feat: add persistent personality, Piston API sandbox, and storage layer

- Add personality engine with learning from conversations
  - Tracks user preferences, interests, and communication style
  - Persists to Redis (cache) + PostgreSQL (durable)
  - Generates personalized system prompts per user

- Add Piston API fallback for sandbox execution
  - Auto-detects backend: Docker → Piston API → none
  - Supports 15+ languages via free cloud execution
  - Works on Railway and other managed platforms

- Add storage layer with layered persistence
  - PostgreSQL for tasks, user profiles, personality traits
  - Redis for conversation cache and fast profile access
  - Graceful fallback to in-memory when not configured

- Update scheduler with task persistence
  - Loads tasks from PostgreSQL on startup
  - Saves task status after execution

- Add document analysis (PDF, text files)
- Add railway-template.json for one-click deployment
- Enable sandbox by default (Piston fallback)
- Add OpenRouter support (100+ models)

https://claude.ai/code/session_015VqJ7gN4vaxtYfYc92UjLs
This commit is contained in:
Claude 2026-01-30 08:03:08 +00:00
parent c33905a2bc
commit 095d476acc
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12 changed files with 1818 additions and 139 deletions

58
railway-template.json Normal file
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@ -0,0 +1,58 @@
{
"$schema": "https://railway.app/railway.schema.json",
"name": "AssureBot",
"description": "Lean, secure, self-hosted AI assistant with Telegram, document analysis, and scheduled tasks",
"services": [
{
"name": "assurebot",
"build": {
"builder": "DOCKERFILE",
"dockerfilePath": "secure/Dockerfile",
"watchPatterns": ["secure/**"]
},
"deploy": {
"startCommand": "node dist/index.js",
"healthcheckPath": "/health",
"healthcheckTimeout": 60,
"restartPolicyType": "ON_FAILURE",
"restartPolicyMaxRetries": 3
},
"variables": {
"DATABASE_URL": "${{Postgres.DATABASE_URL}}",
"REDIS_URL": "${{Redis.REDIS_URL}}",
"TELEGRAM_BOT_TOKEN": {
"description": "Telegram bot token from @BotFather",
"required": true
},
"ALLOWED_USERS": {
"description": "Comma-separated Telegram user IDs",
"required": true
},
"ANTHROPIC_API_KEY": {
"description": "Anthropic API key (or use OPENAI_API_KEY or OPENROUTER_API_KEY)",
"required": false
},
"OPENAI_API_KEY": {
"description": "OpenAI API key",
"required": false
},
"OPENROUTER_API_KEY": {
"description": "OpenRouter API key (100+ models)",
"required": false
},
"AI_MODEL": {
"description": "Model override (e.g., claude-3-5-sonnet-20241022)",
"required": false
}
}
},
{
"name": "Postgres",
"plugin": "postgresql"
},
{
"name": "Redis",
"plugin": "redis"
}
]
}

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@ -1,43 +1,42 @@
# AssureBot - Minimal Docker Image
# AssureBot - Standalone Docker Image
# Lean, secure, self-hosted AI assistant for Railway
#
# Build from repo root: docker build -f secure/Dockerfile .
# Or set Railway root directory to: secure/
FROM node:22-slim AS builder
WORKDIR /app
# Install pnpm
RUN corepack enable && corepack prepare pnpm@latest --activate
# Copy workspace config and package files
COPY pnpm-workspace.yaml pnpm-lock.yaml package.json ./
COPY secure/package.json ./secure/
# Copy package files (handles both root and secure/ as context)
COPY package*.json ./
COPY tsconfig.json* ./
COPY *.ts ./
COPY *.d.ts ./
# Install dependencies
RUN pnpm install --frozen-lockfile --prod=false
# Copy source
COPY secure/ ./secure/
RUN npm install --omit=dev=false
# Build TypeScript
RUN cd secure && pnpm exec tsc
RUN npm run build
# Production image
FROM node:22-slim AS runner
# Security: Run as non-root user
RUN useradd -m -u 1000 -s /bin/bash assurebot
USER assurebot
# Security: Run as non-root user (use different UID since 1000 exists)
RUN useradd -m -u 1001 -s /bin/bash assurebot
WORKDIR /app
# Copy built files and production deps
COPY --from=builder --chown=assurebot:assurebot /app/node_modules ./node_modules
COPY --from=builder --chown=assurebot:assurebot /app/secure/node_modules ./secure/node_modules
COPY --from=builder --chown=assurebot:assurebot /app/secure/dist ./dist
COPY --from=builder --chown=assurebot:assurebot /app/secure/package.json ./
COPY --from=builder --chown=assurebot:assurebot /app/dist ./dist
COPY --from=builder --chown=assurebot:assurebot /app/package.json ./
# Create data directory for audit logs
RUN mkdir -p /app/data
# Create data directory for audit logs (before switching user)
RUN mkdir -p /app/data && chown assurebot:assurebot /app/data
USER assurebot
ENV NODE_ENV=production
ENV PORT=8080
@ -45,7 +44,7 @@ ENV PORT=8080
EXPOSE 8080
# Health check
HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \
HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
CMD node -e "fetch('http://localhost:8080/health').then(r => process.exit(r.ok ? 0 : 1))" || exit 1
CMD ["node", "dist/index.js"]

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@ -39,11 +39,12 @@ export type AgentResponse = {
export type AgentCore = {
chat: (messages: Message[], systemPrompt?: string) => Promise<AgentResponse>;
analyzeImage: (imageData: string, mediaType: ImageContent["mediaType"], prompt?: string) => Promise<AgentResponse>;
provider: "anthropic" | "openai";
provider: "anthropic" | "openai" | "openrouter";
};
const DEFAULT_ANTHROPIC_MODEL = "claude-sonnet-4-20250514";
const DEFAULT_OPENAI_MODEL = "gpt-4o";
const DEFAULT_OPENROUTER_MODEL = "anthropic/claude-3.5-sonnet";
const DEFAULT_SYSTEM_PROMPT = `You are a helpful AI assistant running as a secure, self-hosted bot.
@ -234,10 +235,112 @@ function createOpenAIAgent(config: SecureConfig, audit: AuditLogger): AgentCore
};
}
function createOpenRouterAgent(config: SecureConfig, audit: AuditLogger): AgentCore {
// OpenRouter uses OpenAI-compatible API
const client = new OpenAI({
apiKey: config.ai.apiKey,
baseURL: "https://openrouter.ai/api/v1",
defaultHeaders: {
"HTTP-Referer": "https://github.com/TNovs1/moltbot",
"X-Title": "AssureBot",
},
});
const model = config.ai.model || DEFAULT_OPENROUTER_MODEL;
type OpenAIContent = OpenAI.ChatCompletionContentPart[];
function convertContent(content: MessageContent): string | OpenAIContent {
if (typeof content === "string") {
return content;
}
return content.map((part) => {
if (part.type === "text") {
return { type: "text" as const, text: part.text };
}
return {
type: "image_url" as const,
image_url: {
url: `data:${part.mediaType};base64,${part.data}`,
},
};
});
}
return {
provider: "openrouter",
async chat(messages: Message[], systemPrompt?: string): Promise<AgentResponse> {
try {
const openaiMessages: OpenAI.ChatCompletionMessageParam[] = [
{ role: "system", content: systemPrompt || DEFAULT_SYSTEM_PROMPT },
];
for (const m of messages) {
if (m.role === "user") {
openaiMessages.push({
role: "user",
content: convertContent(m.content),
});
} else {
openaiMessages.push({
role: "assistant",
content: typeof m.content === "string" ? m.content : "",
});
}
}
const response = await client.chat.completions.create({
model,
max_tokens: 4096,
messages: openaiMessages,
});
const text = response.choices[0]?.message?.content || "";
return {
text,
usage: response.usage
? {
inputTokens: response.usage.prompt_tokens,
outputTokens: response.usage.completion_tokens,
}
: undefined,
};
} catch (err) {
audit.error({
error: `OpenRouter API error: ${err instanceof Error ? err.message : String(err)}`,
});
throw err;
}
},
async analyzeImage(
imageData: string,
mediaType: ImageContent["mediaType"],
prompt = "What's in this image? Describe it in detail."
): Promise<AgentResponse> {
const messages: Message[] = [
{
role: "user",
content: [
{ type: "image", data: imageData, mediaType },
{ type: "text", text: prompt },
],
},
];
return this.chat(messages);
},
};
}
export function createAgent(config: SecureConfig, audit: AuditLogger): AgentCore {
if (config.ai.provider === "anthropic") {
return createAnthropicAgent(config, audit);
}
if (config.ai.provider === "openrouter") {
return createOpenRouterAgent(config, audit);
}
return createOpenAIAgent(config, audit);
}

