage_index: u32,
readiness_id: u64,
swim_node_id: DistNodeId,
}
#[derive(Clone)]
struct RuntimeReadyAckTarget {
node_id: u64,
ready: RuntimeReady,
}
fn runtime_ready_barrier_met(stack: &DistributionRuntimeStack, ready: &RuntimeReady) -> bool {
stack.member_state(ready.swim_node_id) == Some(MemberState::Alive)
&& stack.route_owner(ready.node_actor) == Some(ready.swim_node_id)
}
fn enqueue_runtime_ready_ack(
stack: &DistributionRuntimeStack,
ready: &RuntimeReady,
run_id: u64,
node_id: u64,
) -> Result<(), String> {
stack
.runtime
.send_to(
ready.node_actor,
NodeAgentMsg::RuntimeReadyAck {
run_id,
node_id,
stage_index: ready.stage_index,
readiness_id: ready.readiness_id,
},
)
.map_err(|e| format!("send runtime ready ack: {e}"))
}
struct RuntimeReadyAckLoop<'a> {
driver: &'a mut IrohDriver,
stack: &'a DistributionRuntimeStack,
obs_rx: &'a mpsc::Receiver<PluginObservation>,
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
collector: &'a FrameCollector,
orchestrator_reports: &'a swactor::runtime::Inbox<OrchestratorReport>,
stop_rx: &'a mpsc::Receiver<()>,
dashboard: Option<&'a DashboardSupport>,
orch_telemetry: &'a mut OrchTelemetry,
orch_stdio_rx: Option<&'a mpsc::Receiver<OrchStdioLine>>,
run_id: u64,
orchestrator_node_id: u64,
provider: &'a ProviderKind,
orchestrator_actor: ActorAddress,
}
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
// synchronous process-control/orchestration sequencing; the engine drives all background work (ENGINE_SPEC.md §2)
#[allow(clippy::disallowed_methods)]
fn wait_for_runtime_ready_acks(
ctx: RuntimeReadyAckLoop<'_>,
targets: &[RuntimeReadyAckTarget],
cluster: &mut ProvisionedClusterGuard,
) -> Result<bool, String> {
let RuntimeReadyAckLoop {
driver,
stack,
obs_rx,
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
collector,
orchestrator_reports,
stop_rx,
dashboard,
orch_telemetry,
orch_stdio_rx,
run_id,
orchestrator_node_id,
provider,
..
} = ctx;
let bootstrap = |ds: &mut OrchTelemetry, phase: &str, status: &str, detail: Value| {
ds.emit_bootstrap(
dashboard,
run_id,
orchestrator_node_id,
phase,
status,
detail,
);
};
let mut pending = targets
.iter()
.cloned()
.map(|target| {
(
(
target.node_id,
target.ready.stage_index,
target.ready.readiness_id,
),
target,
)
})
.collect::<BTreeMap<_, _>>();
let mut attempts = BTreeMap::<(u64, u32, u64), u64>::new();
let mut last_send = None::<Instant>;
while !pending.is_empty() {
cluster
.poll(SystemTime::now())
.map_err(|error| format!("cluster reconcile while awaiting ready ack: {error}"))?;
if targets.iter().any(|target| {
cluster.current_attempt(target.node_id)
!= Some(::provisioning::NodeAttemptId(target.ready.readiness_id))
}) {
return Ok(false);
}
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
collector.pump(driver);
drain_orch_stdio_capture(
orch_stdio_rx,
orch_telemetry,
dashboard,
run_id,
orchestrator_node_id,
);
if stop_requested(stop_rx) {
return Err(
"shutdown requested while waiting for runtime-ready acknowledgements".to_owned(),
);
}
while let Ok(observation) = obs_rx.try_recv() {
emit_plugin_observation(orch_telemetry, dashboard, provider, &observation);
}
collector.drain(|stream, descriptor, channel, frame| {
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
if let Some(d) = dashboard {
d.publish_collected_frame(stream, descriptor, channel, frame);
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
}
orch_telemetry.archive_frame("node", stream, channel, frame);
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
});
while let Some(report) = orchestrator_reports.try_recv() {
let OrchestratorReport::NodeRuntimeReadyAck {
run_id: ack_run_id,
node_id,
stage_index,
readiness_id,
} = report
else {
continue;
};
if ack_run_id != run_id {
continue;
}
let key = (node_id, stage_index, readiness_id);
let Some(target) = pending.remove(&key) else {
continue;
};
bootstrap(
orch_telemetry,
"runtime_ready_ack",
"ready",
json!({
"node_id":node_id,
"node_actor":target.ready.node_actor,
"readiness_id":readiness_id,
"attempts":attempts.get(&key).copied().unwrap_or(0),
}),
);
}
if pending.is_empty() {
return Ok(true);
}
if last_send.is_none_or(|sent_at| sent_at.elapsed() >= RUNTIME_READY_ACK_RETRY_INTERVAL) {
for (key, target) in &pending {
enqueue_runtime_ready_ack(stack, &target.ready, run_id, target.node_id)?;
let attempt = attempts.entry(*key).or_default();
*attempt += 1;
let attempt = *attempt;
bootstrap(
orch_telemetry,
"runtime_ready_ack",
"sent",
json!({
"node_id":target.node_id,
"node_actor":target.ready.node_actor,
"readiness_id":target.ready.readiness_id,
"attempt":attempt,
}),
);
}
last_send = Some(Instant::now());
}
thread::sleep(PUMP_INTERVAL);
}
Ok(true)
}
fn reconciler_group(config: &Config, spec: &NodeProvisionSpec) -> RunNodeGroupSpec {
