feat(Phase 4): Memory & Intelligence — memory, log, summarization, skills (#91)

Co-authored-by: Jason Woltje <jason@diversecanvas.com>
Co-committed-by: Jason Woltje <jason@diversecanvas.com>
This commit was merged in pull request #91.
This commit is contained in:
2026-03-13 13:56:50 +00:00
committed by jason.woltje
parent d83ebe65e9
commit 9eb48e1d9b
35 changed files with 1481 additions and 16 deletions

View File

@@ -18,6 +18,8 @@
"@mosaic/brain": "workspace:^",
"@mosaic/coord": "workspace:^",
"@mosaic/db": "workspace:^",
"@mosaic/log": "workspace:^",
"@mosaic/memory": "workspace:^",
"@mosaic/types": "workspace:^",
"@nestjs/common": "^11.0.0",
"@nestjs/core": "^11.0.0",
@@ -34,6 +36,7 @@
"@sinclair/typebox": "^0.34.48",
"better-auth": "^1.5.5",
"fastify": "^5.0.0",
"node-cron": "^4.2.1",
"reflect-metadata": "^0.2.0",
"rxjs": "^7.8.0",
"socket.io": "^4.8.0",
@@ -41,6 +44,7 @@
},
"devDependencies": {
"@types/node": "^22.0.0",
"@types/node-cron": "^3.0.11",
"@types/uuid": "^10.0.0",
"tsx": "^4.0.0",
"typescript": "^5.8.0",

View File

@@ -7,11 +7,15 @@ import {
type ToolDefinition,
} from '@mariozechner/pi-coding-agent';
import type { Brain } from '@mosaic/brain';
import type { Memory } from '@mosaic/memory';
import { BRAIN } from '../brain/brain.tokens.js';
import { MEMORY } from '../memory/memory.tokens.js';
import { EmbeddingService } from '../memory/embedding.service.js';
import { CoordService } from '../coord/coord.service.js';
import { ProviderService } from './provider.service.js';
import { createBrainTools } from './tools/brain-tools.js';
import { createCoordTools } from './tools/coord-tools.js';
import { createMemoryTools } from './tools/memory-tools.js';
import type { SessionInfoDto } from './session.dto.js';
export interface AgentSessionOptions {
@@ -42,9 +46,15 @@ export class AgentService implements OnModuleDestroy {
constructor(
@Inject(ProviderService) private readonly providerService: ProviderService,
@Inject(BRAIN) private readonly brain: Brain,
@Inject(MEMORY) private readonly memory: Memory,
@Inject(EmbeddingService) private readonly embeddingService: EmbeddingService,
@Inject(CoordService) private readonly coordService: CoordService,
) {
this.customTools = [...createBrainTools(brain), ...createCoordTools(coordService)];
this.customTools = [
...createBrainTools(brain),
...createCoordTools(coordService),
...createMemoryTools(memory, embeddingService.available ? embeddingService : null),
];
this.logger.log(`Registered ${this.customTools.length} custom tools`);
}

