Files
GMW/services/discord-gateway/src/shared/config/index.ts
T
asepharyana bcb563ea7f feat(vision): route multimodal analysis to dedicated NVIDIA direct endpoint
- config: add AI_LLM_VISION_BASE_URL + AI_LLM_VISION_API_KEY (separate from text router)
- llmClient: llmVision() now calls dedicated vision endpoint when configured
  (axios POST to integrate.api.nvidia.com, model nvidia/nemotron-3-nano-omni-30b-a3b-reasoning,
  reasoning_budget 16384, non-stream), falls back to router combo otherwise
- keeps text/moderation on omniroute, vision on NVIDIA direct
2026-08-15 14:31:53 +07:00

370 lines
16 KiB
TypeScript
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
/**
* Unified configuration schema shared by all services.
*
* This is the single source of truth for all environment variables.
* Individual services re-export from here; they do NOT define their own schemas.
*/
import { z } from "zod";
import { ConfigError } from "../errors/index.js";
export const configSchema = z
.object({
// ── Discord ──────────────────────────────────────────────────────────
DISCORD_TOKEN: z
.string()
.min(1, "DISCORD_TOKEN is required")
.transform((value) => value.replace(/^("|')|(?:("|'))$/g, "")),
MONITOR_GUILD_IDS: z
.string()
.default("")
.transform((v) => v.split(",").filter(Boolean)),
MONITOR_GUILD_ID: z.string().min(1).optional(),
TEXT_GUILD_ID: z.string().min(1).optional(),
TEXT_CHANNEL_ID: z.string().min(1).optional(),
EXCLUDED_CHANNEL_IDS: z
.string()
.default("")
.transform((v) => v.split(",").filter(Boolean))
.describe("Channel IDs to exclude from capture"),
EXCLUDED_THREAD_IDS: z
.string()
.default("")
.transform((v) => v.split(",").filter(Boolean))
.describe("Thread IDs to exclude from capture"),
// ── Legacy voice ─────────────────────────────────────────────────────
VOICE_GUILD_ID: z.string().min(1).optional(),
VOICE_CHANNEL_ID: z.string().min(1).optional(),
// ── Recording ────────────────────────────────────────────────────────
RECORDINGS_DIR: z.string().default("./recordings"),
RECORDING_SEGMENT_MS: z.coerce.number().positive().default(5000),
// ── Decoder ──────────────────────────────────────────────────────────
DECODER_ROTATE_MS: z.coerce.number().positive().default(5000),
DECODER_COOLDOWN_MS: z.coerce.number().positive().default(30000),
// ── Audio ────────────────────────────────────────────────────────────
AUDIO_STREAM_SILENCE_DURATION_MS: z.coerce
.number()
.positive()
.default(3000),
PACKET_FILTER_MIN_SIZE: z.coerce.number().positive().default(8),
OPUS_FRAME_SIZE: z.coerce.number().positive().default(960),
AUDIO_SAMPLE_RATE: z.coerce.number().positive().default(48000),
AUDIO_CHANNELS: z.coerce.number().positive().default(2),
AVATAR_SIZE: z.coerce.number().positive().default(64),
// ── Server ───────────────────────────────────────────────────────────
WEBSERVER_PORT: z.coerce.number().positive().default(3001),
NODE_ENV: z
.enum(["development", "production", "test"])
.default("development"),
LOG_LEVEL: z
.enum(["error", "warn", "info", "http", "verbose", "debug", "silly"])
.default("info"),
VERBOSE: z
.string()
.optional()
.transform((v) => v === "true")
.default(false),
ADMIN_PASSWORD: z.string().default("admin123"),
WEBHOOK_URLS: z
.string()
.default("")
.transform((v) => v.split(",").filter(Boolean)),
WEBHOOK_EVENTS: z
.string()
.default("message_flagged,auto_deleted,high_severity")
.transform((v) => v.split(",").filter(Boolean)),
METRICS_PORT: z.coerce.number().positive().default(9090),
// ── Database (PostgreSQL) ────────────────────────────────────────────
DATABASE_URL: z.string().optional(),
POSTGRES_HOST: z.string().default("localhost"),
POSTGRES_PORT: z.coerce.number().int().positive().default(5432),
POSTGRES_USER: z.string().optional(),
POSTGRES_PASSWORD: z.string().optional(),
POSTGRES_DB: z.string().optional(),
POSTGRES_POOL_MIN: z.coerce.number().int().positive().default(2),
POSTGRES_POOL_MAX: z.coerce.number().int().positive().default(10),
// ── Redis ────────────────────────────────────────────────────────────
REDIS_URL: z.string().default("redis://localhost:6379"),
// ── SearXNG ───────────────────────────────────────────────────────────
// Instance for web search + term glossary lookups. Override when the
// default instance is down/rate-limited.