let group_id = NodeGroupId(format!("node-{}", spec.node_id));
let ssh_user = config
.vastai
.as_ref()
.map(|vastai| vastai.provisioning.ssh_user.clone())
.unwrap_or_else(|| "root".to_owned());
let disk_gb = config
.vastai
.as_ref()
.map(|vastai| vastai.provisioning.disk_gb)
.unwrap_or_default();
let orchestrator = spec
.env
.iter()
.find(|(name, _)| name == "MYELIN_ORCHESTRATOR_ACTOR")
.map(|(_, value)| value.clone())
.unwrap_or_default();
RunNodeGroupSpec {
run_id: ClusterRunId(config.run_id),
group_id,
role: RoleId(format!(
"stage-{}",
spec.stage_index.unwrap_or(config.stage_index)
)),
count: 1,
provider: ReconcilerProviderKind::new(config.provider.as_str()),
shape: DesiredNodeShape {
image: spec.image.clone(),
disk_gb,
gpu_name: None,
min_gpu_ram_mb: None,
min_down_mbps: None,
min_up_mbps: None,
min_reliability: None,
require_verified: false,
provider_labels: BTreeMap::from([(
"myelin.provider_config".to_owned(),
config.provider_telemetry_detail().to_string(),
)]),
},
boot: BootSpec {
ssh_user,
verify_commands: Vec::new(),
start_swactor_command: spec.args.join(" "),
stdout_sources: Vec::new(),
stderr_sources: Vec::new(),
env: spec.env.clone(),
args: spec.args.clone(),
mounts: spec.mounts.clone(),
},
swarm_join: SwarmJoinTemplate {
orch_swactor_addr: orchestrator,
join_token_ref: "myelin-runtime-ready".to_owned(),
},
refactor: actorization polish and stability Convert the remaining thread/mpsc-based provider monitor and stage-shard fetch loops into swactor actors, propagate worker-crash reasons through the actor message chain, and validate cached stage shards before reuse. - orchestration/provider_adapters/vastai: replace the thread+AtomicBool VastAiProviderMonitor with VastAiProviderMonitorActor driven by Poll/Stop messages on its own RuntimeHandle (schedule_provider_monitor_poll), preserving the status/terminal-failure observation logic - node/worker_node_runtime: convert the blocking stage-shard-fetch mpsc loop into StageShardFetchActor (Start/PollChild/ProcessLine/ReaderError/ReaderClosed via ExternalSender, on_stop kills and joins the child) reporting Progress/Done/Failed - staging/gguf_shard: add validate_stage_shard_cache (tensor count/alignment/name/dims/type) and mix STAGE_SHARD_CACHE_FORMAT_VERSION into the shard_cache_key; materialize_stage_shard_with_process now validates a cached shard, emitting StageShardCacheInvalid and refetching when stale - node/actor + orchestration/actor: NodeAgentMsg::WorkerCrashed now carries Option<reason>, surfaced as ObserveStageFault{reason}/StageFault{reason} up to the orchestrator; NodeAgentActor records last_worker_crash - orchestration/app: complete_bootstrap now runs after runtime-ready without dropping stop handles (ProvisionedClusterGuard) and folds worker-crash reasons into stage-fault errors; chat/runtime adds cached-model config selection - xtask: relax the data-path requirement to accept activation-step-executed OR downstream-activation-loaded Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-07-29 08:14:52 +00:00
}
}
fn build_reconciled_cluster(
provisioner: Box<dyn ProvisionPlugin>,
config: &Config,
stage_specs: &[NodeProvisionSpec],
runtime: swactor::runtime::Runtime,
engine: EngineHandle,
sink: PluginSink,
) -> Result<ProvisionedClusterGuard, String> {
let groups = stage_specs
.iter()
.map(|spec| reconciler_group(config, spec))
.collect::<Vec<_>>();
let desired = ClusterShape {
run_id: ClusterRunId(config.run_id),
generation: 1,
groups,
};
let expanded = desired.expand().map_err(|error| error.to_string())?;
let mut first = Some(provisioner);
let mut bindings = Vec::with_capacity(stage_specs.len());
for spec in stage_specs {
let logical_node_id = ReconcilerLogicalNodeId(format!("node-{}-0", spec.node_id));
if !expanded.contains_key(&logical_node_id) {
return Err(format!(
"reconciler shape did not expand node {}",
logical_node_id.0
));
}
let plugin = match first.take() {
Some(plugin) => plugin,
None => config.build_provisioner(runtime.clone())?,
};
bindings.push(ReconcilerNodeBinding {
logical_node_id,
provision: spec.clone(),
plugin,
});
}
ProvisionedClusterGuard::new(desired, bindings, RetryPolicy::default(), engine, sink)
}
// synchronous process-control/orchestration sequencing; the engine drives all background work (ENGINE_SPEC.md §2)
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
#[allow(clippy::disallowed_methods)]
fn wait_for_runtime_readies(
ctx: RuntimeReadyAckLoop<'_>,
expected_node_ids: &[u64],
cluster: &mut ProvisionedClusterGuard,
) -> Result<BTreeMap<u64, RuntimeReady>, String> {
let RuntimeReadyAckLoop {
driver,
stack,
obs_rx,
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
collector,
orchestrator_reports,
stop_rx,
dashboard,
orch_telemetry,
orch_stdio_rx,
run_id,
provider,
..
