feat(ai-moderation): rich context + link media vision analysis

- Conversation context recency gates (GAP_MS/MAX_AGE_MS): drop stale
  messages before silence gaps; cold_start anchor + flow descriptor
  tells LLM whether conversation is ongoing or restarted
- [location] block: channel name, thread name, nsfw/age flags from
  captured metadata (thread names instead of bare IDs)
- Link media -> multimodal: text-batch URL fetches that resolve to
  images now run vision analysis (bounded 15s) and switch prompt to
  mixed mode; <web_content> gains og:title for page context
- pnpm-workspace.yaml: approve sharp build script (unblocks install)

services/discord-gateway/pnpm-workspace.yaml

@@ -3,6 +3,7 @@ allowBuilds:
   "@lng2004/node-datachannel": true
   esbuild: true
   node-av: true
+  sharp: true
   zeromq: true
 # pnpm 11 requires build-script approvals here (the legacy `pnpm` field in
 # package.json is ignored). Native voice deps need their postinstall build.

services/discord-gateway/src/modules/ai-moderation/ai-analysis-worker.ts

@@ -21,7 +21,10 @@ import { config } from "../../shared/config/config.js";
 import { initializeDatabase } from "../../shared/database/drizzle.js";
 import { messageStore } from "../message-capture/messageStore.js";
 import type { MessageRecord } from "../message-capture/types.js";
-import { buildConversationContext } from "./conversationContext.js";
+import {
+  buildConversationContext,
+  buildLocationContext,
+} from "./conversationContext.js";
 import { runModerationAnalysis } from "./moderationOrchestrator.js";
 
 const logger = createChildLogger("ai-analysis-worker");
@@ -274,8 +277,16 @@ async function processBatch(job: {
     contextBefore,
     targets: messages,
     maxTokens: config.AI_ANALYSIS_MAX_CONTEXT_TOKENS,
+    maxAgeMs: config.AI_ANALYSIS_CONTEXT_MAX_AGE_MS,
+    gapMs: config.AI_ANALYSIS_CONTEXT_GAP_MS,
   });
-  const contextText = contextLines.join("\n");
+  const contextText = [
+    buildLocationContext(messages),
+    contextLines.descriptor,
+    ...contextLines.lines,
+  ]
+    .filter((l) => l.trim().length > 0)
+    .join("\n");
 
   const targetIds = messages.map((m) => m.id);
   const contextIds = contextBefore.map((m) => m.id);
@@ -359,8 +370,16 @@ async function processIndividual(job: {
     contextBefore,
     targets: [message],
     maxTokens: config.AI_ANALYSIS_MAX_CONTEXT_TOKENS,
+    maxAgeMs: config.AI_ANALYSIS_CONTEXT_MAX_AGE_MS,
+    gapMs: config.AI_ANALYSIS_CONTEXT_GAP_MS,
   });
-  const contextText = contextLines.join("\n");
+  const contextText = [
+    buildLocationContext([message]),
+    contextLines.descriptor,
+    ...contextLines.lines,
+  ]
+    .filter((l) => l.trim().length > 0)
+    .join("\n");
 
   const contextIds = contextBefore.map((m) => m.id);
   const attachments = await messageStore.getAttachmentsForMessages([

services/discord-gateway/src/modules/ai-moderation/conversationContext.ts

@@ -13,6 +13,26 @@ export interface ConversationContextInput {
   contextBefore: MessageRecord[];
   targets: MessageRecord[];
   maxTokens: number;
+  /**
+   * Hard age cap for context messages (ms). Messages older than this
+   * relative to the target are stale conversation noise and dropped.
+   */
+  maxAgeMs?: number;
+  /**
+   * Silence threshold (ms). A gap between consecutive context messages
+   * larger than this means the conversation restarted — older messages
+   * belong to a previous conversation and are dropped.
+   */
+  gapMs?: number;
+}
+
+export interface ConversationContextResult {
+  /** Formatted context lines (oldest → newest, recency-gated). */
+  lines: string[];
+  /** One-line flow descriptor: status, span, dropped counts. */
+  descriptor: string;
+  /** Number of context messages dropped by the recency gates. */
+  dropped: number;
 }
 
 let _encoder: ReturnType<typeof encodingForModel> | null = null;
@@ -113,16 +133,114 @@ export function formatMessageForPrompt(
   return `[${label}] id=${msg.id} time=${timestamp} user=${msg.username}: ${content}${mediaSuffix}${refInfo}`;
 }
 