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@ -1,5 +1,5 @@
/**
* Moltbot Secure - Environment-only Configuration
* AssureBot - Environment-only Configuration
*
* All configuration via environment variables.
* No config files, no filesystem secrets.
@ -14,7 +14,7 @@ export type SecureConfig = {
// AI Provider
ai: {
provider: "anthropic" | "openai";
provider: "anthropic" | "openai" | "openrouter";
apiKey: string;
model?: string;
};
@ -53,6 +53,12 @@ export type SecureConfig = {
host: string;
gatewayToken: string;
};
// Storage (optional)
storage: {
postgresUrl?: string;
redisUrl?: string;
};
};
function required(name: string): string {
@ -89,9 +95,10 @@ function parseAllowedUsers(value: string): number[] {
.filter((n) => Number.isFinite(n) && n > 0);
}
function detectAiProvider(): { provider: "anthropic" | "openai"; apiKey: string } {
function detectAiProvider(): { provider: "anthropic" | "openai" | "openrouter"; apiKey: string } {
const anthropicKey = process.env.ANTHROPIC_API_KEY;
const openaiKey = process.env.OPENAI_API_KEY;
const openrouterKey = process.env.OPENROUTER_API_KEY;
if (anthropicKey) {
return { provider: "anthropic", apiKey: anthropicKey };
@ -99,8 +106,11 @@ function detectAiProvider(): { provider: "anthropic" | "openai"; apiKey: string
if (openaiKey) {
return { provider: "openai", apiKey: openaiKey };
}
if (openrouterKey) {
return { provider: "openrouter", apiKey: openrouterKey };
}
throw new Error("Missing AI provider key. Set ANTHROPIC_API_KEY or OPENAI_API_KEY");
throw new Error("Missing AI provider key. Set ANTHROPIC_API_KEY, OPENAI_API_KEY, or OPENROUTER_API_KEY");
}
function generateSecureToken(): string {
@ -132,7 +142,7 @@ export function loadSecureConfig(): SecureConfig {
const webhooksEnabled = optionalBool("WEBHOOKS_ENABLED", true);
const webhookSecret = optional("WEBHOOK_SECRET", generateSecureToken());
// Optional: Sandbox
// Optional: Sandbox (enabled by default - auto-detects Docker or Piston API fallback)
const sandboxEnabled = optionalBool("SANDBOX_ENABLED", true);
// Optional: Scheduler
@ -177,7 +187,11 @@ export function loadSecureConfig(): SecureConfig {
server: {
port,
host: optional("HOST", "0.0.0.0"),
gatewayToken: optional("MOLTBOT_GATEWAY_TOKEN", generateSecureToken()),
gatewayToken: optional("ASSUREBOT_GATEWAY_TOKEN", generateSecureToken()),
},
storage: {
postgresUrl: process.env.DATABASE_URL || process.env.POSTGRES_URL,
redisUrl: process.env.REDIS_URL,
},
};
}
@ -231,5 +245,9 @@ export function redactConfig(config: SecureConfig): Record<string, unknown> {
host: config.server.host,
gatewayToken: "[REDACTED]",
},
storage: {
postgresUrl: config.storage.postgresUrl ? "[CONFIGURED]" : undefined,
redisUrl: config.storage.redisUrl ? "[CONFIGURED]" : undefined,
},
};
}

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secure/documents.ts Normal file
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@ -0,0 +1,120 @@
/**
* AssureBot - Document Analysis
*
* Extract text from various document formats for AI analysis.
*/
export type DocumentResult = {
text: string;
pageCount?: number;
format: string;
truncated: boolean;
};
const MAX_TEXT_LENGTH = 50000; // ~12k tokens
/**
* Extract text from a buffer based on mime type
*/
export async function extractText(
buffer: Buffer,
mimeType: string,
filename?: string
): Promise<DocumentResult> {
const ext = filename?.split(".").pop()?.toLowerCase();
// Plain text files
if (
mimeType.startsWith("text/") ||
ext === "txt" ||
ext === "md" ||
ext === "json" ||
ext === "xml" ||
ext === "csv" ||
ext === "log"
) {
return extractPlainText(buffer);
}
// PDF
if (mimeType === "application/pdf" || ext === "pdf") {
return extractPdf(buffer);
}
// Code files (treat as text)
const codeExtensions = [
"js", "ts", "jsx", "tsx", "py", "rb", "go", "rs", "java",
"c", "cpp", "h", "hpp", "cs", "php", "swift", "kt", "scala",
"sh", "bash", "zsh", "yaml", "yml", "toml", "ini", "env",
"sql", "graphql", "html", "css", "scss", "less"
];
if (ext && codeExtensions.includes(ext)) {
return extractPlainText(buffer, ext);
}
// Unsupported format
return {
text: `[Unsupported document format: ${mimeType}${ext ? ` (.${ext})` : ""}]`,
format: "unsupported",
truncated: false,
};
}
/**
* Extract plain text
*/
function extractPlainText(buffer: Buffer, format = "text"): DocumentResult {
let text = buffer.toString("utf-8");
let truncated = false;
if (text.length > MAX_TEXT_LENGTH) {
text = text.slice(0, MAX_TEXT_LENGTH) + "\n\n[... truncated ...]";
truncated = true;
}
return { text, format, truncated };
}
/**
* Extract text from PDF using pdf-parse
*/
async function extractPdf(buffer: Buffer): Promise<DocumentResult> {
try {
// Dynamic import to avoid bundling issues
const pdfParse = await import("pdf-parse").then(m => m.default);
const data = await pdfParse(buffer);
let text = data.text;
let truncated = false;
if (text.length > MAX_TEXT_LENGTH) {
text = text.slice(0, MAX_TEXT_LENGTH) + "\n\n[... truncated ...]";
truncated = true;
}
return {
text,
pageCount: data.numpages,
format: "pdf",
truncated,
};
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
return {
text: `[Failed to parse PDF: ${msg}]`,
format: "pdf-error",
truncated: false,
};
}
}
/**
* Summarize document metadata for logging
*/
export function summarizeDocument(result: DocumentResult): string {
const parts = [result.format.toUpperCase()];
if (result.pageCount) parts.push(`${result.pageCount} pages`);
parts.push(`${result.text.length} chars`);
if (result.truncated) parts.push("truncated");
return parts.join(", ");
}

