diff --git a/.devcontainer/post_create_command.sh b/.devcontainer/post_create_command.sh
index 08bedb572..a94289b76 100755
--- a/.devcontainer/post_create_command.sh
+++ b/.devcontainer/post_create_command.sh
@@ -13,8 +13,8 @@ echo "source .venv/bin/activate" >> ~/.zshrc
 echo "alias deploylisa='make clean && npm ci && make deploy HEADLESS=true'" >> ~/.bashrc
 echo "alias deploylisa='make clean && npm ci && make deploy HEADLESS=true'" >> ~/.zshrc
 
-pip install --upgrade pip
-pip3 install yq huggingface_hub s5cmd
+python -m pip install --upgrade pip
+pip3 install yq==3.4.3 huggingface_hub==0.26.3 s5cmd==2.2.2
 make installPythonRequirements
 
 make createTypeScriptEnvironment
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 000000000..7a3263faf
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,240 @@
+version: 2
+updates:
+  # Enable version updates for npm
+  - package-ecosystem: "npm"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+    rebase-strategy: "auto"
+
+  # Enable version updates for pip - root directory
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - lisa-sdk
+  - package-ecosystem: "pip"
+    directory: "/lisa-sdk"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - authorizer layer
+  - package-ecosystem: "pip"
+    directory: "/lib/core/layers/authorizer"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - common layer
+  - package-ecosystem: "pip"
+    directory: "/lib/core/layers/common"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - fastapi layer
+  - package-ecosystem: "pip"
+    directory: "/lib/core/layers/fastapi"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - rest-api src
+  - package-ecosystem: "pip"
+    directory: "/lib/serve/rest-api/src"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable version updates for pip - rag layer
+  - package-ecosystem: "pip"
+    directory: "/lib/rag/layer"
+    schedule:
+      interval: "weekly"
+      day: "tuesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable security updates for GitHub Actions
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 5
+
+  # Enable updates for Docker - RAG ingestion
+  - package-ecosystem: "docker"
+    directory: "/lib/rag/ingestion/ingestion-image"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - vector store
+  - package-ecosystem: "docker"
+    directory: "/lib/rag/vector-store/state_machine"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - REST API
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/rest-api"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - MCP workbench
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/mcp-workbench"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - VLLM
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/ecs-model/vllm"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - TEI
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/ecs-model/embedding/tei"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - instructor
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/ecs-model/embedding/instructor"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
+
+  # Enable updates for Docker - TGI
+  - package-ecosystem: "docker"
+    directory: "/lib/serve/ecs-model/textgen/tgi"
+    schedule:
+      interval: "weekly"
+      day: "thursday"
+      time: "09:00"
+    reviewers:
+      - "awslabs/lisa-maintainers"
+    commit-message:
+      prefix: "chore"
+      include: "scope"
+    open-pull-requests-limit: 3
diff --git a/.github/scripts/generate-pr-description.sh b/.github/scripts/generate-pr-description.sh
new file mode 100755
index 000000000..df36f9df2
--- /dev/null
+++ b/.github/scripts/generate-pr-description.sh
@@ -0,0 +1,261 @@
+#!/bin/bash
+
+# GitHub Actions script to generate AI-powered PR descriptions using Amazon Bedrock
+# This script analyzes commit history and generates formatted PR descriptions matching LISA's changelog format
+
+set -e  # Exit on any error
+
+RELEASE_TAG="$1"
+
+if [ -z "$RELEASE_TAG" ]; then
+    echo "Error: Release tag is required as first argument"
+    exit 1
+fi
+
+echo "🔍 Fetching commit history and PR details for release branch (comparing against main)..."
+
+# Function to check if GitHub CLI is properly authenticated
+check_gh_auth() {
+    if ! command -v gh >/dev/null 2>&1; then
+        return 1
+    fi
+    
+    # Check authentication status with timeout
+    if timeout 10s gh auth status >/dev/null 2>&1; then
+        return 0
+    else
+        return 1
+    fi
+}
+
+# Function to get PR info for a commit
+get_commit_pr_info() {
+    local commit_hash="$1"
+    local commit_subject="$2"
+    local commit_author="$3"
+    
+    # Try to find associated PRs using GitHub CLI (only if authenticated)
+    if [[ "$GH_AUTHENTICATED" == "true" ]]; then
+        # Use timeout to prevent hanging and suppress errors
+        local pr_info=$(timeout 15s gh pr list --search "$commit_hash" --state merged --json number,title,body --limit 1 2>/dev/null || echo "[]")
+        
+        if [[ "$pr_info" != "[]" ]] && [[ -n "$pr_info" ]] && [[ "$pr_info" != *"error"* ]]; then
+            local pr_number=$(echo "$pr_info" | jq -r '.[0].number // empty' 2>/dev/null)
+            local pr_title=$(echo "$pr_info" | jq -r '.[0].title // empty' 2>/dev/null)
+            local pr_body=$(echo "$pr_info" | jq -r '.[0].body // empty' 2>/dev/null)
+            
+            if [[ -n "$pr_number" && -n "$pr_title" && "$pr_number" != "null" ]]; then
+                echo "- $commit_subject ($commit_author)"
+                echo "  PR #$pr_number: $pr_title"
+                
+                if [[ -n "$pr_body" && "$pr_body" != "null" ]]; then
+                    # Truncate very long PR descriptions and clean up formatting
+                    local cleaned_body=$(echo "$pr_body" | head -c 500 | tr '\n' ' ' | tr -s ' ')
+                    echo "  $cleaned_body"
+                fi
+                return 0
+            fi
+        fi
+    fi
+    
+    # Fallback to commit message only
+    echo "- $commit_subject ($commit_author)"
+    return 1
+}
+
+# Check GitHub CLI authentication status
+if check_gh_auth; then
+    echo "✅ GitHub CLI authenticated - will attempt PR lookups"
+    GH_AUTHENTICATED="true"
+else
+    echo "⚠️  GitHub CLI not available or not authenticated - using commit messages only"
+    echo "   To enable PR lookups, run: gh auth login"
+    GH_AUTHENTICATED="false"
+fi
+
+# Get commits with PR information
+COMMITS=""
+commit_count=0
+pr_found_count=0
+echo "📡 Looking up commit information..."
+
+# Determine the correct main branch reference
+MAIN_REF=""
+if git rev-parse --verify main >/dev/null 2>&1; then
+    MAIN_REF="main"
+elif git rev-parse --verify origin/main >/dev/null 2>&1; then
+    MAIN_REF="origin/main"
+elif git rev-parse --verify refs/remotes/origin/main >/dev/null 2>&1; then
+    MAIN_REF="refs/remotes/origin/main"
+else
+    echo "❌ Cannot find main branch reference. Available branches:"
+    git branch -a 2>/dev/null || echo "No branches found"
+    echo "Using develop branch as fallback for commit analysis"
+    MAIN_REF="HEAD~50"  # Fallback to last 50 commits
+fi
+
+echo "🔍 Using main branch reference: $MAIN_REF"
+
+while IFS='|' read -r hash subject author; do
+    if [[ -n "$hash" ]]; then
+        # Get commit info and handle return code properly with set -e
+        commit_info=$(get_commit_pr_info "$hash" "$subject" "$author") || commit_return_code=$?
+        
+        # Check if PR info was found (return code 0 means PR found)
+        if [[ -z "$commit_return_code" ]]; then
+            pr_found_count=$((pr_found_count + 1))
+        fi
+        
+        if [[ -n "$COMMITS" ]]; then
+            COMMITS="$COMMITS"$'\n'"$commit_info"
+        else
+            COMMITS="$commit_info"
+        fi
+        commit_count=$((commit_count + 1))
+        
+        # Show progress for long-running operations
+        if [[ $((commit_count % 3)) -eq 0 ]]; then
+            echo "   ... processed $commit_count commits"
+        fi
+        
+        # Reset the return code variable for next iteration
+        unset commit_return_code
+    fi
+done < <(git log $MAIN_REF..HEAD --pretty=format:"%H|%s|%an" --no-merges 2>/dev/null || echo "")
+
+echo "✅ Processed $commit_count commits"
+if [[ "$GH_AUTHENTICATED" == "true" ]]; then
+    echo "📊 Found PR information for $pr_found_count commits"
+fi
+
+# Get unique contributors from commits for acknowledgements (use email to extract GitHub username)
+CONTRIBUTORS=$(git log $MAIN_REF..HEAD --pretty=format:"%ae" --no-merges 2>/dev/null | sort -u | sed 's/@.*$//' | sed 's/^/* @/' | tr '\n' '\n' || echo "")
+
+# Get the current version from VERSION file to use as previous version in changelog
+if [ -f "VERSION" ]; then
+    PREVIOUS_VERSION="v$(cat VERSION)"
+else
+    # Fallback to git tag if VERSION file doesn't exist
+    PREVIOUS_VERSION=$(git describe --tags --abbrev=0 2>/dev/null || echo "unknown")
+fi
+
+# If no commits, use a default message
+if [ -z "$COMMITS" ]; then
+    COMMITS="- Version update to $RELEASE_TAG"
+    CONTRIBUTORS="* @github_actions_lisa"
+fi
+
+echo "📝 Found commits:"
+echo -e "$COMMITS"
+echo ""
+echo "👥 Contributors: $CONTRIBUTORS"
+echo "🏷️ Previous version: $PREVIOUS_VERSION"
+echo ""
+
+# Create a prompt for Bedrock to generate PR description matching LISA's changelog format
+PROMPT="Please create a comprehensive pull request description for the LISA software release that covers ALL commits and PRs provided. Use this format structure:
+
+# $RELEASE_TAG
+
+## Key Features
+
+### [Feature Name - create as many sections as needed]
+[Description of the feature and its capabilities]
+**[Subcategory if applicable]:**
+- **[Component]**: [Description of enhancement]
+- **[Component]**: [Description of enhancement]
+
+### [Another Feature Name - repeat for each major feature/PR]
+[Description and details]
+
+### [Continue for ALL features found in the commits]
+[Ensure every significant commit/PR is represented]
+
+## Key Changes
+- **[Category]**: [Description of change]
+- **[Category]**: [Description of change]  
+- **[Category]**: [Description of change]
+[Include ALL significant changes, not just a few examples]
+
+## Acknowledgements
+$CONTRIBUTORS
+
+**Full Changelog**: https://github.com/awslabs/LISA/compare/$PREVIOUS_VERSION..$RELEASE_TAG
+
+---
+
+IMPORTANT: You MUST analyze and include ALL of the following commits/PRs in your response:
+$COMMITS
+
+Requirements:
+1. Create a separate Key Features section for EVERY major feature, enhancement, or significant PR listed above
+2. Do NOT limit yourself to just 2-3 features - cover ALL significant changes
+3. Group related smaller commits together into logical feature sections
+4. Use descriptive, professional language for each feature section
+5. Ensure every PR mentioned above gets appropriate coverage in the description
+6. List ALL significant changes in the Key Changes section
+7. If there are many commits, prioritize PRs with detailed descriptions first, then group commits by theme
+
+Generate a comprehensive description that covers ALL the provided commits and PRs now:"
+
+# Call Bedrock to generate description
+echo "🤖 Generating PR description with Bedrock Claude 3 Haiku..."
+
+# Use jq to properly construct the JSON payload to avoid escaping issues
+BEDROCK_PAYLOAD=$(jq -n \
+  --arg prompt "$PROMPT" \
+  '{
+    "anthropic_version": "bedrock-2023-05-31",
+    "max_tokens": 3000,
+    "messages": [
+      {
+        "role": "user",
+        "content": $prompt
+      }
+    ]
+  }')
+
+RESPONSE=$(aws bedrock-runtime invoke-model \
+    --model-id "anthropic.claude-3-haiku-20240307-v1:0" \
+    --body "$BEDROCK_PAYLOAD" \
+    --cli-binary-format raw-in-base64-out \
+    /tmp/bedrock_response.json)
+
+# Extract the generated description from the response
+DESCRIPTION=$(jq -r '.content[0].text' /tmp/bedrock_response.json)
+
+# Fallback description if Bedrock fails - use LISA changelog format
+if [ -z "$DESCRIPTION" ] || [ "$DESCRIPTION" = "null" ]; then
+    echo "⚠️  Bedrock response failed, using fallback description"
+    DESCRIPTION="# $RELEASE_TAG
+
+## Key Features
+
+### System Updates
+This release includes version updates and system improvements to enhance LISA's stability and performance.
+
+## Key Changes
+- **Version Management**: Updated version numbers across all package files
+- **Release Process**: Automated release branch creation and versioning
+- **System Maintenance**: General system updates and improvements
+
+## Acknowledgements
+$CONTRIBUTORS
+
+**Full Changelog**: https://github.com/awslabs/LISA/compare/$PREVIOUS_VERSION..$RELEASE_TAG"
+else
+    echo "✅ Successfully generated PR description with Bedrock"
+fi
+
+echo ""
+echo "📋 Generated PR description:"
+echo "----------------------------------------"
+echo "$DESCRIPTION"
+echo "----------------------------------------"
+
+# Save description to GitHub Actions output
+{
+    echo 'DESCRIPTION<<EOF'
+    echo "$DESCRIPTION"
+    echo 'EOF'
+} >> $GITHUB_OUTPUT
diff --git a/.github/workflows/code.deploy.demo.yml b/.github/workflows/code.deploy.demo.yml
index e200c1030..0170b1dee 100644
--- a/.github/workflows/code.deploy.demo.yml
+++ b/.github/workflows/code.deploy.demo.yml
@@ -11,7 +11,7 @@ jobs:
   CheckPendingWorkflow:
     runs-on: ubuntu-latest
     steps:
-      - uses: ahmadnassri/action-workflow-queue@v1
+      - uses: ahmadnassri/action-workflow-queue@542658b3a8270cac81ae15d401b0d974732808ac # v1
         with:
           delay: 300000
           timeout: 7200000
@@ -20,9 +20,9 @@ jobs:
     environment: demo
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
       - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
+        uses: aws-actions/configure-aws-credentials@3d21ddcb5087c3d29b7e19fe293e3455fabe32af # v4
         with:
           aws-region: ${{ vars.AWS_REGION }}
           role-to-assume: arn:aws:iam::${{ vars.AWS_ACCOUNT }}:role/${{ vars.ROLE_NAME_TO_ASSUME }}
@@ -33,11 +33,11 @@ jobs:
         run: |
           echo "${{vars.CONFIG_YAML}}" > config-custom.yaml
       - name: Set up Python 3.11
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
         with:
           python-version: "3.11"
       - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: 20.x
       - name: Install CDK dependencies
@@ -53,7 +53,7 @@ jobs:
     if: always()
     steps:
       - name: Send Notification that Demo Deploy Finished
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.INTERNAL_DEV_SLACK_WEBHOOK_URL }}
           SLACK_COLOR: ${{ contains(join(needs.*.result, ' '), 'failure') && 'failure' || 'success' }}
diff --git a/.github/workflows/code.deploy.dev.yml b/.github/workflows/code.deploy.dev.yml
index be2717afc..417fe49be 100644
--- a/.github/workflows/code.deploy.dev.yml
+++ b/.github/workflows/code.deploy.dev.yml
@@ -11,7 +11,7 @@ jobs:
   CheckPendingWorkflow:
     runs-on: ubuntu-latest
     steps:
-      - uses: ahmadnassri/action-workflow-queue@v1
+      - uses: ahmadnassri/action-workflow-queue@542658b3a8270cac81ae15d401b0d974732808ac # v1
         with:
           delay: 300000
           timeout: 7200000
@@ -20,9 +20,9 @@ jobs:
     environment: dev
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
       - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
+        uses: aws-actions/configure-aws-credentials@3d21ddcb5087c3d29b7e19fe293e3455fabe32af # v4
         with:
           aws-region: ${{ vars.AWS_REGION }}
           role-to-assume: arn:aws:iam::${{ vars.AWS_ACCOUNT }}:role/${{ vars.ROLE_NAME_TO_ASSUME }}
@@ -33,11 +33,11 @@ jobs:
         run: |
           echo "${{vars.CONFIG_YAML}}" > config-custom.yaml
       - name: Set up Python 3.11
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
         with:
           python-version: "3.11"
       - name: Use Node.js 20.x
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: 20.x
       - name: Install CDK dependencies
@@ -53,7 +53,7 @@ jobs:
     if: always()
     steps:
       - name: Send Notification that Dev Deploy Finished
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK_URL }}
           SLACK_COLOR: ${{ contains(join(needs.*.result, ' '), 'failure') && 'failure' || 'success' }}
diff --git a/.github/workflows/code.draft-release-and-tag.yml b/.github/workflows/code.draft-release-and-tag.yml
index 85d53593b..b1933f23f 100644
--- a/.github/workflows/code.draft-release-and-tag.yml
+++ b/.github/workflows/code.draft-release-and-tag.yml
@@ -5,24 +5,28 @@ on:
     types: [closed]
 
 permissions:
-  id-token: write
-  contents: write
+  contents: read  # Default read-only
 
 jobs:
   draft_release:
     runs-on: ubuntu-latest
+    permissions:
+      contents: write  # Required for creating releases
+      id-token: write  # Required for AWS authentication
     if: (startsWith(github.event.pull_request.head.ref, 'release/' ) || startsWith(github.event.pull_request.head.ref, 'hotfix/')) && github.event.pull_request.merged == true && github.event.pull_request.base.ref == 'main'
     steps:
       - name: Checkout Source Tag
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         with:
           ref: main
       - name: Get Version
         id: get-version
         run: |
-          version=$(echo ${{github.event.pull_request.head.ref}} | cut -d/ -f2)
+          version=$(echo "$GITHUB_HEAD_REF" | cut -d/ -f2)
           echo "version=$version" >> $GITHUB_OUTPUT
           echo "VERSION = $version"
+        env:
+          GITHUB_HEAD_REF: ${{ github.event.pull_request.head.ref }}
       - name: Create Release
         run: |
           gh release create ${{ steps.get-version.outputs.version }} --generate-notes -d -t "${{ steps.get-version.outputs.version }}" --target main
@@ -33,15 +37,19 @@ jobs:
     needs: [draft_release]
     runs-on: ubuntu-latest
     if: always()
+    permissions:
+      contents: read
     steps:
       - name: Get Version
         id: get-version
         run: |
-          version=$(echo ${{github.event.pull_request.head.ref}} | cut -d/ -f2)
+          version=$(echo "$GITHUB_HEAD_REF" | cut -d/ -f2)
           echo "version=$version" >> $GITHUB_OUTPUT
           echo "VERSION = $version"
+        env:
+          GITHUB_HEAD_REF: ${{ github.event.pull_request.head.ref }}
       - name: Send Notification that Draft Release is Ready
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         if: (startsWith(github.event.pull_request.head.ref, 'release/' ) || startsWith(github.event.pull_request.head.ref, 'hotfix/')) && github.event.pull_request.merged == true && github.event.pull_request.base.ref == 'main'
         with:
           status: success()
diff --git a/.github/workflows/code.end-to-end-test.nightly.yml b/.github/workflows/code.end-to-end-test.nightly.yml
index b55035000..c96fd7471 100644
--- a/.github/workflows/code.end-to-end-test.nightly.yml
+++ b/.github/workflows/code.end-to-end-test.nightly.yml
@@ -17,7 +17,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Send “E2E Tests Starting” to Slack
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_TITLE: 'E2E Tests Starting'
           MSG_MINIMAL: true
@@ -28,9 +28,9 @@ jobs:
     runs-on: ubuntu-latest
     needs: notify_e2e_start
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
       - name: Setup Node.js
-        uses: actions/setup-node@v3
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: '18'
           cache: 'npm'
@@ -42,7 +42,7 @@ jobs:
         run: npx cypress run --config-file cypress/cypress.e2e.config.ts
       - name: Archive Cypress videos & screenshots
         if: failure() || always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: cypress-e2e-artifacts
           path: |
@@ -56,7 +56,7 @@ jobs:
     if: always()
     steps:
       - name: Notify E2E results to Slack
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_COLOR: ${{ needs.e2e.result == 'success' && 'good' || 'danger' }}
           SLACK_TITLE: 'E2E Tests Finished'
diff --git a/.github/workflows/code.hotfix.branch.yml b/.github/workflows/code.hotfix.branch.yml
index 6f8bede9f..d28a36aaf 100644
--- a/.github/workflows/code.hotfix.branch.yml
+++ b/.github/workflows/code.hotfix.branch.yml
@@ -10,16 +10,18 @@ on:
         required: true
 
 permissions:
-  id-token: write
-  contents: write
-  pull-requests: write
+  contents: read  # Default read-only
 
 jobs:
   MakeNewBranch:
     runs-on: ubuntu-latest
+    permissions:
+      contents: write       # Required for branch creation
+      id-token: write       # Required for AWS authentication
+      pull-requests: write  # Required for creating PRs
     steps:
       - name: Checkout Source Tag
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         with:
           ref: refs/tags/${{ github.event.inputs.source_tag }}
       - name: Create Hotfix Branch and Update Version
diff --git a/.github/workflows/code.merge.main-to-develop.yml b/.github/workflows/code.merge.main-to-develop.yml
index 0a18b2596..06ad5d096 100644
--- a/.github/workflows/code.merge.main-to-develop.yml
+++ b/.github/workflows/code.merge.main-to-develop.yml
@@ -5,14 +5,16 @@ on:
     types: [released]
 
 permissions:
-  contents: write
+  contents: read  # Default read-only
 
 jobs:
   conduct_merge:
     runs-on: ubuntu-latest
+    permissions:
+      contents: write  # Required for merging branches
     steps:
       - name: Checkout main
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         with:
           ref: main
           ssh-key: ${{ secrets.DEPLOYMENT_SSH_KEY }}
@@ -32,7 +34,7 @@ jobs:
     if: always()
     steps:
       - name: Send Notification that Develop is up to date
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.INTERNAL_DEV_SLACK_WEBHOOK_URL }}
           SLACK_COLOR: ${{ contains(join(needs.*.result, ' '), 'failure') && 'failure' || 'success' }}
diff --git a/.github/workflows/code.publish.yml b/.github/workflows/code.publish.yml
index f90cf80ea..bf707c271 100644
--- a/.github/workflows/code.publish.yml
+++ b/.github/workflows/code.publish.yml
@@ -4,19 +4,18 @@ on:
     types: [released]
 
 permissions:
-  contents: read
-  packages: write
+  contents: read  # Default read-only
 
 jobs:
   PublishLISA:
     runs-on: ubuntu-latest
     permissions:
       contents: read
-      packages: write
+      packages: write  # Required for npm package publishing
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
       # Setup .npmrc file to publish to GitHub Packages
-      - uses: actions/setup-node@v4
+      - uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: '20.x'
           registry-url: 'https://npm.pkg.github.com'
@@ -30,9 +29,11 @@ jobs:
     needs: [ PublishLISA ]
     runs-on: ubuntu-latest
     if: always()
+    permissions:
+      contents: read
     steps:
       - name: Send Notification that package has published
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.INTERNAL_DEV_SLACK_WEBHOOK_URL }}
           SLACK_COLOR: ${{ contains(join(needs.*.result, ' '), 'failure') && 'failure' || 'success' }}
diff --git a/.github/workflows/code.release.branch.yml b/.github/workflows/code.release.branch.yml
index cbe3900cd..5696a2b82 100644
--- a/.github/workflows/code.release.branch.yml
+++ b/.github/workflows/code.release.branch.yml
@@ -7,16 +7,19 @@ on:
         required: true
 
 permissions:
-  id-token: write
-  contents: write
-  pull-requests: write
+  contents: read  # Default read-only
 
 jobs:
   MakeNewReleaseBranch:
     runs-on: ubuntu-latest
+    environment: dev
+    permissions:
+      contents: write       # Required for branch creation
+      id-token: write       # Required for AWS authentication
+      pull-requests: write  # Required for creating PRs
     steps:
       - name: Checkout Develop Branch
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         with:
           ref: develop
       - name: Create Release Branch and Update Version
@@ -29,12 +32,37 @@ jobs:
           echo "$( jq --arg version ${RELEASE_TAG:1} '.version = $version' package.json )" > package.json
           sed -E -i -e "s/version = \"[0-9\.].+\"/version = \"${RELEASE_TAG:1}\"/g" lisa-sdk/pyproject.toml
           echo ${RELEASE_TAG:1} > VERSION
+          # update package-lock.json
+          npm ci
           git commit -a -m "Updating version for release ${{ github.event.inputs.release_tag }}"
           git push origin release/${{ github.event.inputs.release_tag }}
         env:
           GITHUB_TOKEN: ${{ secrets.LEAD_ACCESS_TOKEN }}
+      - name: Configure AWS Credentials
+        uses: aws-actions/configure-aws-credentials@3d21ddcb5087c3d29b7e19fe293e3455fabe32af # v4
+        with:
+          aws-region: ${{ vars.AWS_REGION }}
+          role-to-assume: arn:aws:iam::${{ vars.AWS_ACCOUNT }}:role/${{ vars.ROLE_NAME_TO_ASSUME }}
+          role-session-name: GitHub_to_AWS_via_FederatedOIDC
+          role-duration-seconds: 14400
+      - name: Generate PR Description with Bedrock
+        id: generate_description
+        run: |
+          # Switch back to develop branch for accurate commit comparison
+          git checkout develop
+          chmod +x .github/scripts/generate-pr-description.sh
+          .github/scripts/generate-pr-description.sh "${{ github.event.inputs.release_tag }}"
+        env:
+          GITHUB_TOKEN: ${{ secrets.LEAD_ACCESS_TOKEN }}
+          
       - name: Draft Pull Request
         run: |
-          gh pr create -d --title "Release ${{github.event.inputs.release_tag}} into Main" --body "Release ${{github.event.inputs.release_tag}} PR into Main" --base main --head release/${{ github.event.inputs.release_tag }}
+          # Switch to release branch to ensure proper context for PR creation
+          git checkout release/${{ github.event.inputs.release_tag }}
+          gh pr create -d \
+            --title "Release ${{github.event.inputs.release_tag}} into Main" \
+            --body "${{ steps.generate_description.outputs.DESCRIPTION }}" \
+            --base main \
+            --head release/${{ github.event.inputs.release_tag }}
         env:
           GH_TOKEN: ${{ github.token }}
diff --git a/.github/workflows/code.smoke-test.yml b/.github/workflows/code.smoke-test.yml
index 1041cab23..bbf706b9d 100644
--- a/.github/workflows/code.smoke-test.yml
+++ b/.github/workflows/code.smoke-test.yml
@@ -14,10 +14,10 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
 
       - name: Setup Node.js
-        uses: actions/setup-node@v3
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: '18'
           cache: 'npm'
@@ -42,7 +42,7 @@ jobs:
 
