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6 Commits

Author SHA1 Message Date
xiguiw
a03feb700b Merge branch 'main' into update_vLLM 2025-05-16 11:18:10 +08:00
xiguiw
94222d5783 Merge branch 'main' into update_vLLM 2025-05-16 09:04:30 +08:00
CICD-at-OPEA
274af9eabc Update vLLM version to v0.9.0
Signed-off-by: CICD-at-OPEA <CICD@opea.dev>
2025-05-15 22:41:49 +00:00
CICD-at-OPEA
238fb52a92 Update vLLM version to v0.8.5
Signed-off-by: CICD-at-OPEA <CICD@opea.dev>
2025-05-13 22:42:16 +00:00
Ying Hu
4a17638b5c Merge branch 'main' into update_vLLM 2025-05-13 16:00:56 +08:00
CICD-at-OPEA
2160d43a32 Update vLLM version to v0.8.5
Signed-off-by: CICD-at-OPEA <CICD@opea.dev>
2025-05-08 08:37:52 +00:00
229 changed files with 1462 additions and 1540 deletions

View File

@@ -1,5 +1,5 @@
# Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
export VLLM_VER=v0.8.3
export VLLM_VER=v0.9.0
export VLLM_FORK_VER=v0.6.6.post1+Gaudi-1.20.0

View File

@@ -55,7 +55,7 @@ jobs:
- name: Run tests
id: run-test
env:
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HF_TOKEN }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
run: |

View File

@@ -165,8 +165,8 @@ jobs:
env:
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HF_TOKEN }}
HFTOKEN: ${{ secrets.HF_TOKEN }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
HFTOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
value_file: ${{ matrix.value_file }}
run: |
set -xe

View File

@@ -160,8 +160,8 @@ jobs:
- name: Run test
shell: bash
env:
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HF_TOKEN }}
HF_TOKEN: ${{ secrets.HF_TOKEN }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
HF_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
PINECONE_KEY: ${{ secrets.PINECONE_KEY }}
@@ -204,10 +204,6 @@ jobs:
if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && sleep 1s; fi
echo "Cleaning up images ..."
df -h
sleep 1
docker system df
sleep 1
if [[ "${{ inputs.hardware }}" == "xeon"* ]]; then
docker system prune -a -f
else
@@ -217,13 +213,7 @@ jobs:
docker images --filter reference="opea/comps-base" -q | xargs -r docker rmi && sleep 1s
docker system prune -f
fi
sleep 5
docker images
sleep 1
df -h
sleep 1
docker system df
sleep 1
- name: Publish pipeline artifact
if: ${{ !cancelled() }}

View File

@@ -80,7 +80,6 @@ jobs:
- name: Checking Relative Path Validity
run: |
cd ${{github.workspace}}
delay=15
fail="FALSE"
repo_name=${{ github.event.pull_request.head.repo.full_name }}
branch="https://github.com/$repo_name/blob/${{ github.event.pull_request.head.ref }}"
@@ -112,15 +111,14 @@ jobs:
if [[ "$png_line" == *#* ]]; then
if [ -n "changed_files" ] && echo "$changed_files" | grep -q "^${refer_path}$"; then
url_dev=$branch$(echo "$real_path" | sed 's|.*/GenAIExamples||')$png_path
sleep $delay
response=$(curl -I -L -s -o /dev/null -w "%{http_code}" "$url_dev")
if [ "$response" -ne 200 ]; then
echo "**********Validation failed ($response), try again**********"
echo "**********Validation failed, try again**********"
response_retry=$(curl -s -o /dev/null -w "%{http_code}" "$url_dev")
if [ "$response_retry" -eq 200 ]; then
echo "*****Retry successfully*****"
else
echo "Invalid path ($response_retry) from ${{github.workspace}}/$refer_path: $png_path"
echo "Invalid path from ${{github.workspace}}/$refer_path: $png_path"
fail="TRUE"
fi
else

View File

@@ -13,8 +13,8 @@ services:
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
TGI_LLM_ENDPOINT: "http://${ip_address}:${TGI_SERVICE_PORT}"
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
shm_size: 32g
devices:
- /dev/kfd:/dev/kfd
@@ -42,7 +42,7 @@ services:
with_memory: false
recursion_limit: ${recursion_limit_worker}
llm_engine: tgi
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -76,7 +76,7 @@ services:
use_hints: false
recursion_limit: ${recursion_limit_worker}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -104,7 +104,7 @@ services:
with_memory: true
recursion_limit: ${recursion_limit_supervisor}
llm_engine: tgi
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}

View File

@@ -10,8 +10,8 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
WILM_USE_TRITON_FLASH_ATTENTION: 0
@@ -46,7 +46,7 @@ services:
with_memory: false
recursion_limit: ${recursion_limit_worker}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -80,7 +80,7 @@ services:
use_hints: false
recursion_limit: ${recursion_limit_worker}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -108,7 +108,7 @@ services:
with_memory: true
recursion_limit: ${recursion_limit_supervisor}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}

View File

@@ -19,7 +19,7 @@ export CRAG_SERVER_PORT="18114"
export WORKPATH=$(dirname "$PWD")
export WORKDIR=${WORKPATH}/../../../
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
export HF_CACHE_DIR="./data"
export MODEL_CACHE="./data"
@@ -39,7 +39,7 @@ export CRAG_SERVER=http://${ip_address}:${CRAG_SERVER_PORT}
export WORKER_AGENT_URL="http://${ip_address}:${WORKER_RAG_AGENT_PORT}/v1/chat/completions"
export SQL_AGENT_URL="http://${ip_address}:${WORKER_SQL_AGENT_PORT}/v1/chat/completions"
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -19,7 +19,7 @@ export CRAG_SERVER_PORT="18114"
export WORKPATH=$(dirname "$PWD")
export WORKDIR=${WORKPATH}/../../../
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export VLLM_LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
export HF_CACHE_DIR="./data"
export MODEL_CACHE="./data"
@@ -40,7 +40,7 @@ export CRAG_SERVER=http://${ip_address}:${CRAG_SERVER_PORT}
export WORKER_AGENT_URL="http://${ip_address}:${WORKER_RAG_AGENT_PORT}/v1/chat/completions"
export SQL_AGENT_URL="http://${ip_address}:${WORKER_SQL_AGENT_PORT}/v1/chat/completions"
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -20,8 +20,8 @@ export CRAG_SERVER_PORT="18114"
export WORKPATH=$(dirname "$PWD")
export WORKDIR=${WORKPATH}/../../../
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export VLLM_LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
export HF_CACHE_DIR="./data"
export MODEL_CACHE="./data"
@@ -42,7 +42,7 @@ export CRAG_SERVER=http://${ip_address}:${CRAG_SERVER_PORT}
export WORKER_AGENT_URL="http://${ip_address}:${WORKER_RAG_AGENT_PORT}/v1/chat/completions"
export SQL_AGENT_URL="http://${ip_address}:${WORKER_SQL_AGENT_PORT}/v1/chat/completions"
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -33,7 +33,7 @@ fi
# retriever
export host_ip=$(hostname -I | awk '{print $1}')
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -16,7 +16,7 @@ services:
with_memory: false
recursion_limit: ${recursion_limit_worker}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -50,7 +50,7 @@ services:
use_hints: false
recursion_limit: ${recursion_limit_worker}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -79,7 +79,7 @@ services:
with_memory: true
recursion_limit: ${recursion_limit_supervisor}
llm_engine: vllm
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
llm_endpoint_url: ${LLM_ENDPOINT_URL}
model: ${LLM_MODEL_ID}
temperature: ${temperature}
@@ -122,7 +122,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
LLM_MODEL_ID: ${LLM_MODEL_ID}

