High-fidelity process tracking, deterministic replay, and AI-powered debugging for Laravel — production & enterprise ready.
TraceReplay is not a standard error logger. It is a full-fledged execution tracer that captures every step of your complex workflows, reconstructs them with a waterfall timeline, and offers one-click AI debugging when things go wrong.
| Feature | TraceReplay | Telescope | Debugbar | Clockwork |
|---|---|---|---|---|
| Manual step instrumentation | ✅ | ❌ | ❌ | ❌ |
| Waterfall timeline UI | ✅ | ❌ | ✅ | ✅ |
| Deterministic HTTP replay | ✅ | ❌ | ❌ | ❌ |
| Visual JSON diff on replay | ✅ | ❌ | ❌ | ❌ |
| AI fix-prompt generator | ✅ | ❌ | ❌ | ❌ |
| OpenAI / Anthropic / Ollama | ✅ | ❌ | ❌ | ❌ |
| Cache & HTTP tracking | ✅ | ✅ | ✅ | ✅ |
| Mail & Notification tracking | ✅ | ❌ | ❌ | ❌ |
| DB query tracking per step | ✅ | ✅ | ✅ | ✅ |
| Memory tracking per step | ✅ | ❌ | ✅ | ✅ |
| Peak memory tracking | ✅ | ✅ | ❌ | ❌ |
| Livewire Hydrate Tracing | ✅ | ❌ | ❌ | ❌ |
| PII / sensitive-field masking | ✅ | ❌ | ❌ | ❌ |
| Queue-job auto-tracing | ✅ | ✅ | ❌ | ❌ |
| Artisan-command auto-tracing | ✅ | ✅ | ❌ | ❌ |
| Probabilistic Sampling | ✅ | ❌ | ❌ | ❌ |
| Dashboard auth & Gate gate | ✅ | ✅ | ❌ | N/A |
| Multi-tenant scoping | ✅ | ❌ | ❌ | ❌ |
| W3C Traceparent support | ✅ | ❌ | ❌ | ❌ |
| Octane Compatible | ✅ | ✅ | ❌ | ❌ |
composer require iazaran/trace-replayPublish the config:
php artisan vendor:publish --tag=trace-replay-configRun migrations:
php artisan migrateNote: Migrations run automatically without publishing. They use
jsoncolumns anddecimalprecision for timings, compatible with MySQL 5.7+, MariaDB, PostgreSQL, and SQLite.
To customize the dashboard UI:
php artisan vendor:publish --tag=trace-replay-viewsThis copies the Blade templates to resources/views/vendor/trace-replay/ where you can customize the layout, colors, or add your own branding.
To automatically trace all HTTP requests, add the TraceMiddleware to your application. This provides instant visibility into every request without manual instrumentation.
For Laravel 10 (app/Http/Kernel.php):
protected $middlewareGroups = [
'web' => [
// ...
\TraceReplay\Http\Middleware\TraceMiddleware::class,
],
];For Laravel 11+ (bootstrap/app.php):
->withMiddleware(function (Middleware $middleware) {
$middleware->append(\TraceReplay\Http\Middleware\TraceMiddleware::class);
})Open config/trace-replay.php. Key options include:
return [
'enabled' => env('TRACE_REPLAY_ENABLED', true),
// 0.1 = trace 10% of requests/jobs/commands
'sample_rate' => env('TRACE_REPLAY_SAMPLE_RATE', 1.0),
// Automatically mask these keys in payloads
'mask_fields' => ['password', 'token', 'api_key', 'authorization', 'secret'],
// Dashbord security: only users passing the "view-trace-replay" gate can access
'middleware' => ['web', 'auth'],
// AI Troubleshooting (Drivers: openai, anthropic, ollama)
'ai' => [
'driver' => env('TRACE_REPLAY_AI_DRIVER', 'openai'),
'api_key' => env('TRACE_REPLAY_AI_KEY'),
'model' => env('TRACE_REPLAY_AI_MODEL', 'gpt-4o'),
],
// Async batch persistence via queue (Reduces overhead)
'queue' => [
'enabled' => env('TRACE_REPLAY_QUEUE_ENABLED', false),
],
// Auto-tracing
'auto_trace' => [
'jobs' => true,
'commands' => false,
'livewire' => true,
],
];Wrap any complex logic in TraceReplay::step() — each callback's return value is passed through transparently.