       - name: Archive Cypress videos & screenshots
         if: failure() || always()
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: cypress-smoke-artifacts
           path: |
diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
new file mode 100644
index 000000000..d9f00cb60
--- /dev/null
+++ b/.github/workflows/codeql.yml
@@ -0,0 +1,73 @@
+name: "CodeQL Security Analysis"
+
+on:
+  # Temporarily disabled to avoid conflicts with default CodeQL setup
+  # push:
+  #   branches: [ "main", "develop" ]
+  # pull_request:
+  #   branches: [ "main", "develop" ]
+  # schedule:
+  #   - cron: '0 8 * * 1'  # Weekly on Monday at 8 AM UTC
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  analyze:
+    name: Analyze Code
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      security-events: write
+      actions: read
+
+    strategy:
+      fail-fast: false
+      matrix:
+        language: [ 'javascript', 'python' ]
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
+
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@b36bf259c813715f76eafece573914b94412cd13 # v3
+      with:
+        languages: ${{ matrix.language }}
+        config: |
+          name: "Custom CodeQL Analysis"
+
+    - name: Set up Python 3.11
+      if: matrix.language == 'python'
+      uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+      with:
+        python-version: "3.11"
+
+    - name: Install Python dependencies
+      if: matrix.language == 'python'
+      run: |
+        python -m pip install --upgrade pip
+        # Try hash-verified install first, fall back to regular
+        if [ -f "requirements-dev-hashes.txt" ]; then
+          pip install --require-hashes -r requirements-dev-hashes.txt
+        else
+          pip install -r requirements-dev.txt
+        fi
+        pip install -e ./lisa-sdk
+
+    - name: Use Node.js 20.x
+      if: matrix.language == 'javascript'
+      uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
+      with:
+        node-version: 20.x
+
+    - name: Install Node.js dependencies
+      if: matrix.language == 'javascript'
+      run: |
+        npm ci
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@b36bf259c813715f76eafece573914b94412cd13 # v3
+      with:
+        category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/docs.deploy.github-pages.yml b/.github/workflows/docs.deploy.github-pages.yml
index ba12f72e7..faa07b402 100644
--- a/.github/workflows/docs.deploy.github-pages.yml
+++ b/.github/workflows/docs.deploy.github-pages.yml
@@ -19,16 +19,16 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         with:
           fetch-depth: 0
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: 20
           cache: npm
       - name: Setup Pages
-        uses: actions/configure-pages@v4
+        uses: actions/configure-pages@1f0c5cde4bc74cd7e1254d0cb4de8d49e9068c7d # v4
       - name: Install root dependencies
         run: |
           npm ci
@@ -39,7 +39,7 @@ jobs:
           CI: ""
           DOCS_BASE_PATH: '/LISA/'
       - name: Upload artifact
-        uses: actions/upload-pages-artifact@v3
+        uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3
         with:
           path: ./lib/docs/dist
   deploy:
@@ -52,4 +52,4 @@ jobs:
     steps:
       - name: Deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@v4
+        uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4
diff --git a/.github/workflows/issues.alert.yml b/.github/workflows/issues.alert.yml
index f7995928e..e7d361f85 100644
--- a/.github/workflows/issues.alert.yml
+++ b/.github/workflows/issues.alert.yml
@@ -1,5 +1,7 @@
 name: Alert on Issue Creation
-permissions: {}
+permissions:
+  contents: read
+  issues: read
 on:
   issues:
     types: [opened, reopened]
@@ -8,9 +10,12 @@ jobs:
   send_slack_notification:
     name: Send Issue Alert Slack Notification
     runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      issues: read
     steps:
         - name: Send slack notification for issue created
-          uses: rtCamp/action-slack-notify@v2
+          uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
           if: github.event.action == 'opened'
           env:
             SLACK_WEBHOOK: ${{ secrets.INTERNAL_DEV_SLACK_WEBHOOK_URL }}
@@ -20,7 +25,7 @@ jobs:
             MSG_MINIMAL: 'true'
             SLACK_MESSAGE: '<!here> Issue <${{ github.event.issue.html_url }}|${{ github.event.issue.title }}> created by ${{ github.event.sender.login }}'
         - name: Send slack notification for issue reopened
-          uses: rtCamp/action-slack-notify@v2
+          uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
           if: github.event.action == 'reopened'
           env:
             SLACK_WEBHOOK: ${{ secrets.INTERNAL_DEV_SLACK_WEBHOOK_URL }}
diff --git a/.github/workflows/test-and-lint.yml b/.github/workflows/test-and-lint.yml
index 4a3e7d2af..cd9e03c82 100644
--- a/.github/workflows/test-and-lint.yml
+++ b/.github/workflows/test-and-lint.yml
@@ -13,10 +13,12 @@ jobs:
   send_starting_slack_notification:
     name: Send Starting Slack Notification
     runs-on: ubuntu-latest
+    permissions:
+      contents: read
     steps:
       - name: Send Internal PR Created Notification
         if: github.event_name == 'pull_request' && github.event.action == 'opened'
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK_URL }}
           SLACK_TITLE: 'PR Created: ${{ github.event.pull_request.title }} by ${{ github.event.pull_request.user.login }}'
@@ -25,7 +27,7 @@ jobs:
           SLACK_MESSAGE: 'PR Created ${{ github.event.pull_request.html_url }}'
       - name: Send Mission Solution PR Created Notification
         if: github.event_name == 'pull_request' && github.event.action == 'opened'
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         env:
           SLACK_WEBHOOK: ${{ secrets.MISSION_SOLUTION_PR_WEBHOOK }}
           SLACK_TITLE: '${{github.event.repository.name}} PR Created: ${{ github.event.pull_request.title }} by ${{ github.event.pull_request.user.login }}'
@@ -36,10 +38,12 @@ jobs:
     name: CDK Tests
     needs: [send_starting_slack_notification]
     runs-on: ubuntu-latest
+    permissions:
+      contents: read
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
       - name: Use Node.js 20.x
-        uses: actions/setup-node@v3
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
         with:
           node-version: 20.x
       - name: Install dependencies
@@ -52,16 +56,23 @@ jobs:
     name: Backend Tests
     runs-on: ubuntu-latest
     needs: [send_starting_slack_notification]
+    permissions:
+      contents: read
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
     - name: Set up Python 3.11
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
       with:
         python-version: "3.11"
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        pip install -r requirements-dev.txt
+        # Try hash-verified install first, fall back to regular
+        if [ -f "requirements-dev-hashes.txt" ]; then
+          pip install --require-hashes -r requirements-dev-hashes.txt
+        else
+          pip install -r requirements-dev.txt
+        fi
         pip install -e ./lisa-sdk
     - name: Run tests
       run: |
@@ -70,29 +81,33 @@ jobs:
       name: Run All Pre-Commit
       needs: [send_starting_slack_notification]
       runs-on: ubuntu-latest
+      permissions:
+        contents: read
       steps:
-        - uses: actions/checkout@v4
+        - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4
         - name: Set up Python 3.11
-          uses: actions/setup-python@v3
+          uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
           with:
             python-version: '3.11'
         - name: Use Node.js 20.x
-          uses: actions/setup-node@v3
+          uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
           with:
             node-version: 20.x
         - name: Install CDK dependencies
           working-directory: ./
           run: |
             npm ci
-        - uses: pre-commit/action@v3.0.1
+        - uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd # v3.0.1
   send_final_slack_notification:
     name: Send Final Slack Notification
     needs: [cdk-build, backend-build, pre-commit]
     runs-on: ubuntu-latest
     if: always()
+    permissions:
+      contents: read
     steps:
       - name: Send GitHub Action trigger data to Slack workflow
-        uses: rtCamp/action-slack-notify@v2
+        uses: rtCamp/action-slack-notify@cdf0a2130cbcdfd82ba5fcac8e076370bf381b36 # v2
         if: github.event_name != 'pull_request'
         env:
           SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK_URL }}
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 1c1b26b4a..30385e8a9 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -45,7 +45,7 @@ repos:
   hooks:
     - id: codespell
       entry: codespell
-      args: ['--skip=*.git*,*cdk.out*,*venv*,*mypy_cache*,*package-lock*,*node_modules*,*dist/*,*poetry.lock*,*coverage*,*models/*,*htmlcov*,*TIKTOKEN_CACHE/*', "-L=xdescribe"]
+      args: ['--skip=*.git*,*cdk.out*,*venv*,*mypy_cache*,*package-lock*,*node_modules*,*dist/*,*poetry.lock*,*coverage*,*models/*,*htmlcov*,*TIKTOKEN_CACHE/*', "-L=xdescribe,assertIn"]
       pass_filenames: false
 
 - repo: https://github.com/pycqa/isort
diff --git a/Makefile b/Makefile
index a12fb4dfa..32cb27f8f 100644
--- a/Makefile
+++ b/Makefile
@@ -143,18 +143,17 @@ else
 endif
 
 
-## Set up Python interpreter environment
+## Set up Python interpreter environment to match LISA deployed version
 createPythonEnvironment:
-	python3 -m venv .venv
+	python3.11 -m venv .venv
 	@printf ">>> New virtual environment created. To activate run: 'source .venv/bin/activate'"
 
 
 ## Install Python dependencies for development
 installPythonRequirements:
-	pip3 install pip --upgrade
-	pip3 install -r requirements-dev.txt
-	pip3 install -e lisa-sdk
-
+	CC=/usr/bin/gcc10-gcc CXX=/usr/bin/gcc10-g++ pip3 install pip --upgrade
+	CC=/usr/bin/gcc10-gcc CXX=/usr/bin/gcc10-g++ pip3 install --prefer-binary -r requirements-dev.txt
+	CC=/usr/bin/gcc10-gcc CXX=/usr/bin/gcc10-g++ pip3 install -e lisa-sdk
 
 ## Set up TypeScript interpreter environment
 createTypeScriptEnvironment:
@@ -206,7 +205,10 @@ modelCheck:
 				fi; \
 				echo "Converting and uploading safetensors for model: $$MODEL_ID"; \
 				tgiImage=$$(yq -r '[.ecsModels[] | select(.inferenceContainer == "tgi") | .baseImage] | first' $(PROJECT_DIR)/config-custom.yaml); \
-				echo $$tgiImage; \
+				if [ "$$tgiImage" = "null" ] || [ -z "$$tgiImage" ]; then \
+					tgiImage="ghcr.io/huggingface/text-generation-inference:latest"; \
+				fi; \
+				echo "Using TGI image: $$tgiImage"; \
 				$(PROJECT_DIR)/scripts/convert-and-upload-model.sh -m $$MODEL_ID -s $(MODEL_BUCKET) -a $$access_token -t $$tgiImage -d $$localModelDir; \
 			fi; \
 		fi; \
@@ -247,6 +249,7 @@ cleanCfn:
 ## Delete all misc files
 cleanMisc:
 	@find . -type f -name "*.DS_Store" -delete
+	@find . -type d -name "TIKTOKEN_CACHE" -exec rm -rf {} +
 	@rm -f .hf_token_cache
 
 
@@ -269,6 +272,9 @@ listStacks:
 buildNpmModules:
 	npm run build
 
+buildArchive:
+	BUILD_ASSETS=true npm run build
+
 define print_config
     @printf "\n \
     DEPLOYING $(STACK) STACK APP INFRASTRUCTURE \n \
@@ -383,4 +389,4 @@ test-coverage:
           --cov-report term-missing \
           --cov-report html:build/coverage \
           --cov-report xml:build/coverage/coverage.xml \
-          --cov-fail-under 83
+          --cov-fail-under 85
diff --git a/SECURITY.md b/SECURITY.md
new file mode 100644
index 000000000..e5acff157
--- /dev/null
+++ b/SECURITY.md
@@ -0,0 +1,87 @@
+# 🔒 Security Policy
+
+## 📋 Supported Versions
+
+We actively maintain security updates for the following versions:
+
+| Version | Supported          |
+| ------- | ------------------ |
+| Latest  | ✅ Fully supported |
+| < Latest| ❌ Security updates on best-effort basis |
+
+## 🚨 Reporting Security Vulnerabilities
+
+**Please DO NOT report security vulnerabilities through public GitHub issues.**
+
+Instead, please report security issues by:
+
+1. **Email**: Send details to the project maintainers via GitHub
+2. **Private Issue**: Use GitHub's security advisory feature if available
+3. **Direct Contact**: Contact repository administrators directly
+
+### 📝 What to Include
+
+Please include the following information:
+- Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+- Full paths of source file(s) related to the manifestation of the issue
+- The location of the affected source code (tag/branch/commit or direct URL)
+- Any special configuration required to reproduce the issue
+- Step-by-step instructions to reproduce the issue
+- Proof-of-concept or exploit code (if possible)
+- Impact of the issue, including how an attacker might exploit it
+
+## 🛡️ Security Measures in Place
+
+### **Static Analysis**
+- **CodeQL**: Automated security scanning on all pull requests
+- **Dependency Scanning**: Regular vulnerability detection
+- **License Compliance**: Automated license validation
+
+### **Dependency Management**
+- **Dependabot**: Automated security updates
+- **Pin Dependencies**: Critical dependencies pinned by hash
+- **Vulnerability Monitoring**: Continuous monitoring of known CVEs
+
+### **CI/CD Security**
+- **Least Privilege**: GitHub Actions use minimal required permissions
+- **Supply Chain Protection**: All third-party actions pinned by commit hash
+- **Secure Workflows**: No dangerous workflow patterns
+
+### **Infrastructure Security**
+- **Container Security**: Base images pinned to specific digests
+- **AWS IAM**: Least privilege access controls
+- **Encryption**: TLS 1.2+ for all communications
+
+## ⚡ Response Timeline
+
+- **Critical vulnerabilities**: 24-48 hours
+- **High severity**: 7 days
+- **Medium severity**: 30 days
+- **Low severity**: Next release cycle
+
+## 🔍 Security Testing
+
+This project undergoes regular security assessments:
+
+- **OpenSSF Scorecard**: Monthly comprehensive security analysis
+- **Dependency Scanning**: Weekly automated checks
+- **Static Analysis**: On every pull request
+- **Security Reviews**: Quarterly manual assessments
+
+## 🏛️ Governance
+
+Security decisions follow these principles:
+
+1. **Defense in Depth**: Multiple layers of security controls
+2. **Zero Trust**: Verify all access and communications
+3. **Least Privilege**: Minimum required access permissions
+4. **Continuous Monitoring**: Real-time threat detection
+5. **Incident Response**: Documented response procedures
+
+## 📚 Additional Resources
+
+- [OpenSSF Scorecard](https://github.com/ossf/scorecard) - Security health metrics
+- [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework) - Security guidelines
+- [OWASP Top 10](https://owasp.org/www-project-top-ten/) - Common vulnerabilities
+
+For questions about this security policy, please contact the project maintainers.
diff --git a/VERSION b/VERSION
index 03f488b07..c7cb1311a 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-5.3.0
+5.3.1
diff --git a/bin/build-assets b/bin/build-assets
new file mode 100755
index 000000000..4a214ae4a
--- /dev/null
+++ b/bin/build-assets
@@ -0,0 +1,7 @@
+#!/bin/bash
+set -e
+
+ROOT=$(pwd)
+
+./bin/build-lambdas
+./bin/build-images --export
diff --git a/bin/build-images b/bin/build-images
new file mode 100755
index 000000000..ae9377f21
--- /dev/null
+++ b/bin/build-images
@@ -0,0 +1,142 @@
+#!/bin/bash
+
+set -e
+
+ROOT=$(pwd)
+OUTPUT_DIR=$ROOT/dist/images
+DOCKER_CMD=$(command -v finch >/dev/null 2>&1 && echo "finch" || echo "docker")
+
+# Parse command line arguments
+UPLOAD=false
+EXPORT=false
+for arg in "$@"; do
+    case $arg in
+        --upload)
+            UPLOAD=true
+            shift
+            ;;
+        --export)
+            EXPORT=true
+            mkdir -p $OUTPUT_DIR
+            shift
+            ;;
+    esac
+done
+
+# Default LISA_VERSION if not set
+LISA_VERSION=${LISA_VERSION:-$(cat ./VERSION 2>/dev/null || echo "latest")}
+
+# ECR configuration
+ACCOUNT=${AWS_ACCOUNT:-""}
+REGION=${AWS_REGION:-"us-east-1"}
+DOMAIN=${AWS_DOMAIN:-"amazonaws.com"}
+ECR_BASE_URL=$ACCOUNT.dkr.ecr.$REGION.$DOMAIN
+
+# Function to build a single image
+build_image() {
+    local dockerfile_path="$1"
+    local repository_name="$2"
+    local image_tag="$3"
+    local build_context_path="$4"
+    shift 4
+    local build_args=("$@")
+
+    echo "Building image: $repository_name:$image_tag"
+    echo "Context: $build_context_path"
+
+    # Construct docker build command
+    local docker_cmd="$DOCKER_CMD build"
+
+    # Add build args
+    for arg in "${build_args[@]}"; do
+        docker_cmd="$docker_cmd --build-arg $arg"
+    done
+
+    # Add dockerfile, tag, and context
+    docker_cmd="$docker_cmd -f $build_context_path/$dockerfile_path -t $repository_name:$image_tag $build_context_path"
+
+    echo "Executing: $docker_cmd"
+    eval "$docker_cmd"
+    echo "Successfully built $repository_name:$image_tag"
+
+    # Upload to ECR if --upload flag is set
+    if [[ "$UPLOAD" == "true" && -n "$ACCOUNT" ]]; then
+        local ecr_tag="$ECR_BASE_URL/$repository_name:$image_tag"
+        echo "Tagging for ECR: $ecr_tag"
+        $DOCKER_CMD tag "$repository_name:$image_tag" "$ecr_tag"
+        echo "Pushing to ECR: $ecr_tag"
+        $DOCKER_CMD push "$ecr_tag"
+        echo "Successfully pushed $ecr_tag"
+    fi
+
+    # Export image if --export flag is set
+    if [[ "$EXPORT" == "true" ]]; then
+        local export_file="$OUTPUT_DIR/${repository_name}_${image_tag}.tar"
+        echo "Exporting image to: $export_file"
+        $DOCKER_CMD save "$repository_name:$image_tag" -o "$export_file"
+        echo "Successfully exported $export_file"
+    fi
+    echo ""
+}
+
+# Function to login to ECR
+ecr_login() {
+    if [[ "$UPLOAD" == "true" && -n "$ACCOUNT" ]]; then
+        echo "Logging into ECR..."
+        aws ecr get-login-password --region $REGION | $DOCKER_CMD login --username AWS --password-stdin $ACCOUNT.dkr.ecr.$REGION.$DOMAIN
+        echo "ECR login successful"
+        echo ""
+    fi
+}
+
+# Main function to build all images
+build_all_images() {
+    echo "Starting Docker image builds..."
+    echo "LISA_VERSION: $LISA_VERSION"
+    if [[ "$UPLOAD" == "true" && -n "$ACCOUNT" ]]; then
+        echo "ECR_BASE_URL: $ECR_BASE_URL"
+        echo "Upload: Enabled"
+    else
+        echo "Upload: Disabled"
+    fi
+    echo ""
+
+    ecr_login
+
+    # lisa-rest-api
+    python3 scripts/cache-tiktoken-for-offline.py ./lib/serve/rest-api/TIKTOKEN_CACHE
+    build_image "Dockerfile" "lisa-rest-api" "$LISA_VERSION" "./lib/serve/rest-api" \
+        "NODE_ENV=production" \
+        "LITELLM_CONFIG=\"db_key: sk-a8814208-0388-480c-9fc7-fea59607ca38\"" \
+        "BASE_IMAGE=python:3.11"
+
+    # lisa-batch-ingestion
+    RAG_DIR="./lib/rag/ingestion/ingestion-image"
+    BUILD_DIR="${RAG_DIR}/build"
+    mkdir -p "$BUILD_DIR"
+    rsync -av --exclude='__pycache__' ./lambda/ "$BUILD_DIR/"
+    build_image "Dockerfile" "lisa-batch-ingestion" "$LISA_VERSION" "$RAG_DIR" "NODE_ENV=production"
+
+    # lisa-tei
+    build_image "Dockerfile" "lisa-tei" "latest" "./lib/serve/ecs-model/embedding/tei" \
+        "NODE_ENV=production" \
+        "BASE_IMAGE=ghcr.io/huggingface/text-embeddings-inference:latest" \
+        "MOUNTS3_DEB_URL=https://s3.amazonaws.com/mountpoint-s3-release/latest/x86_64/mount-s3.deb"
+
+    # lisa-tgi
+    build_image "Dockerfile" "lisa-tgi" "latest" "./lib/serve/ecs-model/textgen/tgi" \
+        "NODE_ENV=production" \
+        "BASE_IMAGE=ghcr.io/huggingface/text-generation-inference:latest" \
+        "MOUNTS3_DEB_URL=https://s3.amazonaws.com/mountpoint-s3-release/latest/x86_64/mount-s3.deb"
+
+    # lisa-vllm
+    build_image "Dockerfile" "lisa-vllm" "latest" "./lib/serve/ecs-model/vllm" \
+        "NODE_ENV=production" \
+        "BASE_IMAGE=vllm/vllm-openai:latest" \
+        "MOUNTS3_DEB_URL=https://s3.amazonaws.com/mountpoint-s3-release/latest/x86_64/mount-s3.deb"
+
+    echo "All images built successfully!"
+}
+
+# Run the build
+build_all_images
diff --git a/bin/build-lambdas b/bin/build-lambdas
new file mode 100755
index 000000000..aa156a939
--- /dev/null
+++ b/bin/build-lambdas
@@ -0,0 +1,46 @@
+#!/bin/bash
+set -e
+
+ROOT=$(pwd)
+OUTPUT_DIR=$ROOT/dist/layers
+mkdir -p $OUTPUT_DIR
+
+PYPI_URL=${PYPI_URL:-https://pypi.org/simple/}
+source .venv/bin/activate
+
+build_layer() {
+  local package_name=$1
+  local source_path=$2
+  local pre_build_cmd=$3
+  echo "Building Lambda Layer $package_name from $source_path..."
+
+  if [ -n "$pre_build_cmd" ]; then
+    eval "$pre_build_cmd"
+  fi
+
+  cd $source_path
+  $ROOT/bin/package-lambda-layer --src . --output "$package_name.zip" --pypi $PYPI_URL --layer
+  mv ./build/"$package_name.zip" $OUTPUT_DIR/
+  rm -rf ./build
+  cd $ROOT
+}
+
+build_lambda() {
+  local package_name=$1
+  local source_path=$2
+  echo "Building Lambda $package_name from $source_path..."
+  cd "$source_path"
+  $ROOT/bin/package-lambda-layer --src . --output "$package_name.zip" --pypi $PYPI_URL
+  mv ./build/"$package_name.zip" $OUTPUT_DIR/
+  rm -rf ./build
+  cd $ROOT
+}
+
+echo "Building Python Lambda Layers..."
+build_layer "AimlAdcLisaCommonLayer" "./lib/core/layers/common"
+build_layer "AimlAdcLisaAuthLayer" "./lib/core/layers/authorizer"
+build_layer "AimlAdcLisaFastApiLayer" "./lib/core/layers/fastapi"
+build_layer "AimlAdcLisaRag" "./lib/rag/layer" "python3 scripts/cache-tiktoken-for-offline.py ./lib/rag/layer/TIKTOKEN_CACHE"
+
+echo "Building Python Lambdas..."
+build_lambda "AimlAdcLisaLambda" "./lambda"
diff --git a/bin/copy-deps.sh b/bin/copy-deps.sh
deleted file mode 100755
index c972a7247..000000000
--- a/bin/copy-deps.sh
+++ /dev/null
@@ -1,79 +0,0 @@
-#!/bin/bash
-
-function install_python_deps() {
-    local input_path=$1
-    local output_path=$2
-    local package=$3
-
-    echo "Installing Python dependencies for $package"
-    mkdir -p "${output_path}"
-    if ! pip install -r ${input_path}/requirements.txt --target $output_path --platform manylinux2014_x86_64 --only-binary=:all: --no-deps --no-cache-dir; then
-        echo "Failed to install Python dependencies for ${package}"
-        exit 1
-    fi
-
-    echo "${package} dependencies installed successfully"
-    rsync -a "${input_path}/" "${output_path}"
-
-    echo "Optimizing ${package}"
-    find $output_path -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null
-    find $output_path -type d -name "*.dist-info" -exec rm -rf {} + 2>/dev/null
-    find $output_path -type d -name "*.egg-info" -exec rm -rf {} + 2>/dev/null
-    find $output_path -type f -name "*.pyc" -delete
-    find $output_path -type f -name "*.pyo" -delete
-    find $output_path -type f -name "*.so" -exec strip {} + 2>/dev/null
-}
-
-function setup_python_dist(){
-    cd dist
-
-    # Define the layers
-    PYTHON_VERSION="3.11"
-    DIST="."
-    OUTPUT_DIR="python/lib/${PYTHON_VERSION}/site-packages"
-
-    # Create a virtual environment for isolation
-    python -m venv .venv
-    source .venv/bin/activate
-
-    # # Install dependencies for each lambda layer
-    layers=("authorizer" "common" "fastapi")
-    layers_path="../lib/core/layers"
-    layers_output="${DIST}/lambdaLayer"
-    for layer in "${layers[@]}"; do
-        # ./package-lambda-layer --src="${layers_path}/${layer}" --build="./dist/$layer" --output="${layers_output}/${layer}"
-        layer_path="${layers_path}/${layer}"
-        layer_output="${layers_output}/${layer}/${OUTPUT_DIR}"
-        install_python_deps $layer_path $layer_output $layer
-    done
-
-    # Install rag layer
-    rag_path="../lib/rag/layer"
-    rag_output="${DIST}/rag/${OUTPUT_DIR}"
-    rag_package="rag"
-    install_python_deps $rag_path $rag_output $rag_package
-
-    # Install lisa-sdk dependencies
-    sdk_path="../lisa-sdk"
-    sdk_output="${DIST}/lisa-sdk/${OUTPUT_DIR}"
-    sdk_package="lisa-sdk"
-    install_python_deps $sdk_path $sdk_output $sdk_package
-
-    # Deactivate virtual environment
-    deactivate
-    rm -rf .venv
-    echo "All Python dependencies installed successfully"
-    cd -
-}
-
-function copy_dist() {
-    mkdir -p dist/ecs_model_deployer && rsync -av ecs_model_deployer/dist/ dist/ecs_model_deployer/ && cp ecs_model_deployer/Dockerfile dist/ecs_model_deployer/
-    mkdir -p dist/vector_store_deployer && rsync -av vector_store_deployer/dist/ dist/vector_store_deployer/ && cp vector_store_deployer/Dockerfile dist/vector_store_deployer/
-    mkdir -p dist/lisa-web && rsync -av lib/user-interface/react/dist/ dist/lisa-web
-    mkdir -p dist/docs && rsync -av lib/docs/dist/ dist/docs
-    cp VERSION dist/
-}
-
-mkdir -p dist
-# setup_python_dist
-copy_dist
diff --git a/bin/package-lambda-layer b/bin/package-lambda-layer
index 18591b8ca..16cc05c1a 100755
--- a/bin/package-lambda-layer
+++ b/bin/package-lambda-layer
@@ -4,76 +4,141 @@ set -e
 SRC=src
 OUTPUT=Lambda.zip
 EXCLUDE_PACKAGES=""
-SRC_ROOT=$PWD
-BUILD_DIR=$SRC_ROOT/build
+BUILD_DIR=$PWD/build
+IS_LAYER=0
+TMP_DIR=$BUILD_DIR/tmp/
+PYPI_URL=
 
