Add attention inbox and AI usage observability

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jjbrunton committed 2026-08-09 08:52:32 +01:00
1 parent ca59ba0f1f
commit 83b5f1f5b6
30 files changed
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+96 -22
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@@ -1,6 +1,7 @@
import OpenAI from 'openai';
import type { Config } from '../config/index.js';
import type { Logger } from '../utils/logger.js';
import type { AiUsageRecordInput, AiUsageOutcome } from '../database/ai-usage-repository.js';
import {
formatConversationAsUntrustedData,
isSafeConversationReply,
@@ -29,6 +30,8 @@ interface ProtectedTextPrompt {
user: string;
}
export type AiUsageRecorder = (usage: AiUsageRecordInput) => void;
export class OpenRouterClient {
private client: OpenAI;
@@ -36,6 +39,7 @@ export class OpenRouterClient {
private config: Config,
private logger: Logger,
client?: OpenAI,
private readonly usageRecorder?: AiUsageRecorder,
) {
this.client = client ?? new OpenAI({
baseURL: 'https://openrouter.ai/api/v1',
@@ -48,6 +52,7 @@ export class OpenRouterClient {
}
async detectGenderOnly(imageBase64: string, mimeType: string): Promise<DetectedGender> {
const startedAt = Date.now();
try {
this.logger.debug('Quick gender detection...');
@@ -74,12 +79,14 @@ export class OpenRouterClient {
});
const result = response.choices[0]?.message?.content?.toLowerCase().trim() || 'unknown';
this.recordUsage('detectGender', this.config.openrouter.imageAnalysisModel, startedAt, response, result ? 'success' : 'empty');
if (result.includes('female')) return 'female';
if (result.includes('male') && !result.includes('female')) return 'male';
if (result.includes('other')) return 'other';
return 'unknown';
} catch (error) {
this.recordError('detectGender', this.config.openrouter.imageAnalysisModel, startedAt, error);
this.logger.error('Gender detection failed:', error);
return 'unknown';
}
@@ -134,33 +141,40 @@ export class OpenRouterClient {
}
private async tryAnalyzeWithModel(model: string, imageBase64: string, mimeType: string): Promise<ImageAnalysisResult | null> {
const startedAt = Date.now();
const genderPrompt = `First, identify the gender of the person in this image. Respond with EXACTLY one of these on the first line: GENDER:male, GENDER:female, GENDER:other, or GENDER:unknown
Then provide your analysis:
${this.config.openrouter.imageAnalysisPrompt}`;
const response = await this.client.chat.completions.create({
model,
messages: [
{
role: 'user',
content: [
{
type: 'text',
text: genderPrompt,
},
{
type: 'image_url',
image_url: {
url: `data:${mimeType};base64,${imageBase64}`,
let response;
try {
response = await this.client.chat.completions.create({
model,
messages: [
{
role: 'user',
content: [
{
type: 'text',
text: genderPrompt,
},
},
],
},
],
max_tokens: 600,
});
{
type: 'image_url',
image_url: {
url: `data:${mimeType};base64,${imageBase64}`,
},
},
],
},
],
max_tokens: 600,
});
} catch (error) {
this.recordError('analyzeImage', model, startedAt, error);
throw error;
}
const fullResponse = response.choices[0]?.message?.content || '';
@@ -190,9 +204,12 @@ ${this.config.openrouter.imageAnalysisPrompt}`;
// Detect AI refusal - return null to signal fallback should be tried
if (this.isRefusal(description)) {
this.recordUsage('analyzeImage', model, startedAt, response, 'refusal');
return null;
}
this.recordUsage('analyzeImage', model, startedAt, response, description ? 'success' : 'empty');
this.logger.debug(`Image analysis complete (${model}) - Gender: ${detectedGender}, Rating: ${attractivenessScore ?? 'n/a'}`);
this.logger.debug(`Description: ${description}`);
@@ -480,7 +497,10 @@ Just write the message, nothing else.`;
if (isFallback) {
this.logger.info(`[AI] ${label} trying fallback model: ${model}`);
}
const response = await this.client.chat.completions.create({
