lm-sys / lm-sys/FastChat

Delivery pipeline (optional features docker, jupyter, poetry)

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Description

Delivery pipeline (optional features docker, jupyter, poetry)

Dear devs,

I did a bit of work for several AI projects the last weeks.

Specifically build and test automation, or so-called DevOps or CI CD tasks.

Built re-usable libraries wherever possible.

Due to I did this for your project too, I just to inform you. Hoping to make things work more easy.

https://github.com/localagi/FastChat-docker

You could just copy and paste from my project. Pick whatever you want or need.

But I'd prefer discuss if its better to transfer the work into your project. Bit by bit.
The [AI-Pipeline](https://github.com/localagi/AI-pipeline) just got a lot of features over time. Will update the readme also the upcoming days.

Or just leave it on my side as some satelite - maybe i can hook the building process to your releases or something.

Project list: https://github.com/localagi#state-of-work

Thank you for your attention

https://github.com/localagi/localAGI/issues/1

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reviewing the linked FastChat-docker and AI-pipeline projects to understand the proposed delivery-pipeline features. The issue does not name FastChat files or tests; completion would require deciding which Docker, Jupyter, and related automation work belongs in FastChat and how it should connect to releases.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, jupyter, python
Domain
build-system, ci-cd, devops
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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