 # Parse named parameters
 while [ $# -gt 0 ]; do
-    case "$1" in
-        --src=*)
-            SRC="${1#*=}"
-            ;;
-        --output=*)
-            OUTPUT="${1#*=}"
-            ;;
-        --build=*)
-            BUILD_DIR="${1#*=}"
-            ;;
-        --exclude=*)
-            EXCLUDE_PACKAGES="${1#*=}"
-            ;;
-        *)
-            echo "Unknown parameter: $1"
-            echo "Usage: $0 --src=<source_dir> --output=<output_file> --exclude=<packages>"
-            exit 1
-            ;;
-    esac
+    if [[ $1 == *"="* ]]; then
+        # Handle --param=value style
+        param="${1%%=*}"
+        value="${1#*=}"
+
+        case "$param" in
+            --src)
+                SRC="$value"
+                ;;
+            --output)
+                OUTPUT="$value"
+                ;;
+            --build)
+                BUILD_DIR="$value"
+                ;;
+            --exclude)
+                EXCLUDE_PACKAGES="$value"
+                ;;
+            --pypi)
+                PYPI_URL="$value"
+                ;;
+            --layer)
+                IS_LAYER=1
+                ;;
+            *)
+                echo "Unknown parameter: $param"
+                echo "Usage: $0 --src <source_dir> --output <output_file> --exclude <packages> --layer"
+                exit 1
+                ;;
+        esac
+    else
+        # Handle --param value style
+        case "$1" in
+            --src)
+                shift
+                SRC="$1"
+                ;;
+            --output)
+                shift
+                OUTPUT="$1"
+                ;;
+            --build)
+                shift
+                BUILD_DIR="$1"
+                TMP_DIR=$BUILD_DIR/tmp/python/
+                ;;
+            --exclude)
+                shift
+                EXCLUDE_PACKAGES="$1"
+                ;;
+            --pypi)
+                shift
+                PYPI_URL="$1"
+                ;;
+            --layer)
+                IS_LAYER=1
+                ;;
+            *)
+                echo "Unknown parameter: $1"
+                echo "Usage: $0 --src <source_dir> --output <output_file> --exclude <packages>"
+                exit 1
+                ;;
+        esac
+    fi
     shift
 done
 
+echo "Starting"
+if [ $IS_LAYER -eq 1 ]; then
+    TMP_DIR=$BUILD_DIR/tmp/python/
+fi
+
+if [ -z "$PYPI_URL" ]; then
+    echo "Must supply PYPI_URL via --pypi"
+    exit 1
+fi
+
+# Extract IP from PYPI_URL for trusted host
+TRUSTED_HOST=$(echo $PYPI_URL | sed 's|http://||' | sed 's|/.*||')
+
+# Print parameters for debugging
+echo "Source directory: $SRC"
+echo "Output file: $OUTPUT"
+echo "Build directory: $BUILD_DIR"
+echo "Temp directory: $TMP_DIR"
+
+
 install_requirements() {
-    echo "installing requirements"
-    rm -rf "$BUILD_DIR"
-    mkdir -p "$BUILD_DIR/python"
-    python3 -m pip install "$SRC_ROOT" --target "${BUILD_DIR}/python"
+    echo "Installing requirements"
+    rm -rf "$TMP_DIR"
+    mkdir -p "$TMP_DIR"
+    if [ -f "$SRC/requirements.txt" ]; then
+        echo "Installing requirements from $SRC/requirements.txt"
+        echo "Using python version $(python3 --version)"
+        python3 -m pip install -r "$SRC/requirements.txt" --force-reinstall --no-cache-dir --target "$TMP_DIR" --index-url $PYPI_URL --trusted-host $TRUSTED_HOST
+    else
+        echo "No requirements.txt found in $SRC"
+    fi
 }
 
 
 build_package() {
-    echo "building package"
+    echo "Building package"
     if [ -d "$SRC" ]; then
-        cp -r "$SRC"/* "${BUILD_DIR}/python/"
-    fi
-}
-
-copy_configuration() {
-    echo "copying configuration"
-    if [ -d "configuration/Packaging" ]; then
-        cp -a configuration/Packaging "$BUILD_DIR"
+        rsync -av --exclude='build' --exclude='.hatch' --exclude='.venv' "$SRC/" "$TMP_DIR/"
     fi
 }
 
 package_artifacts() {
-    echo "packaging"
+    echo "Packaging"
     if [ -n "$EXCLUDE_PACKAGES" ]; then
         echo "Removing excluded packages: $EXCLUDE_PACKAGES"
         for pkg in ${EXCLUDE_PACKAGES//,/ }; do
             echo "Removing $pkg"
-            rm -rf ${BUILD_DIR}/python/${pkg}
-            rm -rf ${BUILD_DIR}/python/${pkg}-*
+            rm -rf ${TMP_DIR}/${pkg}
+            rm -rf ${TMP_DIR}/${pkg}-*
             # Also remove egg-info directories
-            find "${BUILD_DIR}/python" -type d -name "${pkg}*egg-info" -exec rm -rf {} +
+            find "$TMP_DIR" -type d -name "${pkg}*egg-info" -exec rm -rf {} +
         done
     fi
 
     # AWS Lambda recommends to exclude __pycache__: https://docs.aws.amazon.com/lambda/latest/dg/python-package.html#python-package-pycache
-    find "${BUILD_DIR}/python" -depth -name __pycache__ -exec rm -rf {} \;
-    cd "${BUILD_DIR}"
-    zip "${BUILD_DIR}/${OUTPUT}" ./python -r
-    rm -rf "${BUILD_DIR}/python"
+    find "${TMP_DIR}" -depth -name __pycache__ -exec rm -rf {} \;
+    cd "${BUILD_DIR}/tmp/"
+    zip -r "${BUILD_DIR}/${OUTPUT}" .
+    rm -rf "${BUILD_DIR}/tmp"
 }
 
 install_requirements
 build_package
-copy_configuration
 package_artifacts
diff --git a/cypress/src/smoke/fixtures/models.json b/cypress/src/smoke/fixtures/models.json
index af61f2e27..6a10fd5ab 100644
--- a/cypress/src/smoke/fixtures/models.json
+++ b/cypress/src/smoke/fixtures/models.json
@@ -2,7 +2,7 @@
   "models": [
     {
       "autoScalingConfig": {
-        "blockDeviceVolumeSize": 30,
+        "blockDeviceVolumeSize": 50,
         "minCapacity": 1,
         "maxCapacity": 1,
         "cooldown": 420,
diff --git a/ecs_model_deployer/src/lib/ecsCluster.ts b/ecs_model_deployer/src/lib/ecsCluster.ts
index 45b95cd95..280676e6a 100644
--- a/ecs_model_deployer/src/lib/ecsCluster.ts
+++ b/ecs_model_deployer/src/lib/ecsCluster.ts
@@ -124,9 +124,9 @@ export class ECSCluster extends Construct {
         // we want to set these based on the task created but currently the ECSCluster for model
         // will only create one task, so grab these values during creation so we can set the properties
         // on this class
-        let container;
-        let taskRole;
-        let endpointUrl;
+        let container: ContainerDefinition | undefined;
+        let taskRole: IRole | undefined;
+        let endpointUrl: string | undefined;
 
         Object.entries(ecsConfig.tasks).forEach(([, taskDefinition]) => {
             const environment = taskDefinition.environment;
@@ -201,7 +201,7 @@ export class ECSCluster extends Construct {
             }
 
             const roleId = identifier;
-            const taskRole = taskRoleName ?
+            taskRole = taskRoleName ?
                 Role.fromRoleName(this, createCdkId([config.deploymentName, roleId]), taskRoleName) :
                 this.createTaskRole(config.deploymentName ?? '', config.deploymentPrefix, roleId);
 
@@ -231,7 +231,7 @@ export class ECSCluster extends Construct {
                     : undefined;
 
             const image = CodeFactory.createImage(taskDefinition.containerConfig.image, this, identifier, ecsConfig.buildArgs);
-            const container = ec2TaskDefinition.addContainer(createCdkId([identifier, 'Container']), {
+            container = ec2TaskDefinition.addContainer(createCdkId([identifier, 'Container']), {
                 containerName: createCdkId([config.deploymentName, identifier], 32, 2),
                 image,
                 environment,
@@ -322,15 +322,20 @@ export class ECSCluster extends Construct {
             const domain = loadBalancer.loadBalancerDnsName;
 
             endpointUrl = `${protocol}://${domain}`;
+        });
 
-            new CfnOutput(this, 'modelEndpointurl', {
-                key: 'modelEndpointUrl',
-                value: this.endpointUrl,
-            });
+        // Validate endpointUrl is set before creating output
+        if (!endpointUrl) {
+            throw new Error('Failed to create endpoint URL - no tasks configured');
+        }
+
+        new CfnOutput(this, 'modelEndpointurl', {
+            key: 'modelEndpointUrl',
+            value: endpointUrl,
         });
 
         // Update
-        this.endpointUrl = endpointUrl!;
+        this.endpointUrl = endpointUrl;
         this.container = container!;
         this.taskRole = taskRole!;
     }
diff --git a/lambda/authorizer/lambda_functions.py b/lambda/authorizer/lambda_functions.py
index ed6716e89..db1aca7b9 100644
--- a/lambda/authorizer/lambda_functions.py
+++ b/lambda/authorizer/lambda_functions.py
@@ -18,7 +18,6 @@
 import os
 import ssl
 from datetime import datetime
-from functools import cache
 from typing import Any, Dict
 
 import boto3
@@ -26,6 +25,7 @@
 import jwt
 import requests
 from botocore.exceptions import ClientError
+from cachetools import cached, TTLCache
 from utilities.common_functions import authorization_wrapper, get_id_token, get_property_path, retry_config
 
 logger = logging.getLogger(__name__)
@@ -203,7 +203,7 @@ def find_jwt_username(jwt_data: dict[str, str]) -> str:
     return username
 
 
-@cache
+@cached(cache=TTLCache(maxsize=1, ttl=300))
 def get_management_tokens() -> list[str]:
     """Return secret management tokens if they exist."""
     secret_tokens: list[str] = []
diff --git a/lambda/configuration/lambda_functions.py b/lambda/configuration/lambda_functions.py
index 71fe29dfd..4d96a507b 100644
--- a/lambda/configuration/lambda_functions.py
+++ b/lambda/configuration/lambda_functions.py
@@ -21,7 +21,6 @@
 from typing import Any, Dict
 
 import boto3
-import create_env_variables  # noqa: F401
 from botocore.exceptions import ClientError
 from mcp_server.models import McpServerModel
 from mcp_workbench.lambda_functions import MCPWORKBENCH_UUID
diff --git a/lambda/models/domain_objects.py b/lambda/models/domain_objects.py
index bf0ccd79b..98e4f51d1 100644
--- a/lambda/models/domain_objects.py
+++ b/lambda/models/domain_objects.py
@@ -99,7 +99,7 @@ class LoadBalancerConfig(BaseModel):
 class AutoScalingConfig(BaseModel):
     """Specifies auto-scaling parameters for model deployment."""
 
-    blockDeviceVolumeSize: Optional[NonNegativeInt] = 30
+    blockDeviceVolumeSize: Optional[NonNegativeInt] = 50
     minCapacity: NonNegativeInt
     maxCapacity: NonNegativeInt
     cooldown: PositiveInt
diff --git a/lambda/models/model_api_key_cleanup.py b/lambda/models/model_api_key_cleanup.py
new file mode 100644
index 000000000..84a750670
--- /dev/null
+++ b/lambda/models/model_api_key_cleanup.py
@@ -0,0 +1,321 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""
+Model API Key Cleanup Lambda
+
+This Lambda function removes the api_key field from existing Bedrock models
+that were created with the old LiteLLM version that required api_key = "ignored".  # pragma: allowlist secret
+This fixes "Invalid API Key format" errors for Bedrock models that don't need API keys.
+
+Only models with modelName prefixed with "bedrock/" are processed.
+
+The cleanup runs automatically during CDK deployment via a CustomResource.
+"""
+
+import json
+import os
+import sys
+from typing import Any, Dict, List
+
+import boto3
+import psycopg2
+from utilities.common_functions import retry_config
+
+# Add the lambda directory to the Python path
+sys.path.append("/opt/python")
+sys.path.append("/var/task")
+
+
+def get_all_dynamodb_models() -> List[Dict[str, str]]:
+    """Get all models from DynamoDB table with their IDs and names."""
+    try:
+        dynamodb = boto3.client("dynamodb", region_name=os.environ["AWS_REGION"], config=retry_config)
+        ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"], config=retry_config)
+
+        # Get model table name from SSM parameter
+        deployment_prefix = os.environ.get("DEPLOYMENT_PREFIX")
+        if not deployment_prefix:
+            raise ValueError("DEPLOYMENT_PREFIX environment variable not set")
+        model_table_param = f"{deployment_prefix}/modelTableName"
+
+        try:
+            table_name_response = ssm_client.get_parameter(Name=model_table_param)
+            table_name = table_name_response["Parameter"]["Value"]
+
+            if not table_name:
+                raise ValueError("Empty table name returned from SSM")
+
+        except Exception as e:
+            print(f"Could not get model table name from SSM: {e}")
+            return []
+
+        # Scan the entire DynamoDB table to get all models
+        response = dynamodb.scan(TableName=table_name)
+
+        models = []
+        for item in response.get("Items", []):
+            # Extract model_id and modelName from the item with proper validation
+            model_id = item.get("model_id", {}).get("S", "")
+            model_config = item.get("model_config", {})
+            model_name = ""
+
+            if "M" in model_config and "modelName" in model_config["M"]:
+                model_name = model_config["M"]["modelName"].get("S", "")
+
+            # Only include models with both ID and name
+            if model_id and model_name:
+                models.append({"model_id": model_id, "model_name": model_name})
+
+        print(f"Found {len(models)} models in DynamoDB")
+        return models
+
+    except Exception as e:
+        print(f"Error scanning DynamoDB table: {e}")
+        return []
+
+
+def get_database_connection():
+    """Get database connection using connection info from SSM."""
+    ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"], config=retry_config)
+
+    # Get database connection info from SSM using environment variable
+    deployment_prefix = os.environ.get("DEPLOYMENT_PREFIX")
+    if not deployment_prefix:
+        raise ValueError("DEPLOYMENT_PREFIX environment variable not set")
+    db_param_name = f"{deployment_prefix}/LiteLLMDbConnectionInfo"
+
+    try:
+        db_param_response = ssm_client.get_parameter(Name=db_param_name, WithDecryption=True)
+        db_params = json.loads(db_param_response["Parameter"]["Value"])
+    except Exception as e:
+        raise ValueError(f"Failed to get database connection info from SSM: {e}")
+
+    # Get database credentials from Secrets Manager
+    try:
+        secrets_client = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"], config=retry_config)
+        secret_response = secrets_client.get_secret_value(SecretId=db_params["passwordSecretId"])
+        secret = json.loads(secret_response["SecretString"])
+    except Exception as e:
+        raise ValueError(f"Failed to get database credentials from Secrets Manager: {e}")
+
+    # Validate required parameters
+    required_params = ["dbHost", "dbPort", "dbName", "username"]
+    for param in required_params:
+        if param not in db_params:
+            raise ValueError(f"Missing required database parameter: {param}")
+
+    if "password" not in secret:
+        raise ValueError("Missing password in secret")
+
+    # Create connection with proper error handling
+    try:
+        conn = psycopg2.connect(
+            host=db_params["dbHost"],
+            port=db_params["dbPort"],
+            database=db_params["dbName"],
+            user=db_params["username"],
+            password=secret["password"],
+        )
+        return conn
+    except Exception as e:
+        raise ValueError(f"Failed to connect to database: {e}")
+
+
+def lambda_handler(event: Dict[str, Any], context: Any) -> Dict[str, Any]:
+    """
+    Lambda handler for Bedrock model API key cleanup.
+
+    Only processes models with modelName prefixed with "bedrock/".
+
+    Args:
+        event: CloudFormation CustomResource event
+        context: Lambda context
+
+    Returns:
+        CloudFormation CustomResource response
+    """
+    print("Starting Bedrock model API key cleanup...")
+
+    # Validate environment variables
+    required_env_vars = ["AWS_REGION", "DEPLOYMENT_PREFIX"]
+    for env_var in required_env_vars:
+        if not os.environ.get(env_var):
+            error_msg = f"Missing required environment variable: {env_var}"
+            print(error_msg)
+            return {"Status": "FAILED", "PhysicalResourceId": "bedrock-auth-cleanup", "Reason": error_msg}
+
+    conn = None
+    cursor = None
+
+    try:
+        # Get database connection
+        conn = get_database_connection()
+        cursor = conn.cursor()
+
+        # First, let's see what tables exist in the database
+        cursor.execute("SELECT table_name FROM information_schema.tables WHERE table_schema = 'public'")
+        tables = cursor.fetchall()
+        print(f"Available tables in database: {[table[0] for table in tables]}")
+
+        # Try to find the correct LiteLLM model table name
+        litellm_table = None
+        for table in tables:
+            table_name = table[0]
+            if "proxymodel" in table_name.lower() or table_name == "LiteLLM_ProxyModelTable":
+                litellm_table = table_name
+                print(f"Found LiteLLM model table: {table_name}")
+                break
+
+        if not litellm_table:
+            print("No LiteLLM model table found in database. Database might not be initialized yet.")
+            print("Bedrock model cleanup completed! 0 Bedrock models updated (no LiteLLM tables found)")
+            # Return success response for CloudFormation CustomResource
+            return {"Status": "SUCCESS", "PhysicalResourceId": "bedrock-auth-cleanup", "Data": {"ModelsUpdated": "0"}}
+
+        # Query all models from the LiteLLM database using the found table (use quotes for case-sensitive names)
+        cursor.execute(f'SELECT * FROM "{litellm_table}" LIMIT 1')
+        columns = [desc[0] for desc in cursor.description]
+        print(f"Table {litellm_table} columns: {columns}")
+
+        # Try to find the correct column names
+        model_id_col = next((col for col in columns if "id" in col.lower()), None)
+        model_name_col = next((col for col in columns if "name" in col.lower()), None)
+        litellm_params_col = next((col for col in columns if "param" in col.lower()), None)
+
+        if not all([model_id_col, model_name_col, litellm_params_col]):
+            print(f"Could not find required columns in table {litellm_table}")
+            print(f"    Available columns: {columns}")
+            print("Bedrock model cleanup completed! 0 Bedrock models updated (LiteLLM table structure unknown)")
+            # Return success response for CloudFormation CustomResource
+            return {"Status": "SUCCESS", "PhysicalResourceId": "bedrock-auth-cleanup", "Data": {"ModelsUpdated": "0"}}
+
+        # Query all models from the LiteLLM database
+        cursor.execute(f'SELECT "{model_id_col}", "{model_name_col}", "{litellm_params_col}" FROM "{litellm_table}"')
+        models = cursor.fetchall()
+
+        print(f"Found {len(models)} total models in LiteLLM database")
+
+        # Get all models from DynamoDB and check if they exist in LiteLLM
+        dynamodb_models = get_all_dynamodb_models()
+        bedrock_models_processed = 0
+
+        for dynamodb_model in dynamodb_models:
+            dynamodb_model_id = dynamodb_model["model_id"]
+            dynamodb_model_name = dynamodb_model["model_name"]
+
+            # Check if this is a Bedrock model
+            if not dynamodb_model_name.startswith("bedrock/"):
+                continue
+
+            print(f"Processing Bedrock model: {dynamodb_model_name}")
+
+            # Find the corresponding LiteLLM model by matching the model_name (alias)
+            # DynamoDB model_id is actually the alias, LiteLLM model_name is the alias
+            matching_litellm_model = None
+            for model_id, model_name, litellm_params_data in models:
+                # Check if this LiteLLM model_name matches our DynamoDB model_id (which is the alias)
+                if model_name == dynamodb_model_id:
+                    try:
+                        # Handle both dict and JSON string formats
+                        if isinstance(litellm_params_data, dict):
+                            litellm_params = litellm_params_data
+                        elif isinstance(litellm_params_data, str):
+                            litellm_params = json.loads(litellm_params_data) if litellm_params_data else {}
+                        else:
+                            litellm_params = {}
+                    except json.JSONDecodeError:
+                        continue
+
+                    matching_litellm_model = {
+                        "model_id": model_id,
+                        "model_name": model_name,
+                        "litellm_params": litellm_params,
+                    }
+                    break
+
+            if not matching_litellm_model:
+                print(f"No matching LiteLLM model found for: {dynamodb_model_name}")
+                continue
+
+            # Check if this model has an api_key to remove
+            if "api_key" in matching_litellm_model["litellm_params"]:
+                print(f"Removing api_key from: {matching_litellm_model['model_name']}")
+
+                try:
+                    # Remove api_key from litellm_params
+                    clean_params = matching_litellm_model["litellm_params"].copy()
+                    if "api_key" in clean_params:  # pragma: allowlist secret
+                        del clean_params["api_key"]
+
+                    # Update the model in the database
+                    clean_params_json = json.dumps(clean_params)
+                    cursor.execute(
+                        f'UPDATE "{litellm_table}" SET "{litellm_params_col}" = %s WHERE "{model_id_col}" = %s',
+                        (clean_params_json, matching_litellm_model["model_id"]),
+                    )
+                    print(f"Successfully cleaned model: {matching_litellm_model['model_name']}")
+                    bedrock_models_processed += 1
+
+                except Exception as e:
+                    print(f"Error cleaning model {matching_litellm_model['model_name']}: {e}")
+                    conn.rollback()
+            else:
+                print(f"Model {matching_litellm_model['model_name']} already clean")
+
+        # Commit the changes
+        conn.commit()
+        print(f"Cleanup completed! {bedrock_models_processed} Bedrock models processed")
+
+        # Return success response for CloudFormation CustomResource
+        return {
+            "Status": "SUCCESS",
+            "PhysicalResourceId": "bedrock-auth-cleanup",
+            "Data": {"ModelsUpdated": str(bedrock_models_processed)},
+        }
+
+    except ValueError as e:
+        # Handle configuration/validation errors
+        print(f"Configuration error: {e}")
+        return {"Status": "FAILED", "PhysicalResourceId": "bedrock-auth-cleanup", "Reason": str(e)}
+
+    except Exception as e:
+        # Handle unexpected errors
+        print(f"Cleanup failed: {e}")
+        import traceback
+
+        print(f"Traceback: {traceback.format_exc()}")
+
+        # Rollback any pending database changes
+        if conn:
+            try:
+                conn.rollback()
+            except Exception as rollback_error:
+                print(f"Failed to rollback database changes: {rollback_error}")
+
+        return {"Status": "FAILED", "PhysicalResourceId": "bedrock-auth-cleanup", "Reason": str(e)}
+
+    finally:
+        # Ensure proper cleanup of database resources
+        if cursor:
+            try:
+                cursor.close()
+            except Exception as e:
+                print(f"Error closing cursor: {e}")
+
+        if conn:
+            try:
+                conn.close()
+            except Exception as e:
+                print(f"Error closing database connection: {e}")
diff --git a/lambda/models/state_machine/create_model.py b/lambda/models/state_machine/create_model.py
index 769acbaa7..b757c0238 100644
--- a/lambda/models/state_machine/create_model.py
+++ b/lambda/models/state_machine/create_model.py
@@ -30,7 +30,12 @@
     StackFailedToCreateException,
     UnexpectedCloudFormationStateException,
 )
-from utilities.common_functions import get_cert_path, get_rest_api_container_endpoint, retry_config
+from utilities.common_functions import (
+    get_account_and_partition,
+    get_cert_path,
+    get_rest_api_container_endpoint,
+    retry_config,
+)
 
 logger = logging.getLogger()
 logger.setLevel(logging.INFO)
@@ -236,15 +241,10 @@ def camelize_object(o):  # type: ignore[no-untyped-def]
     # Handle ECR images differently - use the existing ECR image instead of the built one
     if event["image_info"].get("image_type") == "ecr":
         # For pre-existing ECR images, construct the ARN using the image repository
-        account_id = os.environ.get("AWS_ACCOUNT_ID", "")
-        if not account_id:
-            # Try to get account ID from the existing ECR repository ARN
-            ecr_repo_arn = os.environ.get("ECR_REPOSITORY_ARN", "")
-            if ecr_repo_arn:
-                account_id = ecr_repo_arn.split(":")[4]
+        account_id, partition = get_account_and_partition()
 
         repository_arn = (
-            f"arn:aws:ecr:{os.environ['AWS_REGION']}:{account_id}:repository/{event['image_info']['image_uri']}"
+            f"arn:{partition}:ecr:{os.environ['AWS_REGION']}:{account_id}:repository/{event['image_info']['image_uri']}"
         )
         prepared_event["containerConfig"]["image"] = {
             "repositoryArn": repository_arn,
@@ -269,11 +269,17 @@ def camelize_object(o):  # type: ignore[no-untyped-def]
     stack_name = payload.get("stackName", None)
 
     if not stack_name:
+        # Log the full payload for debugging
+        logger.error(f"ECS Model Deployer response: {payload}")
+        error_message = payload.get("errorMessage", "Unknown error")
+        error_type = payload.get("errorType", "Unknown error type")
+
         raise StackFailedToCreateException(
             json.dumps(
                 {
-                    "error": "Failed to create Model CloudFormation Stack. Please validate model parameters are valid.",
+                    "error": f"Failed to create Model CloudFormation Stack. {error_type}: {error_message}",
                     "event": event,
+                    "deployer_response": payload,
                 }
             )
         )
@@ -351,9 +357,9 @@ def handle_add_model_to_litellm(event: Dict[str, Any], context: Any) -> Dict[str
         # Fallback to default if JSON parsing fails
         litellm_params = {}
 
