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update augorWorker to use openRouter configuration and set llmModel in config

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ImBenji 2026-04-22 21:15:35 +01:00
parent 0fbdc21861
commit 17107047fe
2 changed files with 5 additions and 10 deletions
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8
config.json
View file

@ -1,11 +1,6 @@
{ {
"duriin_db": "./archive.sqlite", "duriin_db": "./archive.sqlite",
"intelligence_db": "./intelligence.sqlite", "intelligence_db": "./intelligence.sqlite",
"llm": {
"baseUrl": "https://openrouter.ai/api/v1",
"model": "qwen/qwen3-235b-a22b-2507",
"apiKey": "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"
},
"workers": { "workers": {
"relevanceBatchSize": 50, "relevanceBatchSize": 50,
"relevanceLoopDelayMs": 2000, "relevanceLoopDelayMs": 2000,
@ -38,7 +33,8 @@
"openRouter": { "openRouter": {
"enabled": true, "enabled": true,
"apiKey": "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", "apiKey": "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",
"embeddingModel": "qwen/qwen3-embedding-8b" "embeddingModel": "qwen/qwen3-embedding-8b",
"llmModel": "qwen/qwen3-235b-a22b-2507"
}, },
"gdelt": { "gdelt": {
"source": "api", "source": "api",

7
intelligence/augorWorker.js
View file

@ -5,7 +5,7 @@ const { findMatchedCompaniesByEmbedding } = require("./embeddings");
async function runAugorWorker(archiveDb, intelligenceDb, config) { async function runAugorWorker(archiveDb, intelligenceDb, config) {
const loopDelay = config.workers?.augorLoopDelayMs ?? 1500; const loopDelay = config.workers?.augorLoopDelayMs ?? 1500;
const llmConfig = config.llm || {}; const llmConfig = config.openRouter || {};
const getPending = intelligenceDb.prepare(` const getPending = intelligenceDb.prepare(`
SELECT * FROM article_queue WHERE status = 'pending' LIMIT 1 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) { async function callLlm(llmConfig, prompt) {
const body = JSON.stringify({ const body = JSON.stringify({
model: llmConfig.model || "gpt-4o-mini", model: llmConfig.llmModel || llmConfig.model,
messages: [{ role: "user", content: prompt }], messages: [{ role: "user", content: prompt }],
temperature: 0.1, temperature: 0.1,
}); });
const baseUrl = llmConfig.baseUrl || "https://api.openai.com"; const url = new URL("https://openrouter.ai/api/v1/chat/completions");
const url = new URL("/v1/chat/completions", baseUrl);
const responseText = await httpPost(url, body, { const responseText = await httpPost(url, body, {
"Content-Type": "application/json", "Content-Type": "application/json",