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refactoring and clean up

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This commit is contained in:
Storme-bit
2026-04-07 01:30:35 -07:00
parent 0aea052311
commit 2b75f75733
18 changed files with 191 additions and 115 deletions
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11
packages/embedding-service/src/index.js
View File

@@ -1,16 +1,13 @@
require ('dotenv').config();
const express = require('express');
const {getEnv} = require('@nexusai/shared');
const {getEnv, OLLAMA, PORTS} = require('@nexusai/shared');
const app = express();
app.use(express.json());
const PORT = getEnv('PORT', '3003'); // Default to 3003 if PORT is not set
const OLLAMA_URL = getEnv('OLLAMA_URL', 'http://localhost:11434'); // URL for Ollama API
const EMBED_MODEL = getEnv('EMBEDDING_MODEL', 'nomic-embed-text'); // Ollama model for embeddings
console.log('OLLAMA_URL:', OLLAMA_URL);
console.log('EMBED_MODEL:', EMBED_MODEL);
const PORT = getEnv('PORT', PORTS.EMBEDDING); // Default to 3003 if PORT is not set
const OLLAMA_URL = getEnv('OLLAMA_URL', OLLAMA.DEFAULT_URL); // URL for Ollama API
const EMBED_MODEL = getEnv('EMBEDDING_MODEL', OLLAMA.EMBED_MODEL); // Ollama model for embeddings
//OLLAMA embedding helper function
async function embedText(text) {

10
packages/inference-service/src/index.js
View File

@@ -1,20 +1,22 @@
require ('dotenv').config();
const express = require('express');
const {getEnv} = require('@nexusai/shared');
const {getEnv, PORTS, OLLAMA} = require('@nexusai/shared');
const inferenceRouter = require('./routes/inference');
const app = express();
app.use(express.json());
const PORT = getEnv('PORT', '3001'); // Default to 3001 if PORT is not set
const PORT = getEnv('PORT', PORTS.INFERENCE);
const PROVIDER = getEnv('INFERENCE_PROVIDER', 'ollama');
const MODEL = getEnv('DEFAULT_MODEL', OLLAMA.OLLAMA_MODEL)
// Health check endpoint
app.get('/health', (req, res) => {
res.json({
service: 'Inference Service',
status: 'healthy',
provider: getEnv('INFERENCE_PROVIDER', 'ollama'),
model: getEnv('DEFAULT_MODEL', 'llama3.2')
provider: PROVIDER,
model: MODEL
});
});

27
packages/inference-service/src/providers/llamacpp.js
View File

@@ -1,15 +1,32 @@
const { getEnv } = require('@nexusai/shared');
const { getEnv, LLAMACPP, INFERENCE_DEFAULTS } = require('@nexusai/shared');
const BASE_URL = getEnv('INFERENCE_URL', 'http://localhost:8080');
const DEFAULT_MODEL = getEnv('DEFAULT_MODEL', 'local-model');
const BASE_URL = getEnv('INFERENCE_URL', LLAMACPP.DEFAULT_URL);
const DEFAULT_MODEL = getEnv('DEFAULT_MODEL', LLAMACPP.DEFAULT_MODEL);
function resolveOptions(options) {
return {
temperature: options.temperature ?? INFERENCE_DEFAULTS.TEMPERATURE,
maxTokens: options.maxTokens ?? INFERENCE_DEFAULTS.MAX_TOKENS,
topP: options.topP ?? INFERENCE_DEFAULTS.TOP_P,
topK: options.topK ?? INFERENCE_DEFAULTS.TOP_K,
repeatPenalty: options.repeatPenalty ?? INFERENCE_DEFAULTS.REPEAT_PENALTY,
seed: options.seed ?? INFERENCE_DEFAULTS.SEED,
};
}
function buildPayload(prompt, options, stream = false){
const opts = resolveOptions(options);
return {
model: options.model || DEFAULT_MODEL,
messages: [{ role: 'user', content: prompt }],
temperature: options.temperature ?? 0.7,
max_tokens: options.num_predict ?? 1024,
temperature: opts.temperature,
max_tokens: opts.maxTokens,
top_p: opts.topP,
top_k: opts.topK,
repeat_penalty: opts.repeatPenalty,
stream,
...(opts.seed !== null && { seed: opts.seed }),
};
}

