spark-control/package/startos/actions/configureSparks.ts

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,
  }),
  matrix_bridge_user: Value.text({
    name: 'matrix-bridge bot SSH user (optional)',
    description:
      "If you run the matrix-bridge Matrix bot on Spark 2, enter the SSH user that owns its ~/matrix-bridge folder (e.g. 'modelo'). Spark Control then shows a tile to update, restart, and view logs for the bot. Leave blank if you don't run the bot — the tile stays hidden. Note: this package's SSH public key must be authorized for that user (Show Public Key action) unless it's the same as your Spark 2 user.",
    required: false,
    default: null,
    placeholder: 'e.g. modelo',
    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
  },
)