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* ╔═══════════════════════════════════════════════════════════════════════════╗
* ║ NEURAL CHAT SERVICE ║
* ║═══════════════════════════════════════════════════════════════════════════║
* ║ Core service for agent-to-agent real-time communication ║
* ║ • Neo4j persistence for message history ║
* ║ • Channel management ║
* ║ • Thread support ║
* ╚═══════════════════════════════════════════════════════════════════════════╝
*/
import { v4 as uuidv4 } from 'uuid';
import { neo4jAdapter } from '../../adapters/Neo4jAdapter.js';
import {
ChatMessage,
Channel,
AgentId,
ChannelId,
MessageType,
MessagePriority,
DEFAULT_CHANNELS
} from './types.js';
class NeuralChatService {
private static instance: NeuralChatService;
private channels: Map<ChannelId, Channel> = new Map();
private initialized: boolean = false;
private constructor() {}
public static getInstance(): NeuralChatService {
if (!NeuralChatService.instance) {
NeuralChatService.instance = new NeuralChatService();
}
return NeuralChatService.instance;
}
async initialize(): Promise<void> {
if (this.initialized) return;
// Setup default channels
for (const channel of DEFAULT_CHANNELS) {
this.channels.set(channel.id, channel);
// Persist to Neo4j
await this.persistChannel(channel);
}
console.log('[NeuralChat] Service initialized');
this.initialized = true;
}
private async persistChannel(channel: Channel): Promise<void> {
try {
await neo4jAdapter.executeQuery(`
MERGE (c:Channel {id: $id})
SET c.name = $name,
c.description = $description,
c.members = $members,
c.created_at = $created_at,
c.is_private = $is_private
`, {
id: channel.id,
name: channel.name,
description: channel.description || '',
members: channel.members,
created_at: channel.created_at,
is_private: channel.is_private
});
} catch (error) {
console.warn('Failed to persist channel to Neo4j:', error);
}
}
async sendMessage(params: {
channel: ChannelId;
from: AgentId;
body: string;
type?: MessageType;
priority?: MessagePriority;
subject?: string;
to?: AgentId | AgentId[];
replyTo?: string;
mentions?: AgentId[];
}): Promise<ChatMessage> {
const message: ChatMessage = {
id: `msg-${uuidv4()}`,
channel: params.channel,
from: params.from,
to: params.to,
type: params.type || 'chat',
priority: params.priority || 'normal',
subject: params.subject,
body: params.body,
mentions: params.mentions || this.extractMentions(params.body),
replyTo: params.replyTo,
timestamp: new Date().toISOString(),
read_by: [params.from]
};
// Persist to Neo4j
await this.persistMessage(message);
console.log(`[NeuralChat] [${message.channel}] ${message.from}: ${message.body.substring(0, 50)}...`);
return message;
}
private extractMentions(body: string): AgentId[] {
const mentionRegex = /@(claude|gemini|deepseek|clak)/gi;
const matches = body.match(mentionRegex) || [];
return [...new Set(matches.map(m => m.slice(1).toLowerCase() as AgentId))];
}
private async persistMessage(message: ChatMessage): Promise<void> {
try {
await neo4jAdapter.executeQuery(`
CREATE (m:ChatMessage {
id: $id,
channel: $channel,
from_agent: $from,
to_agent: $to,
type: $type,
priority: $priority,
subject: $subject,
body: $body,
mentions: $mentions,
reply_to: $replyTo,
timestamp: $timestamp
})
WITH m
MATCH (c:Channel {id: $channel})
MERGE (c)-[:HAS_MESSAGE]->(m)
`, {
id: message.id,
channel: message.channel,
from: message.from,
to: Array.isArray(message.to) ? message.to.join(',') : (message.to || ''),
type: message.type,
priority: message.priority,
subject: message.subject || '',
body: message.body,
mentions: message.mentions || [],
replyTo: message.replyTo || '',
timestamp: message.timestamp
});
} catch (error) {
console.warn('Failed to persist message to Neo4j:', error);
}
}
async getMessages(params: {
channel?: ChannelId;
since?: string;
limit?: number;
agent?: AgentId;
}): Promise<ChatMessage[]> {
const limit = params.limit || 50;
let query = `
MATCH (m:ChatMessage)
WHERE 1=1
`;
const queryParams: Record<string, unknown> = { limit };
if (params.channel) {
query += ` AND m.channel = $channel`;
queryParams.channel = params.channel;
}
if (params.since) {
query += ` AND m.timestamp > $since`;
queryParams.since = params.since;
}
if (params.agent) {
query += ` AND (m.from_agent = $agent OR $agent IN m.mentions OR m.to_agent CONTAINS $agent)`;
queryParams.agent = params.agent;
}
query += ` RETURN m ORDER BY m.timestamp DESC LIMIT $limit`;
try {
const results = await neo4jAdapter.executeQuery(query, queryParams);
return results.map((r: any) => ({
id: r.m.properties.id,
channel: r.m.properties.channel,
from: r.m.properties.from_agent,
to: r.m.properties.to_agent,
type: r.m.properties.type,
priority: r.m.properties.priority,
subject: r.m.properties.subject,
body: r.m.properties.body,
mentions: r.m.properties.mentions,
replyTo: r.m.properties.reply_to,
timestamp: r.m.properties.timestamp
}));
} catch (error) {
console.warn('Failed to fetch messages from Neo4j:', error);
return [];
}
}
getChannels(): Channel[] {
return Array.from(this.channels.values());
}
getChannel(id: ChannelId): Channel | undefined {
return this.channels.get(id);
}
}
export const neuralChatService = NeuralChatService.getInstance();
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