34
packages/inference-service/src/providers/ollama.js
View File

@@ -1,17 +1,33 @@
const { Ollama } = require('ollama');
const { getEnv } = require('@nexusai/shared');
const { getEnv, OLLAMA, INFERENCE_DEFAULTS } = require('@nexusai/shared');
const client = new Ollama({ host: getEnv('INFERENCE_URL', 'http://localhost:11434') });
const DEFAULT_MODEL = getEnv('DEFAULT_MODEL', 'companion:latest');
const client = new Ollama({ host: getEnv('INFERENCE_URL', OLLAMA.DEFAULT_URL) });
const DEFAULT_MODEL = getEnv('DEFAULT_MODEL', OLLAMA.OLLAMA_MODEL);
function resolveOptions(options){
return {
temperature: options.temperature ?? INFERENCE_DEFAULTS.TEMPERATURE,
maxTokens: options.maxTokens ?? INFERENCE_DEFAULTS.MAX_TOKENS,
topP: options.topP ?? INFERENCE_DEFAULTS.TOP_P,
topK: options.topK ?? INFERENCE_DEFAULTS.TOP_K,
repeatPenalty: options.repeatPenalty ?? INFERENCE_DEFAULTS.REPEAT_PENALTY,
seed: options.seed ?? INFERENCE_DEFAULTS.SEED,
}
}
async function complete(prompt, options = {} ) {
const opts = resolveOptions(options);
const response = await client.generate({
model: options.model || DEFAULT_MODEL,
prompt,
stream: false,
options: {
temperature: options.temperature ?? 0.7,
num_predict: options.maxTokens ?? 1024,
temperature: opts.temperature,
num_predict: opts.maxTokens,
top_p: opts.topP,
top_k: opts.topK,
repeat_penalty: opts.repeatPenalty,
...(opts.seed !== null && { seed: opts.seed }),
}
});
@@ -25,12 +41,18 @@ async function complete(prompt, options = {} ) {
}
async function* completeStream(prompt, options = {} ) {
const opts = resolveOptions(options);
const stream = await client.generate({
model: options.model || DEFAULT_MODEL,
prompt,
stream: true,
options:{
temperature: options.temperature ?? 0.7,
temperature: opts.temperature,
num_predict: opts.maxTokens,
top_p: opts.topP,
top_k: opts.topK,
repeat_penalty: opts.repeatPenalty,
...(opts.seed !== null && { seed: opts.seed }),
},
});

4
packages/memory-service/src/db/index.js
View File

@@ -1,12 +1,12 @@
const Database = require('better-sqlite3');
const schema = require('./schema');
const {getEnv } = require('@nexusai/shared');
const {getEnv, SQLITE } = require('@nexusai/shared');
let db; // Declare db variable in a scope accessible to all functions
function getDB() {
if (!db) {
const path = getEnv('SQLITE_PATH', './data/nexusai.db');
const path = getEnv('SQLITE_PATH', SQLITE.DEFAULT_PATH);
db = new Database(path);
db.pragma('journal_mode = WAL');

