Provide unified scalable deployment and benchmarking support for exam… (#1315 )

Signed-off-by: Cathy Zhang <cathy.zhang@intel.com> Signed-off-by: letonghan <letong.han@intel.com> Co-authored-by: letonghan <letong.han@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> (cherry picked from commit ed163087ba)
Freeze OPEA images tag
2025-01-24 22:55:38 +08:00 · 2025-01-24 08:31:22 +00:00 · 2025-01-24 15:23:12 +08:00 · 2025-01-24 09:50:59 +08:00 · 2025-01-23 14:30:09 +08:00 · 2025-01-23 10:54:39 +08:00
612 changed files with 14079 additions and 27145 deletions
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1,3 +1,4 @@
+* liang1.lv@intel.com feng.tian@intel.com suyue.chen@intel.com
 /.github/ suyue.chen@intel.com ze.pan@intel.com
 /AgentQnA/ kaokao.lv@intel.com minmin.hou@intel.com
 /AudioQnA/ sihan.chen@intel.com wenjiao.yue@intel.com
@@ -19,5 +20,4 @@
 /Text2Image/ wenjiao.yue@intel.com xinyu.ye@intel.com
 /Translation/ liang1.lv@intel.com sihan.chen@intel.com
 /VideoQnA/ huiling.bao@intel.com xinyao.wang@intel.com
-/VisualQnA/ liang1.lv@intel.com sihan.chen@intel.com
-/*/ liang1.lv@intel.com feng.tian@intel.com suyue.chen@intel.com
+/VisualQnA/ liang1.lv@intel.com sihan.chen@intel.com
--- a/.github/ISSUE_TEMPLATE/1_bug_template.yml
+++ b/.github/ISSUE_TEMPLATE/1_bug_template.yml
@@ -66,6 +66,7 @@ body:
      options:
        - label: Pull docker images from hub.docker.com
        - label: Build docker images from source
+        - label: Other
    validations:
      required: true

@@ -74,10 +75,11 @@ body:
    attributes:
      label: Deploy method
      options:
-        - label: Docker compose
        - label: Docker
-        - label: Kubernetes
-        - label: Helm
+        - label: Docker Compose
+        - label: Kubernetes Helm Charts
+        - label: Kubernetes GMC
+        - label: Other
    validations:
      required: true

@@ -88,6 +90,7 @@ body:
      options:
        - Single Node
        - Multiple Nodes
+        - Other
      default: 0
    validations:
      required: true
@@ -127,3 +130,12 @@ body:
      render: shell
    validations:
      required: false
+
+
+  - type: textarea
+    id: attachments
+    attributes:
+      label: Attachments
+      description: Attach any relevant files or screenshots.
+    validations:
+      required: false
--- a/.github/ISSUE_TEMPLATE/2_feature_template.yml
+++ b/.github/ISSUE_TEMPLATE/2_feature_template.yml
@@ -66,6 +66,7 @@ body:
      options:
        - Single Node
        - Multiple Nodes
+        - Other
      default: 0
    validations:
      required: true
--- a/.github/license_template.txt
+++ b/.github/license_template.txt
@@ -1,2 +1,2 @@
-Copyright (C) 2024 Intel Corporation
+Copyright (C) 2025 Intel Corporation
 SPDX-License-Identifier: Apache-2.0
--- a/.github/workflows/_example-workflow.yml
+++ b/.github/workflows/_example-workflow.yml
@@ -28,7 +28,7 @@ on:
        default: false
        required: false
        type: boolean
-      test_k8s:
+      test_helmchart:
        default: false
        required: false
        type: boolean
@@ -74,15 +74,15 @@ jobs:
          cd ${{ github.workspace }}/${{ inputs.example }}/docker_image_build
          docker_compose_path=${{ github.workspace }}/${{ inputs.example }}/docker_image_build/build.yaml
          if [[ $(grep -c "vllm:" ${docker_compose_path}) != 0 ]]; then
-              git clone https://github.com/vllm-project/vllm.git
+              git clone --depth 1 https://github.com/vllm-project/vllm.git
              cd vllm && git rev-parse HEAD && cd ../
          fi
          if [[ $(grep -c "vllm-gaudi:" ${docker_compose_path}) != 0 ]]; then
-               git clone https://github.com/HabanaAI/vllm-fork.git
-               cd vllm-fork && git checkout 3c39626 && cd ../
+              git clone --depth 1 --branch v0.6.4.post2+Gaudi-1.19.0 https://github.com/HabanaAI/vllm-fork.git
+              sed -i 's/triton/triton==3.1.0/g' vllm-fork/requirements-hpu.txt
          fi
-          git clone https://github.com/opea-project/GenAIComps.git
-          cd GenAIComps && git checkout ${{ inputs.opea_branch }} && git rev-parse HEAD && cd ../
+          git clone --depth 1 --branch ${{ inputs.opea_branch }} https://github.com/opea-project/GenAIComps.git
+          cd GenAIComps && git rev-parse HEAD && cd ../

      - name: Build Image
        if: ${{ fromJSON(inputs.build) }}
@@ -110,16 +110,16 @@ jobs:


 ####################################################################################################
-# K8S Test
+# helmchart Test
 ####################################################################################################
-  test-k8s-manifest:
-    needs: [build-images]
-    if: ${{ fromJSON(inputs.test_k8s) }}
-    uses: ./.github/workflows/_manifest-e2e.yml
+  test-helmchart:
+    if: ${{ fromJSON(inputs.test_helmchart) }}
+    uses: ./.github/workflows/_helm-e2e.yml
    with:
      example: ${{ inputs.example }}
      hardware: ${{ inputs.node }}
      tag: ${{ inputs.tag }}
+      mode: "CD"
    secrets: inherit

 ####################################################################################################
--- a/.github/workflows/_get-test-matrix.yml
+++ b/.github/workflows/_get-test-matrix.yml
@@ -60,9 +60,11 @@ jobs:
            base_commit=$(git rev-parse HEAD~1) # push event
          fi
          merged_commit=$(git log -1 --format='%H')
+          echo "print all changed files..."
+          git diff --name-only ${base_commit} ${merged_commit}
          changed_files="$(git diff --name-only ${base_commit} ${merged_commit} | \
          grep -vE '${{ inputs.diff_excluded_files }}')" || true
-          echo "changed_files=$changed_files"
+          echo "filtered changed_files=$changed_files"
          export changed_files=$changed_files
          export test_mode=${{ inputs.test_mode }}
          export WORKSPACE=${{ github.workspace }}
--- a/.github/workflows/_helm-e2e.yml
+++ b/.github/workflows/_helm-e2e.yml
@@ -0,0 +1,233 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+name: Helm Chart E2e Test For Call
+permissions: read-all
+on:
+  workflow_call:
+    inputs:
+      example:
+        default: "chatqna"
+        required: true
+        type: string
+        description: "example to test, chatqna or common/asr"
+      hardware:
+        default: "xeon"
+        required: true
+        type: string
+      dockerhub:
+        default: "false"
+        required: false
+        type: string
+        description: "Set to true if you want to use released docker images at dockerhub. By default using internal docker registry."
+      mode:
+        default: "CD"
+        description: "Whether the test range is CI, CD or CICD"
+        required: false
+        type: string
+      tag:
+        default: "latest"
+        required: false
+        type: string
+      version:
+        default: "0-latest"
+        required: false
+        type: string
+
+jobs:
+  get-test-case:
+    runs-on: ubuntu-latest
+    outputs:
+      value_files: ${{ steps.get-test-files.outputs.value_files }}
+      CHECKOUT_REF: ${{ steps.get-checkout-ref.outputs.CHECKOUT_REF }}
+    steps:
+      - name: Get checkout ref
+        id: get-checkout-ref
+        run: |
+          if [ "${{ github.event_name }}" == "pull_request" ] || [ "${{ github.event_name }}" == "pull_request_target" ]; then
+            CHECKOUT_REF=refs/pull/${{ github.event.number }}/merge
+          else
+            CHECKOUT_REF=${{ github.ref }}
+          fi
+          echo "CHECKOUT_REF=${CHECKOUT_REF}" >> $GITHUB_OUTPUT
+          echo "checkout ref ${CHECKOUT_REF}"
+
+      - name: Checkout Repo
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ steps.get-checkout-ref.outputs.CHECKOUT_REF }}
+          fetch-depth: 0
+
+      - name: Get test Services
+        id: get-test-files
+        run: |
+          set -x
+          if [ "${{ inputs.mode }}" = "CI" ]; then
+            base_commit=${{ github.event.pull_request.base.sha }}
+            merged_commit=$(git log -1 --format='%H')
+            values_files=$(git diff --name-only ${base_commit} ${merged_commit} | \
+            grep "${{ inputs.example }}/kubernetes/helm" | \
+            grep "values.yaml" |\
+            sort -u)
+            echo $values_files
+          elif [ "${{ inputs.mode }}" = "CD" ]; then
+            values_files=$(ls ${{ inputs.example }}/kubernetes/helm/*values.yaml || true)
+          fi
+          value_files="["
+          for file in ${values_files}; do
+            if [ -f "$file" ]; then
+              filename=$(basename "$file")
+              if [[ "$filename" == *"gaudi"* ]]; then
+                if [[ "${{ inputs.hardware }}" == "gaudi" ]]; then
+                  value_files="${value_files}\"${filename}\","
+                fi
+              elif [[ "$filename" == *"nv"* ]]; then
+                continue
+              else
+                if [[ "${{ inputs.hardware }}" == "xeon" ]]; then
+                  value_files="${value_files}\"${filename}\","
+                fi
+              fi
+            fi
+          done
+          value_files="${value_files%,}]"
+
+          echo "value_files=${value_files}"
+          echo "value_files=${value_files}" >> $GITHUB_OUTPUT
+
+  helm-test:
+    needs: [get-test-case]
+    strategy:
+      matrix:
+        value_file: ${{ fromJSON(needs.get-test-case.outputs.value_files) }}
+      fail-fast: false
+    runs-on: k8s-${{ inputs.hardware }}
+    continue-on-error: true
+    steps:
+      - name: Clean Up Working Directory
+        run: |
+          echo "value_file=${{ matrix.value_file }}"
+          sudo rm -rf ${{github.workspace}}/*
+
+      - name: Get checkout ref
+        id: get-checkout-ref
+        run: |
+          if [ "${{ github.event_name }}" == "pull_request" ] || [ "${{ github.event_name }}" == "pull_request_target" ]; then
+            CHECKOUT_REF=refs/pull/${{ github.event.number }}/merge
+          else
+            CHECKOUT_REF=${{ github.ref }}
+          fi
+          echo "CHECKOUT_REF=${CHECKOUT_REF}" >> $GITHUB_OUTPUT
+          echo "checkout ref ${CHECKOUT_REF}"
+
+      - name: Checkout Repo
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ steps.get-checkout-ref.outputs.CHECKOUT_REF }}
+          fetch-depth: 0
+
+      - name: Set variables
+        env:
+          example: ${{ inputs.example }}
+        run: |
+          CHART_NAME="${example,,}"  # CodeGen
+          echo "CHART_NAME=$CHART_NAME" >> $GITHUB_ENV
+          echo "RELEASE_NAME=${CHART_NAME}$(date +%Y%m%d%H%M%S)" >> $GITHUB_ENV
+          echo "NAMESPACE=${CHART_NAME}-$(date +%Y%m%d%H%M%S)" >> $GITHUB_ENV
+          echo "ROLLOUT_TIMEOUT_SECONDS=600s" >> $GITHUB_ENV
+          echo "TEST_TIMEOUT_SECONDS=600s" >> $GITHUB_ENV
+          echo "KUBECTL_TIMEOUT_SECONDS=60s" >> $GITHUB_ENV
+          echo "should_cleanup=false" >> $GITHUB_ENV
+          echo "skip_validate=false" >> $GITHUB_ENV
+          echo "CHART_FOLDER=${example}/kubernetes/helm" >> $GITHUB_ENV
+
+      - name: Helm install
+        id: install
+        env:
+          GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
+          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
+          HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
+          HFTOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
+          value_file: ${{ matrix.value_file }}
+        run: |
+          set -xe
+          echo "should_cleanup=true" >> $GITHUB_ENV
+          if [[ ! -f ${{ github.workspace }}/${{ env.CHART_FOLDER }}/${value_file} ]]; then
+            echo "No value file found, exiting test!"
+            echo "skip_validate=true" >> $GITHUB_ENV
+            echo "should_cleanup=false" >> $GITHUB_ENV
+            exit 0
+          fi
+
+          for img in `helm template -n $NAMESPACE $RELEASE_NAME oci://ghcr.io/opea-project/charts/${CHART_NAME} -f ${{ inputs.example }}/kubernetes/helm/${value_file} --version ${{ inputs.version }} | grep 'image:' | grep 'opea/' | awk '{print $2}' | xargs`;
+          do
+            # increase helm install wait for for vllm-gaudi case
+            if [[ $img == *"vllm-gaudi"* ]]; then
+              ROLLOUT_TIMEOUT_SECONDS=900s
+            fi
+          done
+          if ! helm install \
+            --create-namespace \
+            --namespace $NAMESPACE \
+            $RELEASE_NAME \
+            oci://ghcr.io/opea-project/charts/${CHART_NAME} \
+            --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} \
+            --set global.modelUseHostPath=/home/sdp/.cache/huggingface/hub \
+            --set GOOGLE_API_KEY=${{ env.GOOGLE_API_KEY}} \
+            --set GOOGLE_CSE_ID=${{ env.GOOGLE_CSE_ID}} \
+            --set web-retriever.GOOGLE_API_KEY=${{ env.GOOGLE_API_KEY}} \
+            --set web-retriever.GOOGLE_CSE_ID=${{ env.GOOGLE_CSE_ID}} \
+            -f ${{ inputs.example }}/kubernetes/helm/${value_file} \
+            --version ${{ inputs.version }} \
+            --wait --timeout "$ROLLOUT_TIMEOUT_SECONDS"; then
+            echo "Failed to install chart ${{ inputs.example }}"
+            echo "skip_validate=true" >> $GITHUB_ENV
+            .github/workflows/scripts/k8s-utils.sh dump_pods_status $NAMESPACE
+            exit 1
+          fi
+
+      - name: Validate e2e test
+        if: always()
+        run: |
+          set -xe
+          if $skip_validate; then
+            echo "Skip validate"
+          else
+            LOG_PATH=/home/$(whoami)/helm-logs
+            chart=${{ env.CHART_NAME }}
+            helm test -n $NAMESPACE $RELEASE_NAME --logs --timeout "$TEST_TIMEOUT_SECONDS" | tee ${LOG_PATH}/charts-${chart}.log
+            exit_code=$?
+            if [ $exit_code -ne 0 ]; then
+                echo "Chart ${chart} test failed, please check the logs in ${LOG_PATH}!"
+                exit 1
+            fi
+
+            echo "Checking response results, make sure the output is reasonable. "
+            teststatus=false
+            if [[ -f $LOG_PATH/charts-${chart}.log ]] && \
+            [[ $(grep -c "^Phase:.*Failed" $LOG_PATH/charts-${chart}.log) != 0 ]]; then
+                teststatus=false
+                ${{ github.workspace }}/.github/workflows/scripts/k8s-utils.sh dump_all_pod_logs $NAMESPACE
+            else
+                teststatus=true
+            fi
+
+            if [ $teststatus == false ]; then
+                echo "Response check failed, please check the logs in artifacts!"
+                exit 1
+            else
+                echo "Response check succeeded!"
+                exit 0
+            fi
+          fi
+
+      - name: Helm uninstall
+        if: always()
+        run: |
+          if $should_cleanup; then
+            helm uninstall $RELEASE_NAME --namespace $NAMESPACE
+            if ! kubectl delete ns $NAMESPACE --timeout=$KUBECTL_TIMEOUT_SECONDS; then
+              kubectl delete pods --namespace $NAMESPACE --force --grace-period=0 --all
+              kubectl delete ns $NAMESPACE --force --grace-period=0 --timeout=$KUBECTL_TIMEOUT_SECONDS
+            fi
+          fi
--- a/.github/workflows/_manifest-e2e.yml
+++ b/.github/workflows/_manifest-e2e.yml
@@ -1,185 +0,0 @@
-# Copyright (C) 2024 Intel Corporation
-# SPDX-License-Identifier: Apache-2.0
-
-name: Single Kubernetes Manifest E2e Test For Call
-on:
-  workflow_call:
-    inputs:
-      example:
-        default: "ChatQnA"
-        description: "The example to test on K8s"
-        required: true
-        type: string
-      hardware:
-        default: "xeon"
-        description: "Nodes to run the test, xeon or gaudi"
-        required: true
-        type: string
-      tag:
-        default: "latest"
-        description: "Tag to apply to images, default is latest"
-        required: false
-        type: string
-
-jobs:
-  get-test-case:
-    runs-on: ubuntu-latest
-    outputs:
-      test_cases: ${{ steps.test-case-matrix.outputs.test_cases }}
-      CHECKOUT_REF: ${{ steps.get-checkout-ref.outputs.CHECKOUT_REF }}
-    steps:
-      - name: Get checkout ref
-        id: get-checkout-ref
-        run: |
-          if [ "${{ github.event_name }}" == "pull_request" ] || [ "${{ github.event_name }}" == "pull_request_target" ]; then
-            CHECKOUT_REF=refs/pull/${{ github.event.number }}/merge
-          else
-            CHECKOUT_REF=${{ github.ref }}
-          fi
-          echo "CHECKOUT_REF=${CHECKOUT_REF}" >> $GITHUB_OUTPUT
-          echo "checkout ref ${CHECKOUT_REF}"
-
-      - name: Checkout out Repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ steps.get-checkout-ref.outputs.CHECKOUT_REF }}
-          fetch-depth: 0
-
-      - name: Get test matrix
-        shell: bash
-        id: test-case-matrix
-        run: |
-          example_l=$(echo ${{ inputs.example }} | tr '[:upper:]' '[:lower:]')
-          cd ${{ github.workspace }}/${{ inputs.example }}/tests
-          run_test_cases=""
-
-          default_test_case=$(find . -type f -name "test_manifest_on_${{ inputs.hardware }}.sh" | cut -d/ -f2)
-          if [ "$default_test_case" ]; then run_test_cases="$default_test_case"; fi
-          other_test_cases=$(find . -type f -name "test_manifest_*_on_${{ inputs.hardware }}.sh" | cut -d/ -f2)
-          echo "default_test_case=$default_test_case"
-          echo "other_test_cases=$other_test_cases"
-
-          if [ "${{ inputs.tag }}" == "ci" ]; then
-            base_commit=$(curl -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
-            "https://api.github.com/repos/opea-project/GenAIExamples/commits?sha=${{ github.event.pull_request.base.ref }}" | jq -r '.[0].sha')
-            merged_commit=$(git log -1 --format='%H')
-            changed_files="$(git diff --name-only ${base_commit} ${merged_commit} | grep -vE '${{ inputs.diff_excluded_files }}')" || true
-          fi
-
-          for test_case in $other_test_cases; do
-            if [ "${{ inputs.tag }}" == "ci" ]; then
-              flag=${test_case%_on_*}
-              flag=${flag#test_compose_}
-              if [[ $(printf '%s\n' "${changed_files[@]}" | grep ${{ inputs.example }} | grep ${flag}) ]]; then
-                run_test_cases="$run_test_cases $test_case"
-              fi
-            else
-              run_test_cases="$run_test_cases $test_case"
-            fi
-          done
-
-          test_cases=$(echo $run_test_cases | tr ' ' '\n' | sort -u | jq -R '.' | jq -sc '.')
-          echo "test_cases=$test_cases"
-          echo "test_cases=$test_cases" >> $GITHUB_OUTPUT
-
-  manifest-test:
-    needs: [get-test-case]
-    strategy:
-      matrix:
-        test_case: ${{ fromJSON(needs.get-test-case.outputs.test_cases) }}
-      fail-fast: false
-    runs-on: "k8s-${{ inputs.hardware }}"
-    continue-on-error: true
-    steps:
-      - name: Clean Up Working Directory
-        run: sudo rm -rf ${{github.workspace}}/*
-
-      - name: Get checkout ref
-        run: |
-          if [ "${{ github.event_name }}" == "pull_request" ] || [ "${{ github.event_name }}" == "pull_request_target" ]; then
-            echo "CHECKOUT_REF=refs/pull/${{ github.event.number }}/merge" >> $GITHUB_ENV
-          else
-            echo "CHECKOUT_REF=${{ github.ref }}" >> $GITHUB_ENV
-          fi
-          echo "checkout ref ${{ env.CHECKOUT_REF }}"
-
-      - name: Checkout out Repo
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ env.CHECKOUT_REF }}
-          fetch-depth: 0
-
-      - name: Set variables
-        env:
-          test_case: ${{ matrix.test_case }}
-        run: |
-          echo "IMAGE_REPO=${OPEA_IMAGE_REPO}opea" >> $GITHUB_ENV
-          echo "IMAGE_TAG=${{ inputs.tag }}" >> $GITHUB_ENV
-          lower_example=$(echo "${{ inputs.example }}" | tr '[:upper:]' '[:lower:]')
-          name=$(echo "$test_case" | cut -d/ -f2 | cut -d'_' -f3- |cut -d'_' -f1 | grep -v 'on' | sed 's/^/-/')
-          echo "NAMESPACE=$lower_example$name-$(tr -dc a-z0-9 </dev/urandom | head -c 16)" >> $GITHUB_ENV
-          echo "ROLLOUT_TIMEOUT_SECONDS=1800s" >> $GITHUB_ENV
-          echo "KUBECTL_TIMEOUT_SECONDS=60s" >> $GITHUB_ENV
-          echo "continue_test=true" >> $GITHUB_ENV
-          echo "should_cleanup=false" >> $GITHUB_ENV
-          echo "skip_validate=true" >> $GITHUB_ENV
-          echo "NAMESPACE=$NAMESPACE"
-
-      - name: Kubectl install
-        id: install
-        env:
-          test_case: ${{ matrix.test_case }}
-        run: |
-          set -x
-          echo "test_case=$test_case"
-          if [[ ! -f ${{ github.workspace }}/${{ inputs.example }}/tests/${test_case} ]]; then
-            echo "No test script found, exist test!"
-            exit 0
-          else
-            ${{ github.workspace }}/${{ inputs.example }}/tests/${test_case} init_${{ inputs.example }}
-            echo "should_cleanup=true" >> $GITHUB_ENV
-            kubectl create ns $NAMESPACE
-            ${{ github.workspace }}/${{ inputs.example }}/tests/${test_case} install_${{ inputs.example }} $NAMESPACE
-            echo "Testing ${{ inputs.example }}, waiting for pod ready..."
-            if kubectl rollout status deployment --namespace "$NAMESPACE" --timeout "$ROLLOUT_TIMEOUT_SECONDS"; then
-              echo "Testing manifests ${{ inputs.example }}, waiting for pod ready done!"
-              echo "skip_validate=false" >> $GITHUB_ENV
-            else
-              echo "Timeout waiting for pods in namespace $NAMESPACE to be ready!"
-              .github/workflows/scripts/k8s-utils.sh dump_pods_status $NAMESPACE
-              exit 1
-            fi
-            sleep 60
-          fi
-
-      - name: Validate e2e test
-        if: always()
-        env:
-          test_case: ${{ matrix.test_case }}
-        run: |
-          if $skip_validate; then
-            echo "Skip validate"
-          else
-            if ${{ github.workspace }}/${{ inputs.example }}/tests/${test_case} validate_${{ inputs.example }} $NAMESPACE ; then
-              echo "Validate ${test_case} successful!"
-            else
-              echo "Validate ${test_case} failure!!!"
-              echo "Check the logs in 'Dump logs when e2e test failed' step!!!"
-              exit 1
-            fi
-          fi
-
-      - name: Dump logs when e2e test failed
-        if: failure()
-        run: |
-          .github/workflows/scripts/k8s-utils.sh dump_all_pod_logs $NAMESPACE
-
-      - name: Kubectl uninstall
-        if: always()
-        run: |
-          if $should_cleanup; then
-            if ! kubectl delete ns $NAMESPACE --timeout=$KUBECTL_TIMEOUT_SECONDS; then
-              kubectl delete pods --namespace $NAMESPACE --force --grace-period=0 --all
-              kubectl delete ns $NAMESPACE --force --grace-period=0 --timeout=$KUBECTL_TIMEOUT_SECONDS
-            fi
-          fi
--- a/.github/workflows/_run-docker-compose.yml
+++ b/.github/workflows/_run-docker-compose.yml
@@ -89,7 +89,7 @@ jobs:
          echo "test_cases=$test_cases"
          echo "test_cases=$test_cases" >> $GITHUB_OUTPUT