} = ctx;
let expected = expected_node_ids.iter().copied().collect::<BTreeSet<_>>();
let mut pending = BTreeMap::<u64, RuntimeReady>::new();
loop {
cluster
.poll(SystemTime::now())
.map_err(|error| format!("cluster reconcile while awaiting runtime: {error}"))?;
pending.retain(|node_id, ready| {
cluster.current_attempt(*node_id)
== Some(::provisioning::NodeAttemptId(ready.readiness_id))
});
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
collector.pump(driver);
emit_swim_transitions(
orch_telemetry,
dashboard,
run_id,
expected_node_ids.first().copied().unwrap_or(0),
stack,
);
emit_swim_probe_events(orch_telemetry, dashboard, stack, "runtime_ready_wait");
collector.drain(|stream, descriptor, channel, frame| {
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
if let Some(d) = dashboard {
d.publish_collected_frame(stream, descriptor, channel, frame);
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
}
orch_telemetry.archive_frame("node", stream, channel, frame);
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
});
drain_orch_stdio_capture(
orch_stdio_rx,
orch_telemetry,
dashboard,
run_id,
expected_node_ids.first().copied().unwrap_or(0),
);
if stop_requested(stop_rx) {
return Err("shutdown requested while waiting for pipeline nodes ready".to_owned());
}
while let Ok(observation) = obs_rx.try_recv() {
emit_plugin_observation(orch_telemetry, dashboard, provider, &observation);
match observation {
PluginObservation::TelemetryFrame { .. }
| PluginObservation::ProviderLine { .. }
| PluginObservation::StdoutLine { .. }
| PluginObservation::StderrLine { .. }
| PluginObservation::Failed { .. }
| PluginObservation::Exited { .. } => {}
}
}
while let Some(report) = orchestrator_reports.try_recv() {
if let OrchestratorReport::NodeRuntimeReady {
run_id: report_run_id,
node_id,
stage_index,
endpoint,
node_actor,
telemetry_publisher,
readiness_id,
} = report
&& report_run_id == run_id
&& expected.contains(&node_id)
&& cluster.current_attempt(node_id)
== Some(::provisioning::NodeAttemptId(readiness_id))
{
pending.insert(
node_id,
RuntimeReady {
endpoint: endpoint.clone(),
node_actor,
telemetry_publisher,
stage_index,
readiness_id,
swim_node_id: DistNodeId(*endpoint.id.as_bytes()),
},
);
}
}
if expected.iter().all(|node_id| {
pending
.get(node_id)
.is_some_and(|ready| runtime_ready_barrier_met(stack, ready))
}) {
return Ok(pending);
}
thread::sleep(PUMP_INTERVAL);
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
}
}
struct OrchStdioCapture;
struct OrchStdioLine {
stream: ProvisionLogStream,
line: String,
}
#[cfg(target_os = "linux")]
impl OrchStdioCapture {
fn install() -> Result<Option<mpsc::Receiver<OrchStdioLine>>, String> {
let stdout_read = Self::redirect_stream(libc::STDOUT_FILENO, "stdout")?;
let stderr_read = Self::redirect_stream(libc::STDERR_FILENO, "stderr")?;
let (tx, rx) = mpsc::channel();
Self::spawn_reader(stdout_read, ProvisionLogStream::Stdout, tx.clone());
Self::spawn_reader(stderr_read, ProvisionLogStream::Stderr, tx);
Ok(Some(rx))
}
fn redirect_stream(fd: libc::c_int, name: &str) -> Result<File, String> {
let mut pipe_fds = [0; 2];
let pipe_result = unsafe { libc::pipe(pipe_fds.as_mut_ptr()) };
if pipe_result != 0 {
return Err(format!(
"create orchestrator {name} capture pipe: {}",
std::io::Error::last_os_error()
));
}
let dup_result = unsafe { libc::dup2(pipe_fds[1], fd) };
let close_write_result = unsafe { libc::close(pipe_fds[1]) };
if dup_result < 0 {
let error = std::io::Error::last_os_error();
let _ = unsafe { libc::close(pipe_fds[0]) };
return Err(format!("redirect orchestrator {name}: {error}"));
}
if close_write_result != 0 {
let error = std::io::Error::last_os_error();
let _ = unsafe { libc::close(pipe_fds[0]) };
return Err(format!("close orchestrator {name} duplicate fd: {error}"));
}
Ok(unsafe { File::from_raw_fd(pipe_fds[0]) })
}
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
// provider log capture is out of scope (ENGINE_SPEC.md §2)
#[allow(clippy::disallowed_methods)]
fn spawn_reader(file: File, stream: ProvisionLogStream, tx: mpsc::Sender<OrchStdioLine>) {
thread::spawn(move || {
let reader = BufReader::new(file);
for line in reader.lines() {
let Ok(line) = line else {
break;
};
if tx.send(OrchStdioLine { stream, line }).is_err() {
break;
}
}
});
}
}
#[cfg(not(target_os = "linux"))]
impl OrchStdioCapture {
fn install() -> Result<Option<mpsc::Receiver<OrchStdioLine>>, String> {
Ok(None)
}
}
fn drain_orch_stdio_capture(
rx: Option<&mpsc::Receiver<OrchStdioLine>>,
telemetry: &mut OrchTelemetry,
dashboard: Option<&DashboardSupport>,
run_id: u64,
node_id: u64,
) {
let Some(rx) = rx else {
return;
};
while let Ok(line) = rx.try_recv() {
telemetry.emit_log(
dashboard,
ProvisionLogLine {
run_id,
node_id,
stream: line.stream,
line: line.line,
},
);
}
}
struct ChannelObservationSink {
tx: Mutex<mpsc::Sender<PluginObservation>>,
}
impl PluginObservationSink for ChannelObservationSink {
fn observe(&self, observation: PluginObservation) {
