Ship v0.1.1–v0.1.5: first-live-run fixes and dashboard viewer
- v0.1.1: config persistence — FileHelper paths made absolute (/media/startos/volumes/main/...); relative paths resolved into the JS runtime's ephemeral cwd so action saves never reached /data - v0.1.2: preJobStopContainers (Configure Grading) — docker-stop resident vLLM containers on the head Spark at job start, no auto-restart - v0.1.3: preflight auth (LiteLLM master_key gates /models), poll-until-loaded, crash fast-fail (restarting counts as dead) - v0.1.4: HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE in airgapped serving (--internal network has no DNS); grader _post timeout 600→1800s for ~3.6 tok/s GB10 generation - v0.1.5: dashboard viewer survives the periodic background refresh; download buttons for deck reports, deck JSON, and SCORECARD.md - .gitignore: .startos/ build workspace, start-technologies/ Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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co-authored by
Claude Fable 5
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1d1074b625
commit
91212322c1
@@ -172,6 +172,10 @@ export const configShape = z.object({
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autoRunOnDrop: z.boolean().default(false),
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// Name of the per-job Docker network created on the head Spark.
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networkName: z.string().default('boardroom-net'),
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// Space/comma-separated docker container names stopped on the head Spark at
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// the start of every job to free GPU memory (e.g. an always-on vLLM another
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// service runs). NOT restarted afterwards — their owner reloads them.
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preJobStopContainers: z.string().default(''),
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// --- Portfolio companies ---
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// The authoritative source of pinned KPI targets and KPI-name aliases. Decks
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@@ -212,4 +216,11 @@ export const configShape = z.object({
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export type Config = z.infer<typeof configShape>
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export const configFile = FileHelper.json('./config.json', configShape)
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// Absolute path into the `main` volume (mounted at /media/startos/volumes/main
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// in the JS runtime, /data in the orchestrator container). A relative path here
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// resolves against the JS runtime's EPHEMERAL working directory and silently
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// loses the config on restart.
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export const configFile = FileHelper.json(
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'/media/startos/volumes/main/config.json',
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configShape,
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)
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