-  run-test:
+  compose-test:
    needs: [get-test-case]
    strategy:
      matrix:
@@ -132,6 +132,7 @@ jobs:
          PINECONE_KEY_LANGCHAIN_TEST: ${{ secrets.PINECONE_KEY_LANGCHAIN_TEST }}
          SDK_BASE_URL: ${{ secrets.SDK_BASE_URL }}
          SERVING_TOKEN: ${{ secrets.SERVING_TOKEN }}
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          IMAGE_REPO: ${{ inputs.registry }}
          IMAGE_TAG: ${{ inputs.tag }}
          example: ${{ inputs.example }}
--- a/.github/workflows/check-online-doc-build.yml
+++ b/.github/workflows/check-online-doc-build.yml
@@ -13,7 +13,7 @@ on:

 jobs:
  build:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
    steps:

    - name: Checkout
--- a/.github/workflows/manual-docker-clean.yaml
+++ b/.github/workflows/manual-docker-clean.yaml
--- a/.github/workflows/manual-example-workflow.yml
+++ b/.github/workflows/manual-example-workflow.yml
@@ -35,9 +35,9 @@ on:
        description: 'Test examples with docker compose'
        required: false
        type: boolean
-      test_k8s:
-        default: false
-        description: 'Test examples with k8s'
+      test_helmchart:
+        default: true
+        description: 'Test examples with helm charts'
        required: false
        type: boolean
      test_gmc:
@@ -103,7 +103,7 @@ jobs:
      tag: ${{ inputs.tag }}
      build: ${{ fromJSON(inputs.build) }}
      test_compose: ${{ fromJSON(inputs.test_compose) }}
-      test_k8s: ${{ fromJSON(inputs.test_k8s) }}
+      test_helmchart: ${{ fromJSON(inputs.test_helmchart) }}
      test_gmc: ${{ fromJSON(inputs.test_gmc) }}
      opea_branch: ${{ inputs.opea_branch }}
      inject_commit: ${{ inputs.inject_commit }}
--- a/.github/workflows/pr-chart-e2e.yml
+++ b/.github/workflows/pr-chart-e2e.yml
@@ -0,0 +1,76 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+name: E2E Test with Helm Charts
+
+on:
+  pull_request_target:
+    branches: [main]
+    types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
+    paths:
+      - "!**.md"
+      - "**/helm/**"
+  workflow_dispatch:
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  job1:
+    name: Get-Test-Matrix
+    runs-on: ubuntu-latest
+    outputs:
+      run_matrix: ${{ steps.get-test-matrix.outputs.run_matrix }}
+    steps:
+      - name: Checkout Repo
+        uses: actions/checkout@v4
+        with:
+          ref: "refs/pull/${{ github.event.number }}/merge"
+          fetch-depth: 0
+
+      - name: Get Test Matrix
+        id: get-test-matrix
+        run: |
+          set -x
+          echo "base_commit=${{ github.event.pull_request.base.sha }}"
+          base_commit=${{ github.event.pull_request.base.sha }}
+          merged_commit=$(git log -1 --format='%H')
+          values_files=$(git diff --name-only ${base_commit} ${merged_commit} | \
+          grep "values.yaml" | \
+          sort -u ) #CodeGen/kubernetes/helm/cpu-values.yaml
+          run_matrix="{\"include\":["
+          for values_file in ${values_files}; do
+            if [ -f "$values_file" ]; then
+              valuefile=$(basename "$values_file")   # cpu-values.yaml
+              example=$(echo "$values_file" | cut -d'/' -f1) # CodeGen
+              if [[ "$valuefile" == *"gaudi"* ]]; then
+                hardware="gaudi"
+              elif [[ "$valuefile" == *"nv"* ]]; then
+                continue
+              else
+                hardware="xeon"
+              fi
+              echo "example=${example}, hardware=${hardware}, valuefile=${valuefile}"
+              if [[ $(echo ${run_matrix} | grep -c "{\"example\":\"${example}\",\"hardware\":\"${hardware}\"},") == 0 ]]; then
+                run_matrix="${run_matrix}{\"example\":\"${example}\",\"hardware\":\"${hardware}\"},"
+                echo "------------------ add one values file ------------------"
+              fi
+            fi
+          done
+          run_matrix="${run_matrix%,}"
+          run_matrix=$run_matrix"]}"
+          echo "run_matrix="${run_matrix}""
+          echo "run_matrix="${run_matrix}"" >> $GITHUB_OUTPUT
+
+  helm-chart-test:
+    needs: [job1]
+    if: always() && ${{ needs.job1.outputs.run_matrix.example.length > 0 }}
+    uses: ./.github/workflows/_helm-e2e.yml
+    strategy:
+      matrix: ${{ fromJSON(needs.job1.outputs.run_matrix) }}
+    with:
+      example: ${{ matrix.example }}
+      hardware: ${{ matrix.hardware }}
+      mode: "CI"
+    secrets: inherit
--- a/.github/workflows/pr-docker-compose-e2e.yml
+++ b/.github/workflows/pr-docker-compose-e2e.yml
@@ -28,7 +28,7 @@ jobs:
    if: ${{ !github.event.pull_request.draft }}
    uses: ./.github/workflows/_get-test-matrix.yml
    with:
-      diff_excluded_files: '.github|*.md|*.txt|kubernetes|manifest|gmc|assets|benchmark'
+      diff_excluded_files: '\.github|\.md|\.txt|kubernetes|gmc|assets|benchmark'

  example-test:
    needs: [get-test-matrix]
@@ -42,5 +42,5 @@ jobs:
      tag: "ci"
      example: ${{ matrix.example }}
      hardware: ${{ matrix.hardware }}
-      diff_excluded_files: '.github|*.md|*.txt|kubernetes|manifest|gmc|assets|benchmark'
+      diff_excluded_files: '\.github|\.md|\.txt|kubernetes|gmc|assets|benchmark'
    secrets: inherit
--- a/.github/workflows/pr-dockerfile-path-and-build-yaml-scan.yml
+++ b/.github/workflows/pr-dockerfile-path-and-build-yaml-scan.yml
@@ -21,7 +21,7 @@ jobs:
      - name: Clone Repo GenAIComps
        run: |
          cd ..
-          git clone https://github.com/opea-project/GenAIComps.git
+          git clone --depth 1 https://github.com/opea-project/GenAIComps.git

      - name: Check for Missing Dockerfile Paths in GenAIComps
        run: |
@@ -60,7 +60,7 @@ jobs:
          shopt -s globstar
          no_add="FALSE"
          cd ${{github.workspace}}
-          Dockerfiles=$(realpath $(find ./ -name '*Dockerfile*'))
+          Dockerfiles=$(realpath $(find ./ -name '*Dockerfile*' ! -path '*/tests/*'))
          if [ -n "$Dockerfiles" ]; then
            for dockerfile in $Dockerfiles; do
              service=$(echo "$dockerfile" | awk -F '/GenAIExamples/' '{print $2}' | awk -F '/' '{print $2}')
--- a/.github/workflows/pr-gmc-e2e.yaml.disabled
+++ b/.github/workflows/pr-gmc-e2e.yaml.disabled
@@ -8,11 +8,10 @@ on:
    branches: ["main", "*rc"]
    types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
    paths:
-      - "**/kubernetes/**/gmc/**"
+      - "**/kubernetes/gmc/**"
      - "**/tests/test_gmc**"
      - "!**.md"
      - "!**.txt"
-      - "!**/kubernetes/**/manifest/**"

 concurrency:
  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
@@ -22,7 +21,7 @@ jobs:
  job1:
    uses: ./.github/workflows/_get-test-matrix.yml
    with:
-      diff_excluded_files: '.github|docker_compose|manifest|assets|*.md|*.txt'
+      diff_excluded_files: '\.github|docker_compose|assets|\.md|\.txt'
      test_mode: "gmc"

  gmc-test:
--- a/.github/workflows/pr-manifest-e2e.yml
+++ b/.github/workflows/pr-manifest-e2e.yml
@@ -1,42 +0,0 @@
-# Copyright (C) 2024 Intel Corporation
-# SPDX-License-Identifier: Apache-2.0
-
-name: E2E test with manifests
-
-on:
-  pull_request_target:
-    branches: ["main", "*rc"]
-    types: [opened, reopened, ready_for_review, synchronize] # added `ready_for_review` since draft is skipped
-    paths:
-      - "**/Dockerfile**"
-      - "**.py"
-      - "**/kubernetes/**/manifest/**"
-      - "**/tests/test_manifest**"
-      - "!**.md"
-      - "!**.txt"
-      - "!**/kubernetes/**/gmc/**"
-  workflow_dispatch:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  job1:
-    uses: ./.github/workflows/_get-test-matrix.yml
-    with:
-      diff_excluded_files: '.github|docker_compose|gmc|assets|*.md|*.txt|benchmark'
-      test_mode: "manifest"
-
-  run-example:
-    needs: job1
-    strategy:
-      matrix: ${{ fromJSON(needs.job1.outputs.run_matrix) }}
-      fail-fast: false
-    uses: ./.github/workflows/_example-workflow.yml
-    with:
-      node: ${{ matrix.hardware }}
-      example: ${{ matrix.example }}
-      tag: ${{ github.event.pull_request.head.sha }}
-      test_k8s: true
-    secrets: inherit
--- a/.github/workflows/push-infra-issue-creation.yml
+++ b/.github/workflows/push-infra-issue-creation.yml
@@ -40,7 +40,7 @@ jobs:
      - name: Create Issue
        uses: daisy-ycguo/create-issue-action@stable
        with:
-          token: ${{ secrets.Infra_Issue_Token }}
+          token: ${{ secrets.ACTION_TOKEN }}
          owner: opea-project
          repo: GenAIInfra
          title: |
@@ -54,6 +54,6 @@ jobs:

            ${{ env.changed_files }}

-            Please verify if the helm charts and manifests need to be changed accordingly.
+            Please verify if the helm charts need to be changed accordingly.

