Remote inference support for examples in Productivity suite (#1818)

Signed-off-by: Srinarayan Srikanthan <srinarayan.srikanthan@intel.com>

ChatQnA/chatqna.py

@@ -58,6 +58,7 @@ RERANK_SERVER_PORT = int(os.getenv("RERANK_SERVER_PORT", 80))
 LLM_SERVER_HOST_IP = os.getenv("LLM_SERVER_HOST_IP", "0.0.0.0")
 LLM_SERVER_PORT = int(os.getenv("LLM_SERVER_PORT", 80))
 LLM_MODEL = os.getenv("LLM_MODEL", "meta-llama/Meta-Llama-3-8B-Instruct")
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", None)
 
 
 def align_inputs(self, inputs, cur_node, runtime_graph, llm_parameters_dict, **kwargs):
@@ -239,6 +240,7 @@ class ChatQnAService:
             name="llm",
             host=LLM_SERVER_HOST_IP,
             port=LLM_SERVER_PORT,
+            api_key=OPENAI_API_KEY,
             endpoint="/v1/chat/completions",
             use_remote_service=True,
             service_type=ServiceType.LLM,
@@ -272,6 +274,7 @@ class ChatQnAService:
             name="llm",
             host=LLM_SERVER_HOST_IP,
             port=LLM_SERVER_PORT,
+            api_key=OPENAI_API_KEY,
             endpoint="/v1/chat/completions",
             use_remote_service=True,
             service_type=ServiceType.LLM,
@@ -317,6 +320,7 @@ class ChatQnAService:
             name="llm",
             host=LLM_SERVER_HOST_IP,
             port=LLM_SERVER_PORT,
+            api_key=OPENAI_API_KEY,
             endpoint="/v1/chat/completions",
             use_remote_service=True,
             service_type=ServiceType.LLM,