29
packages/memory-service/src/entities/index.js
View File

@@ -1,4 +1,5 @@
const {getDB} = require('../db');
const { parseRow } = require ('@nexusai/shared')
/******* Entities ********/
@@ -21,13 +22,13 @@ function upsertEntity(name, type, notes = null, metadata = null) {
// Get an entity by its ID
function getEntity(id) {
const db = getDB();
return parseEntity(db.prepare(`SELECT * FROM entities WHERE id = ?`).get(id));
return parseRow(db.prepare(`SELECT * FROM entities WHERE id = ?`).get(id));
}
// Get all entities of a given type
function getEntitiesByType(type) {
const db = getDB();
return db.prepare(`SELECT * FROM entities WHERE type = ? ORDER BY name`).all(type).map(parseEntity);
return db.prepare(`SELECT * FROM entities WHERE type = ? ORDER BY name`).all(type).map(parseRow);
}
// Delete an entity by ID, cascades to delete relationships involving this entity
@@ -55,7 +56,7 @@ function upsertRelationship(fromId, toId, label, metadata = null){
function getRelationship(fromId, toId, label) {
const db = getDB();
return parseRelationship(
return parseRow(
db.prepare(`SELECT * FROM relationships WHERE from_id = ? AND to_id = ? AND label = ?`)
.get(fromId, toId, label)
);
@@ -64,13 +65,13 @@ function getRelationship(fromId, toId, label) {
// Retrieves an entity by its unique (name, type) combination
function getEntityByNameType(name, type) {
const db = getDB();
return parseEntity(db.prepare(`SELECT * FROM entities WHERE name = ? AND type = ?`).get(name, type));
return parseRow(db.prepare(`SELECT * FROM entities WHERE name = ? AND type = ?`).get(name, type));
}
// Retrive all relationships originating from a given entity
function getRelationshipsByEntity(entityId) {
const db = getDB();
return db.prepare(`SELECT * FROM relationships WHERE from_id = ?`).all(entityId).map(parseRelationship);
return db.prepare(`SELECT * FROM relationships WHERE from_id = ?`).all(entityId).map(parseRow);
}
// Delete a specific relationship by (from_id, to_id, label)
@@ -80,24 +81,6 @@ function deleteRelationship(fromId, toId, label) {
db.prepare(`DELETE FROM relationships WHERE from_id = ? AND to_id = ? AND label = ?`).run(fromId, toId, label);
}
/*********** Parse Functions ***********/
function parseEntity(row) {
if (!row) return null;
return {
...row,
metadata: row.metadata ? JSON.parse(row.metadata) : null
};
}
function parseRelationship(row) {
if (!row) return null;
return {
...row,
metadata: row.metadata ? JSON.parse(row.metadata) : null
};
}
module.exports = {
upsertEntity,
getEntity,