const startedAt = Date.now();
let response;
try {
response = await this.client.chat.completions.create({
model,
messages: typeof prompt === 'string'
? [{ role: 'user', content: prompt }]
@@ -490,7 +510,11 @@ Just write the message, nothing else.`;
],
max_tokens: opts.max_tokens,
temperature: opts.temperature,
});
});
} catch (error) {
this.recordError(label, model, startedAt, error);
throw error;
}
const raw = response.choices[0]?.message?.content || '';
const choice = response.choices[0] as unknown as Record<string, unknown> | undefined;
@@ -508,14 +532,18 @@ Just write the message, nothing else.`;
const trimmed = raw.trim();
if (!trimmed) {
this.recordUsage(label, model, startedAt, response, 'empty');
this.logger.warn(`[AI] ${label}: ${model} returned empty content${i < models.length - 1 ? ', trying fallback...' : ''}`);
continue;
}
if (this.isRefusal(trimmed)) {
this.recordUsage(label, model, startedAt, response, 'refusal');
this.logger.warn(`[AI] ${label}: ${model} returned a refusal${i < models.length - 1 ? ', trying fallback...' : ''}`);
continue;
}
this.recordUsage(label, model, startedAt, response, 'success');
if (isFallback) {
this.logger.info(`[AI] ${label}: fallback model ${model} succeeded`);
}
@@ -532,6 +560,48 @@ Just write the message, nothing else.`;
return '';
}
private recordUsage(
operation: string,
requestedModel: string,
startedAt: number,
response: unknown,
outcome: AiUsageOutcome,
): void {
if (!this.usageRecorder) return;
const record = response as Record<string, unknown>;
const usage = (record.usage ?? {}) as Record<string, unknown>;
try {
this.usageRecorder({
operation,
requestedModel,
actualModel: typeof record.model === 'string' ? record.model : requestedModel,
outcome,
promptTokens: numericUsage(usage.prompt_tokens),
completionTokens: numericUsage(usage.completion_tokens),
totalTokens: numericUsage(usage.total_tokens),
costUsd: typeof usage.cost === 'number' && Number.isFinite(usage.cost) ? usage.cost : null,
latencyMs: Date.now() - startedAt,
});
} catch (error) {
this.logger.warn('Failed to persist AI usage accounting:', error);
}
}
private recordError(operation: string, requestedModel: string, startedAt: number, error: unknown): void {
if (!this.usageRecorder) return;
try {
this.usageRecorder({
operation,
requestedModel,
outcome: 'error',
latencyMs: Date.now() - startedAt,
error: error instanceof Error ? error.message : String(error),
});
} catch (recordingError) {
this.logger.warn('Failed to persist AI usage error:', recordingError);
}
}
async analyzeAndGenerateMessage(
imageBase64: string,
mimeType: string,
@@ -547,3 +617,7 @@ Just write the message, nothing else.`;
return { analysis, message };
}
}
function numericUsage(value: unknown): number {
return typeof value === 'number' && Number.isFinite(value) ? Math.max(0, Math.trunc(value)) : 0;
}
+7 -1
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@@ -47,6 +47,7 @@ import type { Cookie } from 'playwright';
import { ChatCache } from './services/chat/cache.js';
import { RedditAccountRuntimeManager } from './services/reddit-account-runtime.js';
import { createConcreteRedditAccountRuntimeFactory } from './services/reddit-account-runtime-builder.js';
import { AiUsageRepository } from './database/ai-usage-repository.js';
import { importLegacyAccountContent } from './database/legacy-content-import.js';
import { RecipientDeduplicator } from './services/recipient-deduplicator.js';
import { createConfigBackedSubredditPollingControl } from './services/subreddit-polling-control.js';
@@ -127,6 +128,7 @@ export async function bootstrap(
const recipientDeduplicator = new RecipientDeduplicator(new RecipientHistoryRepository(db));
const redditAccountsRepo = bootstrapAccountsRepo;
const accountContentRepo = new AccountContentRepository(db);
const aiUsageRepo = new AiUsageRepository(db);
const legacyImport = importLegacyAccountContent(db);
