[Feature]: PAIR feedback: model-level routing toggles, controlled test runs, and concurrency controls
维护者通常 5 天内回复
还没有人认领这个 Issue。
评估
调研方向
This is a broad feature request covering several separate controls: per-model routing toggles, keep-loaded, concurrency limits, and test-runner scope. No files, tests or entry points are named in the payload, so start by locating the model load/eject actions and the test runner in the desktop UI. Done would mean the request is split into smaller issues with agreed scope.
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描述
Area
Desktop experience
User problem
Hi NVIDIA PAIR team,
First, thank you for building and releasing Personal AI Router. I’m genuinely excited about the product. I love NVIDIA’s local AI direction, and PAIR is exactly the kind of tool I want to use across my RTX machines.
After setting up PAIR across two Windows systems, I ran into a few workflow issues that I think could be improved with some model-level controls.
Right now, PAIR appears to expose model actions like load and eject, but I could not find a clean way to decide which installed models are eligible for routing. That makes the routing behavior feel too automatic. I would love to see controls such as:
- Enable/disable routing per model
- Keep-loaded toggle per model
- Max concurrent models per node
- Preferred node per model
- “Test selected model only”
- “Test selected node only”
- A safer “test all” mode that runs one model at a time, or with a visible concurrency limit
- Time Based Scheduled Loading of Model or Models and Model Grouping
In my setup, the broad test behavior appeared to launch many workload checks across many models at once. Some tests passed, but many failed with messages like “client disconnected before completion” or “context canceled.” When I tested specific models one at a time, the routes worked much more reliably. So the issue seemed less like every model was broken and more like the test runner was overloading the environment or timing out before queued model loads could complete.
I think PAIR would be much easier to trust if installed models, loaded models, and routing-eligible models were treated as separate states in the UI.
Thank you again for the work on PAIR. I’m excited about where this is going, and I hope this feedback is useful.
Best,
Chris
Desired outcome
- Enable/disable routing per model
- Keep-loaded toggle per model
- Max concurrent models per node
- Preferred node per model
- “Test selected model only”
- “Test selected node only”
- A safer “test all” mode that runs one model at a time, or with a visible concurrency limit
- Time Based Scheduled Loading of Model or Models and Model Grouping
Alternatives considered
No response
Compatibility and security implications
No response
Validation approach
No response
Confirmations
- I searched existing issues for duplicates.
- I agree to follow the Code of Conduct.
- 主要语言
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NVIDIA/Personal-AI-Router 的其他 Issue
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enhancement
难度 4/5 3-5 天 新手友好度 25/100
NVIDIA/Personal-AI-Router#154 · 1 条评论 ·
维护者通常 5 天内回复
-
[Feature]: [Ollama] Alert the user about model pull failures可能已有人在做 @ckelseynv 于 1 天前认领。 未关闭enhancement
难度 3/5 1-2 天 新手友好度 56/100
NVIDIA/Personal-AI-Router#152 · 1 条评论 · 已指派 1 人 ·
维护者通常 5 天内回复
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[Bug]: /v1/responses bypasses model-owner filtering in the Ollama proxy可能已有人在做 @ilaigold 于 2 天前认领。 未关闭
难度 3/5 半天 新手友好度 84/100
NVIDIA/Personal-AI-Router#146 ·
维护者通常 5 天内回复
-
Make model download cancellation asynchronous可能已有人在做 @ckelseynv 于 18 天前认领。 未关闭enhancement
NVIDIA/Personal-AI-Router#115 · 已指派 1 人 ·
维护者通常 5 天内回复
-
Derive the model download and cancellation timeouts from measurement可能已有人在做 @ckelseynv 于 18 天前认领。 未关闭enhancement
NVIDIA/Personal-AI-Router#114 · 已指派 1 人 ·
维护者通常 5 天内回复
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