            > This issue was created automatically by CI.
--- a/.github/workflows/scripts/check_duplicated_image.py
+++ b/.github/workflows/scripts/check_duplicated_image.py
@@ -9,6 +9,8 @@ import sys
 import yaml

 images = {}
+dockerfiles = {}
+errors = []


 def check_docker_compose_build_definition(file_path):
@@ -30,18 +32,26 @@ def check_docker_compose_build_definition(file_path):
                if not os.path.isfile(dockerfile):
                    # dockerfile not exists in the current repo context, assume it's in 3rd party context
                    dockerfile = os.path.normpath(os.path.join(context, build.get("dockerfile", "")))
-                item = {"file_path": file_path, "service": service, "dockerfile": dockerfile}
+                item = {"file_path": file_path, "service": service, "dockerfile": dockerfile, "image": image}
                if image in images and dockerfile != images[image]["dockerfile"]:
-                    print("ERROR: !!! Found Conflicts !!!")
-                    print(f"Image: {image}, Dockerfile: {dockerfile}, defined in Service: {service}, File: {file_path}")
-                    print(
+                    errors.append(
+                        f"ERROR: !!! Found Conflicts !!!\n"
+                        f"Image: {image}, Dockerfile: {dockerfile}, defined in Service: {service}, File: {file_path}\n"
                        f"Image: {image}, Dockerfile: {images[image]['dockerfile']}, defined in Service: {images[image]['service']}, File: {images[image]['file_path']}"
                    )
-                    sys.exit(1)
                else:
                    # print(f"Add Image: {image} Dockerfile: {dockerfile}")
                    images[image] = item

+                if dockerfile in dockerfiles and image != dockerfiles[dockerfile]["image"]:
+                    errors.append(
+                        f"WARNING: Different images using the same Dockerfile\n"
+                        f"Dockerfile: {dockerfile}, Image: {image}, defined in Service: {service}, File: {file_path}\n"
+                        f"Dockerfile: {dockerfile}, Image: {dockerfiles[dockerfile]['image']}, defined in Service: {dockerfiles[dockerfile]['service']}, File: {dockerfiles[dockerfile]['file_path']}"
+                    )
+                else:
+                    dockerfiles[dockerfile] = item
+

 def parse_arg():
    parser = argparse.ArgumentParser(
@@ -56,6 +66,12 @@ def main():
    for file_path in args.files:
        check_docker_compose_build_definition(file_path)
    print("SUCCESS: No Conlicts Found.")
+    if errors:
+        for error in errors:
+            print(error)
+        sys.exit(1)
+    else:
+        print("SUCCESS: No Conflicts Found.")
    return 0


--- a/.github/workflows/scripts/docker_compose_clean_up.sh
+++ b/.github/workflows/scripts/docker_compose_clean_up.sh
@@ -26,14 +26,20 @@ case "$1" in
        echo "Release all ports used by the services in $yaml_file ..."
        pip install jq yq
        ports=$(yq '.services[].ports[] | split(":")[0]' $yaml_file | grep -o '[0-9a-zA-Z_-]\+')
+        echo "All ports list..."
        echo "$ports"
        for port in $ports; do
          if [[ $port =~ [a-zA-Z_-] ]]; then
            port=$(grep -E "export $port=" tests/$test_case | cut -d'=' -f2)
          fi
-          echo $port
-          cid=$(docker ps --filter "publish=${port}" --format "{{.ID}}")
-          if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && sleep 1s; fi
+          if [[ $port =~ [0-9] ]]; then
+            if [[ $port == 5000 ]]; then
+              echo "Error: Port 5000 is used by local docker registry, please DO NOT use it in docker compose deployment!!!"
+              exit 1
+            fi
+            cid=$(docker ps --filter "publish=${port}" --format "{{.ID}}")
+            if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && echo "release $port"; fi
+          fi
        done
        ;;
    *)
--- a/.github/workflows/scripts/get_test_matrix.sh
+++ b/.github/workflows/scripts/get_test_matrix.sh
@@ -17,15 +17,15 @@ for example in ${examples}; do
    cd tests
    ls -l
    if [[ "$test_mode" == "docker_image_build" ]]; then
-        find_name="test_manifest_on_*.sh"
+        hardware_list="gaudi xeon"
    else
        find_name="test_${test_mode}*_on_*.sh"
+        hardware_list=$(find . -type f -name "${find_name}" | cut -d/ -f2 | cut -d. -f1 | awk -F'_on_' '{print $2}'| sort -u)
    fi
-    hardware_list=$(find . -type f -name "${find_name}" | cut -d/ -f2 | cut -d. -f1 | awk -F'_on_' '{print $2}'| sort -u)
    echo -e "Test supported hardware list: \n${hardware_list}"

    run_hardware=""
-    if [[ $(printf '%s\n' "${changed_files[@]}" | grep ${example} | cut -d'/' -f2 | grep -E '*.py|Dockerfile*|ui|docker_image_build' ) ]]; then
+    if [[ $(printf '%s\n' "${changed_files[@]}" | grep ${example} | cut -d'/' -f2 | grep -E '\.py|Dockerfile*|ui|docker_image_build' ) ]]; then
        # run test on all hardware if megaservice or ui code change
        run_hardware=$hardware_list
    else
--- a/.github/workflows/scripts/k8s-utils.sh
+++ b/.github/workflows/scripts/k8s-utils.sh
@@ -2,7 +2,7 @@
 # Copyright (C) 2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0

-#set -xe
+set -e

 function dump_pod_log() {
    pod_name=$1
@@ -12,7 +12,7 @@ function dump_pod_log() {
    kubectl describe pod $pod_name -n $namespace
    echo "-----------------------------------"
    echo "#kubectl logs $pod_name -n $namespace"
-    kubectl logs $pod_name -n $namespace
+    kubectl logs $pod_name -n $namespace --all-containers --prefix=true
    echo "-----------------------------------"
 }

@@ -44,8 +44,13 @@ function dump_pods_status() {

 function dump_all_pod_logs() {
    namespace=$1
+    echo "------SUMMARY of POD STATUS in NS $namespace------"
+    kubectl get pods -n $namespace -o wide
+    echo "------SUMMARY of SVC STATUS in NS $namespace------"
+    kubectl get services -n $namespace -o wide
+    echo "------SUMMARY of endpoint STATUS in NS $namespace------"
+    kubectl get endpoints -n $namespace -o wide
    echo "-----DUMP POD STATUS AND LOG in NS $namespace------"
-
    pods=$(kubectl get pods -n $namespace -o jsonpath='{.items[*].metadata.name}')
    for pod_name in $pods
    do
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -7,7 +7,7 @@ ci:

 repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.6.0
+    rev: v5.0.0
    hooks:
      - id: end-of-file-fixer
        files: (.*\.(py|md|rst|yaml|yml|json|ts|js|html|svelte|sh))$
@@ -100,18 +100,18 @@ repos:
          - prettier@3.2.5

  - repo: https://github.com/psf/black.git
-    rev: 24.4.2
+    rev: 24.10.0
    hooks:
      - id: black
        files: (.*\.py)$

  - repo: https://github.com/asottile/blacken-docs
-    rev: 1.18.0
+    rev: 1.19.1
    hooks:
      - id: blacken-docs
        args: [--line-length=120, --skip-errors]
        additional_dependencies:
-          - black==24.4.2
+          - black==24.10.0

  - repo: https://github.com/codespell-project/codespell
    rev: v2.3.0
@@ -122,7 +122,7 @@ repos:
          - tomli

  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.0
+    rev: v0.8.6
    hooks:
      - id: ruff
        args: [--fix, --exit-non-zero-on-fix, --no-cache]
--- a/AgentQnA/README.md
+++ b/AgentQnA/README.md
@@ -2,8 +2,8 @@

 ## Overview

-This example showcases a hierarchical multi-agent system for question-answering applications. The architecture diagram is shown below. The supervisor agent interfaces with the user and dispatch tasks to the worker agent and other tools to gather information and come up with answers. The worker agent uses the retrieval tool to generate answers to the queries posted by the supervisor agent. Other tools used by the supervisor agent may include APIs to interface knowledge graphs, SQL databases, external knowledge bases, etc.
-![Architecture Overview](assets/agent_qna_arch.png)
+This example showcases a hierarchical multi-agent system for question-answering applications. The architecture diagram is shown below. The supervisor agent interfaces with the user and dispatch tasks to two worker agents to gather information and come up with answers. The worker RAG agent uses the retrieval tool to retrieve relevant documents from the knowledge base (a vector database). The worker SQL agent retrieve relevant data from the SQL database. Although not included in this example, but other tools such as a web search tool or a knowledge graph query tool can be used by the supervisor agent to gather information from additional sources.
+![Architecture Overview](assets/img/agent_qna_arch.png)

 The AgentQnA example is implemented using the component-level microservices defined in [GenAIComps](https://github.com/opea-project/GenAIComps). The flow chart below shows the information flow between different microservices for this example.

@@ -38,6 +38,7 @@ flowchart LR
    end
    AG_REACT([Agent MicroService - react]):::blue
    AG_RAG([Agent MicroService - rag]):::blue
+    AG_SQL([Agent MicroService - sql]):::blue
    LLM_gen{{LLM Service <br>}}
    DP([Data Preparation MicroService]):::blue
    TEI_RER{{Reranking service<br>}}
@@ -51,6 +52,7 @@ flowchart LR
    direction LR
    a[User Input Query] --> AG_REACT
    AG_REACT --> AG_RAG
+    AG_REACT --> AG_SQL
    AG_RAG --> DocIndexRetriever-MegaService
    EM ==> RET
    RET ==> RER
@@ -59,6 +61,7 @@ flowchart LR
    %% Embedding service flow
    direction LR
    AG_RAG <-.-> LLM_gen
+    AG_SQL <-.-> LLM_gen
    AG_REACT <-.-> LLM_gen
    EM <-.-> TEI_EM
    RET <-.-> R_RET
@@ -75,11 +78,11 @@ flowchart LR
 ### Why Agent for question answering?

 1. Improve relevancy of retrieved context.
-   Agent can rephrase user queries, decompose user queries, and iterate to get the most relevant context for answering user's questions. Compared to conventional RAG, RAG agent can significantly improve the correctness and relevancy of the answer.
-2. Use tools to get additional knowledge.
-   For example, knowledge graphs and SQL databases can be exposed as APIs for Agents to gather knowledge that may be missing in the retrieval vector database.
-3. Hierarchical agent can further improve performance.
-   Expert worker agents, such as retrieval agent, knowledge graph agent, SQL agent, etc., can provide high-quality output for different aspects of a complex query, and the supervisor agent can aggregate the information together to provide a comprehensive answer.
+   RAG agent can rephrase user queries, decompose user queries, and iterate to get the most relevant context for answering user's questions. Compared to conventional RAG, RAG agent can significantly improve the correctness and relevancy of the answer.
+2. Expand scope of the agent.
+   The supervisor agent can interact with multiple worker agents that specialize in different domains with different skills (e.g., retrieve documents, write SQL queries, etc.), and thus can answer questions in multiple domains.
+3. Hierarchical multi-agents can improve performance.
+   Expert worker agents, such as RAG agent and SQL agent, can provide high-quality output for different aspects of a complex query, and the supervisor agent can aggregate the information together to provide a comprehensive answer. If we only use one agent and provide all the tools to this single agent, it may get overwhelmed and not able to provide accurate answers.

 ## Deployment with docker

@@ -100,7 +103,7 @@ Then build the agent docker image. Both the supervisor agent and the worker agen

 ```
 cd GenAIComps
-docker build -t opea/agent-langchain:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/agent/langchain/Dockerfile .
+docker build -t opea/agent:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/agent/src/Dockerfile .
 ```

 2. Set up environment for this example </br>
@@ -148,28 +151,55 @@ docker build -t opea/agent-langchain:latest --build-arg https_proxy=$https_proxy
   bash run_ingest_data.sh
   ```

-4. Launch other tools. </br>
+4. Prepare SQL database
+   In this example, we will use the Chinook SQLite database. Run the commands below.
+
+   ```
+   # Download data
+   cd $WORKDIR
+   git clone https://github.com/lerocha/chinook-database.git
+   cp chinook-database/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite $WORKDIR/GenAIExamples/AgentQnA/tests/
+   ```
+
+5. Launch other tools. </br>
   In this example, we will use some of the mock APIs provided in the Meta CRAG KDD Challenge to demonstrate the benefits of gaining additional context from mock knowledge graphs.

   ```
   docker run -d -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0
   ```

-5. Launch agent services</br>
-   We provide two options for `llm_engine` of the agents: 1. open-source LLMs, 2. OpenAI models via API calls.
-
-   Deploy it on Gaudi or Xeon respectively
+6. Launch multi-agent system. </br>
+   We provide two options for `llm_engine` of the agents: 1. open-source LLMs on Intel Gaudi2, 2. OpenAI models via API calls.

   ::::{tab-set}
   :::{tab-item} Gaudi
   :sync: Gaudi

-   To use open-source LLMs on Gaudi2, run commands below.
+   On Gaudi2 we will serve `meta-llama/Meta-Llama-3.1-70B-Instruct` using vllm.

+   First build vllm-gaudi docker image.
+
+   ```bash
+   cd $WORKDIR
+   git clone https://github.com/vllm-project/vllm.git
+   cd ./vllm
+   git checkout v0.6.6
+   docker build --no-cache -f Dockerfile.hpu -t opea/vllm-gaudi:latest --shm-size=128g . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
   ```
-   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
-   bash launch_tgi_gaudi.sh
-   bash launch_agent_service_tgi_gaudi.sh
+
+   Then launch vllm on Gaudi2 with the command below.
+
+   ```bash
+   vllm_port=8086
+   model="meta-llama/Meta-Llama-3.1-70B-Instruct"
+   docker run -d --runtime=habana --rm --name "vllm-gaudi-server" -e HABANA_VISIBLE_DEVICES=0,1,2,3 -p $vllm_port:8000 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HUGGING_FACE_HUB_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm-gaudi:latest --model ${model} --max-seq-len-to-capture 16384 --tensor-parallel-size 4
+   ```
+
+   Then launch Agent microservices.
+
+   ```bash
+   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi/
+   bash launch_agent_service_gaudi.sh
   ```

   :::
@@ -179,6 +209,7 @@ docker build -t opea/agent-langchain:latest --build-arg https_proxy=$https_proxy
   To use OpenAI models, run commands below.

   ```
+   export OPENAI_API_KEY=<your-openai-key>
   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/cpu/xeon
   bash launch_agent_service_openai.sh
   ```
@@ -186,13 +217,20 @@ docker build -t opea/agent-langchain:latest --build-arg https_proxy=$https_proxy
   :::
   ::::

+## Deploy using Helm Chart
+
+Refer to the [AgentQnA helm chart](./kubernetes/helm/README.md) for instructions on deploying AgentQnA on Kubernetes.
+
 ## Validate services

 First look at logs of the agent docker containers:

 ```
-# worker agent
+# worker RAG agent
 docker logs rag-agent-endpoint
+
+# worker SQL agent
+docker logs sql-agent-endpoint
 ```

 ```
@@ -202,22 +240,36 @@ docker logs react-agent-endpoint

 You should see something like "HTTP server setup successful" if the docker containers are started successfully.</p>

-Second, validate worker agent:
+Second, validate worker RAG agent:

 ```
 curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "Michael Jackson song Thriller"
    }'
 ```

-Third, validate supervisor agent:
+Third, validate worker SQL agent:
+
+```
+curl http://${host_ip}:9096/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
+     "messages": "How many employees are in the company"
+    }'
+```
+
+Finally, validate supervisor agent:

 ```
 curl http://${host_ip}:9090/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "How many albums does Iron Maiden have?"
    }'
 ```

+## Deploy AgentQnA UI
+
+The AgentQnA UI can be deployed locally or using Docker.
+
+For detailed instructions on deploying AgentQnA UI, refer to the [AgentQnA UI Guide](./ui/svelte/README.md).
+
 ## How to register your own tools with agent