if (legacyImport.conversations > 0 || legacyImport.media > 0) {
logger.info(`Imported legacy unassigned content into SQLite (${legacyImport.conversations} conversations, ${legacyImport.media} media items)`);
@@ -168,7 +170,9 @@ export async function bootstrap(
const chatPage = await browserClient.getContext()!.newPage();
// AI + services
const aiClient = new OpenRouterClient(config, logger);
const aiClient = new OpenRouterClient(config, logger, undefined, (usage) => {
aiUsageRepo.record({ ...usage, accountId: accountAuth.getSnapshot().accountId });
});
const monitorService = new MonitorService(
redditApi, postsRepo, recipientDeduplicator, config, logger, 1000,
createConfigBackedSubredditPollingControl(config, new ConfigStore(db), logger),
@@ -344,6 +348,8 @@ export async function bootstrap(
activityLogRepo,
logger,
broadcaster,
process.cwd(),
aiUsageRepo,
);
webServer.setChatService(chatService);
+130
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@@ -0,0 +1,130 @@
import type Database from 'better-sqlite3';
export type AiUsageOutcome = 'success' | 'refusal' | 'empty' | 'error';
export interface AiUsageRecordInput {
accountId?: string | null;
operation: string;
requestedModel: string;
actualModel?: string | null;
outcome: AiUsageOutcome;
promptTokens?: number;
completionTokens?: number;
totalTokens?: number;
costUsd?: number | null;
latencyMs: number;
error?: string | null;
createdAt?: number;
}
export interface AiUsageModelSummary {
model: string;
requests: number;
successes: number;
refusals: number;
errors: number;
promptTokens: number;
completionTokens: number;
totalTokens: number;
costUsd: number;
averageLatencyMs: number;
}
export interface AiUsageSummary {
days: number;
requests: number;
successes: number;
refusals: number;
errors: number;
promptTokens: number;
completionTokens: number;
totalTokens: number;
costUsd: number;
averageLatencyMs: number;
models: AiUsageModelSummary[];
}
type SummaryRow = {
model?: string;
requests: number;
successes: number;
refusals: number;
errors: number;
prompt_tokens: number;
completion_tokens: number;
total_tokens: number;
cost_usd: number;
average_latency_ms: number;
};
/** Durable, prompt-free accounting for OpenRouter requests. */
export class AiUsageRepository {
constructor(private readonly db: Database.Database) {}
record(input: AiUsageRecordInput): void {
this.db.prepare(`
INSERT INTO ai_usage (
account_id, operation, requested_model, actual_model, outcome,
prompt_tokens, completion_tokens, total_tokens, cost_usd,
latency_ms, error, created_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`).run(
input.accountId ?? null,
input.operation,
input.requestedModel,
input.actualModel ?? null,
input.outcome,
input.promptTokens ?? 0,
input.completionTokens ?? 0,
input.totalTokens ?? 0,
input.costUsd ?? null,
Math.max(0, Math.round(input.latencyMs)),
input.error?.slice(0, 500) ?? null,
input.createdAt ?? Date.now(),
);
}
getSummary(days = 30, now = Date.now()): AiUsageSummary {
const safeDays = Math.max(1, Math.min(365, Math.trunc(days)));
const since = now - safeDays * 86_400_000;
const fields = `
COUNT(*) AS requests,
SUM(CASE WHEN outcome = 'success' THEN 1 ELSE 0 END) AS successes,
SUM(CASE WHEN outcome = 'refusal' THEN 1 ELSE 0 END) AS refusals,
SUM(CASE WHEN outcome IN ('empty', 'error') THEN 1 ELSE 0 END) AS errors,
COALESCE(SUM(prompt_tokens), 0) AS prompt_tokens,
COALESCE(SUM(completion_tokens), 0) AS completion_tokens,
COALESCE(SUM(total_tokens), 0) AS total_tokens,
COALESCE(SUM(cost_usd), 0) AS cost_usd,
COALESCE(ROUND(AVG(latency_ms)), 0) AS average_latency_ms
`;
const total = this.db.prepare(`SELECT ${fields} FROM ai_usage WHERE created_at >= ?`)
.get(since) as SummaryRow;
const models = this.db.prepare(`
SELECT COALESCE(actual_model, requested_model) AS model, ${fields}
FROM ai_usage
WHERE created_at >= ?
