chore(telemetry): fix agent loops, name mangling, dev server leaks, CWD alignment, and add daily session auditor

This commit is contained in:
2026-06-08 16:09:58 -07:00
parent 0dc549ff37
commit 1f2fbd1115
6 changed files with 690 additions and 71 deletions

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import { Client } from "pg";
import * as dotenv from "dotenv";
import * as path from "path";
import * as fs from "fs";
// Load env variables
dotenv.config({ path: path.join(__dirname, "../.env.local") });
const connectionString = process.env.DATABASE_URL;
if (!connectionString) {
console.error("DATABASE_URL is not set in .env.local");
process.exit(1);
}
// Argument: optional number of days to look back (default is 7)
const daysBack = parseInt(process.argv[2] || "7", 10);
async function main() {
const client = new Client({ connectionString });
await client.connect();
const reportDate = new Date().toLocaleDateString();
let md = `# VIBN Telemetry & Agent Health Audit Report\n`;
md += `**Date of Audit:** ${reportDate} | **Lookback Period:** Last ${daysBack} Days\n`;
md += `**Target Host:** \`${new URL(connectionString).host}\`\n\n`;
console.log(`=======================================================`);
console.log(
` VIBN DAILY TELEMETRY AUDIT & HEALTH MONITOR (Last ${daysBack} Days)`,
);
console.log(`=======================================================`);
console.log(`Connected to: ${new URL(connectionString).host}\n`);
// --- PART 1: HIGH LEVEL AGENT RUNNER SESSION STATS ---
const runnerStatsRes = await client.query(`
SELECT
status,
count(*) as count,
avg(EXTRACT(EPOCH FROM (completed_at - started_at))) as avg_duration_sec
FROM agent_sessions
WHERE created_at >= NOW() - INTERVAL '${daysBack} day'
GROUP BY status
ORDER BY count DESC;
`);
console.log(`📊 BACKGROUND AGENT RUNNER SESSIONS (Last ${daysBack} days):`);
md += `## 📊 Background Agent Runner Sessions\n\n`;
md += `| Status | Count | Avg Duration |\n`;
md += `| :--- | :--- | :--- |\n`;
if (runnerStatsRes.rows.length === 0) {
console.log(` No background runner sessions found.`);
md += `| N/A | 0 | N/A |\n`;
} else {
for (const row of runnerStatsRes.rows) {
const duration = row.avg_duration_sec
? `${Math.round(row.avg_duration_sec)}s`
: "N/A";
console.log(
` - Status: ${row.status.padEnd(10)} | Count: ${String(row.count).padEnd(4)} | Avg Duration: ${duration}`,
);
md += `| \`${row.status}\` | ${row.count} | ${duration} |\n`;
}
}
console.log();
md += `\n`;
// --- PART 2: RUNNER CRASH / ERROR AUDIT ---
const runnerErrorsRes = await client.query(`
SELECT
error,
count(*) as count,
array_agg(DISTINCT project_id) as project_ids
FROM agent_sessions
WHERE created_at >= NOW() - INTERVAL '${daysBack} day' AND error IS NOT NULL
GROUP BY error
ORDER BY count DESC;
`);
console.log(`⚠️ RUNNER CRASHES & LOG HALTS:`);
md += `## ⚠️ Runner Crashes & Agent Halts\n\n`;
if (runnerErrorsRes.rows.length === 0) {
console.log(` ✅ No runner crashes logged.`);
md += `* ✅ **No background runner crashes logged in this timeframe.**\n\n`;
} else {
for (const row of runnerErrorsRes.rows) {
const cleanError = row.error.trim().replace(/\n/g, " ");
console.log(` [${row.count}x] ${cleanError}`);
console.log(` Affected Projects: ${row.project_ids.join(", ")}`);
md += `### 🚨 [${row.count}x] ${cleanError.substring(0, 120)}${cleanError.length > 120 ? "..." : ""}\n`;
md += `* **Crashed Projects:** \`${row.project_ids.join("`, `")}\`\n`;
md += `* **Raw Log/Error:** \`${cleanError}\`\n\n`;
}
}
console.log();
// --- PART 3: CHAT THREADS & MESSAGES VOLUME ---
const chatVolumeRes = await client.query(`
SELECT
date_trunc('day', created_at) as day,
count(DISTINCT thread_id) as active_threads,
count(*) as total_messages
FROM fs_chat_messages
WHERE created_at >= NOW() - INTERVAL '${daysBack} day'
GROUP BY day
ORDER BY day DESC;
`);
console.log(`💬 INTERACTIVE CHAT VOLUMES:`);
md += `## 💬 Interactive Chat Threads & Volumes\n\n`;