SEARXNG_BASE_URL: z.string().url().default("https://searxng.imrnes.team"),
// ── Voice PCM WebSocket (direct gateway→backend, bypasses Redis) ────
VOICE_PCM_WS_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
BACKEND_WS_URL: z.string().default("ws://backend:3000/ws"),
BACKEND_WS_TOKEN: z.string().optional().default(""),
// ── Connection ───────────────────────────────────────────────────────
VOICE_CONNECTION_TIMEOUT_MS: z.coerce.number().positive().default(15000),
RECONNECT_TIMEOUT_MS: z.coerce.number().positive().default(5000),
// ── Attachments ─────────────────────────────────────────────────────
TELE_UPLOAD_URL: z
.string()
.url()
.default("https://upload.asepharyana.my.id/api/upload"),
ATTACHMENT_UPLOAD_TIMEOUT_MS: z.coerce.number().positive().default(30000),
ATTACHMENT_MAX_SIZE_MB: z.coerce.number().positive().default(100),
ATTACHMENT_RETRY_ATTEMPTS: z.coerce.number().positive().default(3),
BACKLOG_SYNC_HOURS: z.coerce.number().positive().default(24),
BACKLOG_SYNC_BATCH_SIZE: z.coerce
.number()
.int()
.positive()
.max(100)
.default(100),
// ── AI Analysis ─────────────────────────────────────────────────────
AI_ANALYSIS_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(false),
AI_LLM_API_KEY: z.string().optional(),
AI_LLM_BASE_URL: z
.string()
.url()
.default("https://9router.asepharyana.my.id/v1"),
AI_LLM_MODEL: z.string().default("text"),
AI_LLM_VISION_MODEL: z.string().default("multimodal"),
// Vision can be routed to a dedicated endpoint (e.g. NVIDIA direct) that is
// separate from the text/moderation router. When both are set, llmVision()
// calls the dedicated vision endpoint directly; otherwise it falls back to
// the shared AI_LLM_BASE_URL with AI_LLM_VISION_MODEL.
AI_LLM_VISION_BASE_URL: z.string().url().optional(),
AI_LLM_VISION_API_KEY: z.string().optional(),
AI_LLM_EMBEDDING_MODEL: z.string().optional(),
AI_LLM_EMBEDDING_MIN_SIMILARITY: z.coerce
.number()
.min(0)
.max(1)
.default(0.97),
AI_LLM_EMBEDDING_MAX_CANDIDATES: z.coerce
.number()
.int()
.positive()
.default(30),
// Qdrant vector store for the semantic moderation cache. When
// QDRANT_URL is set, embeddings are stored/searched there (Postgres
// embedding column remains as a legacy fallback).
