Skip to main content

Lossless token savings + per-pipeline/agent tracking between your agents and the model.

Project description

This is a Next.js project bootstrapped with create-next-app.

site: https://brevitassystems.com

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

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

brevitas_systems-0.7.1.tar.gz (75.0 kB view details)

Uploaded Source

Built Distribution

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

brevitas_systems-0.7.1-py3-none-any.whl (80.3 kB view details)

Uploaded Python 3

File details

Details for the file brevitas_systems-0.7.1.tar.gz.

File metadata

  • Download URL: brevitas_systems-0.7.1.tar.gz
  • Upload date:
  • Size: 75.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for brevitas_systems-0.7.1.tar.gz
Algorithm Hash digest
SHA256 aeeecd9e63da9a12e710be52aaea3b251f709f1a7a0132a52dc3fa6062729ae1
MD5 1318b0ac373802b48406d39898e4492d
BLAKE2b-256 c24bed838f409147ae8d7beb8da1eb1d10616c6f5e85e2cbff6917fc9abb73d3

See more details on using hashes here.

File details

Details for the file brevitas_systems-0.7.1-py3-none-any.whl.

File metadata

File hashes

Hashes for brevitas_systems-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5996774de659e69b43373f18b5587e012ecb4fd0cc9cc72b1f4a4ba538abe24a
MD5 3ad160dc877fe6710503d8b5dca27523
BLAKE2b-256 a803f2742a1aa37260178f32f1b4ce757e7f017be23c92d1b7af059644c3f650

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