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@ -15,6 +15,8 @@ import { createTelegramBot } from "./telegram.js";
import { createWebhookHandler } from "./webhooks.js";
import { createSandboxRunner } from "./sandbox.js";
import { createScheduler } from "./scheduler.js";
import { createStorage, type Storage } from "./storage.js";
import { createPersonality } from "./personality.js";
async function main() {
console.log("=".repeat(50));
@ -49,6 +51,15 @@ async function main() {
});
audit.startup();
// Create storage (PostgreSQL + Redis)
console.log("[init] Creating storage layer...");
const storage = await createStorage({
postgres: config.storage.postgresUrl ? { url: config.storage.postgresUrl } : undefined,
redis: config.storage.redisUrl ? { url: config.storage.redisUrl } : undefined,
});
const storageHealthy = await storage.isHealthy();
console.log(`[init] Storage healthy: ${storageHealthy}`);
// Create AI agent
console.log(`[init] Creating AI agent (${config.ai.provider})...`);
const agent = createAgent(config, audit);
@ -56,33 +67,46 @@ async function main() {
// Create conversation store
const conversations = createConversationStore();
// Create Telegram bot
console.log("[init] Creating Telegram bot...");
const telegram = createTelegramBot({
config,
audit,
agent,
conversations,
});
// Create webhook handler
console.log("[init] Creating webhook handler...");
const webhooks = createWebhookHandler({
config,
audit,
agent,
telegramBot: telegram.bot,
});
// Create sandbox runner
console.log("[init] Creating sandbox runner...");
const sandbox = createSandboxRunner(config, audit);
const sandboxAvailable = await sandbox.isAvailable();
console.log(`[init] Sandbox available: ${sandboxAvailable}`);
// Create scheduler
// Create a placeholder bot for circular deps
// We'll create telegram, scheduler, and webhooks together
const { Bot } = await import("grammy");
const bot = new Bot(config.telegram.botToken);
// Create scheduler (needs bot for notifications, storage for persistence)
console.log("[init] Creating scheduler...");
const scheduler = createScheduler({
config,
audit,
agent,
telegramBot: bot,
storage,
});
// Create personality engine (learning + personalization)
console.log("[init] Creating personality engine...");
const personality = await createPersonality(storage);
// Create Telegram bot handler (with sandbox, scheduler, personality)
console.log("[init] Creating Telegram bot...");
const telegram = createTelegramBot({
config,
audit,
agent,
conversations,
sandbox,
scheduler,
personality,
});
// Create webhook handler
console.log("[init] Creating webhook handler...");
const webhooks = createWebhookHandler({
config,
audit,
agent,
@ -96,6 +120,7 @@ async function main() {
// Health check
if (url.pathname === "/health" || url.pathname === "/healthz") {
const isStorageHealthy = await storage.isHealthy();
res.statusCode = 200;
res.setHeader("Content-Type", "application/json");
res.end(JSON.stringify({
@ -104,6 +129,9 @@ async function main() {
uptime: process.uptime(),
telegram: "connected",
sandbox: sandboxAvailable ? "available" : "unavailable",
storage: isStorageHealthy ? "healthy" : "degraded",
postgres: config.storage.postgresUrl ? "configured" : "none",
redis: config.storage.redisUrl ? "configured" : "none",
}));
return;
}
@ -141,6 +169,7 @@ async function main() {
try {
scheduler.stop();
await telegram.stop();
await storage.close();
await new Promise<void>((resolve, reject) => {
server.close((err) => {
@ -168,8 +197,8 @@ async function main() {
console.log(`[start] HTTP server listening on ${config.server.host}:${config.server.port}`);
});
// Start scheduler
scheduler.start();
// Start scheduler (loads tasks from storage)
await scheduler.start();
// Start Telegram bot (polling mode for simplicity)
await telegram.start();
@ -181,6 +210,7 @@ async function main() {
console.log(` Telegram: Polling mode`);
console.log(` Webhooks: http://localhost:${config.server.port}${config.webhooks.basePath}/*`);
console.log(` Health: http://localhost:${config.server.port}/health`);
console.log(` Storage: ${config.storage.postgresUrl ? "PostgreSQL" : "memory"}${config.storage.redisUrl ? " + Redis" : ""}`);
console.log(` Allowed: ${config.telegram.allowedUsers.length} users`);
console.log();
console.log(" Press Ctrl+C to stop");

10
secure/pdf-parse.d.ts vendored Normal file
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@ -0,0 +1,10 @@
declare module "pdf-parse" {
function pdfParse(dataBuffer: Buffer): Promise<{
numpages: number;
numrender: number;
info: Record<string, unknown>;
metadata: Record<string, unknown>;
text: string;
}>;
export default pdfParse;
}

248
secure/personality.ts Normal file
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@ -0,0 +1,248 @@
/**
* AssureBot - Personality Engine
*
* Persistent, evolving AI personality that learns from conversations.
* - Stores traits and preferences in Redis (fast access)
* - Syncs to PostgreSQL (durability)
* - Learns user preferences, tone, and topics over time
*/
import type { Storage, UserProfile, PersonalityTraits } from "./storage.js";
// Re-export types for convenience
export type { UserProfile, PersonalityTraits };
export type Personality = {
getSystemPrompt: (userId: number) => Promise<string>;
getUserProfile: (userId: number) => Promise<UserProfile>;
updateUserProfile: (userId: number, updates: Partial<UserProfile>) => Promise<void>;
learnFromConversation: (userId: number, userMessage: string, botResponse: string) => Promise<void>;
getTraits: () => Promise<PersonalityTraits>;
updateTraits: (updates: Partial<PersonalityTraits>) => Promise<void>;
};
const DEFAULT_TRAITS: PersonalityTraits = {
name: "AssureBot",
greeting: "Hey",
signOff: "",
humor: "subtle",
verbosity: "balanced",
commonPhrases: [],
avoidPhrases: [],
expertiseAreas: ["coding", "analysis", "automation"],
lastUpdated: new Date(),
version: 1,
};
const DEFAULT_USER_PROFILE: Omit<UserProfile, "userId"> = {
preferredTone: "friendly",
interests: [],
recentTopics: [],
interactionCount: 0,
lastSeen: new Date(),
notes: [],
};
export async function createPersonality(storage: Storage): Promise<Personality> {
// Load or initialize traits from storage
let traits: PersonalityTraits = await storage.getPersonalityTraits() ?? { ...DEFAULT_TRAITS };
// Save default traits if none exist
if (!(await storage.getPersonalityTraits())) {
await storage.savePersonalityTraits(traits);
console.log("[personality] Initialized default traits");
}
// In-memory cache for hot profiles (reduces Redis calls during conversation)
const profileCache = new Map<number, UserProfile>();
async function loadUserProfile(userId: number): Promise<UserProfile> {
// Check in-memory cache first
if (profileCache.has(userId)) {
return profileCache.get(userId)!;
}
// Try loading from storage (Redis -> PostgreSQL -> memory)
const stored = await storage.getUserProfile(userId);
if (stored) {
profileCache.set(userId, stored);
return stored;
}
// Create new profile for this user
const profile: UserProfile = {
userId,
...DEFAULT_USER_PROFILE,
lastSeen: new Date(),
};
// Persist new profile
await storage.saveUserProfile(profile);
profileCache.set(userId, profile);
console.log(`[personality] Created new profile for user ${userId}`);
return profile;
}
async function saveUserProfile(profile: UserProfile): Promise<void> {
// Update cache
profileCache.set(profile.userId, profile);
// Persist to storage (Redis + PostgreSQL)
await storage.saveUserProfile(profile);
}
return {
async getSystemPrompt(userId: number): Promise<string> {
const profile = await loadUserProfile(userId);
let prompt = `You are ${traits.name}, a helpful AI assistant.
## Personality
- Tone: ${profile.preferredTone}
- Verbosity: ${traits.verbosity}
- Humor: ${traits.humor === "none" ? "Stay professional" : traits.humor === "subtle" ? "Occasional light humor is fine" : "Be playful and fun"}
## Your Expertise
${traits.expertiseAreas.map(e => `- ${e}`).join("\n")}
## About This User
- Interactions: ${profile.interactionCount}
- Interests: ${profile.interests.length > 0 ? profile.interests.join(", ") : "Not yet known"}
- Recent topics: ${profile.recentTopics.length > 0 ? profile.recentTopics.slice(-3).join(", ") : "None yet"}
${profile.notes.length > 0 ? `- Notes: ${profile.notes.slice(-3).join("; ")}` : ""}
## Guidelines
- Be helpful, accurate, and security-conscious
- Never reveal API keys, tokens, or secrets
- Adapt to the user's communication style
- Remember context from this conversation
${traits.commonPhrases.length > 0 ? `- Phrases you like: ${traits.commonPhrases.join(", ")}` : ""}
${traits.avoidPhrases.length > 0 ? `- Avoid saying: ${traits.avoidPhrases.join(", ")}` : ""}`;
return prompt;
},
async getUserProfile(userId: number): Promise<UserProfile> {
return loadUserProfile(userId);
},
async updateUserProfile(userId: number, updates: Partial<UserProfile>): Promise<void> {
const profile = await loadUserProfile(userId);
Object.assign(profile, updates);
await saveUserProfile(profile);
},
async learnFromConversation(
userId: number,
userMessage: string,
botResponse: string
): Promise<void> {
const profile = await loadUserProfile(userId);
// Update interaction count
profile.interactionCount++;
profile.lastSeen = new Date();
// Extract topics (simple keyword extraction)
const topics = extractTopics(userMessage);
if (topics.length > 0) {
// Add to recent topics, keep last 10
profile.recentTopics = [...profile.recentTopics, ...topics].slice(-10);
// Add unique topics to interests
for (const topic of topics) {
if (!profile.interests.includes(topic)) {
profile.interests.push(topic);
// Keep interests manageable
if (profile.interests.length > 20) {
profile.interests = profile.interests.slice(-20);
}
}
}
}
// Detect user preferences from message style
if (userMessage.length < 50 && !userMessage.includes("?")) {
// User prefers concise communication
profile.preferredTone = "concise";
} else if (userMessage.includes("please") || userMessage.includes("thank")) {
profile.preferredTone = "friendly";
}
await saveUserProfile(profile);
},
async getTraits(): Promise<PersonalityTraits> {
return { ...traits };
},
async updateTraits(updates: Partial<PersonalityTraits>): Promise<void> {
traits = {
...traits,
...updates,
lastUpdated: new Date(),
version: traits.version + 1,
};
// Persist to storage
await storage.savePersonalityTraits(traits);
console.log(`[personality] Updated traits (v${traits.version})`);
},
};
}
/**
* Simple topic extraction from text
*/
function extractTopics(text: string): string[] {
const topics: string[] = [];
const lowerText = text.toLowerCase();
// Tech topics
const techKeywords = [
"python", "javascript", "typescript", "rust", "go", "java",
"docker", "kubernetes", "aws", "api", "database", "sql",
"react", "vue", "node", "linux", "git", "ci/cd",
"machine learning", "ai", "llm", "chatgpt", "claude",
];
for (const keyword of techKeywords) {
if (lowerText.includes(keyword)) {
topics.push(keyword);
}
}
// Task types
if (lowerText.includes("debug") || lowerText.includes("fix") || lowerText.includes("error")) {
topics.push("debugging");
}
if (lowerText.includes("write") || lowerText.includes("create") || lowerText.includes("build")) {
topics.push("development");
}
if (lowerText.includes("explain") || lowerText.includes("how does") || lowerText.includes("what is")) {
topics.push("learning");
}
return topics.slice(0, 3); // Max 3 topics per message
}
/**
* Generate a personalized greeting
*/
export function generateGreeting(traits: PersonalityTraits, profile: UserProfile): string {
const greetings = {
casual: ["Hey!", "Hi there!", "What's up?"],
professional: ["Hello.", "Good day.", "Greetings."],
friendly: ["Hey there! 👋", "Hi! Good to see you!", "Hello friend!"],
concise: ["Hi.", "Hey.", ""],
};
const options = greetings[profile.preferredTone];
const greeting = options[Math.floor(Math.random() * options.length)];
if (profile.interactionCount > 10 && profile.name) {
return `${greeting} ${profile.name}!`;
}
return greeting;
}