36
packages/memory-service/src/episodic/index.js
View File

@@ -1,5 +1,5 @@
const {getDB} = require('../db');
const { EPISODIC, getEnv, SERVICES } = require('@nexusai/shared');
const { EPISODIC, getEnv, SERVICES, parseRow, formatEpisodeText } = require('@nexusai/shared');
const semantic = require('../semantic');
// --Sessions --------------------------------------------------
@@ -20,7 +20,7 @@ function createSession(externalId, metadata = null) {
function getSession(id) {
const db = getDB();
const stmt = db.prepare(`SELECT * FROM sessions WHERE id = ?`);
return parseSession(stmt.get(id));
return parseRow(stmt.get(id));
}
function getSessions(limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = 0) {
@@ -30,14 +30,14 @@ function getSessions(limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = 0) {
ORDER BY updated_at DESC
LIMIT ? OFFSET ?
`);
return stmt.all(limit, offset).map(parseSession);
return stmt.all(limit, offset).map(parseRow);
}
// Retrieves a session by its external ID
function getSessionByExternalId(externalId) {
const db = getDB();
const stmt = db.prepare(`SELECT * FROM sessions WHERE external_id = ?`);
return parseSession(stmt.get(externalId));
return parseRow(stmt.get(externalId));
}
// Updates the updated_at timestamp of a session to the current time
@@ -103,7 +103,7 @@ function getEpisodesBySession(sessionId, limit = EPISODIC.DEFAULT_PAGE_SIZE, off
ORDER BY created_at DESC
LIMIT ? OFFSET ?
`);
return stmt.all(sessionId, limit, offset).map(parseEpisode);
return stmt.all(sessionId, limit, offset).map(parseRow);
}
// Retrieves recent episodes across all sessions, ordered by creation time descending, with a limit
@@ -115,7 +115,7 @@ function getRecentEpisodes(limit = EPISODIC.DEFAULT_RECENT_LIMIT) {
ORDER BY created_at DESC
LIMIT ?
`);
return stmt.all(limit).map(parseEpisode);
return stmt.all(limit).map(parseRow);
}
@@ -130,7 +130,7 @@ function searchEpisodes(query, limit = EPISODIC.DEFAULT_SEARCH_LIMIT) {
ORDER BY rank
LIMIT ?
`);
return stmt.all(query, limit).map(parseEpisode);
return stmt.all(query, limit).map(parseRow);
}
// Deletes an episode by its ID
@@ -139,32 +139,12 @@ function deleteEpisode(id) {
db.prepare(`DELETE FROM episodes WHERE id = ?`).run(id);
}
// ─── Parsers ──────────────────────────────────────────────────────────────────
// Parse JSON metadata back out on the way up — stored as string, returned as object
function parseSession(row) {
if (!row) return null;
return {
...row,
metadata: row.metadata ? JSON.parse(row.metadata) : null
};
}
// Parse JSON metadata back out on the way up — stored as string, returned as object
function parseEpisode(row) {
if (!row) return null;
return {
...row,
metadata: row.metadata ? JSON.parse(row.metadata) : null
};
}
/******** Embedding Helper ********/
async function getEpisodeEmbedding(userMessage, aiResponse){
const url = getEnv('EMBEDDING_SERVICE_URL', SERVICES.EMBEDDING_URL);
//Combine user message and AI response for embedding
const text = `User: ${userMessage}\nAssistant: ${aiResponse}`;
const text = formatEpisodeText(userMessage, aiResponse);
const res = await fetch(`${url}/embed`, {
method: 'POST',

11
packages/memory-service/src/index.js
View File

@@ -1,7 +1,8 @@
require ('dotenv').config();
const express = require('express');
const {getEnv} = require('@nexusai/shared');
const {getEnv, PORTS, EPISODIC} = require('@nexusai/shared');
const { getDB } = require('./db');
const episodic = require('./episodic');
const semantic = require('./semantic');
const entities = require('./entities');
@@ -9,7 +10,7 @@ const entities = require('./entities');
const app = express();
app.use(express.json());
const PORT = getEnv('PORT', '3002'); // Default to 3002 if PORT is not set
const PORT = getEnv('PORT', PORTS.MEMORY);
//initialize database on startup
const db = getDB();
@@ -42,7 +43,7 @@ app.post('/sessions', (req, res) => {
});
app.get('/sessions', (req, res) => {
const {limit = 20, offset = 0 } = req.query;
const {limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = EPISODIC.DEFAULT_OFFSET } = req.query;
const sessions = episodic.getSessions(Number(limit), Number(offset));
res.json(sessions);
})
@@ -88,7 +89,7 @@ app.post('/episodes', async (req, res) => {
// Search MUST come before /:id — otherwise 'search' gets captured as an id
app.get('/episodes/search', (req, res) => {
const { q, limit = 10 } = req.query;
const { q, limit = EPISODIC.DEFAULT_PAGE_SIZE } = req.query;
if (!q) return res.status(400).json({ error: 'q (query) parameter is required' });
const results = episodic.searchEpisodes(q, Number(limit));
res.json(results);
@@ -102,7 +103,7 @@ app.get('/episodes/:id', (req, res) => {
// Get paginated episodes for a session
app.get('/sessions/:id/episodes', (req, res) => {
const { limit = 10, offset = 0 } = req.query;
const { limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = EPISODIC.DEFAULT_OFFSET } = req.query;
const episodes = episodic.getEpisodesBySession(
req.params.id,
Number(limit),