-You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/langchain/README.md).
+You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/src/README.md).
--- a/AgentQnA/assets/agent_qna_arch.png
+++ b/AgentQnA/assets/agent_qna_arch.png
--- a/AgentQnA/assets/img/agent_qna_arch.png
+++ b/AgentQnA/assets/img/agent_qna_arch.png
--- a/AgentQnA/assets/img/agent_ui.png
+++ b/AgentQnA/assets/img/agent_ui.png
--- a/AgentQnA/assets/img/agent_ui_result.png
+++ b/AgentQnA/assets/img/agent_ui_result.png
--- a/AgentQnA/docker_compose/amd/gpu/rocm/README.md
+++ b/AgentQnA/docker_compose/amd/gpu/rocm/README.md
@@ -0,0 +1,101 @@
+# Single node on-prem deployment with Docker Compose on AMD GPU
+
+This example showcases a hierarchical multi-agent system for question-answering applications. We deploy the example on Xeon. For LLMs, we use OpenAI models via API calls. For instructions on using open-source LLMs, please refer to the deployment guide [here](../../../../README.md).
+
+## Deployment with docker
+
+1. First, clone this repo.
+   ```
+   export WORKDIR=<your-work-directory>
+   cd $WORKDIR
+   git clone https://github.com/opea-project/GenAIExamples.git
+   ```
+2. Set up environment for this example </br>
+
+   ```
+   # Example: host_ip="192.168.1.1" or export host_ip="External_Public_IP"
+   export host_ip=$(hostname -I | awk '{print $1}')
+   # if you are in a proxy environment, also set the proxy-related environment variables
+   export http_proxy="Your_HTTP_Proxy"
+   export https_proxy="Your_HTTPs_Proxy"
+   # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
+   export no_proxy="Your_No_Proxy"
+
+   export TOOLSET_PATH=$WORKDIR/GenAIExamples/AgentQnA/tools/
+   #OPANAI_API_KEY if you want to use OpenAI models
+   export OPENAI_API_KEY=<your-openai-key>
+   # Set AMD GPU settings
+   export AGENTQNA_CARD_ID="card1"
+   export AGENTQNA_RENDER_ID="renderD136"
+   ```
+
+3. Deploy the retrieval tool (i.e., DocIndexRetriever mega-service)
+
+   First, launch the mega-service.
+
+   ```
+   cd $WORKDIR/GenAIExamples/AgentQnA/retrieval_tool
+   bash launch_retrieval_tool.sh
+   ```
+
+   Then, ingest data into the vector database. Here we provide an example. You can ingest your own data.
+
+   ```
+   bash run_ingest_data.sh
+   ```
+
+4. Launch Tool service
+   In this example, we will use some of the mock APIs provided in the Meta CRAG KDD Challenge to demonstrate the benefits of gaining additional context from mock knowledge graphs.
+   ```
+   docker run -d -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0
+   ```
+5. Launch `Agent` service
+
+   ```
+   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/amd/gpu/rocm
+   bash launch_agent_service_tgi_rocm.sh
+   ```
+
+6. [Optional] Build `Agent` docker image if pulling images failed.
+
+   ```
+   git clone https://github.com/opea-project/GenAIComps.git
+   cd GenAIComps
+   docker build -t opea/agent:latest -f comps/agent/src/Dockerfile .
+   ```
+
+## Validate services
+
+First look at logs of the agent docker containers:
+
+```
+# worker agent
+docker logs rag-agent-endpoint
+```
+
+```
+# supervisor agent
+docker logs react-agent-endpoint
+```
+
+You should see something like "HTTP server setup successful" if the docker containers are started successfully.</p>
+
+Second, validate worker agent:
+
+```
+curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
+     "query": "Most recent album by Taylor Swift"
+    }'
+```
+
+Third, validate supervisor agent:
+
+```
+curl http://${host_ip}:9090/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
+     "query": "Most recent album by Taylor Swift"
+    }'
+```
+
+## How to register your own tools with agent
+
+You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/src/README.md).
--- a/AgentQnA/docker_compose/amd/gpu/rocm/compose.yaml
+++ b/AgentQnA/docker_compose/amd/gpu/rocm/compose.yaml
@@ -31,7 +31,7 @@ services:
    command: --model-id ${LLM_MODEL_ID} --max-input-length 4096 --max-total-tokens 8192

  worker-rag-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: rag-agent-endpoint
    volumes:
      # - ${WORKDIR}/GenAIExamples/AgentQnA/docker_image_build/GenAIComps/comps/agent/langchain/:/home/user/comps/agent/langchain/
@@ -49,7 +49,7 @@ services:
      model: ${LLM_MODEL_ID}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/worker_agent_tools.yaml
      require_human_feedback: false
      RETRIEVAL_TOOL_URL: ${RETRIEVAL_TOOL_URL}
@@ -62,7 +62,7 @@ services:
      port: 9095

  supervisor-react-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: react-agent-endpoint
    depends_on:
      - agent-tgi-server
@@ -83,7 +83,7 @@ services:
      model: ${LLM_MODEL_ID}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/supervisor_agent_tools.yaml
      require_human_feedback: false
      no_proxy: ${no_proxy}
--- a/AgentQnA/docker_compose/amd/gpu/rocm/launch_agent_service_tgi_rocm.sh
+++ b/AgentQnA/docker_compose/amd/gpu/rocm/launch_agent_service_tgi_rocm.sh
@@ -40,8 +40,8 @@ export EMBEDDING_SERVICE_HOST_IP=${host_ip}
 export RETRIEVER_SERVICE_HOST_IP=${host_ip}
 export RERANK_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8889/v1/retrievaltool"
-export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
-export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_file"
-export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_file"
+export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/ingest"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete"

 docker compose -f compose.yaml up -d
--- a/AgentQnA/docker_compose/amd/gpu/rocm/set_env.sh
+++ b/AgentQnA/docker_compose/amd/gpu/rocm/set_env.sh
@@ -41,6 +41,6 @@ export EMBEDDING_SERVICE_HOST_IP=${host_ip}
 export RETRIEVER_SERVICE_HOST_IP=${host_ip}
 export RERANK_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8889/v1/retrievaltool"
-export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
-export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get_file"
-export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete_file"
+export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/ingest"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/get"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/delete"
--- a/AgentQnA/docker_compose/intel/cpu/xeon/README.md
+++ b/AgentQnA/docker_compose/intel/cpu/xeon/README.md
@@ -41,26 +41,38 @@ This example showcases a hierarchical multi-agent system for question-answering
   bash run_ingest_data.sh
   ```

-4. Launch Tool service
+4. Prepare SQL database
+   In this example, we will use the SQLite database provided in the [TAG-Bench](https://github.com/TAG-Research/TAG-Bench/tree/main). Run the commands below.
+
+   ```
+   # Download data
+   cd $WORKDIR
+   git clone https://github.com/TAG-Research/TAG-Bench.git
+   cd TAG-Bench/setup
+   chmod +x get_dbs.sh
+   ./get_dbs.sh
+   ```
+
+5. Launch Tool service
   In this example, we will use some of the mock APIs provided in the Meta CRAG KDD Challenge to demonstrate the benefits of gaining additional context from mock knowledge graphs.
   ```
   docker run -d -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0
   ```
-5. Launch `Agent` service
+6. Launch multi-agent system

-   The configurations of the supervisor agent and the worker agent are defined in the docker-compose yaml file. We currently use openAI GPT-4o-mini as LLM, and llama3.1-70B-instruct (served by TGI-Gaudi) in Gaudi example. To use openai llm, run command below.
+   The configurations of the supervisor agent and the worker agents are defined in the docker-compose yaml file. We currently use openAI GPT-4o-mini as LLM.

   ```
   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/cpu/xeon
   bash launch_agent_service_openai.sh
   ```

-6. [Optional] Build `Agent` docker image if pulling images failed.
+7. [Optional] Build `Agent` docker image if pulling images failed.

   ```
   git clone https://github.com/opea-project/GenAIComps.git
   cd GenAIComps
-   docker build -t opea/agent-langchain:latest -f comps/agent/langchain/Dockerfile .
+   docker build -t opea/agent:latest -f comps/agent/src/Dockerfile .
   ```

 ## Validate services
@@ -68,8 +80,11 @@ This example showcases a hierarchical multi-agent system for question-answering
 First look at logs of the agent docker containers:

 ```
-# worker agent
+# worker RAG agent
 docker logs rag-agent-endpoint
+
+# worker SQL agent
+docker logs sql-agent-endpoint
 ```

 ```
@@ -79,22 +94,30 @@ docker logs react-agent-endpoint

 You should see something like "HTTP server setup successful" if the docker containers are started successfully.</p>

-Second, validate worker agent:
+Second, validate worker RAG agent:

 ```
 curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "Michael Jackson song Thriller"
    }'
 ```

-Third, validate supervisor agent:
+Third, validate worker SQL agent:
+
+```
+curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
+     "messages": "How many employees are in the company?"
+    }'
+```
+
+Finally, validate supervisor agent:

 ```
 curl http://${host_ip}:9090/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "How many albums does Iron Maiden have?"
    }'
 ```

 ## How to register your own tools with agent

-You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/langchain/README.md).
+You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/src/README.md).
--- a/AgentQnA/docker_compose/intel/cpu/xeon/compose_openai.yaml
+++ b/AgentQnA/docker_compose/intel/cpu/xeon/compose_openai.yaml
@@ -3,7 +3,7 @@

 services:
  worker-rag-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: rag-agent-endpoint
    volumes:
      - ${TOOLSET_PATH}:/home/user/tools/
@@ -19,7 +19,7 @@ services:
      model: ${model}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/worker_agent_tools.yaml
      require_human_feedback: false
      RETRIEVAL_TOOL_URL: ${RETRIEVAL_TOOL_URL}
@@ -31,9 +31,36 @@ services:
      LANGCHAIN_PROJECT: "opea-worker-agent-service"
      port: 9095

+  worker-sql-agent:
+    image: opea/agent:latest
+    container_name: sql-agent-endpoint
+    volumes:
+      - ${WORKDIR}/TAG-Bench/:/home/user/TAG-Bench # SQL database
+    ports:
+      - "9096:9096"
+    ipc: host
+    environment:
+      ip_address: ${ip_address}
+      strategy: sql_agent
+      db_name: ${db_name}
+      db_path: ${db_path}
+      use_hints: false
+      hints_file: /home/user/TAG-Bench/${db_name}_hints.csv
+      recursion_limit: ${recursion_limit_worker}
+      llm_engine: openai
+      OPENAI_API_KEY: ${OPENAI_API_KEY}
+      model: ${model}
+      temperature: 0
+      max_new_tokens: ${max_new_tokens}
+      stream: false
+      require_human_feedback: false
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      port: 9096

  supervisor-react-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: react-agent-endpoint
    depends_on:
      - worker-rag-agent
@@ -51,7 +78,7 @@ services:
      model: ${model}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/supervisor_agent_tools.yaml
      require_human_feedback: false
      no_proxy: ${no_proxy}
--- a/AgentQnA/docker_compose/intel/cpu/xeon/launch_agent_service_openai.sh
+++ b/AgentQnA/docker_compose/intel/cpu/xeon/launch_agent_service_openai.sh
@@ -13,7 +13,10 @@ export temperature=0
 export max_new_tokens=4096
 export OPENAI_API_KEY=${OPENAI_API_KEY}
 export WORKER_AGENT_URL="http://${ip_address}:9095/v1/chat/completions"
+export SQL_AGENT_URL="http://${ip_address}:9096/v1/chat/completions"
 export RETRIEVAL_TOOL_URL="http://${ip_address}:8889/v1/retrievaltool"
 export CRAG_SERVER=http://${ip_address}:8080
+export db_name=california_schools
+export db_path="sqlite:////home/user/TAG-Bench/dev_folder/dev_databases/${db_name}/${db_name}.sqlite"

 docker compose -f compose_openai.yaml up -d
--- a/AgentQnA/docker_compose/intel/hpu/gaudi/README.md
+++ b/AgentQnA/docker_compose/intel/hpu/gaudi/README.md
@@ -1,6 +1,6 @@
 # Single node on-prem deployment AgentQnA on Gaudi

-This example showcases a hierarchical multi-agent system for question-answering applications. We deploy the example on Gaudi using open-source LLMs,
+This example showcases a hierarchical multi-agent system for question-answering applications. We deploy the example on Gaudi using open-source LLMs.
 For more details, please refer to the deployment guide [here](../../../../README.md).

 ## Deployment with docker
@@ -45,27 +45,58 @@ For more details, please refer to the deployment guide [here](../../../../README
   bash run_ingest_data.sh
   ```

-4. Launch Tool service
+4. Prepare SQL database
+   In this example, we will use the Chinook SQLite database. Run the commands below.
+
+   ```
+   # Download data
+   cd $WORKDIR
+   git clone https://github.com/lerocha/chinook-database.git
+   cp chinook-database/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite $WORKDIR/GenAIExamples/AgentQnA/tests/
+   ```
+
+5. Launch Tool service
   In this example, we will use some of the mock APIs provided in the Meta CRAG KDD Challenge to demonstrate the benefits of gaining additional context from mock knowledge graphs.
   ```
   docker run -d -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0
   ```
-5. Launch `Agent` service
+6. Launch multi-agent system

-   To use open-source LLMs on Gaudi2, run commands below.
+   On Gaudi2 we will serve `meta-llama/Meta-Llama-3.1-70B-Instruct` using vllm.

-   ```
-   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
-   bash launch_tgi_gaudi.sh
-   bash launch_agent_service_tgi_gaudi.sh
+   First build vllm-gaudi docker image.
+
+   ```bash
+   cd $WORKDIR
+   git clone https://github.com/vllm-project/vllm.git
+   cd ./vllm
+   git checkout v0.6.6
+   docker build --no-cache -f Dockerfile.hpu -t opea/vllm-gaudi:latest --shm-size=128g . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
   ```

-6. [Optional] Build `Agent` docker image if pulling images failed.
+   Then launch vllm on Gaudi2 with the command below.
+
+   ```bash
+   vllm_port=8086
+   model="meta-llama/Meta-Llama-3.1-70B-Instruct"
+   docker run -d --runtime=habana --rm --name "vllm-gaudi-server" -e HABANA_VISIBLE_DEVICES=0,1,2,3 -p $vllm_port:8000 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HUGGING_FACE_HUB_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm-gaudi:latest --model ${model} --max-seq-len-to-capture 16384 --tensor-parallel-size 4
+   ```
+
+   Then launch Agent microservices.
+
+   ```bash
+   cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi/
+   bash launch_agent_service_gaudi.sh
+   ```
+
+7. [Optional] Build `Agent` docker image if pulling images failed.
+
+   If docker image pulling failed in Step 6 above, build the agent docker image with the commands below. After image build, try Step 6 again.

   ```
   git clone https://github.com/opea-project/GenAIComps.git
   cd GenAIComps
-   docker build -t opea/agent-langchain:latest -f comps/agent/langchain/Dockerfile .
+   docker build -t opea/agent:latest -f comps/agent/src/Dockerfile .
   ```

 ## Validate services
@@ -73,8 +104,11 @@ For more details, please refer to the deployment guide [here](../../../../README
 First look at logs of the agent docker containers:

 ```
-# worker agent
+# worker RAG agent
 docker logs rag-agent-endpoint
+
+# worker SQL agent
+docker logs sql-agent-endpoint
 ```

 ```
@@ -84,22 +118,30 @@ docker logs react-agent-endpoint

 You should see something like "HTTP server setup successful" if the docker containers are started successfully.</p>

-Second, validate worker agent:
+Second, validate worker RAG agent:

 ```
 curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "Michael Jackson song Thriller"
    }'
 ```

-Third, validate supervisor agent:
+Third, validate worker SQL agent:
+
+```
+curl http://${host_ip}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
+     "messages": "How many employees are in the company?"
+    }'
+```
+
+Finally, validate supervisor agent:

 ```
 curl http://${host_ip}:9090/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-     "query": "Most recent album by Taylor Swift"
+     "messages": "How many albums does Iron Maiden have?"
    }'
 ```

 ## How to register your own tools with agent

-You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/langchain/README.md).
+You can take a look at the tools yaml and python files in this example. For more details, please refer to the "Provide your own tools" section in the instructions [here](https://github.com/opea-project/GenAIComps/tree/main/comps/agent/src/README.md).
--- a/AgentQnA/docker_compose/intel/hpu/gaudi/compose.yaml
+++ b/AgentQnA/docker_compose/intel/hpu/gaudi/compose.yaml
@@ -3,10 +3,9 @@

 services:
  worker-rag-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: rag-agent-endpoint
    volumes:
-      # - ${WORKDIR}/GenAIExamples/AgentQnA/docker_image_build/GenAIComps/comps/agent/langchain/:/home/user/comps/agent/langchain/
      - ${TOOLSET_PATH}:/home/user/tools/
    ports:
      - "9095:9095"
@@ -15,13 +14,13 @@ services:
      ip_address: ${ip_address}
      strategy: rag_agent_llama
      recursion_limit: ${recursion_limit_worker}
-      llm_engine: tgi
+      llm_engine: vllm
      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
      llm_endpoint_url: ${LLM_ENDPOINT_URL}
      model: ${LLM_MODEL_ID}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/worker_agent_tools.yaml
      require_human_feedback: false
      RETRIEVAL_TOOL_URL: ${RETRIEVAL_TOOL_URL}
@@ -33,14 +32,41 @@ services:
      LANGCHAIN_PROJECT: "opea-worker-agent-service"
      port: 9095

+  worker-sql-agent:
+    image: opea/agent:latest
+    container_name: sql-agent-endpoint
+    volumes:
+      - ${WORKDIR}/GenAIExamples/AgentQnA/tests:/home/user/chinook-db # test db
+    ports:
+      - "9096:9096"
+    ipc: host
+    environment:
+      ip_address: ${ip_address}
+      strategy: sql_agent_llama
+      db_name: ${db_name}
+      db_path: ${db_path}
+      use_hints: false
+      recursion_limit: ${recursion_limit_worker}
+      llm_engine: vllm
+      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
+      llm_endpoint_url: ${LLM_ENDPOINT_URL}
+      model: ${LLM_MODEL_ID}
+      temperature: ${temperature}
+      max_new_tokens: ${max_new_tokens}
+      stream: false
+      require_human_feedback: false
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      port: 9096

  supervisor-react-agent:
-    image: opea/agent-langchain:latest
+    image: opea/agent:latest
    container_name: react-agent-endpoint
    depends_on:
      - worker-rag-agent
+      - worker-sql-agent
    volumes:
-      # - ${WORKDIR}/GenAIExamples/AgentQnA/docker_image_build/GenAIComps/comps/agent/langchain/:/home/user/comps/agent/langchain/
      - ${TOOLSET_PATH}:/home/user/tools/
    ports:
      - "9090:9090"
@@ -49,13 +75,13 @@ services:
      ip_address: ${ip_address}
      strategy: react_llama
      recursion_limit: ${recursion_limit_supervisor}
-      llm_engine: tgi
+      llm_engine: vllm
      HUGGINGFACEHUB_API_TOKEN: ${HUGGINGFACEHUB_API_TOKEN}
      llm_endpoint_url: ${LLM_ENDPOINT_URL}
      model: ${LLM_MODEL_ID}
      temperature: ${temperature}
      max_new_tokens: ${max_new_tokens}
-      streaming: false
+      stream: false
      tools: /home/user/tools/supervisor_agent_tools.yaml
      require_human_feedback: false
      no_proxy: ${no_proxy}
@@ -66,4 +92,5 @@ services:
      LANGCHAIN_PROJECT: "opea-supervisor-agent-service"
      CRAG_SERVER: $CRAG_SERVER
      WORKER_AGENT_URL: $WORKER_AGENT_URL
+      SQL_AGENT_URL: $SQL_AGENT_URL
      port: 9090
--- a/AgentQnA/docker_compose/intel/hpu/gaudi/launch_agent_service_tgi_gaudi.sh
+++ b/AgentQnA/docker_compose/intel/hpu/gaudi/launch_agent_service_tgi_gaudi.sh
@@ -16,8 +16,8 @@ ls $HF_CACHE_DIR
 export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
 export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-70B-Instruct"
 export NUM_SHARDS=4
-export LLM_ENDPOINT_URL="http://${ip_address}:8085"
-export temperature=0.01
+export LLM_ENDPOINT_URL="http://${ip_address}:8086"
+export temperature=0
 export max_new_tokens=4096

 # agent related environment variables
@@ -26,7 +26,11 @@ echo "TOOLSET_PATH=${TOOLSET_PATH}"
 export recursion_limit_worker=12
 export recursion_limit_supervisor=10
 export WORKER_AGENT_URL="http://${ip_address}:9095/v1/chat/completions"
+export SQL_AGENT_URL="http://${ip_address}:9096/v1/chat/completions"
 export RETRIEVAL_TOOL_URL="http://${ip_address}:8889/v1/retrievaltool"
 export CRAG_SERVER=http://${ip_address}:8080

+export db_name=Chinook
+export db_path="sqlite:////home/user/chinook-db/Chinook_Sqlite.sqlite"
+
 docker compose -f compose.yaml up -d
--- a/AgentQnA/docker_image_build/build.yaml
+++ b/AgentQnA/docker_image_build/build.yaml
@@ -2,12 +2,18 @@
 # SPDX-License-Identifier: Apache-2.0

 services:
-  agent-langchain:
+  agent:
    build:
      context: GenAIComps
-      dockerfile: comps/agent/langchain/Dockerfile
+      dockerfile: comps/agent/src/Dockerfile
      args:
        http_proxy: ${http_proxy}
        https_proxy: ${https_proxy}
        no_proxy: ${no_proxy}
-    image: ${REGISTRY:-opea}/agent-langchain:${TAG:-latest}
+    image: ${REGISTRY:-opea}/agent:${TAG:-latest}
+  agent-ui:
+    build:
+      context: ../ui
+      dockerfile: ./docker/Dockerfile
+    extends: agent
+    image: ${REGISTRY:-opea}/agent-ui:${TAG:-latest}
--- a/AgentQnA/kubernetes/helm/README.md
+++ b/AgentQnA/kubernetes/helm/README.md
@@ -0,0 +1,11 @@
+# Deploy AgentQnA on Kubernetes cluster
+
+- You should have Helm (version >= 3.15) installed. Refer to the [Helm Installation Guide](https://helm.sh/docs/intro/install/) for more information.
+- For more deploy options, refer to [helm charts README](https://github.com/opea-project/GenAIInfra/tree/main/helm-charts#readme).
+
+## Deploy on Gaudi
+
+```
+export HFTOKEN="insert-your-huggingface-token-here"
+helm install agentqna oci://ghcr.io/opea-project/charts/agentqna  --set global.HUGGINGFACEHUB_API_TOKEN=${HFTOKEN} -f gaudi-values.yaml
+```
--- a/AgentQnA/kubernetes/helm/gaudi-values.yaml
+++ b/AgentQnA/kubernetes/helm/gaudi-values.yaml
@@ -0,0 +1,16 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+# Accelerate inferencing in heaviest components to improve performance
+# by overriding their subchart values
+
+vllm:
+  enabled: true
+  image:
+    repository: opea/vllm-gaudi
+supervisor:
+  llm_endpoint_url: http://{{ .Release.Name }}-vllm
+ragagent:
+  llm_endpoint_url: http://{{ .Release.Name }}-vllm
+sqlagent:
+  llm_endpoint_url: http://{{ .Release.Name }}-vllm
--- a/AgentQnA/retrieval_tool/index_data.py
+++ b/AgentQnA/retrieval_tool/index_data.py
@@ -53,7 +53,7 @@ def main():
    host_ip = args.host_ip
    port = args.port
    proxies = {"http": ""}
-    url = "http://{host_ip}:{port}/v1/dataprep".format(host_ip=host_ip, port=port)
+    url = "http://{host_ip}:{port}/v1/dataprep/ingest".format(host_ip=host_ip, port=port)

    # Split jsonl file into json files
    files = split_jsonl_into_txts(os.path.join(args.filedir, args.filename))
--- a/AgentQnA/retrieval_tool/launch_retrieval_tool.sh
+++ b/AgentQnA/retrieval_tool/launch_retrieval_tool.sh
@@ -13,13 +13,14 @@ export TEI_EMBEDDING_ENDPOINT="http://${host_ip}:6006"
 export TEI_RERANKING_ENDPOINT="http://${host_ip}:8808"
 export REDIS_URL="redis://${host_ip}:6379"
 export INDEX_NAME="rag-redis"
+export RERANK_TYPE="tei"
 export MEGA_SERVICE_HOST_IP=${host_ip}
 export EMBEDDING_SERVICE_HOST_IP=${host_ip}
 export RETRIEVER_SERVICE_HOST_IP=${host_ip}
 export RERANK_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:8889/v1/retrievaltool"
-export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep"
-export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get_file"
-export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6009/v1/dataprep/delete_file"
+export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:6007/v1/dataprep/ingest"
+export DATAPREP_GET_FILE_ENDPOINT="http://${host_ip}:6008/v1/dataprep/get"
+export DATAPREP_DELETE_FILE_ENDPOINT="http://${host_ip}:6009/v1/dataprep/delete"

 docker compose -f $WORKDIR/GenAIExamples/DocIndexRetriever/docker_compose/intel/cpu/xeon/compose.yaml up -d
--- a/AgentQnA/tests/_test_compose_openai_on_xeon.sh
+++ b/AgentQnA/tests/_test_compose_openai_on_xeon.sh
@@ -15,7 +15,7 @@ function stop_agent_and_api_server() {
    echo "Stopping CRAG server"
    docker stop $(docker ps -q --filter ancestor=docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0)
    echo "Stopping Agent services"
-    docker stop $(docker ps -q --filter ancestor=opea/agent-langchain:latest)
+    docker stop $(docker ps -q --filter ancestor=opea/agent:latest)
 }

 function stop_retrieval_tool() {
--- a/AgentQnA/tests/sql_agent_test/run_data_split.sh
+++ b/AgentQnA/tests/sql_agent_test/run_data_split.sh
@@ -0,0 +1,6 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+DATAPATH=$WORKDIR/TAG-Bench/tag_queries.csv
+OUTFOLDER=$WORKDIR/TAG-Bench/query_by_db
+python3 split_data.py --path $DATAPATH --output $OUTFOLDER
--- a/AgentQnA/tests/sql_agent_test/split_data.py
+++ b/AgentQnA/tests/sql_agent_test/split_data.py
@@ -0,0 +1,27 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import argparse
+import os
+
+import pandas as pd
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--path", type=str, required=True)
+    parser.add_argument("--output", type=str, required=True)
+    args = parser.parse_args()
+
+    # if output folder does not exist, create it
+    if not os.path.exists(args.output):
+        os.makedirs(args.output)
+
+    # Load the data
+    data = pd.read_csv(args.path)
+
+    # Split the data by domain
+    domains = data["DB used"].unique()
+    for domain in domains:
+        domain_data = data[data["DB used"] == domain]
+        out = os.path.join(args.output, f"query_{domain}.csv")
+        domain_data.to_csv(out, index=False)
--- a/AgentQnA/tests/step1_build_images.sh
+++ b/AgentQnA/tests/step1_build_images.sh
@@ -11,17 +11,16 @@ export ip_address=$(hostname -I | awk '{print $1}')

 function get_genai_comps() {
    if [ ! -d "GenAIComps" ] ; then
-        git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../
+        git clone --depth 1 --branch ${opea_branch:-"main"} https://github.com/opea-project/GenAIComps.git
    fi
 }


 function build_docker_images_for_retrieval_tool(){
    cd $WORKDIR/GenAIExamples/DocIndexRetriever/docker_image_build/
-    # git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && cd ../
    get_genai_comps
    echo "Build all the images with --no-cache..."
-    service_list="doc-index-retriever dataprep-redis embedding-tei retriever-redis reranking-tei"
+    service_list="doc-index-retriever dataprep embedding retriever reranking"
    docker compose -f build.yaml build ${service_list} --no-cache
    docker pull ghcr.io/huggingface/text-embeddings-inference:cpu-1.5

@@ -35,6 +34,26 @@ function build_agent_docker_image() {
    docker compose -f build.yaml build --no-cache
 }

+function build_vllm_docker_image() {
+    echo "Building the vllm docker image"
+    cd $WORKPATH
+    echo $WORKPATH
+    if [ ! -d "./vllm-fork" ]; then
+        git clone https://github.com/HabanaAI/vllm-fork.git
+    fi
+    cd ./vllm-fork
+    git checkout v0.6.4.post2+Gaudi-1.19.0
+    sed -i 's/triton/triton==3.1.0/g' requirements-hpu.txt
+    docker build --no-cache -f Dockerfile.hpu -t opea/vllm-gaudi:ci --shm-size=128g . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
+    if [ $? -ne 0 ]; then
+        echo "opea/vllm-gaudi:ci failed"
+        exit 1
+    else
+        echo "opea/vllm-gaudi:ci successful"
+    fi
+}
+
+
 function main() {
    echo "==================== Build docker images for retrieval tool ===================="
    build_docker_images_for_retrieval_tool
@@ -43,6 +62,12 @@ function main() {
    echo "==================== Build agent docker image ===================="
    build_agent_docker_image
    echo "==================== Build agent docker image completed ===================="
+
+    echo "==================== Build vllm docker image ===================="
+    build_vllm_docker_image
+    echo "==================== Build vllm docker image completed ===================="
+
+    docker image ls | grep vllm
 }

 main
--- a/AgentQnA/tests/step2_start_retrieval_tool.sh
+++ b/AgentQnA/tests/step2_start_retrieval_tool.sh
@@ -7,6 +7,7 @@ WORKPATH=$(dirname "$PWD")
 export WORKDIR=$WORKPATH/../../
 echo "WORKDIR=${WORKDIR}"
 export ip_address=$(hostname -I | awk '{print $1}')
+export host_ip=${ip_address}

 export HF_CACHE_DIR=$WORKDIR/hf_cache
 if [ ! -d "$HF_CACHE_DIR" ]; then
--- a/AgentQnA/tests/step4_launch_and_validate_agent_tgi.sh
+++ b/AgentQnA/tests/step4_launch_and_validate_agent_tgi.sh
@@ -8,15 +8,22 @@ WORKPATH=$(dirname "$PWD")
 export WORKDIR=$WORKPATH/../../
 echo "WORKDIR=${WORKDIR}"
 export ip_address=$(hostname -I | awk '{print $1}')
-export TOOLSET_PATH=$WORKDIR/GenAIExamples/AgentQnA/tools/
+export TOOLSET_PATH=$WORKPATH/tools/
 export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
+HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
+model="meta-llama/Meta-Llama-3.1-70B-Instruct"

-export HF_CACHE_DIR=$WORKDIR/hf_cache
+export HF_CACHE_DIR=/data2/huggingface
 if [ ! -d "$HF_CACHE_DIR" ]; then
+    HF_CACHE_DIR=$WORKDIR/hf_cache
    mkdir -p "$HF_CACHE_DIR"
 fi
+echo  "HF_CACHE_DIR=$HF_CACHE_DIR"
 ls $HF_CACHE_DIR

+vllm_port=8086
+vllm_volume=${HF_CACHE_DIR}
+
 function start_tgi(){
    echo "Starting tgi-gaudi server"
    cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
@@ -24,14 +31,67 @@ function start_tgi(){

 }

+function start_vllm_service_70B() {
+
+    echo "token is ${HF_TOKEN}"
+
+    echo "start vllm gaudi service"
+    echo "**************model is $model**************"
+    vllm_image=opea/vllm-gaudi:ci
+    docker run -d --runtime=habana --rm --name "vllm-gaudi-server" -e HABANA_VISIBLE_DEVICES=0,1,2,3 -p $vllm_port:8000 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HUGGING_FACE_HUB_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host $vllm_image --model ${model} --max-seq-len-to-capture 16384 --tensor-parallel-size 4
+    sleep 5s
+    echo "Waiting vllm gaudi ready"
+    n=0
+    LOG_PATH=$PWD
+    until [[ "$n" -ge 100 ]] || [[ $ready == true ]]; do
+        docker logs vllm-gaudi-server
+        docker logs vllm-gaudi-server &> ${LOG_PATH}/vllm-gaudi-service.log
+        n=$((n+1))
+        if grep -q "Uvicorn running on" ${LOG_PATH}/vllm-gaudi-service.log; then
+            break
+        fi
+        if grep -q "No such container" ${LOG_PATH}/vllm-gaudi-service.log; then
+            echo "container vllm-gaudi-server not found"
+            exit 1
+        fi
+        sleep 5s
+    done
+    sleep 5s
+    echo "Service started successfully"
+}
+
+
+function prepare_data() {
+    cd $WORKDIR
+
+    echo "Downloading data..."
+    git clone https://github.com/TAG-Research/TAG-Bench.git
+    cd TAG-Bench/setup
+    chmod +x get_dbs.sh
+    ./get_dbs.sh
+
+    echo "Split data..."
+    cd $WORKPATH/tests/sql_agent_test
+    bash run_data_split.sh
+
+    echo "Data preparation done!"
+}
+
+function download_chinook_data(){
+    echo "Downloading chinook data..."
+    cd $WORKDIR
+    git clone https://github.com/lerocha/chinook-database.git
+    cp chinook-database/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite $WORKDIR/GenAIExamples/AgentQnA/tests/
+}
+
 function start_agent_and_api_server() {
    echo "Starting CRAG server"
    docker run -d --runtime=runc --name=kdd-cup-24-crag-service -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0

    echo "Starting Agent services"
    cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
-    bash launch_agent_service_tgi_gaudi.sh
-    sleep 10
+    bash launch_agent_service_gaudi.sh
+    sleep 2m
 }

 function validate() {
@@ -49,35 +109,76 @@ function validate() {
 }

 function validate_agent_service() {
-    echo "----------------Test agent ----------------"
-    # local CONTENT=$(http_proxy="" curl http://${ip_address}:9095/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-    #  "query": "Tell me about Michael Jackson song thriller"
-    # }')
+    # # test worker rag agent
+    echo "======================Testing worker rag agent======================"
    export agent_port="9095"
-    local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py)
+    prompt="Tell me about Michael Jackson song Thriller"
+    local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
+    # echo $CONTENT
    local EXIT_CODE=$(validate "$CONTENT" "Thriller" "rag-agent-endpoint")
-    docker logs rag-agent-endpoint
+    echo $EXIT_CODE
+    local EXIT_CODE="${EXIT_CODE:0-1}"
    if [ "$EXIT_CODE" == "1" ]; then
+        docker logs rag-agent-endpoint
        exit 1
    fi

-    # local CONTENT=$(http_proxy="" curl http://${ip_address}:9090/v1/chat/completions -X POST -H "Content-Type: application/json" -d '{
-    #  "query": "Tell me about Michael Jackson song thriller"
-    # }')
-    export agent_port="9090"
-    local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py)
-    local EXIT_CODE=$(validate "$CONTENT" "Thriller" "react-agent-endpoint")
-    docker logs react-agent-endpoint
+    # # test worker sql agent
+    echo "======================Testing worker sql agent======================"
+    export agent_port="9096"
+    prompt="How many employees are there in the company?"
+    local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
+    local EXIT_CODE=$(validate "$CONTENT" "8" "sql-agent-endpoint")
+    echo $CONTENT
+    # echo $EXIT_CODE
+    local EXIT_CODE="${EXIT_CODE:0-1}"
    if [ "$EXIT_CODE" == "1" ]; then
+        docker logs sql-agent-endpoint
+        exit 1
+    fi
+
+    # test supervisor react agent
+    echo "======================Testing supervisor react agent======================"
+    export agent_port="9090"
+    prompt="How many albums does Iron Maiden have?"
+    local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
+    local EXIT_CODE=$(validate "$CONTENT" "21" "react-agent-endpoint")
+    # echo $CONTENT
+    echo $EXIT_CODE
+    local EXIT_CODE="${EXIT_CODE:0-1}"
+    if [ "$EXIT_CODE" == "1" ]; then
+        docker logs react-agent-endpoint
        exit 1
    fi

 }

+function remove_data() {
+    echo "Removing data..."
+    cd $WORKDIR
+    if [ -d "TAG-Bench" ]; then
+        rm -rf TAG-Bench
+    fi
+    echo "Data removed!"
+}
+
+function remove_chinook_data(){
+    echo "Removing chinook data..."
+    cd $WORKDIR
+    if [ -d "chinook-database" ]; then
+        rm -rf chinook-database
+    fi
+    echo "Chinook data removed!"
+}
+
 function main() {
-    echo "==================== Start TGI ===================="
-    start_tgi
-    echo "==================== TGI started ===================="
+    echo "==================== Prepare data ===================="
+    download_chinook_data
+    echo "==================== Data prepare done ===================="
+
+    echo "==================== Start VLLM service ===================="
+    start_vllm_service_70B
+    echo "==================== VLLM service started ===================="

    echo "==================== Start agent ===================="
    start_agent_and_api_server
@@ -88,4 +189,8 @@ function main() {
    echo "==================== Agent service validated ===================="
 }

+remove_data
+remove_chinook_data
 main
+remove_data
+remove_chinook_data
--- a/AgentQnA/tests/test.py
+++ b/AgentQnA/tests/test.py
@@ -1,6 +1,7 @@
 # Copyright (C) 2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0

+import argparse
 import os

 import requests
@@ -9,17 +10,47 @@ import requests
 def generate_answer_agent_api(url, prompt):
    proxies = {"http": ""}
    payload = {
-        "query": prompt,
+        "messages": prompt,
    }
    response = requests.post(url, json=payload, proxies=proxies)
    answer = response.json()["text"]
    return answer


+def process_request(url, query, is_stream=False):
+    proxies = {"http": ""}
+
+    payload = {
+        "messages": query,
+    }
+
+    try:
+        resp = requests.post(url=url, json=payload, proxies=proxies, stream=is_stream)
+        if not is_stream:
+            ret = resp.json()["text"]
+            print(ret)
+        else:
+            for line in resp.iter_lines(decode_unicode=True):
+                print(line)
+            ret = None
+
+        resp.raise_for_status()  # Raise an exception for unsuccessful HTTP status codes
+        return ret
+    except requests.exceptions.RequestException as e:
+        ret = f"An error occurred:{e}"
+        print(ret)
+        return False
+
+
 if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--prompt", type=str)
+    parser.add_argument("--stream", action="store_true")
+    args = parser.parse_args()
+
    ip_address = os.getenv("ip_address", "localhost")
-    agent_port = os.getenv("agent_port", "9095")
+    agent_port = os.getenv("agent_port", "9090")
    url = f"http://{ip_address}:{agent_port}/v1/chat/completions"
-    prompt = "Tell me about Michael Jackson song thriller"
-    answer = generate_answer_agent_api(url, prompt)
-    print(answer)
+    prompt = args.prompt
+
+    process_request(url, prompt, args.stream)
--- a/AgentQnA/tests/test_compose_on_gaudi.sh
+++ b/AgentQnA/tests/test_compose_on_gaudi.sh
@@ -1,8 +1,7 @@
 #!/bin/bash
 # Copyright (C) 2024 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
-
-set -e
+set -xe

 WORKPATH=$(dirname "$PWD")
 export WORKDIR=$WORKPATH/../../
@@ -27,7 +26,7 @@ function stop_agent_docker() {
    done
 }

-function stop_tgi(){
+function stop_llm(){
    cd $WORKPATH/docker_compose/intel/hpu/gaudi/
    container_list=$(cat tgi_gaudi.yaml | grep container_name | cut -d':' -f2)
    for container_name in $container_list; do
@@ -36,6 +35,14 @@ function stop_tgi(){
        if [[ ! -z "$cid" ]]; then docker rm $cid -f && sleep 1s; fi
    done

+    cid=$(docker ps -aq --filter "name=vllm-gaudi-server")
+    echo "Stopping container $cid"
+    if [[ ! -z "$cid" ]]; then docker rm $cid -f && sleep 1s; fi
+
+    cid=$(docker ps -aq --filter "name=test-comps-vllm-gaudi-service")
+    echo "Stopping container $cid"
+    if [[ ! -z "$cid" ]]; then docker rm $cid -f && sleep 1s; fi
+
 }

 function stop_retrieval_tool() {
@@ -52,7 +59,7 @@ function stop_retrieval_tool() {
 echo "workpath: $WORKPATH"
 echo "=================== Stop containers ===================="
 stop_crag
-stop_tgi
+stop_llm
 stop_agent_docker
 stop_retrieval_tool

@@ -78,8 +85,9 @@ echo "=================== #5 Stop agent and API server===================="
 stop_crag
 stop_agent_docker
 stop_retrieval_tool
+stop_llm
 echo "=================== #5 Agent and API server stopped===================="

 echo y | docker system prune

-echo "ALL DONE!"
+echo "ALL DONE!!"
--- a/AgentQnA/tests/test_compose_on_rocm.sh
+++ b/AgentQnA/tests/test_compose_on_rocm.sh
@@ -2,7 +2,7 @@
 # Copyright (C) 2024 Advanced Micro Devices, Inc.
 # SPDX-License-Identifier: Apache-2.0

-set -e
+set -xe

 WORKPATH=$(dirname "$PWD")
 export WORKDIR=$WORKPATH/../../
@@ -72,4 +72,4 @@ echo "=================== #5 Agent and API server stopped===================="

 echo y | docker system prune

-echo "ALL DONE!"
+echo "ALL DONE!!"
--- a/AgentQnA/tools/supervisor_agent_tools.yaml
+++ b/AgentQnA/tools/supervisor_agent_tools.yaml
@@ -2,7 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0

 search_knowledge_base:
-  description: Search knowledge base for a given query. Returns text related to the query.
+  description: Search a knowledge base for a given query. Returns text related to the query.
  callable_api: tools.py:search_knowledge_base
  args_schema:
    query:
@@ -10,6 +10,15 @@ search_knowledge_base:
      description: query
  return_output: retrieved_data

+search_artist_database:
+  description: Search a SQL database on artists and their music with a natural language query. Returns text related to the query.
+  callable_api: tools.py:search_sql_database
+  args_schema:
+    query:
+      type: str
+      description: natural language query
+  return_output: retrieved_data
+
 get_artist_birth_place:
  description: Get the birth place of an artist.
  callable_api: tools.py:get_artist_birth_place
--- a/AgentQnA/tools/tools.py
+++ b/AgentQnA/tools/tools.py
@@ -8,13 +8,30 @@ from tools.pycragapi import CRAG


 def search_knowledge_base(query: str) -> str:
-    """Search the knowledge base for a specific query."""
-    # use worker agent (DocGrader) to search the knowledge base
+    """Search a knowledge base about music and singers for a given query.
+
+    Returns text related to the query.
+    """
    url = os.environ.get("WORKER_AGENT_URL")
    print(url)
    proxies = {"http": ""}
    payload = {
-        "query": query,
+        "messages": query,
+    }
+    response = requests.post(url, json=payload, proxies=proxies)
+    return response.json()["text"]
+
+
+def search_sql_database(query: str) -> str:
+    """Search a SQL database on artists and their music with a natural language query.
+
+    Returns text related to the query.
+    """
+    url = os.environ.get("SQL_AGENT_URL")
+    print(url)
+    proxies = {"http": ""}
+    payload = {
+        "messages": query,
    }
    response = requests.post(url, json=payload, proxies=proxies)
    return response.json()["text"]
--- a/AgentQnA/tools/worker_agent_tools.py
+++ b/AgentQnA/tools/worker_agent_tools.py
@@ -12,7 +12,7 @@ def search_knowledge_base(query: str) -> str:
    print(url)
    proxies = {"http": ""}
    payload = {
-        "messages": query,
+        "text": query,
    }
    response = requests.post(url, json=payload, proxies=proxies)
    print(response)
--- a/AgentQnA/ui/docker/Dockerfile
+++ b/AgentQnA/ui/docker/Dockerfile
@@ -0,0 +1,26 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+# Use node 20.11.1 as the base image
+FROM node:20.11.1
+
+# Update package manager and install Git
+RUN apt-get update -y && apt-get install -y git
+
+# Copy the front-end code repository
+COPY svelte /home/user/svelte
+
+# Set the working directory
+WORKDIR /home/user/svelte
+
+# Install front-end dependencies
+RUN npm install
+
+# Build the front-end application
+RUN npm run build
+
+# Expose the port of the front-end application
+EXPOSE 5173
+
+# Run the front-end application in preview mode
+CMD ["npm", "run", "preview", "--", "--port", "5173", "--host", "0.0.0.0"]
--- a/AgentQnA/ui/svelte/.editorconfig
+++ b/AgentQnA/ui/svelte/.editorconfig
@@ -0,0 +1,10 @@
+[*]
+indent_style = tab
+
+[package.json]
+indent_style = space
+indent_size = 2
+
+[*.md]
+indent_style = space
+indent_size = 2
--- a/AgentQnA/ui/svelte/.env
+++ b/AgentQnA/ui/svelte/.env
@@ -0,0 +1 @@
+AGENT_URL = '/v1/chat/completions'
--- a/AgentQnA/ui/svelte/.eslintignore
+++ b/AgentQnA/ui/svelte/.eslintignore
@@ -0,0 +1,13 @@
+.DS_Store
+node_modules
+/build
+/.svelte-kit
+/package
+.env
+.env.*
+!.env.example
+
+# Ignore files for PNPM, NPM and YARN
+pnpm-lock.yaml
+package-lock.json
+yarn.lock
--- a/AgentQnA/ui/svelte/.eslintrc.cjs
+++ b/AgentQnA/ui/svelte/.eslintrc.cjs
@@ -0,0 +1,20 @@
+module.exports = {
+	root: true,
+	parser: "@typescript-eslint/parser",
+	extends: ["eslint:recommended", "plugin:@typescript-eslint/recommended", "prettier"],
+	plugins: ["svelte3", "@typescript-eslint", "neverthrow"],
+	ignorePatterns: ["*.cjs"],
+	overrides: [{ files: ["*.svelte"], processor: "svelte3/svelte3" }],
+	settings: {
+		"svelte3/typescript": () => require("typescript"),
+	},
+	parserOptions: {
+		sourceType: "module",
+		ecmaVersion: 2020,
+	},
+	env: {
+		browser: true,
+		es2017: true,
+		node: true,
+	},
+};
--- a/AgentQnA/ui/svelte/.prettierignore
+++ b/AgentQnA/ui/svelte/.prettierignore
@@ -0,0 +1,13 @@
+.DS_Store
+node_modules
+/build
+/.svelte-kit
+/package
+.env
+.env.*
+!.env.example
+
+# Ignore files for PNPM, NPM and YARN
+pnpm-lock.yaml
+package-lock.json
+yarn.lock
--- a/AgentQnA/ui/svelte/.prettierrc
+++ b/AgentQnA/ui/svelte/.prettierrc
@@ -0,0 +1,13 @@
+{
+	"pluginSearchDirs": [
+		"."
+	],
+	"overrides": [
+		{
+			"files": "*.svelte",
+			"options": {
+				"parser": "svelte"
+			}
+		}
+	]
+}
--- a/AgentQnA/ui/svelte/README.md
+++ b/AgentQnA/ui/svelte/README.md
@@ -0,0 +1,60 @@
+# AgentQnA
+
+## 📸 Project Screenshots
+
+![project-screenshot](../../assets/img/agent_ui.png)
+![project-screenshot](../../assets/img/agent_ui_result.png)
+
+## 🧐 Features
+
+Here're some of the project's features:
+
+- Create Agent：Provide more precise answers based on user queries, showcase the high-quality output process of complex queries across different dimensions, and consolidate information to present comprehensive answers.
+
+## 🛠️ Get it Running
+
+1. Clone the repo.
+
+2. cd command to the current folder.
+
+   ```
+   cd AgentQnA/ui
+   ```
+
+3. Modify the required .env variables.
+
+   ```
+   AGENT_URL = ''
+   ```
+
+4. **For Local Development:**
+
+- Install the dependencies:
+
+  ```
+  npm install
+  ```
+
+- Start the development server:
+
+  ```
+  npm run dev
+  ```
+
+- The application will be available at `http://localhost:3000`.
+
+5. **For Docker Setup:**
+
+- Build the Docker image:
+
+  ```
+  docker build -t opea:agent-ui .
+  ```
+
+- Run the Docker container:
+
+  ```
+  docker run -d -p 3000:3000 --name agent-ui opea:agent-ui
+  ```
+
+- The application will be available at `http://localhost:3000`.
--- a/AgentQnA/ui/svelte/package.json
+++ b/AgentQnA/ui/svelte/package.json
@@ -0,0 +1,60 @@
+{
+  "name": "agent-example",
+  "version": "0.0.1",
+  "private": true,
+  "scripts": {
+    "dev": "vite dev --host 0.0.0.0",
+    "build": "vite build",
+    "preview": "vite preview",
+    "check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
+    "check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch",
+    "lint": "prettier --check . && eslint .",
+    "format": "prettier --write ."
+  },
+  "devDependencies": {
+    "@fortawesome/free-solid-svg-icons": "6.2.0",
+    "@sveltejs/adapter-auto": "1.0.0-next.75",
+    "@sveltejs/kit": "^1.20.1",
+    "@tailwindcss/typography": "0.5.7",
+    "@types/debug": "4.1.7",
+    "@typescript-eslint/eslint-plugin": "^5.27.0",
+    "@typescript-eslint/parser": "^5.27.0",
+    "autoprefixer": "^10.4.7",
+    "daisyui": "^2.52.0",
+    "debug": "4.3.4",
+    "eslint": "^8.16.0",
+    "eslint-config-prettier": "^8.3.0",
+    "eslint-plugin-neverthrow": "1.1.4",
+    "eslint-plugin-svelte3": "^4.0.0",
+    "neverthrow": "5.0.0",
+    "pocketbase": "0.7.0",
+    "postcss": "^8.4.23",
+    "postcss-load-config": "^4.0.1",
+    "postcss-preset-env": "^8.3.2",
+    "prettier": "^2.8.8",
+    "prettier-plugin-svelte": "^2.7.0",
+    "prettier-plugin-tailwindcss": "^0.3.0",
+    "svelte": "^3.59.1",
+    "svelte-check": "^2.7.1",
+    "svelte-fa": "3.0.3",
+    "svelte-preprocess": "^4.10.7",
+    "tailwindcss": "^3.1.5",
+    "ts-pattern": "4.0.5",
+    "tslib": "^2.3.1",
+    "typescript": "^4.7.4",
+    "vite": "^4.3.9"
+  },
+  "type": "module",
+  "dependencies": {
+    "@heroicons/vue": "^2.1.5",
+    "echarts": "^5.4.2",
+    "flowbite-svelte": "^0.38.5",
+    "flowbite-svelte-icons": "^0.3.6",
+    "fuse.js": "^6.6.2",
+    "marked": "^15.0.0",
+    "ramda": "^0.29.0",
+    "sjcl": "^1.0.8",
+    "sse.js": "^0.6.1",
+    "svelte-notifications": "^0.9.98"
+  }
+}
--- a/AgentQnA/ui/svelte/postcss.config.cjs