View File

@@ -0,0 +1,158 @@
import { Type } from '@sinclair/typebox';
import type { ToolDefinition } from '@mariozechner/pi-coding-agent';
import type { Memory } from '@mosaic/memory';
import type { EmbeddingProvider } from '@mosaic/memory';
export function createMemoryTools(
memory: Memory,
embeddingProvider: EmbeddingProvider | null,
): ToolDefinition[] {
const searchMemory: ToolDefinition = {
name: 'memory_search',
label: 'Search Memory',
description:
'Search across stored insights and knowledge using natural language. Returns semantically similar results.',
parameters: Type.Object({
userId: Type.String({ description: 'User ID to search memory for' }),
query: Type.String({ description: 'Natural language search query' }),
limit: Type.Optional(Type.Number({ description: 'Max results (default 5)' })),
}),
async execute(_toolCallId, params) {
const { userId, query, limit } = params as {
userId: string;
query: string;
limit?: number;
};
if (!embeddingProvider) {
return {
content: [
{
type: 'text' as const,
text: 'Semantic search unavailable — no embedding provider configured',
},
],
details: undefined,
};
}
const embedding = await embeddingProvider.embed(query);
const results = await memory.insights.searchByEmbedding(userId, embedding, limit ?? 5);
return {
content: [{ type: 'text' as const, text: JSON.stringify(results, null, 2) }],
details: undefined,
};
},
};
const getPreferences: ToolDefinition = {
name: 'memory_get_preferences',
label: 'Get User Preferences',
description: 'Retrieve stored preferences for a user.',
parameters: Type.Object({
userId: Type.String({ description: 'User ID' }),
category: Type.Optional(
Type.String({
description: 'Filter by category: communication, coding, workflow, appearance, general',
}),
),
}),
async execute(_toolCallId, params) {
const { userId, category } = params as { userId: string; category?: string };
type Cat = 'communication' | 'coding' | 'workflow' | 'appearance' | 'general';
const prefs = category
? await memory.preferences.findByUserAndCategory(userId, category as Cat)
: await memory.preferences.findByUser(userId);
return {
content: [{ type: 'text' as const, text: JSON.stringify(prefs, null, 2) }],
details: undefined,
};
},
};
const savePreference: ToolDefinition = {
name: 'memory_save_preference',
label: 'Save User Preference',
description:
'Store a learned user preference (e.g., "prefers tables over paragraphs", "timezone: America/Chicago").',
parameters: Type.Object({
userId: Type.String({ description: 'User ID' }),
key: Type.String({ description: 'Preference key' }),
value: Type.String({ description: 'Preference value (JSON string)' }),
category: Type.Optional(
Type.String({
description: 'Category: communication, coding, workflow, appearance, general',
}),
),
}),
async execute(_toolCallId, params) {
const { userId, key, value, category } = params as {
userId: string;
key: string;
value: string;
category?: string;
};
type Cat = 'communication' | 'coding' | 'workflow' | 'appearance' | 'general';
let parsedValue: unknown;
try {
parsedValue = JSON.parse(value);
} catch {
parsedValue = value;
}
const pref = await memory.preferences.upsert({
userId,
key,
value: parsedValue,
category: (category as Cat) ?? 'general',
source: 'agent',
});
return {
content: [{ type: 'text' as const, text: JSON.stringify(pref, null, 2) }],
details: undefined,
};
},
};
const saveInsight: ToolDefinition = {
name: 'memory_save_insight',
label: 'Save Insight',
description:
'Store a learned insight, decision, or knowledge extracted from the current interaction.',
parameters: Type.Object({
userId: Type.String({ description: 'User ID' }),
content: Type.String({ description: 'The insight or knowledge to store' }),
category: Type.Optional(
Type.String({
description: 'Category: decision, learning, preference, fact, pattern, general',
}),
),
}),
async execute(_toolCallId, params) {
const { userId, content, category } = params as {
userId: string;
content: string;
category?: string;
};
type Cat = 'decision' | 'learning' | 'preference' | 'fact' | 'pattern' | 'general';
let embedding: number[] | null = null;
if (embeddingProvider) {
embedding = await embeddingProvider.embed(content);
}
const insight = await memory.insights.create({
userId,
content,
embedding,
source: 'agent',
category: (category as Cat) ?? 'learning',
});
return {
content: [{ type: 'text' as const, text: JSON.stringify(insight, null, 2) }],
details: undefined,
};
},
};
return [searchMemory, getPreferences, savePreference, saveInsight];
}

View File

@@ -10,6 +10,9 @@ import { ProjectsModule } from './projects/projects.module.js';
import { MissionsModule } from './missions/missions.module.js';
import { TasksModule } from './tasks/tasks.module.js';
import { CoordModule } from './coord/coord.module.js';
import { MemoryModule } from './memory/memory.module.js';
import { LogModule } from './log/log.module.js';
import { SkillsModule } from './skills/skills.module.js';
@Module({
imports: [
@@ -23,6 +26,9 @@ import { CoordModule } from './coord/coord.module.js';
MissionsModule,
TasksModule,
CoordModule,
MemoryModule,
LogModule,
SkillsModule,
],
controllers: [HealthController],
})