ChatQnA/docker_compose/intel/cpu/xeon/compose_remote.yaml

@@ -0,0 +1,148 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+services:
+  redis-vector-db:
+    image: redis/redis-stack:7.2.0-v9
+    container_name: redis-vector-db
+    ports:
+      - "6379:6379"
+      - "8001:8001"
+    healthcheck:
+      test: ["CMD", "redis-cli", "ping"]
+      interval: 5s
+      timeout: 3s
+      retries: 10
+  dataprep-redis-service:
+    image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
+    container_name: dataprep-redis-server
+    depends_on:
+      redis-vector-db:
+        condition: service_healthy
+      tei-embedding-service:
+        condition: service_started
+    ports:
+      - "6007:5000"
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      REDIS_URL: redis://redis-vector-db:6379
+      REDIS_HOST: redis-vector-db
+      INDEX_NAME: ${INDEX_NAME}
+      TEI_ENDPOINT: http://tei-embedding-service:80
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+  tei-embedding-service:
+    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.6
+    container_name: tei-embedding-server
+    ports:
+      - "6006:80"
+    volumes:
+      - "${MODEL_CACHE:-./data}:/data"
+    shm_size: 1g
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+    command: --model-id ${EMBEDDING_MODEL_ID} --auto-truncate
+  retriever:
+    image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
+    container_name: retriever-redis-server
+    depends_on:
+      - redis-vector-db
+    ports:
+      - "7000:7000"
+    ipc: host
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      REDIS_URL: redis://redis-vector-db:6379
+      REDIS_HOST: redis-vector-db
+      INDEX_NAME: ${INDEX_NAME}
+      TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      LOGFLAG: ${LOGFLAG}
+      RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
+    restart: unless-stopped
+  tei-reranking-service:
+    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.6
+    container_name: tei-reranking-server
+    ports:
+      - "8808:80"
+    volumes:
+      - "${MODEL_CACHE:-./data}:/data"
+    shm_size: 1g
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      HF_HUB_DISABLE_PROGRESS_BARS: 1
+      HF_HUB_ENABLE_HF_TRANSFER: 0
+    command: --model-id ${RERANK_MODEL_ID} --auto-truncate
+  chatqna-xeon-backend-server:
+    image: ${REGISTRY:-opea}/chatqna:${TAG:-latest}
+    container_name: chatqna-xeon-backend-server
+    depends_on:
+      - redis-vector-db
+      - tei-embedding-service
+      - retriever
+      - tei-reranking-service
+    ports:
+      - "8888:8888"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - MEGA_SERVICE_HOST_IP=chatqna-xeon-backend-server
+      - EMBEDDING_SERVER_HOST_IP=tei-embedding-service
+      - EMBEDDING_SERVER_PORT=${EMBEDDING_SERVER_PORT:-80}
+      - RETRIEVER_SERVICE_HOST_IP=retriever
+      - RERANK_SERVER_HOST_IP=tei-reranking-service
+      - RERANK_SERVER_PORT=${RERANK_SERVER_PORT:-80}
+      - LLM_SERVER_HOST_IP=${REMOTE_ENDPOINT}
+      - OPENAI_API_KEY= ${OPENAI_API_KEY}
+      - LLM_SERVER_PORT=80
+      - LLM_MODEL=${LLM_MODEL_ID}
+      - LOGFLAG=${LOGFLAG}
+    ipc: host
+    restart: always
+  chatqna-xeon-ui-server:
+    image: ${REGISTRY:-opea}/chatqna-ui:${TAG:-latest}
+    container_name: chatqna-xeon-ui-server
+    depends_on:
+      - chatqna-xeon-backend-server
+    ports:
+      - "5173:5173"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+    ipc: host
+    restart: always
+  chatqna-xeon-nginx-server:
+    image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
+    container_name: chatqna-xeon-nginx-server
+    depends_on:
+      - chatqna-xeon-backend-server
+      - chatqna-xeon-ui-server
+    ports:
+      - "${NGINX_PORT:-80}:80"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - FRONTEND_SERVICE_IP=chatqna-xeon-ui-server
+      - FRONTEND_SERVICE_PORT=5173
+      - BACKEND_SERVICE_NAME=chatqna
+      - BACKEND_SERVICE_IP=chatqna-xeon-backend-server
+      - BACKEND_SERVICE_PORT=8888
+      - DATAPREP_SERVICE_IP=dataprep-redis-service
+      - DATAPREP_SERVICE_PORT=5000
+    ipc: host
+    restart: always
+
+networks:
+  default:
+    driver: bridge

CodeGen/codegen.py

@@ -29,6 +29,7 @@ RETRIEVAL_SERVICE_HOST_IP = os.getenv("RETRIEVAL_SERVICE_HOST_IP", "0.0.0.0")
 REDIS_RETRIEVER_PORT = int(os.getenv("REDIS_RETRIEVER_PORT", 7000))
 TEI_EMBEDDING_HOST_IP = os.getenv("TEI_EMBEDDING_HOST_IP", "0.0.0.0")
 EMBEDDER_PORT = int(os.getenv("EMBEDDER_PORT", 6000))
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", None)
 
 grader_prompt = """You are a grader assessing relevance of a retrieved document to a user question. \n
 Here is the user question: {question} \n
@@ -113,6 +114,7 @@ class CodeGenService:
             name="llm",
             host=LLM_SERVICE_HOST_IP,
             port=LLM_SERVICE_PORT,
+            api_key=OPENAI_API_KEY,
             endpoint="/v1/chat/completions",
             use_remote_service=True,
             service_type=ServiceType.LLM,

