asepharyana
c18431bdbf
Root cause (3rd layer after50371bd+4f4c435): a vision model run (2026-08-10) returned 'Maaf, saya tidak melihat gambar apapun yang terlampir...' and that text was cached as a VALID vision_llm result (image + phash keys, 24h/7d TTL). Every subsequent analysis of the same image (same hash/phash) hit the poisoned cache, so image analysis looked broken forever even though 9router responded fine — the moderation LLM wrote 'lampiran yang gagal terbaca' from a cache hit. Also: mimo via 9router streams reasoning in delta.reasoning + delta.reasoning_details[].text (content:"") — extractChunkText only read delta.reasoning_content, so those runs aggregated empty → 'Vision API null response' (observed 08:54/09:07/09:38). Fixes: - llmClient.extractChunkText: fall back to delta.reasoning and reasoning_details[].text (mimo), on top of reasoning_content (gemma). - visionAnalyzer: isNoImageSeenText() detects 'no image' style outputs; such results are NEVER cached, and poisoned entries are purged when hit (LRU/DB/phash) so re-analysis actually re-runs vision. - Tests: reasoning/reasoning_details extraction + isNoImageSeenText (Indonesian + English, no false positives on real descriptions).
53 lines
2.5 KiB
TypeScript
53 lines
2.5 KiB
TypeScript
// ═══════════════════════════════════════════════════════════════════════════
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// isNoImageSeenText — vision outputs that claim "no image" must not be cached
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// ═══════════════════════════════════════════════════════════════════════════
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// Regression (2026-08-11): the vision model sometimes answered "Maaf, saya
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// tidak melihat gambar apapun yang terlampir..." and that text was cached as
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// a VALID vision_llm result. Every later analysis of the same image (same
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// hash / phash) then hit the poisoned cache and the moderation LLM wrote
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// "lampiran yang gagal terbaca" — image analysis seemed permanently broken
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// even though 9router was responding fine.
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import { describe, expect, it } from "vitest";
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import { isNoImageSeenText } from "../src/modules/ai-moderation/visionAnalyzer.js";
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describe("isNoImageSeenText — poisoned vision output detection", () => {
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it("detects the exact poisoned strings seen in production", () => {
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expect(
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isNoImageSeenText(
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"Maaf, saya tidak melihat gambar apapun yang terlampir dalam pesan Anda. Mohon kirimkan ulang gambarnya agar saya bisa mendeskripsikannya secara objektif dan spesifik.",
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),
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).toBe(true);
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expect(
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isNoImageSeenText(
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"Tidak ada gambar yang terlampir. Tidak bisa deskripsi tanpa input visual.",
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),
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).toBe(true);
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});
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it("detects English variants", () => {
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expect(isNoImageSeenText("I cannot see any image in this message")).toBe(
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true,
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);
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expect(isNoImageSeenText("No image provided")).toBe(true);
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expect(isNoImageSeenText("there is no image attached")).toBe(true);
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expect(isNoImageSeenText("I don't see an image")).toBe(true);
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});
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it("does NOT flag legitimate image descriptions", () => {
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expect(
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isNoImageSeenText(
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"Gambar ini menampilkan dua panel komik, seorang gadis berambut biru tersipu saat dipuji.",
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),
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).toBe(false);
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expect(
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isNoImageSeenText("Ini adalah screenshot dari sebuah website rekrutmen."),
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).toBe(false);
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expect(isNoImageSeenText("Emoji menampilkan ekspresi wajah tertawa.")).toBe(
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false,
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);
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expect(isNoImageSeenText(null)).toBe(false);
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expect(isNoImageSeenText(undefined)).toBe(false);
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expect(isNoImageSeenText("")).toBe(false);
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});
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});
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