9
packages/orchestration-service/src/chat/index.js
View File

@@ -2,14 +2,9 @@ const memory = require('../services/memory');
const inference = require('../services/inference');
const embedding = require('../services/embedding');
const qdrant = require('../services/qdrant');
const { ORCHESTRATION } = require('@nexusai/shared')
const SYSTEM_PROMPT = `You are a helpful, context-aware AI assistant.
You have access to memories of past conversations with the user.
Use them to provide consistent, personalised responses.`;
const RECENT_EPISODE_LIMIT = 5; // Number of recent episodes to retrieve for context
const SEMANTIC_LIMIT = 5;
const SCORE_THRESHOLD = 0.75;
const { RECENT_EPISODE_LIMIT, SEMANTIC_LIMIT, SCORE_THRESHOLD, SYSTEM_PROMPT } = ORCHESTRATION;
function buildPrompt(recentEpisodes, semanticEpisodes, userMessage) {
const parts = [SYSTEM_PROMPT];

23
packages/orchestration-service/src/index.js
View File

@@ -1,6 +1,6 @@
require ('dotenv').config();
const express = require('express');
const {getEnv} = require('@nexusai/shared');
const {getEnv, PORTS, SERVICES, ORCHESTRATION} = require('@nexusai/shared');
const chatRouter = require('./routes/chat');
const sessionsRouter = require('./routes/sessions');
const cors = require('cors');
@@ -8,25 +8,28 @@ const cors = require('cors');
const app = express();
app.use(express.json());
const PORT = getEnv('PORT', '4000'); // Default to 4000 if PORT is not set
app.use(cors({
origin: [
getEnv('CORS_ORIGIN', 'http://localhost:5173'),
'http://localhost:5173',
getEnv('CORS_ORIGIN', ORCHESTRATION.CORS_ORIGIN),
ORCHESTRATION.CORS_ORIGIN,
],
methods: ['GET', 'POST', 'DELETE'],
allowedHeaders: ['Content-Type'],
}))
const PORT = getEnv('PORT', PORTS.ORCHESTRATION);
const MEMORY_URL = getEnv('MEMORY_SERVICE_URL', SERVICES.MEMORY_URL);
const EMBEDDING_URL = getEnv('EMBEDDING_SERVICE_URL', SERVICES.EMBEDDING_URL);
const INFERENCE_URL = getEnv('INFERENCE_SERVICE_URL', SERVICES.INFERENCE_URL);
// Health check endpoint
app.get('/health', (req, res) => {
res.json({
service: 'Orchestration Service',
status: 'healthy',
memoryService: getEnv('MEMORY_SERVICE_URL', 'http://localhost:3002'),
embeddingService: getEnv('EMBEDDING_SERVICE_URL', 'http://localhost:3003'),
inferenceService: getEnv('INFERENCE_SERVICE_URL', 'http://localhost:3001'),
service: 'Orchestration Service',
status: 'healthy',
memoryService: MEMORY_URL,
embeddingService: EMBEDDING_URL,
inferenceService: INFERENCE_URL,
});
});

5
packages/orchestration-service/src/routes/sessions.js
View File

@@ -1,11 +1,12 @@
const { Router } = require('express');
const memory = require('../services/memory');
const { EPISODIC } = require('@nexusai/shared');
const router = Router();
router.get('/:sessionId/history', async (req, res) => {
const { sessionId } = req.params;
const { limit = 20, offset = 0 } = req.query;
const { limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = EPISODIC.DEFAULT_OFFSET } = req.query;
try {
const session = await memory.getSessionByExternalId(sessionId);
@@ -19,7 +20,7 @@ router.get('/:sessionId/history', async (req, res) => {
});
router.get('/', async (req, res) => {
const {limit = 20, offset = 0 } = req.query;
const { limit = EPISODIC.DEFAULT_PAGE_SIZE, offset = EPISODIC.DEFAULT_OFFSET } = req.query;
try {
const sessions = await memory.getSessions(Number(limit), Number(offset));
res.json(sessions);