+++ b/AgentQnA/ui/svelte/postcss.config.cjs
@@ -0,0 +1,13 @@
+const tailwindcss = require("tailwindcss");
+const autoprefixer = require("autoprefixer");
+
+const config = {
+	plugins: [
+		//Some plugins, like tailwindcss/nesting, need to run before Tailwind,
+		tailwindcss(),
+		//But others, like autoprefixer, need to run after,
+		autoprefixer,
+	],
+};
+
+module.exports = config;
--- a/AgentQnA/ui/svelte/src/app.d.ts
+++ b/AgentQnA/ui/svelte/src/app.d.ts
@@ -0,0 +1,50 @@
+// Copyright (C) 2025 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+// See: https://kit.svelte.dev/docs/types#app
+// import { Result} from "neverthrow";
+
+declare namespace App {
+	interface Locals {
+		user?: User;
+	}
+	// interface PageData { }
+	// interface PageError {}
+	// interface Platform {}
+}
+
+interface User {
+	id?: string;
+	email: string;
+	password?: string;
+	token?: string;
+	[key: string]: any;
+}
+
+type AuthResponse = Result<User>;
+
+interface AuthAdapter {
+	login(props: { email: string; password: string }): Promise<AuthResponse>;
+	signup(props: { email: string; password: string; password_confirm: string }): Promise<AuthResponse>;
+	validate_session(props: { token: string }): Promise<AuthResponse>;
+	logout(props: { token: string; email: string }): Promise<Result<void>>;
+	forgotPassword(props: { email: string; password: string }): Promise<Result<void>>;
+}
+
+interface ChatAdapter {
+	modelList(props: {}): Promise<Result<void>>;
+	txt2img(props: {}): Promise<Result<void>>;
+}
+
+interface ChatMessage {
+	role: string;
+	content: string;
+}
+
+interface ChatMessageType {
+	model: string;
+	knowledge: string;
+	temperature: string;
+	max_new_tokens: string;
+	topk: string;
+}
--- a/AgentQnA/ui/svelte/src/app.html
+++ b/AgentQnA/ui/svelte/src/app.html
@@ -0,0 +1,17 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<!doctype html>
+<html lang="en">
+	<head>
+		<meta charset="utf-8" />
+		<link rel="icon" href="%sveltekit.assets%/favicon.png" />
+		<meta name="viewport" content="width=device-width" />
+		%sveltekit.head%
+	</head>
+	<body>
+		<div>%sveltekit.body%</div>
+	</body>
+</html>
--- a/AgentQnA/ui/svelte/src/app.postcss
+++ b/AgentQnA/ui/svelte/src/app.postcss
@@ -0,0 +1,82 @@
+/* Write your global styles here, in PostCSS syntax */
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+.btn {
+	@apply flex-nowrap;
+}
+a.btn {
+	@apply no-underline;
+}
+.input {
+	@apply text-base;
+}
+
+.bg-dark-blue {
+	background-color: #004a86;
+}
+
+.bg-light-blue {
+	background-color: #0068b5;
+}
+
+.bg-turquoise {
+	background-color: #00a3f6;
+}
+
+.bg-header {
+	background-color: #ffffff;
+}
+
+.bg-button {
+	background-color: #0068b5;
+}
+
+.bg-title {
+	background-color: #f7f7f7;
+}
+
+.text-header {
+	color: #0068b5;
+}
+
+.text-button {
+	color: #0071c5;
+}
+
+.text-title-color {
+	color: rgb(38,38,38);
+}
+
+.font-intel {
+	font-family: "intel-clear","tahoma",Helvetica,"helvetica",Arial,sans-serif;
+}
+
+.font-title-intel {
+	font-family: "intel-one","intel-clear",Helvetica,Arial,sans-serif;
+}
+
+.bg-footer {
+	background-color: #e7e7e7;
+}
+
+.bg-light-green {
+	background-color: #d7f3a1;
+}
+
+.bg-purple {
+	background-color: #653171;
+}
+
+.bg-dark-blue {
+	background-color: #224678;
+}
+
+.border-input-color {
+	border-color: #605e5c;
+}
+
+.w-12\/12 {
+	width: 100%
+}
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/createSub.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/createSub.svelte
@@ -0,0 +1,25 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1731984271860"
+	class="w-8 h-8"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	p-id="11418"
+	width="200"
+	height="200"
+	><path
+		d="M0 0m170.666667 0l682.666666 0q170.666667 0 170.666667 170.666667l0 682.666666q0 170.666667-170.666667 170.666667l-682.666666 0q-170.666667 0-170.666667-170.666667l0-682.666666q0-170.666667 170.666667-170.666667Z"
+		fill="#1890FF"
+		fill-opacity=".1"
+		p-id="11419"
+	/><path
+		d="M404.352 552.661333a63.018667 63.018667 0 1 0 0-125.994666 63.018667 63.018667 0 0 0 0 125.994666z m0 213.333334a63.018667 63.018667 0 1 0 0-125.994667 63.018667 63.018667 0 0 0 0 125.994667z m-213.333333-426.666667a63.018667 63.018667 0 1 0 0-125.994667 63.018667 63.018667 0 0 0 0 125.994667z m669.653333-10.88H376.362667a35.669333 35.669333 0 0 1-35.114667-36.096c0-19.882667 15.786667-36.096 35.114667-36.096h484.394666c19.370667 0 35.157333 16.213333 35.157334 36.096a35.669333 35.669333 0 0 1-35.242667 36.096z m16.384 213.034667h-260.821333c-10.410667 0-18.901333-16.213333-18.901334-36.096 0-19.925333 8.490667-36.138667 18.901334-36.138667h260.864c10.410667 0 18.901333 16.213333 18.901333 36.138667-0.042667 19.882667-8.490667 36.096-18.944 36.096z m0 212.992h-260.821333c-10.410667 0-18.901333-16.213333-18.901334-36.096 0-19.925333 8.490667-36.096 18.901334-36.096h260.864c10.410667 0 18.901333 16.213333 18.901333 36.096-0.042667 19.882667-8.490667 36.096-18.944 36.096z"
+		fill="#1890FF"
+		p-id="11420"
+	/></svg
+>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/download.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/download.svelte
@@ -0,0 +1,9 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg class="w-3.5 h-3.5 me-2.5" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+    <path d="M14.707 7.793a1 1 0 0 0-1.414 0L11 10.086V1.5a1 1 0 0 0-2 0v8.586L6.707 7.793a1 1 0 1 0-1.414 1.414l4 4a1 1 0 0 0 1.416 0l4-4a1 1 0 0 0-.002-1.414Z"/>
+    <path d="M18 12h-2.55l-2.975 2.975a3.5 3.5 0 0 1-4.95 0L4.55 12H2a2 2 0 0 0-2 2v4a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-4a2 2 0 0 0-2-2Zm-3 5a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"/>
+  </svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/eye.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/eye.svelte
@@ -0,0 +1,16 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+						class="me-2 h-3 w-3"
+						aria-hidden="true"
+						xmlns="http://www.w3.org/2000/svg"
+						fill="currentColor"
+						viewBox="0 0 20 14"
+					>
+						<path
+							d="M10 0C4.612 0 0 5.336 0 7c0 1.742 3.546 7 10 7 6.454 0 10-5.258 10-7 0-1.664-4.612-7-10-7Zm0 10a3 3 0 1 1 0-6 3 3 0 0 1 0 6Z"
+						/>
+					</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/newAI.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/newAI.svelte
@@ -0,0 +1,97 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<!-- <svg class="h-11 w-11 flex-none overflow-visible" fill="none"
+	><defs
+		><filter
+			id="step-icon-2"
+			x="-3"
+			y="-1"
+			width="50"
+			height="50"
+			filterUnits="userSpaceOnUse"
+			color-interpolation-filters="sRGB"
+			><feFlood flood-opacity="0" result="BackgroundImageFix" /><feColorMatrix
+				in="SourceAlpha"
+				values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0"
+				result="hardAlpha"
+			/><feOffset dy="2" /><feGaussianBlur stdDeviation="2.5" /><feComposite
+				in2="hardAlpha"
+				operator="out"
+			/><feColorMatrix
+				values="0 0 0 0 0.054902 0 0 0 0 0.647059 0 0 0 0 0.913725 0 0 0 0.12 0"
+			/><feBlend
+				in2="BackgroundImageFix"
+				result="effect1_dropShadow_804_95228"
+			/><feBlend
+				in="SourceGraphic"
+				in2="effect1_dropShadow_804_95228"
+				result="shape"
+			/></filter
+		></defs
+	><g filter="url(#step-icon-2)"
+		><path
+			d="M2.75 10A7.25 7.25 0 0 1 10 2.75h24A7.25 7.25 0 0 1 41.25 10v24A7.25 7.25 0 0 1 34 41.25H10A7.25 7.25 0 0 1 2.75 34V10Z"
+			fill="#EEF2FF"
+		/><path
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--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/resource.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/resource.svelte
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+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg class="h-5 w-5 flex-shrink-0 text-[#1d4dd5]" viewBox="0 0 20 20" fill="currentColor" aria-hidden="true" data-slot="icon">
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+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/search.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/search.svelte
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+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+			class="pointer-events-none absolute left-0 ml-4 hidden h-4 w-4 fill-current text-gray-500 group-hover:text-gray-400 sm:block"
+			xmlns="http://www.w3.org/2000/svg"
+			viewBox="0 0 20 20"
+			><path
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+			/></svg
+		>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/searchDelete.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/searchDelete.svelte
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+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
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+				class="relative h-5 w-5"
+				stroke-linecap="round"
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+				stroke="currentColor"
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+				><path
+					d="M10 14l2-2m0 0l2-2m-2 2l-2-2m2 2l2 2m7-2a9 9 0 11-18 0 9 9 0 0118 0z"
+				/></svg
+			>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/searchResult.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/searchResult.svelte
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+<!--
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+  SPDX-License-Identifier: Apache-2.0
+-->
+
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+>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/star.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/star.svelte
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--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/summary.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/summary.svelte
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+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/taskIcon.svelte
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+  SPDX-License-Identifier: Apache-2.0
+-->
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+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/taskResult.svelte
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+<!--
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+  SPDX-License-Identifier: Apache-2.0
+-->
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+		fill="#FFFFFF"
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+>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/time.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/time.svelte
@@ -0,0 +1,8 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg class="w-2.5 h-2.5 text-blue-800 dark:text-blue-300" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
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+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/Agent/toolIcon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/Agent/toolIcon.svelte
@@ -0,0 +1,36 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1731987374334"
+	class="w-4 h-4"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
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+	width="200"
+	height="200"
+	><path
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+		fill="#89BAF7"
+		p-id="47098"
+	/><path
+		d="M210.488889 471.210667m35.043555 0l349.923556 0q35.043556 0 35.043556 35.043555l0 0.056889q0 35.043556-35.043556 35.043556l-349.923556 0q-35.043556 0-35.043555-35.043556l0-0.056889q0-35.043556 35.043555-35.043555Z"
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+		fill="#89BAF7"
+		p-id="47100"
+	/><path
+		d="M436.565333 982.186667h-261.176889a175.559111 175.559111 0 0 1-175.331555-175.388445v-631.466666a175.559111 175.559111 0 0 1 175.331555-175.388445h490.951112a175.559111 175.559111 0 0 1 175.331555 175.388445v278.016a35.100444 35.100444 0 1 1-70.144 0v-278.016a105.358222 105.358222 0 0 0-105.187555-105.244445h-490.951112a105.358222 105.358222 0 0 0-105.187555 105.244445v631.466666a105.358222 105.358222 0 0 0 105.187555 105.244445h261.176889a35.100444 35.100444 0 0 1 0 70.144z"
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--- a/AgentQnA/ui/svelte/src/lib/assets/icons/ActiveDislikeButtonIcon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/ActiveDislikeButtonIcon.svelte
@@ -0,0 +1,28 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1699532005309"
+	class="icon"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	p-id="31791"
+	width="1rem"
+	height="1rem"
+	><path
+		d="M505.088 513.1264m-450.816 0a450.816 450.816 0 1 0 901.632 0 450.816 450.816 0 1 0-901.632 0Z"
+		fill="#e02424"
+		p-id="31792"
+		data-spm-anchor-id="a313x.search_index.0.i28.33343a81AAN1qI"
+		class="selected"
+	/><path
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+		data-spm-anchor-id="a313x.search_index.0.i26.33343a81AAN1qI"
+		class=""
+	/></svg
+>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/ActiveLikeButtonIcon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/ActiveLikeButtonIcon.svelte
@@ -0,0 +1,24 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1699531880178"
+	class="icon"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	p-id="26552"
+	width="1rem"
+	height="1rem"
+	><path
+		d="M505.088 513.1264m-450.816 0a450.816 450.816 0 1 0 901.632 0 450.816 450.816 0 1 0-901.632 0Z"
+		fill="#FFBC42"
+		p-id="26553"
+	/><path
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+		fill="#FFFFFF"
+		p-id="26554"
+	/></svg
+>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/Folder.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/Folder.svelte
@@ -0,0 +1,28 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1697617760586"
+	class="h-10 w-10"
+	viewBox="0 0 1024 1024"
+	version="1.1"
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+	p-id="5216"
+	width="200"
+	height="200"
+	><path
+		d="M826.9 461.6h-723v391.5c0 21.7 17.7 39.4 39.4 39.4h677c4.1-6.4 6.6-14.1 6.6-22.3V461.6zM826.9 422.3v-64.7c0-22.9-18.6-41.6-41.6-41.6H340l-32.7-61.2c-7.2-13.5-21.3-22-36.7-22H134.9c-12.4 0-23.4 5.5-31 14.2v175.2l723 0.1z"
+		fill="#FFD524"
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+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/Knowledge.svelte
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+  SPDX-License-Identifier: Apache-2.0
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+	height="200"
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+		fill="#ED5564"
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+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/NoTranslate.svelte
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+  SPDX-License-Identifier: Apache-2.0
+-->
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+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/OldHelp.svelte
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+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/Question.svelte
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--- a/AgentQnA/ui/svelte/src/lib/assets/icons/addKnowledge.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/addKnowledge.svelte
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+-->
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--- a/AgentQnA/ui/svelte/src/lib/assets/icons/adminKnowledge.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/adminKnowledge.svelte
@@ -0,0 +1,229 @@
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+		d="M739.555556 45.511111h73.955555c12.515556 0 22.755556 10.24 22.755556 22.755556v73.955555c0 12.515556-10.24 22.755556-22.755556 22.755556h-73.955555c-12.515556 0-22.755556-10.24-22.755556-22.755556V68.266667c0-12.515556 10.24-22.755556 22.755556-22.755556z"
+		fill="#4598F0"
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+	/><path
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+		fill="#4598F0"
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+	/><path