View File

@@ -16,8 +16,8 @@ export ip_address=$(hostname -I | awk '{print $1}')
# LLM related environment variables
export HF_CACHE_DIR=${HF_CACHE_DIR}
ls $HF_CACHE_DIR
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HF_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export LLM_MODEL_ID="meta-llama/Llama-3.3-70B-Instruct"
export NUM_SHARDS=4
export LLM_ENDPOINT_URL="http://${ip_address}:8086"

View File

@@ -13,7 +13,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -3,7 +3,7 @@
host_ip=$(hostname -I | awk '{print $1}')
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -20,7 +20,7 @@ function start_retrieval_tool() {
cd $WORKPATH/../DocIndexRetriever/docker_compose/intel/cpu/xeon
host_ip=$(hostname -I | awk '{print $1}')
export HF_CACHE_DIR=${HF_CACHE_DIR}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export no_proxy=${no_proxy}
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}

View File

@@ -11,8 +11,8 @@ export ip_address=$(hostname -I | awk '{print $1}')
export host_ip=$ip_address
echo "ip_address=${ip_address}"
export TOOLSET_PATH=$WORKPATH/tools/
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
HF_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
model="meta-llama/Llama-3.3-70B-Instruct" #"meta-llama/Meta-Llama-3.1-70B-Instruct"
export HF_CACHE_DIR=${model_cache:-"/data2/huggingface"}

View File

@@ -7,7 +7,7 @@ WORKPATH=$(dirname "$PWD")
export WORKDIR=$WORKPATH/../../
echo "WORKDIR=${WORKDIR}"
export ip_address=$(hostname -I | awk '{print $1}')
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export TOOLSET_PATH=$WORKDIR/GenAIExamples/AgentQnA/tools/
export no_proxy="$no_proxy,rag-agent-endpoint,sql-agent-endpoint,react-agent-endpoint,agent-ui,vllm-gaudi-server,jaeger,grafana,prometheus,127.0.0.1,localhost,0.0.0.0,$ip_address"
IMAGE_REPO=${IMAGE_REPO:-"opea"}

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@@ -9,7 +9,7 @@ ls $WORKPATH
export WORKDIR=$WORKPATH/../../
echo "WORKDIR=${WORKDIR}"
export ip_address=$(hostname -I | awk '{print $1}')
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export TOOLSET_PATH=$WORKPATH/tools/
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}

View File

@@ -8,7 +8,7 @@ WORKPATH=$(dirname "$PWD")
export WORKDIR=${WORKPATH}/../../
echo "WORKDIR=${WORKDIR}"
export ip_address=$(hostname -I | awk '{print $1}')
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export TOOLSET_PATH=$WORKPATH/tools/
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}

View File

@@ -40,7 +40,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
command: --model-id ${LLM_MODEL_ID}

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@@ -35,8 +35,8 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
WILM_USE_TRITON_FLASH_ATTENTION: 0

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@@ -7,7 +7,7 @@
# export host_ip=<your External Public IP> # export host_ip=$(hostname -I | awk '{print $1}')
export host_ip=${ip_address}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
# <token>
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3

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@@ -8,7 +8,7 @@
export host_ip=${ip_address}
export external_host_ip=${ip_address}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export HF_CACHE_DIR="./data"
export LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
export VLLM_SERVICE_PORT="8081"

View File

@@ -36,7 +36,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
LLM_SERVER_PORT: ${LLM_SERVER_PORT}

View File

@@ -40,7 +40,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
LLM_SERVER_PORT: ${LLM_SERVER_PORT}

View File

@@ -36,7 +36,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_SERVER_PORT: ${LLM_SERVER_PORT}
healthcheck:
test: ["CMD-SHELL", "curl -f http://$host_ip:${LLM_SERVER_PORT}/health || exit 1"]

View File

@@ -5,7 +5,7 @@
# export host_ip=<your External Public IP>
export host_ip=$(hostname -I | awk '{print $1}')
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
# <token>
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"

View File

@@ -45,7 +45,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -45,7 +45,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -5,7 +5,7 @@
# export host_ip=<your External Public IP>
export host_ip=$(hostname -I | awk '{print $1}')
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
# <token>
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"

View File

@@ -27,7 +27,7 @@ function build_docker_images() {
git clone https://github.com/vllm-project/vllm.git
cd ./vllm/
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null && cd ../

View File

@@ -27,7 +27,7 @@ function build_docker_images() {
git clone https://github.com/vllm-project/vllm.git
cd ./vllm/
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null && cd ../