5
packages/orchestration-service/src/services/inference.js
View File

@@ -1,7 +1,6 @@
const fetch = require('node-fetch');
const { getEnv } = require('@nexusai/shared');
const { getEnv, SERVICES } = require('@nexusai/shared');
const BASE_URL = getEnv('INFERENCE_SERVICE_URL', 'http://localhost:3001');
const BASE_URL = getEnv('INFERENCE_SERVICE_URL', SERVICES.INFERENCE_URL);
async function complete(prompt, options ={}) {
const res = await fetch(`${BASE_URL}/complete`, {

13
packages/orchestration-service/src/services/memory.js
View File

@@ -1,7 +1,6 @@
const fetch = require('node-fetch');
const { getEnv } = require('@nexusai/shared');
const { getEnv, SERVICES, EPISODIC } = require('@nexusai/shared');
const BASE_URL = getEnv('MEMORY_SERVICE_URL', 'http://localhost:3002');
const BASE_URL = getEnv('MEMORY_SERVICE_URL', SERVICES.MEMORY_URL);
//function to get session by external id, returns null if not found, throws error for other issues
async function getSessionByExternalId(externalId) {
@@ -24,7 +23,7 @@ async function createSession(externalId) {
return res.json();
}
async function getRecentEpisodes(sessionId, limit = 10) {
async function getRecentEpisodes(sessionId, limit = EPISODIC.DEFAULT_SESSIONS_LIMIT) {
const res = await fetch(`${BASE_URL}/sessions/${sessionId}/episodes?limit=${limit}`);
if (!res.ok) throw new Error(`Failed to fetch episodes: ${res.status} ${res.statusText}`);
return res.json();
@@ -47,7 +46,7 @@ async function getEpisodeById(episodeId) {
return res.json();
}
async function getSessionHistory(sessionId, limit = 20, offset = 0) {
async function getSessionHistory(sessionId, limit = EPISODIC.DEFAULT_SESSIONS_LIMIT, offset = EPISODIC.DEFAULT_OFFSET) {
const res = await fetch(
`${BASE_URL}/sessions/${sessionId}/episodes?limit=${limit}&offset=${offset}`
);
@@ -56,9 +55,9 @@ async function getSessionHistory(sessionId, limit = 20, offset = 0) {
return res.json();
}
async function getSessions(limit = 20, offset = 0) {
async function getSessions(limit = EPISODIC.DEFAULT_SESSIONS_LIMIT, offset = EPISODIC.DEFAULT_OFFSET) {
const res = await fetch(
`${BASE_URL}/sessions?limit${limit}&offset=${offset}`
`${BASE_URL}/sessions?limit=${limit}&offset=${offset}`
);
if (!res.ok) throw new Error(`Failed to fetch sessions: ${res.status}`);
return res.json();

4
packages/orchestration-service/src/services/qdrant.js
View File

@@ -1,8 +1,8 @@
const {getEnv, QDRANT, COLLECTIONS } = require('@nexusai/shared')
const {getEnv, QDRANT, COLLECTIONS, ORCHESTRATION } = require('@nexusai/shared')
const BASE_URL = getEnv('QDRANT_URL', QDRANT.DEFAULT_URL);
async function searchEpisodes( vector, {limit = 5, scoreThreshold = 0.75, sessionId } = {}) {
async function searchEpisodes( vector, {limit = ORCHESTRATION.RECENT_EPISODE_LIMIT, scoreThreshold = ORCHESTRATION.SCORE_THRESHOLD, sessionId } = {}) {
const body = {vector, limit, score_threshold: scoreThreshold, with_payload: true};
if (sessionId) {

