mirror of
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Add workflow logic for weather forecast demo (#24)
This commit is contained in:
parent
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commit
33f9dd22e6
32 changed files with 1902 additions and 459 deletions
15
demos/weather-forecast/README.md
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15
demos/weather-forecast/README.md
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# Weather forecasting
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This demo shows how you can use intelligent prompt gateway to provide realtime weather forecast.
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# Startig the demo
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1. Create `.env` file and set OpenAI key using env var `OPENAI_API_KEY`
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1. Start services
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```sh
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$ docker compose up
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```
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1. Navigate to http://localhost:18080/
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1. You can type in queries like "how is the weather in Seattle"
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1. You can also ask follow up questions like "show me sunny days"
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2. To see metrics navigate to "http://localhost:3000/" (use admin/grafana for login)
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1. Open up dahsboard named "Intelligent Gateway Overview"
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2. On this dashboard you can see reuqest latency and number of requests
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85
demos/weather-forecast/docker-compose.yaml
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85
demos/weather-forecast/docker-compose.yaml
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@ -0,0 +1,85 @@
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services:
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envoy:
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build:
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context: ../../
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dockerfile: envoyfilter/Dockerfile
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hostname: envoy
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ports:
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- "10000:10000"
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- "19901:9901"
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volumes:
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- ./envoy.yaml:/etc/envoy/envoy.yaml
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- /etc/ssl/cert.pem:/etc/ssl/cert.pem
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networks:
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- envoymesh
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depends_on:
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embeddingserver:
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condition: service_healthy
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embeddingserver:
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build:
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context: ../../embedding-server
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dockerfile: Dockerfile
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ports:
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- "18081:80"
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healthcheck:
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test: ["CMD", "curl" ,"http://localhost:80/healthz"]
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interval: 5s
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retries: 20
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networks:
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- envoymesh
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qdrant:
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image: qdrant/qdrant
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hostname: vector-db
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ports:
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- 16333:6333
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- 16334:6334
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networks:
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- envoymesh
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chatbot-ui:
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build:
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context: ../../chatbot-ui
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dockerfile: Dockerfile
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ports:
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- "18080:8080"
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networks:
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- envoymesh
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environment:
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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- CHAT_COMPLETION_ENDPOINT=http://envoy:10000/v1/chat/completions
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prometheus:
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image: prom/prometheus
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container_name: prometheus
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command:
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- '--config.file=/etc/prometheus/prometheus.yaml'
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ports:
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- 9090:9090
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restart: unless-stopped
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volumes:
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- ./prometheus:/etc/prometheus
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- ./prom_data:/prometheus
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networks:
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- envoymesh
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grafana:
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image: grafana/grafana
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container_name: grafana
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ports:
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- 3000:3000
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restart: unless-stopped
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environment:
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- GF_SECURITY_ADMIN_USER=admin
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- GF_SECURITY_ADMIN_PASSWORD=grafana
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volumes:
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- ./grafana:/etc/grafana/provisioning/datasources
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- ./grafana/dashboard.yaml:/etc/grafana/provisioning/dashboards/main.yaml
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- ./grafana/dashboards:/var/lib/grafana/dashboards
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# - ./grafana-data:/var/lib/grafana
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networks:
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- envoymesh
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networks:
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envoymesh: {}
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197
demos/weather-forecast/envoy.yaml
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197
demos/weather-forecast/envoy.yaml
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admin:
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address:
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socket_address: { address: 0.0.0.0, port_value: 9901 }
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static_resources:
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listeners:
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address:
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socket_address:
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address: 0.0.0.0
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port_value: 10000
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filter_chains:
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- filters:
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- name: envoy.filters.network.http_connection_manager
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
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stat_prefix: ingress_http
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codec_type: AUTO
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scheme_header_transformation:
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scheme_to_overwrite: https
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route_config:
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name: local_routes
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virtual_hosts:
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- name: openai
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domains:
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- "api.openai.com"
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routes:
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- match:
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prefix: "/"
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route:
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auto_host_rewrite: true
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cluster: openai
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- name: local_service
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domains:
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- "*"
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routes:
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- match:
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prefix: "/v1/chat/completions"
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route:
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auto_host_rewrite: true
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cluster: openai
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- match:
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prefix: "/embeddings"
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route:
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cluster: embeddingserver
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- match:
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prefix: "/"
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direct_response:
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status: 200
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body:
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inline_string: "Inspect the HTTP header: custom-header.\n"
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http_filters:
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- name: envoy.filters.http.wasm
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typed_config:
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"@type": type.googleapis.com/udpa.type.v1.TypedStruct
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type_url: type.googleapis.com/envoy.extensions.filters.http.wasm.v3.Wasm
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value:
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config:
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name: "http_config"
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configuration:
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"@type": "type.googleapis.com/google.protobuf.StringValue"
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value: |
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katanemo-prompt-config:
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default-prompt-endpoint: "127.0.0.1"
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load-balancing: "round-robin"
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timeout-ms: 5000
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embedding-provider:
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name: "SentenceTransformer"
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model: "all-MiniLM-L6-v2"
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llm-providers:
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- name: "open-ai-gpt-4"
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api-key: "$OPEN_AI_API_KEY"
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model: gpt-4
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prompt-targets:
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- type: context-resolver
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name: weather-forecast
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few-shot-examples:
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- what is the weather in New York?
