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Remove unnecessary envoy.yaml (#99)
* Remove unnecessary envoy.yaml Signed-off-by: José Ulises Niño Rivera <junr03@users.noreply.github.com> * more Signed-off-by: José Ulises Niño Rivera <junr03@users.noreply.github.com> --------- Signed-off-by: José Ulises Niño Rivera <junr03@users.noreply.github.com>
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233
arch/envoy.yaml
233
arch/envoy.yaml
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@ -1,233 +0,0 @@
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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: arch
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domains:
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- "*"
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routes:
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- match:
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headers:
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- name: "x-arch-llm-provider"
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string_match:
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exact: openai
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route:
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auto_host_rewrite: true
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cluster: openai
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timeout: 60s
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- match:
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headers:
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- name: "x-arch-llm-provider"
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string_match:
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exact: mistral
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route:
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auto_host_rewrite: true
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cluster: mistral
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timeout: 60s
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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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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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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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- name: mistral_7b_instruct
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model: mistral-7b-instruct
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endpoint: http://mistral_7b_instruct:10001/v1/chat/completions
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default: true
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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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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: mistral
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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: mistral
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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.mistral.ai
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port_value: 443
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hostname: "api.mistral.ai"
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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.mistral.ai
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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: host.docker.internal
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port_value: 8000
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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: host.docker.internal
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port_value: 8000
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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: host.docker.internal
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port_value: 8000
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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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- name: mistral_7b_instruct
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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: mistral_7b_instruct
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port_value: 10001
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hostname: "mistral_7b_instruct"
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@ -1,37 +0,0 @@
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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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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 Chicago?
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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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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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#TODO: add support for adding custom clusters e.g.
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# clusters:
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# qdrant:
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# options:
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# - address: "qdrant"
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# - address: "weatherhost"
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# - port: 6333
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