chore: migrate AI LLM router from 9router to omniroute

Switch GMW's AI LLM base URL from 9router (https://9router.asepharyana.my.id/v1)
to omniroute on imrnes (http://100.121.180.82:20128/api/v1).

- Update default AI_LLM_BASE_URL in discord-gateway + backend config schemas
- Update .env.example documentation
- Update all 9router references in comments/docs/tests to omniroute
- Production BWS secret gmw_ai_llm_base_url already updated

Omniroute uses /api/v1 prefix (not /v1 like 9router), so the base URL
now correctly points at the right API path for the OpenAI SDK.

.env.example

@@ -85,7 +85,7 @@ BACKLOG_SYNC_BATCH_SIZE=100             # Messages per backlog batch, max 100 (d
 # === AI Analysis ===
 AI_ANALYSIS_ENABLED=false               # Enable AI content moderation (default: false)
 AI_LLM_API_KEY=                        # REQUIRED if AI_ANALYSIS_ENABLED=true. LLM API key
-AI_LLM_BASE_URL=https://9router.asepharyana.my.id/v1  # LLM API base URL (9router — OpenAI-compatible router, replaces omniroute)
+AI_LLM_BASE_URL=http://100.121.180.82:20128/api/v1  # LLM API base URL (omniroute — OpenAI-compatible router on imrnes, Tailscale 100.121.180.82)
 AI_LLM_MODEL=text                       # LLM text model name (default: text)
 # AI_LLM_VISION_MODEL=                   # Vision model for image analysis (falls back to AI_LLM_MODEL)
 # AI_LLM_EMBEDDING_MODEL=                # Embedding model for semantic moderation cache (optional; enables near-duplicate text reuse to save LLM calls)

services/backend/src/modules/chatbot/chatbot.service.ts

@@ -158,7 +158,7 @@ Gaya ngobrol:
             tool_choice: "auto",
             max_tokens: 600,
             temperature: 0.4,
-            // Non-streaming: request a single complete response. 9router may
+            // Non-streaming: request a single complete response. omniroute may
             // still emit SSE even with stream:false, so the parser below
             // handle both raw-JSON and SSE bodies.
             stream: false,
@@ -176,7 +176,7 @@ Gaya ngobrol:
           },
         );
 
-        // Parse the body into content + tool_calls. 9router may return either
+        // Parse the body into content + tool_calls. omniroute may return either
         // a single JSON object (stream:false honored) or SSE text (stream
         // implied) — parseResponse handles both.
         const { content, toolCalls } = this.parseResponse(
@@ -252,7 +252,7 @@ Gaya ngobrol:
 
   /**
    * Parse an LLM HTTP body into content + tool_calls. Handles both shapes
-   * 9router can return: a single JSON object (stream:false honored) or SSE
+   * omniroute can return: a single JSON object (stream:false honored) or SSE
    * text (stream implied). For SSE we delegate to parseSse.
    */
   private parseResponse(body: string): {
@@ -306,7 +306,7 @@ Gaya ngobrol:
 
   /**
    * Parse an SSE stream body into accumulated content + any tool_calls.
-   * 9router (and most OpenAI-compatible routers) emit `data: {json}` lines
+   * omniroute (and most OpenAI-compatible routers) emit `data: {json}` lines
    * even when stream is only implied; we must collect deltas manually.
    */
   private parseSse(body: string): {

services/backend/src/shared/config/index.ts

@@ -131,7 +131,7 @@ export const configSchema = z
     AI_LLM_BASE_URL: z
       .string()
       .url()
-      .default("https://9router.asepharyana.my.id/v1"),
+      .default("http://100.121.180.82:20128/api/v1"),
     AI_LLM_MODEL: z.string().default("text"),
     AI_LLM_VISION_MODEL: z.string().optional(),
     AI_LLM_EMBEDDING_MODEL: z.string().optional(),

services/discord-gateway/ARCHITECTURE.md

@@ -139,5 +139,5 @@ pipeline gauges — `ai_analysis_queued_conversations`,
   numeric snowflake IDs never trigger false positives.
 - **Semantic cache is batched** (one embed call + one Qdrant batch search),
   not N sequential round-trips. `ensureQdrantCollection` is memoized.
-- **Streaming is mandatory** against the 9router base URL (non-stream waits for
+- **Streaming is mandatory** against the omniroute base URL (non-stream waits for
   the full body and times out). `llmClient` aggregates SSE chunks.