View File

@ -1,7 +1,10 @@
/**
* Moltbot Secure - Sandbox Execution
* AssureBot - Sandbox Execution
*
* Isolated code execution with multiple backends:
* 1. Docker (local) - if Docker socket available
* 2. Piston API (cloud) - free code execution API fallback
*
* Isolated Docker container for code/script execution.
* Security-first: no network, read-only root, resource limits.
*/
@ -19,7 +22,34 @@ export type SandboxResult = {
export type SandboxRunner = {
run: (command: string, stdin?: string) => Promise<SandboxResult>;
runCode: (language: string, code: string) => Promise<SandboxResult>;
isAvailable: () => Promise<boolean>;
backend: "docker" | "piston" | "none";
};
// Piston API - free cloud-based code execution
const PISTON_API = "https://emkc.org/api/v2/piston";
// Supported languages for Piston
const PISTON_LANGUAGES: Record<string, { language: string; version: string }> = {
python: { language: "python", version: "3.10" },
python3: { language: "python", version: "3.10" },
py: { language: "python", version: "3.10" },
javascript: { language: "javascript", version: "18.15.0" },
js: { language: "javascript", version: "18.15.0" },
node: { language: "javascript", version: "18.15.0" },
typescript: { language: "typescript", version: "5.0.3" },
ts: { language: "typescript", version: "5.0.3" },
bash: { language: "bash", version: "5.2.0" },
sh: { language: "bash", version: "5.2.0" },
shell: { language: "bash", version: "5.2.0" },
rust: { language: "rust", version: "1.68.2" },
go: { language: "go", version: "1.16.2" },
c: { language: "c", version: "10.2.0" },
cpp: { language: "c++", version: "10.2.0" },
java: { language: "java", version: "15.0.2" },
ruby: { language: "ruby", version: "3.0.1" },
php: { language: "php", version: "8.2.3" },
};
/**
@ -35,6 +65,102 @@ async function checkDocker(): Promise<boolean> {
});
}
/**
* Check if Piston API is available
*/
async function checkPiston(): Promise<boolean> {
try {
const response = await fetch(`${PISTON_API}/runtimes`, {
method: "GET",
signal: AbortSignal.timeout(5000),
});
return response.ok;
} catch {
return false;
}
}
/**
* Execute code via Piston API
*/
async function runPiston(
language: string,
code: string,
timeoutMs: number
): Promise<SandboxResult> {
const startTime = Date.now();
const langConfig = PISTON_LANGUAGES[language.toLowerCase()];
if (!langConfig) {
return {
exitCode: 1,
stdout: "",
stderr: `Unsupported language: ${language}\n\nSupported: ${Object.keys(PISTON_LANGUAGES).join(", ")}`,
timedOut: false,
durationMs: Date.now() - startTime,
};
}
try {
const response = await fetch(`${PISTON_API}/execute`, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
language: langConfig.language,
version: langConfig.version,
files: [{ content: code }],
}),
signal: AbortSignal.timeout(timeoutMs),
});
if (!response.ok) {
const text = await response.text();
return {
exitCode: 1,
stdout: "",
stderr: `Piston API error: ${response.status} ${text}`,
timedOut: false,
durationMs: Date.now() - startTime,
};
}
const result = await response.json() as {
run: { stdout: string; stderr: string; code: number; signal: string | null };
compile?: { stdout: string; stderr: string; code: number };
};
// Check for compilation errors
if (result.compile && result.compile.code !== 0) {
return {
exitCode: result.compile.code,
stdout: result.compile.stdout || "",
stderr: result.compile.stderr || "Compilation failed",
timedOut: false,
durationMs: Date.now() - startTime,
};
}
return {
exitCode: result.run.code,
stdout: (result.run.stdout || "").slice(0, 10000),
stderr: (result.run.stderr || "").slice(0, 10000),
timedOut: result.run.signal === "SIGKILL",
durationMs: Date.now() - startTime,
};
} catch (err) {
const isTimeout = err instanceof Error && err.name === "TimeoutError";
return {
exitCode: 1,
stdout: "",
stderr: isTimeout ? "Execution timed out" : `Error: ${err instanceof Error ? err.message : String(err)}`,
timedOut: isTimeout,
durationMs: Date.now() - startTime,
};
}
}
/**
* Build Docker run arguments for secure execution
*/
@ -83,101 +209,192 @@ function buildDockerArgs(config: SecureConfig["sandbox"], command: string): stri
return args;
}
/**
* Execute command via Docker
*/
async function runDocker(
config: SecureConfig["sandbox"],
command: string,
stdin?: string
): Promise<SandboxResult> {
const startTime = Date.now();
return new Promise((resolve) => {
const args = buildDockerArgs(config, command);
const proc = spawn("docker", args, {
stdio: ["pipe", "pipe", "pipe"],
});
let stdout = "";
let stderr = "";
let timedOut = false;
let resolved = false;
const finish = (exitCode: number) => {
if (resolved) return;
resolved = true;
resolve({
exitCode,
stdout: stdout.slice(0, 10000), // Limit output size
stderr: stderr.slice(0, 10000),
timedOut,
durationMs: Date.now() - startTime,
});
};
// Timeout
const timeout = setTimeout(() => {
timedOut = true;
proc.kill("SIGKILL");
}, config.timeoutMs);
proc.stdout?.on("data", (data: Buffer) => {
stdout += data.toString();
// Prevent memory exhaustion
if (stdout.length > 100000) {
proc.kill("SIGKILL");
}
});
proc.stderr?.on("data", (data: Buffer) => {
stderr += data.toString();
if (stderr.length > 100000) {
proc.kill("SIGKILL");
}
});
proc.on("error", (err) => {
clearTimeout(timeout);
stderr += `\nProcess error: ${err.message}`;
finish(1);
});
proc.on("close", (code) => {
clearTimeout(timeout);
finish(code ?? 1);
});
// Write stdin if provided
if (stdin && proc.stdin) {
proc.stdin.write(stdin);
proc.stdin.end();
} else {
proc.stdin?.end();
}
});
}
export function createSandboxRunner(config: SecureConfig, audit: AuditLogger): SandboxRunner {
const sandboxConfig = config.sandbox;
// Detect available backend at creation time
let detectedBackend: "docker" | "piston" | "none" = "none";
let backendChecked = false;
async function detectBackend(): Promise<"docker" | "piston" | "none"> {
if (backendChecked) return detectedBackend;
if (!sandboxConfig.enabled) {
detectedBackend = "none";
backendChecked = true;
return detectedBackend;
}
// Try Docker first
if (await checkDocker()) {
detectedBackend = "docker";
console.log("[sandbox] Using Docker backend");
} else if (await checkPiston()) {
// Fall back to Piston API
detectedBackend = "piston";
console.log("[sandbox] Using Piston API backend (Docker not available)");
} else {
detectedBackend = "none";
console.log("[sandbox] No sandbox backend available");
}
backendChecked = true;
return detectedBackend;
}
// Start detection immediately
void detectBackend();
return {
get backend() {
return detectedBackend;
},
async isAvailable(): Promise<boolean> {
if (!sandboxConfig.enabled) return false;
return checkDocker();
const backend = await detectBackend();
return backend !== "none";
},
async run(command: string, stdin?: string): Promise<SandboxResult> {
const backend = await detectBackend();
const startTime = Date.now();
if (!sandboxConfig.enabled) {
if (backend === "none") {
return {
exitCode: 1,
stdout: "",
stderr: "Sandbox is disabled",
stderr: "Sandbox is disabled or no backend available",
timedOut: false,
durationMs: 0,
};
}
return new Promise((resolve) => {
const args = buildDockerArgs(sandboxConfig, command);
let result: SandboxResult;
const proc = spawn("docker", args, {
stdio: ["pipe", "pipe", "pipe"],
});
if (backend === "docker") {
result = await runDocker(sandboxConfig, command, stdin);
} else {
// Piston: run as bash
result = await runPiston("bash", command, sandboxConfig.timeoutMs);
}
let stdout = "";
let stderr = "";
let timedOut = false;
let resolved = false;
const finish = (exitCode: number) => {
if (resolved) return;
resolved = true;
const durationMs = Date.now() - startTime;
audit.sandbox({
command,
exitCode,
durationMs,
});
resolve({
exitCode,
stdout: stdout.slice(0, 10000), // Limit output size
stderr: stderr.slice(0, 10000),
timedOut,
durationMs,
});
};
// Timeout
const timeout = setTimeout(() => {
timedOut = true;
proc.kill("SIGKILL");
}, sandboxConfig.timeoutMs);
proc.stdout?.on("data", (data: Buffer) => {
stdout += data.toString();
// Prevent memory exhaustion
if (stdout.length > 100000) {
proc.kill("SIGKILL");
}
});
proc.stderr?.on("data", (data: Buffer) => {
stderr += data.toString();
if (stderr.length > 100000) {
proc.kill("SIGKILL");
}
});
proc.on("error", (err) => {
clearTimeout(timeout);
stderr += `\nProcess error: ${err.message}`;
finish(1);
});
proc.on("close", (code) => {
clearTimeout(timeout);
finish(code ?? 1);
});
// Write stdin if provided
if (stdin && proc.stdin) {
proc.stdin.write(stdin);
proc.stdin.end();
} else {
proc.stdin?.end();
}
audit.sandbox({
command,
exitCode: result.exitCode,
durationMs: result.durationMs,
});
return result;
},
async runCode(language: string, code: string): Promise<SandboxResult> {
const backend = await detectBackend();
if (backend === "none") {
return {
exitCode: 1,
stdout: "",
stderr: "Sandbox is disabled or no backend available",
timedOut: false,
durationMs: 0,
};
}
let result: SandboxResult;
if (backend === "piston") {
// Use Piston directly for language support
result = await runPiston(language, code, sandboxConfig.timeoutMs);
} else {
// Docker: build command for the language
const command = buildCommand(language, code);
result = await runDocker(sandboxConfig, command);
}
audit.sandbox({
command: `[${language}] ${code.slice(0, 100)}...`,
exitCode: result.exitCode,
durationMs: result.durationMs,
});
return result;
},
};
}
@ -214,13 +431,12 @@ export function parseSandboxRequest(text: string): {
}
/**
* Build execution command for language
* Build execution command for language (Docker only)
*/
export function buildCommand(language: string, code: string): string {
switch (language.toLowerCase()) {
case "python":
case "py":
// Write code to temp file and execute
return `python3 -c ${JSON.stringify(code)}`;
case "javascript":
@ -234,7 +450,6 @@ export function buildCommand(language: string, code: string): string {
return code;
default:
// Default to shell
return code;
}
}