View File

@@ -0,0 +1,44 @@
import { Injectable, Logger, type OnModuleInit, type OnModuleDestroy } from '@nestjs/common';
import cron from 'node-cron';
import { SummarizationService } from './summarization.service.js';
@Injectable()
export class CronService implements OnModuleInit, OnModuleDestroy {
private readonly logger = new Logger(CronService.name);
private readonly tasks: cron.ScheduledTask[] = [];
constructor(private readonly summarization: SummarizationService) {}
onModuleInit(): void {
const summarizationSchedule = process.env['SUMMARIZATION_CRON'] ?? '0 */6 * * *'; // every 6 hours
const tierManagementSchedule = process.env['TIER_MANAGEMENT_CRON'] ?? '0 3 * * *'; // daily at 3am
this.tasks.push(
cron.schedule(summarizationSchedule, () => {
this.summarization.runSummarization().catch((err) => {
this.logger.error(`Scheduled summarization failed: ${err}`);
});
}),
);
this.tasks.push(
cron.schedule(tierManagementSchedule, () => {
this.summarization.runTierManagement().catch((err) => {
this.logger.error(`Scheduled tier management failed: ${err}`);
});
}),
);
this.logger.log(
`Cron scheduled: summarization="${summarizationSchedule}", tier="${tierManagementSchedule}"`,
);
}
onModuleDestroy(): void {
for (const task of this.tasks) {
task.stop();
}
this.tasks.length = 0;
this.logger.log('Cron tasks stopped');
}
}

View File

@@ -0,0 +1,62 @@
import { Body, Controller, Get, Inject, Param, Post, Query, UseGuards } from '@nestjs/common';
import type { LogService } from '@mosaic/log';
import { LOG_SERVICE } from './log.tokens.js';
import { AuthGuard } from '../auth/auth.guard.js';
import type { IngestLogDto, QueryLogsDto } from './log.dto.js';
@Controller('api/logs')
@UseGuards(AuthGuard)
export class LogController {
constructor(@Inject(LOG_SERVICE) private readonly logService: LogService) {}
@Post()
async ingest(@Query('userId') userId: string, @Body() dto: IngestLogDto) {
return this.logService.logs.ingest({
sessionId: dto.sessionId,
userId,
level: dto.level,
category: dto.category,
content: dto.content,
metadata: dto.metadata,
});
}
@Post('batch')
async ingestBatch(@Query('userId') userId: string, @Body() dtos: IngestLogDto[]) {
const entries = dtos.map((dto) => ({
sessionId: dto.sessionId,
userId,
level: dto.level as 'debug' | 'info' | 'warn' | 'error' | undefined,
category: dto.category as
| 'decision'
| 'tool_use'
| 'learning'
| 'error'
| 'general'
| undefined,
content: dto.content,
metadata: dto.metadata,
}));
return this.logService.logs.ingestBatch(entries);
}
@Get()
async query(@Query('userId') userId: string, @Query() params: QueryLogsDto) {
return this.logService.logs.query({
userId,
sessionId: params.sessionId,
level: params.level,
category: params.category,
tier: params.tier,
since: params.since ? new Date(params.since) : undefined,
until: params.until ? new Date(params.until) : undefined,
limit: params.limit ? Number(params.limit) : undefined,
offset: params.offset ? Number(params.offset) : undefined,
});
}
@Get(':id')
async findOne(@Param('id') id: string) {
return this.logService.logs.findById(id);
}
}

View File

@@ -0,0 +1,18 @@
export interface IngestLogDto {
sessionId: string;
level?: 'debug' | 'info' | 'warn' | 'error';
category?: 'decision' | 'tool_use' | 'learning' | 'error' | 'general';
content: string;
metadata?: Record<string, unknown>;
}
export interface QueryLogsDto {
sessionId?: string;
level?: 'debug' | 'info' | 'warn' | 'error';
category?: 'decision' | 'tool_use' | 'learning' | 'error' | 'general';
tier?: 'hot' | 'warm' | 'cold';
since?: string;
until?: string;
limit?: string;
offset?: string;
}

View File

@@ -0,0 +1,24 @@
import { Global, Module } from '@nestjs/common';
import { createLogService, type LogService } from '@mosaic/log';
import type { Db } from '@mosaic/db';
import { DB } from '../database/database.module.js';
import { LOG_SERVICE } from './log.tokens.js';
import { LogController } from './log.controller.js';
import { SummarizationService } from './summarization.service.js';
import { CronService } from './cron.service.js';
@Global()
@Module({
providers: [
{
provide: LOG_SERVICE,
useFactory: (db: Db): LogService => createLogService(db),
inject: [DB],
},
SummarizationService,
CronService,
],
controllers: [LogController],
exports: [LOG_SERVICE, SummarizationService],
})
export class LogModule {}

