7a40ff629e
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Build and Deploy GooSeek / build-and-deploy (push) Failing after 8m25s
- Add tier-based provider routing in llm-svc - free tier → Ollama (local qwen3.5:9b) - pro/business → Timeweb Cloud AI - Add /api/v1/embed endpoint for embeddings via Ollama - Update Ollama client: qwen3.5:9b default, remove auth - Add GenerateEmbedding() function for qwen3-embedding:0.6b - Add Ollama K8s deployment with GPU support (RTX 4060 Ti) - Add monitoring stack (Prometheus, Grafana, Alertmanager) - Add Grafana dashboards for LLM and security metrics - Update deploy.sh with monitoring and Ollama deployment Made-with: Cursor
86 lines
2.5 KiB
YAML
86 lines
2.5 KiB
YAML
# Job для загрузки моделей Ollama после деплоя
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: ollama-model-loader
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namespace: gooseek
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labels:
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app: ollama-model-loader
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spec:
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ttlSecondsAfterFinished: 3600
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backoffLimit: 3
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template:
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metadata:
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labels:
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app: ollama-model-loader
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spec:
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restartPolicy: OnFailure
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initContainers:
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- name: wait-for-ollama
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image: curlimages/curl:latest
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command:
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- /bin/sh
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- -c
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- |
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echo "Waiting for Ollama to be ready..."
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until curl -sf http://ollama.gooseek.svc.cluster.local:11434/api/tags; do
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echo "Ollama not ready, retrying in 5s..."
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sleep 5
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done
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echo "Ollama is ready!"
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containers:
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- name: model-loader
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image: ollama/ollama:latest
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env:
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- name: OLLAMA_HOST
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value: "http://ollama.gooseek.svc.cluster.local:11434"
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command:
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- /bin/sh
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- -c
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- |
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set -e
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OLLAMA_URL="http://ollama.gooseek.svc.cluster.local:11434"
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pull_model() {
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MODEL=$1
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echo "=== Pulling model: $MODEL ==="
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# Check if model already exists
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EXISTING=$(curl -sf "$OLLAMA_URL/api/tags" | grep -o "\"name\":\"$MODEL\"" || true)
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if [ -n "$EXISTING" ]; then
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echo "Model $MODEL already exists, skipping..."
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return 0
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fi
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# Pull model via API
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echo "Downloading $MODEL..."
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curl -sf "$OLLAMA_URL/api/pull" \
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-H "Content-Type: application/json" \
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-d "{\"name\": \"$MODEL\", \"stream\": false}" \
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--max-time 1800
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echo "Model $MODEL downloaded successfully!"
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}
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echo "=== Ollama Model Loader ==="
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echo "Target: $OLLAMA_URL"
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# Основная модель генерации (4 параллельных воркера)
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pull_model "qwen3.5:9b"
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# Embedding модель (быстрые эмбеддинги)
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pull_model "qwen3-embedding:0.6b"
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echo ""
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echo "=== All models loaded ==="
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curl -sf "$OLLAMA_URL/api/tags" | head -c 500
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echo ""
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resources:
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requests:
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cpu: 100m
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memory: 256Mi
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limits:
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cpu: 500m
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memory: 512Mi
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