View File

@ -10,6 +10,7 @@ import type { SecureConfig } from "./config.js";
import type { AuditLogger } from "./audit.js";
import type { AgentCore } from "./agent.js";
import type { Bot } from "grammy";
import type { Storage } from "./storage.js";
import { sendToUser } from "./telegram.js";
export type ScheduledTask = {
@ -29,7 +30,7 @@ export type Scheduler = {
enableTask: (id: string, enabled: boolean) => boolean;
listTasks: () => ScheduledTask[];
runTask: (id: string) => Promise<void>;
start: () => void;
start: () => Promise<void>;
stop: () => void;
};
@ -38,6 +39,7 @@ export type SchedulerDeps = {
audit: AuditLogger;
agent: AgentCore;
telegramBot: Bot;
storage?: Storage;
};
function generateId(): string {
@ -45,7 +47,7 @@ function generateId(): string {
}
export function createScheduler(deps: SchedulerDeps): Scheduler {
const { config, audit, agent, telegramBot } = deps;
const { config, audit, agent, telegramBot, storage } = deps;
const tasks = new Map<string, ScheduledTask>();
const cronJobs = new Map<string, CronJob<null, unknown>>();
@ -68,6 +70,11 @@ export function createScheduler(deps: SchedulerDeps): Scheduler {
task.lastStatus = "ok";
task.lastError = undefined;
// Save updated task status
if (storage) {
void storage.saveTask(task);
}
audit.cron({
jobId: task.id,
jobName: task.name,
@ -81,6 +88,11 @@ export function createScheduler(deps: SchedulerDeps): Scheduler {
task.lastStatus = "error";
task.lastError = errorMsg;
// Save updated task status
if (storage) {
void storage.saveTask(task);
}
audit.cron({
jobId: task.id,
jobName: task.name,
@ -133,6 +145,10 @@ export function createScheduler(deps: SchedulerDeps): Scheduler {
const task: ScheduledTask = { ...taskInput, id };
tasks.set(id, task);
scheduleTask(task);
// Persist to storage
if (storage) {
void storage.saveTask(task);
}
return id;
},
@ -147,6 +163,10 @@ export function createScheduler(deps: SchedulerDeps): Scheduler {
}
tasks.delete(id);
// Remove from storage
if (storage) {
void storage.deleteTask(id);
}
return true;
},
@ -171,13 +191,23 @@ export function createScheduler(deps: SchedulerDeps): Scheduler {
await executeTask(task);
},
start(): void {
async start(): Promise<void> {
if (!config.scheduler.enabled) {
console.log("[scheduler] Scheduler is disabled");
return;
}
console.log("[scheduler] Starting scheduler...");
// Load tasks from storage
if (storage) {
const storedTasks = await storage.getAllTasks();
for (const task of storedTasks) {
tasks.set(task.id, task);
}
console.log(`[scheduler] Loaded ${storedTasks.length} tasks from storage`);
}
for (const task of tasks.values()) {
scheduleTask(task);
}