View File

@@ -0,0 +1 @@
export const LOG_SERVICE = 'LOG_SERVICE';

View File

@@ -0,0 +1,178 @@
import { Inject, Injectable, Logger } from '@nestjs/common';
import type { LogService } from '@mosaic/log';
import type { Memory } from '@mosaic/memory';
import { LOG_SERVICE } from './log.tokens.js';
import { MEMORY } from '../memory/memory.tokens.js';
import { EmbeddingService } from '../memory/embedding.service.js';
import type { Db } from '@mosaic/db';
import { sql, summarizationJobs } from '@mosaic/db';
import { DB } from '../database/database.module.js';
const SUMMARIZATION_PROMPT = `You are a knowledge extraction assistant. Given the following agent interaction logs, extract the key decisions, learnings, and patterns. Output a concise summary (2-4 sentences) that captures the most important information for future reference. Focus on actionable insights, not raw events.
Logs:
{logs}
Summary:`;
interface ChatCompletion {
choices: Array<{ message: { content: string } }>;
}
@Injectable()
export class SummarizationService {
private readonly logger = new Logger(SummarizationService.name);
private readonly apiKey: string | undefined;
private readonly baseUrl: string;
private readonly model: string;
constructor(
@Inject(LOG_SERVICE) private readonly logService: LogService,
@Inject(MEMORY) private readonly memory: Memory,
private readonly embeddings: EmbeddingService,
@Inject(DB) private readonly db: Db,
) {
this.apiKey = process.env['OPENAI_API_KEY'];
this.baseUrl = process.env['SUMMARIZATION_API_URL'] ?? 'https://api.openai.com/v1';
this.model = process.env['SUMMARIZATION_MODEL'] ?? 'gpt-4o-mini';
}
/**
* Run one summarization cycle:
* 1. Find hot logs older than 24h with decision/learning/tool_use categories
* 2. Group by session
* 3. Summarize each group via cheap LLM
* 4. Store as insights with embeddings
* 5. Transition processed logs to warm tier
*/
async runSummarization(): Promise<{ logsProcessed: number; insightsCreated: number }> {
const cutoff = new Date(Date.now() - 24 * 60 * 60 * 1000); // 24h ago
// Create job record
const [job] = await this.db
.insert(summarizationJobs)
.values({ status: 'running', startedAt: new Date() })
.returning();
try {
const logs = await this.logService.logs.getLogsForSummarization(cutoff, 200);
if (logs.length === 0) {
await this.db
.update(summarizationJobs)
.set({ status: 'completed', completedAt: new Date() })
.where(sql`id = ${job!.id}`);
return { logsProcessed: 0, insightsCreated: 0 };
}
// Group logs by session
const bySession = new Map<string, typeof logs>();
for (const log of logs) {
const group = bySession.get(log.sessionId) ?? [];
group.push(log);
bySession.set(log.sessionId, group);
}
let insightsCreated = 0;
for (const [sessionId, sessionLogs] of bySession) {
const userId = sessionLogs[0]?.userId;
if (!userId) continue;
const logsText = sessionLogs.map((l) => `[${l.category}] ${l.content}`).join('\n');
const summary = await this.summarize(logsText);
if (!summary) continue;
const embedding = this.embeddings.available
? await this.embeddings.embed(summary)
: undefined;
await this.memory.insights.create({
userId,
content: summary,
embedding: embedding ?? null,
source: 'summarization',
category: 'learning',
metadata: { sessionId, logCount: sessionLogs.length },
});
insightsCreated++;
}
// Transition processed logs to warm
await this.logService.logs.promoteToWarm(cutoff);
await this.db
.update(summarizationJobs)
.set({
status: 'completed',
logsProcessed: logs.length,
insightsCreated,
completedAt: new Date(),
})
.where(sql`id = ${job!.id}`);
this.logger.log(`Summarization complete: ${logs.length} logs → ${insightsCreated} insights`);
return { logsProcessed: logs.length, insightsCreated };
} catch (error) {
const message = error instanceof Error ? error.message : String(error);
await this.db
.update(summarizationJobs)
.set({ status: 'failed', errorMessage: message, completedAt: new Date() })
.where(sql`id = ${job!.id}`);
this.logger.error(`Summarization failed: ${message}`);
throw error;
}
}
/**
* Run tier management:
* - Warm logs older than 30 days → cold
* - Cold logs older than 90 days → purged
* - Decay old insight relevance scores
*/
async runTierManagement(): Promise<void> {
const warmCutoff = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000);
const coldCutoff = new Date(Date.now() - 90 * 24 * 60 * 60 * 1000);
const decayCutoff = new Date(Date.now() - 14 * 24 * 60 * 60 * 1000);
const promoted = await this.logService.logs.promoteToCold(warmCutoff);
const purged = await this.logService.logs.purge(coldCutoff);
const decayed = await this.memory.insights.decayOldInsights(decayCutoff);
this.logger.log(
`Tier management: ${promoted} logs→cold, ${purged} purged, ${decayed} insights decayed`,
);
}
private async summarize(logsText: string): Promise<string | null> {
if (!this.apiKey) {
this.logger.warn('No API key configured — skipping summarization');
return null;
}
const prompt = SUMMARIZATION_PROMPT.replace('{logs}', logsText);
const response = await fetch(`${this.baseUrl}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${this.apiKey}`,
},
body: JSON.stringify({
model: this.model,
messages: [{ role: 'user', content: prompt }],
max_tokens: 300,
temperature: 0.3,
}),
});
if (!response.ok) {
const body = await response.text();
this.logger.error(`Summarization API error: ${response.status} ${body}`);
return null;
}
const json = (await response.json()) as ChatCompletion;
return json.choices[0]?.message.content ?? null;
}
}