View File

@@ -68,7 +68,7 @@ Then run the command `docker images`, you will have following images ready:
Before starting the services with `docker compose`, you have to recheck the following environment variables.
```bash
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export host_ip=$(hostname -I | awk '{print $1}')
export TGI_SERVICE_PORT=3006

View File

@@ -52,8 +52,8 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
shm_size: 1g
devices:
- /dev/kfd:/dev/kfd

View File

@@ -3,7 +3,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export OPENAI_API_KEY=${OPENAI_API_KEY}
export host_ip=$(hostname -I | awk '{print $1}')
@@ -41,7 +41,7 @@ export FACE="/home/user/comps/animation/src/assets/img/avatar5.png"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="./outputs/result.mp4"
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=5
export FPS=10

View File

@@ -37,7 +37,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://${host_ip}:3006/health || exit 1"]
interval: 10s

View File

@@ -5,32 +5,3 @@
pushd "../../../../../" > /dev/null
source .set_env.sh
popd > /dev/null
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export host_ip=$(hostname -I | awk '{print $1}')
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
export WAV2LIP_ENDPOINT=http://$host_ip:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export LLM_SERVER_HOST_IP=${host_ip}
export LLM_SERVER_PORT=3006
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_PORT=3008
export MEGA_SERVICE_PORT=8888
export DEVICE="cpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.11/site-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar5.png"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=10

View File

@@ -48,7 +48,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -5,35 +5,3 @@
pushd "../../../../../" > /dev/null
source .set_env.sh
popd > /dev/null
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export host_ip=$(hostname -I | awk '{print $1}')
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
export WAV2LIP_ENDPOINT=http://$host_ip:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export LLM_SERVER_HOST_IP=${host_ip}
export LLM_SERVER_PORT=3006
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_PORT=3008
export MEGA_SERVICE_PORT=8888
export DEVICE="hpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.10/dist-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar1.jpg"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=10

View File

@@ -1,27 +0,0 @@
# AvatarChatbot E2E test scripts
## Set the required environment variable
```bash
export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
```
## Run test
On Intel Xeon with TGI:
```bash
bash test_compose_on_xeon.sh
```
On Intel Gaudi with TGI:
```bash
bash test_compose_on_gaudi.sh
```
On AMD ROCm with TGI:
```bash
bash test_compose_on_rocm.sh
```

View File

@@ -45,7 +45,37 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
source set_env.sh
export HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN
export host_ip=$(hostname -I | awk '{print $1}')
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
export WAV2LIP_ENDPOINT=http://$host_ip:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export LLM_SERVER_HOST_IP=${host_ip}
export LLM_SERVER_PORT=3006
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_PORT=3008
export MEGA_SERVICE_PORT=8888
export DEVICE="hpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.10/dist-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar1.jpg"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=10
# Start Docker Containers
docker compose up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -42,8 +42,48 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/amd/gpu/rocm
export HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN
export OPENAI_API_KEY=$OPENAI_API_KEY
source set_env.sh
export host_ip=${ip_address}
export TGI_SERVICE_PORT=3006
export TGI_LLM_ENDPOINT=http://${host_ip}:${TGI_SERVICE_PORT}
export LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
export ASR_ENDPOINT=http://${host_ip}:7066
export TTS_ENDPOINT=http://${host_ip}:7055
export WAV2LIP_ENDPOINT=http://${host_ip}:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export ASR_SERVICE_HOST_IP=${host_ip}
export TTS_SERVICE_HOST_IP=${host_ip}
export LLM_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export MEGA_SERVICE_PORT=8888
export ASR_SERVICE_PORT=3001
export TTS_SERVICE_PORT=3002
export LLM_SERVICE_PORT=3006
export ANIMATION_SERVICE_PORT=3008
export DEVICE="cpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.11/site-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar5.png"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="./outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=5
# Start Docker Containers
docker compose up -d --force-recreate

View File

@@ -45,7 +45,37 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
source set_env.sh
export HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN
export host_ip=$(hostname -I | awk '{print $1}')
export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
export WAV2LIP_ENDPOINT=http://$host_ip:7860
export MEGA_SERVICE_HOST_IP=${host_ip}
export WHISPER_SERVER_HOST_IP=${host_ip}
export WHISPER_SERVER_PORT=7066
export SPEECHT5_SERVER_HOST_IP=${host_ip}
export SPEECHT5_SERVER_PORT=7055
export LLM_SERVER_HOST_IP=${host_ip}
export LLM_SERVER_PORT=3006
export ANIMATION_SERVICE_HOST_IP=${host_ip}
export ANIMATION_SERVICE_PORT=3008
export MEGA_SERVICE_PORT=8888
export DEVICE="cpu"
export WAV2LIP_PORT=7860
export INFERENCE_MODE='wav2lip+gfpgan'
export CHECKPOINT_PATH='/usr/local/lib/python3.11/site-packages/Wav2Lip/checkpoints/wav2lip_gan.pth'
export FACE="/home/user/comps/animation/src/assets/img/avatar5.png"
# export AUDIO='assets/audio/eg3_ref.wav' # audio file path is optional, will use base64str in the post request as input if is 'None'
export AUDIO='None'
export FACESIZE=96
export OUTFILE="/outputs/result.mp4"
export GFPGAN_MODEL_VERSION=1.4 # latest version, can roll back to v1.3 if needed
export UPSCALE_FACTOR=1
export FPS=10
# Start Docker Containers
docker compose up -d

View File

@@ -16,7 +16,7 @@ services:
- chatqna-redis-vector-db
- chatqna-tei-embedding-service
ports:
- "${CHATQNA_REDIS_DATAPREP_PORT:-18103}:5000"
- "${CHATQNA_REDIS_DATAPREP_PORT}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

View File

@@ -16,7 +16,7 @@ services:
- chatqna-redis-vector-db
- chatqna-tei-embedding-service
ports:
- "${CHATQNA_REDIS_DATAPREP_PORT:-18103}:5000"
- "${CHATQNA_REDIS_DATAPREP_PORT}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

View File

@@ -16,7 +16,7 @@ services:
- chatqna-redis-vector-db
- chatqna-tei-embedding-service
ports:
- "${CHATQNA_REDIS_DATAPREP_PORT:-18103}:5000"
- "${CHATQNA_REDIS_DATAPREP_PORT}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

View File

@@ -16,7 +16,7 @@ services:
- chatqna-redis-vector-db
- chatqna-tei-embedding-service
ports:
- "${CHATQNA_REDIS_DATAPREP_PORT:-18103}:5000"
- "${CHATQNA_REDIS_DATAPREP_PORT:-5000}:5000"
environment:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}

View File

@@ -2,17 +2,17 @@
# Copyright (C) 2025 Advanced Micro Devices, Inc.
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export HOST_IP=''
export HOST_IP_EXTERNAL=''
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_NGINX_PORT=80
