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6 Commits

Author SHA1 Message Date
Hughes, Mike 1683502aa1 Merge branch 'develop' into 'feature/35-backend-llm-chat-gpt-integration-s4-10'
# Conflicts:
#   services/modules/llm-gemini/gemini.js
2025-12-15 14:07:32 +01:00
MikeHughes-BIN 789ecd3a31 Update document processing to use prompts from styles and add structured meeting report template 2025-12-15 14:01:51 +01:00
MikeHughes-BIN e72d03efbe Added Pre's Document in the correct Folder 2025-12-15 13:55:40 +01:00
MikeHughes-BIN ec57411992 Refactor document generation to output HTML format and update system instructions for clarity 2025-12-15 13:53:14 +01:00
MikeHughes-BIN 1e38cc79f4 Extended the Role description 2025-12-14 16:53:35 +01:00
MikeHughes-BIN 746fec05d4 Changed model from llama to quen3 because llama was timing out due to token limit 2025-12-14 16:28:48 +01:00
4 changed files with 306 additions and 32 deletions
+3 -3
View File
@@ -50,7 +50,7 @@ const module_exports = {
body: JSON.stringify({
model: "openai-gpt-oss-120b",
messages: [
{ role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
{ role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
{ role: "user", content: promptText }
],
temperature: 0
@@ -71,7 +71,7 @@ const module_exports = {
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file
console.log(inputTranscriptName);
const outPath = path.join(outputDir, `${inputTranscriptName}.md`); // Output file path & name to make naming dynamic. Pulled from input transcript name
const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // Output file path & name to make naming dynamic. Pulled from input transcript name
fs.writeFileSync(outPath, output, "utf8"); // Write output to file
console.log("Generated document written to:", outPath);
@@ -91,7 +91,7 @@ if (require.main === module) {
if (args.length < 2) {
console.error("Usage: node llm-openai-gpt.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node llm-openai-gpt.js ./transcript.json ./docType.json de");
console.error("Example: node llm-openai-gpt.js ./transcript.json ./docType.txt de");
process.exit(1);
}
+55 -5
View File
@@ -1,15 +1,17 @@
const outputDir = path.join(__dirname, "../../../storage/documents"); // path for output directory
const fs = require('fs');
const path = require('path');
const outputDir = path.join(__dirname, "../../../storage/documents"); // path for output directory
if (!fs.existsSync(outputDir)) {
fs.mkdirSync(outputDir, { recursive: true }); // Create output directory if it doesn't exist
}
// Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
const GEMINI_API_KEY = process.env.GOOGLE_API_KEY; // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
const GEMINI_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"; //URL for the REST call, used model and action
const GEMINI_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"; // URL for the REST call, used model and action
module.exports = {
const module_exports = {
name: "llm-gemini",
type: "llm",
displayname: "Gemini LLM",
@@ -81,4 +83,52 @@ module.exports = {
}
})
}
};
};
module.exports = module_exports;
// CLI Mode: Allow direct execution
if (require.main === module) {
(async () => {
const args = process.argv.slice(2);
if (args.length < 2) {
console.error("Usage: node llm-gemini.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node llm-gemini.js ./transcript.json ./docType.txt de");
process.exit(1);
}
const [transcriptPath, documentTypePath, language] = args;
// Check if API key is set
if (!GEMINI_API_KEY) {
console.error("ERROR: GOOGLE_API_KEY environment variable is not set!");
console.error("Please set it with: export GOOGLE_API_KEY='your_api_key_here'");
process.exit(1);
}
// Check if files exist
if (!fs.existsSync(transcriptPath)) {
console.error(`ERROR: Transcript file not found: ${transcriptPath}`);
process.exit(1);
}
if (!fs.existsSync(documentTypePath)) {
console.error(`ERROR: Document type file not found: ${documentTypePath}`);
process.exit(1);
}
console.log("Starting document generation...");
console.log(`Transcript: ${transcriptPath}`);
console.log(`Document Type: ${documentTypePath}`);
console.log(`Language: ${language || 'en (default)'}`);
await module_exports.createDocumentFromTranscript(
transcriptPath,
documentTypePath,
language || 'en'
);
console.log("Done!");
})();
}
@@ -1,41 +1,42 @@