View File

@@ -0,0 +1,69 @@
import { Injectable, Logger } from '@nestjs/common';
import type { EmbeddingProvider } from '@mosaic/memory';
const DEFAULT_MODEL = 'text-embedding-3-small';
const DEFAULT_DIMENSIONS = 1536;
interface EmbeddingResponse {
data: Array<{ embedding: number[]; index: number }>;
model: string;
usage: { prompt_tokens: number; total_tokens: number };
}
/**
* Generates embeddings via the OpenAI-compatible embeddings API.
* Supports OpenAI, Azure OpenAI, and any provider with a compatible endpoint.
*/
@Injectable()
export class EmbeddingService implements EmbeddingProvider {
private readonly logger = new Logger(EmbeddingService.name);
private readonly apiKey: string | undefined;
private readonly baseUrl: string;
private readonly model: string;
readonly dimensions = DEFAULT_DIMENSIONS;
constructor() {
this.apiKey = process.env['OPENAI_API_KEY'];
this.baseUrl = process.env['EMBEDDING_API_URL'] ?? 'https://api.openai.com/v1';
this.model = process.env['EMBEDDING_MODEL'] ?? DEFAULT_MODEL;
}
get available(): boolean {
return !!this.apiKey;
}
async embed(text: string): Promise<number[]> {
const results = await this.embedBatch([text]);
return results[0]!;
}
async embedBatch(texts: string[]): Promise<number[][]> {
if (!this.apiKey) {
this.logger.warn('No OPENAI_API_KEY configured — returning zero vectors');
return texts.map(() => new Array<number>(this.dimensions).fill(0));
}
const response = await fetch(`${this.baseUrl}/embeddings`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${this.apiKey}`,
},
body: JSON.stringify({
model: this.model,
input: texts,
dimensions: this.dimensions,
}),
});
if (!response.ok) {
const body = await response.text();
this.logger.error(`Embedding API error: ${response.status} ${body}`);
throw new Error(`Embedding API returned ${response.status}`);
}
const json = (await response.json()) as EmbeddingResponse;
return json.data.sort((a, b) => a.index - b.index).map((d) => d.embedding);
}
}

