Skip to main content

pai-llm

A pragmatic LLM library for Artificial Intelligence.

Installation

pip install pai-llm

Features

v0.2.4

  • Added conversation history support for langchain's ChatOpenAI.

Metadata

Release files for pai-llm 0.2.4

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

Source distribution (sdist)

Source distribution for pai-llm 0.2.4
File Size Uploaded Provenance Actions
pai_llm-0.2.4.tar.gz 15.4 kB Without provenance Details for pai_llm-0.2.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pai-llm 0.2.4
File Interpreter ABI Platform Actions
pai_llm-0.2.4-py3-none-any.whl Python 3 none any Details for pai_llm-0.2.4-py3-none-any.whl

Total release size: 39.5 kB

Release files / pai_llm-0.2.4.tar.gz

Download URL pai_llm-0.2.4.tar.gz
Size 15.4 kB
Tags Source
SHA-256 checksum
How to use checksums
f728e19b12d05a1ebf990336919f6de8e08b3af4e2c5c022e8f0d735c280ca0e
BLAKE2b-256 checksum
How to use checksums
25106cf96a8027e92df10f8972a176f8568a15028b1ee963776b3c97cf39f6d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.6.6

Release files / pai_llm-0.2.4-py3-none-any.whl

Download URL pai_llm-0.2.4-py3-none-any.whl
Size 24.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6635aad3786c84bb05713c51b7a792b46e3563d52d250b9babb6ebfd85a2c086
BLAKE2b-256 checksum
How to use checksums
c8567e99e276562121f1518a269996f0f6ef59aaa61588503383b5b147bf8040
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.6.6

Security for pai-llm 0.2.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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