apiVersion: v1
entries:
  autoconfig:
  - apiVersion: v2
    appVersion: 0.4.0
    created: "2026-09-25T03:28:19.057494053Z"
    description: k8s 后端发现 → 自动同步 openresty peers / cache-aware-router workers(ModelRoute
      controller)
    digest: 2fdad1fd31b10a0e0e361c33cbba4be304965a47d991c0fd1435d1acd7c403f3
    home: https://github.com/modelsphere/autoconfig
    keywords:
    - routing
    - openresty
    - cache-aware-router
    - service-discovery
    - operator
    name: autoconfig
    sources:
    - https://github.com/modelsphere/autoconfig
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/autoconfig-0.4.0/autoconfig-0.4.0.tgz
    version: 0.4.0
  - apiVersion: v2
    appVersion: 0.3.47
    created: "2026-09-23T08:26:46.752305609Z"
    description: k8s 后端发现 → 自动同步 openresty peers / cache-aware-router workers(ModelRoute
      controller)
    digest: d13abef766d6b57b634821d3e4cc9c75b4d24cbfb7e39c630cfb34a93a3cb13f
    home: https://github.com/modelsphere/autoconfig
    keywords:
    - routing
    - openresty
    - cache-aware-router
    - service-discovery
    - operator
    name: autoconfig
    sources:
    - https://github.com/modelsphere/autoconfig
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/autoconfig-0.3.47/autoconfig-0.3.47.tgz
    version: 0.3.47
  bodylog:
  - apiVersion: v2
    appVersion: 0.1.13
    created: "2026-09-22T09:12:42.321987177Z"
    description: 'Body-log listener for the OpenResty router: receives full request/response
      frames over TCP, writes them as hourly JSONL, and serves rollups over HTTP'
    digest: dd0bd8327675601ad88d121b1b8c838bcd6f9c1fb7fa815a499f1800f7ebf1d8
    home: https://github.com/modelsphere/helm-charts
    keywords:
    - bodylog
    - openresty
    - observability
    name: bodylog
    sources:
    - https://github.com/modelsphere/helm-charts
    - https://github.com/modelsphere/llm-openresty
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/bodylog-0.1.13/bodylog-0.1.13.tgz
    version: 0.1.13
  bodylog-exporter:
  - apiVersion: v2
    appVersion: 0.2.7
    created: "2026-09-29T07:32:50.421996044Z"
    description: Turns the body-log listener's detail records into Prometheus metrics,
      and polls the router's control-plane endpoints for live routing state
    digest: b1fe7ade4122aea97034812b40ca070b457e1cf7f67a0fcec5ecbc90b2cc1919
    home: https://github.com/modelsphere/helm-charts
    keywords:
    - bodylog
    - exporter
    - prometheus
    - observability
    name: bodylog-exporter
    sources:
    - https://github.com/modelsphere/helm-charts
    - https://github.com/modelsphere/llm-openresty
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/bodylog-exporter-0.3.1/bodylog-exporter-0.3.1.tgz
    version: 0.3.1
  - apiVersion: v2
    appVersion: 0.2.6
    created: "2026-09-25T03:28:19.313616553Z"
    description: Turns the body-log listener's detail records into Prometheus metrics,
      and polls the router's control-plane endpoints for live routing state
    digest: 8f1f43f761c0ab1504016851a8b9537c81e45245f2202a1b5e62e5a3644f04c8
    home: https://github.com/modelsphere/helm-charts
    keywords:
    - bodylog
    - exporter
    - prometheus
    - observability
    name: bodylog-exporter
    sources:
    - https://github.com/modelsphere/helm-charts
    - https://github.com/modelsphere/llm-openresty
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/bodylog-exporter-0.3.0/bodylog-exporter-0.3.0.tgz
    version: 0.3.0
  - apiVersion: v2
    appVersion: 0.2.6
    created: "2026-09-22T09:12:42.499617252Z"
    description: Turns the body-log listener's detail records into Prometheus metrics,
      and polls the router's control-plane endpoints for live routing state
    digest: aa736146d839231a04a888b8ad63d44d703cfb14eb89ec128d64559facab2e15
    home: https://github.com/modelsphere/helm-charts
    keywords:
    - bodylog
    - exporter
    - prometheus
    - observability
    name: bodylog-exporter
    sources:
    - https://github.com/modelsphere/helm-charts