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- how is the weather in San Francisco?
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- what is the forecast in Seattle?
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entities:
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- name: city
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required: true
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- name: days
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endpoint:
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cluster: weatherhost
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path: /weather
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cache-response: true
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cache-response-settings:
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- cache-ttl-secs: 3600 # cache expiry in seconds
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- cache-max-size: 1000 # in number of items
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- cache-eviction-strategy: LRU
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system-prompt: |
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You are a helpful weather forecaster. Use weater data that is provided to you. Please following following guidelines when responding to user queries:
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- Use farenheight for temperature
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- Use miles per hour for wind speed
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vm_config:
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runtime: "envoy.wasm.runtime.v8"
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code:
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local:
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filename: "/etc/envoy/proxy-wasm-plugins/intelligent_prompt_gateway.wasm"
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- name: envoy.filters.http.router
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.filters.http.router.v3.Router
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clusters:
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# LLM Host
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# Embedding Providers
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# External LLM Providers
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- name: openai
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connect_timeout: 5s
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type: LOGICAL_DNS
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lb_policy: ROUND_ROBIN
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typed_extension_protocol_options:
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envoy.extensions.upstreams.http.v3.HttpProtocolOptions:
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"@type": type.googleapis.com/envoy.extensions.upstreams.http.v3.HttpProtocolOptions
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explicit_http_config:
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http2_protocol_options: {}
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load_assignment:
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cluster_name: openai
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: api.openai.com
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port_value: 443
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hostname: "api.openai.com"
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transport_socket:
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name: envoy.transport_sockets.tls
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext
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sni: api.openai.com
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common_tls_context:
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tls_params:
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tls_minimum_protocol_version: TLSv1_2
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tls_maximum_protocol_version: TLSv1_3
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- name: embeddingserver
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connect_timeout: 5s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: embeddingserver
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: embeddingserver
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port_value: 80
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hostname: "embeddingserver"
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- name: weatherhost
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connect_timeout: 5s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: weatherhost
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: embeddingserver
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port_value: 80
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hostname: "embeddingserver"
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- name: nerhost
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connect_timeout: 5s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: nerhost
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: embeddingserver
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port_value: 80
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hostname: "embeddingserver"
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- name: qdrant
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connect_timeout: 5s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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load_assignment:
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cluster_name: qdrant
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: qdrant
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port_value: 6333
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hostname: "qdrant"
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12
demos/weather-forecast/grafana/dashboard.yaml
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12
demos/weather-forecast/grafana/dashboard.yaml
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@ -0,0 +1,12 @@
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apiVersion: 1
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providers:
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- name: "Dashboard provider"