export CHATQNA_BACKEND_SERVICE_PORT=18102
export CHATQNA_FRONTEND_SERVICE_PORT=18101
export CHATQNA_NGINX_PORT=18104
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001

View File

@@ -2,18 +2,18 @@
# Copyright (C) 2025 Advanced Micro Devices, Inc.
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export HOST_IP=''
export HOST_IP_EXTERNAL=''
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_BACKEND_SERVICE_PORT=18102
export CHATQNA_FRONTEND_SERVICE_PORT=18101
export CHATQNA_LLM_FAQGEN_PORT=18011
export CHATQNA_NGINX_PORT=80
export CHATQNA_NGINX_PORT=18104
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001

View File

@@ -2,18 +2,18 @@
# Copyright (C) 2025 Advanced Micro Devices, Inc.
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export HOST_IP=''
export HOST_IP_EXTERNAL=''
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_BACKEND_SERVICE_PORT=18102
export CHATQNA_FRONTEND_SERVICE_PORT=18101
export CHATQNA_LLM_FAQGEN_PORT=18011
export CHATQNA_NGINX_PORT=80
export CHATQNA_NGINX_PORT=18104
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001

View File

@@ -2,17 +2,17 @@
# Copyright (C) 2025 Advanced Micro Devices, Inc.
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export HOST_IP=''
export HOST_IP_EXTERNAL=''
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_NGINX_PORT=80
export CHATQNA_BACKEND_SERVICE_PORT=18102
export CHATQNA_FRONTEND_SERVICE_PORT=18101
export CHATQNA_NGINX_PORT=18104
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001

View File

@@ -183,7 +183,7 @@ export https_proxy=${your_http_proxy}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export OLLAMA_HOST=${host_ip}
export OLLAMA_MODEL="llama3.2"
```
@@ -194,7 +194,7 @@ export OLLAMA_MODEL="llama3.2"
set EMBEDDING_MODEL_ID=BAAI/bge-base-en-v1.5
set RERANK_MODEL_ID=BAAI/bge-reranker-base
set INDEX_NAME=rag-redis
set HUGGINGFACEHUB_API_TOKEN=%HF_TOKEN%
set HUGGINGFACEHUB_API_TOKEN=%HUGGINGFACEHUB_API_TOKEN%
set OLLAMA_HOST=host.docker.internal
set OLLAMA_MODEL="llama3.2"
```

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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

View File

@@ -9,7 +9,7 @@ popd > /dev/null
export host_ip=$(hostname -I | awk '{print $1}')
if [ -z "${HF_TOKEN}" ]; then
if [ -z "${HUGGINGFACEHUB_API_TOKEN}" ]; then
echo "Error: HUGGINGFACEHUB_API_TOKEN is not set. Please set HUGGINGFACEHUB_API_TOKEN."
fi
@@ -17,7 +17,7 @@ if [ -z "${host_ip}" ]; then
echo "Error: host_ip is not set. Please set host_ip first."
fi
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export INDEX_NAME="rag-redis"

View File

@@ -31,7 +31,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -67,7 +67,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -83,7 +83,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -99,7 +99,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
VLLM_CPU_KVCACHE_SPACE: 40

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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

View File

@@ -35,7 +35,7 @@ services:
DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_MARIADBVECTOR"
MARIADB_CONNECTION_URL: mariadb+mariadbconnector://${MARIADB_USER}:${MARIADB_PASSWORD}@mariadb-server:3306/${MARIADB_DATABASE}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -69,7 +69,7 @@ services:
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
MARIADB_CONNECTION_URL: mariadb+mariadbconnector://${MARIADB_USER}:${MARIADB_PASSWORD}@mariadb-server:3306/${MARIADB_DATABASE}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_MARIADBVECTOR"
restart: unless-stopped
@@ -85,7 +85,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -101,7 +101,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
VLLM_CPU_KVCACHE_SPACE: 40

View File

@@ -75,7 +75,7 @@ services:
MILVUS_HOST: ${host_ip}
MILVUS_PORT: 19530
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
LOGFLAG: ${LOGFLAG}
healthcheck:
@@ -107,7 +107,7 @@ services:
MILVUS_HOST: ${host_ip}
MILVUS_PORT: 19530
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_MILVUS"
restart: unless-stopped
@@ -138,7 +138,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -155,7 +155,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
healthcheck:

View File

@@ -20,7 +20,7 @@ services:
PINECONE_INDEX_NAME: ${PINECONE_INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_PINECONE"
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
@@ -55,7 +55,7 @@ services:
PINECONE_INDEX_NAME: ${PINECONE_INDEX_NAME}
LANGCHAIN_API_KEY: ${LANGCHAIN_API_KEY}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_PINECONE"
restart: unless-stopped
@@ -71,7 +71,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -87,7 +87,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
command: --model $LLM_MODEL_ID --host 0.0.0.0 --port 80

View File

@@ -24,7 +24,7 @@ services:
QDRANT_PORT: 6333
QDRANT_INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
DATAPREP_COMPONENT_NAME: "OPEA_DATAPREP_QDRANT"
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -92,7 +92,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
command: --model $LLM_MODEL_ID --host 0.0.0.0 --port 80

View File

@@ -31,7 +31,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
tei-embedding-service:
image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
container_name: tei-embedding-server
@@ -61,7 +61,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -77,7 +77,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -92,7 +92,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
command: --model-id ${LLM_MODEL_ID} --cuda-graphs 0

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LLM_MODEL_ID: ${LLM_MODEL_ID}
VLLM_TORCH_PROFILER_DIR: "/mnt"
command: --model $LLM_MODEL_ID --host 0.0.0.0 --port 80

View File

@@ -1,8 +1,6 @@
# Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
if ls *.json 1> /dev/null 2>&1; then
rm *.json
fi
rm *.json
wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/chatqna_megaservice_grafana.json
wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/qdrant_grafana.json
wget https://raw.githubusercontent.com/opea-project/GenAIEval/refs/heads/main/evals/benchmark/grafana/milvus_grafana.json

View File

@@ -7,9 +7,6 @@ pushd "../../../../../" > /dev/null
source .set_env.sh
popd > /dev/null
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HF_TOKEN=${HF_TOKEN}
export host_ip=${ip_address}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"

View File

@@ -7,7 +7,7 @@ pushd "../../../../../" > /dev/null
source .set_env.sh
popd > /dev/null
if [ -z "${HF_TOKEN}" ]; then
if [ -z "${HUGGINGFACEHUB_API_TOKEN}" ]; then
echo "Error: HUGGINGFACEHUB_API_TOKEN is not set. Please set HUGGINGFACEHUB_API_TOKEN."
fi
@@ -15,7 +15,7 @@ export host_ip=$(hostname -I | awk '{print $1}')
export MARIADB_DATABASE="vectordb"
export MARIADB_USER="chatqna"
export MARIADB_PASSWORD="password"
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"

View File

@@ -43,7 +43,7 @@ Some HuggingFace resources, such as some models, are only accessible if you have
### Configure the Deployment Environment
To set up environment variables for deploying ChatQnA services, source the _setup_env.sh_ script in this directory (If using faqgen or guardrails, source the _set_env_faqgen.sh_):
To set up environment variables for deploying ChatQnA services, source the _setup_env.sh_ script in this directory:
```
source ./set_env.sh