53
packages/shared/src/config/constants.js
View File

@@ -17,15 +17,64 @@ const EPISODIC = {
DEFAULT_RECENT_LIMIT: 10, // Default number of recent episodes to retrieve
DEFAULT_PAGE_SIZE: 20, // Default number of episodes per page for pagination
DEFAULT_SEARCH_LIMIT: 10, // Default number of search results to return
DEFAULT_OFFSET: 0,
DEFAULT_SESSIONS_LIMIT: 20,
};
const ORCHESTRATION = {
RECENT_EPISODE_LIMIT: 5,
SEMANTIC_LIMIT: 5,
SCORE_THRESHOLD: 0.75,
CORS_ORIGIN: 'http://localhost:5173',
SYSTEM_PROMPT: `You are a helpful, context-aware AI assistant. You have access to memories of past conversations with the user. Use them to provide consistent, personalised responses.`
}
const OLLAMA = {
DEFAULT_URL: 'http://localhost:11434',
EMBED_MODEL: 'nomic-embed-text',
OLLAMA_MODEL: 'companion:latest',
};
const LLAMACPP = {
DEFAULT_URL: 'http://localhost:8080',
DEFAULT_MODEL: 'local-model',
}
const PORTS = {
INFERENCE: '3001',
MEMORY: '3002',
EMBEDDING: '3003',
ORCHESTRATION: '4000',
};
const SERVICES = {
EMBEDDING_URL: 'http://localhost:3003'
EMBEDDING_URL: `http://localhost:${PORTS.EMBEDDING}`,
MEMORY_URL: `http://localhost:${PORTS.MEMORY}`,
INFERENCE_URL: `http://localhost:${PORTS.INFERENCE}`,
};
const INFERENCE_DEFAULTS = {
TEMPERATURE: 0.7, // Controls randomness. 0 = deterministic, 1 = creative
MAX_TOKENS: 1024, // Max tokens to generate in a response
TOP_P: 0.9, // Nucleus sampling — considers tokens comprising top 90% probability mass
TOP_K: 40, // Limits token selection to top K candidates at each step
REPEAT_PENALTY: 1.1, // Penalizes recently used tokens to reduce repetition
SEED: null, // null = random. Set to an integer for reproducible outputs
};
const SQLITE = {
DEFAULT_PATH: './data/nexusai.db'
}
module.exports = {
QDRANT,
COLLECTIONS,
EPISODIC,
SERVICES
SERVICES,
OLLAMA,
PORTS,
LLAMACPP,
INFERENCE_DEFAULTS,
SQLITE,
ORCHESTRATION
};

19
packages/shared/src/index.js
View File

@@ -1,4 +1,19 @@
const {getEnv} = require('./config/env');
const {QDRANT, COLLECTIONS, EPISODIC, SERVICES } = require('./config/constants');
const {QDRANT, COLLECTIONS, EPISODIC, SERVICES, OLLAMA, PORTS, LLAMACPP, INFERENCE_DEFAULTS, SQLITE, ORCHESTRATION } = require('./config/constants');
const {parseRow, formatEpisodeText} = require('./utils')
module.exports = {getEnv, QDRANT, COLLECTIONS, EPISODIC, SERVICES};
module.exports = {
getEnv,
QDRANT,
COLLECTIONS,
EPISODIC,
SERVICES,
OLLAMA,
PORTS,
LLAMACPP,
INFERENCE_DEFAULTS,
SQLITE,
ORCHESTRATION,
parseRow,
formatEpisodeText,
};

13
packages/shared/src/utils.js Normal file
View File

@@ -0,0 +1,13 @@
function parseRow(row) {
if (!row) return null;
return {
...row,
metadata: row.metadata ? JSON.parse(row.metadata) : null
};
}
function formatEpisodeText(userMessage, aiResponse) {
return `User: ${userMessage}\nAssistant: ${aiResponse}`;
}
module.exports = { parseRow, formatEpisodeText };

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packages/source.zip Normal file
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