const fs = require('fs');
const path = require('path');
const outputDir = path.join(__dirname, "../../../storage/documents");
const outputDir = path.join(__dirname, "../../../storage/documents"); // path for output directory
if (!fs.existsSync(outputDir)) {
fs.mkdirSync(outputDir, { recursive: true });
fs.mkdirSync(outputDir, { recursive: true }); // Create output directory if it doesn't exist
}
// Ensure SAIA API key is set in environment variables: export SAIA_API_KEY="your_api_key_here"
const SAIA_API_KEY = process.env.SAIA_API_KEY;
const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions";
const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions"; // URL for the REST call, used model and action
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,
parameter.documentTypePath,
parameter.language
await this.createDocumentFromTranscript( // Call the function to create document with transcript, document type and language
parameter.inputTranscriptPath, // Path to input transcript file
parameter.documentTypePath, // Path to document type file which is chosen in the front end by the user
parameter.language // Language for the document which is chosen in the front end by the user
);
} catch (error) {
console.error("Error in SAIA Llama 3.3 70B module:", error);
console.error("Error in SAIA QWEN 3 235B module:", error);
}
},
createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") {
createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
try {
const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
const transcript = await fs.promises.readFile(transcriptPath, "utf-8"); // read transcript file from Path
const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); // read document type from Path
const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`; // combine doc type, language and transcript - Change prompt here if needed
// --- REST CALL ---
const response = await fetch(SAIA_URL, {
@@ -46,28 +47,31 @@ const module_exports = {
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "llama-3.3-70b-instruct", // Korrekter Modellname!
model: "qwen3-235b-a22b",
messages: [
{ role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
{ role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
{ role: "user", content: promptText }
],
temperature: 0
})
});
if (!response.ok) {
if (!response.ok) { // ok is true when a response was successful
const text = await response.text();
throw new Error(`SAIA API error (${response.status}): ${text}`);
}
const data = await response.json();
// Get generated text from response or default to empty string (if null)
// SAIA uses OpenAI-compatible structure: data.choices[x].message.content
const output = data.choices?.[0]?.message?.content || "";
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath));
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file
console.log(inputTranscriptName);
const outPath = path.join(outputDir, `${inputTranscriptName}.md`);
fs.writeFileSync(outPath, output, "utf8");
const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // Output file path & name to make naming dynamic. Pulled from input transcript name
fs.writeFileSync(outPath, output, "utf8"); // Write output to file
console.log("Generated document written to:", outPath);
@@ -79,24 +83,27 @@ const module_exports = {
module.exports = module_exports;
// CLI Mode: Allow direct execution
if (require.main === module) {
(async () => {
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 qwen3.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node qwen3.js ./transcript.json ./docType.txt de");
process.exit(1);
}
const [transcriptPath, documentTypePath, language] = args;
// Check if API key is set
if (!SAIA_API_KEY) {
console.error("ERROR: SAIA_API_KEY environment variable is not set!");
console.error("Please set it with: export SAIA_API_KEY='your_api_key_here'");
process.exit(1);
}
// Check if files exist
if (!fs.existsSync(transcriptPath)) {
console.error(`ERROR: Transcript file not found: ${transcriptPath}`);
process.exit(1);
@@ -0,0 +1,217 @@
Generate a structured meeting report in HTML using STRUCTURE and STYLE.
Output ONLY the final .md document — no meta comments, no explanations.
Follow exactly the STRUCTURE defined below.
Follow exactly the STYLE rules.
Use timestamps in HH:MM:SS format.
If information is missing, use: Unclear:<reason>.