View File

@@ -31,7 +31,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -67,7 +67,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
restart: unless-stopped
tei-reranking-service:
image: ghcr.io/huggingface/tei-gaudi:1.5.0
@@ -101,7 +101,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
LLM_MODEL_ID: ${LLM_MODEL_ID}

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
@@ -61,7 +61,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
restart: unless-stopped
tei-reranking-service:
image: ghcr.io/huggingface/tei-gaudi:1.5.0

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
@@ -61,7 +61,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
restart: unless-stopped
tei-reranking-service:
image: ghcr.io/huggingface/tei-gaudi:1.5.0
@@ -95,7 +95,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -42,7 +42,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
GURADRAILS_MODEL_ID: ${GURADRAILS_MODEL_ID}
@@ -73,7 +73,7 @@ services:
https_proxy: ${https_proxy}
SAFETY_GUARD_MODEL_ID: ${GURADRAILS_MODEL_ID}
SAFETY_GUARD_ENDPOINT: http://vllm-guardrails-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
restart: unless-stopped
tei-embedding-service:
image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
@@ -104,7 +104,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -140,7 +140,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
LLM_MODEL_ID: ${LLM_MODEL_ID}

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -96,7 +96,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
HABANA_VISIBLE_DEVICES: all

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -60,7 +60,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
LOGFLAG: ${LOGFLAG}
RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
restart: unless-stopped
@@ -75,7 +75,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
LLM_MODEL_ID: ${LLM_MODEL_ID}

View File

@@ -123,7 +123,7 @@ View the docker input parameters in `./ChatQnA/docker_compose/intel/hpu/gaudi/co
environment:
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN}
HUGGING_FACE_HUB_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HABANA_VISIBLE_DEVICES: all
OMPI_MCA_btl_vader_single_copy_mechanism: none
ENABLE_HPU_GRAPH: true

View File

@@ -4,20 +4,12 @@
# SPDX-License-Identifier: Apache-2.0
# Function to prompt for input and set environment variables
NON_INTERACTIVE=${NON_INTERACTIVE:-false}
prompt_for_env_var() {
local var_name="$1"
local prompt_message="$2"
local default_value="$3"
local mandatory="$4"
if [[ "$NON_INTERACTIVE" == "true" ]]; then
echo "Non-interactive environment detected. Setting $var_name to default: $default_value"
export "$var_name"="$default_value"
return
fi
if [[ "$mandatory" == "true" ]]; then
while [[ -z "$value" ]]; do
read -p "$prompt_message [default: \"${default_value}\"]: " value
@@ -42,7 +34,7 @@ popd > /dev/null
# Prompt the user for each required environment variable
prompt_for_env_var "EMBEDDING_MODEL_ID" "Enter the EMBEDDING_MODEL_ID" "BAAI/bge-base-en-v1.5" false
prompt_for_env_var "HUGGINGFACEHUB_API_TOKEN" "Enter the HUGGINGFACEHUB_API_TOKEN" "${HF_TOKEN}" true
prompt_for_env_var "HUGGINGFACEHUB_API_TOKEN" "Enter the HUGGINGFACEHUB_API_TOKEN" "" true
prompt_for_env_var "RERANK_MODEL_ID" "Enter the RERANK_MODEL_ID" "BAAI/bge-reranker-base" false
prompt_for_env_var "LLM_MODEL_ID" "Enter the LLM_MODEL_ID" "meta-llama/Meta-Llama-3-8B-Instruct" false
prompt_for_env_var "INDEX_NAME" "Enter the INDEX_NAME" "rag-redis" false
@@ -50,40 +42,34 @@ prompt_for_env_var "NUM_CARDS" "Enter the number of Gaudi devices" "1" false
prompt_for_env_var "host_ip" "Enter the host_ip" "$(curl ifconfig.me)" false
#Query for enabling http_proxy
prompt_for_env_var "http_proxy" "Enter the http_proxy." "${http_proxy}" false
prompt_for_env_var "http_proxy" "Enter the http_proxy." "" false
#Query for enabling https_proxy
prompt_for_env_var "http_proxy" "Enter the http_proxy." "${https_proxy}" false
prompt_for_env_var "https_proxy" "Enter the https_proxy." "" false
#Query for enabling no_proxy
prompt_for_env_var "no_proxy" "Enter the no_proxy." "${no_proxy}" false
prompt_for_env_var "no_proxy" "Enter the no_proxy." "" false
# Query for enabling logging
if [[ "$NON_INTERACTIVE" == "true" ]]; then
# Query for enabling logging
prompt_for_env_var "LOGFLAG" "Enable logging? (yes/no): " "true" false
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
telemetry_flag=true
read -p "Enable logging? (yes/no): " logging && logging=$(echo "$logging" | tr '[:upper:]' '[:lower:]')
if [[ "$logging" == "yes" || "$logging" == "y" ]]; then
export LOGFLAG=true
else
# Query for enabling logging
read -p "Enable logging? (yes/no): " logging && logging=$(echo "$logging" | tr '[:upper:]' '[:lower:]')
if [[ "$logging" == "yes" || "$logging" == "y" ]]; then
export LOGFLAG=true
else
export LOGFLAG=false
fi
# Query for enabling OpenTelemetry Tracing Endpoint
read -p "Enable OpenTelemetry Tracing Endpoint? (yes/no): " telemetry && telemetry=$(echo "$telemetry" | tr '[:upper:]' '[:lower:]')
if [[ "$telemetry" == "yes" || "$telemetry" == "y" ]]; then
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
telemetry_flag=true
else
telemetry_flag=false
fi
export LOGFLAG=false
fi
# Query for enabling OpenTelemetry Tracing Endpoint
read -p "Enable OpenTelemetry Tracing Endpoint? (yes/no): " telemetry && telemetry=$(echo "$telemetry" | tr '[:upper:]' '[:lower:]')
if [[ "$telemetry" == "yes" || "$telemetry" == "y" ]]; then
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
telemetry_flag=true
pushd "grafana/dashboards" > /dev/null
source download_opea_dashboard.sh
popd > /dev/null
else
telemetry_flag=false
fi
# Generate the .env file
@@ -92,7 +78,7 @@ cat <<EOF > .env
# Set all required ENV values
export TAG=${TAG}
export EMBEDDING_MODEL_ID=${EMBEDDING_MODEL_ID}
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HUGGINGFACEHUB_API_TOKEN=$HUGGINGFACEHUB_API_TOKEN
export RERANK_MODEL_ID=${RERANK_MODEL_ID}
export LLM_MODEL_ID=${LLM_MODEL_ID}
export INDEX_NAME=${INDEX_NAME}