    - https://github.com/modelsphere/llm-openresty
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/bodylog-exporter-0.2.6/bodylog-exporter-0.2.6.tgz
    version: 0.2.6
  cart:
  - apiVersion: v2
    appVersion: v0.6.4
    created: "2026-09-21T04:11:59.224197899Z"
    description: 'Cache-aware router: routes each request to the replica that already
      holds the longest matching prompt prefix, while keeping load balanced'
    digest: 0d7d41a1ff1e5e91270b70cbb19a4431c797402abe0e00493fef909b618e6c8b
    home: https://github.com/project-modelpilot/helm-charts
    keywords:
    - cache-aware-router
    - routing
    - autoconfig
    name: cart
    sources:
    - https://github.com/project-modelpilot/helm-charts
    - https://github.com/project-modelpilot/cache_aware_router
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/cart-0.2.2/cart-0.2.2.tgz
    version: 0.2.2
  - apiVersion: v2
    appVersion: v0.6.4
    created: "2026-09-21T03:59:06.982565314Z"
    description: 'Cache-aware router: routes each request to the replica that already
      holds the longest matching prompt prefix, while keeping load balanced'
    digest: d5eb2b7dfac7ff79aa5d898752cdffb79472656201ca32485330d91f62e2dfe7
    home: https://github.com/project-modelpilot/helm-charts
    keywords:
    - cache-aware-router
    - routing
    - autoconfig
    name: cart
    sources:
    - https://github.com/project-modelpilot/helm-charts
    - https://github.com/project-modelpilot/cache_aware_router
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/cart-0.2.1/cart-0.2.1.tgz
    version: 0.2.1
  - apiVersion: v2
    appVersion: v0.6.4
    created: "2026-09-21T03:48:29.922538747Z"
    description: 'Cache-aware router: routes each request to the replica that already
      holds the longest matching prompt prefix, while keeping load balanced'
    digest: ba564b832a134366737bd722ee57e5de6e5f38e9769644f177a5d7c3aa7f0af8
    home: https://github.com/project-modelpilot/helm-charts
    keywords:
    - cache-aware-router
    - routing
    - autoconfig
    name: cart
    sources:
    - https://github.com/project-modelpilot/helm-charts
    - https://github.com/project-modelpilot/cache_aware_router
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/cart-0.2.0/cart-0.2.0.tgz
    version: 0.2.0
  llm-slo-decision-gen:
  - apiVersion: v2
    appVersion: 0.7.0
    created: "2026-09-29T09:54:33.087809152Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      optional slo-api (SLO storage HTTP/UI), and the LLMSLORequirement and JobSLORequirement
      CRDs under inference.modelsphere.dev.  CRD ownership: this chart owns llmslorequirements.inference.modelsphere.dev
      and jobslorequirements.inference.modelsphere.dev (see crds/). Both CRDs carry
      helm.sh/resource-policy: keep so uninstall leaves them in the cluster — existing
      LLMSLORequirement / JobSLORequirement objects are not deleted with the release.
      Do not install a second chart that also ships these CRDs into the same cluster.  LLMScaler
      CRD and the operator that reconciles it are provided by a separate chart (llmscaleoperator
      / llmscaleoperator-system). Deploy that one first if you need autoscaling, not
      just SLO storage. '
    digest: 2b66094f216b2b0317e8d5e0a87e53e44e6734605f01231899b1e93f534ad65b
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.3.4/llm-slo-decision-gen-0.3.4.tgz
    version: 0.3.4
  - apiVersion: v2
    appVersion: 0.7.0
    created: "2026-09-29T09:33:31.519950976Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      optional slo-api (SLO storage HTTP/UI), and the LLMSLORequirement and JobSLORequirement
      CRDs under inference.modelsphere.dev.  CRD ownership: this chart owns llmslorequirements.inference.modelsphere.dev
      and jobslorequirements.inference.modelsphere.dev (see crds/). Both CRDs carry
      helm.sh/resource-policy: keep so uninstall leaves them in the cluster — existing
      LLMSLORequirement / JobSLORequirement objects are not deleted with the release.