584
secure/storage.ts Normal file
View File

@ -0,0 +1,584 @@
/**
* AssureBot - Storage Layer
*
* PostgreSQL for persistent data (tasks, profiles, traits)
* Redis for caching and sessions
*/
import type { ScheduledTask } from "./scheduler.js";
export type StorageConfig = {
postgres?: {
url: string;
};
redis?: {
url: string;
};
};
export type Storage = {
// Tasks
saveTask: (task: ScheduledTask) => Promise<void>;
getTask: (id: string) => Promise<ScheduledTask | null>;
getAllTasks: () => Promise<ScheduledTask[]>;
deleteTask: (id: string) => Promise<boolean>;
// Conversations (Redis cache)
getConversation: (userId: number) => Promise<ConversationMessage[]>;
saveConversation: (userId: number, messages: ConversationMessage[]) => Promise<void>;
clearConversation: (userId: number) => Promise<void>;
// Personality (Redis + PostgreSQL)
getUserProfile: (userId: number) => Promise<UserProfile | null>;
saveUserProfile: (profile: UserProfile) => Promise<void>;
getPersonalityTraits: () => Promise<PersonalityTraits | null>;
savePersonalityTraits: (traits: PersonalityTraits) => Promise<void>;
// Health
isHealthy: () => Promise<boolean>;
close: () => Promise<void>;
};
export type ConversationMessage = {
role: "user" | "assistant";
content: string;
timestamp?: string;
};
export type UserProfile = {
userId: number;
name?: string;
timezone?: string;
preferredTone: "casual" | "professional" | "friendly" | "concise";
interests: string[];
recentTopics: string[];
interactionCount: number;
lastSeen: Date;
notes: string[];
};
export type PersonalityTraits = {
name: string;
greeting: string;
signOff: string;
humor: "none" | "subtle" | "playful";
verbosity: "concise" | "balanced" | "detailed";
commonPhrases: string[];
avoidPhrases: string[];
expertiseAreas: string[];
lastUpdated: Date;
version: number;
};
/**
* In-memory storage (fallback when no DB configured)
*/
function createMemoryStorage(): Storage {
const tasks = new Map<string, ScheduledTask>();
const conversations = new Map<number, ConversationMessage[]>();
const userProfiles = new Map<number, UserProfile>();
let personalityTraits: PersonalityTraits | null = null;
return {
async saveTask(task) {
tasks.set(task.id, task);
},
async getTask(id) {
return tasks.get(id) || null;
},
async getAllTasks() {
return Array.from(tasks.values());
},
async deleteTask(id) {
return tasks.delete(id);
},
async getConversation(userId) {
return conversations.get(userId) || [];
},
async saveConversation(userId, messages) {
conversations.set(userId, messages);
},
async clearConversation(userId) {
conversations.delete(userId);
},
async getUserProfile(userId) {
return userProfiles.get(userId) || null;
},
async saveUserProfile(profile) {
userProfiles.set(profile.userId, profile);
},
async getPersonalityTraits() {
return personalityTraits;
},
async savePersonalityTraits(traits) {
personalityTraits = traits;
},
async isHealthy() {
return true;
},
async close() {
// Nothing to close
},
};
}
/**
* PostgreSQL storage for tasks and personality
*/
async function createPostgresStorage(url: string): Promise<{
saveTask: Storage["saveTask"];
getTask: Storage["getTask"];
getAllTasks: Storage["getAllTasks"];
deleteTask: Storage["deleteTask"];
getUserProfile: Storage["getUserProfile"];
saveUserProfile: Storage["saveUserProfile"];
getPersonalityTraits: Storage["getPersonalityTraits"];
savePersonalityTraits: Storage["savePersonalityTraits"];
isHealthy: () => Promise<boolean>;
close: () => Promise<void>;
}> {
const { default: pg } = await import("pg");
const pool = new pg.Pool({ connectionString: url });
// Create tables if not exist
await pool.query(`
CREATE TABLE IF NOT EXISTS scheduled_tasks (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
schedule TEXT NOT NULL,
prompt TEXT NOT NULL,
enabled BOOLEAN DEFAULT true,
last_run TIMESTAMPTZ,
last_status TEXT,
last_error TEXT,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
)
`);
// User profiles table
await pool.query(`
CREATE TABLE IF NOT EXISTS user_profiles (
user_id BIGINT PRIMARY KEY,
name TEXT,
timezone TEXT,
preferred_tone TEXT DEFAULT 'friendly',
interests JSONB DEFAULT '[]',
recent_topics JSONB DEFAULT '[]',
interaction_count INTEGER DEFAULT 0,
last_seen TIMESTAMPTZ DEFAULT NOW(),
notes JSONB DEFAULT '[]',
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
)
`);
// Personality traits table (singleton)
await pool.query(`
CREATE TABLE IF NOT EXISTS personality_traits (
id INTEGER PRIMARY KEY DEFAULT 1 CHECK (id = 1),
name TEXT DEFAULT 'AssureBot',
greeting TEXT DEFAULT 'Hey',
sign_off TEXT DEFAULT '',
humor TEXT DEFAULT 'subtle',
verbosity TEXT DEFAULT 'balanced',
common_phrases JSONB DEFAULT '[]',
avoid_phrases JSONB DEFAULT '[]',
expertise_areas JSONB DEFAULT '["coding", "analysis", "automation"]',
last_updated TIMESTAMPTZ DEFAULT NOW(),
version INTEGER DEFAULT 1
)
`);
console.log("[storage] PostgreSQL connected, tables ready");
return {
async saveTask(task) {
await pool.query(
`INSERT INTO scheduled_tasks (id, name, schedule, prompt, enabled, last_run, last_status, last_error, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, NOW())
ON CONFLICT (id) DO UPDATE SET
name = $2, schedule = $3, prompt = $4, enabled = $5,
last_run = $6, last_status = $7, last_error = $8, updated_at = NOW()`,
[
task.id,
task.name,
task.schedule,
task.prompt,
task.enabled,
task.lastRun || null,
task.lastStatus || null,
task.lastError || null,
]
);
},
async getTask(id) {
const result = await pool.query(
"SELECT * FROM scheduled_tasks WHERE id = $1",
[id]
);
if (result.rows.length === 0) return null;
return rowToTask(result.rows[0]);
},
async getAllTasks() {
const result = await pool.query("SELECT * FROM scheduled_tasks ORDER BY created_at");
return result.rows.map(rowToTask);
},
async deleteTask(id) {
const result = await pool.query(
"DELETE FROM scheduled_tasks WHERE id = $1",
[id]
);
return (result.rowCount ?? 0) > 0;
},
async getUserProfile(userId) {
const result = await pool.query(
"SELECT * FROM user_profiles WHERE user_id = $1",
[userId]
);
if (result.rows.length === 0) return null;
return rowToUserProfile(result.rows[0]);
},
async saveUserProfile(profile) {
await pool.query(
`INSERT INTO user_profiles (user_id, name, timezone, preferred_tone, interests, recent_topics, interaction_count, last_seen, notes, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())
ON CONFLICT (user_id) DO UPDATE SET
name = $2, timezone = $3, preferred_tone = $4, interests = $5,
recent_topics = $6, interaction_count = $7, last_seen = $8, notes = $9, updated_at = NOW()`,
[
profile.userId,
profile.name || null,
profile.timezone || null,
profile.preferredTone,
JSON.stringify(profile.interests),
JSON.stringify(profile.recentTopics),
profile.interactionCount,
profile.lastSeen,
JSON.stringify(profile.notes),
]
);
},
async getPersonalityTraits() {
const result = await pool.query("SELECT * FROM personality_traits WHERE id = 1");
if (result.rows.length === 0) return null;
return rowToTraits(result.rows[0]);
},
async savePersonalityTraits(traits) {
await pool.query(
`INSERT INTO personality_traits (id, name, greeting, sign_off, humor, verbosity, common_phrases, avoid_phrases, expertise_areas, last_updated, version)
VALUES (1, $1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
ON CONFLICT (id) DO UPDATE SET
name = $1, greeting = $2, sign_off = $3, humor = $4, verbosity = $5,
common_phrases = $6, avoid_phrases = $7, expertise_areas = $8, last_updated = $9, version = $10`,
[
traits.name,
traits.greeting,
traits.signOff,
traits.humor,
traits.verbosity,
JSON.stringify(traits.commonPhrases),
JSON.stringify(traits.avoidPhrases),
JSON.stringify(traits.expertiseAreas),