+/**
+ * Builds a one-line `<location_context>` source line for the batch — channel
+ * name, thread name and age-restriction flags from captured message metadata.
+ * The LLM uses it to judge messages in the right channel context (e.g. a
+ * thread about a specific topic, or an age-restricted channel).
+ */
+export function buildLocationContext(targets: MessageRecord[]): string {
+  const target = targets[0];
+  if (!target?.metadata) return "";
+  try {
+    const meta = JSON.parse(target.metadata) as {
+      channel?: {
+        channelName?: string | null;
+        threadName?: string | null;
+        nsfw?: boolean;
+        ageRestricted?: boolean;
+        nsfwLevel?: string | null;
+      } | null;
+    };
+    const ch = meta?.channel;
+    if (!ch) return "";
+    const parts: string[] = [];
+    parts.push(
+      `id=${target.channel_id}${
+        ch.channelName ? ` name=${JSON.stringify(ch.channelName)}` : ""
+      }`,
+    );
+    if (target.thread_id || ch.threadName) {
+      parts.push(
+        `thread=${target.thread_id}${
+          ch.threadName ? ` thread_name=${JSON.stringify(ch.threadName)}` : ""
+        }`,
+      );
+    }
+    if (typeof ch.nsfw === "boolean") {
+      parts.push(`nsfw=${ch.nsfw}`);
+    }
+    if (typeof ch.ageRestricted === "boolean") {
+      parts.push(`age_restricted=${ch.ageRestricted}`);
+    }
+    return `[location] ${parts.join(" ")}`;
+  } catch {
+    return "";
+  }
+}
+
 /**
  * Builds conversation historical context without including targets.
- * Calculates how much token budget targets use, and fills the rest with context.
+ *
+ * Two recency gates decide whether a conversation is STILL the same one
+ * ("obrolan berlanjut") or already restarted:
+ *  - `gapMs`: a silence longer than this between two context messages cuts
+ *    the block there — earlier messages belong to a previous conversation.
+ *  - `maxAgeMs`: anything older than this relative to the target is noise.
+ *
+ * On a cold start (no recent context), the nearest messages are kept as a
+ * sparse anchor and the descriptor says `cold_start` instead of `ongoing`,
+ * so the LLM does not mistake scattered old messages for an active chat.
  */
 export function buildConversationContext(
   input: ConversationContextInput,
-): string[] {
+): ConversationContextResult {
   const { contextBefore, targets, maxTokens } = input;
+  const maxAgeMs = input.maxAgeMs ?? 45 * 60 * 1000;
+  const gapMs = input.gapMs ?? 12 * 60 * 1000;
 
-  // Calculate tokens used by targets (parallel)
+  const targetTime = targets.reduce(
+    (min, t) => Math.min(min, t.created_at),
+    targets[0]?.created_at ?? Date.now(),
+  );
+
+  // ── Recency gating (walk newest → oldest) ───────────────────────────────
+  const gated: MessageRecord[] = [];
+  let latestSelected: MessageRecord | null = null;
+  let gapBeforeMs: number | null = null;
+  let dropped = 0;
+
+  for (let i = contextBefore.length - 1; i >= 0; i--) {
+    const msg = contextBefore[i];
+    // Age gate
+    if (targetTime - msg.created_at > maxAgeMs) {
+      dropped += i + 1; // everything older also exceeds the age cap
+      break;
+    }
+    // Gap gate — silence between this message and the newer one already selected
+    if (latestSelected && latestSelected.created_at - msg.created_at > gapMs) {
+      gapBeforeMs = latestSelected.created_at - msg.created_at;
+      dropped += i + 1;
+      break;
+    }
+    gated.push(msg);
+    latestSelected = msg;
+  }
+
+  const gatedNewestFirst = gated.reverse();
+  let status: "ongoing" | "cold_start" | "sparse";
+  if (gatedNewestFirst.length === 0) {
+    // Cold start — keep a small anchor of the nearest messages so the LLM
+    // still senses the channel, but mark it clearly.
+    status = "cold_start";
+    gatedNewestFirst.push(...contextBefore.slice(-2)); // ± 2 nearest to target
+  } else if (gapBeforeMs === null) {
+    status = "ongoing";
+  } else {
+    status = "sparse";
+  }
+
+  // ── Format + token budget (most recent first, like before) ─────────────
   const targetLines = targets.map((msg) =>
     formatMessageForPrompt(msg, "target"),
   );
@@ -131,7 +249,7 @@ export function buildConversationContext(
     0,
   );
 