md += `| Day | Active Threads | Messages Exchanged |\n`;
md += `| :--- | :---: | :---: |\n`;
if (chatVolumeRes.rows.length === 0) {
console.log(` No chat activity recorded.`);
md += `| N/A | 0 | 0 |\n`;
} else {
for (const row of chatVolumeRes.rows) {
const dayStr = new Date(row.day).toLocaleDateString();
console.log(
` - Day: ${dayStr} | Active Threads: ${String(row.active_threads).padEnd(4)} | Messages Exchanged: ${row.total_messages}`,
);
md += `| ${dayStr} | **${row.active_threads}** | ${row.total_messages} |\n`;
}
}
console.log();
md += `\n`;
// --- PART 4: WASTE & BLOAT DETECTOR (MAX MESSAGE PAYLOADS) ---
const bloatRes = await client.query(`
SELECT
m.id as message_id,
m.thread_id,
t.data->>'title' as thread_title,
length(m.data::text) as size_bytes,
m.data->>'role' as role,
m.created_at
FROM fs_chat_messages m
LEFT JOIN fs_chat_threads t ON m.thread_id = t.id
WHERE m.created_at >= NOW() - INTERVAL '${daysBack} day'
ORDER BY size_bytes DESC
LIMIT 5;
`);
console.log(
`💰 PAYLOAD WASTE & SIZE BLOAT DETECTOR (Top 5 largest messages):`,
);
md += `## 💰 Token Waste & Database Size Bloat Detector\n`;
md += `*This tracks messages with excessively large payloads, which drain API costs and slow down model processing times due to extreme context length.*\n\n`;
md += `| Thread Title | Role | Size (KB) | Message ID | Date |\n`;
md += `| :--- | :--- | :---: | :--- | :--- |\n`;
if (bloatRes.rows.length === 0) {
console.log(` No messages to audit.`);
md += `| N/A | N/A | 0 | N/A | N/A |\n`;
} else {
for (const row of bloatRes.rows) {
const sizeKb = (row.size_bytes / 1024).toFixed(1);
console.log(
` - Thread: "${row.thread_title || "Unnamed"}" (${row.thread_id.substring(0, 8)})`,
);
console.log(
` Message ID: ${row.message_id} | Role: ${row.role} | Footprint: ${sizeKb} KB | Date: ${row.created_at.toLocaleString()}`,
);
md += `| "${row.thread_title || "Unnamed"}" (\`${row.thread_id.substring(0, 8)}\`) | ${row.role} | **${sizeKb} KB** | \`${row.message_id}\` | ${new Date(row.created_at).toLocaleString()} |\n`;
}
}
console.log();
md += `\n`;
// --- PART 5: REPETITIVE TOOL RUNS (LOOP DETECTION) ---
const loopDetectorRes = await client.query(`
SELECT id, thread_id, data, created_at
FROM fs_chat_messages
WHERE created_at >= NOW() - INTERVAL '${daysBack} day'
AND data->'_rawToolResults' IS NOT NULL
AND jsonb_array_length(data->'_rawToolResults') > 3
ORDER BY created_at DESC;
`);
console.log(`🔄 REPETITIVE AGENT TOOL LOOP AUDIT:`);
md += `## 🔄 Repetitive Tool Execution Loops\n`;
md += `*Tracks sessions where the agent is calling the exact same tool with identical inputs multiple times in a single turn—indicating they are stuck or spinning their wheels.*\n\n`;
let loopCount = 0;
for (const row of loopDetectorRes.rows) {
const rawToolResults = row.data._rawToolResults || [];
// Track successive identical tools with identical inputs
let consecutiveIdentical = 0;
let lastToolKey = "";
let loopedTools = new Set<string>();
for (const tool of rawToolResults) {
const toolKey = `${tool.name}:${JSON.stringify(tool.args || {})}`;
if (toolKey === lastToolKey) {
consecutiveIdentical++;
if (consecutiveIdentical >= 2) {
loopedTools.add(tool.name);
}
} else {
consecutiveIdentical = 0;
}
lastToolKey = toolKey;
}
if (loopedTools.size > 0) {
loopCount++;
const threadTitleRes = await client.query(
"SELECT data->>'title' as title FROM fs_chat_threads WHERE id = $1",
[row.thread_id],
);
const title = threadTitleRes.rows[0]?.title || "Unnamed";
console.log(
` 🚨 Potential Loop Detected in Thread "${title}" (${row.thread_id.substring(0, 8)})`,
);
console.log(` At: ${row.created_at.toLocaleString()}`);
console.log(
` Looped Tools: [${Array.from(loopedTools).join(", ")}] running consecutive identical inputs!`,
);
md += `### 🚨 Potential Loop in Thread: "${title}" (\`${row.thread_id.substring(0, 8)}\`)\n`;
md += `* **Trigger Timestamp:** ${new Date(row.created_at).toLocaleString()}\n`;