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orgId: 1
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type: file
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disableDeletion: false
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updateIntervalSeconds: 10
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allowUiUpdates: false
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options:
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path: /var/lib/grafana/dashboards
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foldersFromFilesStructure: true
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355
demos/weather-forecast/grafana/dashboards/envoy_overview.json
Normal file
355
demos/weather-forecast/grafana/dashboards/envoy_overview.json
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@ -0,0 +1,355 @@
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{
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"annotations": {
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"list": [
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{
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"builtIn": 1,
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"datasource": {
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"type": "grafana",
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"uid": "-- Grafana --"
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},
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"enable": true,
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"hide": true,
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"iconColor": "rgba(0, 211, 255, 1)",
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"name": "Annotations & Alerts",
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"type": "dashboard"
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}
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]
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},
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"editable": true,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 1,
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"links": [],
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"panels": [
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{
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"datasource": {
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"type": "prometheus",
|
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"uid": "PBFA97CFB590B2093"
|
||||
},
|
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"fieldConfig": {
|
||||
"defaults": {
|
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"color": {
|
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"mode": "palette-classic"
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},
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"custom": {
|
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"axisBorderShow": false,
|
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"axisCenteredZero": false,
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"axisColorMode": "text",
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"axisLabel": "",
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"axisPlacement": "auto",
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"barAlignment": 0,
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"drawStyle": "line",
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"fillOpacity": 0,
|
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"gradientMode": "none",
|
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"hideFrom": {
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"legend": false,
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"tooltip": false,
|
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"viz": false
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},
|
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"insertNulls": false,
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"lineInterpolation": "linear",
|
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"lineWidth": 1,
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"pointSize": 5,
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"scaleDistribution": {
|
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"type": "linear"
|
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},
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"showPoints": "auto",
|
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"spanNulls": false,
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"stacking": {
|
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"group": "A",
|
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"mode": "none"
|
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},
|
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"thresholdsStyle": {
|
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"mode": "off"
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||||
}
|
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},
|
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"mappings": [],
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"thresholds": {
|
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"mode": "absolute",
|
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"steps": [
|
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{
|
||||
"color": "green",
|
||||
"value": null
|
||||
},
|
||||
{
|
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"color": "red",
|
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"value": 80
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}
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]
|
||||
}
|
||||
},
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"overrides": []
|
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},
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
|
||||
"y": 0
|
||||
},
|
||||
"id": 2,
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||||
"options": {
|
||||
"legend": {
|
||||
"calcs": [],
|
||||
"displayMode": "list",
|
||||
"placement": "bottom",
|
||||
"showLegend": true
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "single",
|
||||
"sort": "none"
|
||||
}
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"disableTextWrap": false,
|
||||
"editorMode": "code",
|
||||
"expr": "avg(rate(envoy_cluster_internal_upstream_rq_time_sum[1m]) / rate(envoy_cluster_internal_upstream_rq_time_count[1m])) by (envoy_cluster_name)",