==================== STRUCTURE & RULES ====================
{
"FORMAT": "HTML",
"STRUCTURE": {
"titlepage": [
"title",
"date",
"start",
"end",
"duration",
"location",
"host",
"participants"
],
"toc": "[section](#anchor) — HH:MM:SS",
"section": {
"h2": "<topic> — HH:MM:SS",
"summary": "exactly 1 concise sentence",
"key_points": "maximum 5 bullet points; quotes optional",
"decisions": "list items formatted as: decision text | owner | due date",
"actions": "HTML table: id | task | owner | due | status"
},
"exec_summary": "exactly 3 short sentences",
"consolidated": [
"decisions",
"actions"
],
"appendix": "optional"
},
"STYLE": {
"tone": "neutral, concise, professional",
"ts_format": "HH:MM:SS",
"no_meta": true
},
"PROCESS": {
"timestamps": "use transcript timestamps if present; otherwise estimate minimal",
"speakers": "use names if available; else Speaker X",
"long_transcripts": "split → summarize → merge",
"unclear": "Unclear:<reason>"
},
"PROMPT_SNIPPET": "Generate meeting report in HTML using STRUCTURE and STYLE. Output only the report."
}
============================================================
Insert all generated content into the following HTML TEMPLATE:
# {{title}}
**Date:** {{date}}
**Start:** {{start}}
**End:** {{end}}
**Duration:** {{duration}}
**Location:** {{location}}
**Host:** {{host}}
**Participants:** {{participants}}
---
## Table of Contents
{{toc}}
---
Generate a structured meeting report in HTML using STRUCTURE and STYLE.
Output ONLY the final .md document — no meta comments, no explanations.
Follow exactly the STRUCTURE defined below.
Follow exactly the STYLE rules.
Use timestamps in HH:MM:SS format.
If information is missing, use: UNKLAR:<reason>.
==================== STRUCTURE & RULES ====================
{
"FORMAT": "HTML",
"STRUCTURE": {
"titlepage": [
"title",
"date",
"start",
"end",
"duration",
"location",
"host",
"participants"
],
"toc": "[section](#anchor) — HH:MM:SS",
"section": {
"h2": "<topic> — HH:MM:SS",
"summary": "exactly 1 concise sentence",
"key_points": "maximum 5 bullet points; quotes optional",
"decisions": "list items formatted as: decision text | owner | due date",
"actions": "HTML table: id | task | owner | due | status"
},
"exec_summary": "exactly 3 short sentences",
"consolidated": [
"decisions",
"actions"
],
"appendix": "optional"
},
"STYLE": {
"tone": "neutral, concise, professional",
"ts_format": "HH:MM:SS",
"no_meta": true
},
"PROCESS": {
"timestamps": "use transcript timestamps if present; otherwise estimate minimal",
"speakers": "use names if available; else Speaker X",
"long_transcripts": "split → summarize → merge",
"unclear": "UNKLAR:<reason>"
},
"PROMPT_SNIPPET": "Generate meeting report in HTML using STRUCTURE and STYLE. Output only the report."
}
============================================================
Insert all generated content into the following HTML TEMPLATE:
# {{title}}
**Date:** {{date}}
**Start:** {{start}}
**End:** {{end}}
**Duration:** {{duration}}
**Location:** {{location}}
**Host:** {{host}}
**Participants:** {{participants}}
---
## Table of Contents
{{toc}}
---
## Executive Summary
{{exec_summary}}
---
## Sections
{{sections}}
---
## Consolidated Decisions
{{consolidated_decisions}}
---
## Consolidated Actions
{{consolidated_actions}}
---
## Appendix
{{appendix}}
============================================================
Final Requirement:
Output ONLY the completed HTML meeting report.
## Executive Summary
{{exec_summary}}
---
## Sections
{{sections}}
---
## Consolidated Decisions
{{consolidated_decisions}}
---
## Consolidated Actions
{{consolidated_actions}}
---
## Appendix
{{appendix}}
============================================================
Final Requirement:
Output ONLY the completed HTML meeting report.