traits.lastUpdated,
traits.version,
]
);
},
async isHealthy() {
try {
await pool.query("SELECT 1");
return true;
} catch {
return false;
}
},
async close() {
await pool.end();
},
};
}
function rowToTask(row: Record<string, unknown>): ScheduledTask {
return {
id: row.id as string,
name: row.name as string,
schedule: row.schedule as string,
prompt: row.prompt as string,
enabled: row.enabled as boolean,
lastRun: row.last_run ? new Date(row.last_run as string) : undefined,
lastStatus: row.last_status as "ok" | "error" | undefined,
lastError: row.last_error as string | undefined,
};
}
function rowToUserProfile(row: Record<string, unknown>): UserProfile {
return {
userId: Number(row.user_id),
name: row.name as string | undefined,
timezone: row.timezone as string | undefined,
preferredTone: row.preferred_tone as UserProfile["preferredTone"],
interests: (row.interests as string[]) || [],
recentTopics: (row.recent_topics as string[]) || [],
interactionCount: row.interaction_count as number,
lastSeen: new Date(row.last_seen as string),
notes: (row.notes as string[]) || [],
};
}
function rowToTraits(row: Record<string, unknown>): PersonalityTraits {
return {
name: row.name as string,
greeting: row.greeting as string,
signOff: row.sign_off as string,
humor: row.humor as PersonalityTraits["humor"],
verbosity: row.verbosity as PersonalityTraits["verbosity"],
commonPhrases: (row.common_phrases as string[]) || [],
avoidPhrases: (row.avoid_phrases as string[]) || [],
expertiseAreas: (row.expertise_areas as string[]) || [],
lastUpdated: new Date(row.last_updated as string),
version: row.version as number,
};
}
/**
* Redis storage for conversations/cache and personality caching
*/
async function createRedisStorage(url: string): Promise<{
getConversation: Storage["getConversation"];
saveConversation: Storage["saveConversation"];
clearConversation: Storage["clearConversation"];
getUserProfile: Storage["getUserProfile"];
saveUserProfile: Storage["saveUserProfile"];
getPersonalityTraits: Storage["getPersonalityTraits"];
savePersonalityTraits: Storage["savePersonalityTraits"];
isHealthy: () => Promise<boolean>;
close: () => Promise<void>;
}> {
const { createClient } = await import("redis");
const client = createClient({ url });
client.on("error", (err) => console.error("[redis] Error:", err));
await client.connect();
console.log("[storage] Redis connected");
const CONVERSATION_TTL = 60 * 60 * 24; // 24 hours
const PROFILE_TTL = 60 * 60 * 24 * 7; // 7 days
const TRAITS_TTL = 60 * 60 * 24 * 30; // 30 days
const MAX_MESSAGES = 50;
return {
async getConversation(userId) {
const key = `conv:${userId}`;
const data = await client.get(key);
if (!data) return [];
try {
return JSON.parse(data) as ConversationMessage[];
} catch {
return [];
}
},
async saveConversation(userId, messages) {
const key = `conv:${userId}`;
// Keep only last N messages
const trimmed = messages.slice(-MAX_MESSAGES);
await client.setEx(key, CONVERSATION_TTL, JSON.stringify(trimmed));
},
async clearConversation(userId) {
const key = `conv:${userId}`;
await client.del(key);
},
async getUserProfile(userId) {
const key = `profile:${userId}`;
const data = await client.get(key);
if (!data) return null;
try {
const parsed = JSON.parse(data);
return {
...parsed,
lastSeen: new Date(parsed.lastSeen),
} as UserProfile;
} catch {
return null;
}
},
async saveUserProfile(profile) {
const key = `profile:${profile.userId}`;
await client.setEx(key, PROFILE_TTL, JSON.stringify(profile));
},
async getPersonalityTraits() {
const key = "personality:traits";
const data = await client.get(key);
if (!data) return null;
try {
const parsed = JSON.parse(data);
return {
...parsed,
lastUpdated: new Date(parsed.lastUpdated),
} as PersonalityTraits;
} catch {
return null;
}
},
async savePersonalityTraits(traits) {
const key = "personality:traits";
await client.setEx(key, TRAITS_TTL, JSON.stringify(traits));
},
async isHealthy() {
try {
await client.ping();
return true;
} catch {
return false;
}
},
async close() {
await client.quit();
},
};
}
/**
* Create storage based on config
* Strategy:
* - Redis: fast cache for conversations, profiles, traits
* - PostgreSQL: durable backing store for profiles, traits, tasks
* - Memory: fallback when neither is available
*/
export async function createStorage(config: StorageConfig): Promise<Storage> {
const memory = createMemoryStorage();
let pgStorage: Awaited<ReturnType<typeof createPostgresStorage>> | null = null;
let redisStorage: Awaited<ReturnType<typeof createRedisStorage>> | null = null;
// Try PostgreSQL
if (config.postgres?.url) {
try {
pgStorage = await createPostgresStorage(config.postgres.url);
} catch (err) {
console.error("[storage] PostgreSQL connection failed, using memory:", err);
}
}
// Try Redis
if (config.redis?.url) {
try {
redisStorage = await createRedisStorage(config.redis.url);
} catch (err) {
console.error("[storage] Redis connection failed, using memory:", err);
}
}
// Create layered personality storage (Redis cache -> PostgreSQL backing -> memory fallback)
async function getUserProfile(userId: number): Promise<UserProfile | null> {
// Try Redis cache first
if (redisStorage) {
const cached = await redisStorage.getUserProfile(userId);
if (cached) return cached;
}
// Try PostgreSQL
if (pgStorage) {
const profile = await pgStorage.getUserProfile(userId);
// Cache in Redis if found
if (profile && redisStorage) {
await redisStorage.saveUserProfile(profile);
}
return profile;
}
// Fallback to memory
return memory.getUserProfile(userId);
}
async function saveUserProfile(profile: UserProfile): Promise<void> {
// Save to PostgreSQL (durable)
if (pgStorage) {
await pgStorage.saveUserProfile(profile);
}
// Cache in Redis
if (redisStorage) {
await redisStorage.saveUserProfile(profile);
}
// Also update memory for consistency
await memory.saveUserProfile(profile);
}
async function getPersonalityTraits(): Promise<PersonalityTraits | null> {
// Try Redis cache first
if (redisStorage) {
const cached = await redisStorage.getPersonalityTraits();
if (cached) return cached;
}
// Try PostgreSQL
if (pgStorage) {
const traits = await pgStorage.getPersonalityTraits();
// Cache in Redis if found
if (traits && redisStorage) {
await redisStorage.savePersonalityTraits(traits);
}
return traits;
}
// Fallback to memory
return memory.getPersonalityTraits();
}
async function savePersonalityTraits(traits: PersonalityTraits): Promise<void> {
// Save to PostgreSQL (durable)
if (pgStorage) {
await pgStorage.savePersonalityTraits(traits);
}
// Cache in Redis
if (redisStorage) {
await redisStorage.savePersonalityTraits(traits);
}
// Also update memory for consistency
await memory.savePersonalityTraits(traits);
}
return {
// Tasks: prefer PostgreSQL, fallback to memory
saveTask: pgStorage?.saveTask ?? memory.saveTask,
getTask: pgStorage?.getTask ?? memory.getTask,
getAllTasks: pgStorage?.getAllTasks ?? memory.getAllTasks,
deleteTask: pgStorage?.deleteTask ?? memory.deleteTask,
// Conversations: prefer Redis, fallback to memory
getConversation: redisStorage?.getConversation ?? memory.getConversation,
saveConversation: redisStorage?.saveConversation ?? memory.saveConversation,
clearConversation: redisStorage?.clearConversation ?? memory.clearConversation,
// Personality: layered (Redis cache -> PostgreSQL -> memory)
getUserProfile,
saveUserProfile,
getPersonalityTraits,
savePersonalityTraits,
async isHealthy() {
const pgOk = pgStorage ? await pgStorage.isHealthy() : true;
const redisOk = redisStorage ? await redisStorage.isHealthy() : true;
return pgOk && redisOk;
},
async close() {
await pgStorage?.close();
await redisStorage?.close();
},
};
}

