Skip to main content

Simple Library for OpenAI Usage

Project description

openai-usage

PyPI

Utilities to track and estimate API usage costs.

Installation

pip install openai-usage

Usage

Tracking Token Usage

Track usage manually or create Usage objects from OpenAI's response objects.

from openai_usage import Usage
from openai.types.completion_usage import CompletionUsage

# Manually create a Usage object
manual_usage = Usage(requests=1, input_tokens=100, output_tokens=200, total_tokens=300)

# Create from an OpenAI CompletionUsage object
openai_completion_usage = CompletionUsage(prompt_tokens=50, completion_tokens=150, total_tokens=200)
usage_from_openai = Usage.from_openai(openai_completion_usage)

# Add usage objects together
combined_usage = Usage()
combined_usage.add(manual_usage)
combined_usage.add(usage_from_openai)

print(f"Total requests: {combined_usage.requests}")
print(f"Total input tokens: {combined_usage.input_tokens}")
print(f"Total output tokens: {combined_usage.output_tokens}")

Estimating Costs

Estimate the cost of your API usage for any supported model.

from openai_usage import Usage

# Create a usage object
usage = Usage(requests=1, input_tokens=1000, output_tokens=2000, total_tokens=3000)

# Estimate cost for a model
# The library fetches pricing data from an external API
cost = usage.estimate_cost("anthropic/claude-3-haiku")
print(f"Estimated cost for the model: ${cost:.6f}")

# For the most up-to-date pricing, use realtime_pricing=True
cost_realtime = usage.estimate_cost("anthropic/claude-3-haiku", realtime_pricing=True)
print(f"Estimated real-time cost for the model: ${cost_realtime:.6f}")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openai_usage-0.7.2.tar.gz (78.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openai_usage-0.7.2-py3-none-any.whl (81.1 kB view details)

Uploaded Python 3

File details

Details for the file openai_usage-0.7.2.tar.gz.

File metadata

  • Download URL: openai_usage-0.7.2.tar.gz
  • Upload date:
  • Size: 78.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.13 Darwin/25.1.0

File hashes

Hashes for openai_usage-0.7.2.tar.gz
Algorithm Hash digest
SHA256 454731ec51c285ec1c9abeccf98e0b722c368b0a8d9fc16139d129494976ab62
MD5 3d9ea726b67bd3520a82b353a8a8c8a9
BLAKE2b-256 eef2b200892b2be09c6587dd078d53666c99500560c87be6621719d3a2282e07

See more details on using hashes here.

File details

Details for the file openai_usage-0.7.2-py3-none-any.whl.

File metadata

  • Download URL: openai_usage-0.7.2-py3-none-any.whl
  • Upload date:
  • Size: 81.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.13 Darwin/25.1.0

File hashes

Hashes for openai_usage-0.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c38e913a15eb2334ec2cf1c78128d1097909614ba43c410556105c498dcb149f
MD5 6b308fe60381735157c8b07540549482
BLAKE2b-256 c2813923f6fd2e7cf0ae585062026bc36ec2bd8cec1fb304807de56cfce52043

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page