Changed model from llama to quen3 because llama was timing out due to token limit

This commit is contained in:
MikeHughes-BIN
2025-12-14 16:28:48 +01:00
parent 53508b175a
commit 746fec05d4
@@ -11,14 +11,14 @@ const SAIA_API_KEY = process.env.SAIA_API_KEY;
const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions";
const module_exports = {
name: "llm-saia_llama_3.3",
name: "qwen3-235b-a22b",
type: "llm",
displayname: "LLAMA",
description: "Generates documents using Llama 3.3 70B Instruct via SAIA platform",
displayname: "QWEN 3 235B",
description: "Generates documents using QWEN 3 235B via SAIA platform",
async function(parameter) {
try {
console.log("SAIA Llama 3.3 70B module invoked with parameters:", parameter);
console.log("SAIA QWEN 3 235B module invoked with parameters:", parameter);
await this.createDocumentFromTranscript(
parameter.inputTranscriptPath,
@@ -27,7 +27,7 @@ const module_exports = {
);
} catch (error) {
console.error("Error in SAIA Llama 3.3 70B module:", error);
console.error("Error in SAIA QWEN 3 235B module:", error);
}
},
@@ -46,7 +46,7 @@ const module_exports = {
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "llama-3.3-70b-instruct", // Korrekter Modellname!
model: "qwen3-235b-a22b", // Korrekter Modellname!
messages: [
{ role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
{ role: "user", content: promptText }
@@ -84,8 +84,8 @@ if (require.main === module) {
const args = process.argv.slice(2);
if (args.length < 2) {
console.error("Usage: node llm-llama-3.3.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node llm-llama-3.3.js ./transcript.json ./docType.json de");
console.error("Usage: node quen3.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node quen3.js ./transcript.json ./docType.json de");
process.exit(1);
}