ai-cost-calculator 0.1.17

Python SDK to calculate LLM API costs

ai-cost-calculator (Python)

Python SDK for calculating LLM API costs from provider response payloads with automatic usage extraction and live pricing lookups.

Installation

pip install ai-cost-calculator

Requires Python ≥ 3.10.

For development:

uv sync

Usage

Basic — Best-Effort Cost Calculation

The simplest way to get a cost. Tries multiple pricing sources until one succeeds:

from ai_cost_calculator import BestEffortCalculator

response = {
    "model": "gpt-4o-mini",
    "usage": {
        "prompt_tokens": 1000,
        "completion_tokens": 500,
        "total_tokens": 1500,
    }
}

result = BestEffortCalculator.get_cost(response)
print(result)
# {"currency": "USD", "cost": 0.000225}

Using a Specific Pricing Source

Pick a calculator to use a single pricing backend:

from ai_cost_calculator import (
    OpenRouterBasedCalculator,
    BerrilmBasedCalculator,
    PortkeyBasedCalculator,
    HeliconeBasedCalculator,
)

result = BerrilmBasedCalculator.get_cost(response)

With Provider-Prefixed Models

Models prefixed with a provider (e.g. from OpenRouter) are automatically normalized:

result = BestEffortCalculator.get_cost({
    "model": "openai/gpt-4o-mini",
    "usage": {"prompt_tokens": 1000, "completion_tokens": 500, "total_tokens": 1500},
})

Anthropic Response Format

Each provider's response format is handled automatically:

result = BestEffortCalculator.get_cost({
    "model": "claude-sonnet-4-20250514",
    "usage": {"input_tokens": 2000, "output_tokens": 800},
})

Google Response Format

result = BestEffortCalculator.get_cost({
    "model": "gemini-2.0-flash",
    "usageMetadata": {
        "promptTokenCount": 1500,
        "candidatesTokenCount": 600,
        "totalTokenCount": 2100,
    },
})

Error Handling

from ai_cost_calculator import BestEffortCalculator
from ai_cost_calculator.errors import (
    BestEffortCalculationError,
    ModelNotFoundError,
    UsageNotFoundError,
)

try:
    result = BestEffortCalculator.get_cost(response)
except BestEffortCalculationError as e:
    print("All pricing sources failed:")
    for cause in e.causes:
        print(f"  - {cause}")
except UsageNotFoundError:
    print("Could not extract token usage from response")

API Reference

Calculators

All calculators expose a single static method:

@staticmethod
def get_cost(response: Any) -> CostResult

Calculator	Pricing Source	Fallback Order
BestEffortCalculator	All sources	OpenRouter → Berri → Portkey → Helicone
OpenRouterBasedCalculator	OpenRouter models API	—
BerrilmBasedCalculator	BerriAI/LiteLLM JSON	—
PortkeyBasedCalculator	Portkey pricing API	—
HeliconeBasedCalculator	Helicone pricing API	—

Types

class CostResult(TypedDict):
    currency: str   # "USD"
    cost: float

@dataclass(frozen=True)
class TokenUsage:
    input_tokens: float
    output_tokens: float
    total_tokens: float

@dataclass(frozen=True)
class NormalizedPricingModel:
    model_id: str
    input_cost_per_1m: float
    output_cost_per_1m: float
    currency: str  # "USD"

class ResponseMetadata(TypedDict):
    model: str
    provider: str

Errors

All errors extend LlmcostError:

Error	Description
UsageNotFoundError	Token usage cannot be extracted from the response
ModelNotFoundError	Model not found in the pricing source
PricingUnavailableError	Pricing values are invalid
ModelInferenceError	Model ID cannot be read from the response
ProviderInferenceError	Provider cannot be determined from the model
BestEffortCalculationError	All sources failed; .causes contains individual errors

Extending Provider Support

Add or update mappings in the root configs/ directory:

• response-mappings.json — JSONPath expressions for extracting token usage per provider
• provider-pricing-mappings.json — JSONPath expressions for normalizing pricing payloads

No code changes are required for mapping updates.

Tests

uv run pytest

Live E2E tests run only when LLMCOST_E2E_LIVE=true is set in the root .env.

When live mode is enabled, tests prefer OpenRouter (OPENROUTER_API_KEY) and fall back to native OpenAI (OPENAI_API_KEY). OpenAI endpoint coverage includes:

• Responses API (/v1/responses)
• Chat Completions API (/v1/chat/completions)
• Legacy Completions API (/v1/completions) — runs only when LLMCOST_E2E_OPENAI_COMPLETIONS_MODEL is configured