CodeGen/docker_compose/intel/cpu/xeon/compose_remote.yaml

@@ -0,0 +1,125 @@
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+services:
+
+  codegen-xeon-backend-server:
+    image: ${REGISTRY:-opea}/codegen:${TAG:-latest}
+    container_name: codegen-xeon-backend-server
+    ports:
+      - "7778:7778"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - MEGA_SERVICE_HOST_IP=${MEGA_SERVICE_HOST_IP}
+      - LLM_SERVICE_HOST_IP=${REMOTE_ENDPOINT}
+      - OPENAI_API_KEY= ${OPENAI_API_KEY}
+      - RETRIEVAL_SERVICE_HOST_IP=${RETRIEVAL_SERVICE_HOST_IP}
+      - REDIS_RETRIEVER_PORT=${REDIS_RETRIEVER_PORT}
+      - TEI_EMBEDDING_HOST_IP=${TEI_EMBEDDING_HOST_IP}
+      - EMBEDDER_PORT=${EMBEDDER_PORT}
+    ipc: host
+    restart: always
+  codegen-xeon-ui-server:
+    image: ${REGISTRY:-opea}/codegen-gradio-ui:${TAG:-latest}
+    container_name: codegen-xeon-ui-server
+    depends_on:
+      - codegen-xeon-backend-server
+    ports:
+      - "5173:5173"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - BASIC_URL=${BACKEND_SERVICE_ENDPOINT}
+      - MEGA_SERVICE_PORT=${MEGA_SERVICE_PORT}
+      - host_ip=${host_ip}
+      - DATAPREP_ENDPOINT=${DATAPREP_ENDPOINT}
+      - DATAPREP_REDIS_PORT=${DATAPREP_REDIS_PORT}
+    ipc: host
+    restart: always
+  redis-vector-db:
+    image: redis/redis-stack:7.2.0-v9
+    container_name: redis-vector-db
+    ports:
+      - "${REDIS_DB_PORT}:${REDIS_DB_PORT}"
+      - "${REDIS_INSIGHTS_PORT}:${REDIS_INSIGHTS_PORT}"
+  dataprep-redis-server:
+    image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
+    container_name: dataprep-redis-server
+    depends_on:
+      - redis-vector-db
+    ports:
+      - "${DATAPREP_REDIS_PORT}:5000"
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      REDIS_URL: ${REDIS_URL}
+      REDIS_HOST: ${host_ip}
+      INDEX_NAME: ${INDEX_NAME}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      LOGFLAG: true
+    restart: unless-stopped
+  tei-embedding-serving:
+    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
+    container_name: tei-embedding-serving
+    entrypoint: /bin/sh -c "apt-get update && apt-get install -y curl && text-embeddings-router --json-output --model-id ${EMBEDDING_MODEL_ID} --auto-truncate"
+    ports:
+      - "${TEI_EMBEDDER_PORT:-12000}:80"
+    volumes:
+      - "./data:/data"
+    shm_size: 1g
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      host_ip: ${host_ip}
+      HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://${host_ip}:${TEI_EMBEDDER_PORT}/health"]
+      interval: 10s
+      timeout: 6s
+      retries: 48
+  tei-embedding-server:
+    image: ${REGISTRY:-opea}/embedding:${TAG:-latest}
+    container_name: tei-embedding-server
+    ports:
+      - "${EMBEDDER_PORT:-10201}:6000"
+    ipc: host
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      EMBEDDING_COMPONENT_NAME: "OPEA_TEI_EMBEDDING"
+    depends_on:
+      tei-embedding-serving:
+        condition: service_healthy
+    restart: unless-stopped
+  retriever-redis:
+    image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
+    container_name: retriever-redis
+    depends_on:
+      - redis-vector-db
+    ports:
+      - "${REDIS_RETRIEVER_PORT}:${REDIS_RETRIEVER_PORT}"
+    ipc: host
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      REDIS_URL: ${REDIS_URL}
+      REDIS_DB_PORT: ${REDIS_DB_PORT}
+      REDIS_INSIGHTS_PORT: ${REDIS_INSIGHTS_PORT}
+      REDIS_RETRIEVER_PORT: ${REDIS_RETRIEVER_PORT}
+      INDEX_NAME: ${INDEX_NAME}
+      TEI_EMBEDDING_ENDPOINT: ${TEI_EMBEDDING_ENDPOINT}
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      LOGFLAG: ${LOGFLAG}
+      RETRIEVER_COMPONENT_NAME: ${RETRIEVER_COMPONENT_NAME:-OPEA_RETRIEVER_REDIS}
+    restart: unless-stopped
+networks:
+  default:
+    driver: bridge