-  const contextLines = contextBefore.map((msg) =>
+  const contextLines = gatedNewestFirst.map((msg) =>
     formatMessageForPrompt(msg, "context"),
   );
   const selectedContextLines: string[] = [];
@@ -148,14 +266,26 @@ export function buildConversationContext(
     }
   }
 
+  const descriptorParts = [
+    `[conversation_flow] status=${status}`,
+    `context_msgs=${selectedContextLines.length}`,
+    `dropped=${dropped}`,
+  ];
+  if (gapBeforeMs !== null) {
+    descriptorParts.push(`gap_before_min=${Math.round(gapBeforeMs / 60000)}`);
+  }
+  const descriptor = descriptorParts.join(" ");
+
   logger.debug(
     {
       targetCount: targets.length,
       contextCount: selectedContextLines.length,
+      status,
+      dropped,
       usedTokens,
       maxTokens,
     },
     "Conversation context built",
   );
-  return selectedContextLines;
+  return { lines: selectedContextLines, descriptor, dropped };
 }

services/discord-gateway/src/modules/ai-moderation/mediaDownloader.ts

@@ -494,8 +494,9 @@ export async function fetchUrlInline(
       sourceLabel: `[gambar dari URL ${url} (inline), pesan id=${targetId}]`,
     });
   } else if (result.type === "text" && result.textContent) {
+    const titleAttr = result.title ? ` title="${escapeXml(result.title)}"` : "";
     webTexts.push(
-      `<web_content url="${escapeXml(url)}">${escapeXml(result.textContent.slice(0, 2000))}</web_content>`,
+      `<web_content url="${escapeXml(url)}"${titleAttr}>${escapeXml(result.textContent.slice(0, 2000))}</web_content>`,
     );
   }
 }

services/discord-gateway/src/modules/ai-moderation/textBatchProcessor.ts

@@ -6,7 +6,9 @@
  * the LLM for analysis. Extracted from moderationOrchestrator.ts.
  */
 import { createChildLogger } from "@/shared/logger/index";
+import { delay } from "@/shared/utils/index";
 import { config } from "../../shared/config/config.js";
+import { resizeImageForVision } from "../attachment-upload/imageResizer.js";
 import type {
   AnalysisResult,
   MessageRecord,
@@ -14,6 +16,7 @@ import type {
 import { getChannelCulture } from "./channelCultureStore.js";
 import type { ModerationPromptContent, RetryState } from "./llmCaller.js";
 import { callModerationLLM } from "./llmCaller.js";
+import { analyzeSingleMediaImage } from "./mediaAnalysisClient.js";
 import {
   buildReferenceXml,
   escapeXml,
@@ -33,6 +36,7 @@ import { getRecentCorrectedModerations } from "./textCacheStore.js";
 import { extractUrlsFromText, fetchUrlSafely } from "./urlFetcher.js";
 import { getUserProfile } from "./userProfileStore.js";
 import { initializeUserReputation } from "./userReputationStore.js";
+import type { MessageImagePart } from "./visionAnalyzer.js";
 
 const log = createChildLogger("textBatchProcessor");
 