View File

@@ -1,32 +0,0 @@
#!/usr/bin/env bash
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
pushd "../../../../../" > /dev/null
source .set_env.sh
popd > /dev/null
export HUGGINGFACEHUB_API_TOKEN=${HF_TOKEN}
export HF_TOKEN=${HF_TOKEN}
export host_ip=${ip_address}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export NUM_CARDS=1
export VLLM_SKIP_WARMUP=true
export LOGFLAG=True
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
export no_proxy="${ip_address},redis-vector-db,dataprep-redis-service,tei-embedding-service,retriever,tei-reranking-service,tgi-service,vllm-service,guardrails,llm-faqgen,chatqna-gaudi-backend-server,chatqna-gaudi-ui-server,chatqna-gaudi-nginx-server"
export LLM_ENDPOINT_PORT=8010
export LLM_SERVER_PORT=9001
export CHATQNA_BACKEND_PORT=8888
export CHATQNA_REDIS_VECTOR_PORT=6377
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8006
export CHATQNA_FRONTEND_SERVICE_PORT=5175
export NGINX_PORT=80
export FAQGen_COMPONENT_NAME="OpeaFaqGenvLLM"
export LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"

View File

@@ -24,7 +24,7 @@ services:
REDIS_HOST: redis-vector-db
INDEX_NAME: ${INDEX_NAME}
TEI_ENDPOINT: http://tei-embedding-service:80
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
interval: 10s
@@ -76,7 +76,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HUGGINGFACEHUB_API_TOKEN: ${HF_TOKEN}
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
@@ -98,7 +98,7 @@ services:
no_proxy: ${no_proxy}
http_proxy: ${http_proxy}
https_proxy: ${https_proxy}
HF_TOKEN: ${HF_TOKEN}
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
HF_HUB_DISABLE_PROGRESS_BARS: 1
HF_HUB_ENABLE_HF_TRANSFER: 0
ipc: host

View File

@@ -1,123 +0,0 @@
# ChatQnA E2E test scripts
## Set the required environment variable
```bash
export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
```
## Run test
On Intel Xeon with TGI:
```bash
bash test_compose_tgi_on_xeon.sh
```
On Intel Xeon with vLLM:
```bash
bash test_compose_on_xeon.sh
```
On Intel Xeon with MariaDB Vector:
```bash
bash test_compose_mariadb_on_xeon.sh
```
On Intel Xeon with Pinecone:
```bash
bash test_compose_pinecone_on_xeon.sh
```
On Intel Xeon with Milvus
```bash
bash test_compose_milvus_on_xeon.sh
```
On Intel Xeon with Qdrant
```bash
bash test_compose_qdrant_on_xeon.sh
```
On Intel Xeon without Rerank:
```bash
bash test_compose_without_rerank_on_xeon.sh
```
On Intel Gaudi with TGI:
```bash
bash test_compose_tgi_on_gaudi.sh
```
On Intel Gaudi with vLLM:
```bash
bash test_compose_on_gaudi.sh
```
On Intel Gaudi with Guardrails:
```bash
bash test_compose_guardrails_on_gaudi.sh
```
On Intel Gaudi without Rerank:
```bash
bash test_compose_without_rerank_on_gaudi.sh
```
On AMD ROCm with TGI:
```bash
bash test_compose_on_rocm.sh
```
On AMD ROCm with vLLM:
```bash
bash test_compose_vllm_on_rocm.sh
```
Test FAQ Generation On Intel Xeon with TGI:
```bash
bash test_compose_faqgen_tgi_on_xeon.sh
```
Test FAQ Generation On Intel Xeon with vLLM:
```bash
bash test_compose_faqgen_on_xeon.sh
```
Test FAQ Generation On Intel Gaudi with TGI:
```bash
bash test_compose_faqgen_tgi_on_gaudi.sh
```
Test FAQ Generation On Intel Gaudi with vLLM:
```bash
bash test_compose_faqgen_on_gaudi.sh
```
Test FAQ Generation On AMD ROCm with TGI:
```bash
bash test_compose_faqgen_on_rocm.sh
```
Test FAQ Generation On AMD ROCm with vLLM:
```bash
bash test_compose_faqgen_vllm_on_rocm.sh
```

View File

@@ -36,7 +36,27 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
source set_env_faqgen.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export NUM_CARDS=1
export INDEX_NAME="rag-redis"
export host_ip=${ip_address}
export LLM_ENDPOINT_PORT=8010
export LLM_SERVER_PORT=9001
export CHATQNA_BACKEND_PORT=8888
export CHATQNA_REDIS_VECTOR_PORT=6377
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8006
export CHATQNA_FRONTEND_SERVICE_PORT=5175
export NGINX_PORT=80
export FAQGen_COMPONENT_NAME="OpeaFaqGenvLLM"
export LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
export HF_TOKEN=${HF_TOKEN}
export VLLM_SKIP_WARMUP=true
export LOGFLAG=True
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
export no_proxy="${ip_address},redis-vector-db,dataprep-redis-service,tei-embedding-service,retriever,tei-reranking-service,tgi-service,vllm-service,guardrails,llm-faqgen,chatqna-gaudi-backend-server,chatqna-gaudi-ui-server,chatqna-gaudi-nginx-server"
# Start Docker Containers
docker compose -f compose_faqgen.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -15,7 +15,44 @@ WORKPATH=$(dirname "$PWD")
LOG_PATH="$WORKPATH/tests"
ip_address=$(hostname -I | awk '{print $1}')
source $WORKPATH/docker_compose/amd/gpu/rocm/set_env_faqgen.sh
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_LLM_FAQGEN_PORT=18011
export CHATQNA_NGINX_PORT=80
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001
export CHATQNA_REDIS_VECTOR_PORT=6379
export CHATQNA_TEI_EMBEDDING_PORT=18090
export CHATQNA_TEI_RERANKING_PORT=18808
export CHATQNA_TGI_SERVICE_PORT=18008
export CHATQNA_BACKEND_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_BACKEND_SERVICE_PORT}/v1/chatqna"
export CHATQNA_BACKEND_SERVICE_IP=${HOST_IP}
export CHATQNA_DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/delete"
export CHATQNA_DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/get"
export CHATQNA_DATAPREP_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/ingest"
export CHATQNA_EMBEDDING_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_FRONTEND_SERVICE_IP=${HOST_IP}
export CHATQNA_LLM_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_LLM_ENDPOINT="http://${HOST_IP}:${CHATQNA_TGI_SERVICE_PORT}"
export CHATQNA_MEGA_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_REDIS_URL="redis://${HOST_IP}:${CHATQNA_REDIS_VECTOR_PORT}"
export CHATQNA_RERANK_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_RETRIEVER_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_TEI_EMBEDDING_ENDPOINT="http://${HOST_IP}:${CHATQNA_TEI_EMBEDDING_PORT}"
export CHATQNA_BACKEND_SERVICE_NAME=chatqna
export CHATQNA_INDEX_NAME="rag-redis"
export FAQGen_COMPONENT_NAME="OpeaFaqGenTgi"
export PATH="~/miniconda3/bin:$PATH"