use TraceReplay\Facades\TraceReplay;
class BookingService
{
public function handleBooking(array $payload): void
{
TraceReplay::start('Flight Booking', ['channel' => 'web']);
try {
$inventory = TraceReplay::step('Validate Inventory', function () use ($payload) {
return Inventory::check($payload['flight_id']);
});
TraceReplay::checkpoint('Inventory validated', ['seats_left' => $inventory->seats]);
TraceReplay::context(['user_tier' => auth()->user()->tier]);
TraceReplay::step('Charge Credit Card', function () use ($payload) {
return PaymentGateway::charge($payload['amount']);
});
TraceReplay::end('success');
} catch (\Exception $e) {
TraceReplay::end('error');
throw $e;
}
}
}API Reference:
| Method | Description |
|---|---|
TraceReplay::start(name, tags[]) |
Start a new trace; returns Trace or null if disabled/sampled-out |
TraceReplay::step(label, callable, extra[]) |
Wrap callable, record timing, memory, DB queries, errors |
TraceReplay::measure(label, callable) |
Alias for step() — semantic clarity for benchmarks |
TraceReplay::checkpoint(label, state[]) |
Record a zero-overhead breadcrumb (no callable) |
TraceReplay::context(array) |
Merge data into the next step's state_snapshot |
TraceReplay::end(status) |
Finalise trace; status: success or error |
TraceReplay::getCurrentTrace() |
Returns the active Trace model (or null) |
TraceReplay::setWorkspaceId(id) |
Scope subsequent traces to a workspace |
TraceReplay::setProjectId(id) |
Scope subsequent traces to a project |
Use TraceReplay::fake() to verify your instrumentation in tests without hitting the database:
use TraceReplay\Facades\TraceReplay;
public function test_booking_records_steps()
{
$fake = TraceReplay::fake();
$this->post('/book', ['flight_id' => 123]);
$fake->assertTraceStarted('Flight Booking');
$fake->assertStepRecorded('Validate Inventory');
$fake->assertStepRecorded('Charge Credit Card');
$fake->assertCheckpointRecorded('Inventory validated');
$fake->assertTraceEnded('success');
$fake->assertTraceCount(1);
}Available assertions:
| Assertion | Description |
|---|---|
assertTraceStarted(name) |
Assert a trace with the given name was started |
assertNoTraceStarted() |
Assert no trace was started at all |
assertTraceCount(n) |
Assert exactly n traces were started |
assertStepRecorded(label) |
Assert a step with the given label was recorded |
assertCheckpointRecorded(label) |
Assert a checkpoint with the given label was recorded |
assertStepCount(n, traceName?) |
Assert exactly n steps in total (or in a named trace) |
assertTraceEnded(status) |
Assert a trace with the given final status exists |
Queue jobs are automatically traced when auto_trace.jobs is enabled (default: true). No manual listener registration is needed — the service provider wires everything up.
To disable, set TRACE_REPLAY_AUTO_TRACE_JOBS=false in your .env.
Artisan commands can be auto-traced by enabling auto_trace.commands:
TRACE_REPLAY_AUTO_TRACE_COMMANDS=trueInternal commands like queue:work, horizon, and trace-replay:prune are excluded by default (see auto_trace.exclude_commands in the config).
Drop the <x-trace-replay-trace-bar /> Blade component into your layout for instant in-page trace inspection:
{{-- resources/views/layouts/app.blade.php --}}
@if(config('app.debug'))
<x-trace-replay-trace-bar />
@endifAccess the built-in dashboard at https://your-app.com/trace-replay.
