lmstudio-ai / lmstudio-ai/lmstudio-python
make LM studio process requests parallel
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 875
- Forks
- 166
- PR merge metrics
- No merged PRs in 30d
Description
I want a feature in python package and in GUI that **one LLM can process multiple requests with no queue if we have enough hardware resource**
I heard llama.cpp has this feature but I could not find this feature in lm studio.
we cannot use AsyncOpenAI in current version, the requests will be queue !
Contributor guide
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
No files, tests, or entry points are identified in the issue. Start by locating the Python package and GUI request-handling paths, then verify how requests are currently queued. Done means multiple requests can run concurrently when hardware resources allow, rather than being forced into a single queue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100