View File

@@ -24,7 +24,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null && cd ../
@@ -37,16 +37,26 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export host_ip=${ip_address}
export LLM_ENDPOINT_PORT=8010
export LLM_SERVER_PORT=9001
export CHATQNA_BACKEND_PORT=8888
export CHATQNA_REDIS_VECTOR_PORT=6377
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8006
export CHATQNA_FRONTEND_SERVICE_PORT=5175
export NGINX_PORT=80
export FAQGen_COMPONENT_NAME="OpeaFaqGenvLLM"
export LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
export HF_TOKEN=${HF_TOKEN}
export VLLM_SKIP_WARMUP=true
export LOGFLAG=True
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
export no_proxy="${ip_address},redis-vector-db,dataprep-redis-service,tei-embedding-service,retriever,tei-reranking-service,tgi-service,vllm-service,guardrails,llm-faqgen,chatqna-xeon-backend-server,chatqna-xeon-ui-server,chatqna-xeon-nginx-server"
source set_env.sh
# Start Docker Containers
docker compose -f compose_faqgen.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -33,8 +33,25 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export host_ip=${ip_address}
export LLM_ENDPOINT_PORT=8010
export LLM_SERVER_PORT=9001
export CHATQNA_BACKEND_PORT=8888
export CHATQNA_REDIS_VECTOR_PORT=6377
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8006
export CHATQNA_FRONTEND_SERVICE_PORT=5175
export NGINX_PORT=80
export FAQGen_COMPONENT_NAME="OpeaFaqGenTgi"
source set_env_faqgen.sh
export LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
export HF_TOKEN=${HF_TOKEN}
export LOGFLAG=True
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
export no_proxy="${ip_address},redis-vector-db,dataprep-redis-service,tei-embedding-service,retriever,tei-reranking-service,tgi-service,vllm-service,guardrails,llm-faqgen,chatqna-gaudi-backend-server,chatqna-gaudi-ui-server,chatqna-gaudi-nginx-server"
# Start Docker Containers
docker compose -f compose_faqgen_tgi.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -24,7 +24,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null && cd ../
@@ -37,16 +37,25 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export host_ip=${ip_address}
export LLM_ENDPOINT_PORT=8010
export LLM_SERVER_PORT=9001
export CHATQNA_BACKEND_PORT=8888
export CHATQNA_REDIS_VECTOR_PORT=6377
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8006
export CHATQNA_FRONTEND_SERVICE_PORT=5175
export NGINX_PORT=80
export FAQGen_COMPONENT_NAME="OpeaFaqGenTgi"
export LLM_ENDPOINT="http://${host_ip}:${LLM_ENDPOINT_PORT}"
export HF_TOKEN=${HF_TOKEN}
export LOGFLAG=True
export http_proxy=${http_proxy}
export https_proxy=${https_proxy}
export no_proxy="${ip_address},redis-vector-db,dataprep-redis-service,tei-embedding-service,retriever,tei-reranking-service,tgi-service,vllm-service,guardrails,llm-faqgen,chatqna-xeon-backend-server,chatqna-xeon-ui-server,chatqna-xeon-nginx-server"
source set_env.sh
# Start Docker Containers
docker compose -f compose_faqgen_tgi.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -14,7 +14,41 @@ WORKPATH=$(dirname "$PWD")
LOG_PATH="$WORKPATH/tests"
ip_address=$(hostname -I | awk '{print $1}')
source $WORKPATH/docker_compose/amd/gpu/rocm/set_env_faqgen_vllm.sh
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_LLM_FAQGEN_PORT=18011
export CHATQNA_NGINX_PORT=80
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001
export CHATQNA_REDIS_VECTOR_PORT=6379
export CHATQNA_TEI_EMBEDDING_PORT=18090
export CHATQNA_TEI_RERANKING_PORT=18808
export CHATQNA_VLLM_SERVICE_PORT=18008
export CHATQNA_BACKEND_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_BACKEND_SERVICE_PORT}/v1/chatqna"
export CHATQNA_BACKEND_SERVICE_IP=${HOST_IP_EXTERNAL}
export CHATQNA_DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/delete"
export CHATQNA_DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/get"
export CHATQNA_DATAPREP_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/ingest"
export CHATQNA_FRONTEND_SERVICE_IP=${HOST_IP}
export CHATQNA_MEGA_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_REDIS_URL="redis://${HOST_IP}:${CHATQNA_REDIS_VECTOR_PORT}"
export CHATQNA_TEI_EMBEDDING_ENDPOINT="http://${HOST_IP}:${CHATQNA_TEI_EMBEDDING_PORT}"
export LLM_ENDPOINT="http://${HOST_IP}:${CHATQNA_VLLM_SERVICE_PORT}"
export CHATQNA_BACKEND_SERVICE_NAME=chatqna
export CHATQNA_INDEX_NAME="rag-redis"
export CHATQNA_TYPE="CHATQNA_FAQGEN"
export FAQGen_COMPONENT_NAME="OpeaFaqGenvLLM"
function build_docker_images() {
opea_branch=${opea_branch:-"main"}

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -36,8 +36,14 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export NUM_CARDS=1
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export host_ip=${ip_address}
export GURADRAILS_MODEL_ID="meta-llama/Meta-Llama-Guard-2-8B"
source set_env_faqgen.sh
# Start Docker Containers
docker compose -f compose_guardrails.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2025 MariaDB Foundation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -24,7 +24,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# make sure NOT change the pwd
@@ -39,8 +39,14 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
export MARIADB_DATABASE="vectordb"
export MARIADB_USER="chatqna"
export MARIADB_PASSWORD="test"
source set_env_mariadb.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export host_ip=${ip_address}
# Start Docker Containers
docker compose -f compose_mariadb.yaml up -d > ${LOG_PATH}/start_services_with_compose.log
@@ -134,7 +140,7 @@ function validate_megaservice() {
function stop_docker() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
docker compose -f compose_mariadb.yaml down
docker compose down
}
function main() {