View File

@ -9,6 +9,10 @@ import { Bot, Context } from "grammy";
import type { SecureConfig } from "./config.js";
import type { AuditLogger } from "./audit.js";
import type { AgentCore, ConversationStore, ImageContent } from "./agent.js";
import type { SandboxRunner } from "./sandbox.js";
import type { Scheduler } from "./scheduler.js";
import type { Personality } from "./personality.js";
import { extractText, summarizeDocument } from "./documents.js";
export type TelegramBot = {
bot: Bot;
@ -21,6 +25,9 @@ export type TelegramDeps = {
audit: AuditLogger;
agent: AgentCore;
conversations: ConversationStore;
sandbox?: SandboxRunner;
scheduler?: Scheduler;
personality?: Personality;
onWebhookMessage?: (userId: number, text: string) => void;
};
@ -37,7 +44,7 @@ function formatUsername(ctx: Context): string {
}
export function createTelegramBot(deps: TelegramDeps): TelegramBot {
const { config, audit, agent, conversations } = deps;
const { config, audit, agent, conversations, sandbox, scheduler, personality } = deps;
const bot = new Bot(config.telegram.botToken);
// Error handler
@ -70,6 +77,9 @@ Commands:
/start - Show this message
/clear - Clear conversation history
/status - Check bot status
/sandbox <code> - Run code in sandbox
/schedule <cron> <task> - Schedule a task
/tasks - List scheduled tasks
/help - Show help
Features:
@ -124,21 +134,183 @@ Features:
- Chat with AI (text messages)
- Image analysis (send photos)
- Forward content for analysis
- Receive webhook notifications
- Run code in isolated sandbox
- Schedule recurring AI tasks
Commands:
/start - Welcome message
/clear - Clear conversation history
/status - Bot status
/sandbox <code> - Run code in sandbox
/schedule "<cron>" "<name>" <prompt> - Schedule task
/tasks - List scheduled tasks
/deltask <id> - Delete a task
/help - This message
Security:
- Only authorized users can interact
- All interactions are logged
- No data is sent to third parties (except AI provider)`
- Sandbox runs in isolated Docker (no network)`
);
});
// Command: /sandbox <code>
bot.command("sandbox", async (ctx) => {
const userId = ctx.from?.id;
const username = formatUsername(ctx);
if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
return;
}
if (!sandbox) {
await ctx.reply("Sandbox is not configured.");
return;
}
if (!config.sandbox.enabled) {
await ctx.reply("Sandbox is disabled.");
return;
}
const code = ctx.message?.text?.replace(/^\/sandbox\s*/, "").trim() ?? "";
if (!code) {
await ctx.reply("Usage: /sandbox <code>\n\nExample: /sandbox echo Hello World");
return;
}
const startTime = Date.now();
await ctx.replyWithChatAction("typing");
try {
const result = await sandbox.run(code);
const output = result.stdout || result.stderr || "(no output)";
const status = result.exitCode === 0 ? "✓" : `✗ (exit ${result.exitCode})`;
const timeout = result.timedOut ? " [TIMED OUT]" : "";
await ctx.reply(
`**Sandbox Result** ${status}${timeout}\n\`\`\`\n${output.slice(0, 3000)}\n\`\`\`\nDuration: ${result.durationMs}ms`,
{ parse_mode: "Markdown" }
).catch(async () => {
await ctx.reply(`Sandbox Result ${status}${timeout}\n\n${output.slice(0, 3500)}\n\nDuration: ${result.durationMs}ms`);
});
audit.sandbox({
command: code,
exitCode: result.exitCode,
durationMs: result.durationMs,
});
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
audit.error({ error: `Sandbox error: ${errorMsg}`, metadata: { userId, code } });
await ctx.reply(`Sandbox error: ${errorMsg}`);
}
});
// Command: /schedule <cron> <name> <prompt>
bot.command("schedule", async (ctx) => {
const userId = ctx.from?.id;
if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
return;
}
if (!scheduler) {
await ctx.reply("Scheduler is not configured.");
return;
}
if (!config.scheduler.enabled) {
await ctx.reply("Scheduler is disabled.");
return;
}
// Parse: /schedule "*/5 * * * *" "Task Name" What to do
const text = ctx.message?.text?.replace(/^\/schedule\s*/, "").trim() ?? "";
const match = text.match(/^"([^"]+)"\s+"([^"]+)"\s+(.+)$/s);
if (!match) {
await ctx.reply(
`Usage: /schedule "<cron>" "<name>" <prompt>
Example:
/schedule "0 9 * * *" "Morning Brief" Give me a summary of what I should focus on today
Cron format: minute hour day month weekday
- "0 9 * * *" = 9:00 AM daily
- "*/30 * * * *" = Every 30 minutes
- "0 0 * * 1" = Midnight on Mondays`
);
return;
}
const [, cronExpr, name, prompt] = match;
try {
const taskId = scheduler.addTask({
name,
schedule: cronExpr,
prompt,
enabled: true,
});
await ctx.reply(`Task scheduled!\n\nID: ${taskId}\nName: ${name}\nSchedule: ${cronExpr}`);
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
await ctx.reply(`Failed to schedule task: ${errorMsg}`);
}
});
// Command: /tasks
bot.command("tasks", async (ctx) => {
const userId = ctx.from?.id;
if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
return;
}
if (!scheduler) {
await ctx.reply("Scheduler is not configured.");
return;
}
const tasks = scheduler.listTasks();
if (tasks.length === 0) {
await ctx.reply("No scheduled tasks.\n\nUse /schedule to create one.");
return;
}
const lines = tasks.map((t) => {
const status = t.enabled ? "✓" : "✗";
const lastRun = t.lastRun ? t.lastRun.toISOString().slice(0, 16) : "never";
return `${status} **${t.name}** (${t.id})\n ${t.schedule}\n Last: ${lastRun}`;
});
await ctx.reply(`**Scheduled Tasks**\n\n${lines.join("\n\n")}`, { parse_mode: "Markdown" }).catch(async () => {
await ctx.reply(`Scheduled Tasks\n\n${lines.join("\n\n").replace(/\*\*/g, "")}`);
});
});
// Command: /deltask <id>
bot.command("deltask", async (ctx) => {
const userId = ctx.from?.id;
if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
return;
}
if (!scheduler) {
await ctx.reply("Scheduler is not configured.");
return;
}
const taskId = ctx.message?.text?.replace(/^\/deltask\s*/, "").trim() ?? "";
if (!taskId) {
await ctx.reply("Usage: /deltask <task_id>");
return;
}
if (scheduler.removeTask(taskId)) {
await ctx.reply(`Task ${taskId} deleted.`);
} else {
await ctx.reply(`Task ${taskId} not found.`);
}
});
// Handle all text messages
bot.on("message:text", async (ctx) => {
const userId = ctx.from?.id;
@ -173,12 +345,22 @@ Security:
// Get conversation history
const history = conversations.get(userId);
// Call AI
const response = await agent.chat(history);
// Get personalized system prompt if personality is configured
const systemPrompt = personality
? await personality.getSystemPrompt(userId)
: undefined;
// Call AI with optional personalized system prompt
const response = await agent.chat(history, systemPrompt);
// Add assistant response to history
conversations.add(userId, { role: "assistant", content: response.text });
// Learn from this conversation
if (personality) {
await personality.learnFromConversation(userId, text, response.text);
}
// Send response
await ctx.reply(response.text, { parse_mode: "Markdown" }).catch(async () => {
// Fallback without markdown if it fails
@ -332,13 +514,95 @@ Security:
// Handle documents
bot.on("message:document", async (ctx) => {
const userId = ctx.from?.id;
const username = formatUsername(ctx);
if (!userId || !isUserAllowed(userId, config.telegram.allowedUsers)) {
audit.messageBlocked({
userId: userId || 0,
username,
reason: "User not in allowlist",
});
return;
}
await ctx.reply(
"I received your document. Document analysis coming soon - for now, please copy/paste the text content."
);
const doc = ctx.message?.document;
if (!doc) {
await ctx.reply("Could not process document.");
return;
}
const startTime = Date.now();
const caption = ctx.message?.caption || "Please analyze this document and summarize the key points.";
try {
await ctx.replyWithChatAction("typing");
// Check file size (max 20MB)
if (doc.file_size && doc.file_size > 20 * 1024 * 1024) {
await ctx.reply("Document too large (max 20MB).");
return;
}
// Get file info
const file = await ctx.api.getFile(doc.file_id);
if (!file.file_path) {
await ctx.reply("Could not download document.");
return;
}
// Download the file
const fileUrl = `https://api.telegram.org/file/bot${config.telegram.botToken}/${file.file_path}`;
const response = await fetch(fileUrl);
if (!response.ok) {
await ctx.reply("Failed to download document.");
return;
}
const buffer = Buffer.from(await response.arrayBuffer());
const mimeType = doc.mime_type || "application/octet-stream";
// Extract text
const extracted = await extractText(buffer, mimeType, doc.file_name);
if (extracted.format === "unsupported") {
await ctx.reply(
`Unsupported document format: ${mimeType}\n\nSupported: PDF, TXT, MD, JSON, CSV, code files`
);
return;
}
if (extracted.format === "pdf-error") {
await ctx.reply(`Could not parse PDF: ${extracted.text}`);
return;
}
// Analyze with AI
const result = await agent.chat([
{
role: "user",
content: `${caption}\n\n--- Document Content (${summarizeDocument(extracted)}) ---\n\n${extracted.text}`,
},
]);
await ctx.reply(result.text, { parse_mode: "Markdown" }).catch(async () => {
await ctx.reply(result.text);
});
audit.message({
userId,
username,
text: `[DOCUMENT: ${doc.file_name || "unnamed"}] ${caption}`,
response: result.text,
durationMs: Date.now() - startTime,
});
} catch (err) {
const errorMsg = err instanceof Error ? err.message : String(err);
audit.error({
error: `Failed to analyze document: ${errorMsg}`,
metadata: { userId, username, filename: doc.file_name },
});
await ctx.reply("Sorry, I couldn't analyze that document. Please try again.");
}
});
return {