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588e8395f8
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588e8395f8 | ||
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936b04742e |
@@ -27,6 +27,10 @@ function buildExtractionPrompt(userMessage, aiResponse, knownEntities = []) {
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'For each entity found, provide: name, type, and a one-sentence notes field.',
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'Return your answer as: { "entities": [ ... ] }',
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'For each entity found, you MUST provide a non-empty notes field describing it based on the conversation.',
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'For each entity found, provide:',
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' "name": short proper noun only (max 4 words, e.g. "Sydney", "NexusAI", "Tim")',
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' "type": one of the valid types',
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' "notes": one specific sentence about this entity based on the conversation (not generic)',
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'',
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knownBlock,
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'--- CONVERSATION ---', // clear delimiter helps smaller models
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@@ -32,12 +32,11 @@ async function searchEpisodes( vector, {limit = ORCHESTRATION.RECENT_EPISODE_LIM
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async function searchEntities(vector, { limit = ORCHESTRATION.ENTITIES_LIMIT, scoreThreshold = ORCHESTRATION.ENTITIES_THRESHOLD, projectId = undefined } = {}) {
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const body = { vector, limit, score_threshold: scoreThreshold, with_payload: true };
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if (projectId !== undefined) {
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if (projectId !== null && projectId !== undefined) {
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body.filter = {
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must: [{ key: 'projectId', match: { value: projectId ?? null } }]
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must: [{ key: 'projectId', match: { value: projectId } }]
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};
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}
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const res = await fetch(
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`${BASE_URL}/collections/${COLLECTIONS.ENTITIES}/points/search`,
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{
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@@ -47,7 +46,11 @@ async function searchEntities(vector, { limit = ORCHESTRATION.ENTITIES_LIMIT, sc
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}
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);
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if (!res.ok) throw new Error(`Qdrant error: ${res.status}`);
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if (!res.ok) {
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const body = await res.text();
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throw new Error(`Qdrant error: ${res.status} - ${body}`);
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}
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const data = await res.json();
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return data.result;
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}
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