README

A Symfony bundle that tracks LLM API costs and displays them in the Web Debug Toolbar and Profiler.

Hooks into symfony/ai-bundle's TraceablePlatform to calculate per-request costs based on token usage, with support for input, output, cached, and thinking tokens.

Requirements

PHP >= 8.2
Symfony >= 7.0
symfony/ai-bundle >= 0.4

Installation

composer require lunetics/llm-cost-tracking-bundle

If you are not using Symfony Flex, register the bundle manually:

// config/bundles.php
return [
    // ...
    Lunetics\LlmCostTrackingBundle\LuneticsLlmCostTrackingBundle::class => ['all' => true],
];

Features

Web Debug Toolbar — shows total cost and call count for the current request
Profiler Panel — per-call breakdown with model, tokens, and cost
Per-model aggregation — costs grouped by model with totals
Budget warnings — toolbar alerts when costs exceed a configurable threshold
Color-coded costs — green/yellow/red based on configurable thresholds
Dynamic pricing — automatically fetches live model pricing from models.dev, covering hundreds of models without any manual configuration
Unconfigured model detection — warns when a model has no pricing data
Injectable cost tracking — use CostTrackerInterface in your own services to access cost data outside the profiler
Extensible — implement CostCalculatorInterface to provide custom pricing logic

Model Pricing

The bundle resolves pricing for a model using the following priority order:

Your YAML config — models: entries take precedence over everything else
Dynamic pricing from models.dev — the bundle fetches live pricing from models.dev (thousands of models) and caches it for 24 hours. When models.dev is unreachable, a bundled snapshot of ~3000 models is used as a fallback so known models are still priced correctly during outages
Not found — cost is shown as zero with a warning in the profiler

This means most models work out of the box with no configuration. Your own entries always win.

All prices are in USD. The models.dev feed and any prices you configure are all treated as USD. There is no currency conversion; the $ prefix shown in the profiler is a literal dollar sign.

Configuration

# config/packages/lunetics_llm_cost_tracking.yaml
lunetics_llm_cost_tracking:
    budget_warning: 0.50          # toolbar turns red when exceeded
    cost_thresholds:
        low: 0.01                 # below = green
        medium: 0.10              # between low/medium = yellow, above = red
    logging:
        enabled: false            # default: false — opt in to log per-request cost data via Monolog
        channel: 'ai'             # Monolog channel (default: 'ai'); route it via your handlers
    dynamic_pricing:
        enabled: true             # default: true — fetch live pricing from models.dev
        ttl: 86400                # cache duration in seconds (default: 24h, max: 7 days)
    models:
        my-custom-model:
            display_name: 'My Custom Model'
            provider: 'MyProvider'
            input_price_per_million: 1.00
            output_price_per_million: 5.00
            cached_input_price_per_million: 0.10   # optional
            thinking_price_per_million: 5.00       # optional

Logging

Logging is disabled by default. Enable it explicitly to have per-request LLM cost data written via Monolog:

lunetics_llm_cost_tracking:
    logging:
        enabled: true

Each request that makes at least one AI call produces:

one info log per call (model, provider, token breakdown, cost)
one info summary log (total calls, cost, tokens)
one warning if any models lack pricing configuration

Logs are emitted on kernel.terminate — after the response is sent — so there is no latency impact.

To route AI cost logs to a dedicated file, configure a Monolog handler for the ai channel:

# config/packages/monolog.yaml
monolog:
    channels: [ai]
    handlers:
        ai_costs:
            type: stream
            path: '%kernel.logs_dir%/ai_costs.log'
            channels: [ai]

If the ai channel is not explicitly configured, logs fall through to your default handler.

To use a different channel name:

lunetics_llm_cost_tracking:
    logging:
        channel: 'llm'

Disabling Dynamic Pricing

If you want fully offline/air-gapped operation, or prefer explicit control over every model's price:

lunetics_llm_cost_tracking:
    dynamic_pricing:
        enabled: false

When disabled, the bundled snapshot continues to provide model coverage as a read-only baseline — no live HTTP requests are made, and the lunetics:llm:update-pricing command is removed from the container. Your explicit models: config always takes priority over the snapshot. This is the right choice for air-gapped or reproducible-pricing environments where you want stable costs without live API calls.

Upgrade note (v0.3): The old static list of bundled defaults has been replaced with a versioned pricing snapshot (resources/pricing_snapshot.json). When dynamic_pricing.enabled: false, the snapshot serves as an always-on baseline — models that previously returned null pricing may now resolve from the snapshot. If you need strict "only my config" behaviour where unknown models always return nothing, add models: entries for every model you use and configure your app to treat unresolved models as an error.

