Files
spark-control/package/startos/actions/configureSparks.ts
T
Keysat 9ef9226e0a docs: split CLAUDE.md into path-scoped .claude/rules; fix dev/test commands
- CLAUDE.md trimmed to whole-repo facts (58 lines); subsystem guidance
  moved to .claude/rules/{startos-package,fastapi-image,redaction,
  audio-speech}.md with paths: frontmatter so each loads only when
  matching files are touched
- .gitignore: track .claude/rules/ while keeping the rest of .claude/
  (settings.local.json) ignored
- test-audio-with-speakers.sh: require audio-file arg in docs, replace
  owner-specific SPARK_CONTROL/VLLM defaults with generic ones
  (localhost dev server + Spark Control vLLM proxy), discover the
  loaded LLM via /api/status since /v1/models lists audio models only
- document REDACTION_MAP_DB + CONNECTIVITY_LOG as required for local
  dev (/data only exists in the container)
- prettier pass over startos/actions (formatting drift)
2026-06-11 19:12:23 -05:00

166 lines
5.7 KiB
TypeScript

import { sdk } from '../sdk'
import { sparkConfigYaml } from '../fileModels/sparkConfig.yaml'
const { InputSpec, Value } = sdk
const inputSpec = InputSpec.of({
spark1_host: Value.text({
name: 'Spark 1 hostname or IP',
description:
'The head node of your DGX Spark cluster — the one that has ~/spark-vllm-docker cloned and runs the vLLM container. Enter its LAN IP (recommended) or hostname.',
required: true,
default: null,
placeholder: 'e.g. 192.168.1.10',
masked: false,
}),
spark1_user: Value.text({
name: 'Spark 1 SSH user',
description:
'The user account on Spark 1 to SSH in as — whatever you log in as when you ssh into it manually.',
required: true,
default: null,
placeholder: 'your SSH username',
masked: false,
}),
spark2_host: Value.text({
name: 'Spark 2 hostname or IP',
description:
'The worker node of your DGX Spark cluster (also runs always-on services like Parakeet and Kokoro). Enter its LAN IP or hostname.',
required: true,
default: null,
placeholder: 'e.g. 192.168.1.11',
masked: false,
}),
spark2_user: Value.text({
name: 'Spark 2 SSH user',
description:
'The user account on Spark 2 to SSH in as. Usually the same as Spark 1.',
required: true,
default: null,
placeholder: 'your SSH username',
masked: false,
}),
parakeet_host: Value.text({
name: 'Parakeet host (optional)',
description:
"Override the host running the Parakeet STT container. Leave blank if Parakeet runs on Spark 2 — that's the default. Set this if you run Parakeet on Spark 1 or a different machine.",
required: false,
default: null,
placeholder: 'leave blank to use Spark 2',
masked: false,
}),
parakeet_container: Value.text({
name: 'Parakeet container name (optional)',
description:
'Docker container name for Parakeet. Defaults to "parakeet-asr" — change only if you named yours something else.',
required: false,
default: null,
placeholder: 'parakeet-asr',
masked: false,
}),
kokoro_host: Value.text({
name: 'Kokoro host (optional)',
description:
'Override the host running the Kokoro TTS container. Leave blank if Kokoro runs on Spark 2.',
required: false,
default: null,
placeholder: 'leave blank to use Spark 2',
masked: false,
}),
kokoro_container: Value.text({
name: 'Kokoro container name (optional)',
description: 'Docker container name for Kokoro. Defaults to "kokoro-tts".',
required: false,
default: null,
placeholder: 'kokoro-tts',
masked: false,
}),
embed_host: Value.text({
name: 'Embedding server host (optional)',
description:
'Override the host running the spark-embed container (bge-m3 dense embeddings + reranker). Leave blank if it runs on Spark 2.',
required: false,
default: null,
placeholder: 'leave blank to use Spark 2',
masked: false,
}),
embed_container: Value.text({
name: 'Embedding container name (optional)',
description:
'Docker container name for the embedding server. Defaults to "spark-embed".',
required: false,
default: null,
placeholder: 'spark-embed',
masked: false,
}),
qdrant_host: Value.text({
name: 'Qdrant host (optional)',
description:
'Override the host running the Qdrant vector database. Leave blank if it runs on Spark 2.',
required: false,
default: null,
placeholder: 'leave blank to use Spark 2',
masked: false,
}),
qdrant_container: Value.text({
name: 'Qdrant container name (optional)',
description: 'Docker container name for Qdrant. Defaults to "qdrant".',
required: false,
default: null,
placeholder: 'qdrant',
masked: false,
}),
qdrant_collection: Value.text({
name: 'Default Qdrant collection (optional)',
description:
'Default collection name used by /api/search when a request does not specify one. Leave blank to require callers to pass a collection.',
required: false,
default: null,
placeholder: 'e.g. crm_chunks',
masked: false,
}),
open_webui_url: Value.text({
name: 'Open WebUI URL (optional)',
description:
'If you also run Open WebUI on your LAN, paste its URL here. Spark Control will then show a one-click "Open chat" button next to the current model so you can jump straight to it.',
required: false,
default: null,
placeholder: 'e.g. https://open-webui.yourserver.local',
masked: false,
}),
ngc_api_key: Value.text({
name: 'NGC API key (optional)',
description:
'NVIDIA NGC personal API key — needed to install NIM containers (Parakeet, etc.) from nvcr.io. Get one free at https://ngc.nvidia.com/setup/personal-key. Stored only on this Start9 server; passed to docker as the NGC_API_KEY env var when installing NIM services. (Kokoro TTS is Apache 2.0 and does not need an NGC key.)',
required: false,
default: null,
placeholder: 'starts with "nvapi-..."',
masked: true,
}),
})
export const configureSparks = sdk.Action.withInput(
'configure-sparks',
async () => ({
name: 'Configure Sparks',
description: 'Set the hostnames and SSH users for your two Spark nodes.',
warning: null,
visibility: 'enabled',
allowedStatuses: 'any',
group: null,
}),
async () => inputSpec,
async ({ effects }) => {
const cfg = await sparkConfigYaml.read().once()
return cfg ?? null
},
async ({ effects, input }) => {
// Optional fields come through as `null`; coerce to empty string for the schema.
const normalized = Object.fromEntries(
Object.entries(input).map(([k, v]) => [k, v ?? '']),
) as Record<string, string>
await sparkConfigYaml.merge(effects, normalized)
return null
},
)