From 17107047fefdbac000af0f1fb01ea9c15d26481a Mon Sep 17 00:00:00 2001
From: ImBenji <benjamin.watt@imbenji.net>
Date: Wed, 22 Apr 2026 21:15:35 +0100
Subject: [PATCH] update augorWorker to use openRouter configuration and set
 llmModel in config

---
 config.json                 | 8 ++------
 intelligence/augorWorker.js | 7 +++----
 2 files changed, 5 insertions(+), 10 deletions(-)

diff --git a/config.json b/config.json
index d143027..5f3d777 100644
--- a/config.json
+++ b/config.json
@@ -1,11 +1,6 @@
 {
   "duriin_db": "./archive.sqlite",
   "intelligence_db": "./intelligence.sqlite",
-  "llm": {
-    "baseUrl": "https://openrouter.ai/api/v1",
-    "model": "qwen/qwen3-235b-a22b-2507",
-    "apiKey": "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"
-  },
   "workers": {
     "relevanceBatchSize": 50,
     "relevanceLoopDelayMs": 2000,
@@ -38,7 +33,8 @@
   "openRouter": {
     "enabled": true,
     "apiKey": "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",
-    "embeddingModel": "qwen/qwen3-embedding-8b"
+    "embeddingModel": "qwen/qwen3-embedding-8b",
+    "llmModel": "qwen/qwen3-235b-a22b-2507"
   },
   "gdelt": {
     "source": "api",
diff --git a/intelligence/augorWorker.js b/intelligence/augorWorker.js
index 033949d..a1fe6b8 100644
--- a/intelligence/augorWorker.js
+++ b/intelligence/augorWorker.js
@@ -5,7 +5,7 @@ const { findMatchedCompaniesByEmbedding } = require("./embeddings");
 
 async function runAugorWorker(archiveDb, intelligenceDb, config) {
   const loopDelay = config.workers?.augorLoopDelayMs ?? 1500;
-  const llmConfig = config.llm || {};
+  const llmConfig = config.openRouter || {};
 
   const getPending = intelligenceDb.prepare(`
     SELECT * FROM article_queue WHERE status = 'pending' LIMIT 1
@@ -165,13 +165,12 @@ Only include claims directly supported by the articles. Use empty arrays if noth
 
 async function callLlm(llmConfig, prompt) {
   const body = JSON.stringify({
-    model: llmConfig.model || "gpt-4o-mini",
+    model: llmConfig.llmModel || llmConfig.model,
     messages: [{ role: "user", content: prompt }],
     temperature: 0.1,
   });
 
-  const baseUrl = llmConfig.baseUrl || "https://api.openai.com";
-  const url = new URL("/v1/chat/completions", baseUrl);
+  const url = new URL("https://openrouter.ai/api/v1/chat/completions");
 
   const responseText = await httpPost(url, body, {
     "Content-Type": "application/json",