Supporting Multi-LoRA inferencing via JetStream server #221
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aman2930
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vipannalla and
gangji
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vipannalla
vipannalla
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Mar 10, 2025
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Thanks for the PR, its a bit longish and I'd have preferred you to send the adapter_tensorstore.py and related code as a separate PR since its isolated enough along with the unittests before sending the the PR to integrate it into orchestrator.
I've some initial comments.
Bslabe123
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Mar 17, 2025
vipannalla
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Mar 18, 2025
vipannalla
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Apr 13, 2025
jyj0w0
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Apr 14, 2025
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Change to ubuntu-lastest since ubuntu-20.04 is deprecated Change to ubuntu-lastest since ubuntu-20.04 is deprecated Change to ubuntu-lastest since ubuntu-20.04 is deprecated Move prefix cache from MaxText (#239) Retry grpc async request (#240) The exception raised by asyncio task is not welled catch. If the server is not ready, it cause the benchmark serving blocked forever without noticed. Retry the connection to the server. Adding PyTests in JetStream unit test workflow for code coverage. (#242) Supporting Multi-LoRA inferencing via JetStream server (#221) Supporting Multi-LoRA inferencing via JetStream server following [LLM Inference gateway API protocols](https://github.com/kubernetes-sigs/gateway-api-inference-extension/tree/main/docs/proposals/003-model-server-protocol#inference-api-protocol). - Implemented an adapter_tensorstore to load, store, manage and unload the adapter weights - Added and exposed [required metrics](https://github.com/kubernetes-sigs/gateway-api-inference-extension/tree/main/docs/proposals/003-model-server-protocol#metrics-reporting) at prometheus endpoint - Added multi_lora_decoding service with corresponding APIs as per the [requirement](https://github.com/kubernetes-sigs/gateway-api-inference-extension/tree/main/docs/proposals/003-model-server-protocol#inference-api-protocol). - Implemented single LoRA functionality support.
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Supporting Multi-LoRA inferencing via JetStream server following LLM Inference gateway API protocols.