GROUP BY COALESCE(actual_model, requested_model)
ORDER BY cost_usd DESC, requests DESC, model ASC
`).all(since) as SummaryRow[];
return {
days: safeDays,
...mapSummary(total),
models: models.map((row) => ({ model: row.model ?? 'unknown', ...mapSummary(row) })),
};
}
}
function mapSummary(row: SummaryRow): Omit<AiUsageModelSummary, 'model'> {
return {
requests: Number(row.requests ?? 0),
successes: Number(row.successes ?? 0),
refusals: Number(row.refusals ?? 0),
errors: Number(row.errors ?? 0),
promptTokens: Number(row.prompt_tokens ?? 0),
completionTokens: Number(row.completion_tokens ?? 0),
totalTokens: Number(row.total_tokens ?? 0),
costUsd: Math.round(Number(row.cost_usd ?? 0) * 1_000_000_000_000) / 1_000_000_000_000,
averageLatencyMs: Number(row.average_latency_ms ?? 0),
};
}
+21
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@@ -251,6 +251,27 @@ export function runMigrations(db: Database.Database): void {
CREATE INDEX idx_conversation_automation_claims_status
ON conversation_automation_claims(account_id, status, claimed_at);
`),
() => db.exec(`
CREATE TABLE IF NOT EXISTS ai_usage (
id INTEGER PRIMARY KEY AUTOINCREMENT,
account_id TEXT,
operation TEXT NOT NULL,
requested_model TEXT NOT NULL,
actual_model TEXT,
outcome TEXT NOT NULL CHECK(outcome IN ('success', 'refusal', 'empty', 'error')),
prompt_tokens INTEGER NOT NULL DEFAULT 0,
completion_tokens INTEGER NOT NULL DEFAULT 0,
total_tokens INTEGER NOT NULL DEFAULT 0,
cost_usd REAL,
latency_ms INTEGER NOT NULL,
error TEXT,
created_at INTEGER NOT NULL,
FOREIGN KEY (account_id) REFERENCES reddit_accounts(account_id) ON DELETE SET NULL
);
CREATE INDEX IF NOT EXISTS idx_ai_usage_created_at ON ai_usage(created_at DESC);
CREATE INDEX IF NOT EXISTS idx_ai_usage_model ON ai_usage(actual_model, requested_model, created_at DESC);
CREATE INDEX IF NOT EXISTS idx_ai_usage_account ON ai_usage(account_id, created_at DESC);
`),
];
let currentVersion = db.pragma('user_version', { simple: true }) as number;
+36
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@@ -227,6 +227,16 @@ export class DeliveryOutboxRepository {
.get(this.accountId) as { count: number }).count;
}
getFailed(limit = 50): DeliveryOutboxRecord[] {
const rows = this.db.prepare(`
SELECT * FROM delivery_outbox
WHERE account_id = ? AND status = 'failed'
ORDER BY updated_at DESC
LIMIT ?
`).all(this.accountId, limit) as Record<string, unknown>[];
return rows.map((row) => this.mapRow(row));
}
markPrepared(id: number, now: number = Date.now()): boolean {
return this.db.prepare(`
UPDATE delivery_outbox SET status = 'prepared', updated_at = ?, last_error = NULL
@@ -1081,6 +1091,32 @@ export class ConversationStateRepository {
const row = this.getStmt.get(this.accountId, conversationId) as { state_json: string } | undefined;
return row ? parseConversationState(row.state_json) ?? undefined : undefined;
}
listAttention(): Array<{
conversationId: string;
status: 'human-required' | 'boundary';
reason: string | null;
updatedAt: number;
}> {
const rows = this.db.prepare(`
SELECT conversation_id, state_json, updated_at
FROM conversation_states
WHERE account_id = ?
