Convert Flask LLM Serve Code to FastAPI for Asynchronous Support
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- JavaScript
- Stars
- 382
- Forks
- 76
- Avg merge
- 3m
- Merged PRs (30d)
- 4
Description
Currently, the codebase uses Python Flask for serving the LLM. I propose migrating this implementation to FastAPI, which is a more advanced library and provides better asynchronous support. This change will improve scalability, performance, and modernize the API architecture.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the Flask implementation that serves the LLM and identify its API entry points. Review how requests are currently handled before determining the scope of an equivalent FastAPI migration; the work is done when serving uses FastAPI with asynchronous support and the existing API behavior remains available.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- fastapi, flask, python
- Domain
- api, backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100