diff --git a/deploy/charts/arcadia/Chart.yaml b/deploy/charts/arcadia/Chart.yaml index 110168873..69ff50c16 100644 --- a/deploy/charts/arcadia/Chart.yaml +++ b/deploy/charts/arcadia/Chart.yaml @@ -2,8 +2,8 @@ apiVersion: v2 name: arcadia description: A Helm chart(Also a KubeBB Component) for KubeAGI Arcadia type: application -version: 0.3.20 -appVersion: "0.2.0" +version: 0.3.21 +appVersion: "0.2.1" keywords: - LLMOps diff --git a/deploy/charts/arcadia/values.yaml b/deploy/charts/arcadia/values.yaml index 74e96983d..71f2eb25b 100644 --- a/deploy/charts/arcadia/values.yaml +++ b/deploy/charts/arcadia/values.yaml @@ -24,21 +24,20 @@ global: config: # embedder is used as the system default embedding service embedder: - enabled: true + enabled: false model: "bge-large-zh-v1.5" # rerank is the default model for reranking service rerank: enabled: true model: "bge-reranker-large" - # @section controller is used as the core controller for arcadia # @param image Image to be used # @param imagePullPolcy ImagePullPolicy # @param resources Resources to be used controller: loglevel: 3 - image: kubeagi/arcadia:latest + image: kubeagi/arcadia:v0.2.1 imagePullPolicy: IfNotPresent resources: limits: @@ -52,7 +51,7 @@ controller: # related project: https://github.com/kubeagi/arcadia/tree/main/apiserver apiserver: loglevel: 3 - image: kubeagi/arcadia:latest + image: kubeagi/arcadia:v0.2.1 enableplayground: false port: 8081 ingress: @@ -71,7 +70,7 @@ apiserver: opsconsole: enabled: true kubebbEnabled: true - image: kubeagi/ops-console:latest + image: kubeagi/ops-console:v0.2.1-20240322-60c9820 ingress: path: kubeagi-portal-public host: portal..nip.io @@ -143,7 +142,7 @@ minio: # Related project: https://github.com/kubeagi/arcadia/tree/main/data-processing dataprocess: enabled: true - image: kubeagi/data-processing:latest + image: kubeagi/data-processing:v0.2.1 port: 28888 config: llm: @@ -197,7 +196,8 @@ ray: # clusters provided by ray # For more information on cluster configurations,please refer to http://kubeagi.k8s.com.cn/docs/Configuration/DistributedInference/run-inference-using-ray clusters: - - name: 3090-2-GPUs + # cluster1 comes from https://github.com/kubeagi/arcadia/blob/main/config/samples/ray.io_v1_raycluster.yaml + - name: cluster1 headAddress: raycluster-kuberay-head-svc.kuberay-system.svc:6379 pythonVersion: 3.9.18 dashboardHost: raycluster-kuberay-head-svc.kuberay-system.svc:8265