-    litellm_params["api_key"] = event.get(
-        "apiKey", "ignored"
-    )  # pragma: allowlist-secret not a real key, but needed for LiteLLM to be happy
+    # Only set api_key if it's present in the event
+    if "apiKey" in event:
+        litellm_params["api_key"] = event["apiKey"]  # pragma: allowlist-secret
     litellm_params["drop_params"] = True  # drop unrecognized param instead of failing the request on it
 
     if is_lisa_managed:
@@ -368,7 +374,18 @@ def handle_add_model_to_litellm(event: Dict[str, Any], context: Any) -> Dict[str
         litellm_params=litellm_params,
     )
 
-    litellm_id = litellm_response["model_info"]["id"]
+    # Handle different LiteLLM API response structures
+    if "model_info" in litellm_response and "id" in litellm_response["model_info"]:
+        litellm_id = litellm_response["model_info"]["id"]
+    elif "id" in litellm_response:
+        litellm_id = litellm_response["id"]
+    elif "model_id" in litellm_response:
+        litellm_id = litellm_response["model_id"]
+    else:
+        # Log the actual response structure for debugging
+        logger.error(f"Unexpected LiteLLM response structure: {litellm_response}")
+        raise KeyError(f"Could not find model ID in LiteLLM response: {litellm_response}")
+
     output_dict["litellm_id"] = litellm_id
 
     model_table.update_item(
diff --git a/lambda/models/state_machine/update_model.py b/lambda/models/state_machine/update_model.py
index 8965304ab..7479cc49a 100644
--- a/lambda/models/state_machine/update_model.py
+++ b/lambda/models/state_machine/update_model.py
@@ -391,7 +391,6 @@ def handle_finish_update(event: Dict[str, Any], context: Any) -> Dict[str, Any]:
 
     litellm_params["model"] = f"openai/{ddb_item['model_config']['modelName']}"
     litellm_params["api_base"] = model_url
-    litellm_params["api_key"] = "ignored"  # pragma: allowlist-secret not a real key, but needed for LiteLLM to be happy
 
     ddb_update_expression = "SET model_status = :ms, last_modified_date = :lm"
     ddb_update_values: Dict[str, Any] = {
diff --git a/lambda/repository/embeddings.py b/lambda/repository/embeddings.py
index 9f4863baf..c36186be7 100644
--- a/lambda/repository/embeddings.py
+++ b/lambda/repository/embeddings.py
@@ -14,13 +14,14 @@
 
 import logging
 import os
-from typing import Any, List
+from typing import List
 
 import boto3
 import requests
-from lisapy.langchain import LisaOpenAIEmbeddings
-from utilities.common_functions import get_cert_path, retry_config
-from utilities.validation import ValidationError
+from pydantic import BaseModel, field_validator
+from utilities.auth import get_management_key
+from utilities.common_functions import get_cert_path, get_rest_api_container_endpoint, retry_config
+from utilities.validation import validate_model_name, ValidationError
 
 logger = logging.getLogger(__name__)
 ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"], config=retry_config)
@@ -30,39 +31,47 @@
 lisa_api_endpoint = ""
 
 
-class PipelineEmbeddings:
+class RagEmbeddings(BaseModel):
     """
-    Handles document embeddings for pipeline processing using management credentials.
-
-    This class provides methods to embed both single queries and batches of documents
-    using the LISA API with management-level authentication.
+    Handles document embeddings through LiteLLM using management credentials.
     """
 
     model_name: str
-
-    def __init__(self, model_name: str) -> None:
+    token: str
+    lisa_api_endpoint: str
+    base_url: str
+    cert_path: str | bool
+
+    @field_validator("model_name")
+    @classmethod
+    def validate_model_name(cls, v: str) -> str:
+        validate_model_name(v)
+        return v
+
+    def __init__(self, model_name: str, id_token: str | None = None, **data) -> None:
+        # Prepare initialization data
+        init_data = {"model_name": model_name, **data}
         try:
-            self.model_name = model_name
-            # Get the management key secret name from SSM Parameter Store
-            secret_name_param = ssm_client.get_parameter(Name=os.environ["MANAGEMENT_KEY_SECRET_NAME_PS"])
-            secret_name = secret_name_param["Parameter"]["Value"]
-
-            # Get the management token from Secrets Manager using the secret name
-            secret_response = secrets_client.get_secret_value(SecretId=secret_name)
-            self.token = secret_response["SecretString"]
-
-            # Get the API endpoint from SSM
-            lisa_api_param_response = ssm_client.get_parameter(Name=os.environ["LISA_API_URL_PS_NAME"])
-            self.base_url = f"{lisa_api_param_response['Parameter']['Value']}/{os.environ['REST_API_VERSION']}/serve"
-
-            # Get certificate path for SSL verification
-            self.cert_path = get_cert_path(iam_client)
-
+            # Use management token if id_token is not provided
+            if id_token is None:
+                logger.info("Using management key for ingestion")
+                init_data["token"] = get_management_key()
+            else:
+                init_data["token"] = id_token
+
+            init_data["lisa_api_endpoint"] = get_rest_api_container_endpoint()
+            init_data["base_url"] = get_rest_api_container_endpoint()
+            init_data["cert_path"] = get_cert_path(iam_client)
+
+            super().__init__(**init_data)
             logger.info("Successfully initialized pipeline embeddings")
         except Exception:
             logger.error("Failed to initialize pipeline embeddings", exc_info=True)
             raise
 
+    class Config:
+        arbitrary_types_allowed = True
+
     def embed_documents(self, texts: List[str]) -> List[List[float]]:
         """
         Generate embeddings for a list of documents.
@@ -88,14 +97,13 @@ def embed_documents(self, texts: List[str]) -> List[List[float]]:
             response = requests.post(
                 url,
                 json=request_data,
-                headers={"Authorization": self.token, "Content-Type": "application/json"},
+                headers={"Authorization": f"Bearer {self.token}", "Content-Type": "application/json"},
                 verify=self.cert_path,  # Use proper SSL verification
                 timeout=300,  # 5 minute timeout
             )
 
             if response.status_code != 200:
                 logger.error(f"Embedding request failed with status {response.status_code}")
-                logger.error(f"Response content: {response.text}")
                 raise Exception(f"Embedding request failed with status {response.status_code}")
 
             result = response.json()
@@ -148,45 +156,3 @@ def embed_query(self, text: str) -> List[float]:
 
         logger.info("Embedding single query text")
         return self.embed_documents([text])[0]
-
-
-def get_embeddings_pipeline(model_name: str) -> Any:
-    """
-    Get embeddings for pipeline requests using management token.
-
-    Args:
-        model_name: Name of the embedding model to use
-
-    Raises:
-        ValidationError: If model name is invalid
-        Exception: If API request fails
-    """
-    logger.info("Starting pipeline embeddings request")
-
-    return PipelineEmbeddings(model_name=model_name)
-
-
-def get_embeddings(model_name: str, id_token: str) -> LisaOpenAIEmbeddings:
-    """
-    Initialize and return an embeddings client for the specified model.
-
-    Args:
-        model_name: Name of the embedding model to use
-        id_token: Authentication token for API access
-
-    Returns:
-        LisaOpenAIEmbeddings: Configured embeddings client
-    """
-    global lisa_api_endpoint
-
-    if not lisa_api_endpoint:
-        lisa_api_param_response = ssm_client.get_parameter(Name=os.environ["LISA_API_URL_PS_NAME"])
-        lisa_api_endpoint = lisa_api_param_response["Parameter"]["Value"]
-
-    base_url = f"{lisa_api_endpoint}/{os.environ['REST_API_VERSION']}/serve"
-    cert_path = get_cert_path(iam_client)
-
-    embedding = LisaOpenAIEmbeddings(
-        lisa_openai_api_base=base_url, model=model_name, api_token=id_token, verify=cert_path
-    )
-    return embedding
diff --git a/lambda/repository/lambda_functions.py b/lambda/repository/lambda_functions.py
index 9422b81a9..a20dc0f43 100644
--- a/lambda/repository/lambda_functions.py
+++ b/lambda/repository/lambda_functions.py
@@ -23,7 +23,7 @@
 from boto3.dynamodb.types import TypeSerializer
 from botocore.config import Config
 from models.domain_objects import FixedChunkingStrategy, IngestionJob, IngestionStatus, RagDocument
-from repository.embeddings import get_embeddings
+from repository.embeddings import RagEmbeddings
 from repository.ingestion_job_repo import IngestionJobRepository
 from repository.ingestion_service import DocumentIngestionService
 from repository.rag_document_repo import RagDocumentRepository
@@ -40,7 +40,6 @@
 region_name = os.environ["AWS_REGION"]
 session = boto3.Session()
 ssm_client = boto3.client("ssm", region_name, config=retry_config)
-secrets_client = boto3.client("secretsmanager", region_name, config=retry_config)
 iam_client = boto3.client("iam", region_name, config=retry_config)
 step_functions_client = boto3.client("stepfunctions", region_name, config=retry_config)
 ddb_client = boto3.client("dynamodb", region_name, config=retry_config)
@@ -109,6 +108,7 @@ def similarity_search(event: dict, context: dict) -> Dict[str, Any]:
             - queryStringParameters.query: Search query text
             - queryStringParameters.repositoryType: Type of repository
             - queryStringParameters.topK (optional): Number of results to return (default: 3)
+            - queryStringParameters.score (optional): Include similarity scores (default: false)
         context (dict): The Lambda context object
 
     Returns:
@@ -122,6 +122,7 @@ def similarity_search(event: dict, context: dict) -> Dict[str, Any]:
     model_name = query_string_params["modelName"]
     query = query_string_params["query"]
     top_k = query_string_params.get("topK", 3)
+    include_score = query_string_params.get("score", "false").lower() == "true"
     repository_id = event["pathParameters"]["repositoryId"]
 
     repository = vs_repo.find_repository_by_id(repository_id)
@@ -139,7 +140,7 @@ def similarity_search(event: dict, context: dict) -> Dict[str, Any]:
             repository_id=repository_id,
         )
     else:
-        embeddings = get_embeddings(model_name=model_name, id_token=id_token)
+        embeddings = RagEmbeddings(model_name=model_name, id_token=id_token)
         vs = get_vector_store_client(repository_id, index=model_name, embeddings=embeddings)
 
         # empty vector stores do not have an initialize index. Return empty docs
@@ -148,11 +149,11 @@ def similarity_search(event: dict, context: dict) -> Dict[str, Any]:
         ):
             logger.info(f"Index {model_name} does not exist. Returning empty docs.")
         else:
-            results = vs.similarity_search(
-                query,
-                k=top_k,
+            docs = (
+                _similarity_search_with_score(vs, query, top_k, repository)
+                if include_score
+                else _similarity_search(vs, query, top_k)
             )
-            docs = [{"page_content": r.page_content, "metadata": r.metadata} for r in results]
     doc_content = [
         {
             "Document": {
@@ -536,6 +537,48 @@ def delete(event: dict, context: dict) -> Any:
         return {"status": "success", "executionArn": response["executionArn"]}
 
 
+@api_wrapper
+@admin_only
+def delete_index(event: dict, context: dict) -> None:
+    """
+    Clear the vector store for the specified repository and model.
+
+    Args:
+        event (dict): The Lambda event object containing path parameters
+        context (dict): The Lambda context object
+    """
+    path_params = event.get("pathParameters", {}) or {}
+    repository_id = path_params.get("repositoryId", None)
+    if not repository_id:
+        raise ValidationError("repositoryId is required")
+    model_name = path_params.get("modelName", None)
+    if not model_name:
+        raise ValidationError("modelName is required")
+
+    repository = vs_repo.find_repository_by_id(repository_id=repository_id)
+    id_token = get_id_token(event)
+    embeddings = RagEmbeddings(model_name=model_name, id_token=id_token)
+    vs = get_vector_store_client(repository_id, index=model_name, embeddings=embeddings)
+
+    try:
+        if RepositoryType.is_type(repository, RepositoryType.OPENSEARCH):
+            if vs.client.indices.exists(index=model_name):
+                vs.client.indices.delete(index=model_name)
+                logger.info(f"Deleted OpenSearch index: {model_name}")
+            else:
+                logger.info(f"OpenSearch index {model_name} does not exist")
+        elif RepositoryType.is_type(repository, RepositoryType.PGVECTOR):
+            # For PGVector, delete all documents in the collection
+            vs.delete_collection()
+            logger.info(f"Deleted PGVector collection: {model_name}")
+        else:
+            logger.error(f"Unsupported repository type: {repository.get('type')}")
+            return {"status": "error", "message": "Repository is not supported"}
+    except Exception as e:
+        logger.error(f"Failed to clear vector store: {e}")
+        return {"status": "error", "message": str(e)}
+
+
 def _remove_legacy(repository_id: str) -> None:
     registered_repositories = ssm_client.get_parameter(Name=os.environ["REGISTERED_REPOSITORIES_PS"])
     registered_repositories = json.loads(registered_repositories["Parameter"]["Value"])
@@ -549,3 +592,59 @@ def _remove_legacy(repository_id: str) -> None:
             Type="String",
             Overwrite=True,
         )
+
+
+def _similarity_search(vs, query: str, top_k: int) -> list[dict[str, Any]]:
+    """Perform similarity search without scores.
+
+    Args:
+        vs: Vector store instance
+        query: Search query string
+        top_k: Number of top results to return
+
+    Returns:
+        List of documents with page_content and metadata
+    """
+    results = vs.similarity_search_with_score(
+        query,
+        k=top_k,
+    )
+
+    return [{"page_content": doc.page_content, "metadata": doc.metadata} for doc, score in results]
+
+
+def _similarity_search_with_score(vs, query: str, top_k: int, repository: dict) -> list[dict[str, Any]]:
+    """Perform similarity search with normalized scores.
+
+    Args:
+        vs: Vector store instance
+        query: Search query string
+        top_k: Number of top results to return
+        repository: Repository configuration dict
+
+    Returns:
+        List of documents with page_content, metadata, and similarity_score
+    """
+    results = vs.similarity_search_with_score(
+        query,
+        k=top_k,
+    )
+    docs = []
+    for i, (doc, score) in enumerate(results):
+        similarity_score = RepositoryType.get_type(repository=repository).calculate_similarity_score(score)
+        logger.info(
+            f"Result {i + 1}: Raw Score={score:.4f}, Similarity={similarity_score:.4f}, "
+            + f"Content: {doc.page_content[:200]}..."
+        )
+        logger.info(f"Result {i + 1} metadata: {doc.metadata}")
+        docs.append(
+            {
+                "page_content": doc.page_content,
+                "metadata": {**doc.metadata, "similarity_score": similarity_score},
+            }
+        )
+
+    if results and max(score for _, score in results) < 0.3:
+        logger.warning(f"All similarity < 0.3 for query '{query}' - possible embedding model mismatch")
+
+    return docs
diff --git a/lambda/repository/pipeline_ingest_documents.py b/lambda/repository/pipeline_ingest_documents.py
index 83598ef9a..2b82080e2 100644
--- a/lambda/repository/pipeline_ingest_documents.py
+++ b/lambda/repository/pipeline_ingest_documents.py
@@ -21,7 +21,7 @@
 
 import boto3
 from models.domain_objects import FixedChunkingStrategy, IngestionJob, IngestionStatus, IngestionType, RagDocument
-from repository.embeddings import get_embeddings_pipeline
+from repository.embeddings import RagEmbeddings
 from repository.ingestion_job_repo import IngestionJobRepository
 from repository.ingestion_service import DocumentIngestionService
 from repository.rag_document_repo import RagDocumentRepository
@@ -48,10 +48,12 @@
 
 
 def pipeline_ingest(job: IngestionJob) -> None:
+    texts = []
+    metadatas = []
+    all_ids = []
     try:
         # chunk and save chunks in vector store
         repository = vs_repo.find_repository_by_id(job.repository_id)
-        all_ids = []
         if RepositoryType.is_type(repository, RepositoryType.BEDROCK_KB):
             ingest_document_to_kb(
                 s3_client=s3,
@@ -104,15 +106,15 @@ def pipeline_ingest(job: IngestionJob) -> None:
         logging.info(f"Successfully ingested document {job.s3_path} ({len(all_ids)} chunks) into {job.collection_id}")
     except Exception as e:
         ingestion_job_repository.update_status(job, IngestionStatus.INGESTION_FAILED)
-
         error_msg = f"Failed to process document: {str(e)}"
         logger.error(error_msg, exc_info=True)
+        logger.error(f"Job: {job.model_dump_json(indent=2)}")
         raise Exception(error_msg)
 
 
 def remove_document_from_vectorstore(doc: RagDocument) -> None:
     # Delete from the Vector Store
-    embeddings = get_embeddings_pipeline(model_name=doc.collection_id)
+    embeddings = RagEmbeddings(model_name=doc.collection_id)
     vector_store = get_vector_store_client(
         doc.repository_id,
         index=doc.collection_id,
@@ -280,7 +282,7 @@ def store_chunks_in_vectorstore(
     texts: List[str], metadatas: List[Dict], repository_id: str, embedding_model: str
 ) -> List[str]:
     """Store document chunks in vector store."""
-    embeddings = get_embeddings_pipeline(model_name=embedding_model)
+    embeddings = RagEmbeddings(model_name=embedding_model)
     vs = get_vector_store_client(
         repository_id,
         index=embedding_model,
diff --git a/lambda/session/lambda_functions.py b/lambda/session/lambda_functions.py
index 68fd4648e..0971e00f1 100644
--- a/lambda/session/lambda_functions.py
+++ b/lambda/session/lambda_functions.py
@@ -21,14 +21,16 @@
 from concurrent.futures import ThreadPoolExecutor
 from datetime import datetime
 from decimal import Decimal
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
 import boto3
 import create_env_variables  # noqa: F401
 from botocore.exceptions import ClientError
+from cachetools import cached, TTLCache
 from utilities.auth import get_username
 from utilities.common_functions import api_wrapper, get_groups, get_session_id, retry_config
 from utilities.encoders import convert_decimal
+from utilities.session_encryption import decrypt_session_fields, migrate_session_to_encrypted, SessionEncryptionError
 
 logger = logging.getLogger(__name__)
 
@@ -42,8 +44,55 @@
 # Get model table for real-time feature validation
 model_table = dynamodb.Table(os.environ.get("MODEL_TABLE_NAME"))
 
+# Get configuration table for system settings
+config_table = dynamodb.Table(os.environ["CONFIG_TABLE_NAME"])
+
 executor = ThreadPoolExecutor(max_workers=10)
 
+# Cache for configuration values to avoid repeated database queries
+cache = TTLCache(maxsize=1, ttl=300)  # 5 minutes
+
+
+@cached(cache=cache)
+def _is_session_encryption_enabled() -> bool:
+    """Check if session encryption is enabled via global configuration.
+
+    Returns
+    -------
+    bool
+        True if session encryption is enabled, False otherwise.
+        Defaults to False if configuration is not found or accessible.
+    """
+
+    try:
+        logger.debug("Querying global configuration for session encryption setting")
+        # Query the global configuration entry
+        response = config_table.query(
+            KeyConditionExpression="configScope = :scope",
+            ExpressionAttributeValues={":scope": "global"},
+            ScanIndexForward=False,
+            Limit=1,
+        )
+
+        items = response.get("Items", [])
+        if items:
+            config_item = items[0]
+            configuration = config_item.get("configuration", {})
+            enabled_components = configuration.get("enabledComponents", {})
+            encrypt_session = enabled_components.get("encryptSession", False)  # Default to False
+            logger.info(f"Retrieved session encryption setting from global config: {encrypt_session}")
+            return encrypt_session
+        else:
+            logger.warning("No global configuration found, defaulting session encryption to disabled")
+            return False
+
+    except ClientError as error:
+        logger.error(f"Failed to query global configuration: {error}, defaulting to encryption disabled")
+        return False
+    except Exception as e:
+        logger.error(f"Error checking session encryption configuration: {e}, defaulting to disabled")
+        return False
+
 
 def _get_current_model_config(model_id: str) -> Any:
     """Get the current model configuration from the model table.
@@ -199,20 +248,41 @@ def _generate_presigned_image_url(key: str) -> str:
     return url
 
 
-def _map_session(session: dict) -> Dict[str, Any]:
+def _map_session(session: dict, user_id: Optional[str] = None) -> Dict[str, Any]:
     return {
         "sessionId": session.get("sessionId", None),
         "name": session.get("name", None),
-        "firstHumanMessage": _find_first_human_message(session),
+        "firstHumanMessage": _find_first_human_message(session, user_id),
         "startTime": session.get("startTime", None),
         "createTime": session.get("createTime", None),
         "lastUpdated": session.get(
             "lastUpdated", session.get("startTime", None)
         ),  # Fallback to startTime for backward compatibility
+        "isEncrypted": session.get("is_encrypted", False),
     }
 
 
-def _find_first_human_message(session: dict) -> str:
+def _find_first_human_message(session: dict, user_id: Optional[str] = None) -> str:
+    # Check if session is encrypted
+    if session.get("is_encrypted", False):
+        # For encrypted sessions, decrypt to get the first message
+        try:
+            if user_id:
+                logging.info(
+                    f"Decrypting encrypted session {session.get('sessionId', 'unknown')} "
+                    f"to find first message for user {user_id}"
+                )
+                decrypted_session = decrypt_session_fields(session, user_id, session.get("sessionId", ""))
+                # Use the decrypted session for finding the first message
+                session = decrypted_session
+            else:
+                # If no user_id provided, return placeholder
+                return "[Encrypted Session - User ID required]"
+        except SessionEncryptionError as e:
+            logging.error(f"Failed to decrypt session {session.get('sessionId', 'unknown')} to find first message: {e}")
+            return "[Encrypted Session - Decryption failed]"
+
+    # For unencrypted sessions (or successfully decrypted sessions), proceed as before
     for msg in session.get("history", []):
         if msg.get("type") == "human":
             content = msg.get("content")
@@ -225,7 +295,7 @@ def _find_first_human_message(session: dict) -> str:
                         if text and not text.startswith("File context:"):
                             return text
             else:
-                logger.warning(f"Unhandled human message content in session {session['sessionId']}")
+                logger.warning(f"Unhandled human message content in session {session.get('sessionId', 'unknown')}")
     return ""
 
 
@@ -237,7 +307,7 @@ def list_sessions(event: dict, context: dict) -> List[Dict[str, Any]]:
     logger.info(f"Listing sessions for user {user_id}")
     sessions = _get_all_user_sessions(user_id)
 
-    return list(executor.map(_map_session, sessions))
+    return list(executor.map(lambda session: _map_session(session, user_id), sessions))
 
 
 def _process_image(task: Tuple[dict, str]) -> None:
@@ -261,6 +331,18 @@ def get_session(event: dict, context: dict) -> dict:
         response = table.get_item(Key={"sessionId": session_id, "userId": user_id})
         resp = response.get("Item", {})
 
+        if not resp:
+            return {"statusCode": 404, "body": json.dumps({"error": "Session not found"})}
+
+        # Check if session data is encrypted and decrypt if necessary
+        try:
+            if resp.get("is_encrypted", False):
+                logging.info(f"Decrypting encrypted session {session_id} for user {user_id}")
+                resp = decrypt_session_fields(resp, user_id, session_id)
+        except SessionEncryptionError as e:
+            logging.error(f"Failed to decrypt session {session_id}: {e}")
+            return {"statusCode": 500, "body": json.dumps({"error": "Failed to decrypt session data"})}
+
         # Update configuration with current model settings before returning
         if resp and resp.get("configuration"):
             configuration = resp.get("configuration", {})
@@ -409,7 +491,86 @@ def put_session(event: dict, context: dict) -> dict:
             updated_temp_config = _update_session_with_current_model_config(temp_config)
             configuration["selectedModel"] = updated_temp_config.get("selectedModel", configuration["selectedModel"])
 
-        # Publish event to SQS queue for metrics processing
+        # Check if encryption is enabled via configuration table
+        encryption_enabled = _is_session_encryption_enabled()
+
+        # Prepare session data for storage
+        session_data = {
+            "history": messages,
+            "name": body.get("name", None),
+            "configuration": configuration,
+            "startTime": datetime.now().isoformat(),
+            "createTime": datetime.now().isoformat(),
+            "lastUpdated": datetime.now().isoformat(),
+        }
+
+        # Encrypt sensitive data if encryption is enabled
+        if encryption_enabled:
+            try:
+                logging.info(f"Encrypting session {session_id} for user {user_id}")
+                encrypted_session = migrate_session_to_encrypted(session_data, user_id, session_id)
+
+                # Update DynamoDB with encrypted data
+                table.update_item(
+                    Key={"sessionId": session_id, "userId": user_id},
+                    UpdateExpression="SET #encrypted_history = :encrypted_history, #name = :name, "
+                    + "#encrypted_configuration = :encrypted_configuration, #startTime = :startTime, "
+                    + "#createTime = if_not_exists(#createTime, :createTime), #lastUpdated = :lastUpdated, "
+                    + "#encryption_version = :encryption_version, #is_encrypted = :is_encrypted",
+                    ExpressionAttributeNames={
+                        "#encrypted_history": "encrypted_history",
+                        "#name": "name",
+                        "#encrypted_configuration": "encrypted_configuration",
+                        "#startTime": "startTime",
+                        "#createTime": "createTime",
+                        "#lastUpdated": "lastUpdated",
+                        "#encryption_version": "encryption_version",
+                        "#is_encrypted": "is_encrypted",
+                    },
+                    ExpressionAttributeValues={
+                        ":encrypted_history": encrypted_session["encrypted_history"],
+                        ":name": encrypted_session["name"],
+                        ":encrypted_configuration": encrypted_session["encrypted_configuration"],
+                        ":startTime": encrypted_session["startTime"],
+                        ":createTime": encrypted_session["createTime"],
+                        ":lastUpdated": encrypted_session["lastUpdated"],
+                        ":encryption_version": encrypted_session["encryption_version"],
+                        ":is_encrypted": encrypted_session["is_encrypted"],
+                    },
+                    ReturnValues="UPDATED_NEW",
+                )
+            except SessionEncryptionError as e:
+                logging.error(f"Failed to encrypt session {session_id}: {e}")
+                return {"statusCode": 500, "body": json.dumps({"error": "Failed to encrypt session data"})}
+        else:
+            # Store unencrypted data (legacy mode)
+            table.update_item(
+                Key={"sessionId": session_id, "userId": user_id},
+                UpdateExpression="SET #history = :history, #name = :name, #configuration = :configuration, "
+                + "#startTime = :startTime, #createTime = if_not_exists(#createTime, :createTime), "
+                + "#lastUpdated = :lastUpdated, #is_encrypted = :is_encrypted",
+                ExpressionAttributeNames={
+                    "#history": "history",
+                    "#name": "name",
+                    "#configuration": "configuration",
+                    "#startTime": "startTime",
+                    "#createTime": "createTime",
+                    "#lastUpdated": "lastUpdated",
+                    "#is_encrypted": "is_encrypted",
+                },
+                ExpressionAttributeValues={
+                    ":history": messages,
+                    ":name": body.get("name", None),
+                    ":configuration": configuration,
+                    ":startTime": datetime.now().isoformat(),
+                    ":createTime": datetime.now().isoformat(),
+                    ":lastUpdated": datetime.now().isoformat(),
+                    ":is_encrypted": False,
+                },
+                ReturnValues="UPDATED_NEW",
+            )
+
+        # Publish event to SQS queue for metrics processing (use unencrypted data for metrics)
         try:
             if "USAGE_METRICS_QUEUE_NAME" in os.environ:
                 # Create a copy of the event to send to SQS
@@ -430,29 +591,6 @@ def put_session(event: dict, context: dict) -> dict:
         except Exception as e:
             logger.error(f"Failed to publish to metrics queue: {e}")
 