QDRANT_URL: z.string().optional(),
QDRANT_COLLECTION: z.string().default("gmw_text_moderation"),
QDRANT_API_KEY: z.string().optional(),
AI_LLM_MAX_CONCURRENT: z.coerce.number().int().positive().default(5),
AI_LLM_IMAGE_MAX_DIMENSION: z.coerce
.number()
.int()
.positive()
.default(1024),
AI_LLM_TEXT_BATCH_SIZE: z.coerce.number().int().positive().default(20),
AI_LLM_MEDIA_ANALYSIS_TIMEOUT_MS: z.coerce
.number()
.int()
.positive()
.default(60000),
// Text-only moderation batches are cheaper than media (no downloads /
// vision pre-pass), so they get their own (shorter) timeout instead of
// being tied to the media budget.
AI_LLM_TEXT_ANALYSIS_TIMEOUT_MS: z.coerce
.number()
.int()
.positive()
.default(30000),
// Term glossary — per-word Wikipedia lookups (via SearXNG) for words the
// LLM may not know (slang, jargon, regional language, foreign terms).
// Definitions are cached (in-memory + Redis) so repeat lookups are fast.
// Disable to skip glossary lookups entirely and analyze without them.
AI_GLOSSARY_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
// Max glossary terms looked up per analysis batch (keeps latency bounded).
AI_GLOSSARY_MAX_TERMS: z.coerce.number().int().min(1).max(20).default(6),
// Min word length for a term to be considered glossary-worthy.
AI_GLOSSARY_MIN_WORD_LENGTH: z.coerce
.number()
.int()
.min(2)
.max(20)
.default(5),
// ── AI Analysis Timing ──────────────────────────────────────────────
AI_ANALYSIS_DEBOUNCE_MS: z.coerce.number().positive().default(500),
AI_ANALYSIS_RECOVERY_INTERVAL_MS: z.coerce
.number()
.positive()
.default(15000),
AI_ANALYSIS_ERROR_COOLDOWN_MS: z.coerce.number().positive().default(30000),
// ── AI Analysis Batch ───────────────────────────────────────────────
AI_ANALYSIS_MAX_BATCH_SIZE: z.coerce.number().int().positive().default(200),
AI_ANALYSIS_MAX_CONTEXT_TOKENS: z.coerce.number().positive().default(8000),
AI_ANALYSIS_MAX_TARGET_TOKENS: z.coerce.number().positive().default(4000),
AI_ANALYSIS_CONTEXT_MESSAGE_LIMIT: z.coerce
.number()
.int()
.positive()
.default(20),
// Recency gates for conversation context. A silence longer than GAP_MS
// between context messages = the conversation restarted (older messages
// dropped); MAX_AGE_MS caps how far back context is considered relevant.
AI_ANALYSIS_CONTEXT_GAP_MS: z.coerce
.number()
.positive()
.default(12 * 60 * 1000),
AI_ANALYSIS_CONTEXT_MAX_AGE_MS: z.coerce
.number()
.positive()
.default(45 * 60 * 1000),
AI_ANALYSIS_PROCESSING_TIMEOUT_MS: z.coerce
.number()
.positive()
.default(120000),
AI_ANALYSIS_INDIVIDUAL_MAX_CONCURRENT: z.coerce
.number()
.int()
.positive()
.default(50),
AI_ANALYSIS_INDIVIDUAL_CB_THRESHOLD: z.coerce
.number()
.int()
.positive()
.default(50),
// Worker pool size. Default 4 (not availableParallelism) because each
// Piscina thread owns its own pLimit(5) semaphore — on big VPSes
// availableParallelism × 5 concurrent LLM calls would overwhelm the
// router. Keep threads modest; concurrency is capped per-thread anyway.