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

@@ -85,7 +85,7 @@ export async function callModerationLLM(
             jsonResponse: { type: "json_object" },
             retries: 0,
             signal,
-            // Router (9router / formerly omniroute) always streams SSE even when the
+            // Router (omniroute) always streams SSE even when the
             // request omits `stream`. In non-stream mode the OpenAI SDK waits
             // for the FULL body before parsing, so slow/long upstream streams
             // hit the 30s/60s timeout and abort mid-generation. Streaming mode

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

@@ -94,7 +94,7 @@ type LLMResponseChunk = {
  * `delta.content`; falls back to reasoning fields so reasoning-only models
  * still produce usable aggregated text. Providers differ in the field name:
  * - DeepSeek-style / Cloudflare gemma → `delta.reasoning_content`
- * - mimo (via 9router) streams reasoning in `delta.reasoning` +
+ * - mimo (via omniroute) streams reasoning in `delta.reasoning` +
  *   `delta.reasoning_details[].text` (content:"") — without these fallbacks
  *   vision aggregation came back empty ("Vision API null response").
  * Exported for unit tests.
@@ -225,7 +225,7 @@ export function buildLlmParams(
       reasoning: { enabled: false },
       // vLLM / Qwen / litellm
       chat_template_kwargs: { enable_thinking: false },
-      // Anthropic / Claude-format (9router exposes thinkingFormat
+      // Anthropic / Claude-format (omniroute exposes thinkingFormat
       // "claude-adaptive" / "claude-budget" on its reasoning models)
       thinking: { type: "disabled" },
     } as Record<string, unknown>);

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

@@ -149,7 +149,7 @@ export const configSchema = z
     AI_LLM_BASE_URL: z
       .string()
       .url()
-      .default("https://9router.asepharyana.my.id/v1"),
+      .default("http://100.121.180.82:20128/api/v1"),
     AI_LLM_MODEL: z.string().default("text"),
     // Vision uses the SAME router/base URL as text moderation
     // (AI_LLM_BASE_URL) but a different model alias. The dedicated NVIDIA

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

@@ -1,7 +1,7 @@
 // ═══════════════════════════════════════════════════════════════════════════
 // llmClient chunk extraction — reasoning_content fallback (pure, no network)
 // ═══════════════════════════════════════════════════════════════════════════
-// Regression: 9router "multimodal" combo routed to cloudflare gemma-4-26b
+// Regression: omniroute "multimodal" combo routed to cloudflare gemma-4-26b
 // which streams ALL output in delta.reasoning_content with content:"" — the
 // old extractor returned empty text → llmVision reported "Vision API null
 // response" → every image moderation batch fell back to text-only analysis
@@ -19,7 +19,7 @@ describe("extractChunkText — streaming chunk text extraction", () => {
   });
 
   it("falls back to delta.reasoning_content when content is empty — reasoning-only models (cloudflare gemma)", () => {
-    // Exact shape seen from 9router → cloudflare-ai/@cf/google/gemma-4-26b:
+    // Exact shape seen from omniroute → cloudflare-ai/@cf/google/gemma-4-26b:
     // {"choices":[{"delta":{"content":"","reasoning_content":"Task","role":"assistant"},"finish_reason":null,...}]}
     expect(
       extractChunkText({
@@ -33,8 +33,8 @@ describe("extractChunkText — streaming chunk text extraction", () => {
     ).toBe("Task");
   });
 
-  it('falls back to delta.reasoning — mimo via 9router streams reasoning there with content:""', () => {
+  it('falls back to delta.reasoning — mimo via omniroute streams reasoning there with content:""', () => {
-    // Exact shape seen from 9router → mimo-v2.5-free (2026-08-11):
+  // Exact shape seen from omniroute → mimo-v2.5-free (2026-08-11):
     // {"choices":[{"delta":{"content":"","reasoning":"The user wants a","role":"assistant"},"finish_reason":null,...}]}
     expect(
       extractChunkText({

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

@@ -6,7 +6,7 @@
 // a VALID vision_llm result. Every later analysis of the same image (same
 // hash / phash) then hit the poisoned cache and the moderation LLM wrote
 // "lampiran yang gagal terbaca" — image analysis seemed permanently broken
-// even though 9router was responding fine.
+// even though omniroute was responding fine.
 import { describe, expect, it } from "vitest";
 import { isNoImageSeenText } from "../src/modules/ai-moderation/visionAnalyzer.js";