      Do not install a second chart that also ships these CRDs into the same cluster.  LLMScaler
      CRD and the operator that reconciles it are provided by a separate chart (llmscaleoperator
      / llmscaleoperator-system). Deploy that one first if you need autoscaling, not
      just SLO storage. '
    digest: 149d878303e1597f78f70ddcca4487195db375c92963bb35e201cd11ad2f895a
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.3.3/llm-slo-decision-gen-0.3.3.tgz
    version: 0.3.3
  - apiVersion: v2
    appVersion: 0.7.0
    created: "2026-09-29T05:57:22.107519574Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      optional slo-api (SLO storage HTTP/UI), and the LLMSLORequirement and JobSLORequirement
      CRDs under inference.modelsphere.dev.  CRD ownership: this chart owns llmslorequirements.inference.modelsphere.dev
      and jobslorequirements.inference.modelsphere.dev (see crds/). Both CRDs carry
      helm.sh/resource-policy: keep so uninstall leaves them in the cluster — existing
      LLMSLORequirement / JobSLORequirement objects are not deleted with the release.
      Do not install a second chart that also ships these CRDs into the same cluster.  LLMScaler
      CRD and the operator that reconciles it are provided by a separate chart (llmscaleoperator
      / llmscaleoperator-system). Deploy that one first if you need autoscaling, not
      just SLO storage. '
    digest: fbaab16e5fa049d69b160739f1b57efa53c8abd70cbc9a49647d47fbfc078ffa
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.3.2/llm-slo-decision-gen-0.3.2.tgz
    version: 0.3.2
  - apiVersion: v2
    appVersion: 0.1.0
    created: "2026-09-29T02:57:25.494010851Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      slo-api (SLO storage API), and the LLMSLORequirement and JobSLORequirement CRDs
      that slo-api exposes.  LLMScaler CRD and the operator that reconciles it are
      provided by a separate chart (llmscaleoperator / llmscaleoperator-system). Deploy
      that one first if you need autoscaling, not just SLO storage. '
    digest: bfd35a690d9d05186888d5c1b89d079a1c07fcce318ad339545639cbb91c288c
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.3.1/llm-slo-decision-gen-0.3.1.tgz
    version: 0.3.1
  - apiVersion: v2
    appVersion: 0.1.0
    created: "2026-09-29T02:49:02.696214563Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      slo-api (SLO storage API), and the LLMSLORequirement and JobSLORequirement CRDs
      that slo-api exposes.  LLMScaler CRD and the operator that reconciles it are
      provided by a separate chart (llmscaleoperator / llmscaleoperator-system). Deploy
      that one first if you need autoscaling, not just SLO storage. '
    digest: d7b174172a0c161df0387547797605a8e29827e0c23e1a9726533ae447f9b306
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.3.0/llm-slo-decision-gen-0.3.0.tgz
    version: 0.3.0
  - apiVersion: v2
    appVersion: 0.1.0
    created: "2026-09-25T03:28:19.538205584Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      slo-api (SLO storage API), and the LLMSLORequirement and JobSLORequirement CRDs
      that slo-api exposes.  LLMScaler CRD and the operator that reconciles it are
      provided by a separate chart (llmscaleoperator / llmscaleoperator-system). Deploy
      that one first if you need autoscaling, not just SLO storage. '
    digest: 5172963e9f6956215ac495b944456484c95458f43e1e6cd1712d1836eddf4a8a
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.2.0/llm-slo-decision-gen-0.2.0.tgz
    version: 0.2.0
  - apiVersion: v2
    appVersion: 0.1.0
    created: "2026-09-24T10:11:59.763536896Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      slo-api (SLO storage API), and the LLMSLORequirement and JobSLORequirement CRDs
      that slo-api exposes.  LLMScaler CRD and the operator that reconciles it are
      provided by a separate chart (llmscaleoperator / llmscaleoperator-system). Deploy
      that one first if you need autoscaling, not just SLO storage. '
    digest: 3efa26488a999832571c77d338a8fc510b641bb97ac4b1df0cfee6a873437509
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.1.2/llm-slo-decision-gen-0.1.2.tgz
    version: 0.1.2
  - apiVersion: v2
    appVersion: 0.1.0
    created: "2026-09-23T06:58:46.987206555Z"
    description: 'LLM and async-job SLO stack: decision-gen (recommendation service),
      slo-api (SLO storage API), and the LLMSLORequirement and JobSLORequirement CRDs
      that slo-api exposes.  LLMScaler CRD and the operator that reconciles it are
      provided by a separate chart (llmscaleoperator / llmscaleoperator-system). Deploy
      that one first if you need autoscaling, not just SLO storage. '
    digest: 4869a22d708e020ee892e109835aeab920bb6fffc87369b703713e47ce81bcb2
    name: llm-slo-decision-gen
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llm-slo-decision-gen-0.1.1/llm-slo-decision-gen-0.1.1.tgz
    version: 0.1.1
  llmscaleoperator:
  - apiVersion: v2
    appVersion: 0.4.0
    created: "2026-09-25T03:28:19.797287864Z"
    description: 'Kubernetes operator that autoscales LLM inference workloads on LLM-specific
      signals -- KV-cache utilization, queue depth, TPM/capacity load -- rather than
      CPU and memory. An HPA specialized for token serving.  Ships the LLMScaler CRD
      (autoscaling.modelsphere.dev/v1alpha1) and the controller that reconciles it.