let _ = self.tx.lock().send(observation);
}
}
fn stop_requested(stop_rx: &mpsc::Receiver<()>) -> bool {
stop_rx.try_recv().is_ok()
}
// top-level OS signal handling is process control, out of scope (ENGINE_SPEC.md §2)
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
#[allow(clippy::disallowed_methods)]
fn spawn_stop_listener() -> mpsc::Receiver<()> {
let (tx, rx) = mpsc::channel();
#[cfg(target_os = "linux")]
{
thread::spawn(move || {
let Ok(mut signals) = signal_hook::iterator::Signals::new([
signal_hook::consts::signal::SIGINT,
signal_hook::consts::signal::SIGTERM,
]) else {
return;
};
if signals.forever().next().is_some() {
let _ = tx.send(());
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
}
});
}
#[cfg(not(target_os = "linux"))]
{
drop(tx);
}
rx
}
struct ServeCluster<'a> {
driver: &'a mut IrohDriver,
stack: &'a DistributionRuntimeStack,
obs_rx: &'a mpsc::Receiver<PluginObservation>,
collector: &'a FrameCollector,
orchestrator_reports: &'a swactor::runtime::Inbox<OrchestratorReport>,
stop_rx: &'a mpsc::Receiver<()>,
dashboard: Option<&'a DashboardSupport>,
orch_telemetry: &'a mut OrchTelemetry,
orch_stdio_rx: Option<&'a mpsc::Receiver<OrchStdioLine>>,
run_id: u64,
orchestrator_node_id: u64,
provider: &'a ProviderKind,
orchestrator_actor: ActorAddress,
coordinator_endpoint: EndpointAddr,
engine: EngineHandle,
runtime: swactor::runtime::Runtime,
config: Config,
provisioner: Box<dyn ProvisionPlugin>,
live_clusters: BTreeMap<u64, ProvisionedClusterGuard>,
sink: PluginSink,
state_dir: daemon::StateDir,
snapshot: daemon::ClusterSnapshot,
control_rx: &'a mpsc::Receiver<ControlCommand>,
destroy_on_exit: bool,
}
fn daemon_label(config: &Config) -> String {
match config.provider.as_str() {
"docker" => env_optional("MYELIN_DOCKER_CONTAINER_PREFIX")
.unwrap_or_else(|| "myelin-orchestrator".to_owned()),
"vastai" => config
.vastai
.as_ref()
.map(|vastai| vastai.provisioning.label_prefix.clone())
.unwrap_or_else(|| "myelin".to_owned()),
provider => format!("myelin-{provider}"),
}
}
fn parse_control_node_id(value: &str) -> Result<u64, String> {
value
.parse::<u64>()
.ok()
.or_else(|| {
value
.split(|ch: char| !ch.is_ascii_digit())
.filter(|part| !part.is_empty())
.next_back()
.and_then(|part| part.parse::<u64>().ok())
})
.ok_or_else(|| format!("control node id {value:?} contains no numeric logical id"))
}
impl ServeCluster<'_> {
fn ack_context(&mut self) -> RuntimeReadyAckLoop<'_> {
RuntimeReadyAckLoop {
driver: self.driver,
stack: self.stack,
obs_rx: self.obs_rx,
collector: self.collector,
orchestrator_reports: self.orchestrator_reports,
stop_rx: self.stop_rx,
dashboard: self.dashboard,
orch_telemetry: self.orch_telemetry,
orch_stdio_rx: self.orch_stdio_rx,
run_id: self.run_id,
orchestrator_node_id: self.orchestrator_node_id,
provider: self.provider,
orchestrator_actor: self.orchestrator_actor,
}
}
fn save_snapshot(&self) -> Result<(), String> {
self.state_dir.save_snapshot(&self.snapshot)
}
fn emit_command_event(
&mut self,
node_id: u64,
kind: ProvisionEventKind,
message: impl Into<String>,
) {
self.orch_telemetry.emit_event(
self.dashboard,
ProvisionEvent {
run_id: self.run_id,
node_id,
kind,
provider: Some(self.provider.as_str().to_owned()),
message: Some(message.into()),
},
);
}
fn adopt_snapshot(&mut self) -> Result<(), String> {
let mut accounted = BTreeSet::new();
let ids = self
.snapshot
.nodes
.iter()
.filter_map(|node| node.spec.as_ref().map(|_| node.logical_node_id))
.collect::<Vec<_>>();
for node_id in ids {
let spec = self
.snapshot
.node(node_id)
.and_then(|node| node.spec.clone())
.expect("filtered snapshot node has spec");
match self.provisioner.adopt_by_spec(&spec, self.sink.clone()) {
Ok(Some(adopted)) => {
accounted.insert(adopted.provider_ref.clone());
if let Some(node) = self.snapshot.node_mut(node_id) {
node.provider_ref = Some(adopted.provider_ref);
node.status = daemon::NodeStatus::Running;
node.last_seen_unix_ms = daemon::unix_ms_now();
}
if let Some(runtime) = self
.snapshot
.node(node_id)
.and_then(|node| node.runtime.as_ref())
{
let endpoint = serde_json::from_str::<EndpointAddr>(&runtime.endpoint)
.map_err(|error| {
format!(
"snapshot node {node_id} telemetry endpoint is invalid: {error}"
)
})?;
self.collector.subscribe_node(
&self.engine,
self.driver.endpoint(),
endpoint,
self.run_id,
node_id,
);
}
self.emit_command_event(
node_id,
ProvisionEventKind::NodeLive,
"adopted provider resource after daemon restart",
);
}
Ok(None) => {
if let Some(node) = self.snapshot.node_mut(node_id) {
node.status = daemon::NodeStatus::Dead;
}
self.emit_command_event(
node_id,
ProvisionEventKind::NodeStopped,
"snapshot node is absent from provider",
);
}
Err(error) => {
if let Some(node) = self.snapshot.node_mut(node_id) {
node.status = daemon::NodeStatus::Dead;
}
self.emit_command_event(
node_id,
ProvisionEventKind::ProvisionFailed,
format!("provider adoption failed: {error}"),
);
}
}
}
let provider_only = self
.provisioner
.list_managed_refs()?