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -25,7 +25,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# make sure NOT change the pwd
@@ -39,8 +39,11 @@ function build_docker_images() {
}
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon/
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export LOGFLAG=true
source set_env.sh
# Start Docker Containers
docker compose -f compose_milvus.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -36,10 +36,16 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export NON_INTERACTIVE=true
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export NUM_CARDS=1
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export host_ip=${ip_address}
export telemetry=yes
source set_env.sh
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
# Start Docker Containers
docker compose -f compose.yaml -f compose.telemetry.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -15,7 +15,41 @@ WORKPATH=$(dirname "$PWD")
LOG_PATH="$WORKPATH/tests"
ip_address=$(hostname -I | awk '{print $1}')
source $WORKPATH/docker_compose/amd/gpu/rocm/set_env.sh
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_NGINX_PORT=80
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001
export CHATQNA_REDIS_VECTOR_PORT=6379
export CHATQNA_TEI_EMBEDDING_PORT=18090
export CHATQNA_TEI_RERANKING_PORT=18808
export CHATQNA_TGI_SERVICE_PORT=18008
export CHATQNA_BACKEND_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_BACKEND_SERVICE_PORT}/v1/chatqna"
export CHATQNA_BACKEND_SERVICE_IP=${HOST_IP}
export CHATQNA_DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/delete"
export CHATQNA_DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/get"
export CHATQNA_DATAPREP_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/ingest"
export CHATQNA_EMBEDDING_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_FRONTEND_SERVICE_IP=${HOST_IP}
export CHATQNA_LLM_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_MEGA_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_REDIS_URL="redis://${HOST_IP}:${CHATQNA_REDIS_VECTOR_PORT}"
export CHATQNA_RERANK_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_RETRIEVER_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_TEI_EMBEDDING_ENDPOINT="http://${HOST_IP}:${CHATQNA_TEI_EMBEDDING_PORT}"
export CHATQNA_BACKEND_SERVICE_NAME=chatqna
export CHATQNA_INDEX_NAME="rag-redis"
export PATH="~/miniconda3/bin:$PATH"

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -24,7 +24,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# make sure NOT change the pwd
@@ -40,7 +40,15 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
source set_env.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export host_ip=${ip_address}
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
# Start Docker Containers
docker compose -f compose.yaml -f compose.telemetry.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -25,7 +25,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# Not change the pwd
@@ -41,11 +41,14 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon/
export no_proxy=${no_proxy},${ip_address}
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export PINECONE_API_KEY=${PINECONE_KEY_LANGCHAIN_TEST}
export PINECONE_INDEX_NAME="langchain-test"
export INDEX_NAME="langchain-test"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export LOGFLAG=true
source set_env.sh
# Start Docker Containers
docker compose -f compose_pinecone.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -24,7 +24,7 @@ function build_docker_images() {
docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# Not change the pwd
@@ -40,8 +40,11 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-qdrant"
source set_env.sh
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
sed -i "s/backend_address/$ip_address/g" $WORKPATH/ui/svelte/.env

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -32,10 +32,15 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export NON_INTERACTIVE=true
export host_ip=${ip_address}
export telemetry=yes
source set_env.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export NUM_CARDS=1
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
# Start Docker Containers
docker compose -f compose_tgi.yaml -f compose_tgi.telemetry.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -33,7 +33,14 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
source set_env.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export RERANK_MODEL_ID="BAAI/bge-reranker-base"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export JAEGER_IP=$(ip route get 8.8.8.8 | grep -oP 'src \K[^ ]+')
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://$JAEGER_IP:4317
export TELEMETRY_ENDPOINT=http://$JAEGER_IP:4318/v1/traces
# Start Docker Containers
docker compose -f compose_tgi.yaml -f compose_tgi.telemetry.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -14,7 +14,42 @@ WORKPATH=$(dirname "$PWD")
LOG_PATH="$WORKPATH/tests"
ip_address=$(hostname -I | awk '{print $1}')
source $WORKPATH/docker_compose/amd/gpu/rocm/set_env_vllm.sh
export HOST_IP=${ip_address}
export HOST_IP_EXTERNAL=${ip_address}
export CHATQNA_EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export CHATQNA_HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
export CHATQNA_LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export CHATQNA_RERANK_MODEL_ID="BAAI/bge-reranker-base"
export CHATQNA_BACKEND_SERVICE_PORT=8888
export CHATQNA_FRONTEND_SERVICE_PORT=5173
export CHATQNA_NGINX_PORT=80
export CHATQNA_REDIS_DATAPREP_PORT=18103
export CHATQNA_REDIS_RETRIEVER_PORT=7000
export CHATQNA_REDIS_VECTOR_INSIGHT_PORT=8001
export CHATQNA_REDIS_VECTOR_PORT=6379
export CHATQNA_TEI_EMBEDDING_PORT=18090
export CHATQNA_TEI_RERANKING_PORT=18808
export CHATQNA_VLLM_SERVICE_PORT=18008
export CHATQNA_BACKEND_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_BACKEND_SERVICE_PORT}/v1/chatqna"
export CHATQNA_BACKEND_SERVICE_IP=${HOST_IP_EXTERNAL}
export CHATQNA_DATAPREP_DELETE_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/delete"
export CHATQNA_DATAPREP_GET_FILE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/get"
export CHATQNA_DATAPREP_SERVICE_ENDPOINT="http://${HOST_IP_EXTERNAL}:${CHATQNA_REDIS_DATAPREP_PORT}/v1/dataprep/ingest"
export CHATQNA_EMBEDDING_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_FRONTEND_SERVICE_IP=${HOST_IP}
export CHATQNA_LLM_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_MEGA_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_REDIS_URL="redis://${HOST_IP}:${CHATQNA_REDIS_VECTOR_PORT}"
export CHATQNA_RERANK_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_RETRIEVER_SERVICE_HOST_IP=${HOST_IP}
export CHATQNA_TEI_EMBEDDING_ENDPOINT="http://${HOST_IP}:${CHATQNA_TEI_EMBEDDING_PORT}"
export CHATQNA_BACKEND_SERVICE_NAME=chatqna
export CHATQNA_INDEX_NAME="rag-redis"
function build_docker_images() {
opea_branch=${opea_branch:-"main"}

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -36,8 +36,11 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/hpu/gaudi
export NON_INTERACTIVE=true
source set_env.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export NUM_CARDS=1
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
# Start Docker Containers
docker compose -f compose_without_rerank.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -2,7 +2,7 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
set -xe
set -e
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
@@ -25,7 +25,7 @@ function build_docker_images() {
popd && sleep 1s
git clone https://github.com/vllm-project/vllm.git && cd vllm
VLLM_VER="v0.8.3"
VLLM_VER=v0.9.0
echo "Check out vLLM tag ${VLLM_VER}"
git checkout ${VLLM_VER} &> /dev/null
# Not change the pwd
@@ -41,7 +41,10 @@ function build_docker_images() {
function start_services() {
cd $WORKPATH/docker_compose/intel/cpu/xeon
source set_env.sh
export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
export INDEX_NAME="rag-redis"
export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
# Start Docker Containers
docker compose -f compose_without_rerank.yaml up -d > ${LOG_PATH}/start_services_with_compose.log

View File

@@ -1,9 +1,8 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
ARG IMAGE_REPO=opea
ARG BASE_TAG=latest
FROM $IMAGE_REPO/comps-base:$BASE_TAG
FROM opea/comps-base:$BASE_TAG
COPY ./codegen.py $HOME/codegen.py

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