-        table.update_item(
-            Key={"sessionId": session_id, "userId": user_id},
-            UpdateExpression="SET #history = :history, #name = :name, #configuration = :configuration, "
-            + "#startTime = :startTime, #createTime = if_not_exists(#createTime, :createTime), "
-            + "#lastUpdated = :lastUpdated",
-            ExpressionAttributeNames={
-                "#history": "history",
-                "#name": "name",
-                "#configuration": "configuration",
-                "#startTime": "startTime",
-                "#createTime": "createTime",
-                "#lastUpdated": "lastUpdated",
-            },
-            ExpressionAttributeValues={
-                ":history": messages,
-                ":name": body.get("name", None),
-                ":configuration": configuration,
-                ":startTime": datetime.now().isoformat(),
-                ":createTime": datetime.now().isoformat(),
-                ":lastUpdated": datetime.now().isoformat(),
-            },
-            ReturnValues="UPDATED_NEW",
-        )
         return {"statusCode": 200, "body": json.dumps({"message": "Session updated successfully"})}
     except ValueError as e:
         return {"statusCode": 400, "body": json.dumps({"error": str(e)})}
diff --git a/lambda/utilities/auth.py b/lambda/utilities/auth.py
index c6f5f5bd6..d98466eb0 100644
--- a/lambda/utilities/auth.py
+++ b/lambda/utilities/auth.py
@@ -16,11 +16,23 @@
 from functools import wraps
 from typing import Any, Callable, Dict
 
+import boto3
+from botocore.config import Config
 from utilities.common_functions import get_groups
 from utilities.exceptions import HTTPException
 
 logger = logging.getLogger(__name__)
 
+retry_config = Config(
+    retries={
+        "max_attempts": 3,
+        "mode": "standard",
+    },
+)
+
+secrets_client = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"], config=retry_config)
+ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"], config=retry_config)
+
 
 def get_username(event: dict) -> str:
     """Get the username from the event."""
@@ -46,3 +58,10 @@ def wrapper(event: Dict[str, Any], context: Dict[str, Any], *args: Any, **kwargs
         return func(event, context, *args, **kwargs)
 
     return wrapper
+
+
+def get_management_key() -> str:
+    secret_name_param = ssm_client.get_parameter(Name=os.environ["MANAGEMENT_KEY_SECRET_NAME_PS"])
+    secret_name = secret_name_param["Parameter"]["Value"]
+    secret_response = secrets_client.get_secret_value(SecretId=secret_name)
+    return secret_response["SecretString"]
diff --git a/lambda/utilities/common_functions.py b/lambda/utilities/common_functions.py
index def669737..c7e9079dc 100644
--- a/lambda/utilities/common_functions.py
+++ b/lambda/utilities/common_functions.py
@@ -519,3 +519,22 @@ def get_bearer_token(event, with_prefix: bool = True):
 
     # Return the token after "Bearer "
     return auth_header.split(" ", 1)[1].strip()
+
+
+def get_account_and_partition() -> tuple[str, str]:
+    """Get AWS account ID and partition from environment or ECR repository ARN.
+
+    Returns:
+        tuple[str, str]: (account_id, partition)
+    """
+    account_id = os.environ.get("AWS_ACCOUNT_ID", "")
+    partition = os.environ.get("AWS_PARTITION", "aws")
+
+    if not account_id:
+        ecr_repo_arn = os.environ.get("ECR_REPOSITORY_ARN", "")
+        if ecr_repo_arn:
+            arn_parts = ecr_repo_arn.split(":")
+            partition = arn_parts[1]
+            account_id = arn_parts[4]
+
+    return account_id, partition
diff --git a/lambda/utilities/constants.py b/lambda/utilities/constants.py
index 0dd0b48f4..a263d03ff 100644
--- a/lambda/utilities/constants.py
+++ b/lambda/utilities/constants.py
@@ -16,3 +16,4 @@
 PDF_FILE = "pdf"
 TEXT_FILE = "txt"
 DOCX_FILE = "docx"
+RICH_TEXT_FILE = "rtf"
diff --git a/lambda/utilities/file_processing.py b/lambda/utilities/file_processing.py
index f2f9c6857..db04f85ce 100644
--- a/lambda/utilities/file_processing.py
+++ b/lambda/utilities/file_processing.py
@@ -27,7 +27,7 @@
 from models.domain_objects import ChunkingStrategyType, IngestionJob
 from pypdf import PdfReader
 from pypdf.errors import PdfReadError
-from utilities.constants import DOCX_FILE, PDF_FILE, TEXT_FILE
+from utilities.constants import DOCX_FILE, PDF_FILE, RICH_TEXT_FILE, TEXT_FILE
 from utilities.exceptions import RagUploadException
 
 logger = logging.getLogger(__name__)
@@ -47,12 +47,13 @@ def _extract_text_by_content_type(content_type: str, s3_object: dict) -> str:
     extraction_functions = {
         PDF_FILE: _extract_pdf_content,
         DOCX_FILE: _extract_docx_content,
-        TEXT_FILE: lambda obj: obj["Body"].read(),
+        TEXT_FILE: _extract_text_content,
+        RICH_TEXT_FILE: _extract_text_content,
     }
 
     extraction_function = extraction_functions.get(content_type)
     if extraction_function:
-        return str(extraction_function(s3_object))
+        return extraction_function(s3_object)
     else:
         logger.error(f"File has unsupported content type: {content_type}")
         raise RagUploadException("Unsupported file type")
@@ -126,6 +127,18 @@ def _extract_docx_content(s3_object: dict) -> str:
     return output
 
 
+def _extract_text_content(s3_object: dict) -> str:
+    """
+    Extracts text content from an S3 object. Decode as
+    utf-8 to properly read special characters
+
+    Parameters
+    ----------
+    s3_object (dict): an S3 object containing a text file body.
+    """
+    return s3_object["Body"].read().decode("utf-8", errors="replace")
+
+
 def generate_chunks(ingestion_job: IngestionJob) -> list[Document]:
     """Generate chunks from an ingestion job.
 
diff --git a/lambda/utilities/repository_types.py b/lambda/utilities/repository_types.py
index 2e9b054aa..0ec62cdd5 100644
--- a/lambda/utilities/repository_types.py
+++ b/lambda/utilities/repository_types.py
@@ -21,6 +21,19 @@ class RepositoryType(str, Enum):
     OPENSEARCH = "opensearch"
     BEDROCK_KB = "bedrock_knowledge_base"
 
+    @classmethod
+    def get_type(cls, repository: Dict[str, Any]) -> "RepositoryType":
+        return RepositoryType(repository.get("type"))
+
     @classmethod
     def is_type(cls, repository: Dict[str, Any], repo_type: "RepositoryType") -> bool:
-        return repository.get("type") == repo_type.value
+        return repository.get("type") == repo_type
+
+    def calculate_similarity_score(self, score: float) -> float:
+        # Convert cosine distance to similarity for PGVector
+        # PGVector returns cosine distance (0-2 range, lower = more similar)
+        # Convert to similarity (0-1 range, higher = more similar)
+        if self == RepositoryType.PGVECTOR:
+            return max(0.0, 1.0 - (score / 2.0))
+        else:
+            return score
diff --git a/lambda/utilities/session_encryption.py b/lambda/utilities/session_encryption.py
new file mode 100644
index 000000000..3b57ef8b7
--- /dev/null
+++ b/lambda/utilities/session_encryption.py
@@ -0,0 +1,305 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""Utilities for encrypting and decrypting session data."""
+
+import base64
+import json
+import logging
+import os
+from decimal import Decimal
+from typing import Any, Dict, Optional
+
+import boto3
+from botocore.exceptions import ClientError
+from cryptography.fernet import Fernet
+
+logger = logging.getLogger(__name__)
+
+# Initialize KMS client
+kms_client = boto3.client("kms", region_name=os.environ.get("AWS_REGION", "us-east-1"))
+
+
+class TypePreservingJSONEncoder(json.JSONEncoder):
+    """Custom JSON encoder that preserves numeric types."""
+
+    def default(self, obj: Any) -> Any:
+        if isinstance(obj, Decimal):
+            return float(obj)
+        return super().default(obj)
+
+
+def _serialize_with_type_preservation(data: Any) -> str:
+    """Serialize data to JSON while preserving numeric types."""
+    return json.dumps(data, cls=TypePreservingJSONEncoder)
+
+
+def _deserialize_with_type_preservation(json_str: str) -> Any:
+    """Deserialize JSON string while preserving numeric types."""
+    return json.loads(json_str, parse_float=float, parse_int=int)
+
+
+class SessionEncryptionError(Exception):
+    """Custom exception for session encryption errors."""
+
+    pass
+
+
+def _get_kms_key_arn() -> str:
+    """Get the KMS key ARN from environment variables."""
+    key_arn = os.environ.get("SESSION_ENCRYPTION_KEY_ARN")
+    if not key_arn:
+        raise SessionEncryptionError("SESSION_ENCRYPTION_KEY_ARN environment variable not set")
+    return key_arn
+
+
+def _generate_data_key(key_arn: str, encryption_context: Optional[Dict[str, str]] = None) -> tuple[bytes, bytes]:
+    """
+    Generate a data key from KMS.
+
+    Args:
+        key_arn: KMS key ARN
+        encryption_context: Optional encryption context
+
+    Returns:
+        Tuple of (plaintext_data_key, encrypted_data_key)
+    """
+    try:
+        response = kms_client.generate_data_key(
+            KeyId=key_arn, KeySpec="AES_256", EncryptionContext=encryption_context or {}
+        )
+        return response["Plaintext"], response["CiphertextBlob"]
+    except ClientError as e:
+        logger.error(f"Failed to generate data key: {e}")
+        raise SessionEncryptionError(f"Failed to generate data key: {e}")
+
+
+def _decrypt_data_key(encrypted_data_key: bytes, encryption_context: Optional[Dict[str, str]] = None) -> bytes:
+    """
+    Decrypt a data key using KMS.
+
+    Args:
+        encrypted_data_key: Encrypted data key
+        encryption_context: Optional encryption context
+
+    Returns:
+        Plaintext data key
+    """
+    try:
+        response = kms_client.decrypt(CiphertextBlob=encrypted_data_key, EncryptionContext=encryption_context or {})
+        return response["Plaintext"]  # type: ignore
+    except ClientError as e:
+        logger.error(f"Failed to decrypt data key: {e}")
+        raise SessionEncryptionError(f"Failed to decrypt data key: {e}")
+
+
+def _create_encryption_context(user_id: str, session_id: str) -> Dict[str, str]:
+    """
+    Create encryption context for KMS operations.
+
+    Args:
+        user_id: User ID
+        session_id: Session ID
+
+    Returns:
+        Encryption context dictionary
+    """
+    return {"userId": user_id, "sessionId": session_id, "purpose": "session-encryption"}
+
+
+def encrypt_session_data(data: Any, user_id: str, session_id: str) -> str:
+    """
+    Encrypt session data using KMS envelope encryption.
+
+    Args:
+        data: Data to encrypt (will be JSON serialized)
+        user_id: User ID for encryption context
+        session_id: Session ID for encryption context
+
+    Returns:
+        Base64 encoded string containing encrypted data key and encrypted data
+    """
+    try:
+        # Create encryption context
+        encryption_context = _create_encryption_context(user_id, session_id)
+
+        # Get KMS key ARN
+        key_arn = _get_kms_key_arn()
+
+        # Generate data key
+        plaintext_key, encrypted_key = _generate_data_key(key_arn, encryption_context)
+
+        # Serialize data to JSON while preserving numeric types
+        json_data = _serialize_with_type_preservation(data)
+
+        # Encrypt data using Fernet (AES 128 in CBC mode with PKCS7 padding)
+        fernet = Fernet(base64.urlsafe_b64encode(plaintext_key[:32]))
+        encrypted_data = fernet.encrypt(json_data.encode("utf-8"))
+
+        # Combine encrypted key and encrypted data
+        combined = {
+            "encrypted_key": base64.b64encode(encrypted_key).decode("utf-8"),
+            "encrypted_data": base64.b64encode(encrypted_data).decode("utf-8"),
+            "encryption_version": "1.0",
+        }
+
+        return base64.b64encode(json.dumps(combined).encode("utf-8")).decode("utf-8")
+
+    except Exception as e:
+        logger.error(f"Failed to encrypt session data: {e}")
+        raise SessionEncryptionError(f"Failed to encrypt session data: {e}")
+
+
+def decrypt_session_data(encrypted_data: str, user_id: str, session_id: str) -> Any:
+    """
+    Decrypt session data using KMS envelope encryption.
+
+    Args:
+        encrypted_data: Base64 encoded encrypted data
+        user_id: User ID for encryption context
+        session_id: Session ID for encryption context
+
+    Returns:
+        Decrypted and deserialized data
+    """
+    try:
+        # Create encryption context
+        encryption_context = _create_encryption_context(user_id, session_id)
+
+        # Decode the combined data
+        combined_json = base64.b64decode(encrypted_data).decode("utf-8")
+        combined = json.loads(combined_json)
+
+        # Extract encrypted key and data
+        encrypted_key = base64.b64decode(combined["encrypted_key"])
+        encrypted_data_bytes = base64.b64decode(combined["encrypted_data"])
+
+        # Decrypt the data key
+        plaintext_key = _decrypt_data_key(encrypted_key, encryption_context)
+
+        # Decrypt the data
+        fernet = Fernet(base64.urlsafe_b64encode(plaintext_key[:32]))
+        decrypted_json = fernet.decrypt(encrypted_data_bytes).decode("utf-8")
+
+        # Deserialize and return while preserving numeric types
+        return _deserialize_with_type_preservation(decrypted_json)
+
+    except Exception as e:
+        logger.error(f"Failed to decrypt session data: {e}")
+        raise SessionEncryptionError(f"Failed to decrypt session data: {e}")
+
+
+def is_encrypted_data(data: str) -> bool:
+    """
+    Check if a string appears to be encrypted session data.
+
+    Args:
+        data: String to check
+
+    Returns:
+        True if data appears to be encrypted
+    """
+    try:
+        # Try to decode as base64
+        decoded = base64.b64decode(data).decode("utf-8")
+        parsed = json.loads(decoded)
+
+        # Check if it has the expected structure
+        return (
+            isinstance(parsed, dict)
+            and "encrypted_key" in parsed
+            and "encrypted_data" in parsed
+            and "encryption_version" in parsed
+        )
+    except Exception:
+        return False
+
+
+def migrate_session_to_encrypted(session_data: Dict[str, Any], user_id: str, session_id: str) -> Dict[str, Any]:
+    """
+    Migrate a session from unencrypted to encrypted format.
+
+    Args:
+        session_data: Session data dictionary
+        user_id: User ID
+        session_id: Session ID
+
+    Returns:
+        Updated session data with encrypted fields
+    """
+    try:
+        # Fields to encrypt
+        fields_to_encrypt = ["history", "configuration"]
+
+        # Create a copy of the session data
+        encrypted_session = session_data.copy()
+
+        # Encrypt sensitive fields
+        for field in fields_to_encrypt:
+            if field in session_data and session_data[field] is not None:
+                encrypted_value = encrypt_session_data(session_data[field], user_id, session_id)
+                encrypted_session[f"encrypted_{field}"] = encrypted_value
+                # Remove the unencrypted field
+                del encrypted_session[field]
+
+        # Add encryption metadata
+        encrypted_session["encryption_version"] = "1.0"
+        encrypted_session["is_encrypted"] = True
+
+        return encrypted_session
+
+    except Exception as e:
+        logger.error(f"Failed to migrate session to encrypted: {e}")
+        raise SessionEncryptionError(f"Failed to migrate session to encrypted: {e}")
+
+
+def decrypt_session_fields(session_data: Dict[str, Any], user_id: str, session_id: str) -> Dict[str, Any]:
+    """
+    Decrypt encrypted fields in session data.
+
+    Args:
+        session_data: Session data dictionary
+        user_id: User ID
+        session_id: Session ID
+
+    Returns:
+        Session data with decrypted fields
+    """
+    try:
+        # Fields that might be encrypted
+        encrypted_fields = ["encrypted_history", "encrypted_configuration"]
+        decrypted_session = session_data.copy()
+
+        # Decrypt encrypted fields
+        for encrypted_field in encrypted_fields:
+            if encrypted_field in session_data and session_data[encrypted_field] is not None:
+                # Get the original field name
+                original_field = encrypted_field.replace("encrypted_", "")
+
+                # Decrypt the data
+                decrypted_data = decrypt_session_data(session_data[encrypted_field], user_id, session_id)
+                decrypted_session[original_field] = decrypted_data
+
+                # Remove the encrypted field
+                del decrypted_session[encrypted_field]
+
+        # Remove encryption metadata
+        decrypted_session.pop("encryption_version", None)
+        decrypted_session.pop("is_encrypted", None)
+
+        return decrypted_session
+
+    except Exception as e:
+        logger.error(f"Failed to decrypt session fields: {e}")
+        raise SessionEncryptionError(f"Failed to decrypt session fields: {e}")
diff --git a/lambda/utilities/vector_store.py b/lambda/utilities/vector_store.py
index 46370f400..5634f47a0 100644
--- a/lambda/utilities/vector_store.py
+++ b/lambda/utilities/vector_store.py
@@ -18,8 +18,7 @@
 import os
 
 import boto3
-from langchain_community.vectorstores.opensearch_vector_search import OpenSearchVectorSearch
-from langchain_community.vectorstores.pgvector import PGVector
+from langchain_community.vectorstores import OpenSearchVectorSearch, PGVector
 from langchain_core.embeddings import Embeddings
 from langchain_core.vectorstores import VectorStore
 from opensearchpy import RequestsHttpConnection
@@ -61,7 +60,7 @@ def get_vector_store_client(repository_id: str, index: str, embeddings: Embeddin
 
         return OpenSearchVectorSearch(
             opensearch_url=opensearch_endpoint,
-            index_name=index.lower(),
+            index_name=index,
             embedding_function=embeddings,
             http_auth=auth,
             timeout=300,
diff --git a/lib/api-base/fastApiContainer.ts b/lib/api-base/fastApiContainer.ts
index 6bdc6276b..3f2a533df 100644
--- a/lib/api-base/fastApiContainer.ts
+++ b/lib/api-base/fastApiContainer.ts
@@ -92,20 +92,16 @@ export class FastApiContainer extends Construct {
             AWS_REGION_NAME: config.region, // for supporting SageMaker endpoints in LiteLLM
             THREADS: Ec2Metadata.get('m5.large').vCpus.toString(),
             LITELLM_KEY: config.litellmConfig.db_key,
-            TIKTOKEN_CACHE_DIR: '/app/TIKTOKEN_CACHE'
+            OPENAI_API_KEY: config.litellmConfig.db_key,
+            TIKTOKEN_CACHE_DIR: '/app/TIKTOKEN_CACHE',
+            USE_AUTH: 'true',
+            AUTHORITY: config.authConfig!.authority,
+            CLIENT_ID: config.authConfig!.clientId,
+            ADMIN_GROUP: config.authConfig!.adminGroup,
+            USER_GROUP: config.authConfig!.userGroup,
+            JWT_GROUPS_PROP: config.authConfig!.jwtGroupsProperty,
         };
 
-        if (config.restApiConfig.internetFacing) {
-            baseEnvironment.USE_AUTH = 'true';
-            baseEnvironment.AUTHORITY = config.authConfig!.authority;
-            baseEnvironment.CLIENT_ID = config.authConfig!.clientId;
-            baseEnvironment.ADMIN_GROUP = config.authConfig!.adminGroup;
-            baseEnvironment.USER_GROUP = config.authConfig!.userGroup;
-            baseEnvironment.JWT_GROUPS_PROP = config.authConfig!.jwtGroupsProperty;
-        } else {
-            baseEnvironment.USE_AUTH = 'false';
-        }
-
         if (tokenTable) {
             baseEnvironment.TOKEN_TABLE_NAME = tokenTable.tableName;
         }
@@ -140,7 +136,7 @@ export class FastApiContainer extends Construct {
         const ecsConfig: ECSConfig = {
             amiHardwareType: AmiHardwareType.STANDARD,
             autoScalingConfig: {
-                blockDeviceVolumeSize: 30,
+                blockDeviceVolumeSize: 50,
                 minCapacity: 1,
                 maxCapacity: 5,
                 cooldown: 60,
@@ -231,7 +227,7 @@ export class FastApiContainer extends Construct {
                                 'logs:CreateLogStream',
                                 'logs:PutLogEvents'
                             ],
-                            resources: ['arn:aws:logs:*:*:*']
+                            resources: [`arn:${config.partition}:logs:*:*:*`]
                         }),
                         new PolicyStatement({
                             effect: Effect.ALLOW,
@@ -241,8 +237,8 @@ export class FastApiContainer extends Construct {
                                 'ecs:DescribeClusters'
                             ],
                             resources: [
-                                `arn:aws:ecs:${config.region}:*:cluster/${workbenchService?.cluster?.clusterName}*`,
-                                `arn:aws:ecs:${config.region}:*:service/${workbenchService?.cluster?.clusterName}*/${workbenchService?.serviceName}*`
+                                `arn:${config.partition}:ecs:${config.region}:*:cluster/${workbenchService?.cluster?.clusterName}*`,
+                                `arn:${config.partition}:ecs:${config.region}:*:service/${workbenchService?.cluster?.clusterName}*/${workbenchService?.serviceName}*`
                             ]
                         }),
                         new PolicyStatement({
@@ -251,7 +247,7 @@ export class FastApiContainer extends Construct {
                                 'ssm:GetParameter'
                             ],
                             resources: [
-                                `arn:aws:ssm:${config.region}:*:parameter${config.deploymentPrefix}/deploymentName`
+                                `arn:${config.partition}:ssm:${config.region}:*:parameter${config.deploymentPrefix}/deploymentName`
                             ]
                         })
                     ]
diff --git a/lib/chat/api/configuration.ts b/lib/chat/api/configuration.ts
index 5b9d03f30..7531bf708 100644
--- a/lib/chat/api/configuration.ts
+++ b/lib/chat/api/configuration.ts
@@ -53,6 +53,8 @@ type ConfigurationApiProps = {
  * API which Maintains config state in DynamoDB
  */
 export class ConfigurationApi extends Construct {
+    public readonly configTable: dynamodb.Table;
+
     constructor (scope: Construct, id: string, props: ConfigurationApiProps) {
         super(scope, id);
 
@@ -72,7 +74,7 @@ export class ConfigurationApi extends Construct {
         );
 
         // Create DynamoDB table to handle config data
-        const configTable = new dynamodb.Table(this, 'ConfigurationTable', {
+        this.configTable = new dynamodb.Table(this, 'ConfigurationTable', {
             partitionKey: {
                 name: 'configScope',
                 type: dynamodb.AttributeType.STRING,
@@ -87,8 +89,8 @@ export class ConfigurationApi extends Construct {
         });
 
         const mcpServersTable = dynamodb.Table.fromTableName(this, 'McpServersTable', mcpApi.mcpServersTableNameParameter.stringValue);
+        const lambdaRole: IRole = createLambdaRole(this, config.deploymentName, 'ConfigurationApi', this.configTable.tableArn, config.roles?.LambdaConfigurationApiExecutionRole);
 
-        const lambdaRole: IRole = createLambdaRole(this, config.deploymentName, 'ConfigurationApi', configTable.tableArn, config.roles?.LambdaConfigurationApiExecutionRole);
         mcpServersTable.grantReadWriteData(lambdaRole);
 
         // Populate the App Config table with default config
@@ -99,7 +101,7 @@ export class ConfigurationApi extends Construct {
                 action: 'putItem',
                 physicalResourceId: PhysicalResourceId.of('initConfigData'),
                 parameters: {
-                    TableName: configTable.tableName,
+                    TableName: this.configTable.tableName,
                     Item: {
                         'versionId': {'N': '0'},
                         'changedBy': {'S': 'System'},
@@ -122,6 +124,7 @@ export class ConfigurationApi extends Construct {
                                 'showPromptTemplateLibrary': {'BOOL': 'True'},
                                 'mcpConnections': {'BOOL': 'True'},
                                 'modelLibrary': {'BOOL': 'True'},
+                                'encryptSession': {'BOOL': 'False'},
                             }},
                             'systemBanner': {'M': {
                                 'isEnabled': {'BOOL': 'False'},
@@ -144,7 +147,7 @@ export class ConfigurationApi extends Construct {
         const fastApiEndpoint = StringParameter.valueForStringParameter(this, `${config.deploymentPrefix}/serve/endpoint`);
 
         const environment = {
-            CONFIG_TABLE_NAME: configTable.tableName,
+            CONFIG_TABLE_NAME: this.configTable.tableName,
             FASTAPI_ENDPOINT: fastApiEndpoint,
             // add MCP_SERVERS_TABLE_NAME so we can update it if the configuration changes
             MCP_SERVERS_TABLE_NAME: mcpServersTable.tableName
@@ -185,11 +188,11 @@ export class ConfigurationApi extends Construct {
                 lambdaRole,
             );
             if (f.method === 'POST' || f.method === 'PUT') {
-                configTable.grantWriteData(lambdaFunction);
+                this.configTable.grantWriteData(lambdaFunction);
             } else if (f.method === 'GET') {
-                configTable.grantReadData(lambdaFunction);
+                this.configTable.grantReadData(lambdaFunction);
             } else if (f.method === 'DELETE') {
-                configTable.grantReadWriteData(lambdaFunction);
+                this.configTable.grantReadWriteData(lambdaFunction);
             }
         });
     }
diff --git a/lib/chat/api/session.ts b/lib/chat/api/session.ts
index 04d9d6ba7..54f24cbb1 100644
--- a/lib/chat/api/session.ts
+++ b/lib/chat/api/session.ts
@@ -20,6 +20,7 @@ import { Effect, IRole, PolicyStatement } from 'aws-cdk-lib/aws-iam';
 import { ISecurityGroup } from 'aws-cdk-lib/aws-ec2';
 import { LayerVersion } from 'aws-cdk-lib/aws-lambda';
 import { StringParameter } from 'aws-cdk-lib/aws-ssm';
+import { Key } from 'aws-cdk-lib/aws-kms';
 import { Construct } from 'constructs';
 
 import { getDefaultRuntime, PythonLambdaFunction, registerAPIEndpoint } from '../../api-base/utils';
@@ -40,6 +41,7 @@ import { RemovalPolicy } from 'aws-cdk-lib';
  * @property {IAuthorizer} authorizer - APIGW authorizer
  * @property {ISecurityGroup[]} securityGroups - Security groups for Lambdas
  * @property {Map<number, ISubnet> }importedSubnets for application.
+ * @property {dynamodb.Table} configTable - Configuration DynamoDB table
  */
 type SessionApiProps = {
     authorizer: IAuthorizer;
@@ -47,6 +49,7 @@ type SessionApiProps = {
     rootResourceId: string;
     securityGroups: ISecurityGroup[];
     vpc: Vpc;
+    configTable: dynamodb.Table;
 } & BaseProps;
 