View File

@@ -0,0 +1,126 @@
import {
Body,
Controller,
Delete,
Get,
HttpCode,
HttpStatus,
Inject,
NotFoundException,
Param,
Post,
Query,
UseGuards,
} from '@nestjs/common';
import type { Memory } from '@mosaic/memory';
import { MEMORY } from './memory.tokens.js';
import { AuthGuard } from '../auth/auth.guard.js';
import { EmbeddingService } from './embedding.service.js';
import type { UpsertPreferenceDto, CreateInsightDto, SearchMemoryDto } from './memory.dto.js';
@Controller('api/memory')
@UseGuards(AuthGuard)
export class MemoryController {
constructor(
@Inject(MEMORY) private readonly memory: Memory,
private readonly embeddings: EmbeddingService,
) {}
// ─── Preferences ────────────────────────────────────────────────────
@Get('preferences')
async listPreferences(@Query('userId') userId: string, @Query('category') category?: string) {
if (category) {
return this.memory.preferences.findByUserAndCategory(
userId,
category as Parameters<typeof this.memory.preferences.findByUserAndCategory>[1],
);
}
return this.memory.preferences.findByUser(userId);
}
@Get('preferences/:key')
async getPreference(@Query('userId') userId: string, @Param('key') key: string) {
const pref = await this.memory.preferences.findByUserAndKey(userId, key);
if (!pref) throw new NotFoundException('Preference not found');
return pref;
}
@Post('preferences')
async upsertPreference(@Query('userId') userId: string, @Body() dto: UpsertPreferenceDto) {
return this.memory.preferences.upsert({
userId,
key: dto.key,
value: dto.value,
category: dto.category,
source: dto.source,
});
}
@Delete('preferences/:key')
@HttpCode(HttpStatus.NO_CONTENT)
async removePreference(@Query('userId') userId: string, @Param('key') key: string) {
const deleted = await this.memory.preferences.remove(userId, key);
if (!deleted) throw new NotFoundException('Preference not found');
}
// ─── Insights ───────────────────────────────────────────────────────
@Get('insights')
async listInsights(@Query('userId') userId: string, @Query('limit') limit?: string) {
return this.memory.insights.findByUser(userId, limit ? Number(limit) : undefined);
}
@Get('insights/:id')
async getInsight(@Param('id') id: string) {
const insight = await this.memory.insights.findById(id);
if (!insight) throw new NotFoundException('Insight not found');
return insight;
}
@Post('insights')
async createInsight(@Query('userId') userId: string, @Body() dto: CreateInsightDto) {
const embedding = this.embeddings.available
? await this.embeddings.embed(dto.content)
: undefined;
return this.memory.insights.create({
userId,
content: dto.content,
source: dto.source,
category: dto.category,
metadata: dto.metadata,
embedding: embedding ?? null,
});
}
@Delete('insights/:id')
@HttpCode(HttpStatus.NO_CONTENT)
async removeInsight(@Param('id') id: string) {
const deleted = await this.memory.insights.remove(id);
if (!deleted) throw new NotFoundException('Insight not found');
}
// ─── Search ─────────────────────────────────────────────────────────
@Post('search')
async searchMemory(@Query('userId') userId: string, @Body() dto: SearchMemoryDto) {
if (!this.embeddings.available) {
return {
query: dto.query,
results: [],
message: 'Semantic search requires OPENAI_API_KEY for embeddings',
};
}
const queryEmbedding = await this.embeddings.embed(dto.query);
const results = await this.memory.insights.searchByEmbedding(
userId,
queryEmbedding,
dto.limit ?? 10,
dto.maxDistance ?? 0.8,
);
return { query: dto.query, results };
}
}

View File

@@ -0,0 +1,19 @@
export interface UpsertPreferenceDto {
key: string;
value: unknown;
category?: 'communication' | 'coding' | 'workflow' | 'appearance' | 'general';
source?: string;
}
export interface CreateInsightDto {
content: string;
source?: 'agent' | 'user' | 'summarization' | 'system';
category?: 'decision' | 'learning' | 'preference' | 'fact' | 'pattern' | 'general';
metadata?: Record<string, unknown>;
}
export interface SearchMemoryDto {
query: string;
limit?: number;
maxDistance?: number;
}

View File

@@ -0,0 +1,22 @@
import { Global, Module } from '@nestjs/common';
import { createMemory, type Memory } from '@mosaic/memory';
import type { Db } from '@mosaic/db';
import { DB } from '../database/database.module.js';
import { MEMORY } from './memory.tokens.js';
import { MemoryController } from './memory.controller.js';
import { EmbeddingService } from './embedding.service.js';
@Global()
@Module({
providers: [
{
provide: MEMORY,
useFactory: (db: Db): Memory => createMemory(db),
inject: [DB],
},
EmbeddingService,
],
controllers: [MemoryController],
exports: [MEMORY, EmbeddingService],
})
export class MemoryModule {}