      The SLO storage side lives in the llm-slo-decision-gen chart; the two are independent,
      and this one is what you need for autoscaling alone.  Generated from the llm-operator
      repo (dist/chart, kubebuilder helm plugin) and maintained here, because this
      is where charts are published from. '
    digest: 7a16ec8a8c6d79e3e04a50228601af87f335762110a6ae0dfedde83e7cddfae5
    keywords:
    - llm
    - autoscaling
    - operator
    - vllm
    - sglang
    name: llmscaleoperator
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llmscaleoperator-0.3.0/llmscaleoperator-0.3.0.tgz
    version: 0.3.0
  - apiVersion: v2
    appVersion: 0.3.1
    created: "2026-09-22T09:34:16.287269807Z"
    description: 'Kubernetes operator that autoscales LLM inference workloads on LLM-specific
      signals -- KV-cache utilization, queue depth, TPM/capacity load -- rather than
      CPU and memory. An HPA specialized for token serving.  Ships the LLMScaler CRD
      (autoscaling.4pd.io/v1alpha1) and the controller that reconciles it. The SLO
      storage side lives in the slo-decision-gen chart; the two are independent, and
      this one is what you need for autoscaling alone.  Generated from the llm-operator
      repo (dist/chart, kubebuilder helm plugin) and maintained here, because this
      is where charts are published from. '
    digest: 015d0464e65f57f61bda7d32cd54030f597c97393ca7e2920508b551123de506
    keywords:
    - llm
    - autoscaling
    - operator
    - vllm
    - sglang
    name: llmscaleoperator
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/llmscaleoperator-0.2.1/llmscaleoperator-0.2.1.tgz
    version: 0.2.1
  openresty:
  - apiVersion: v2
    appVersion: 0.1.20
    created: "2026-09-22T09:12:42.683439268Z"
    description: 'Session-affinity router for LLM inference backends: pins a conversation
      to the backend that already holds its prefix cache, with active health checking,
      adaptive concurrency and full body logging'
    digest: 0b4cdc995c52a5caf9b0a83e2ff00a7859eef21d80e19135b98c3a471aa99671
    home: https://github.com/modelsphere/helm-charts
    keywords:
    - openresty
    - routing
    - session-affinity
    - autoconfig
    name: openresty
    sources:
    - https://github.com/modelsphere/helm-charts
    - https://github.com/modelsphere/llm-openresty
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/openresty-0.1.20/openresty-0.1.20.tgz
    version: 0.1.20
  rdma-injector:
  - apiVersion: v2
    appVersion: 0.2.0
    created: "2026-09-21T04:11:59.460557298Z"
    description: 'Mutating admission webhook that spares workload manifests the RDMA
      boilerplate: pods labelled rdma-ib:"true" get the /etc/gpu-node mount and an
      NCCL_IB_HCA sourced from the node''s healthy InfiniBand ports injected automatically.