 /**
@@ -56,7 +59,7 @@ export class SessionApi extends Construct {
     constructor (scope: Construct, id: string, props: SessionApiProps) {
         super(scope, id);
 
-        const { authorizer, config, restApiId, rootResourceId, securityGroups, vpc } = props;
+        const { authorizer, config, restApiId, rootResourceId, securityGroups, vpc, configTable } = props;
 
         // Get common layer based on arn from SSM due to issues with cross stack references
         const commonLambdaLayer = LayerVersion.fromLayerVersionArn(
@@ -65,6 +68,13 @@ export class SessionApi extends Construct {
             StringParameter.valueForStringParameter(this, `${config.deploymentPrefix}/layerVersion/common`),
         );
 
+        // Get FastAPI layer for cryptography support
+        const fastapiLambdaLayer = LayerVersion.fromLayerVersionArn(
+            this,
+            'session-fastapi-lambda-layer',
+            StringParameter.valueForStringParameter(this, `${config.deploymentPrefix}/layerVersion/fastapi`),
+        );
+
         // Create DynamoDB table to handle chat sessions
         const sessionTable = new dynamodb.Table(this, 'SessionsTable', {
             partitionKey: {
@@ -92,6 +102,19 @@ export class SessionApi extends Construct {
             sortKey: { name: 'startTime', type: dynamodb.AttributeType.STRING },
         });
 
+        // Create KMS key for session data encryption
+        const sessionEncryptionKey = new Key(this, 'SessionEncryptionKey', {
+            description: 'KMS key for encrypting session data at rest',
+            enableKeyRotation: true,
+            removalPolicy: config.removalPolicy,
+        });
+
+        // Store KMS key ARN in SSM parameter for cross-stack access
+        new StringParameter(this, 'SessionEncryptionKeyArnParameter', {
+            parameterName: `${config.deploymentPrefix}/sessionEncryptionKeyArn`,
+            stringValue: sessionEncryptionKey.keyArn,
+        });
+
         const bucketAccessLogsBucket = Bucket.fromBucketArn(scope, 'BucketAccessLogsBucket',
             StringParameter.valueForStringParameter(scope, `${config.deploymentPrefix}/bucket/bucket-access-logs`)
         );
@@ -129,6 +152,8 @@ export class SessionApi extends Construct {
             SESSIONS_BY_USER_ID_INDEX_NAME: byUserIdIndex,
             GENERATED_IMAGES_S3_BUCKET_NAME: imagesBucket.bucketName,
             MODEL_TABLE_NAME: modelTableName,
+            CONFIG_TABLE_NAME: configTable.tableName,
+            SESSION_ENCRYPTION_KEY_ARN: sessionEncryptionKey.keyArn,
         };
 
         const lambdaRole: IRole = createLambdaRole(
@@ -148,6 +173,15 @@ export class SessionApi extends Construct {
             })
         );
 
+        // Add permissions to read from configuration table
+        lambdaRole.addToPrincipalPolicy(
+            new PolicyStatement({
+                effect: Effect.ALLOW,
+                actions: ['dynamodb:GetItem', 'dynamodb:Query'],
+                resources: [configTable.tableArn]
+            })
+        );
+
         // If metrics stack deployment is enabled
         if (config.deployMetrics) {
             // Get metrics queue name from SSM
@@ -166,6 +200,19 @@ export class SessionApi extends Construct {
             Object.assign(env, { USAGE_METRICS_QUEUE_NAME: usageMetricsQueueName });
         }
 
+        // Add KMS permissions for session encryption
+        lambdaRole.addToPrincipalPolicy(
+            new PolicyStatement({
+                effect: Effect.ALLOW,
+                actions: [
+                    'kms:GenerateDataKey',
+                    'kms:Decrypt',
+                    'kms:DescribeKey'
+                ],
+                resources: [sessionEncryptionKey.keyArn]
+            })
+        );
+
         // Create API Lambda functions
         const apis: PythonLambdaFunction[] = [
             {
@@ -231,7 +278,7 @@ export class SessionApi extends Construct {
                 this,
                 restApi,
                 lambdaPath,
-                [commonLambdaLayer],
+                [commonLambdaLayer, fastapiLambdaLayer],
                 f,
                 getDefaultRuntime(),
                 vpc,
diff --git a/lib/chat/chatConstruct.ts b/lib/chat/chatConstruct.ts
index 808a0883d..470f98f7e 100644
--- a/lib/chat/chatConstruct.ts
+++ b/lib/chat/chatConstruct.ts
@@ -50,8 +50,8 @@ export class LisaChatApplicationConstruct extends Construct {
 
         const { authorizer, config, restApiId, rootResourceId, securityGroups, vpc } = props;
 
-        // Add REST API Lambdas to APIGW
-        new SessionApi(scope, 'SessionApi', {
+
+        const mcpApi = new McpApi(scope, 'McpApi', {
             authorizer,
             config,
             restApiId,
@@ -60,23 +60,26 @@ export class LisaChatApplicationConstruct extends Construct {
             vpc,
         });
 
-        const mcpApi = new McpApi(scope, 'McpApi', {
+        // Create Configuration API first to get the configuration table
+        const configurationApi = new ConfigurationApi(scope, 'ConfigurationApi', {
             authorizer,
             config,
             restApiId,
             rootResourceId,
             securityGroups,
             vpc,
+            mcpApi
         });
 
-        new ConfigurationApi(scope, 'ConfigurationApi', {
+        // Add REST API Lambdas to APIGW
+        new SessionApi(scope, 'SessionApi', {
             authorizer,
             config,
             restApiId,
             rootResourceId,
             securityGroups,
             vpc,
-            mcpApi
+            configTable: configurationApi.configTable,
         });
 
         new PromptTemplateApi(scope, 'PromptTemplateApi', {
diff --git a/lib/core/coreConstruct.ts b/lib/core/coreConstruct.ts
index d5d8b12b4..3b80017e7 100644
--- a/lib/core/coreConstruct.ts
+++ b/lib/core/coreConstruct.ts
@@ -14,18 +14,14 @@
   limitations under the License.
 */
 import * as lambda from 'aws-cdk-lib/aws-lambda';
-import { ILayerVersion, LayerVersion } from 'aws-cdk-lib/aws-lambda';
 import { StringParameter } from 'aws-cdk-lib/aws-ssm';
 import { Construct } from 'constructs';
 
 import { Layer } from './layers';
 import { BaseProps } from '../schema';
-import { createCdkId } from './utils';
-import { PythonLayerVersion } from '@aws-cdk/aws-lambda-python-alpha';
-import { getDefaultRuntime } from '../api-base/utils';
 import { RemovalPolicy, Stack, StackProps } from 'aws-cdk-lib';
 
-import { COMMON_LAYER_PATH, FASTAPI_LAYER_PATH, AUTHORIZER_LAYER_PATH, SDK_PATH } from '../util';
+import { COMMON_LAYER_PATH, FASTAPI_LAYER_PATH, AUTHORIZER_LAYER_PATH } from '../util';
 import { Bucket } from 'aws-cdk-lib/aws-s3';
 
 export const ARCHITECTURE = lambda.Architecture.X86_64;
@@ -89,24 +85,6 @@ export class CoreConstruct extends Construct {
             assetPath: config.lambdaLayerAssets?.authorizerLayerPath,
         });
 
-        // Build SDK Layer
-        let sdkLambdaLayer: ILayerVersion;
-        if (config.lambdaLayerAssets?.sdkLayerPath) {
-            sdkLambdaLayer = new LayerVersion(scope, 'SdkLayer', {
-                code: lambda.Code.fromAsset(config.lambdaLayerAssets?.sdkLayerPath),
-                compatibleRuntimes: [getDefaultRuntime()],
-                removalPolicy: config.removalPolicy,
-                description: 'LISA SDK common layer',
-            });
-        } else {
-            sdkLambdaLayer = new PythonLayerVersion(scope, 'SdkLayer', {
-                entry: SDK_PATH,
-                compatibleRuntimes: [getDefaultRuntime()],
-                removalPolicy: config.removalPolicy,
-                description: 'LISA SDK common layer',
-            });
-        }
-
         new StringParameter(scope, 'LisaCommonLamdaLayerStringParameter', {
             parameterName: `${config.deploymentPrefix}/layerVersion/common`,
             stringValue: commonLambdaLayer.layer.layerVersionArn,
@@ -124,11 +102,5 @@ export class CoreConstruct extends Construct {
             stringValue: authorizerLambdaLayer.layer.layerVersionArn,
             description: 'Layer Version ARN for LISA Authorizer Lambda Layer',
         });
-
-        new StringParameter(scope, createCdkId([config.deploymentName, config.deploymentStage, 'SdkLayer']), {
-            parameterName: `${config.deploymentPrefix}/layerVersion/lisa-sdk`,
-            stringValue: sdkLambdaLayer.layerVersionArn,
-            description: 'Layer Version ARN for LISA SDK Layer',
-        });
     }
 }
diff --git a/lib/core/layers/authorizer/requirements.txt b/lib/core/layers/authorizer/requirements.txt
index fb0ff6550..c27b5c1e3 100644
--- a/lib/core/layers/authorizer/requirements.txt
+++ b/lib/core/layers/authorizer/requirements.txt
@@ -1,4 +1,5 @@
 # urllib3<2 // Provided by Lambda
-requests==2.32.4
+# cachetools==5.5.0 // provided by Common Layer
+# requests==2.32.5 // provided by Common Layer
 cryptography==44.0.1
-PyJWT==2.9.0
+PyJWT==2.10.1
diff --git a/lib/core/layers/common/requirements.txt b/lib/core/layers/common/requirements.txt
index 7488d54a0..6f0a41f2e 100644
--- a/lib/core/layers/common/requirements.txt
+++ b/lib/core/layers/common/requirements.txt
@@ -1,4 +1,6 @@
 # boto3>=1.34.131 // Provided by Lambda
 # botocore>=1.34.131 // Provided by Lambda
 # urllib3<2 // Provided by Lambda
-psycopg2-binary==2.9.9
+psycopg2-binary==2.9.10
+cachetools==5.5.0
+requests==2.32.5
diff --git a/lib/core/layers/fastapi/requirements.txt b/lib/core/layers/fastapi/requirements.txt
index 11af70d39..56fd326e0 100644
--- a/lib/core/layers/fastapi/requirements.txt
+++ b/lib/core/layers/fastapi/requirements.txt
@@ -1,5 +1,6 @@
 # boto3==1.34.131 // Provided by Lambda
+# requests==2.32.5 // provided by Common Layer
 fastapi==0.111.0
 mangum==0.17.0
 pydantic==2.8.2
-requests==2.32.4
+cryptography==44.0.1
diff --git a/lib/docs/admin/deploy.md b/lib/docs/admin/deploy.md
index 33765d25a..e7096ca54 100644
--- a/lib/docs/admin/deploy.md
+++ b/lib/docs/admin/deploy.md
@@ -195,77 +195,144 @@ make bootstrap
 ```
 ## ADC Region Deployment Tips
 
-If you are deploying LISA into an ADC region with limited access to dependencies, we recommend that you build LISA in a
-commercial region first, and then bring it up into your ADC region to deploy. First, do the npm and pip installs on a
-computer with access to the dependencies. Then bundle it up with the libraries included and move into the ADC region.
-Some properties will need to be set in the deployment file pointing to the built artifacts. From there the deployment
-process is the same.
-
-### Using pre-built resources
-
-A default configuration will build the necessary containers, lambda layers, and production optimized
-web application at build time. In the event that you would like to use pre-built resources due to
-network connectivity reasons or other concerns with the environment where you'll be deploying LISA
-you can do so.
-
-- For ECS containers (Models, APIs, etc) you can modify the `containerConfig` block of
-  the corresponding entry in `config.yaml`. For container images you can provide a path to a directory
-  from which a docker container will be built (default), a path to a tarball, an ECR repository arn and
-  optional tag, or a public registry path.
-    - We provide immediate support for HuggingFace TGI and TEI containers and for vLLM containers. The `example_config.yaml`
-      file provides examples for TGI and TEI, and the only difference for using vLLM is to change the
-      `inferenceContainer`, `baseImage`, and `path` options, as indicated in the snippet below. All other options can
-      remain the same as the model definition examples we have for the TGI or TEI models. vLLM can also support embedding
-      models in this way, so all you need to do is refer to the embedding model artifacts and remove the `streaming` field
-      to deploy the embedding model.
-    - vLLM has support for the OpenAI Embeddings API, but model support for it is limited because the feature is new. Currently,
-      the only supported embedding model with vLLM is [intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct),
-      but this list is expected to grow over time as vLLM updates.
-      ```yaml
-      ecsModels:
-        - modelName: your-model-name
-          inferenceContainer: tgi
-          baseImage: ghcr.io/huggingface/text-generation-inference:2.0.1
-      ```
-- If you are deploying the LISA Chat User Interface you can optionally specify the path to the pre-built
-  website assets using the top level `webAppAssetsPath` parameter in `config.yaml`. Specifying this path
-  (typically `lib/user-interface/react/dist`) will avoid using a container to build and bundle the assets
-  at CDK build time.
-- For the lambda layers you can specify the path to a local zip archive of the layer code by including
-  the optional `lambdaLayerAssets` block in `config.yaml` similar to the following:
+Amazon Dedicated Cloud (ADC) regions are isolated AWS environments designed for government customers' most sensitive workloads. These regions have restricted internet access and limited external dependencies, requiring special deployment considerations for LISA.
 
-```
+There are two deployment approaches for ADC regions:
+
+1. **Pre-built Resources (Recommended)**: Build all components in a commercial region, then transfer to ADC
+2. **In-Region Building**: Configure LISA to use ADC-accessible repositories for building components
+
+### Approach 1: Pre-built Resources (Recommended)
+
+This approach builds all necessary components in a commercial region with full internet access, then transfers them to the ADC region.
+
+#### Step 1: Build Components in Commercial Region
+
+1. Set up LISA in a commercial AWS region with internet access
+2. Build all components:
+   ```bash
+   make buildArchive
+   ```
+   This generates:
+   - Lambda function zip files in `./dist/layers/*.zip`
+   - Docker images exported as `./dist/images/*.tar` files
+
+#### Step 2: Transfer to ADC Region
+
+1. Upload Docker images to ECR in your ADC region:
+   ```bash
+   # Load and tag images
+   docker load -i lisa-rest-api.tar
+   docker tag lisa-rest-api:latest <adc-account-id>.dkr.ecr.<adc-region>.amazonaws.com/lisa-rest-api:latest
+
+   # Push to ADC ECR
+   aws ecr get-login-password --region <adc-region> | docker login --username AWS --password-stdin <adc-account-id>.dkr.ecr.<adc-region>.amazonaws.com
+   docker push <adc-account-id>.dkr.ecr.<adc-region>.amazonaws.com/lisa-rest-api:latest
+   ```
+   You'll want to repeat this for lisa-batch-ingestion, as well as any of the LISA base model hosting containers (lisa-vllm, lisa-tgi, lisa-tei)
+
+2. Transfer built artifacts to ADC environment
+
+#### Step 3: Configure LISA for Pre-built Resources
+
+Update your `config-custom.yaml` in the ADC region:
+
+```yaml
+# Lambda layers from pre-built archives
 lambdaLayerAssets:
-  authorizerLayerPath: lib/core/layers/authorizer_layer.zip
-  commonLayerPath: lib/core/layers/common_layer.zip
-  fastapiLayerPath: /path/to/fastapi_layer.zip
-  sdkLayerPath: lib/rag/layers/sdk_layer.zip
+  authorizerLayerPath: './dist/layers/AimlAdcLisaAuthLayer.zip'
+  commonLayerPath: './dist/layers/AimlAdcLisaCommonLayer.zip'
+  fastapiLayerPath: './dist/layers/AimlAdcLisaFastApiLayer.zip'
+  ragLayerPath: './dist/layers/AimlAdcLisaRag.zip'
+  sdkLayerPath: './dist/layers/AimlAdcLisaSdk.zip'
+
+# Lambda functions
+lambdaPath: './dist/layers/AimlAdcLisaLambda.zip'
+
+# Pre-built web assets
+webAppAssetsPath: './dist/lisa-web'
+documentsPath: './dist/docs'
+ecsModelDeployerPath: './dist/ecs_model_deployer'
+vectorStoreDeployerPath: './dist/vector_store_deployer'
+
+# Container images from ECR
+batchIngestionConfig:
+  type: external
+  code: <adc-account-id>.dkr.ecr.<adc-region>.amazonaws.com/lisa-batch-ingestion:latest
+
+restApiConfig:
+  imageConfig:
+    type: external
+    code: <adc-account-id>.dkr.ecr.<adc-region>.amazonaws.com/lisa-rest-api:latest
 ```
 
-### Deploying in ADC region
 
-Now that we have everything setup we are ready to deploy.
 
-```bash
-make deploy
-```
+### Approach 2: In-Region Building
 
-By default, all stacks will be deployed but a particular stack can be deployed by providing the `STACK` argument to the `deploy` target.
+This approach configures LISA to build components using repositories accessible from within the ADC region.
 
-```bash
-make deploy STACK=LisaServe
-```
+#### Prerequisites
+- ADC-accessible package repositories (PyPI mirror, npm registry, container registry)
+- ADC-accessible container registries
+- Network connectivity to required build dependencies
 
-Available stacks can be listed by running:
+#### Configuration
 
-```bash
-make listStacks
+Update your `config-custom.yaml` to point to ADC-accessible repositories:
+
+```yaml
+# Configure pip to use ADC-accessible PyPI mirror
+pipConfig:
+  indexUrl: https://your-adc-pypi-mirror.com/simple
+  trustedHost: your-adc-pypi-mirror.com
+
+# Configure npm to use ADC-accessible registry
+npmConfig:
+  registry: https://your-adc-npm-registry.com
+
+# Use ADC-accessible base images for LISA-Serve and Batch Ingestion
+baseImage: <adc-registry>/python:3.11
 ```
+You'll also want any model hosting base containers available, e.g. vllm/vllm-openai:latest and ghcr.io/huggingface/text-embeddings-inference:latest
+
+To utilize the prebuilt hosting model containers with self-hosted models, select `type: ecr` in the Model Deployment > Container Configs.
 
-After the `deploy` command is run, you should see many docker build outputs and eventually a CDK progress bar. The deployment should take about 10-15 minutes and will produce a single cloud formation output for the websocket URL.
+### Deployment Steps
 
-You can test the deployment with the integration test:
+Once your configuration is complete:
+
+1. Bootstrap CDK (if not already done):
+   ```bash
+   make bootstrap
+   ```
+
+2. Deploy LISA:
+   ```bash
+   make deploy
+   ```
+
+3. Deploy specific stacks if needed:
+   ```bash
+   make deploy STACK=LisaServe
+   ```
+
+4. List available stacks:
+   ```bash
+   make listStacks
+   ```
+
+### Testing Your Deployment
+
+After deployment completes (10-15 minutes), test with:
 