|
||||
"fullMetaSearch": false,
|
||||
"hide": false,
|
||||
"includeNullMetadata": true,
|
||||
"instant": false,
|
||||
"legendFormat": "__auto",
|
||||
"range": true,
|
||||
"refId": "A",
|
||||
"useBackend": false
|
||||
}
|
||||
],
|
||||
"title": "request latency - internal (ms)",
|
||||
"type": "timeseries"
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
|
||||
"mode": "palette-classic"
|
||||
},
|
||||
"custom": {
|
||||
"axisBorderShow": false,
|
||||
"axisCenteredZero": false,
|
||||
"axisColorMode": "text",
|
||||
"axisLabel": "",
|
||||
"axisPlacement": "auto",
|
||||
"barAlignment": 0,
|
||||
"drawStyle": "line",
|
||||
"fillOpacity": 0,
|
||||
"gradientMode": "none",
|
||||
"hideFrom": {
|
||||
"legend": false,
|
||||
"tooltip": false,
|
||||
"viz": false
|
||||
},
|
||||
"insertNulls": false,
|
||||
"lineInterpolation": "linear",
|
||||
"lineWidth": 1,
|
||||
"pointSize": 5,
|
||||
"scaleDistribution": {
|
||||
"type": "linear"
|
||||
},
|
||||
"showPoints": "auto",
|
||||
"spanNulls": false,
|
||||
"stacking": {
|
||||
"group": "A",
|
||||
"mode": "none"
|
||||
},
|
||||
"thresholdsStyle": {
|
||||
"mode": "off"
|
||||
}
|
||||
},
|
||||
"mappings": [],
|
||||
"thresholds": {
|
||||
"mode": "absolute",
|
||||
"steps": [
|
||||
{
|
||||
"color": "green",
|
||||
"value": null
|
||||
},
|
||||
{
|
||||
"color": "red",
|
||||
"value": 80
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"overrides": []
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 8,
|
||||
"w": 12,
|
||||
"x": 12,
|
||||
"y": 0
|
||||
},
|
||||
"id": 1,
|
||||
"options": {
|
||||
"legend": {
|
||||
"calcs": [],
|
||||
"displayMode": "list",
|
||||
"placement": "bottom",
|
||||
"showLegend": true
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "single",
|
||||
"sort": "none"
|
||||
}
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"disableTextWrap": false,
|
||||
"editorMode": "code",
|
||||
"expr": "avg(rate(envoy_cluster_external_upstream_rq_time_sum[1m]) / rate(envoy_cluster_external_upstream_rq_time_count[1m])) by (envoy_cluster_name)",
|
||||
"fullMetaSearch": false,
|
||||
"hide": false,
|
||||
"includeNullMetadata": true,
|
||||
"instant": false,
|
||||
"legendFormat": "__auto",
|
||||
"range": true,
|
||||
"refId": "A",
|
||||
"useBackend": false
|
||||
}
|
||||
],
|
||||
"title": "request latency - external (ms)",
|
||||
"type": "timeseries"
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
|
||||
"mode": "palette-classic"
|
||||
},
|
||||
"custom": {
|
||||
"axisBorderShow": false,
|
||||
"axisCenteredZero": false,
|
||||
"axisColorMode": "text",
|
||||
"axisLabel": "",
|
||||
"axisPlacement": "auto",
|
||||
"barAlignment": 0,
|
||||
"drawStyle": "line",
|
||||
"fillOpacity": 0,
|
||||
"gradientMode": "none",
|
||||
"hideFrom": {
|
||||
"legend": false,
|
||||
"tooltip": false,
|
||||
"viz": false
|
||||
},
|
||||
"insertNulls": false,
|
||||
"lineInterpolation": "linear",
|
||||
"lineWidth": 1,
|
||||
"pointSize": 5,
|
||||
"scaleDistribution": {
|
||||
"type": "linear"
|
||||
},
|
||||
"showPoints": "auto",
|
||||
"spanNulls": false,
|
||||
"stacking": {
|
||||
"group": "A",
|
||||
"mode": "none"
|
||||
},
|
||||
"thresholdsStyle": {
|
||||
"mode": "off"
|
||||
}
|
||||
},
|
||||
"mappings": [],
|
||||
"thresholds": {
|
||||
"mode": "absolute",
|
||||
"steps": [
|
||||
{
|
||||
"color": "green",
|
||||
"value": null
|
||||
},
|
||||
{
|
||||
"color": "red",
|
||||
"value": 80
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"overrides": []
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 8,
|
||||
"w": 12,
|
||||
"x": 0,
|
||||
"y": 8
|
||||
},
|
||||
"id": 3,
|
||||
"options": {
|
||||
"legend": {
|
||||
"calcs": [],
|
||||
"displayMode": "list",
|
||||
"placement": "bottom",
|
||||
"showLegend": true
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "single",
|
||||
"sort": "none"
|
||||
}
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"disableTextWrap": false,
|
||||
"editorMode": "code",
|
||||
"expr": "avg(rate(envoy_cluster_internal_upstream_rq_completed[1m])) by (envoy_cluster_name)",
|
||||
"fullMetaSearch": false,
|
||||
"includeNullMetadata": true,
|
||||
"instant": false,
|
||||
"legendFormat": "__auto",
|
||||
"range": true,
|
||||
"refId": "A",
|
||||
"useBackend": false
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "prometheus",
|
||||
"uid": "PBFA97CFB590B2093"
|
||||
},
|
||||
"disableTextWrap": false,
|
||||
"editorMode": "code",
|
||||
"expr": "avg(rate(envoy_cluster_external_upstream_rq_completed[1m])) by (envoy_cluster_name)",
|
||||
"fullMetaSearch": false,
|
||||
"hide": false,
|
||||
"includeNullMetadata": true,
|
||||
"instant": false,
|
||||
"legendFormat": "__auto",
|
||||
"range": true,
|
||||
"refId": "B",
|
||||
"useBackend": false
|
||||
}
|
||||
],
|
||||
"title": "Upstream request count",
|
||||
"type": "timeseries"
|
||||
}
|
||||
],
|
||||
"schemaVersion": 39,
|
||||
"tags": [],
|
||||
"templating": {
|
||||
"list": []
|
||||
},
|
||||
"time": {
|
||||
"from": "now-15m",
|
||||
"to": "now"
|
||||
},
|
||||
"timepicker": {},
|
||||
"timezone": "browser",
|
||||
"title": "Intelligent Gateway Overview",
|
||||
"uid": "adt6uhx5lk8aob",
|
||||
"version": 3,
|
||||
"weekStart": ""
|
||||
}
|
||||
9
demos/weather-forecast/grafana/datasource.yaml
Normal file
9
demos/weather-forecast/grafana/datasource.yaml
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
apiVersion: 1
|
||||
|
||||
datasources:
|
||||
- name: Prometheus
|
||||
type: prometheus
|
||||
url: http://prometheus:9090
|
||||
isDefault: true
|
||||
access: proxy
|
||||
editable: true
|
||||
23
demos/weather-forecast/prometheus/prometheus.yaml
Normal file
23
demos/weather-forecast/prometheus/prometheus.yaml
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
global:
|
||||
scrape_interval: 15s
|
||||
scrape_timeout: 10s
|
||||
evaluation_interval: 15s
|
||||
alerting:
|
||||
alertmanagers:
|
||||
- static_configs:
|
||||
- targets: []
|
||||
scheme: http
|
||||
timeout: 10s
|
||||
api_version: v1
|
||||
scrape_configs:
|
||||
- job_name: envoy
|
||||
honor_timestamps: true
|
||||
scrape_interval: 15s
|
||||
scrape_timeout: 10s
|
||||
metrics_path: /stats
|
||||
scheme: http
|
||||
static_configs:
|
||||
- targets:
|
||||
- envoy:9901
|
||||
params:
|
||||
format: ['prometheus']
|
||||
Loading…
Add table
Add a link
Reference in a new issue