IChain: Interactive Chain-Building for LLMs

Main features:

  • Ability to cheaply and interactively build a chain of LLM calls
  • Ability to integrate LLM results with regular Python functions
  • Ability to evaluate LLM chains on many examples in parallel

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for shreyashankar from gravatar.com shreyashankar

Credits

Author: Shreya Shankar

License

MIT License (MIT)

Requires

Python >=3.9, <4.0

Classifiers

Report project as malware

Metadata

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for shreyashankar from gravatar.com shreyashankar

Credits

Author: Shreya Shankar

License

MIT License (MIT)

Requires

Python >=3.9, <4.0

Classifiers

Report project as malware

Release files for ichain 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ichain 0.1.3
File Size Uploaded
ichain-0.1.3.tar.gz 1.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ichain 0.1.3
File Interpreter ABI Platform
ichain-0.1.3-py3-none-any.whl 2.1 kB Python 3 none any Details

Total release size: 3.9 kB

Release files / ichain-0.1.3.tar.gz

Download URL ichain-0.1.3.tar.gz
Size 1.8 kB
Tags Source
SHA-256 checksum
How to use checksums 		2d53e3fe3a72b3a99ade655137a66ed79fe19cc9b191312eb62f3146562c7ca2
BLAKE2b-256 checksum
How to use checksums 		89f8027ad5b29284b19dbedb3c354bb2567eacdbcc27750a90cec43d856b5e27
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via poetry/1.6.1 CPython/3.9.18 Darwin/22.4.0

Release files / ichain-0.1.3-py3-none-any.whl

Download URL ichain-0.1.3-py3-none-any.whl
Size 2.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		70e02b36a83fe2227cb633b2be3725318501ed7a10996e2858475730da81ab3e
BLAKE2b-256 checksum
How to use checksums 		199bbf6487ea8ce11707988c416f2493cb1d33746b812a3ca25f9d3241e2ac23
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via poetry/1.6.1 CPython/3.9.18 Darwin/22.4.0

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page