 ```bash
-pytest lisa-sdk/tests --url <rest-url-from-cdk-output> --verify <path-to-server.crt> | false
+pytest lisa-sdk/tests --url <rest-url-from-cdk-output> --verify <path-to-server.crt>
 ```
+
+### Troubleshooting ADC Deployments
+
+- **Build failures**: Ensure all dependencies are accessible from ADC region
+- **Container pull errors**: Verify ECR repositories exist and have correct permissions
+- **Lambda deployment issues**: Check that lambda zip files are properly formatted and accessible
+- **Network connectivity**: Confirm VPC configuration allows required outbound connections
diff --git a/lib/models/model-api.ts b/lib/models/model-api.ts
index a81fc00db..0ec602a99 100644
--- a/lib/models/model-api.ts
+++ b/lib/models/model-api.ts
@@ -29,8 +29,10 @@ import {
     Role,
     ServicePrincipal,
 } from 'aws-cdk-lib/aws-iam';
-import { LayerVersion } from 'aws-cdk-lib/aws-lambda';
+import { Code, Function, LayerVersion } from 'aws-cdk-lib/aws-lambda';
 import { StringParameter } from 'aws-cdk-lib/aws-ssm';
+import { CustomResource, Duration } from 'aws-cdk-lib';
+import { Provider } from 'aws-cdk-lib/custom-resources';
 import { Construct } from 'constructs';
 
 import { getDefaultRuntime, PythonLambdaFunction, registerAPIEndpoint } from '../api-base/utils';
@@ -149,7 +151,7 @@ export class ModelsApi extends Construct {
         const stateMachinesLambdaRole = config.roles ?
             Role.fromRoleName(this, Roles.MODEL_SFN_LAMBDA_ROLE, config.roles.ModelsSfnLambdaRole) :
             this.createStateMachineLambdaRole(modelTable.tableArn, dockerImageBuilder.dockerImageBuilderFn.functionArn,
-                ecsModelDeployer.ecsModelDeployerFn.functionArn, lisaServeEndpointUrlPs.parameterArn, managementKeyName);
+                ecsModelDeployer.ecsModelDeployerFn.functionArn, lisaServeEndpointUrlPs.parameterArn, managementKeyName, config);
 
         const createModelStateMachine = new CreateModelStateMachine(this, 'CreateModelWorkflow', {
             config: config,
@@ -330,6 +332,39 @@ export class ModelsApi extends Construct {
             ]
         });
         lambdaFunction.role!.attachInlinePolicy(workflowPermissions);
+
+        // Model API key cleanup - runs once per deployment version
+        const modelApiKeyCleanupLambda = new Function(this, 'ModelApiKeyCleanup', {
+            runtime: getDefaultRuntime(),
+            handler: 'models.model_api_key_cleanup.lambda_handler',
+            code: Code.fromAsset(lambdaPath),
+            layers: lambdaLayers,
+            environment: {
+                LISA_API_URL_PS_NAME: lisaServeEndpointUrlPs.parameterName,
+                MANAGEMENT_KEY_NAME: managementKeyName,
+                REST_API_VERSION: 'v2',
+                DEPLOYMENT_PREFIX: config.deploymentPrefix || '',
+            },
+            role: stateMachinesLambdaRole,
+            vpc: vpc.vpc,
+            securityGroups: securityGroups,
+            timeout: Duration.minutes(5),
+            description: 'Remove api_key from existing Bedrock models to fix Invalid API Key format errors',
+        });
+
+        // Run cleanup automatically during deployment
+        const cleanupProvider = new Provider(this, 'ModelApiKeyCleanupProvider', {
+            onEventHandler: modelApiKeyCleanupLambda,
+        });
+
+        new CustomResource(this, 'ModelApiKeyCleanupResource', {
+            serviceToken: cleanupProvider.serviceToken,
+            properties: {
+                // Only runs once - increment this version number if you need to run cleanup again
+                CleanupVersion: '1',
+            },
+        });
+
     }
 
     /**
@@ -341,7 +376,7 @@ export class ModelsApi extends Construct {
      * @param managementKeyName - Name of the management key secret
      * @returns The created role
      */
-    createStateMachineLambdaRole (modelTableArn: string, dockerImageBuilderFnArn: string, ecsModelDeployerFnArn: string, lisaServeEndpointUrlParamArn: string, managementKeyName: string): IRole {
+    createStateMachineLambdaRole (modelTableArn: string, dockerImageBuilderFnArn: string, ecsModelDeployerFnArn: string, lisaServeEndpointUrlParamArn: string, managementKeyName: string, config: any): IRole {
         return new Role(this, Roles.MODEL_SFN_LAMBDA_ROLE, {
             assumedBy: new ServicePrincipal('lambda.amazonaws.com'),
             managedPolicies: [
@@ -357,6 +392,7 @@ export class ModelsApi extends Construct {
                                 'dynamodb:GetItem',
                                 'dynamodb:PutItem',
                                 'dynamodb:UpdateItem',
+                                'dynamodb:Scan',
                             ],
                             resources: [
                                 modelTableArn,
@@ -416,15 +452,6 @@ export class ModelsApi extends Construct {
                                 'StringEquals': {'aws:ResourceTag/lisa_temporary_instance': 'true'}
                             }
                         }),
-                        new PolicyStatement({
-                            effect: Effect.ALLOW,
-                            actions: [
-                                'ssm:GetParameter'
-                            ],
-                            resources: [
-                                lisaServeEndpointUrlParamArn
-                            ],
-                        }),
                         new PolicyStatement({
                             effect: Effect.ALLOW,
                             actions: [
@@ -466,6 +493,36 @@ export class ModelsApi extends Construct {
                             ],
                             resources: ['*'],
                         }),
+                        new PolicyStatement({
+                            effect: Effect.ALLOW,
+                            actions: [
+                                'bedrock:InvokeModel',
+                                'bedrock:InvokeModelWithResponseStream',
+                            ],
+                            resources: ['*'],  // Bedrock model ARNs are dynamic and region-specific
+                        }),
+                        new PolicyStatement({
+                            effect: Effect.ALLOW,
+                            actions: [
+                                'ssm:GetParameter',
+                            ],
+                            resources: [
+                                lisaServeEndpointUrlParamArn,
+                                `arn:${config.partition}:ssm:${config.region}:${config.accountNumber}:parameter${config.deploymentPrefix}/lisaServeRestApiUri`,
+                                `arn:${config.partition}:ssm:${config.region}:${config.accountNumber}:parameter/LISA-lisa-management-key`,
+                                `arn:${config.partition}:ssm:${config.region}:${config.accountNumber}:parameter${config.deploymentPrefix}/LiteLLMDbConnectionInfo`,
+                                `arn:${config.partition}:ssm:${config.region}:${config.accountNumber}:parameter${config.deploymentPrefix}/modelTableName`,
+                            ],
+                        }),
+                        new PolicyStatement({
+                            effect: Effect.ALLOW,
+                            actions: [
+                                'secretsmanager:GetSecretValue',
+                            ],
+                            resources: [
+                                `arn:${config.partition}:secretsmanager:${config.region}:${config.accountNumber}:secret:*`,  // LiteLLM DB password secret
+                            ],
+                        }),
                     ]
                 }),
             }
diff --git a/lib/models/state-machine/create-model.ts b/lib/models/state-machine/create-model.ts
index cb5de9ddf..57c7a3d4c 100644
--- a/lib/models/state-machine/create-model.ts
+++ b/lib/models/state-machine/create-model.ts
@@ -75,6 +75,7 @@ export class CreateModelStateMachine extends Construct {
             RESTAPI_SSL_CERT_ARN: config.restApiConfig?.sslCertIamArn ?? '',
             LITELLM_CONFIG_OBJ: JSON.stringify(config.litellmConfig),
             AWS_ACCOUNT_ID: config.accountNumber,
+            AWS_PARTITION: config.partition,
         };
 
         const setModelToCreating = new LambdaInvoke(this, 'SetModelToCreating', {
diff --git a/lib/rag/api/repository.ts b/lib/rag/api/repository.ts
index 4a8e6a360..abbe6014a 100644
--- a/lib/rag/api/repository.ts
+++ b/lib/rag/api/repository.ts
@@ -125,6 +125,16 @@ export class RepositoryApi extends Construct {
                     ...baseEnvironment,
                 },
             },
+            {
+                name: 'delete_index',
+                resource: 'repository',
+                description: 'Delete an index within a repository',
+                path: 'repository/{repositoryId}/index/{modelName}',
+                method: 'DELETE',
+                environment: {
+                    ...baseEnvironment,
+                },
+            },
             {
                 name: 'similarity_search',
                 resource: 'repository',
diff --git a/lib/rag/ingestion/ingestion-image/Dockerfile b/lib/rag/ingestion/ingestion-image/Dockerfile
index 22ae46154..dd2c07ccc 100644
--- a/lib/rag/ingestion/ingestion-image/Dockerfile
+++ b/lib/rag/ingestion/ingestion-image/Dockerfile
@@ -1,11 +1,13 @@
-FROM public.ecr.aws/lambda/python:3.11
+ARG BASE_IMAGE=public.ecr.aws/lambda/python:3.11
+FROM ${BASE_IMAGE}
 
 ARG BUILD_DIR=build
 
 WORKDIR /workdir
 
 COPY ./requirements.txt /workdir
-RUN /var/lang/bin/pip install --no-cache-dir -r /workdir/requirements.txt -t .
+RUN /var/lang/bin/pip install --no-cache-dir --upgrade pip && \
+    /var/lang/bin/pip install --no-cache-dir -r /workdir/requirements.txt -t .
 
 COPY ./${BUILD_DIR} /workdir
 
diff --git a/lib/rag/ingestion/ingestion-image/requirements.txt b/lib/rag/ingestion/ingestion-image/requirements.txt
index 97cd2f20d..9b1625b4f 100644
--- a/lib/rag/ingestion/ingestion-image/requirements.txt
+++ b/lib/rag/ingestion/ingestion-image/requirements.txt
@@ -1,6 +1,8 @@
 # boto3>=1.34.131 // Provided by Lambda
 # botocore>=1.34.131 // Provided by Lambda
 # urllib3<2 // Provided by Lambda
+# Pin NumPy to avoid GCC 9.3+ requirement in Docker builds
+numpy<2.0.0
 aioboto3==12.3.0
 aiobotocore==2.11.2
 aiohttp==3.12.14
@@ -10,9 +12,9 @@ cryptography==44.0.1
 fastapi_utils==0.7.0
 fastapi==0.115.11
 gunicorn==23.0.0
-langchain-community==0.3.9
-langchain-openai==0.2.11
-langchain==0.3.9
+langchain-community==0.3.27
+langchain-core==0.3.76
+langchain-text-splitters==0.3.11
 loguru==0.7.2
 mangum==0.17.0
 opensearch-py==2.6.0
@@ -20,12 +22,12 @@ pgvector==0.2.5
 prisma==0.13.1
 psycopg2-binary==2.9.9
 pydantic==2.8.2
-PyJWT==2.9.0
+PyJWT==2.10.1
 pynacl==1.5.0
 pypdf==6.0.0
 lxml==5.1.0
 python-docx==1.1.0
 requests-aws4auth==1.2.3
-requests==2.32.4
+requests==2.32.5
 text-generation==0.7.0
 uvicorn==0.29.0
diff --git a/lib/rag/ingestion/ingestion-job-construct.ts b/lib/rag/ingestion/ingestion-job-construct.ts
index 37625cdb4..9e52cc066 100644
--- a/lib/rag/ingestion/ingestion-job-construct.ts
+++ b/lib/rag/ingestion/ingestion-job-construct.ts
@@ -29,10 +29,10 @@ import * as batch from 'aws-cdk-lib/aws-batch';
 import * as ecs from 'aws-cdk-lib/aws-ecs';
 import * as dynamodb from 'aws-cdk-lib/aws-dynamodb';
 import * as lambda from 'aws-cdk-lib/aws-lambda';
+import { getDefaultRuntime } from '../../api-base/utils';
 import { Vpc } from '../../networking/vpc';
 import path from 'path';
 import { ILayerVersion } from 'aws-cdk-lib/aws-lambda';
-import { getDefaultRuntime } from '../../api-base/utils';
 import { StringParameter } from 'aws-cdk-lib/aws-ssm';
 import * as fs from 'fs';
 import * as crypto from 'crypto';
@@ -63,7 +63,7 @@ export class IngestionJobConstruct extends Construct {
     constructor (scope: Construct, id: string, props: IngestionJobConstructProps) {
         super(scope, id);
 
-        const { config, vpc, lambdaRole, layers, baseEnvironment } = props;
+        const { config, vpc, layers, lambdaRole, baseEnvironment } = props;
         const hash = crypto.randomBytes(6).toString('hex');
 
         // DynamoDB table for tracking ingestion jobs
@@ -132,10 +132,9 @@ export class IngestionJobConstruct extends Construct {
         // Skip actual copying during tests to avoid file not found errors
         if (process.env.NODE_ENV !== 'test') {
             fs.cpSync(path.join(__dirname, '../../../lambda'), buildDir, copyOptions);
-            fs.cpSync(path.join(__dirname, '../../../lisa-sdk/lisapy'), path.join(buildDir, 'lisapy'), copyOptions);
         } else {
             // For tests, we just ensure the directories exist but don't copy files
-            const directories = ['repository', 'prompt_templates', 'lisapy'];
+            const directories = ['repository', 'prompt_templates'];
             directories.forEach((dir) => {
                 const dirPath = path.join(buildDir, dir);
                 fs.mkdirSync(dirPath, { recursive: true });
@@ -190,7 +189,7 @@ export class IngestionJobConstruct extends Construct {
             resources: ['*']
         }));
 
-        // Lambda function for handling scheduled document ingestion
+        // Lambda function for handling scheduled document ingestion - using container image
         const handlePipelineIngestScheduleLambda = new lambda.Function(this, 'handlePipelineIngestSchedule', {
             functionName: `${config.deploymentName}-${config.deploymentStage}-ingestion-ingest-schedule-${hash}`,
             runtime: getDefaultRuntime(),
@@ -213,7 +212,7 @@ export class IngestionJobConstruct extends Construct {
             action: 'lambda:InvokeFunction'
         });
 
-        // Lambda function for handling S3 event-based document ingestion
+        // Lambda function for handling S3 event-based document ingestion - using container image
         const handlePipelineIngestEvent = new lambda.Function(this, 'handlePipelineIngestEvent', {
             functionName: `${config.deploymentName}-${config.deploymentStage}-ingestion-ingest-event-${hash}`,
             runtime: getDefaultRuntime(),
@@ -223,7 +222,7 @@ export class IngestionJobConstruct extends Construct {
             memorySize: 256,
             vpc: vpc!.vpc,
             environment: baseEnvironment,
-            layers: layers,
+            layers,
             role: lambdaRole
         });
         const eventParameterName = `${config.deploymentPrefix}/ingestion/ingest/event`;
@@ -236,17 +235,17 @@ export class IngestionJobConstruct extends Construct {
             action: 'lambda:InvokeFunction'
         });
 
-        // Lambda function for handling document deletion events
+        // Lambda function for handling document deletion events - using container image
         const handlePipelineDeleteEvent = new lambda.Function(this, 'handlePipelineDeleteEvent', {
             functionName: `${config.deploymentName}-${config.deploymentStage}-ingestion-delete-event-${hash}`,
             runtime: getDefaultRuntime(),
-            handler: 'repository.pipeline_delete_documents.handle_pipeline_delete_event',
+            handler: 'repository.pipeline_ingest_documents.handle_pipeline_delete_event',
             code: lambda.Code.fromAsset('./lambda'),
             timeout: Duration.seconds(60),
             memorySize: 256,
             vpc: vpc!.vpc,
             environment: baseEnvironment,
-            layers: layers,
+            layers,
             role: lambdaRole
         });
         const deleteParameterName = `${config.deploymentPrefix}/ingestion/delete/event`;
diff --git a/lib/rag/layer/requirements.txt b/lib/rag/layer/requirements.txt
index 36d98af3e..02dd6c16e 100644
--- a/lib/rag/layer/requirements.txt
+++ b/lib/rag/layer/requirements.txt
@@ -1,13 +1,22 @@
-# boto3>=1.34.131 // Provided by Lambda
-# botocore>=1.34.131 // Provided by Lambda
-# urllib3<2 // Provided by Lambda
-langchain==0.3.9
-langchain-community==0.3.9
-langchain-openai==0.2.11
+# Container-based Lambda - no size constraints!
+# All packages can be included since container images have 10GB limit
+
+# Core RAG packages
+# psycopg2-binary==2.9.10 // provided by Common Layer
+langchain-text-splitters==0.3.11
+langchain-community==0.3.27
+langchain-core==0.3.76
+# Required by langchain-community - Pin NumPy to avoid GCC 9.3+
+numpy<2.0.0
+
+# Database and search connectors
 opensearch-py==2.6.0
 pgvector==0.2.5
-psycopg2-binary==2.9.9
 pypdf==6.0.0
-lxml==5.1.0
-python-docx==1.1.0
-requests-aws4auth==1.2.3
+lxml==5.3.0
+python-docx==1.1.2
+requests-aws4auth==1.3.1
+tiktoken==0.9.0
+
+# Force urllib3 to newer version for security (resolves Poetry 1.5.1 conflict)
+urllib3==2.5.0
diff --git a/lib/rag/ragConstruct.ts b/lib/rag/ragConstruct.ts
index fa35491ff..509287b82 100644
--- a/lib/rag/ragConstruct.ts
+++ b/lib/rag/ragConstruct.ts
@@ -169,6 +169,7 @@ export class LisaRagConstruct extends Construct {
             REGISTERED_REPOSITORIES_PS_PREFIX: `${config.deploymentPrefix}/LisaServeRagConnectionInfo/`,
             REGISTERED_REPOSITORIES_PS: `${config.deploymentPrefix}/registeredRepositories`,
             REST_API_VERSION: 'v2',
+            TIKTOKEN_CACHE_DIR: '/tmp',
         };
 
         // Add REST API SSL Cert ARN if it exists to be used to verify SSL calls to REST API
@@ -196,12 +197,6 @@ export class LisaRagConstruct extends Construct {
             StringParameter.valueForStringParameter(scope, `${config.deploymentPrefix}/layerVersion/common`),
         );
 
-        const sdkLayer = LayerVersion.fromLayerVersionArn(
-            scope,
-            'rag-sdk-lambda-layer',
-            StringParameter.valueForStringParameter(scope, `${config.deploymentPrefix}/layerVersion/lisa-sdk`),
-        );
-
         // Pre-generate the tiktoken cache to ensure it does not attempt to fetch data from the internet at runtime.
         if (config.restApiConfig.imageConfig === undefined) {
             const cache_dir = path.join(RAG_LAYER_PATH, 'TIKTOKEN_CACHE');
@@ -233,7 +228,22 @@ export class LisaRagConstruct extends Construct {
             parameterName: `${config.deploymentPrefix}/layerVersion/rag`,
             stringValue: ragLambdaLayer.layer.layerVersionArn
         });
-        const layers = [commonLambdaLayer, ragLambdaLayer.layer, sdkLayer];
+
+        const layers = [commonLambdaLayer, ragLambdaLayer.layer];
+
+        // Pre-generate the tiktoken cache to ensure it does not attempt to fetch data from the internet at runtime.
+        if (config.restApiConfig.imageConfig === undefined) {
+            const cache_dir = path.join(RAG_LAYER_PATH, 'TIKTOKEN_CACHE');
+            // Skip tiktoken cache generation in test environment
+            if (process.env.NODE_ENV !== 'test') {
+                try {
+                    child_process.execSync(`python3 scripts/cache-tiktoken-for-offline.py ${cache_dir}`, { stdio: 'inherit' });
+                } catch (error) {
+                    console.warn('Failed to generate tiktoken cache:', error);
+                    // Continue execution even if cache generation fails
+                }
+            }
+        }
 
         // create a security group for opensearch
         const openSearchSg = SecurityGroupFactory.createSecurityGroup(
@@ -323,7 +333,7 @@ export class LisaRagConstruct extends Construct {
             config,
             vpc,
             baseEnvironment,
-            { common: commonLambdaLayer, rag: ragLambdaLayer.layer, sdk: sdkLayer },
+            { common: commonLambdaLayer, rag: ragLambdaLayer.layer },
             lambdaRole,
             docMetaTable,
             subDocTable,
@@ -354,7 +364,7 @@ export class LisaRagConstruct extends Construct {
         config: Config,
         vpc: Vpc,
         baseEnvironment: Record<string, string>,
-        layers: { [key in 'common' | 'sdk' | 'rag']: ILayerVersion },
+        layers: { [key in 'common' | 'rag']: ILayerVersion },
         lambdaRole: IRole,
         docMetaTable: dynamodb.ITable,
         subDocTable: dynamodb.ITable,
@@ -613,7 +623,7 @@ export class LisaRagConstruct extends Construct {
                             rdsConfig: ragConfig.rdsConfig,
                             repositoryId: ragConfig.repositoryId,
                             type: ragConfig.type,
-                            layers: [layers.common, layers.rag, layers.sdk],
+                            layers: [layers.common, layers.rag],
                             registeredRepositoriesParamName,
                             ragDocumentTable: docMetaTable,
                             ragSubDocumentTable: subDocTable,
diff --git a/lib/rag/vector-store/state_machine/delete-store.ts b/lib/rag/vector-store/state_machine/delete-store.ts
index cda13d22d..1c5cb23f3 100644
--- a/lib/rag/vector-store/state_machine/delete-store.ts
+++ b/lib/rag/vector-store/state_machine/delete-store.ts
@@ -33,8 +33,8 @@ import { LAMBDA_PATH } from '../../../util';
 
 type DeleteStoreStateMachineProps = BaseProps & {
     ragVectorStoreTable: ITable,
-    lambdaLayers: ILayerVersion[];
     vectorStoreDeployerFnArn: string;
+    lambdaLayers: ILayerVersion[];
     vpc: Vpc,
     role?: iam.IRole,
     executionRole: iam.IRole;
@@ -137,7 +137,8 @@ export class DeleteStoreStateMachine extends Construct {
         }).next(handleCleanupBedrockKnowledgeBase);
 
         const lambdaPath = config.lambdaPath || LAMBDA_PATH;
-        const cleanupDocsFunc = new Function(this, 'CleanupRepositoryDocsFunc', {
+
+        const cleanupDocsFunc =  new Function(this, 'CleanupRepositoryDocsFunc', {
             runtime: getDefaultRuntime(),
             handler: 'repository.state_machine.cleanup_repo_docs.lambda_handler',
             code: Code.fromAsset(lambdaPath),
diff --git a/lib/schema/configSchema.ts b/lib/schema/configSchema.ts
index c29fd4c76..59dd74789 100644
--- a/lib/schema/configSchema.ts
+++ b/lib/schema/configSchema.ts
@@ -490,7 +490,7 @@ export const MetricConfigSchema = z.object({
     .describe('Metric configuration for ECS auto scaling.');
 
 export const AutoScalingConfigSchema = z.object({
-    blockDeviceVolumeSize: z.number().min(30).default(30),
+    blockDeviceVolumeSize: z.number().min(30).default(50),
     minCapacity: z.number().min(1).default(1).describe('Minimum capacity for auto scaling. Must be at least 1.'),
     maxCapacity: z.number().min(1).default(2).describe('Maximum capacity for auto scaling. Must be at least 1.'),
     defaultInstanceWarmup: z.number().default(180).describe('Default warm-up time in seconds until a newly launched instance can'),
@@ -828,7 +828,7 @@ export const RawConfigObject = z.object({
     privateEndpoints: z.boolean().default(false).describe('Whether to use privateEndpoints for REST API.'),
     s3BucketModels: z.string().describe('S3 bucket for models.'),
     mountS3DebUrl: z.string().describe('URL for S3-mounted Debian package.'),
-    imageBuilderVolumeSize: z.number().default(30).describe('EC2 volume size for image builder. Needs to be large enough for system plus inference container.'),
+    imageBuilderVolumeSize: z.number().default(50).describe('EC2 volume size for image builder. Needs to be large enough for system plus inference container.'),
     accountNumbersEcr: z
         .array(z.union([z.number(), z.string()]))
         .transform((arr) => arr.map(String))
@@ -883,7 +883,6 @@ export const RawConfigObject = z.object({
             commonLayerPath: z.string().optional().describe('Lambda common layer code path'),
             fastapiLayerPath: z.string().optional().describe('Lambda API code path'),
             ragLayerPath: z.string().optional().describe('Lambda RAG layer code path'),
-            sdkLayerPath: z.string().optional().describe('Lambda SDK layer code path'),
         })
         .optional()
         .describe('Configuration for local Lambda layer code'),
diff --git a/lib/serve/ecs-model/embedding/instructor/Dockerfile b/lib/serve/ecs-model/embedding/instructor/Dockerfile
index 177356c37..f84bf09ab 100644
--- a/lib/serve/ecs-model/embedding/instructor/Dockerfile
+++ b/lib/serve/ecs-model/embedding/instructor/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_IMAGE
+ARG BASE_IMAGE=python:3.11
 FROM ${BASE_IMAGE}
 
 #### POINT TO NEW PYPI CONFIG
@@ -26,6 +26,7 @@ RUN if [ "$CONDA_URL" != "" ]; then \
 
 RUN /opt/conda/bin/conda install s5cmd && \
     /opt/conda/bin/conda clean -ya && \
+    pip install --no-cache-dir --upgrade pip && \
     pip install -U --no-cache --upgrade torchserve torch-model-archiver torch-workflow-archiver
 
 ARG LOCAL_CODE_PATH
diff --git a/lib/serve/ecs-model/embedding/instructor/src/requirements.txt b/lib/serve/ecs-model/embedding/instructor/src/requirements.txt
index 533606cf1..33e2ac50b 100644
--- a/lib/serve/ecs-model/embedding/instructor/src/requirements.txt
+++ b/lib/serve/ecs-model/embedding/instructor/src/requirements.txt
@@ -1,3 +1,3 @@
-InstructorEmbedding
-sentence-transformers
-transformers
+InstructorEmbedding==1.0.1
+sentence-transformers==3.3.1
+transformers==4.56.0
diff --git a/lib/serve/ecs-model/embedding/tei/Dockerfile b/lib/serve/ecs-model/embedding/tei/Dockerfile
index 1e25374b0..b45ddfe99 100644
--- a/lib/serve/ecs-model/embedding/tei/Dockerfile
+++ b/lib/serve/ecs-model/embedding/tei/Dockerfile
@@ -1,10 +1,14 @@
-ARG BASE_IMAGE
+ARG BASE_IMAGE=ghcr.io/huggingface/text-embeddings-inference:1.2.3
 FROM ${BASE_IMAGE}
 
 ##### DOWNLOAD MOUNTPOINTS S3
 ARG MOUNTS3_DEB_URL
+ARG MOUNTS3_DEB_SHA256
 RUN apt update -y && apt install -y wget rsync && \
-    wget ${MOUNTS3_DEB_URL} && \
+    wget ${MOUNTS3_DEB_URL} -O mount-s3.deb && \
+    if [ -n "${MOUNTS3_DEB_SHA256}" ]; then \
+        echo "${MOUNTS3_DEB_SHA256}  mount-s3.deb" | sha256sum -c; \
+    fi && \
     apt install -y ./mount-s3.deb && \
     rm mount-s3.deb
 
diff --git a/lib/serve/ecs-model/textgen/tgi/Dockerfile b/lib/serve/ecs-model/textgen/tgi/Dockerfile
index 1e25374b0..8549e3a46 100644
--- a/lib/serve/ecs-model/textgen/tgi/Dockerfile
+++ b/lib/serve/ecs-model/textgen/tgi/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_IMAGE
+ARG BASE_IMAGE=ghcr.io/huggingface/text-generation-inference:2.0.1
 FROM ${BASE_IMAGE}
 
 ##### DOWNLOAD MOUNTPOINTS S3
diff --git a/lib/serve/ecs-model/vllm/Dockerfile b/lib/serve/ecs-model/vllm/Dockerfile
index 1e25374b0..a35b36396 100644
--- a/lib/serve/ecs-model/vllm/Dockerfile
+++ b/lib/serve/ecs-model/vllm/Dockerfile
@@ -1,8 +1,9 @@
-ARG BASE_IMAGE
+ARG BASE_IMAGE=python:3.11
 FROM ${BASE_IMAGE}
 
 ##### DOWNLOAD MOUNTPOINTS S3
 ARG MOUNTS3_DEB_URL
+ARG MOUNTS3_DEB_SHA256
 RUN apt update -y && apt install -y wget rsync && \
     wget ${MOUNTS3_DEB_URL} && \
     apt install -y ./mount-s3.deb && \
diff --git a/lib/serve/mcp-workbench/Dockerfile b/lib/serve/mcp-workbench/Dockerfile
index 7ddc3a087..4be972214 100644
--- a/lib/serve/mcp-workbench/Dockerfile
+++ b/lib/serve/mcp-workbench/Dockerfile
@@ -36,11 +36,12 @@ RUN unzip -d /tmp /tmp/$(basename $RCLONE_SOURCE) && \
 
 # Copy and install the MCP workbench package
 COPY . /workspace/mcpworkbench-src/
-RUN pip install -e /workspace/mcpworkbench-src/
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -e /workspace/mcpworkbench-src/
 
 # Install additional requirements
 COPY requirements.txt /workspace/
-RUN pip install -r /workspace/requirements.txt
+RUN pip install --no-cache-dir -r /workspace/requirements.txt
 
 # Copy s6-overlay service definitions
 COPY s6-overlay/services.d /etc/services.d
diff --git a/lib/serve/mcp-workbench/pyproject.toml b/lib/serve/mcp-workbench/pyproject.toml
index 5dfffe655..558830536 100644
--- a/lib/serve/mcp-workbench/pyproject.toml
+++ b/lib/serve/mcp-workbench/pyproject.toml
@@ -22,7 +22,7 @@ dependencies = [
     "gunicorn==23.0.0",
     "pydantic==2.8.2",
     "PyJWT==2.9.0",
-    "requests==2.32.4",
+    "requests==2.32.5",
     "fastapi==0.115.11",
     "fastapi_utils==0.7.0",
     "loguru==0.7.2"
diff --git a/lib/serve/rest-api/Dockerfile b/lib/serve/rest-api/Dockerfile
index ceb768db6..325aefff3 100644
--- a/lib/serve/rest-api/Dockerfile
+++ b/lib/serve/rest-api/Dockerfile
@@ -1,6 +1,13 @@
-ARG BASE_IMAGE
+ARG BASE_IMAGE=python:3.11
 FROM ${BASE_IMAGE}
 
+# Install build dependencies for madoka package
+RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    make \
+    && rm -rf /var/lib/apt/lists/*
+
 # Copy LiteLLM config directly out of the LISA config.yaml file
 ARG LITELLM_CONFIG
 
@@ -23,8 +30,7 @@ COPY src/ ./src
 
 COPY TIKTOKEN_CACHE ./TIKTOKEN_CACHE
 
-# Generate the prisma binary
-RUN prisma generate
+# LiteLLM will handle Prisma setup at runtime with --use_prisma_db_push flag
 
