refactor: migrate kvbm python bindings to the python directory (#4318)
Signed-off-by: Ryan Olson <rolson@nvidia.com>
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334ce55118
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@ -39,6 +39,7 @@ jobs:
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runs-on:
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group: Fastchecker
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strategy:
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# removing kvbm from here - it will fail to test with nixl dep enabled
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matrix: { dir: ['.', 'lib/bindings/python', 'lib/runtime/examples', 'launch/dynamo-run'] }
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permissions:
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contents: read
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@ -14,7 +14,6 @@ members = [
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"lib/bindings/c",
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"lib/bindings/python/codegen",
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"lib/engines/*",
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"lib/kvbm",
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"lib/config",
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]
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# Exclude certain packages that are slow to build and we don't ship as flagship
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@ -107,7 +106,9 @@ tokio = { version = "1", features = ["full"] }
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tokio-stream = { version = "0.1" }
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tokio-util = { version = "0.7", features = ["codec", "net", "rt"] }
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tower-http = { version = "0.6", features = ["trace"] }
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axum = { version = "0.8", features = ["macros"] }
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axum = { version = "=0.8.4", features = ["macros"] }
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hyper = { version = "=1.7.0" }
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hyper-util = { version = "=0.1.17" }
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tracing = { version = "0.1" }
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tracing-subscriber = { version = "0.3", features = [
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"env-filter",
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@ -134,3 +135,4 @@ insta.opt-level = 3
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# These make the build much slower but shrink the binary, and could help performance
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codegen-units = 1
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lto = "thin"
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@ -317,7 +317,7 @@ RUN --mount=type=secret,id=aws-key-id,env=AWS_ACCESS_KEY_ID \
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cd /opt/dynamo/lib/bindings/python && \
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maturin build --release --out /opt/dynamo/dist && \
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if [ "$ENABLE_KVBM" = "true" ]; then \
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cd /opt/dynamo/lib/kvbm && \
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cd /opt/dynamo/lib/bindings/kvbm && \
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maturin build --release --out /opt/dynamo/dist; \
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fi && \
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/tmp/use-sccache.sh show-stats "Dynamo"
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File diff suppressed because it is too large
Load Diff
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@ -1,6 +1,7 @@
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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[workspace]
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[package]
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name = "kvbm-py3"
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@ -23,8 +24,8 @@ default = ["block-manager"]
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block-manager = ["dynamo-llm/block-manager", "dep:dlpark", "dep:cudarc"]
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[dependencies]
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dynamo-llm = { path = "../llm" }
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dynamo-runtime = { path = "../runtime" }
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dynamo-llm = { path = "../../llm" }
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dynamo-runtime = { path = "../../runtime" }
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anyhow = { version = "1" }
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async-stream = { version = "0.3" }
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@ -19,7 +19,7 @@ limitations under the License.
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The Dynamo KVBM is a distributed KV-cache block management system designed for scalable LLM inference. It cleanly separates memory management from inference runtimes (vLLM, TensorRT-LLM, and SGLang), enabling GPU↔CPU↔Disk/Remote tiering, asynchronous block offload/onboard, and efficient block reuse.
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## Feature Highlights
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@ -84,7 +84,7 @@ DYN_KVBM_CPU_CACHE_GB=100 vllm serve \
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Qwen/Qwen3-8B
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```
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For more detailed integration with dynamo, disaggregated serving support and benchmarking, please check [vllm-setup](../../docs/kvbm/vllm-setup.md)
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For more detailed integration with dynamo, disaggregated serving support and benchmarking, please check [vllm-setup](../../../docs/kvbm/vllm-setup.md)
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### TensorRT-LLM
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@ -106,12 +106,12 @@ DYN_KVBM_CPU_CACHE_GB=100 trtllm-serve Qwen/Qwen3-8B \
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--extra_llm_api_options /tmp/kvbm_llm_api_config.yaml
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```
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For more detailed integration with dynamo and benchmarking, please check [trtllm-setup](../../docs/kvbm/trtllm-setup.md)
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For more detailed integration with dynamo and benchmarking, please check [trtllm-setup](../../../docs/kvbm/trtllm-setup.md)
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## 📚 Docs
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- [Architecture](../../docs/kvbm/kvbm_architecture.md)
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- [Motivation](../../docs/kvbm/kvbm_motivation.md)
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- [Design Deepdive](../../docs/kvbm/kvbm_design_deepdive.md)
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- [Architecture](../../../docs/kvbm/kvbm_architecture.md)
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- [Motivation](../../../docs/kvbm/kvbm_motivation.md)
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- [Design Deepdive](../../../docs/kvbm/kvbm_design_deepdive.md)
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- [NIXL Overview](https://github.com/ai-dynamo/nixl/blob/main/docs/nixl.md)
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