claudeandClaude Opus 5.5
0559783297
- Keep agents, KB collections, users and runtime settings (LOCALAI_DATA_PATH, LOCALAI_CONFIG_DIR) and backends (LOCALAI_BACKENDS_PATH) on the models PVC. The chart's /data, /configuration and /backends are ephemeral, so every pod restart wiped the agent team and the llama.cpp backend. - Default the agent pool to ornith-1.5-9b-q8 with granite-embedding-107m-multilingual embeddings. - Make the image tag a variable, defaulting to the CUDA 13 image that runs. - Patch hostNetwork and the LOCALAI_P2P_TOKEN secretKeyRef (Secret localai/localai-p2p) onto the Deployment after Helm. Both were set by hand, and applying the role would otherwise revert them. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
122 lines
3.8 KiB
YAML
122 lines
3.8 KiB
YAML
#SPDX-License-Identifier: MIT-0
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---
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# tasks file for localai
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- name: Add skynet repo
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kubernetes.core.helm_repository:
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name: go-skynet
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repo_url: https://go-skynet.github.io/helm-charts/
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register: repo_update
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- name: Update Helm repos
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command: helm repo update
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when: repo_update.changed
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- name: Deploy LocalAI
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kubernetes.core.helm:
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name: localai
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chart_ref: go-skynet/local-ai
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release_namespace: localai
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create_namespace: true
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values:
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deployment:
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image:
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tag: "{{ localai_image_tag }}"
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pullPolicy: Always
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runtimeClassName: nvidia
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secretEnv:
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- name: LOCALAI_DISABLE_WEBUI
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value: "{{ localai_disable_webui }}"
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- name: LOCALAI_API_KEY
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value: "{{ localai_api_keys | join(',') }}"
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- name: LOCALAI_WATCHDOG_IDLE
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value: "{{ localai_watchdog_idle }}"
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- name: LOCALAI_WATCHDOG_IDLE_TIMEOUT
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value: "{{ localai_watchdog_idle_timeout }}"
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- name: LOCALAI_WATCHDOG_BUSY
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value: "{{ localai_watchdog_busy }}"
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- name: DEBUG
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value: "{{ localai_debug }}"
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- name: LOCALAI_P2P
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value: "{{ localai_p2p }}"
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- name: LOCALAI_FEDERATED
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value: "{{ localai_federated }}"
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# Keep agents, knowledge-base collections, users and runtime settings
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# on the models PVC; the chart's default /data and /configuration are
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# ephemeral, so a pod restart used to wipe them.
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- name: LOCALAI_DATA_PATH
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value: "{{ localai_data_path }}"
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- name: LOCALAI_CONFIG_DIR
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value: "{{ localai_config_dir }}"
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- name: LOCALAI_BACKENDS_PATH
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value: "{{ localai_backends_path }}"
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- name: LOCALAI_AGENT_POOL_DEFAULT_MODEL
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value: "{{ localai_agent_pool_default_model }}"
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- name: LOCALAI_AGENT_POOL_EMBEDDING_MODEL
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value: "{{ localai_agent_pool_embedding_model }}"
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resources:
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limits:
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nvidia.com/gpu: 1
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persistence:
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models:
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size: 256Gi
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output:
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size: 128Gi
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tolerations:
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- key: specialResources
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operator: Equal
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value: GPU
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effect: NoSchedule
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ingress:
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enabled: true
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className: nginx
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annotations:
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cert-manager.io/cluster-issuer: ca-issuer
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nginx.ingress.kubernetes.io/proxy-read-timeout: "600"
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nginx.ingress.kubernetes.io/proxy-set-header: "X-Forwarded-For"
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hosts:
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- host: localai.eom.dev
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls:
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- secretName: localai-tls
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hosts:
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- localai.eom.dev
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# The chart has no values for these, so patch them onto the Deployment after
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# Helm. hostNetwork lets p2p workers on the LAN reach the server directly.
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- name: Enable host networking
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kubernetes.core.k8s:
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state: patched
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kind: Deployment
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name: localai-local-ai
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namespace: localai
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definition:
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spec:
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template:
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spec:
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hostNetwork: true
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dnsPolicy: ClusterFirstWithHostNet
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when: localai_host_network | bool
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# The p2p token lives in a Secret created outside this role (localai/localai-p2p).
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- name: Read the p2p token from its Secret
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kubernetes.core.k8s:
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state: patched
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kind: Deployment
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name: localai-local-ai
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namespace: localai
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definition:
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spec:
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template:
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spec:
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containers:
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- name: local-ai
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env:
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- name: LOCALAI_P2P_TOKEN
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valueFrom:
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secretKeyRef:
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name: "{{ localai_p2p_token_secret }}"
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key: LOCALAI_P2P_TOKEN
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when: localai_p2p_token_secret | length > 0
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