@@ -84,22 +88,33 @@ export async function runTextOnlyBatch(
         allUrls.add(url);
     }
     const urlArr = Array.from(allUrls).slice(0, 10);
-    if (urlArr.length === 0) return new Map<string, string>();
+    if (urlArr.length === 0) {
+      return {
+        text: new Map<string, string>(),
+        image: new Map<string, { data: Buffer; mimeType: string }>(),
+        title: new Map<string, string>(),
+      };
+    }
     const results = await Promise.allSettled(
       urlArr.map((url) => fetchUrlSafely(url)),
     );
-    const map = new Map<string, string>();
+    const textMap = new Map<string, string>();
+    const imageMap = new Map<string, { data: Buffer; mimeType: string }>();
+    const titleMap = new Map<string, string>();
     for (let i = 0; i < urlArr.length; i++) {
       const r = results[i];
-      if (
+      if (r.status !== "fulfilled") continue;
-        r.status === "fulfilled" &&
+      const v = r.value;
-        r.value.type === "text" &&
+      if (v.type === "text" && v.textContent) {
-        r.value.textContent
+        textMap.set(urlArr[i], v.textContent);
-      ) {
+        if (v.title) titleMap.set(urlArr[i], v.title);
-        map.set(urlArr[i], r.value.textContent);
+      } else if (v.type === "image" && v.data && v.mimeType) {
+        // Direct image link (or og:image followed from an HTML page) —
+        // kept for vision analysis below.
+        imageMap.set(urlArr[i], { data: v.data, mimeType: v.mimeType });
       }
     }
-    return map;
+    return { text: textMap, image: imageMap, title: titleMap };
   })();
 
   const searxngPromise = (async () => {
@@ -122,10 +137,11 @@ export async function runTextOnlyBatch(
     return map;
   })();
 
-  const [urlFetchMap, searxngResults] = await Promise.all([
+  const [urlFetchMaps, searxngResults] = await Promise.all([
     urlFetchPromise,
     searxngPromise,
   ]);
+  const urlFetchMap = urlFetchMaps.text;
 
   // Deduplicate identical short messages
   const shortContentGroups = new Map<string, MessageRecord[]>();
@@ -193,6 +209,65 @@ export async function runTextOnlyBatch(
       }
     }
 