      The webhook code is baked into the image; its serving certificate is self-signed
      by the chart at install time, so it installs into any namespace.'
    digest: c6f38589b25eb2e1429c117a15b03520eb44775a3cb9b3ad6a6ec4d234e532a4
    home: https://github.com/project-modelpilot/helm-charts
    name: rdma-injector
    sources:
    - https://github.com/project-modelpilot/helm-charts
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/rdma-injector-0.2.3/rdma-injector-0.2.3.tgz
    version: 0.2.3
  - apiVersion: v2
    appVersion: 0.2.0
    created: "2026-09-21T03:59:07.192206909Z"
    description: 'Mutating admission webhook that spares workload manifests the RDMA
      boilerplate: pods labelled rdma-ib:"true" get the /etc/gpu-node mount and an
      NCCL_IB_HCA sourced from the node''s healthy InfiniBand ports injected automatically.
      The webhook code is baked into the image; its serving certificate is self-signed
      by the chart at install time, so it installs into any namespace.'
    digest: 8bae4d1d12abacdf8f2edd083466b937330653b01da1752af75866e4369f688a
    home: https://github.com/project-modelpilot/helm-charts
    name: rdma-injector
    sources:
    - https://github.com/project-modelpilot/helm-charts
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/rdma-injector-0.2.2/rdma-injector-0.2.2.tgz
    version: 0.2.2
  - apiVersion: v2
    appVersion: 0.2.0
    created: "2026-09-21T03:54:21.934320698Z"
    description: 'Mutating admission webhook that spares workload manifests the RDMA
      boilerplate: pods labelled rdma-ib:"true" get the /etc/gpu-node mount and an
      NCCL_IB_HCA sourced from the node''s healthy InfiniBand ports injected automatically.
      The webhook code is baked into the image; its serving certificate is self-signed
      by the chart at install time, so it installs into any namespace.'
    digest: f4b722cfdf290e6f56a8c7d9e62a36e5ab4a2aadbb79037520fd566e8b1cbb6d
    home: https://github.com/project-modelpilot/helm-charts
    name: rdma-injector
    sources:
    - https://github.com/project-modelpilot/helm-charts
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/rdma-injector-0.2.1/rdma-injector-0.2.1.tgz
    version: 0.2.1
  - apiVersion: v2
    appVersion: 0.2.0
    created: "2026-09-21T03:48:30.185353154Z"
    description: rdma-injector mutating admission webhook —— 给带 label rdma-ib:"true"
      的 pod 自动注入 /etc/gpu-node 挂载 + 启动时 source NCCL_IB_HCA(本机好 IB 口),业务 manifest 零
      RDMA 样板。 代码烤进镜像;serving 证书由 helm 在 install 时自签(可装到任意 namespace)。
    digest: 91012ad1b898649bcfe53df1453fda0ef4241efb57551ace80614c14642a09bb
    home: https://github.com/project-modelpilot/helm-charts
    name: rdma-injector
    sources:
    - https://github.com/project-modelpilot/helm-charts
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/rdma-injector-0.2.0/rdma-injector-0.2.0.tgz
    version: 0.2.0
  sglang:
  - apiVersion: v2
    appVersion: 1.0.0
    created: "2026-09-30T15:22:26.797590571Z"
    dependencies:
    - condition: cart.enabled
      name: cart
      repository: file://../cart
      version: 0.2.2
    description: SGLang inference deployment -- single-node or multi-node (LeaderWorkerSet),
      with optional cache-aware routing, autoscaling and hang detection
    digest: 770c20ab40e5d57a002ec8b72d2bba1e8d8796de659a28cbf16f1f3c61e6dcdd
    home: https://github.com/modelsphere/helm-charts
    name: sglang
    sources:
    - https://github.com/modelsphere/helm-charts
    type: application
    urls:
    - https://github.com/modelsphere/helm-charts/releases/download/sglang-0.8.6/sglang-0.8.6.tgz
    version: 0.8.6
  - apiVersion: v2
    appVersion: 1.0.0
    created: "2026-09-30T09:33:50.544362312Z"
    dependencies:
    - condition: cart.enabled
      name: cart
      repository: file://../cart
      version: 0.2.2
    description: SGLang inference deployment -- single-node or multi-node (LeaderWorkerSet),
      with optional cache-aware routing, autoscaling and hang detection
    digest: 824a9880eb60f933b32442ad47623bb85f0220555113d22a7404b86624844b0e
    home: https://github.com/modelsphere/helm-charts
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generated: "2026-09-30T15:22:27.104014443Z"