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+		fill="#4598F0"
+		p-id="33833"
+	/><path
+		d="M593.351111 267.946667V284.444444c0 4.551111 3.982222 8.533333 8.533333 8.533334h26.737778c4.551111 0 8.533333-3.982222 8.533334-8.533334v-16.497777c0-4.551111-3.982222-8.533333-8.533334-8.533334h-26.737778c-4.551111 0-8.533333 3.982222-8.533333 8.533334zM652.515556 267.946667c2.275556-1.706667 4.551111-1.137778 4.551111 2.275555v11.946667c0 3.413333-2.275556 3.982222-4.551111 2.275555l-6.257778-4.551111c-2.275556-1.706667-2.275556-5.12 0-6.826666l6.257778-5.12z"
+		fill="#4598F0"
+		p-id="33834"
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+>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/arrow-path-icon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/arrow-path-icon.svelte
@@ -0,0 +1,25 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<script lang="ts">
+  export let overrideClasses = '';
+
+  const classes = overrideClasses ? overrideClasses : 'w-4 h-4 text-gray-500';
+</script>
+
+<svg
+  class={classes}
+  xmlns="http://www.w3.org/2000/svg"
+  fill="none"
+  viewBox="0 0 24 24"
+  stroke-width="1.5"
+  stroke="currentColor"
+>
+  <path
+    stroke-linecap="round"
+    stroke-linejoin="round"
+    d="M16.023 9.348h4.992v-.001M2.985 19.644v-4.992m0 0h4.992m-4.993 0l3.181 3.183a8.25 8.25 0 0013.803-3.7M4.031 9.865a8.25 8.25 0 0113.803-3.7l3.181 3.182m0-4.991v4.99"
+  />
+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/assistant.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/assistant.svelte
@@ -0,0 +1,33 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	width="45"
+	height="45"
+	viewBox="0 0 48 48"
+	fill="none"
+	xmlns="http://www.w3.org/2000/svg"
+>
+	<g clip-path="url(#clip0_16_93)">
+		<rect x="0.5" y="0.238312" width="47" height="47" fill="#0068B5" />
+		<path
+			d="M39.51 0.238312H8.49C4.0955 0.238312 0.5 3.83381 0.5 8.22831V39.2483C0.5 43.6428 4.0955 47.2383 8.49 47.2383H39.51C43.9045 47.2383 47.5 43.6428 47.5 39.2483V8.22831C47.5 3.83381 43.9045 0.238312 39.51 0.238312ZM44.915 39.2483C44.915 42.2328 42.4945 44.6533 39.51 44.6533H8.49C5.5055 44.6533 3.085 42.2328 3.085 39.2483V8.22831C3.085 5.24381 5.5055 2.82331 8.49 2.82331H39.51C42.4945 2.82331 44.915 5.24381 44.915 8.22831V39.2483Z"
+			fill="#0068B5"
+		/>
+		<path
+			d="M9.52393 21.3178H11.7094L11.7094 29.3548H9.52393V21.3178ZM20.3574 22.2108C20.1694 21.9523 19.8874 21.7408 19.4879 21.5763C19.1119 21.4118 18.6889 21.3178 18.2424 21.3178C17.2084 21.3178 16.3389 21.7643 15.6574 22.6338V21.4823H13.7304V29.3078H15.7984V25.7593C15.7984 24.8898 15.8454 24.2788 15.9629 23.9498C16.0569 23.6208 16.2684 23.3623 16.5504 23.1743C16.8324 22.9863 17.1614 22.8688 17.5139 22.8688C17.7959 22.8688 18.0309 22.9393 18.2424 23.0803C18.4304 23.2213 18.5949 23.4093 18.6654 23.6678C18.7594 23.9263 18.8064 24.4668 18.8064 25.3128V29.3078H20.8744V24.4433C20.8744 23.8323 20.8274 23.3858 20.7569 23.0568C20.6864 22.7513 20.5689 22.4693 20.3574 22.2108ZM25.7389 27.8038C25.5979 27.8038 25.4804 27.7803 25.3864 27.7098C25.2924 27.6393 25.2219 27.5453 25.1984 27.4513C25.1749 27.3573 25.1514 26.9813 25.1514 26.3233V23.1508H26.5614V21.5058H25.1514V18.7563L23.0834 19.9548V21.5058V23.1508V26.5583C23.0834 27.2868 23.1069 27.7803 23.1539 28.0153C23.2009 28.3443 23.2949 28.6263 23.4359 28.8143C23.5769 29.0023 23.7884 29.1668 24.0939 29.3078C24.3994 29.4253 24.7284 29.4958 25.1044 29.4958C25.7154 29.4958 26.2559 29.4018 26.7494 29.1903L26.5614 27.5923C26.2089 27.7333 25.9269 27.8038 25.7389 27.8038ZM33.7524 22.4928C33.0709 21.7173 32.1544 21.3413 31.0029 21.3413C29.9689 21.3413 29.0994 21.7173 28.4414 22.4458C27.7599 23.1743 27.4309 24.1848 27.4309 25.5008C27.4309 26.5818 27.6894 27.4748 28.2064 28.2033C28.8644 29.0963 29.8749 29.5428 31.2379 29.5428C32.1074 29.5428 32.8124 29.3548 33.3764 28.9553C33.9404 28.5558 34.3634 27.9918 34.6219 27.2163L32.5539 26.8638C32.4364 27.2633 32.2719 27.5453 32.0604 27.7098C31.8489 27.8743 31.5669 27.9683 31.2379 27.9683C30.7679 27.9683 30.3684 27.8038 30.0394 27.4513C29.7104 27.0988 29.5459 26.6288 29.5459 26.0178H34.7394C34.7394 24.4433 34.4339 23.2448 33.7524 22.4928ZM29.5694 24.7488C29.5694 24.1848 29.7104 23.7383 29.9924 23.4093C30.2979 23.0803 30.6504 22.9158 31.1204 22.9158C31.5434 22.9158 31.8959 23.0803 32.2014 23.3858C32.5069 23.6913 32.6479 24.1613 32.6714 24.7488H29.5694ZM36.4079 18.5448H38.4759V29.3548H36.4079V18.5448Z"
+			fill="white"
+		/>
+		<path
+			d="M9.52393 18.5448H11.7094L11.7094 20.5654H9.52393V18.5448ZM39.2058 53.1889C59.7131 70.5741 37.9465 53.1367 37.547 52.9722C60.5267 71.228 41.5876 53.1889 41.1411 53.1889C40.1071 53.1889 54.2638 57.2959 53.5823 58.1654L44.3775 54.0099L42.8 56.0803L44.9335 56.0763L43.617 55.1029L49.2888 57.4321C49.2888 56.5626 69.0838 68.5409 41.665 52.9722C67.9574 69.2353 48.7539 58.3534 49.0359 58.1654C49.3179 57.9774 72.2331 77.3305 48.0529 59.0448C73.8431 77.373 40.6532 52.2185 40.8647 52.3595C64.5928 69.3279 66.2469 69.734 44.0477 53.3531C68.4587 70.8049 45.1808 54.42 45.1808 55.266L49.6436 57.6191L50.8176 56.2254L46.645 54.7317C46.645 54.1207 47.0599 55.184 46.9894 54.855C46.9189 54.5495 63.0924 72.6928 39.2058 53.1889ZM45.3834 56.0442C45.2424 56.0442 60.49 64.1373 43.0764 53.1889C59.6606 67.1938 58.0346 62.1756 40.8647 50.7007C58.8678 64.6804 43.7296 53.3942 43.7296 52.7362L43.617 55.1029L43.3529 52.3595L44.7353 53.7418L43.0764 53.1889L44.244 54.855L46.1176 55.6771L42.8 57.336L45.5647 53.1889L41.9705 49.5948L46.1176 55.1029L46.3941 55.6771C46.3941 56.4056 44.3403 54.3363 44.3873 54.5713C65.2775 66.4664 68.0297 70.4029 45.348 56.6803C69.965 73.7705 43.9793 55.5361 44.2848 55.6771C44.5903 55.7946 60.4832 66.2088 41.9705 53.7418C42.5815 53.7418 44.8545 53.1837 45.348 52.9722L43.7511 52.3595C43.3986 52.5005 45.5714 56.0442 45.3834 56.0442ZM44.0342 56.5108C43.3527 55.7353 45.3338 56.783 44.1823 56.783C43.1483 56.783 44.9043 55.6048 44.2463 56.3333C43.5648 57.0618 43.7511 51.0435 43.7511 52.3595C43.7511 53.4405 43.6653 53.0133 44.1823 53.7418C44.8403 54.6348 41.7134 54.2598 43.0764 54.2598C43.9459 54.2598 43.4702 56.9103 44.0342 56.5108C44.5982 56.1113 44.1288 57.5428 44.3873 56.7673L43.7511 56.2254C55.3795 71.8986 44.3938 54.9384 44.1823 55.1029C43.9708 55.2674 44.0801 54.2598 43.7511 54.2598C56.2643 69.3767 58.4567 71.4935 44.1823 55.1029C57.894 68.7712 44.3873 57.3783 44.3873 56.7673L44.1823 56.945C44.1823 55.3705 44.7157 57.2628 44.0342 56.5108ZM44.3873 54.5713C44.3873 54.0073 43.7522 56.8398 44.0342 56.5108C44.3397 56.1818 43.495 56.2254 43.965 56.2254C44.388 56.2254 55.4258 75.7185 43.7511 56.2254C44.0566 56.5309 44.1588 56.1955 44.1823 56.783L44.3873 54.5713Z"
+			fill="#00C7FD"
+		/>
+	</g>
+	<defs>
+		<clipPath id="clip0_16_93">
+			<rect x="0.5" y="0.238312" width="47" height="47" fill="white" />
+		</clipPath>
+	</defs>
+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/chat-bubble-left-icon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/chat-bubble-left-icon.svelte
@@ -0,0 +1,25 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<script lang="ts">
+  export let overrideClasses = '';
+
+  const classes = overrideClasses ? overrideClasses : `w-6 h-6`;
+</script>
+
+<svg
+  class={classes}
+  xmlns="http://www.w3.org/2000/svg"
+  fill="none"
+  viewBox="0 0 24 24"
+  stroke-width="1.5"
+  stroke="currentColor"
+>
+  <path
+    stroke-linecap="round"
+    stroke-linejoin="round"
+    d="M2.25 12.76c0 1.6 1.123 2.994 2.707 3.227 1.087.16 2.185.283 3.293.369V21l4.076-4.076a1.526 1.526 0 011.037-.443 48.282 48.282 0 005.68-.494c1.584-.233 2.707-1.626 2.707-3.228V6.741c0-1.602-1.123-2.995-2.707-3.228A48.394 48.394 0 0012 3c-2.392 0-4.744.175-7.043.513C3.373 3.746 2.25 5.14 2.25 6.741v6.018z"
+  />
+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/chat.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/chat.svelte
@@ -0,0 +1,6 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg class="w-6 h-6" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" fill="#797a9f"><path d="M512 64c259.2 0 469.333333 200.576 469.333333 448s-210.133333 448-469.333333 448a484.48 484.48 0 0 1-232.725333-58.88l-116.394667 50.645333a42.666667 42.666667 0 0 1-58.517333-49.002666l29.76-125.013334C76.629333 703.402667 42.666667 611.477333 42.666667 512 42.666667 264.576 252.8 64 512 64z m0 64C287.488 128 106.666667 300.586667 106.666667 512c0 79.573333 25.557333 155.434667 72.554666 219.285333l5.525334 7.317334 18.709333 24.192-26.965333 113.237333 105.984-46.08 27.477333 15.018667C370.858667 878.229333 439.978667 896 512 896c224.512 0 405.333333-172.586667 405.333333-384S736.512 128 512 128z m-157.696 341.333333a42.666667 42.666667 0 1 1 0 85.333334 42.666667 42.666667 0 0 1 0-85.333334z m159.018667 0a42.666667 42.666667 0 1 1 0 85.333334 42.666667 42.666667 0 0 1 0-85.333334z m158.997333 0a42.666667 42.666667 0 1 1 0 85.333334 42.666667 42.666667 0 0 1 0-85.333334z"></path></svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/check-icon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/check-icon.svelte
@@ -0,0 +1,25 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<script lang="ts">
+  export let overrideClasses = '';
+
+  const classes = overrideClasses ? overrideClasses : `w-6 h-6`;
+</script>
+
+<svg
+  class={classes}
+  xmlns="http://www.w3.org/2000/svg"
+  fill="none"
+  viewBox="0 0 24 24"
+  stroke-width="1.5"
+  stroke="currentColor"
+>
+  <path
+    stroke-linecap="round"
+    stroke-linejoin="round"
+    d="M4.5 12.75l6 6 9-13.5"
+  />
+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/csv.svg
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/csv.svg
@@ -0,0 +1,12 @@
+<svg height="64" viewBox="0 0 56 64" width="56" xmlns="http://www.w3.org/2000/svg">
+    <path clip-rule="evenodd"
+        d="m5.106 0c-2.802 0-5.073 2.272-5.073 5.074v53.841c0 2.803 2.271 5.074 5.073 5.074h45.774c2.801 0 5.074-2.271 5.074-5.074v-38.605l-18.903-20.31h-31.945z"
+        fill="#45b058" fill-rule="evenodd" />
+    <path
+        d="m20.306 43.197c.126.144.198.324.198.522 0 .378-.306.72-.703.72-.18 0-.378-.072-.504-.234-.702-.846-1.891-1.387-3.007-1.387-2.629 0-4.627 2.017-4.627 4.88 0 2.845 1.999 4.879 4.627 4.879 1.134 0 2.25-.486 3.007-1.369.125-.144.324-.233.504-.233.415 0 .703.359.703.738 0 .18-.072.36-.198.504-.937.972-2.215 1.693-4.015 1.693-3.457 0-6.176-2.521-6.176-6.212s2.719-6.212 6.176-6.212c1.8.001 3.096.721 4.015 1.711zm6.802 10.714c-1.782 0-3.187-.594-4.213-1.495-.162-.144-.234-.342-.234-.54 0-.361.27-.757.702-.757.144 0 .306.036.432.144.828.739 1.98 1.314 3.367 1.314 2.143 0 2.827-1.152 2.827-2.071 0-3.097-7.112-1.386-7.112-5.672 0-1.98 1.764-3.331 4.123-3.331 1.548 0 2.881.467 3.853 1.278.162.144.252.342.252.54 0 .36-.306.72-.703.72-.144 0-.306-.054-.432-.162-.882-.72-1.98-1.044-3.079-1.044-1.44 0-2.467.774-2.467 1.909 0 2.701 7.112 1.152 7.112 5.636.001 1.748-1.187 3.531-4.428 3.531zm16.994-11.254-4.159 10.335c-.198.486-.685.81-1.188.81h-.036c-.522 0-1.008-.324-1.207-.81l-4.142-10.335c-.036-.09-.054-.18-.054-.288 0-.36.323-.793.81-.793.306 0 .594.18.72.486l3.889 9.992 3.889-9.992c.108-.288.396-.486.72-.486.468 0 .81.378.81.793.001.09-.017.198-.052.288z"
+        fill="#fff" />
+    <g clip-rule="evenodd" fill-rule="evenodd">
+        <path d="m56.001 20.357v1h-12.8s-6.312-1.26-6.128-6.707c0 0 .208 5.707 6.003 5.707z" fill="#349c42" />
+        <path d="m37.098.006v14.561c0 1.656 1.104 5.791 6.104 5.791h12.8l-18.904-20.352z" fill="#fff" opacity=".5" />
+    </g>
+</svg>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/dislikeButtonIcon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/dislikeButtonIcon.svelte
@@ -0,0 +1,28 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1699532005309"
+	class="icon rotate-180"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	p-id="31791"
+	width="1rem"
+	height="1rem"
+	><path
+		d="M505.088 513.1264m-450.816 0a450.816 450.816 0 1 0 901.632 0 450.816 450.816 0 1 0-901.632 0Z"
+		fill="#b8b8b8"
+		p-id="31792"
+		data-spm-anchor-id="a313x.search_index.0.i28.33343a81AAN1qI"
+		class="selected"
+	/><path
+		d="M356.6592 575.0784c0-54.5792 0.3584-109.1584-0.2048-163.6864-0.1536-15.872 5.5296-24.2176 20.992-29.5424 58.88-20.2752 93.7472-63.1296 110.848-121.9072 5.9392-20.4288 11.4176-41.216 19.7632-60.672 13.4656-31.5904 38.2464-42.7008 72.6528-35.328 26.5216 5.6832 43.3152 28.3648 43.5712 60.16 0.3584 40.4992 0.0512 80.9984 0.1536 121.4976 0.0512 22.2208 3.9424 26.7264 26.5728 26.9824 45.568 0.512 91.1872 1.536 136.704-0.256 40.5504-1.5872 69.9392 24.832 59.7504 69.9904-12.2368 54.0672-27.648 107.4688-42.7008 160.8704-9.2672 32.9216-20.1728 65.4336-30.8736 97.9456-14.1312 43.008-40.448 62.0544-84.8896 62.0544H390.2976c-32.1024 0-33.6384-1.536-33.6384-32.8704v-155.2384zM307.8656 573.9008c0 52.8896 0.1024 105.7792-0.0512 158.6688-0.1024 26.0096-4.9152 30.6176-30.3616 30.6688-7.3216 0-14.6432 0.0512-21.9648 0-29.8496-0.1536-44.032-14.08-44.2368-44.6976-0.3072-55.1424-0.1024-110.2848-0.1024-165.4272 0-40.4992-0.1536-81.0496 0.0512-121.5488 0.2048-32.2048 15.7696-47.616 47.5136-47.7184 49.1008-0.2048 49.152-0.2048 49.152 48.2304 0.0512 47.2576 0.0512 94.5152 0 141.824z"
+		fill="#ffffff"
+		p-id="31793"
+		data-spm-anchor-id="a313x.search_index.0.i26.33343a81AAN1qI"
+		class=""
+	/></svg
+>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/download-directory.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/download-directory.svelte
@@ -0,0 +1,16 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	class="icon"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	height="1em"
+	><path
+		d="M576 64c0-35.4-28.6-64-64-64s-64 28.6-64 64v485.4l-146.8-146.8c-25-25-65.6-25-90.6 0s-25 65.6 0 90.6l256 256c25 25 65.6 25 90.6 0l256-256c25-25 25-65.6 0-90.6s-65.6-25-90.6 0L576 549.4V64zM128 704c-70.6 0-128 57.4-128 128v64c0 70.6 57.4 128 128 128h768c70.6 0 128-57.4 128-128v-64c0-70.6-57.4-128-128-128H693l-90.6 90.6c-50 50-131 50-181 0L331 704H128z m736 112a48 48 0 1 1 0 96 48 48 0 1 1 0-96z"
+		fill="white"
+	/></svg
+>
--- a/AgentQnA/ui/svelte/src/lib/assets/icons/likeButtonIcon.svelte
+++ b/AgentQnA/ui/svelte/src/lib/assets/icons/likeButtonIcon.svelte
@@ -0,0 +1,24 @@
+<!--
+  Copyright (C) 2025 Intel Corporation
+  SPDX-License-Identifier: Apache-2.0
+-->
+
+<svg
+	t="1699531880178"
+	class="icon"
+	viewBox="0 0 1024 1024"
+	version="1.1"
+	xmlns="http://www.w3.org/2000/svg"
+	p-id="26552"
+	width="1rem"
+	height="1rem"
+	><path
+		d="M505.088 513.1264m-450.816 0a450.816 450.816 0 1 0 901.632 0 450.816 450.816 0 1 0-901.632 0Z"
+		fill="#b8b8b8"
+		p-id="26553"
+	/><path
+		d="M356.6592 575.0784c0-54.5792 0.3584-109.1584-0.2048-163.6864-0.1536-15.872 5.5296-24.2176 20.992-29.5424 58.88-20.2752 93.7472-63.1296 110.848-121.9072 5.9392-20.4288 11.4176-41.216 19.7632-60.672 13.4656-31.5904 38.2464-42.7008 72.6528-35.328 26.5216 5.6832 43.3152 28.3648 43.5712 60.16 0.3584 40.4992 0.0512 80.9984 0.1536 121.4976 0.0512 22.2208 3.9424 26.7264 26.5728 26.9824 45.568 0.512 91.1872 1.536 136.704-0.256 40.5504-1.5872 69.9392 24.832 59.7504 69.9904-12.2368 54.0672-27.648 107.4688-42.7008 160.8704-9.2672 32.9216-20.1728 65.4336-30.8736 97.9456-14.1312 43.008-40.448 62.0544-84.8896 62.0544H390.2976c-32.1024 0-33.6384-1.536-33.6384-32.8704v-155.2384zM307.8656 573.9008c0 52.8896 0.1024 105.7792-0.0512 158.6688-0.1024 26.0096-4.9152 30.6176-30.3616 30.6688-7.3216 0-14.6432 0.0512-21.9648 0-29.8496-0.1536-44.032-14.08-44.2368-44.6976-0.3072-55.1424-0.1024-110.2848-0.1024-165.4272 0-40.4992-0.1536-81.0496 0.0512-121.5488 0.2048-32.2048 15.7696-47.616 47.5136-47.7184 49.1008-0.2048 49.152-0.2048 49.152 48.2304 0.0512 47.2576 0.0512 94.5152 0 141.824z"
+		fill="#FFFFFF"
+		p-id="26554"
+	/></svg
+>
--- a/Show More
+++ b/Show More