+    // ── URL images → multimodal vision evidence ─────────────────────────
+    // The text batch fetches inline URLs; whenever one resolved to an image
+    // (direct image link, or og:image followed from an HTML page), run the
+    // vision model and append its description as media evidence. If any
+    // message in the sub-batch produced image evidence, the prompt switches
+    // to "mixed" mode so media-analysis instructions/examples are injected
+    // — a link to media is analyzed as media, not as bare text.
+    const batchImageEvidence = new Map<string, string[]>();
+    let batchHasImageEvidence = false;
+    const urlImages = urlFetchMaps.image;
+    const urlTitles = urlFetchMaps.title;
+    if (urlImages.size > 0) {
+      const maxDim = config.AI_LLM_IMAGE_MAX_DIMENSION ?? 1024;
+      const evidenceSets = await Promise.all(
+        batch.map(async (msg) => {
+          const content = getAnalysisContent(msg);
+          const pics = extractUrlsFromText(content)
+            .slice(0, 3)
+            .filter((url) => urlImages.has(url));
+          if (pics.length === 0) return { id: msg.id, lines: [] as string[] };
+          const lines = await Promise.all(
+            pics.map(async (url) => {
+              const img = urlImages.get(url)!;
+              try {
+                const { data: resizedBuffer, mimeType: resizedMime } =
+                  await resizeImageForVision(img.data, maxDim);
+                const part: MessageImagePart = {
+                  type: "image_url",
+                  image_url: {
+                    url: `data:${resizedMime};base64,${resizedBuffer.toString("base64")}`,
+                  },
+                  sourceLabel: `[gambar dari URL ${url} (inline), pesan id=${msg.id}]`,
+                };
+                // Bound vision time so a dead vision model can't stall the
+                // whole text batch — a timeout just skips the evidence.
+                const timedOut = delay(15000).then(() => null as string | null);
+                return await Promise.race([
+                  analyzeSingleMediaImage(msg.id, part),
+                  timedOut,
+                ]);
+              } catch {
+                return null;
+              }
+            }),
+          );
+          return {
+            id: msg.id,
+            lines: lines.filter((l): l is string => Boolean(l)),
+          };
+        }),
+      );
+      for (const set of evidenceSets) {
+        if (set.lines.length > 0) {
+          batchImageEvidence.set(set.id, set.lines);
+          batchHasImageEvidence = true;
+        }
+      }
+    }
+
     const buildContent = async (
       state: RetryState,
     ): Promise<ModerationPromptContent> => {
@@ -205,7 +280,7 @@ export async function runTextOnlyBatch(
       const correctedExamples = await buildCorrectedFewShotExamples();
       const systemText = buildSystemPromptModular({
         contextText,
-        mode: "text",
+        mode: batchHasImageEvidence ? "mixed" : "text",
         correction,
         correctedExamples,
         channelCulture,
@@ -219,17 +294,21 @@ export async function runTextOnlyBatch(
             const urlContexts = msgUrls
               .map((url) => {
                 const ft = urlFetchMap.get(url);
-                return ft
+                if (!ft) return null;
-                  ? `<web_content url="${escapeXml(url)}">${escapeXml(ft)}</web_content>`
+                const title = urlTitles.get(url);
-                  : null;
+                const titleAttr = title ? ` title="${escapeXml(title)}"` : "";
+                return `<web_content url="${escapeXml(url)}"${titleAttr}>${escapeXml(ft)}</web_content>`;
               })
               .filter(Boolean)
               .join("\n");
             const webContext = urlContexts ? `\n${urlContexts}` : "";
+            const mediaEvidenceCtx = (batchImageEvidence.get(msg.id) ?? [])
+              .map((line) => `\n${line}`)
+              .join("");
             const userCtx = userContexts.get(msg.user_id) ?? "";
             const userProfileCtx = userProfiles.get(msg.user_id) ?? "";
             const refXml = await buildReferenceXml(msg);
-            return `<message id="${msg.id}" user="${msg.username}">\n  ${userCtx}${userProfileCtx ? `\n  ${userProfileCtx}` : ""}${refXml ? `\n  ${refXml}` : ""}\n  <content>${escapeXml(content)}</content>${webContext}\n</message>`;
+            return `<message id="${msg.id}" user="${msg.username}">\n  ${userCtx}${userProfileCtx ? `\n  ${userProfileCtx}` : ""}${refXml ? `\n  ${refXml}` : ""}\n  <content>${escapeXml(content)}</content>${webContext}${mediaEvidenceCtx}\n</message>`;
           }),
         )
       ).join("\n");

services/discord-gateway/src/modules/ai-moderation/urlFetcher.ts

@@ -11,6 +11,8 @@ export interface FetchedUrlContext {
   data?: Buffer;
   mimeType?: string;
   textContent?: string;
+  /** Page title from og:title / <title> — strong signal for the LLM. */
+  title?: string;
   error?: string;
 }
 
@@ -86,6 +88,50 @@ function extractOgImage(html: string): string | null {
   return null;
 }
 
+export interface OgMeta {
+  title: string | null;
+  description: string | null;
+  siteName: string | null;
+}
+
+/**
+ * Extracts OpenGraph / twitter meta + <title> from raw HTML. Both attribute
+ * orders are accepted (<meta property=... content=...> and reversed).
+ */
+export function extractOgMeta(html: string): OgMeta {
+  const metaValue = (name: string): string | null => {
+    const re = new RegExp(
+      `<meta[^>]*(?:property|name)=["']${name}["'][^>]*content=["']([^"']+)["']`,
+      "i",
+    );
+    const m = html.match(re);
+    if (m?.[1]) return m[1].replace(/&amp;/g, "&").replace(/&quot;/g, '"');
+    const reRev = new RegExp(
+      `<meta[^>]*content=["']([^"']+)["'][^>]*(?:property|name)=["']${name}["']`,
+      "i",
+    );
+    const mRev = html.match(reRev);
+    return mRev?.[1]
+      ? mRev[1].replace(/&amp;/g, "&").replace(/&quot;/g, '"')
+      : null;
+  };
+
+  const title =
+    metaValue("og:title") ||
+    metaValue("twitter:title") ||
+    html.match(/<title[^>]*>([^<]+)<\/title>/i)?.[1]?.trim() ||
+    null;
+  const description =
+    metaValue("og:description") ||
+    metaValue("twitter:description") ||
+    metaValue("description") ||
+    null;
+  const siteName =
+    metaValue("og:site_name") || metaValue("application-name") || null;
+
+  return { title, description, siteName };
+}
+
 function truncateAndCleanHtml(html: string, maxLen = 1000): string {
   // Strip <script> and <style> entirely
   let text = html.replace(
@@ -176,6 +222,7 @@ export async function fetchUrlSafely(
         url,
         type: "text",
         textContent: cleaned,
+        title: extractOgMeta(text).title ?? undefined,
       };
     }
 