ORDER BY updated_at DESC
`).all(this.accountId) as Array<{ conversation_id: string; state_json: string; updated_at: number }>;
return rows.flatMap((row) => {
const state = parseConversationState(row.state_json);
if (!state) return [];
const status = state.automation.status;
if (status !== 'human-required' && status !== 'boundary') return [];
return [{
conversationId: row.conversation_id,
status,
reason: state.automation.handoffReason,
updatedAt: row.updated_at,
}];
});
}
}
/** Durable idempotency claims for AI replies to individual inbound events. */
@@ -43,6 +43,7 @@ import { RecipientDeduplicator } from './recipient-deduplicator.js';
import { ConfigStore } from '../config/persistence.js';
import { createConfigBackedSubredditPollingControl } from './subreddit-polling-control.js';
import { ConversationAutomationService } from './conversation-automation.js';
import { AiUsageRepository } from '../database/ai-usage-repository.js';
export interface ConcreteRuntimeFactoryOptions {
config: Config;
@@ -118,7 +119,10 @@ async function buildRuntime(
const redditApi = new RedditApiClient(accountConfig, logger, redditRequestCoordinator);
redditApi.setBrowserContext(browserClient.getContext()!);
const chatPage = await browserClient.getContext()!.newPage();
const aiClient = new OpenRouterClient(accountConfig, logger);
const aiUsageRepo = new AiUsageRepository(db);
const aiClient = new OpenRouterClient(accountConfig, logger, undefined, (usage) => {
aiUsageRepo.record({ ...usage, accountId: session.accountId });
});
const monitorService = new MonitorService(
redditApi, postsRepo, recipientDeduplicator, accountConfig, logger,
1000, createConfigBackedSubredditPollingControl(config, new ConfigStore(db), logger),
+2
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@@ -94,6 +94,8 @@ export const API_OPERATIONS: readonly ApiOperation[] = [
operation('getStrategyAnalytics', 'GET', '/api/analytics/by-strategy', 'Get performance by strategy', ['Analytics']),
operation('getFunnelAnalytics', 'GET', '/api/analytics/funnel', 'Get mature message outcome funnel', ['Analytics']),
operation('getAnalyticsTrend', 'GET', '/api/analytics/trend', 'Get daily performance trend', ['Analytics']),
operation('getAiUsageAnalytics', 'GET', '/api/analytics/ai-usage', 'Get OpenRouter cost and model reliability', ['Analytics']),
operation('getAttention', 'GET', '/api/attention', 'Get operator attention items', ['Operations']),
operation('getConfig', 'GET', '/api/config', 'Get non-secret application configuration', ['Configuration']),
operation('updateConfig', 'PUT', '/api/config', 'Update application configuration', ['Configuration']),
operation('getLoginStatus', 'GET', '/api/login/status', 'Get Reddit session state', ['Accounts']),
+2
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@@ -22,6 +22,7 @@ import type { AccountAuthContext } from '../services/account-auth-context.js';
import type { ConfigStore } from '../config/persistence.js';
import type { RedditAccountsService } from '../services/reddit-accounts.js';
import type { RedditAccountRuntimeManager } from '../services/reddit-account-runtime.js';
import type { AiUsageRepository } from '../database/ai-usage-repository.js';
/** Bag of everything the route modules might need. */
export interface WebContext {
@@ -35,6 +36,7 @@ export interface WebContext {
posts: PostsRepository;
messages: MessagesRepository;
successful: SuccessfulMessagesRepository;
aiUsage?: AiUsageRepository;
};
services: {
+9
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@@ -37,5 +37,14 @@ export function createAnalyticsRouter(ctx: WebContext): Router {
res.json(ctx.repos.messages.getResponseRateTrend(days));
});
router.get('/analytics/ai-usage', (req, res) => {
if (!ctx.repos.aiUsage) {
res.status(503).json({ error: 'AI usage accounting is not initialized' });
return;
}
const days = parseInt(req.query.days as string) || 30;
res.json(ctx.repos.aiUsage.getSummary(days));
});
return router;
}
+103
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@@ -0,0 +1,103 @@
import { Router } from 'express';
import type { WebContext } from '../context.js';
interface AttentionItem {
id: string;
kind: 'human-required' | 'boundary' | 'failed-delivery' | 'account-login-required' | 'runtime-failed' | 'invitation-cooldown';
severity: 'warning' | 'critical';
title: string;
detail: string;
occurredAt: number;
owner?: { accountId: string; redditUsername: string };
conversationId?: string;
username?: string;
}
export function createAttentionRouter(ctx: WebContext): Router {