Adjusting the Cache TTL

The dynamic pricing response is cached to avoid unnecessary HTTP requests on every page load. The default TTL is 24 hours. To refresh more or less frequently:

lunetics_llm_cost_tracking:
    dynamic_pricing:
        ttl: 3600    # 1 hour

Minimum: 1 second. Maximum: 604800 (7 days).

Console Command

To manually refresh the cached pricing from models.dev:

php bin/console lunetics:llm:update-pricing

This clears the cache and immediately fetches fresh pricing. Add --verbose to see the full model table:

php bin/console lunetics:llm:update-pricing --verbose

The command exits with a non-zero status if the API is unreachable or returns no models, making it safe to use in deployment pipelines.

Model Coverage

The bundle ships a versioned snapshot of the models.dev catalogue (~3000 models across ~100 providers) as resources/pricing_snapshot.json. This snapshot is used as a fallback when the live API is unreachable, so pricing works correctly even in offline or air-gapped environments.

The snapshot is regenerated before each release. To regenerate it locally:

make update-snapshot
# or directly:
php bin/generate_snapshot.php

The model string passed to $platform->invoke() (e.g. 'gpt-5') is the same string the bundle uses to look up pricing.

Example: OpenAI GPT

# config/packages/symfony_ai.yaml
symfony_ai:
    platform:
        openai:
            api_key: '%env(OPENAI_API_KEY)%'

// The model string 'gpt-5' is matched against the pricing registry
$result = $platform->invoke('gpt-5', 'Explain Symfony in one sentence.');

No lunetics_llm_cost_tracking config is needed — gpt-5 is covered by dynamic pricing (or the bundled snapshot when offline). Costs appear automatically in the profiler toolbar.

Overriding or Adding Model Pricing

If you use a model that isn't on models.dev (e.g. a fine-tuned or self-hosted model), add it to your config:

lunetics_llm_cost_tracking:
    models:
        ft:gpt-5:my-finetuned-2025:
            display_name: 'My Fine-tuned GPT-5'
            provider: 'OpenAI'
            input_price_per_million: 3.00
            output_price_per_million: 15.00

Your models: entries always take precedence over bundle defaults and dynamic pricing.

Using Cost Data in Your Services

The CostTrackerInterface service is available for dependency injection. Use it to access cost data outside the profiler — for example, in middleware, event listeners, or API responses:

use Lunetics\LlmCostTrackingBundle\Service\CostTrackerInterface;

class MyService
{
    public function __construct(
        private readonly CostTrackerInterface $costTracker,
    ) {}

    public function logCosts(): void
    {
        $totals = $this->costTracker->getTotals();
        // $totals = ['calls' => 3, 'input_tokens' => 5000, ..., 'cost' => 0.042]

        // Or get everything in one call:
        $snapshot = $this->costTracker->getSnapshot();
        // $snapshot = ['calls' => [...], 'by_model' => [...], 'totals' => [...], 'unconfigured_models' => [...]]
    }
}

Available methods: getCalls(), getTotals(), getByModel(), getUnconfiguredModels(), getSnapshot().

The ModelRegistryInterface and CostCalculatorInterface are also available for injection if you need lower-level access to model definitions or cost calculation.

How It Works

The bundle collects data from all services tagged with ai.traceable_platform (provided by symfony/ai-bundle). The CostTracker service iterates over all recorded LLM calls, extracts token usage metadata, and calculates costs using the configured model pricing. Results are memoized for the lifetime of the request, so repeated calls to any getter return the same data without recomputation.

The LlmCostCollector (Symfony Profiler data collector) delegates to CostTracker via getSnapshot(), which returns all cost data in a single atomic call. This separation keeps business logic in a standalone service that can be injected anywhere, while the data collector focuses on profiler integration.

Cost formula per call:

cost = (regular_input_tokens / 1M × input_price)
     + (output_tokens / 1M × output_price)
     + (cached_tokens / 1M × cached_price)
     + (thinking_tokens / 1M × thinking_price)

Where regular_input_tokens = max(0, input_tokens - cached_tokens).

Development

A Docker-based Makefile is provided for local development:

make install          # Install dependencies
make test             # Run PHPUnit tests
make phpstan          # Run PHPStan (level 8)
make cs-check         # Check coding standards
make cs-fix           # Fix coding standards
make ci               # Run all checks
make update-snapshot  # Regenerate resources/pricing_snapshot.json from models.dev

Override the PHP version with PHP_VERSION=8.2 make test.

License

MIT License. See LICENSE for details.

lunetics / llm-cost-tracking-bundle

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