services/discord-gateway/src/shared/config/index.ts

@@ -189,6 +189,17 @@ export const configSchema = z
       .int()
       .positive()
       .default(20),
+    // Recency gates for conversation context. A silence longer than GAP_MS
+    // between context messages = the conversation restarted (older messages
+    // dropped); MAX_AGE_MS caps how far back context is considered relevant.
+    AI_ANALYSIS_CONTEXT_GAP_MS: z.coerce
+      .number()
+      .positive()
+      .default(12 * 60 * 1000),
+    AI_ANALYSIS_CONTEXT_MAX_AGE_MS: z.coerce
+      .number()
+      .positive()
+      .default(45 * 60 * 1000),
     AI_ANALYSIS_PROCESSING_TIMEOUT_MS: z.coerce
       .number()
       .positive()

services/discord-gateway/tests/conversationContext.test.ts

@@ -0,0 +1,185 @@
+// ═══════════════════════════════════════════════════════════════════════════
+// Conversation context v2 — recency gating + location context (pure, no DB)
+// ═══════════════════════════════════════════════════════════════════════════
+import { describe, expect, it } from "vitest";
+import {
+  buildConversationContext,
+  buildLocationContext,
+} from "../src/modules/ai-moderation/conversationContext.js";
+import { extractOgMeta } from "../src/modules/ai-moderation/urlFetcher.js";
+import type { MessageRecord } from "../src/modules/message-capture/types.js";
+
+const NOW = 1_800_000_000_000;
+
+function msg(id: string, createdAt: number, content = "hai"): MessageRecord {
+  return {
+    id,
+    guild_id: "g1",
+    channel_id: "c1",
+    thread_id: null,
+    user_id: `u_${id}`,
+    username: `user_${id}`,
+    avatar_url: null,
+    content,
+    edited_content: null,
+    created_at: createdAt,
+    edited_at: null,
+    deleted_at: null,
+    type: "text",
+    is_reply: null,
+    is_forward: null,
+    is_crosspost: null,
+    reference_message_id: null,
+    reference_channel_id: null,
+    reference_guild_id: null,
+    metadata: null,
+  };
+}
+
+function target(id = "t1", createdAt = NOW): MessageRecord {
+  return {
+    ...msg(id, createdAt),
+    content: "pesan yang dianalisis",
+  };
+}
+
+const MIN = 60_000;
+
+describe("buildConversationContext — recency gating", () => {
+  it("keeps an ONGOING conversation — recent messages, small gaps", () => {
+    const context = [
+      msg("a", NOW - 8 * MIN),
+      msg("b", NOW - 6 * MIN),
+      msg("c", NOW - 4 * MIN),
+      msg("d", NOW - 2 * MIN),
+    ];
+    const { lines, descriptor, dropped } = buildConversationContext({
+      contextBefore: context,
+      targets: [target()],
+      maxTokens: 8000,
+      gapMs: 12 * MIN,
+      maxAgeMs: 45 * MIN,
+    });
+    expect(lines).toHaveLength(4);
+    expect(dropped).toBe(0);
+    expect(descriptor).toContain("status=ongoing");
+  });
+
+  it("drops messages before a silence gap — conversation RESTARTED", () => {
+    const context = [
+      msg("old1", NOW - 40 * MIN),
+      msg("old2", NOW - 38 * MIN),
+      msg("fresh", NOW - 5 * MIN),
+    ];
+    const { lines, descriptor, dropped } = buildConversationContext({
+      contextBefore: context,
+      targets: [target()],
+      maxTokens: 8000,
+      gapMs: 12 * MIN,
+      maxAgeMs: 45 * MIN,
+    });
+    // 40min-old messages are within maxAge but 33min before "fresh" → gap gate
+    expect(lines.some((l) => l.includes("old1"))).toBe(false);
+    expect(lines.some((l) => l.includes("fresh"))).toBe(true);
+    expect(dropped).toBe(2);
+    expect(descriptor).toContain("status=sparse");