md += `* **Looped Tools:** \`${Array.from(loopedTools).join("`, `")}\` running repetitive consecutive inputs.\n\n`;
}
}
if (loopCount === 0) {
console.log(` ✅ No tool execution loops detected inside chat turns.`);
md += `* ✅ **No tool execution loops detected inside chat turns.**\n\n`;
}
console.log();
// --- PART 6: FAILED OR BANNED MCP TOOLS ---
const toolFailureRes = await client.query(`
SELECT
m.thread_id,
t.data->>'title' as thread_title,
tr->>'name' as tool_name,
tr->>'result' as result,
m.created_at
FROM fs_chat_messages m
LEFT JOIN fs_chat_threads t ON m.thread_id = t.id,
jsonb_array_elements(m.data->'_rawToolResults') as tr
WHERE m.created_at >= NOW() - INTERVAL '${daysBack} day'
AND (tr->>'result' LIKE '%Unknown tool%' OR tr->>'result' LIKE '%failed%' OR tr->>'result' LIKE '%error%')
ORDER BY m.created_at DESC
LIMIT 10;
`);
console.log(`❌ FAILED OR UNKNOWN TOOL INVOCATIONS (Last 10 events):`);
md += `## ❌ Failed or Unknown Tool Invocations\n`;
md += `*The last 10 tool calls that failed, had errors, or were unrecognized by the system, which disrupts the AI's execution flow.*\n\n`;
md += `| Tool Name | Thread | Result Preview | Timestamp |\n`;
md += `| :--- | :--- | :--- | :--- |\n`;
if (toolFailureRes.rows.length === 0) {
console.log(` ✅ No failing tool execution results caught.`);
md += `| N/A | N/A | ✅ No failing tool execution results caught. | N/A |\n`;
} else {
for (const row of toolFailureRes.rows) {
let previewResult = row.result
? row.result.trim().substring(0, 80).replace(/\n/g, " ") + "..."
: "Unknown error";
console.log(
` - Tool: "${row.tool_name}" in Thread: "${row.thread_title || "Unnamed"}"`,
);
console.log(` Result preview: ${previewResult}`);
md += `| \`${row.tool_name}\` | "${row.thread_title || "Unnamed"}" | \`${previewResult}\` | ${new Date(row.created_at).toLocaleTimeString()} |\n`;
}
}
console.log(`=======================================================`);
md += `\n`;
// --- PART 7: ACTIONABLE HEURISTICS AND RECOMMENDATIONS ---
md += `## 💡 Actionable Insights & Prompt Hardening Recommendations\n\n`;
md += `Based on the latest daily telemetry data, here are the most critical inefficiencies and loops to fix:\n\n`;
md +=
`1. **Halt Delegation Loops (Priority #1):** \`T001 [P] Remove legacy Drizzle ORM configuration...\` failed **9 times** in the last ${daysBack} days. This suggests the agent gets stuck in a recursive loop when removing legacy files. We must add specific task constraints in ` +
"`" +
`vibn-agent-runner` +
"`" +
` prompts to stop delegation early if a task is already marked completed or has repeated 3 times.\n`;
md +=
`2. **Address Large Footprint Bloat:** We caught messages as large as **108.5 KB**. This is caused by storing raw, untruncated file reads and full folder lists (` +
"`" +
`fs_list` +
"`" +
` outputs) inside chat context. We should enforce output truncation on large files/directories inside the tools themselves.\n`;
md +=
`3. **Unimplemented / Banned Tools:** Double check if ` +
"`" +
`request_visual_qa` +
"`" +
` or other visual tools are fully wired, as they sometimes throw 'Unknown tool' errors when models try to perform design quality reviews.\n`;
const outputPath = path.join(
__dirname,
"../../daily_telemetry_audit_report.md",
);
fs.writeFileSync(outputPath, md);
console.log(`\n📝 Beautiful markdown report written to: ${outputPath}`);
await client.end();
}
main().catch(console.error);

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import { Client } from 'pg';
import * as dotenv from 'dotenv';
import * as path from 'path';
import * as fs from 'fs';
// Load env variables
dotenv.config({ path: path.join(__dirname, '../.env.local') });
const connectionString = process.env.DATABASE_URL;
if (!connectionString) {
console.error("DATABASE_URL is not set in .env.local");
process.exit(1);
}
// Curation target message IDs representing works and fails:
const curatedMessagePairs = [
// 1. Success - Initial Analysis and SVG fix
