iazaran/trace-replay

Enterprise-ready process tracking, replay, and AI-assisted debugging for Laravel applications.

Maintainers

Package info

github.com/iazaran/trace-replay

Homepage

pkg:composer/iazaran/trace-replay

Statistics

Installs: 831

Dependents: 0

Suggesters: 0

Stars: 101

Open Issues: 0

1.3.0 2026-05-21 15:48 UTC

This package is auto-updated.

Last update: 2026-05-21 15:49:48 UTC


README

Production-conscious step-level tracing, deterministic HTTP replay, and AI-ready debugging for Laravel.

Latest Version PHP Laravel License: MIT Tests Code Analysis

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.

TraceReplay

Why TraceReplay?

  • See business workflows as steps, not just requests, queries, and exceptions scattered across separate tools.
  • Replay captured HTTP requests safely with mutating methods blocked by default and JSON diffs for response changes.
  • Debug failures with AI-ready context while masking sensitive fields before payloads are stored.

✨ Key Features

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

🛠 Installation

composer require iazaran/trace-replay

Quick install:

php artisan trace-replay:install
php artisan migrate

Or publish the config manually:

php artisan vendor:publish --tag=trace-replay-config

Run migrations:

php artisan migrate

Note: Migrations run automatically without publishing. They use json columns and decimal precision for timings, compatible with MySQL 5.7+, MariaDB, PostgreSQL, and SQLite.

⚠️ Important When Updating: Package migrations do not execute automatically upon composer update. Whenever you update TraceReplay to a newer version, you must run php artisan migrate to ensure any newly introduced schema changes are applied. Review UPGRADE.md for behavioral changes between versions, especially around replay safety, job payload capture, and workspace ID scoping.

Publishing Views

To customize the dashboard UI:

php artisan vendor:publish --tag=trace-replay-views

This copies the Blade templates to resources/views/vendor/trace-replay/ where you can customize the layout, colors, or add your own branding.

Recommended: Enable HTTP Middleware

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);
})

⚙️ Configuration

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),

    // Disable on low-cost production servers if query-log overhead is too high
    'track_db_queries' => env('TRACE_REPLAY_TRACK_DB', true),

    // Truncate captured JSON fields after 64 KB by default
    'max_payload_size' => env('TRACE_REPLAY_MAX_PAYLOAD_SIZE', 65536),

    // Automatically mask these keys in payloads, headers, and URL query strings
    'mask_fields' => ['password', 'token', 'api_key', 'authorization', 'cookie', 'secret'],

    // Query bindings can contain PII; keep disabled in production unless needed
    'track_db_query_bindings' => env('TRACE_REPLAY_TRACK_DB_BINDINGS', false),

    // Dashboard security: add a Gate for tighter production access
    'middleware' => ['web', 'auth'],
    'route_prefix' => env('TRACE_REPLAY_ROUTE_PREFIX', 'trace-replay'),

    // Replay safety: mutating methods are blocked and override hosts are restricted
    'replay' => [
        'allow_mutating_methods' => env('TRACE_REPLAY_REPLAY_MUTATING', false),
        'allowed_hosts' => array_filter(explode(',', env('TRACE_REPLAY_REPLAY_ALLOWED_HOSTS', ''))),
    ],

    // Agent/MCP API is disabled until this token is set
    'api' => [
        'token' => env('TRACE_REPLAY_API_TOKEN'),
        'middleware' => ['api'],
        'route_prefix' => env('TRACE_REPLAY_API_ROUTE_PREFIX', 'api/trace-replay'),
        'max_steps' => env('TRACE_REPLAY_API_MAX_STEPS', 500),
    ],

    // 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'),
        'base_url' => env('TRACE_REPLAY_AI_BASE_URL'),
    ],

    // 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,
        'capture_job_payload' => false,
    ],
];

For low-cost production servers, start with sampling instead of tracing every request:

TRACE_REPLAY_SAMPLE_RATE=0.05
TRACE_REPLAY_TRACK_DB=false
TRACE_REPLAY_MAX_PAYLOAD_SIZE=16384

Laravel 11+ applications do not always define an api middleware group. If your app does not, replace trace-replay.api.middleware with middleware that exists in your project, such as ['throttle:api'].

🚀 Usage

Manual Instrumentation

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

Testing Helper

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

Auto Queue-Job Tracing

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.

Job payloads are not captured by default because queue payloads often contain sensitive application data. To opt in:

TRACE_REPLAY_CAPTURE_JOB_PAYLOAD=true

Auto Artisan-Command Tracing

Artisan commands can be auto-traced by enabling auto_trace.commands:

TRACE_REPLAY_AUTO_TRACE_COMMANDS=true

Internal commands like queue:work, horizon, and trace-replay:prune are excluded by default (see auto_trace.exclude_commands in the config).

Debug Bar Component

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 />
@endif

🎨 The Dashboard

Access the built-in dashboard at https://your-app.com/trace-replay.

Dashboard

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

Trace Details

Securing the Dashboard

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=203.0.113.5,10.0.0.1

Replay Safety

HTTP replay is intentionally conservative:

  • Non-GET methods are blocked unless TRACE_REPLAY_REPLAY_MUTATING=true.
  • override_url can only target the originally recorded host by default.
  • Set TRACE_REPLAY_REPLAY_ALLOWED_HOSTS=staging.example.com,*.internal.test to allow explicit replay targets.
  • Sensitive request headers such as Authorization, cookies, CSRF tokens, and forwarded headers are stripped before replay.

Failure Notifications

When trace-replay.notifications.on_failure is enabled, mail/Slack notifications are dispatched through a queued job after the response so slow webhooks do not add latency to failed requests.

🤖 AI Debugging

For 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

No API Key Required

The AI prompt feature works without any API key. Copy the generated prompt and paste it into ChatGPT, Claude, or any other AI assistant.

Optional: Direct AI Integration

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/generate

With a key configured, clicking "Ask AI" sends the prompt to your chosen AI provider and displays the response in the dashboard.

🤖 MCP / AI-Agent JSON-RPC API

TraceReplay exposes a JSON-RPC 2.0 endpoint at POST /api/trace-replay/mcp for autonomous AI agents.

The API is disabled until TRACE_REPLAY_API_TOKEN is configured. Send requests with:

Authorization: Bearer your-token

Available methods:

Method Params Returns
list_traces limit, status, filter_by_error Paginated trace summaries
get_trace_context trace_id, step_limit Trace context with capped 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
}

step_limit defaults to trace-replay.api.max_steps (500) and is capped at that value to keep large traces from producing oversized API responses.

🧹 Data Retention

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 traces

Set TRACE_REPLAY_RETENTION_DAYS to choose the default window. If retention_days is null, the prune command exits without deleting data unless --days is passed.

🩺 Diagnostics

Check production-readiness settings with:

php artisan trace-replay:doctor

The command reports dashboard protection, API token status, sample rate, retention, replay safety, query binding capture, and whether the trace tables exist.

📤 Export

Export 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 traces

🧪 Testing

composer install
composer test
composer format:test

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-insensitivity
  • AiPromptService — prompt generation, OpenAI integration (mocked), null-safety
  • Queue batch persistence, Livewire hydration testing, and mail execution tracking
  • ReplayService — 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

🛡️ License

The MIT License (MIT). See LICENSE for details.