.into_iter()
.filter(|provider_ref| !accounted.contains(provider_ref))
.collect::<Vec<_>>();
for provider_ref in self.snapshot.sync_orphans(provider_only) {
self.emit_command_event(
0,
ProvisionEventKind::NodeLive,
format!("unmanaged provider resource discovered: {provider_ref}"),
);
}
self.save_snapshot()
}
fn add_node(&mut self) -> Result<u64, String> {
let logical_node_id = self.snapshot.allocate_node_id();
// Persist allocation before any provider side effect so a crash never
// reuses the id or ambiguously attributes a lease.
self.save_snapshot()?;
let spec = self.config.node_spec_for_stage(
self.coordinator_endpoint.clone(),
self.orchestrator_actor,
logical_node_id,
0,
)?;
self.emit_command_event(
logical_node_id,
ProvisionEventKind::ProvisionStart,
"manual add-node command accepted",
);
let mut cluster = build_reconciled_cluster(
self.config.build_provisioner(self.runtime.clone())?,
&self.config,
std::slice::from_ref(&spec),
self.runtime.clone(),
self.engine.clone(),
self.sink.clone(),
)?;
let readies =
wait_for_runtime_readies(self.ack_context(), &[logical_node_id], &mut cluster)?;
let ready = readies
.get(&logical_node_id)
.cloned()
.ok_or_else(|| format!("node {logical_node_id} did not announce runtime ready"))?;
self.collector.subscribe_node(
&self.engine,
self.driver.endpoint(),
ready.endpoint.clone(),
self.run_id,
logical_node_id,
);
let acknowledged = wait_for_runtime_ready_acks(
self.ack_context(),
&[RuntimeReadyAckTarget {
node_id: logical_node_id,
ready: ready.clone(),
}],
&mut cluster,
)?;
if !acknowledged {
return Err(format!(
"node {logical_node_id} changed attempt before runtime-ready acknowledgement"
));
}
let attempt_id = cluster
.current_attempt(logical_node_id)
.ok_or_else(|| format!("node {logical_node_id} has no live reconciler attempt"))?
.0;
let mut persisted_spec = spec;
persisted_spec.attempt_id = attempt_id;
persisted_spec
.env
.retain(|(name, _)| name != "MYELIN_NODE_ATTEMPT_ID");
persisted_spec
.env
.push(("MYELIN_NODE_ATTEMPT_ID".to_owned(), attempt_id.to_string()));
let provider_ref = self.provisioner.provider_ref_for(&persisted_spec);
if self.provider.as_str() == "process" {
self.live_clusters.insert(logical_node_id, cluster);
} else {
cluster.detach();
}
self.snapshot.upsert_node(daemon::SnapshotNode {
logical_node_id,
spec: Some(persisted_spec),
provider_ref: Some(provider_ref),
status: daemon::NodeStatus::Running,
runtime: Some(daemon::RuntimeFacts {
endpoint: serde_json::to_string(&ready.endpoint)
.map_err(|error| format!("serialize node endpoint: {error}"))?,
node_actor: ready.node_actor,
telemetry_publisher: ready.telemetry_publisher,
swim_node_id: ready.swim_node_id,
stage_index: ready.stage_index,
readiness_id: ready.readiness_id,
}),
last_seen_unix_ms: daemon::unix_ms_now(),
});
self.save_snapshot()?;
self.emit_command_event(
logical_node_id,
ProvisionEventKind::NodeLive,
"manual add-node command completed",
);
Ok(logical_node_id)
}
fn kill_node(&mut self, logical_node_id: u64) -> Result<bool, String> {
let Some(node) = self.snapshot.node(logical_node_id) else {
return Ok(false);
};
if node.status == daemon::NodeStatus::Dead {
return Ok(true);
}
let Some(spec) = node.spec.clone() else {
return Ok(false);
};
if let Some(mut cluster) = self.live_clusters.remove(&logical_node_id) {
cluster.stop()?;
} else {
let _ = self.provisioner.stop_by_spec(&spec, self.sink.clone())?;
}
if let Some(node) = self.snapshot.node_mut(logical_node_id) {
node.status = daemon::NodeStatus::Dead;
node.last_seen_unix_ms = daemon::unix_ms_now();
}
self.save_snapshot()?;
self.emit_command_event(
logical_node_id,
ProvisionEventKind::NodeStopped,
"manual kill command completed",
);
Ok(true)
}
fn destroy_node(&mut self, logical_node_id: u64) -> Result<bool, String> {
let Some(node) = self.snapshot.node(logical_node_id).cloned() else {
return Ok(false);
};
if let Some(mut cluster) = self.live_clusters.remove(&logical_node_id) {
cluster.stop()?;
} else if let Some(spec) = node.spec {
let _ = self.provisioner.stop_by_spec(&spec, self.sink.clone())?;
}
self.snapshot.remove_node(logical_node_id);
self.save_snapshot()?;
self.emit_command_event(
logical_node_id,
ProvisionEventKind::NodeStopped,
"manual destroy command completed",
);
Ok(true)
}
fn handle_dashboard_command(&mut self, command: ControlCommand) {
let command_id = command.command_id().to_owned();
match self.snapshot.accept_command(&command_id) {
Ok(false) => {
self.emit_command_event(
0,
ProvisionEventKind::NodeLive,
format!("duplicate dashboard command ignored: {command_id}"),
);
return;
}
Err(error) => {
self.emit_command_event(0, ProvisionEventKind::ProvisionFailed, error);
return;
}
Ok(true) => {}
}
if let Err(error) = self.save_snapshot() {
self.emit_command_event(
0,
ProvisionEventKind::ProvisionFailed,
format!("persist dashboard command {command_id}: {error}"),
);
return;
}
let result = match command {
ControlCommand::Provision { count, .. } => {
(0..count).try_for_each(|_| self.add_node().map(|_| ()))
}
ControlCommand::Kill { node, .. } => {
parse_control_node_id(&node).and_then(|node_id| self.kill_node(node_id).map(|_| ()))
}
ControlCommand::Remove { count, .. } => {
let mut ids = self
.snapshot
.nodes
.iter()
.filter(|node| node.spec.is_some())
.map(|node| node.logical_node_id)
.collect::<Vec<_>>();
ids.sort_unstable_by(|left, right| right.cmp(left));
ids.into_iter()
.take(count as usize)
.try_for_each(|node_id| self.destroy_node(node_id).map(|_| ()))
}
ControlCommand::EstablishEdge { node, .. } => {
Err(format!("edge establishment for node {node} is deferred"))
}
};
if let Err(error) = result {
self.emit_command_event(
0,
ProvisionEventKind::ProvisionFailed,
format!("dashboard control {command_id} failed: {error}"),
);
}
}
fn observe_report(&mut self, report: OrchestratorReport) {
if let OrchestratorReport::NodeRuntimeReady {
run_id,
node_id,
stage_index,
endpoint,
node_actor,
telemetry_publisher,
readiness_id,
} = report
&& run_id == self.run_id
{
if let Some(node) = self.snapshot.node_mut(node_id) {
node.status = daemon::NodeStatus::Running;
node.runtime = Some(daemon::RuntimeFacts {
endpoint: serde_json::to_string(&endpoint).unwrap_or_default(),
node_actor,
telemetry_publisher,
swim_node_id: DistNodeId(*endpoint.id.as_bytes()),
stage_index,
readiness_id,
});
node.last_seen_unix_ms = daemon::unix_ms_now();
}
}
}
fn drain_observations(&mut self) -> Result<(), String> {
let mut dirty = false;
while let Ok(observation) = self.obs_rx.try_recv() {
emit_plugin_observation(
self.orch_telemetry,
self.dashboard,
self.provider,
&observation,
);
match observation {
PluginObservation::Exited { node_id, .. }
| PluginObservation::Failed { node_id, .. } => {
if let Some(node) = self.snapshot.node_mut(node_id) {
node.status = daemon::NodeStatus::Dead;
node.last_seen_unix_ms = daemon::unix_ms_now();
dirty = true;
}
}
_ => {}
}
}
if dirty {
self.save_snapshot()?;
}
Ok(())
}
fn teardown_if_requested(&mut self) -> Result<(), String> {
// Local process children cannot be adopted, so detaching them on an
// interactive shutdown only creates invisible orphan processes.