PISCINA_MAX_THREADS: z.coerce.number().int().positive().default(4),
// ── Voice Transcription ────────────────────────────────────────────────
AI_VOICE_TRANSCRIPTION_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(false),
// ── Auto Delete ─────────────────────────────────────────────────────
AUTO_DELETE_FLAGGED_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
AUTO_DELETE_FLAGGED_DRY_RUN: z
.string()
.optional()
.transform((v) => v === "true")
.default(false),
AUTO_DELETE_FLAGGED_DELAY_MS: z.coerce.number().min(0).default(0),
AUTO_DELETE_MIN_CONFIDENCE: z.coerce.number().min(0).max(1).default(0.5),
AUTO_DELETE_ALLOWED_SEVERITIES: z
.string()
.default("critical,high,medium,low"),
AUTO_DELETE_ALLOWED_CATEGORIES: z.string().default(""),
AUTO_DELETE_EXCLUDED_CHANNEL_IDS: z.string().default(""),
AUTO_DELETE_EXCLUDED_USER_IDS: z.string().default(""),
AUTO_DELETE_NOTIFY_USER: z
.string()
.optional()
.transform((v) => v === "true")
.default(false),
AUTO_DELETE_LOG_CHANNEL_ID: z.string().default(""),
// ── Nickname Reset (offensive_username enforcement) ────────────────
// When the only violation is the member's server nickname, reset the
// nickname to the default username instead of deleting the message.
AUTO_NICKNAME_RESET_ENABLED: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
AUTO_NICKNAME_RESET_COOLDOWN_MS: z.coerce
.number()
.positive()
.default(10 * 60 * 1000),
// ── Retention ───────────────────────────────────────────────────────
RETENTION_MESSAGES_DAYS: z.coerce.number().int().min(0).default(0),
RETENTION_ATTACHMENTS_DAYS: z.coerce.number().int().min(0).default(0),
RETENTION_VOICE_DAYS: z.coerce.number().int().min(0).default(0),
RETENTION_CLEANUP_INTERVAL_MS: z.coerce
.number()
.positive()
.default(24 * 60 * 60 * 1000),
RETENTION_DRY_RUN: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
AUTO_MIGRATE_ON_STARTUP: z
.string()
.optional()
.transform((v) => v === "true")
.default(true),
})
.superRefine((value, ctx) => {
if (!value.AI_ANALYSIS_ENABLED) {
// skip: AI analysis not enabled
} else if (!value.AI_LLM_API_KEY) {
ctx.addIssue({
code: z.ZodIssueCode.custom,
path: ["AI_LLM_API_KEY"],
message: "AI_LLM_API_KEY is required when AI_ANALYSIS_ENABLED=true",
});
}
// Validate database configuration
if (!value.DATABASE_URL && !value.POSTGRES_HOST) {
ctx.addIssue({
code: z.ZodIssueCode.custom,
path: ["DATABASE_URL"],
message: "Either DATABASE_URL or POSTGRES_HOST must be provided",
});
}
});
export type AppConfig = z.infer<typeof configSchema> & {
EFFECTIVE_TEXT_GUILD_ID?: string;
EFFECTIVE_VOICE_GUILD_ID?: string;
EFFECTIVE_MONITOR_GUILD_IDS: string[];
};
export function loadConfig(env: NodeJS.ProcessEnv = process.env): AppConfig {
try {
const parsed = configSchema.parse(env);
return {
...parsed,
EFFECTIVE_TEXT_GUILD_ID: parsed.TEXT_GUILD_ID ?? parsed.MONITOR_GUILD_ID,
EFFECTIVE_VOICE_GUILD_ID: parsed.VOICE_GUILD_ID,
EFFECTIVE_MONITOR_GUILD_IDS:
parsed.MONITOR_GUILD_IDS.length > 0
? parsed.MONITOR_GUILD_IDS
: parsed.MONITOR_GUILD_ID
? [parsed.MONITOR_GUILD_ID]
: [],
};
} catch (error) {
if (error instanceof z.ZodError) {
const messages = error.issues
.map((e) => `${e.path.join(".")}: ${e.message}`)
.join("\n");
throw new ConfigError(`Configuration validation failed:\n${messages}`);
}
throw error;
}
}
/** Singleton config loaded from process.env at import time. */
export const config = loadConfig();