View File

@@ -0,0 +1 @@
export const MEMORY = 'MEMORY';

View File

@@ -0,0 +1,67 @@
import {
Body,
Controller,
Delete,
Get,
HttpCode,
HttpStatus,
NotFoundException,
Param,
Patch,
Post,
UseGuards,
} from '@nestjs/common';
import { SkillsService } from './skills.service.js';
import { AuthGuard } from '../auth/auth.guard.js';
import type { CreateSkillDto, UpdateSkillDto } from './skills.dto.js';
@Controller('api/skills')
@UseGuards(AuthGuard)
export class SkillsController {
constructor(private readonly skills: SkillsService) {}
@Get()
async list() {
return this.skills.findAll();
}
@Get(':id')
async findOne(@Param('id') id: string) {
const skill = await this.skills.findById(id);
if (!skill) throw new NotFoundException('Skill not found');
return skill;
}
@Post()
async create(@Body() dto: CreateSkillDto) {
return this.skills.create({
name: dto.name,
description: dto.description,
version: dto.version,
source: dto.source,
config: dto.config,
enabled: dto.enabled,
});
}
@Patch(':id')
async update(@Param('id') id: string, @Body() dto: UpdateSkillDto) {
const skill = await this.skills.update(id, dto);
if (!skill) throw new NotFoundException('Skill not found');
return skill;
}
@Patch(':id/toggle')
async toggle(@Param('id') id: string, @Body() body: { enabled: boolean }) {
const skill = await this.skills.toggle(id, body.enabled);
if (!skill) throw new NotFoundException('Skill not found');
return skill;
}
@Delete(':id')
@HttpCode(HttpStatus.NO_CONTENT)
async remove(@Param('id') id: string) {
const deleted = await this.skills.remove(id);
if (!deleted) throw new NotFoundException('Skill not found');
}
}

View File

@@ -0,0 +1,15 @@
export interface CreateSkillDto {
name: string;
description?: string;
version?: string;
source?: 'builtin' | 'community' | 'custom';
config?: Record<string, unknown>;
enabled?: boolean;
}
export interface UpdateSkillDto {
description?: string;
version?: string;
config?: Record<string, unknown>;
enabled?: boolean;
}

View File

@@ -0,0 +1,10 @@
import { Module } from '@nestjs/common';
import { SkillsService } from './skills.service.js';
import { SkillsController } from './skills.controller.js';
@Module({
providers: [SkillsService],
controllers: [SkillsController],
exports: [SkillsService],
})
export class SkillsModule {}

View File

@@ -0,0 +1,52 @@
import { Inject, Injectable } from '@nestjs/common';
import { eq, type Db, skills } from '@mosaic/db';
import { DB } from '../database/database.module.js';
type Skill = typeof skills.$inferSelect;
type NewSkill = typeof skills.$inferInsert;
@Injectable()
export class SkillsService {
constructor(@Inject(DB) private readonly db: Db) {}
async findAll(): Promise<Skill[]> {
return this.db.select().from(skills);
}
async findEnabled(): Promise<Skill[]> {
return this.db.select().from(skills).where(eq(skills.enabled, true));
}
async findById(id: string): Promise<Skill | undefined> {
const rows = await this.db.select().from(skills).where(eq(skills.id, id));
return rows[0];
}
async findByName(name: string): Promise<Skill | undefined> {
const rows = await this.db.select().from(skills).where(eq(skills.name, name));
return rows[0];
}
async create(data: NewSkill): Promise<Skill> {
const rows = await this.db.insert(skills).values(data).returning();
return rows[0]!;
}
async update(id: string, data: Partial<NewSkill>): Promise<Skill | undefined> {
const rows = await this.db
.update(skills)
.set({ ...data, updatedAt: new Date() })
.where(eq(skills.id, id))
.returning();
return rows[0];
}
async remove(id: string): Promise<boolean> {
const rows = await this.db.delete(skills).where(eq(skills.id, id)).returning();
return rows.length > 0;
}
async toggle(id: string, enabled: boolean): Promise<Skill | undefined> {
return this.update(id, { enabled });
}
}