if self.destroy_on_exit || self.provider.as_str() == "process" {
for (_, mut cluster) in std::mem::take(&mut self.live_clusters) {
cluster.stop()?;
}
let specs = self
.snapshot
.nodes
.iter()
.filter_map(|node| node.spec.clone())
.collect::<Vec<_>>();
for spec in specs {
let _ = self.provisioner.stop_by_spec(&spec, self.sink.clone())?;
}
self.snapshot.nodes.clear();
self.save_snapshot()?;
} else {
for (_, mut cluster) in std::mem::take(&mut self.live_clusters) {
cluster.detach();
}
self.provisioner.detach_all();
}
Ok(())
}
}
impl Drop for ServeCluster<'_> {
fn drop(&mut self) {
if self.provider.as_str() == "process" {
for cluster in self.live_clusters.values_mut() {
let _ = cluster.stop();
}
} else {
for cluster in self.live_clusters.values_mut() {
cluster.detach();
}
}
self.provisioner.detach_all();
}
}
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
#[allow(clippy::disallowed_methods)]
fn serve_cluster(mut ctx: ServeCluster<'_>) -> Result<(), String> {
ctx.adopt_snapshot()?;
loop {
ctx.collector.pump(ctx.driver);
ctx.collector.drain(|stream, descriptor, channel, frame| {
if let Some(dashboard) = ctx.dashboard {
dashboard.publish_collected_frame(stream, descriptor, channel, frame);
}
ctx.orch_telemetry
.archive_frame("node", stream, channel, frame);
});
ctx.drain_observations()?;
while let Some(report) = ctx.orchestrator_reports.try_recv() {
ctx.observe_report(report);
}
emit_swim_transitions(
ctx.orch_telemetry,
ctx.dashboard,
ctx.run_id,
ctx.orchestrator_node_id,
ctx.stack,
);
emit_swim_probe_events(
ctx.orch_telemetry,
ctx.dashboard,
ctx.stack,
"daemon_monitor",
);
drain_orch_stdio_capture(
ctx.orch_stdio_rx,
ctx.orch_telemetry,
ctx.dashboard,
ctx.run_id,
ctx.orchestrator_node_id,
);
while let Ok(command) = ctx.control_rx.try_recv() {
ctx.handle_dashboard_command(command);
}
if stop_requested(ctx.stop_rx) {
break;
}
thread::sleep(PUMP_INTERVAL);
}
ctx.save_snapshot()?;
ctx.teardown_if_requested()
}
fn drain_observations_with_exit(
obs_rx: &mpsc::Receiver<PluginObservation>,
dashboard: Option<&DashboardSupport>,
orch_telemetry: &mut OrchTelemetry,
provider: &ProviderKind,
exit_message: impl Fn(u64, Option<i32>) -> String,
) -> Result<(), String> {
while let Ok(observation) = obs_rx.try_recv() {
emit_plugin_observation(orch_telemetry, dashboard, provider, &observation);
match observation {
PluginObservation::Failed { reason, .. } => return Err(reason),
PluginObservation::Exited {
node_id, status, ..
} => return Err(exit_message(node_id, status)),
PluginObservation::TelemetryFrame { .. }
| PluginObservation::ProviderLine { .. }
| PluginObservation::StdoutLine { .. }
| PluginObservation::StderrLine { .. } => {}
}
}
Ok(())
}
fn emit_plugin_observation(
orch_telemetry: &mut OrchTelemetry,
dashboard: Option<&DashboardSupport>,
provider: &ProviderKind,
observation: &PluginObservation,
) {
match observation {
PluginObservation::StdoutLine {
run_id,
node_id,
line,
} => orch_telemetry.emit_log(
dashboard,
ProvisionLogLine {
run_id: *run_id,
node_id: *node_id,
stream: ProvisionLogStream::Stdout,
line: line.clone(),
},
),
PluginObservation::StderrLine {
run_id,
node_id,
line,
} => orch_telemetry.emit_log(
dashboard,
ProvisionLogLine {
run_id: *run_id,
node_id: *node_id,
stream: ProvisionLogStream::Stderr,
line: line.clone(),
},
),
PluginObservation::ProviderLine {
run_id,
node_id,
line,
} => orch_telemetry.emit_log(
dashboard,
ProvisionLogLine {
run_id: *run_id,
node_id: *node_id,
stream: ProvisionLogStream::Provider,
line: line.clone(),
},
),
PluginObservation::TelemetryFrame {
channel, payload, ..