+    expect(descriptor).toContain("gap_before_min=");
+  });
+
+  it("drops everything older than maxAge — stale noise, cold_start anchor kept", () => {
+    const context = [
+      msg("ancient", NOW - 120 * MIN),
+      msg("stale", NOW - 60 * MIN),
+    ];
+    const { lines, descriptor, dropped } = buildConversationContext({
+      contextBefore: context,
+      targets: [target()],
+      maxTokens: 8000,
+      gapMs: 12 * MIN,
+      maxAgeMs: 45 * MIN,
+    });
+    // Age gate drops both from the real context block, but the cold-start
+    // anchor keeps the nearest 2 so the LLM still senses the channel.
+    expect(dropped).toBe(2);
+    expect(descriptor).toContain("status=cold_start");
+    expect(lines).toHaveLength(2);
+  });
+
+  it("keeps a 2-message anchor on cold start so the LLM senses the channel", () => {
+    const context = [
+      msg("far1", NOW - 100 * MIN),
+      msg("far2", NOW - 99 * MIN),
+      msg("near1", NOW - 50 * MIN),
+    ];
+    const { lines, descriptor } = buildConversationContext({
+      contextBefore: context,
+      targets: [target()],
+      maxTokens: 8000,
+      gapMs: 12 * MIN,
+      maxAgeMs: 45 * MIN,
+    });
+    expect(lines).toHaveLength(2); // nearest 2 kept as anchor
+    expect(lines.some((l) => l.includes("near1"))).toBe(true);
+    expect(descriptor).toContain("status=cold_start");
+  });
+
+  it("respects the token budget (older lines dropped first)", () => {
+    const context = Array.from({ length: 20 }, (_, i) =>
+      msg(`m${i}`, NOW - (i + 1) * MIN),
+    );
+    const { lines } = buildConversationContext({
+      contextBefore: context,
+      targets: [target()],
+      maxTokens: 600,
+      gapMs: 12 * MIN,
+      maxAgeMs: 45 * MIN,
+    });
+    expect(lines.length).toBeLessThan(20);
+    expect(lines.length).toBeGreaterThan(0);
+  });
+});
+
+describe("buildLocationContext — channel/thread/nsfw enrichment", () => {
+  it("renders channel name + thread name from captured metadata", () => {
+    const t = target();
+    t.metadata = JSON.stringify({
+      channel: {
+        channelName: "general",
+        threadName: "tanya coding",
+        nsfw: false,
+        ageRestricted: false,
+      },
+    });
+    const line = buildLocationContext([t]);
+    expect(line).toContain("[location]");
+    expect(line).toContain('name="general"');
+    expect(line).toContain('thread_name="tanya coding"');
+    expect(line).toContain("nsfw=false");
+  });
+
+  it("returns empty when no metadata", () => {
+    expect(buildLocationContext([target()])).toBe("");
+  });
+});
+
+describe("extractOgMeta — page title/site for <web_content>", () => {
+  it("extracts og:title, og:description and og:site_name", () => {
+    const html = `
+      <html><head>
+        <title>Fallback title</title>
+        <meta property="og:title" content="Judul Halaman &amp; Keren" />
+        <meta property="og:description" content="Deskripsi halaman" />
+        <meta property="og:site_name" content="Contoh Site" />
+        <meta property="og:image" content="https://img.example.com/x.png" />
+      </head></html>`;
+    const meta = extractOgMeta(html);
+    expect(meta.title).toBe("Judul Halaman & Keren");
+    expect(meta.description).toBe("Deskripsi halaman");
+    expect(meta.siteName).toBe("Contoh Site");
+  });
+
+  it("falls back to <title> when og:title missing", () => {
+    const html = "<html><head><title>Plain Title</title></head></html>";
+    expect(extractOgMeta(html).title).toBe("Plain Title");
+  });
+});