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feat(automod): store semantic cache embeddings in Qdrant
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New qdrantClient.ts (zero-dep fetch REST): ensure collection with cosine
distance (auto-recreate on vector-size change), upsert point w/ verdict
payload, search w/ expires_at filter + score threshold.

textCacheStore: when QDRANT_URL set, embeddings are upserted to Qdrant
(primary) and searched there first; Postgres embedding column remains as
legacy fallback for pre-Qdrant rows. Config: QDRANT_URL/COLLECTION/API_KEY.
QDRANT_URL already in repo .env; added to VPS env + GATEWAY_ENV secret.
This commit is contained in:
Developer
2026-07-31 21:30:43 +07:00
parent dc119b5d5a
commit fc475dfbb7
4 changed files with 282 additions and 4 deletions
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services/discord-gateway/src/shared/config/index.ts
+6
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@@ -145,6 +145,12 @@ export const configSchema = z
.int()
.positive()
.default(30),
// Qdrant vector store for the semantic moderation cache. When
// QDRANT_URL is set, embeddings are stored/searched there (Postgres
// embedding column remains as a legacy fallback).
QDRANT_URL: z.string().optional(),
QDRANT_COLLECTION: z.string().default("gmw_text_moderation"),
QDRANT_API_KEY: z.string().optional(),
AI_LLM_MAX_CONCURRENT: z.coerce.number().int().positive().default(5),
AI_LLM_IMAGE_MAX_DIMENSION: z.coerce
.number()