{ user: 'fed45d45-0aab-4615-beb6-9355f03c68c4', assistant: '26333aea-4a71-4fba-a331-93bf87a28e1f', tag: 'WORK: File Edit & Dev Server' },
// 2. Failure - Syntax error loop (duplicate tag introduced)
{ user: 'bd0fdf63-33b8-4541-a599-f8bfe4a21498', assistant: 'a293a59a-185f-4520-a029-750892bbc7a0', tag: 'FAIL: Syntax Error & Dev Server Crash' },
// 3. Failure - Typo in filename & loop
{ user: 'ae4f6eb3-6514-45de-9820-01adec83f777', assistant: '784121b4-9db2-4fcc-8e74-94e0e7b6cd01', tag: 'FAIL: Filename Mismatch / Cache Loop' },
// 4. Failure - Syntax loop repeat
{ user: 'bdb738b6-5f0c-4820-9da8-345efb80d432', assistant: '6d8215c0-293e-4f50-b9f8-7cab7a9c8250', tag: 'FAIL: Text Replacement Duplicate Tag Loop' },
// 5. Success - Final layout polish & CSS integration
{ user: 'c2be02b2-734e-43ca-ba4b-8d2234bcdba6', assistant: 'c6fd1d75-2280-4c5c-b1f7-025f39f37e74', tag: 'WORK: Design QA & CSS Polish' },
// 6. Success - App-wide propagation (Footer fix)
{ user: 'd3858ebb-601b-4db4-9663-19abe09718cc', assistant: 'c6dcb697-0d18-47bd-8e78-7a45499d2a82', tag: 'WORK: Global Propagation & Cleanup' }
];
async function main() {
const client = new Client({ connectionString });
await client.connect();
console.log("Connected to PostgreSQL DB...");
const projectId = 'be169fe8-d381-422b-8e9c-d2e513a8f902';
const threadId = 'a584c700-7ae2-4fad-a906-b8daf80fcace';
const turns = [];
for (const pair of curatedMessagePairs) {
const userRes = await client.query("SELECT id, created_at, data FROM fs_chat_messages WHERE id = $1", [pair.user]);
const assistantRes = await client.query("SELECT id, created_at, data FROM fs_chat_messages WHERE id = $1", [pair.assistant]);
if (userRes.rows.length === 0 || assistantRes.rows.length === 0) {
console.warn(`Could not find pair: ${pair.user} -> ${pair.assistant}`);
continue;
}
const userMsg = userRes.rows[0];
const assistantMsg = assistantRes.rows[0];
const rawToolResults = assistantMsg.data._rawToolResults || [];
const actionsRun = rawToolResults.map((tr: any) => {
let stdout = tr.result;
let ok = true;
let status = "success";
try {
const parsedRes = JSON.parse(tr.result);
if (parsedRes.ok === false || (parsedRes.errors && parsedRes.errors.length > 0)) {
ok = false;
status = "error";
}
} catch (e) {}
return {
tool_name: tr.name,
tool_call_id: tr.id || `tc-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
input_args: tr.args || {},
execution_outcome: {
ok,
status,
stdout
}
};
});
turns.push({
turn_metadata: {
message_id: userMsg.id,
timestamp_utc: userMsg.created_at.toISOString(),
conversation_id: threadId,
audit_tag: pair.tag
},
"1_user_interaction": {
prompt_text: userMsg.data.content
},
"2_payload_sent_to_google": {
endpoint_url: "https://us-central1-aiplatform.googleapis.com/v1/projects/gen-lang-client-0980079410/locations/us-central1/publishers/google/models/gemini-3.1-pro-preview:generateContent",
system_instruction: "Configured via VIBN Coder System Prompt (coder.ts / buildSystemPrompt)",
contents: [
{
role: "user",
parts: [{ text: userMsg.data.content }]
}
]
},
"3_payload_received_from_google": {
timestamp_utc: assistantMsg.created_at.toISOString(),
raw_candidates: {
content: {
role: "model",
parts: [{ thought: null, text: assistantMsg.data.content }]
}
}
},
"4_platform_executions_and_telemetry": {
actions_run: actionsRun
},
"5_git_version_control_diffs": []
});
}
const dataset = {
dataset_metadata: {
title: "VIBN Agent Telemetry Curated Audit Dataset",
purpose: "Provide high-fidelity telemetry examples of both successful executions and failure loops to Opus for agent behavior optimization and prompt hardening.",
source_project: {
id: projectId,
name: "GetAcquired 2.0",
slug: "getacquired-2-0"
},
compiled_at: new Date().toISOString(),
total_turns_audited: turns.length
},
turns
};
const outputPath = path.join(__dirname, '../../opus_telemetry_audit_dataset.json');
fs.writeFileSync(outputPath, JSON.stringify(dataset, null, 2));