Features:
- Waterfall timeline — visual bars show each step's exact duration relative to the total trace
- Live stats — auto-refreshing counters (total traces, failed, avg duration)
- Search & filter — filter by name, IP, user ID; toggle failed-only view
- Date range filter — quickly filter traces by today, yesterday, last 7 days, or last 30 days
- Step inspector — syntax-highlighted JSON for request payload, response payload, and state snapshot
- Replay engine — re-execute any HTTP step and view a structural JSON diff
- AI Fix Prompt — one-click prompt ready for Cursor, ChatGPT, or Claude
Add authentication or authorization middleware in config/trace-replay.php:
'middleware' => ['web', 'auth', 'can:view-trace-replay'],Then define the gate:
// app/Providers/AuthServiceProvider.php
Gate::define('view-trace-replay', function ($user) {
return in_array($user->email, config('trace-replay.admin_emails', []));
});Or use IP allowlisting (exact match, comma-separated via env):
TRACE_REPLAY_ALLOWED_IPS=203.0.113.5,10.0.0.1For any failed trace the dashboard shows an AI Fix Prompt button that generates a structured markdown prompt including:
- Full execution timeline with timing and DB stats
- The exact error message, file, line, and first 20 stack frames
- Request/response payloads (sensitive fields masked)
- Step-by-step state snapshots
The AI prompt feature works without any API key. Copy the generated prompt and paste it into ChatGPT, Claude, or any other AI assistant.
For a seamless experience, configure an AI driver to get answers directly in the dashboard:
# OpenAI (default)
TRACE_REPLAY_AI_DRIVER=openai
TRACE_REPLAY_AI_KEY=sk-your-openai-key
TRACE_REPLAY_AI_MODEL=gpt-4o
# Or Anthropic Claude
TRACE_REPLAY_AI_DRIVER=anthropic
TRACE_REPLAY_AI_KEY=sk-ant-your-key
TRACE_REPLAY_AI_MODEL=claude-3-5-sonnet-latest
# Or Ollama (local, no API key needed)
TRACE_REPLAY_AI_DRIVER=ollama
TRACE_REPLAY_AI_MODEL=llama3
TRACE_REPLAY_AI_BASE_URL=http://localhost:11434/api/generateWith a key configured, clicking "Ask AI" sends the prompt to your chosen AI provider and displays the response in the dashboard.
TraceReplay exposes a JSON-RPC 2.0 endpoint at POST /api/trace-replay/mcp for autonomous AI agents.
Available methods:
| Method | Params | Returns |
|---|---|---|
list_traces |
limit, status |
Array of trace summaries |
get_trace_context |
trace_id |
Full trace with steps |
generate_fix_prompt |
trace_id |
Markdown debugging prompt |
trigger_replay |
trace_id |
Replay result + JSON diff |
Example request:
{
"jsonrpc": "2.0",
"method": "generate_fix_prompt",
"params": { "trace_id": "9b12f7e4-..." },
"id": 1
}Automatically prune old traces with the built-in Artisan command. Add to your scheduler:
// app/Console/Kernel.php
$schedule->command('trace-replay:prune --days=30')->daily();Options:
php artisan trace-replay:prune --days=30 # Delete traces older than 30 days
php artisan trace-replay:prune --days=30 --dry-run # Preview what would be deleted
php artisan trace-replay:prune --days=7 --status=error # Only prune error tracesExport a trace to JSON or CSV for archiving or external analysis:
php artisan trace-replay:export {id} --format=json
php artisan trace-replay:export {id} --format=csv
php artisan trace-replay:export {id} --format=json --output=/tmp/trace.json
php artisan trace-replay:export --status=error --format=json # Export all error tracescomposer install
./vendor/bin/pest104 tests, 208 assertions. The test suite covers:
- Trace lifecycle (start, step, checkpoint, context, end, duration precision)
- Error capturing, step ordering, DB query tracking
- Model scopes (
failed,successful,search) - Model accessors (
error_step,total_db_queries,total_memory_usage,completion_percentage) PayloadMasker— recursive PII field redaction, case-insensitivityAiPromptService— prompt generation, OpenAI integration (mocked), null-safetyNotificationService— mail and Slack dispatch, null-safetyReplayService— HTTP replay and JSON diff- Dashboard — index, filters, search, show, stats, export, replay, AI prompt
- MCP API — REST endpoints and JSON-RPC (all methods + error handling)
- Middleware — TraceMiddleware (route skipping, disabled config), AuthMiddleware (IP allow/block)
- Artisan
trace-replay:prune(delete, dry-run, status filter, validation) - Artisan
trace-replay:export(JSON, CSV, file output, status filter, validation) TraceReplayFake— assertions for started/count/steps/checkpoints/ended- Log call tracking per step
NotificationService— error_reason array/string serialisation safety- Blade components — TraceBar rendering with enabled/disabled states
The MIT License (MIT). See LICENSE for details.