} => orch_telemetry.emit_bytes_from(
dashboard,
channel,
payload.as_bytes().to_vec(),
"node_bootstrap_stdio",
),
PluginObservation::Exited {
run_id,
node_id,
status,
} => orch_telemetry.emit_event(
dashboard,
ProvisionEvent {
run_id: *run_id,
node_id: *node_id,
kind: ProvisionEventKind::NodeStopped,
provider: Some(provider.as_str().to_owned()),
message: Some(format!("node process exited with {status:?}")),
},
),
PluginObservation::Failed {
run_id,
node_id,
reason,
} => orch_telemetry.emit_event(
dashboard,
ProvisionEvent {
run_id: *run_id,
node_id: *node_id,
kind: ProvisionEventKind::ProvisionFailed,
provider: Some(provider.as_str().to_owned()),
message: Some(reason.clone()),
},
),
}
}
fn emit_swim_transitions(
orch_telemetry: &mut OrchTelemetry,
dashboard: Option<&DashboardSupport>,
run_id: u64,
node_id: u64,
stack: &DistributionRuntimeStack,
) -> Vec<ObservedTransition> {
let transitions = stack.drain_swim_transitions();
for transition in &transitions {
let peer = format!("{:?}", transition.peer);
let from = transition.from.map(|state| format!("{:?}", state));
let to = format!("{:?}", transition.to);
let member_state = stack
.member_state(transition.peer)
.map(|state| format!("{:?}", state));
let last_ack_age_ms = transition.last_ack_age.map(duration_ms_u64);
let consecutive_timeouts = transition.consecutive_timeouts;
let recent_probe_targets = stack.swim_recent_probe_targets();
orch_telemetry.emit_bootstrap_to_channel(
dashboard,
MYELIN_SWIM_MEMBERSHIP,
run_id,
node_id,
"membership_transition",
"observed",
json!({
"peer":peer.clone(),
"from":from.clone(),
"to":to.clone(),
"reason":transition.reason,
"last_ack_age_ms":last_ack_age_ms,
"consecutive_timeouts":consecutive_timeouts,
"recent_probe_targets":recent_probe_targets.clone(),
"member_state":member_state.clone(),
}),
);
orch_telemetry.emit_record(dashboard, &stack.membership_transition(transition));
}
transitions
}
fn emit_swim_probe_events(
orch_telemetry: &mut OrchTelemetry,
dashboard: Option<&DashboardSupport>,
stack: &DistributionRuntimeStack,
local_phase: &str,
) {
for event in stack.drain_swim_probe_events() {
let record = stack.swim_probe_event_record(event, local_phase);
orch_telemetry.emit_record(dashboard, &record);
}
}
enforce datastream telemetry-only invariant: ban frame types from control code The datastream is metrics/logging only; control decisions must never branch on a frame. This was a recurring cultural problem with no structural enforcement. This change makes it a compile-time and CI-enforced fact. datastream crate (lib.rs): - Stop re-exporting Frame, DatastreamEvent, FrameDelivery at crate root. is now a compile error (E0425). These types live only in datastream::frame::* and are documented as the observer surface. - Safe identity types (ChannelId, StreamId, Position, Record, etc.) remain re-exported at root for producer-side callers. orchestration/app.rs: - Extracted all frame-touching code (CollectedDatastreamFrame, drain_datastream_connections, update_load_progress_from_frame, drain_frames, archive_collected_frame, pump, OrchDatastream, DashboardSupport) into two new observability modules: frame_collector.rs and orch_datastream.rs. - The orchestrator now interacts through a FrameCollector whose drain/drain_with_progress methods take closures; it never names Frame, DatastreamEvent, or CollectedDatastreamFrame. - StageLoadProgress (the one control-relevant signal previously scraped from frame payloads) is extracted inside FrameCollector and handed to the control loop as plain data. xtask: - New check-telemetry-isolation command scans control-plane modules (orchestration/, distribution/, data-plane/, provisioning/) for forbidden frame-type references and fails the build if any are found. Verified: workspace builds (myelin + dashboard feature), datastream 29 tests pass, myelin 64 lib tests pass, check-telemetry-isolation passes clean. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
2026-08-12 12:14:57 +00:00
pub(crate) fn env_optional(name: &str) -> Option<String> {
std::env::var(name)
.ok()
.map(|value| value.trim().to_owned())
.filter(|value| !value.is_empty())
}
fn local_tinygrad_worker_env(provider: &str) -> Option<(String, String)> {
env_optional("MYELIN_TINYGRAD_WORKER")
.map(|value| ("MYELIN_TINYGRAD_WORKER".to_owned(), value))
.or_else(|| {
(provider == "process")
.then(default_local_tinygrad_worker_path)
.flatten()
.map(|path| {
(
"MYELIN_TINYGRAD_WORKER".to_owned(),
path.to_string_lossy().to_string(),
)
})
})
}
fn default_local_tinygrad_worker_path() -> Option<PathBuf> {
// The tinygrad worker script ships in the node-image build context at
// `apps/myelin/node-image/tinygrad_worker.py` (see `chat/node_image.rs` and
// the node-image Dockerfile). The process provider runs it directly via
// `python3`, so resolve that path from the workspace cwd or this crate's
// manifest dir. (Previously looked in `apps/myelin-node/`, a path left stale
// by the `mvp-system` -> `myelin` app refactor and never present on disk.)