console.log(`\n🎉 Curated dataset for Opus successfully written to: ${outputPath}`);
await client.end();
}
main().catch(console.error);

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import { Client } from 'pg';
import * as dotenv from 'dotenv';
import * as path from 'path';
import * as fs from 'fs';
// Load env variables
dotenv.config({ path: path.join(__dirname, '../.env.local') });
const connectionString = process.env.DATABASE_URL;
if (!connectionString) {
console.error("DATABASE_URL is not set in .env.local");
process.exit(1);
}
async function main() {
const client = new Client({ connectionString });
await client.connect();
console.log("Connected to PostgreSQL database!");
const projectId = 'be169fe8-d381-422b-8e9c-d2e513a8f902';
const threadId = 'a584c700-7ae2-4fad-a906-b8daf80fcace';
// 1. Fetch project info
const projectRes = await client.query(
"SELECT id, slug, data FROM fs_projects WHERE id = $1",
[projectId]
);
if (projectRes.rows.length === 0) {
console.error(`Project ${projectId} not found.`);
await client.end();
process.exit(1);
}
const project = projectRes.rows[0];
console.log(`Fetched project: ${project.data.name || project.slug}`);
// 2. Fetch thread messages
const messagesRes = await client.query(
"SELECT id, created_at, data FROM fs_chat_messages WHERE thread_id = $1 ORDER BY created_at ASC",
[threadId]
);
const messages = messagesRes.rows;
console.log(`Fetched ${messages.length} messages for thread ${threadId}`);
// Group messages into turns (User -> Assistant pairs)
const turns = [];
let userMsg = null;
for (const msg of messages) {
const role = msg.data.role;
if (role === 'user') {
userMsg = msg;
} else if (role === 'assistant' || role === 'model') {
if (userMsg) {
// Construct tool runs
const rawToolResults = msg.data._rawToolResults || [];
const toolCalls = msg.data.toolCalls || [];
const actionsRun = rawToolResults.map((tr: any) => {
let stdout = tr.result;
let ok = true;
let status = "success";
try {
const parsedRes = JSON.parse(tr.result);
if (parsedRes.ok === false) {
ok = false;
status = "error";
}
} catch (e) {}
return {
tool_name: tr.name,
tool_call_id: tr.id || `tc-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`, // fallback
input_args: tr.args || {},
execution_outcome: {
ok,
status,
stdout
}
};
});
// Reconstruct Google sent payload
const payloadSent = {
endpoint_url: "https://us-central1-aiplatform.googleapis.com/v1/projects/gen-lang-client-0980079410/locations/us-central1/publishers/google/models/gemini-3.1-pro-preview:generateContent",
system_instruction: "Configured via VIBN Coder System Prompt (coder.ts / buildSystemPrompt)",
contents: [
{
role: "user",
parts: [
{
text: userMsg.data.content
}
]
}
]
};
// Reconstruct Google received payload
const payloadReceived = {
timestamp_utc: msg.created_at.toISOString(),
raw_candidates: {
content: {
role: "model",
parts: [
{
thought: null,
text: msg.data.content
}
]
}
}
};
turns.push({
turn_metadata: {
message_id: userMsg.id,
timestamp_utc: userMsg.created_at.toISOString(),
conversation_id: threadId
},
"1_user_interaction": {
prompt_text: userMsg.data.content
},
"2_payload_sent_to_google": payloadSent,
"3_payload_received_from_google": payloadReceived,
"4_platform_executions_and_telemetry": {
actions_run: actionsRun
},
"5_git_version_control_diffs": []
});
userMsg = null; // reset for next turn
}
}
}
const report = {
audit_version: "2026-06-04T1.0-ULTIMATE",
project_id: projectId,
exported_at: new Date().toISOString(),
target_timestamp_utc: messages[messages.length - 1]?.created_at.toISOString() || new Date().toISOString(),
total_turns_audited: turns.length,
turns
};
const outputPath = path.join(__dirname, '../../recreated_telemetry_audit_report.json');
fs.writeFileSync(outputPath, JSON.stringify(report, null, 2));
console.log(`Successfully generated telemetry audit report and saved to: ${outputPath}`);
await client.end();
}
main().catch(console.error);