Skip to main content

Auto-track AI SDK token usage with cost calculation and statistics

Project description

tokenetc

自动追踪 OpenAI / Anthropic / Gemini SDK 的 token 用量,支持成本计算与多渠道统计。

安装

pip install -e .

使用

import tokenetc

# 一行 patch,自动追踪所有已安装 SDK 的调用(同步 + 异步)
tokenetc.patch()

# 之后正常使用 openai / anthropic / gemini,用量自动记录
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "hello"}],
)

# 手动录入(Cursor / 网页版等无法自动追踪的渠道)
tokenetc.record(
    channel="cursor",
    model="claude-sonnet-4",
    input_tokens=3000,
    output_tokens=500,
)

# 计算费用
cost = tokenetc.cost("gpt-4o", input_tokens=1000, output_tokens=500)
print(f"${cost:.6f}")  # $0.007500

# 查询统计
stats = tokenetc.stats(days=7)
print(stats["total_tokens"])
print(stats["cost_usd"])
print(stats["by_channel"])
print(stats["by_model"])

# 查看所有支持的模型价格
tokenetc.list_models()

数据存储

数据保存在 ~/.tokenetc/data.db(SQLite)。

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

tokenetc-0.1.0.tar.gz (11.0 kB view details)

Uploaded Source

Built Distribution

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

tokenetc-0.1.0-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file tokenetc-0.1.0.tar.gz.

File metadata

  • Download URL: tokenetc-0.1.0.tar.gz
  • Upload date:
  • Size: 11.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.13

File hashes

Hashes for tokenetc-0.1.0.tar.gz
Algorithm Hash digest
SHA256 35698e28326cfdc787254edc8dbe10de625047525352210c21eb08998572d547
MD5 a4ad6a3af5f723ee74405bd971964337
BLAKE2b-256 1e32fc1805ebfcd43914e33f464811bf1579082bff9a67c7896ae6d5c891d810

See more details on using hashes here.

File details

Details for the file tokenetc-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: tokenetc-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.13

File hashes

Hashes for tokenetc-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4cc2233ac02af3c8cdc930ce24e944c8ec73517454b61f7722028e3284c2faae
MD5 7c7ae9094267ee912ed15c9fdefbe267
BLAKE2b-256 ad2bfde7967821d33173853f168af7a7b84f307b322bff130777a2f9fe27a171

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