let cwd_candidate = std::env::current_dir().ok().map(|cwd| {
cwd.join("apps")
.join("myelin")
.join("node-image")
.join("tinygrad_worker.py")
});
if let Some(candidate) = cwd_candidate.filter(|path| path.is_file()) {
return Some(candidate.canonicalize().unwrap_or(candidate));
}
let manifest_candidate = PathBuf::from(env!("CARGO_MANIFEST_DIR"))
.join("node-image")
.join("tinygrad_worker.py");
manifest_candidate.is_file().then(|| {
manifest_candidate
.canonicalize()
.unwrap_or(manifest_candidate)
})
}
pub(crate) fn resolve_vastai_ssh_identity(explicit: Option<PathBuf>) -> Result<PathBuf, String> {
match explicit {
Some(path) => Ok(path),
None => {
let home = std::env::var_os("HOME")
.filter(|value| !value.is_empty())
.ok_or_else(|| {
"MYELIN_VASTAI_SSH_IDENTITY is required because HOME is unset".to_owned()
})?;
Ok(PathBuf::from(home).join(".ssh").join("id_ed25519"))
}
}
}
pub(crate) fn expand_home_path(value: &str) -> Result<PathBuf, String> {
let trimmed = value.trim();
if let Some(rest) = trimmed.strip_prefix("~/") {
let home = std::env::var_os("HOME")
.filter(|value| !value.is_empty())
.ok_or_else(|| "MYELIN_VASTAI_SSH_IDENTITY uses ~/ but HOME is unset".to_owned())?;
return Ok(PathBuf::from(home).join(rest));
}
Ok(PathBuf::from(trimmed))
}
pub(crate) fn derive_ssh_public_key(identity: &Path) -> Result<String, String> {
let output = Command::new("ssh-keygen")
.arg("-y")
.arg("-f")
.arg(identity)
.output()
.map_err(|e| {
format!(
"derive VastAI SSH public key from {}: {e}",
identity.display()
)
})?;
let public_key = String::from_utf8_lossy(&output.stdout)
.trim_end_matches(['\r', '\n'])
.to_owned();
if !output.status.success() || public_key.trim().is_empty() {
return Err(format!(
"derive VastAI SSH public key from {}: {}",
identity.display(),
command_output_failure_detail(&output, None)
));
}
Ok(public_key)
}
pub(crate) fn ssh_public_key_fingerprint(public_key: &str) -> String {
const UNAVAILABLE: &str = "unavailable";
let path =
std::env::temp_dir().join(format!("myelin-vastai-ssh-key-{}.pub", std::process::id()));
if std::fs::write(&path, format!("{public_key}\n")).is_err() {
return UNAVAILABLE.to_owned();
}
let output = Command::new("ssh-keygen")
.arg("-l")
.arg("-f")
.arg(&path)
.output()
.ok();
let _ = std::fs::remove_file(&path);
let Some(output) = output.filter(|output| output.status.success()) else {
return UNAVAILABLE.to_owned();
};
let stdout = String::from_utf8_lossy(&output.stdout);
let mut fields = stdout.split_whitespace();
fields
.next()
.zip(fields.next())
.map(|(bits, fingerprint)| format!("{bits} {fingerprint}"))
.unwrap_or_else(|| UNAVAILABLE.to_owned())
}
fn vastai_account_has_ssh_key(api_key: &str, public_key: &str) -> Result<bool, String> {
let output = Command::new("vastai")
.args(["show", "ssh-keys", "--raw", "--api-key", api_key])
.output()
.map_err(vastai_cli_error)?;
if !output.status.success() {
return Err(format!(
"vastai show ssh-keys failed: {}",
command_output_failure_detail(&output, Some(api_key))
));
}
let stdout = String::from_utf8_lossy(&output.stdout);
Ok(account_ssh_keys_output_contains_public_key(
&stdout, public_key,
))
}
pub(crate) fn ensure_vastai_account_ssh_key(api_key: &str, public_key: &str) -> Result<(), String> {
if vastai_account_has_ssh_key(api_key, public_key)? {
return Ok(());
}
let output = Command::new("vastai")
.args(["create", "ssh-key"])
.arg(public_key)
.args(["-y", "--api-key", api_key])
.output()
.map_err(vastai_cli_error)?;
if !output.status.success() {
return Err(format!(
"vastai create ssh-key failed: {}",
command_output_failure_detail(&output, Some(api_key))
));
}
if vastai_account_has_ssh_key(api_key, public_key)? {
Ok(())
} else {
Err("VastAI SSH key registration did not make the selected key visible in vastai show ssh-keys".to_owned())
}
}
fn account_ssh_keys_output_contains_public_key(output: &str, public_key: &str) -> bool {
let public_key = public_key.trim();
!public_key.is_empty()
&& (output.contains(public_key)
|| public_key
.split_whitespace()
.nth(1)
.is_some_and(|body| !body.is_empty() && output.contains(body)))
}
fn vastai_cli_error(error: std::io::Error) -> String {
if error.kind() == std::io::ErrorKind::NotFound {
"vastai CLI is required to verify/register MYELIN_VASTAI_SSH_IDENTITY; install with pip install vastai".to_owned()
} else {
format!("run vastai CLI: {error}")
}
}
fn command_output_failure_detail(output: &std::process::Output, secret: Option<&str>) -> String {
let stderr = String::from_utf8_lossy(&output.stderr);
let mut detail = match stderr.trim() {
"" => output.status.to_string(),
detail => detail.to_owned(),
};
if let Some(secret) = secret.filter(|secret| !secret.is_empty()) {
detail = detail.replace(secret, "<redacted>");
}
detail
}
fn next_arg(args: &mut impl Iterator<Item = String>, name: &str) -> Result<String, String> {
args.next()
.ok_or_else(|| format!("missing value after {name}"))
}
fn parse_next<T>(args: &mut impl Iterator<Item = String>, name: &str) -> Result<T, String>
where
T: std::str::FromStr,
T::Err: std::fmt::Display,
{
let value = next_arg(args, name)?;
value
.parse::<T>()
.map_err(|e| format!("invalid {name}={value:?}: {e}"))
}