const router = Router();
router.get('/attention', async (_req, res) => {
const items: AttentionItem[] = [];
const accounts = ctx.services.redditAccounts?.list() ?? [];
for (const account of accounts) {
if (account.status !== 'login-required') continue;
items.push({
id: `account:${account.accountId}`,
kind: 'account-login-required',
severity: 'critical',
title: `u/${account.redditUsername} needs a new session`,
detail: 'Import a fresh extension session before this account can resume.',
occurredAt: account.updatedAt,
owner: { accountId: account.accountId, redditUsername: account.redditUsername },
});
}
const snapshots = ctx.services.accountRuntimes?.list() ?? [];
for (const snapshot of snapshots) {
const owner = { accountId: snapshot.accountId, redditUsername: snapshot.redditUsername };
if (snapshot.state === 'failed') {
items.push({
id: `runtime:${snapshot.accountId}`,
kind: 'runtime-failed',
severity: 'critical',
title: `u/${snapshot.redditUsername} runtime failed`,
detail: snapshot.failure ?? 'The account runtime stopped unexpectedly.',
occurredAt: snapshot.updatedAt,
owner,
});
}
const runtime = ctx.services.accountRuntimes?.get(snapshot.accountId);
if (!runtime) continue;
const conversations = await runtime.resources.chatService.getCachedConversations();
const usernames = new Map(conversations.flatMap((conversation) => conversation.roomId
? [[conversation.roomId, conversation.username] as const]
: []));
for (const state of runtime.resources.conversationStateRepo.listAttention()) {
const username = usernames.get(state.conversationId);
items.push({
id: `conversation:${snapshot.accountId}:${state.conversationId}:${state.status}`,
kind: state.status,
severity: state.status === 'boundary' ? 'critical' : 'warning',
title: state.status === 'boundary'
? `Boundary detected${username ? ` from u/${username}` : ''}`
: `Human follow-up required${username ? ` for u/${username}` : ''}`,
detail: state.reason ?? (state.status === 'boundary'
? 'Automation stopped after the recipient set a boundary.'
: 'Automated conversation turns are exhausted.'),
occurredAt: state.updatedAt,
owner,
conversationId: `${snapshot.accountId}~${state.conversationId}`,
...(username ? { username } : {}),
});
}
for (const delivery of runtime.resources.deliveryOutboxRepo.getFailed()) {
items.push({
id: `delivery:${snapshot.accountId}:${delivery.id}`,
kind: 'failed-delivery',
severity: 'warning',
title: `Message to u/${delivery.recipient} failed`,
detail: delivery.lastError ?? `Delivery failed after ${delivery.attemptCount} attempt(s).`,
occurredAt: delivery.updatedAt,
owner,
username: delivery.recipient,
});
}
const cooldown = runtime.resources.chatService.getInvitationCooldown();
if (cooldown) {
items.push({
id: `cooldown:${snapshot.accountId}:${cooldown.until}`,
kind: 'invitation-cooldown',
severity: 'warning',
title: `u/${snapshot.redditUsername} invitation cooldown`,
detail: cooldown.reason,
occurredAt: Date.now(),
owner,
});
}
}
res.json({ generatedAt: Date.now(), items: items.sort((left, right) => right.occurredAt - left.occurredAt) });
});
return router;
}
+5
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@@ -41,6 +41,8 @@ import { createLoginRouter } from './routes/login.js';
import { createDashboardAuth, createDashboardSessionRouter } from './auth.js';
import { resolveDashboardAssets } from './dashboard-assets.js';
import { createAgentRouter, createHealthRouter } from './routes/agent.js';
import { createAttentionRouter } from './routes/attention.js';
import type { AiUsageRepository } from '../database/ai-usage-repository.js';
export type { BotStats, ActivityItem, LogEntry, RuntimeConfig } from './types.js';
@@ -74,6 +76,7 @@ export class WebServer {
private logger: Logger,
broadcaster?: LogBroadcaster,
private workspaceDirectory = process.cwd(),
private aiUsageRepo?: AiUsageRepository,
) {
this.broadcaster = broadcaster ?? new LogBroadcaster();
this.activity = new ActivityLog(activityLogRepo);
@@ -104,6 +107,7 @@ export class WebServer {
posts: this.postsRepo,
messages: this.messagesRepo,
successful: this.successfulMessagesRepo,
aiUsage: this.aiUsageRepo,
},
services: this.services,
getBotRunning: () => this.botRunning,
@@ -147,6 +151,7 @@ export class WebServer {
const ctx = this.context();
this.app.use('/api', createAgentRouter(ctx));
this.app.use('/api', createStatsRouter(ctx));
this.app.use('/api', createAttentionRouter(ctx));
this.app.use('/api', createChatsRouter(ctx));
this.app.use('/api', createConversationsRouter(ctx));
this.app.use('/api', createMediaRouter(ctx));