bvandeusen
359bc5a283
- Migration 0069: new installs default to SigLIP 2 (so400m, 512px, 1152-d drop-in) — UPDATE applies ONLY where no image is embedded yet (fresh install), so an existing library is NOT silently invalidated; it switches deliberately via the dropdown → Re-embed → Retrain. Column server_defaults moved to SigLIP 2. - GET /api/ml/embedder-models: server-authoritative supported list (SigLIP 2 512 recommended / 384 faster / SigLIP 1 384 original) so the UI never free-types. - GpuAgentCard: the two name/version text fields → a single model dropdown; Save sets name+version from the picked option (the current model is always selectable even if off-list). - embedder.py DEFAULT_MODEL_NAME unchanged (stays the baked local-dir SigLIP 1) to avoid a local-dir/weights mismatch; SigLIP 2 loads by HF name, cached on the ml-worker's persistent HF_HOME. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
36 lines
1001 B
JavaScript
36 lines
1001 B
JavaScript
import { defineStore } from 'pinia'
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import { ref } from 'vue'
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import { useApi } from '../composables/useApi.js'
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import { useAsyncAction } from '../composables/useAsyncAction.js'
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export const useMLStore = defineStore('ml', () => {
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const api = useApi()
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const settings = ref(null)
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const { loading, error, run } = useAsyncAction({ errorAs: 'message' })
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async function loadSettings() {
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await run(async () => {
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settings.value = await api.get('/api/ml/settings')
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})
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}
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async function patchSettings(patch) {
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settings.value = await api.patch('/api/ml/settings', { body: patch })
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}
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async function triggerBackfill() {
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await api.post('/api/ml/backfill')
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}
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// Server-authoritative list of supported embedders for the model dropdown.
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async function embedderModels() {
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const r = await api.get('/api/ml/embedder-models')
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return r.models || []
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}
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return {
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settings, loading, error,
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loadSettings, patchSettings, triggerBackfill, embedderModels
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}
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})
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