 # Copy LiteLLM config directly to container, it will be updated at runtime
 # with LISA-hosted models. This filename is expected in the entrypoint.sh file, so do not modify
diff --git a/lib/serve/rest-api/src/api/endpoints/v1/embeddings.py b/lib/serve/rest-api/src/api/endpoints/v1/embeddings.py
index 163e8303b..454fd1ced 100644
--- a/lib/serve/rest-api/src/api/endpoints/v1/embeddings.py
+++ b/lib/serve/rest-api/src/api/endpoints/v1/embeddings.py
@@ -27,7 +27,7 @@
 router = APIRouter()
 
 
-@router.post(f"/{RestApiResource.EMBEDDINGS.value}")
+@router.post(f"/{RestApiResource.EMBEDDINGS}")
 async def embeddings(request: EmbeddingsRequest) -> JSONResponse:
     """Text embeddings."""
     response = await handle_embeddings(request.dict())
diff --git a/lib/serve/rest-api/src/api/endpoints/v1/generation.py b/lib/serve/rest-api/src/api/endpoints/v1/generation.py
index 6413035c8..d80ff6f14 100644
--- a/lib/serve/rest-api/src/api/endpoints/v1/generation.py
+++ b/lib/serve/rest-api/src/api/endpoints/v1/generation.py
@@ -33,7 +33,7 @@
 router = APIRouter()
 
 
-@router.post(f"/{RestApiResource.GENERATE.value}")
+@router.post(f"/{RestApiResource.GENERATE}")
 async def generate(request: GenerateRequest) -> JSONResponse:
     """Text generation."""
     response = await handle_generate(request.dict())
@@ -41,7 +41,7 @@ async def generate(request: GenerateRequest) -> JSONResponse:
     return JSONResponse(content=response, status_code=200)
 
 
-@router.post(f"/{RestApiResource.GENERATE_STREAM.value}")
+@router.post(f"/{RestApiResource.GENERATE_STREAM}")
 async def generate_stream(request: GenerateStreamRequest) -> StreamingResponse:
     """Text generation with streaming."""
     return StreamingResponse(
@@ -50,7 +50,7 @@ async def generate_stream(request: GenerateStreamRequest) -> StreamingResponse:
     )
 
 
-@router.post(f"/{RestApiResource.OPENAI_CHAT_COMPLETIONS.value}")
+@router.post(f"/{RestApiResource.OPENAI_CHAT_COMPLETIONS}")
 async def openai_chat_completion_generate_stream(request: OpenAIChatCompletionsRequest) -> StreamingResponse:
     """Text generation with streaming."""
     return StreamingResponse(
@@ -59,7 +59,7 @@ async def openai_chat_completion_generate_stream(request: OpenAIChatCompletionsR
     )
 
 
-@router.post(f"/{RestApiResource.OPENAI_COMPLETIONS.value}")
+@router.post(f"/{RestApiResource.OPENAI_COMPLETIONS}")
 async def openai_completion_generate_stream(request: OpenAICompletionsRequest) -> StreamingResponse:
     """Text generation with streaming."""
     return StreamingResponse(
diff --git a/lib/serve/rest-api/src/api/endpoints/v1/models.py b/lib/serve/rest-api/src/api/endpoints/v1/models.py
index e3d374552..3bcb353c0 100644
--- a/lib/serve/rest-api/src/api/endpoints/v1/models.py
+++ b/lib/serve/rest-api/src/api/endpoints/v1/models.py
@@ -33,7 +33,7 @@
 router = APIRouter()
 
 
-@router.get(f"/{RestApiResource.DESCRIBE_MODEL.value}")
+@router.get(f"/{RestApiResource.DESCRIBE_MODEL}")
 async def describe_model(
     provider: str = Query(
         None,
@@ -52,7 +52,7 @@ async def describe_model(
     return JSONResponse(content=response, status_code=200)
 
 
-@router.get(f"/{RestApiResource.DESCRIBE_MODELS.value}")
+@router.get(f"/{RestApiResource.DESCRIBE_MODELS}")
 async def describe_models(
     model_types: Optional[List[ModelType]] = Query(
         None,
@@ -69,7 +69,7 @@ async def describe_models(
     return JSONResponse(content=response, status_code=200)
 
 
-@router.get(f"/{RestApiResource.LIST_MODELS.value}")
+@router.get(f"/{RestApiResource.LIST_MODELS}")
 async def list_models(
     model_types: Optional[List[ModelType]] = Query(
         None,
@@ -86,7 +86,7 @@ async def list_models(
     return JSONResponse(content=response, status_code=200)
 
 
-@router.get(f"/{RestApiResource.OPENAI_LIST_MODELS.value}")
+@router.get(f"/{RestApiResource.OPENAI_LIST_MODELS}")
 async def openai_list_models() -> JSONResponse:
     """List models for OpenAI Compatibility. Only returns TEXTGEN models."""
     response = await handle_openai_list_models()
diff --git a/lib/serve/rest-api/src/api/endpoints/v2/litellm_passthrough.py b/lib/serve/rest-api/src/api/endpoints/v2/litellm_passthrough.py
index 880eb2b60..1341b3469 100644
--- a/lib/serve/rest-api/src/api/endpoints/v2/litellm_passthrough.py
+++ b/lib/serve/rest-api/src/api/endpoints/v2/litellm_passthrough.py
@@ -25,7 +25,7 @@
 from fastapi.responses import JSONResponse, Response, StreamingResponse
 from starlette.status import HTTP_401_UNAUTHORIZED
 
-from ....auth import get_authorization_token, get_jwks_client, id_token_is_valid, is_idp_used, is_user_in_group
+from ....auth import Authorizer
 
 # Local LiteLLM installation URL. By default, LiteLLM runs on port 4000. Change the port here if the
 # port was changed as part of the LiteLLM startup in entrypoint.sh
@@ -102,40 +102,10 @@ async def litellm_passthrough(request: Request, api_path: str) -> Response:
     litellm_path = f"{LITELLM_URL}/{api_path}"
     headers = dict(request.headers.items())
 
-    if not is_valid_management_token(headers):
-        # If not handling an OpenAI request, we will also check if the user is an Admin user before allowing the
-        # request, otherwise, we will block it. This prevents non-admins from invoking model management APIs
-        # directly. If LISA Serve is deployed without an IdP configuration, we cannot determine who is an admin
-        # user, so all API routes will default to being openly accessible.
-        if is_idp_used():
-            client_id = os.environ.get("CLIENT_ID", "")
-            authority = os.environ.get("AUTHORITY", "")
-            admin_group = os.environ.get("ADMIN_GROUP", "")
-            user_group = os.environ.get("USER_GROUP", "")
-            jwt_groups_property = os.environ.get("JWT_GROUPS_PROP", "")
-
-            id_token = get_authorization_token(headers=headers, header_name="Authorization")
-            jwks_client = get_jwks_client()
-            if jwt_data := id_token_is_valid(
-                id_token=id_token, authority=authority, client_id=client_id, jwks_client=jwks_client
-            ):
-                if user_group != "" and not is_user_in_group(
-                    jwt_data=jwt_data, group=user_group, jwt_groups_property=jwt_groups_property
-                ):
-                    raise HTTPException(
-                        status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated in litellm_passthrough"
-                    )
-                if api_path not in OPENAI_ROUTES:
-                    if not is_user_in_group(
-                        jwt_data=jwt_data, group=admin_group, jwt_groups_property=jwt_groups_property
-                    ):
-                        raise HTTPException(
-                            status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated in litellm_passthrough"
-                        )
-            else:
-                raise HTTPException(
-                    status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated in litellm_passthrough"
-                )
+    authorizer = Authorizer()
+    require_admin = api_path not in OPENAI_ROUTES
+    if not await authorizer.can_access(request, require_admin):
+        raise HTTPException(status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated in litellm_passthrough")
 
     # At this point in the request, we have already validated auth with IdP or persistent token. By using LiteLLM for
     # model management, LiteLLM requires an admin key, and that forces all requests to require a key as well. To avoid
@@ -154,32 +124,6 @@ async def litellm_passthrough(request: Request, api_path: str) -> Response:
         return StreamingResponse(generate_response(response.iter_lines()), status_code=response.status_code)
     else:  # not a streaming request
         response = requests.request(method=http_method, url=litellm_path, json=params, headers=headers)
+        if response.status_code != 200:
+            logger.error(f"LiteLLM error response: {response.text}")
         return JSONResponse(response.json(), status_code=response.status_code)
-
-
-def refresh_management_tokens() -> list[str]:
-    """Return secret management tokens if they exist."""
-    secret_tokens = []
-
-    try:
-        secret_tokens.append(
-            secrets_manager.get_secret_value(SecretId=os.environ.get("MANAGEMENT_KEY_NAME"), VersionStage="AWSCURRENT")[
-                "SecretString"
-            ]
-        )
-        secret_tokens.append(
-            secrets_manager.get_secret_value(
-                SecretId=os.environ.get("MANAGEMENT_KEY_NAME"), VersionStage="AWSPREVIOUS"
-            )["SecretString"]
-        )
-    except Exception:
-        logger.info(f"No previous secret version for {os.environ.get('MANAGEMENT_KEY_NAME')}")
-
-    return secret_tokens
-
-
-def is_valid_management_token(headers: dict[str, str]) -> bool:
-    """Return if API Token from request headers is valid if found."""
-    secret_tokens = refresh_management_tokens()
-    token = get_authorization_token(headers=headers, header_name="Authorization").strip()
-    return token in secret_tokens
diff --git a/lib/serve/rest-api/src/api/routes.py b/lib/serve/rest-api/src/api/routes.py
index ca79631ae..08e052796 100644
--- a/lib/serve/rest-api/src/api/routes.py
+++ b/lib/serve/rest-api/src/api/routes.py
@@ -20,20 +20,20 @@
 from fastapi import APIRouter, Depends
 from fastapi.responses import JSONResponse
 
-from ..auth import OIDCHTTPBearer
+from ..auth import Authorizer
 from .endpoints.v2 import litellm_passthrough
 
 logger = logging.getLogger(__name__)
 
 router = APIRouter()
 
-if os.getenv("USE_AUTH", "true").lower() == "false":
-    dependencies = []
-    logger.info("Auth disabled")
-else:
-    security = OIDCHTTPBearer()
-    dependencies = [Depends(security)]
+dependencies = []
+if os.getenv("USE_AUTH", "true").lower() == "true":
     logger.info("Auth enabled")
+    security = Authorizer()
+    dependencies = [Depends(security)]
+else:
+    logger.info("Auth disabled")
 
 router.include_router(
     litellm_passthrough.router, prefix="/v2/serve", tags=["litellm_passthrough"], dependencies=dependencies
@@ -46,6 +46,17 @@ async def health_check() -> JSONResponse:
 
     This needs to match the path in the config.yaml file.
     """
-    content = {"status": "OK"}
-
-    return JSONResponse(content=content, status_code=200)
+    try:
+        # Basic health verification - check if required environment variables are set
+        required_vars = ["AWS_REGION", "LOG_LEVEL"]
+        missing_vars = [var for var in required_vars if not os.getenv(var)]
+
+        if missing_vars:
+            content = {"status": "UNHEALTHY", "missing_env_vars": missing_vars}
+            return JSONResponse(content=content, status_code=503)
+
+        content = {"status": "OK"}
+        return JSONResponse(content=content, status_code=200)
+    except Exception as e:
+        content = {"status": "UNHEALTHY", "error": str(e)}
+        return JSONResponse(content=content, status_code=503)
diff --git a/lib/serve/rest-api/src/auth.py b/lib/serve/rest-api/src/auth.py
index c83d86392..07f3bc07f 100644
--- a/lib/serve/rest-api/src/auth.py
+++ b/lib/serve/rest-api/src/auth.py
@@ -13,27 +13,28 @@
 #   limitations under the License.
 
 """Authentication for FastAPI app."""
+import asyncio
 import os
 import ssl
 import sys
+import threading
 from datetime import datetime
+from enum import Enum
 from pathlib import Path
-from time import time
 from typing import Any, Dict, Optional
 
 import boto3
 import jwt
 import requests
+from cachetools import TTLCache
+from cachetools.keys import hashkey
 from fastapi import HTTPException, Request
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 from loguru import logger
 from starlette.status import HTTP_401_UNAUTHORIZED
 
-# The following are field names, not passwords or tokens
-API_KEY_HEADER_NAMES = [
-    "Authorization",  # OpenAI Bearer token format, collides with IdP, but that's okay for this use case
-    "Api-Key",  # pragma: allowlist secret # Azure key format, can be used with Continue IDE plugin
-]
+from .utils.decorators import singleton
+
 TOKEN_EXPIRATION_NAME = "tokenExpiration"  # nosec B105
 TOKEN_TABLE_NAME = "TOKEN_TABLE_NAME"  # nosec B105
 USE_AUTH = "USE_AUTH"
@@ -51,9 +52,17 @@
 )
 
 
-def is_idp_used() -> bool:
-    """Get if the identity provider is being used based on environment variable."""
-    return os.environ.get(USE_AUTH, "false").lower() == "true"
+# The following are field names, not passwords or tokens
+class AuthHeaders(str, Enum):
+    """API key header names."""
+
+    AUTHORIZATION = "Authorization"  # OpenAI Bearer token format, collides with IdP, but that's okay for this use case
+    API_KEY = "Api-Key"  # pragma: allowlist secret # Azure key format, can be used with Continue IDE plugin
+
+    @classmethod
+    def values(cls) -> list[str]:
+        """Return list of header values."""
+        return list(cls)
 
 
 if not jwt.algorithms.has_crypto:
@@ -106,13 +115,13 @@ def id_token_is_valid(
             },
         )
         return data
-    except jwt.exceptions.PyJWTError as e:
+    except (jwt.exceptions.PyJWTError, jwt.exceptions.DecodeError) as e:
         logger.exception(e)
         return None
 
 
 def is_user_in_group(jwt_data: dict[str, Any], group: str, jwt_groups_property: str) -> bool:
-    """Check if the user is an admin."""
+    """Check if the user is in group."""
     props = jwt_groups_property.split(".")
     current_node = jwt_data
     for prop in props:
@@ -123,7 +132,7 @@ def is_user_in_group(jwt_data: dict[str, Any], group: str, jwt_groups_property:
     return group in current_node
 
 
-def get_authorization_token(headers: Dict[str, str], header_name: str) -> str:
+def get_authorization_token(headers: Dict[str, str], header_name: str = AuthHeaders.AUTHORIZATION) -> str:
     """Get Bearer token from Authorization headers if it exists."""
     if header_name in headers:
         return headers.get(header_name, "").removeprefix("Bearer").strip()
@@ -133,29 +142,37 @@ def get_authorization_token(headers: Dict[str, str], header_name: str) -> str:
 class OIDCHTTPBearer(HTTPBearer):
     """OIDC based bearer token authenticator."""
 
-    def __init__(self, **kwargs: Dict[str, Any]):
+    def __init__(self, authority: Optional[str] = None, client_id: Optional[str] = None, **kwargs: Dict[str, Any]):
         super().__init__(**kwargs)
-        self._token_authorizer = ApiTokenAuthorizer()
-        self._management_token_authorizer = ManagementTokenAuthorizer()
-
-        self._jwks_client = get_jwks_client()
+        self.authority = authority or os.environ.get("AUTHORITY", "")
+        self.client_id = client_id or os.environ.get("CLIENT_ID", "")
+        self.jwks_client = get_jwks_client()
 
-    async def __call__(self, request: Request) -> Optional[HTTPAuthorizationCredentials]:
-        """Verify the provided bearer token or API Key. API Key will take precedence over the bearer token."""
-        if self._token_authorizer.is_valid_api_token(request.headers):
-            return None  # valid API token, not continuing with OIDC auth
-        elif self._management_token_authorizer.is_valid_api_token(request.headers):
-            logger.info("looks like a valid mgmt token")
-            return None  # valid management token, not continuing with OIDC auth
+    async def id_token_is_valid(self, request: Request) -> Optional[Dict[str, Any]]:
+        """Check whether an ID token is valid and return decoded data."""
         http_auth_creds = await super().__call__(request)
-        if not id_token_is_valid(
-            id_token=http_auth_creds.credentials,
-            authority=os.environ["AUTHORITY"],
-            client_id=os.environ["CLIENT_ID"],
-            jwks_client=self._jwks_client,
-        ):
-            raise HTTPException(status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated")
-        return http_auth_creds
+        id_token = http_auth_creds.credentials
+        try:
+            signing_key = self.jwks_client.get_signing_key_from_jwt(id_token)
+            data: Dict[str, Any] = jwt.decode(
+                id_token,
+                signing_key.key,
+                algorithms=["RS256"],
+                issuer=self.authority,
+                audience=self.client_id,
+                options={
+                    "verify_signature": True,
+                    "verify_exp": True,
+                    "verify_nbf": True,
+                    "verify_iat": True,
+                    "verify_aud": True,
+                    "verify_iss": True,
+                },
+            )
+            return data
+        except (jwt.exceptions.PyJWTError, jwt.exceptions.DecodeError) as e:
+            logger.exception(e)
+            return None
 
 
 class ApiTokenAuthorizer:
@@ -175,12 +192,14 @@ def _get_token_info(self, token: str) -> Any:
         ddb_response = self._token_table.get_item(Key={"token": token}, ReturnConsumedCapacity="NONE")
         return ddb_response.get("Item", None)
 
-    def is_valid_api_token(self, headers: Dict[str, str]) -> bool:
+    async def is_valid_api_token(self, headers: Dict[str, str]) -> bool:
         """Return if API Token from request headers is valid if found."""
-        for header_name in API_KEY_HEADER_NAMES:
-            token = headers.get(header_name, "").removeprefix("Bearer").strip()
+
+        for header_name in AuthHeaders.values():
+            token = get_authorization_token(headers, header_name)
+
             if token:
-                token_info = self._get_token_info(token)
+                token_info = await asyncio.to_thread(self._get_token_info, token)
                 if token_info:
                     token_expiration = int(token_info.get(TOKEN_EXPIRATION_NAME, datetime.max.timestamp()))
                     current_time = int(datetime.now().timestamp())
@@ -193,33 +212,142 @@ class ManagementTokenAuthorizer:
     """Class for checking Management tokens against a SecretsManager secret."""
 
     def __init__(self) -> None:
-        self._secrets_manager = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"])
-        self._secret_tokens: list[str] = []
-        self._last_run = 0
-
-    def _refreshTokens(self) -> None:
-        """Refresh secret management tokens."""
-        current_time = int(time())
-        if current_time - (self._last_run or 0) > 3600:
-            secret_tokens = []
+        self._cache = TTLCache(maxsize=1, ttl=300)
+        self._cache_lock = threading.RLock()
+        self._local = threading.local()
+
+    def _get_secrets_client(self):
+        """Get thread-local secrets manager client."""
+        if not hasattr(self._local, "secrets_manager"):
+            self._local.secrets_manager = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"])
+        return self._local.secrets_manager
+
+    def get_management_tokens(self) -> list[str]:
+        """Return secret management tokens if they exist."""
+        cache_key = hashkey()
+
+        with self._cache_lock:
+            if cache_key in self._cache:
+                return self._cache[cache_key]
+
+        logger.info("Updating management tokens cache")
+        secret_tokens = []
+        secret_id = os.environ.get("MANAGEMENT_KEY_NAME")
+        secrets_manager = self._get_secrets_client()
+
+        try:
             secret_tokens.append(
-                self._secrets_manager.get_secret_value(
-                    SecretId=os.environ.get("MANAGEMENT_KEY_NAME"), VersionStage="AWSCURRENT"
-                )["SecretString"]
+                secrets_manager.get_secret_value(SecretId=secret_id, VersionStage="AWSCURRENT")["SecretString"]
             )
-            try:
-                secret_tokens.append(
-                    self._secrets_manager.get_secret_value(
-                        SecretId=os.environ.get("MANAGEMENT_KEY_NAME"), VersionStage="AWSPREVIOUS"
-                    )["SecretString"]
-                )
-            except Exception:
-                logger.info(f"No previous secret version for {os.environ.get('MANAGEMENT_KEY_NAME')}")
-            self._secret_tokens = secret_tokens
-            self._last_run = current_time
+            secret_tokens.append(
+                secrets_manager.get_secret_value(SecretId=secret_id, VersionStage="AWSPREVIOUS")["SecretString"]
+            )
+        except Exception:
+            logger.info(f"No previous secret version for {secret_id}")
 
-    def is_valid_api_token(self, headers: Dict[str, str]) -> bool:
+        with self._cache_lock:
+            self._cache[cache_key] = secret_tokens
+
+        return secret_tokens
+
+    async def is_valid_api_token(self, headers: Dict[str, str]) -> bool:
         """Return if API Token from request headers is valid if found."""
-        self._refreshTokens()
-        token = headers.get("Authorization", "").strip()
-        return token in self._secret_tokens
+        secret_tokens = await asyncio.to_thread(self.get_management_tokens)
+        token = get_authorization_token(headers)
+        return token in secret_tokens
+
+
+@singleton
+class Authorizer:
+    """Composite authenticator that tries multiple authentication methods in order."""
+
+    def __init__(self) -> None:
+        self.client_id = os.environ.get("CLIENT_ID", "")
+        self.authority = os.environ.get("AUTHORITY", "")
+        self.admin_group = os.environ.get("ADMIN_GROUP", "")
+        self.user_group = os.environ.get("USER_GROUP", "")
+        self.jwt_groups_property = os.environ.get("JWT_GROUPS_PROP", "")
+
+        self.token_authorizer = ApiTokenAuthorizer()
+        self.management_token_authorizer = ManagementTokenAuthorizer()
+        self.oidc_authorizer = OIDCHTTPBearer(authority=self.authority, client_id=self.client_id)
+
+    async def __call__(self, request: Request) -> Optional[HTTPAuthorizationCredentials]:
+        jwt_data = await self.authenticate_request(request)
+        return jwt_data
+
+    async def authenticate_request(self, request: Request) -> Optional[Dict[str, Any]]:
+        """Authenticate request and return JWT data if valid, else None. Invalid requests throw an exception"""
+
+        logger.trace(f"Authenticating request: {request.method} {request.url.path}")
+        # First try API tokens
+        logger.trace("Try API Auth Token...")
+        if await self.token_authorizer.is_valid_api_token(request.headers):
+            logger.trace("Valid API token")
+            return None
+
+        # Then try management tokens
+        logger.trace("Try Management Auth Token...")
+        if await self.management_token_authorizer.is_valid_api_token(request.headers):
+            logger.trace("Valid Management token")
+            return None
+
+        # Finally try OIDC Bearer tokens
+        logger.trace("Try OIDC Auth Token...")
+        jwt_data = await self.oidc_authorizer.id_token_is_valid(request)
+        if jwt_data:
+            logger.trace("Valid OIDC token")
+            return jwt_data
+
+        raise HTTPException(status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated")
+
+    def _log_access_attempt(
+        self, request: Request, auth_method: str, user_id: str, endpoint: str, success: bool, reason: str = ""
+    ) -> None:
+        """Centralized logging for all authentication attempts."""
+        status = "SUCCESS" if success else "FAILED"
+        log_msg = f"AUTH {status}: user={user_id} method={auth_method} endpoint={endpoint}"
+        if reason:
+            log_msg += f" reason={reason}"
+
+        if success:
+            logger.info(log_msg)
+        else:
+            logger.warning(log_msg)
+
+    async def can_access(
+        self, request: Request, require_admin: bool, jwt_data: Optional[Dict[str, Any]] = None
+    ) -> bool:
+        """Return whether the user is authorized to access the endpoint."""
+        endpoint = f"{request.method} {request.url.path}"
+
+        if jwt_data is None:
+            jwt_data = await self.authenticate_request(request)
+
+        # Valid API_TOKEN will be treated as admin
+        if not jwt_data:
+            auth_method = "API_TOKEN"
+            user_id = "api_user"
+            has_access = True
+            reason = "Valid API/Management token"
+        else:
+            auth_method = "OIDC"
+            user_id = jwt_data.get("sub", jwt_data.get("username", "unknown"))
+
+            # If user is admin, always allow access
+            if is_user_in_group(jwt_data, self.admin_group, self.jwt_groups_property):
+                has_access = True
+                reason = "Admin user"
+            # If admin is required but user is not admin, deny access
+            elif require_admin:
+                has_access = False
+                reason = "Admin required"
+            # For non-admin requests, check user group
+            else:
+                has_access = self.user_group == "" or is_user_in_group(
+                    jwt_data=jwt_data, group=self.user_group, jwt_groups_property=self.jwt_groups_property
+                )
+                reason = "Valid user group" if has_access else "Invalid user group"
+
+        self._log_access_attempt(request, auth_method, user_id, endpoint, has_access, reason)
+        return has_access
diff --git a/lib/serve/rest-api/src/entrypoint.sh b/lib/serve/rest-api/src/entrypoint.sh
index 15fe25eda..2cc753bec 100644
--- a/lib/serve/rest-api/src/entrypoint.sh
+++ b/lib/serve/rest-api/src/entrypoint.sh
@@ -5,22 +5,65 @@ set -e
 HOST="0.0.0.0"
 PORT="8080"
 
-# Prisma client is generated during build
+echo "Starting LISA REST API Service"
+echo "=================================="
+
+# Prisma client is now generated during build from LiteLLM's schema
 echo "Prisma client already generated during build"
 
 # Update LiteLLM config that was already copied from config.yaml with runtime-deployed models.
 # Depends on SSM Parameter for registered models.
-echo "Configuring and starting LiteLLM"
-# litellm_config.yaml is generated from the REST API Dockerfile from the LISA config.yaml.
-# Do not modify the litellm_config.yaml name unless you change it in the Dockerfile and in the `litellm` command below.
-python ./src/utils/generate_litellm_config.py -f litellm_config.yaml
+echo "🔧 Configuring LiteLLM..."
+echo "   - AWS Region: $AWS_REGION"
+echo "   - Models Parameter: $REGISTERED_MODELS_PS_NAME"
+echo "   - DB Info Parameter: $LITELLM_DB_INFO_PS_NAME"
+
+# Generate LiteLLM config with error handling
+if ! python ./src/utils/generate_litellm_config.py -f litellm_config.yaml; then
+    echo "❌ Failed to generate LiteLLM configuration"
+    echo "   This usually indicates issues with:"
+    echo "   - SSM parameter access permissions"
+    echo "   - Database connection parameters"
+    echo "   - Model registration data"
+    exit 1
+fi
+
+echo "✅ LiteLLM configuration generated successfully"
+
+# Verify config file exists and has content
+if [ ! -f "litellm_config.yaml" ]; then
+    echo "❌ LiteLLM config file not found after generation"
+    exit 1
+fi
+
+echo "📄 LiteLLM config file contents:"
+echo "--------------------------------"
+head -20 litellm_config.yaml
+echo "--------------------------------"
+
+# Start LiteLLM in the background with better error handling
+echo "🚀 Starting LiteLLM server..."
+echo "   - Config file: litellm_config.yaml"
+echo "   - Port: 4000 (internal)"
+echo "   - Database: Prisma with auto-push enabled"
+
+# Start LiteLLM and capture its PID
+litellm -c litellm_config.yaml --use_prisma_db_push > litellm.log 2>&1 &
+LITELLM_PID=$!
+
+echo "   - LiteLLM PID: $LITELLM_PID"
+echo "   - Log file: litellm.log"
+
+# LiteLLM is starting in the background, proceed with Gunicorn startup
 
-# Start LiteLLM in the background, default port 4000, not exposed outside of container.
-# If you need to change the port, you can specify the --port option, and then the port needs to be updated in
-# src/api/endpoints/v2/litellm_passthrough.py for the LiteLLM URI
-litellm -c litellm_config.yaml &
+# Validate THREADS variable with default value
+THREADS=${THREADS:-4}
+echo "🚀 Starting Gunicorn with $THREADS workers..."
 
-echo "Starting Gunicorn with $THREADS workers..."
+# Start Gunicorn with Uvicorn workers
+echo "   - Host: $HOST"
+echo "   - Port: $PORT"
+echo "   - Workers: $THREADS"
+echo "   - Timeout: 600 seconds"
 
-# Start Gunicorn with Uvicorn workers.
 exec gunicorn -k uvicorn.workers.UvicornWorker -t 600 -w "$THREADS" -b "$HOST:$PORT" "src.main:app"
diff --git a/lib/serve/rest-api/src/handlers/generation.py b/lib/serve/rest-api/src/handlers/generation.py
index bf35adb86..313b3781f 100644
--- a/lib/serve/rest-api/src/handlers/generation.py
+++ b/lib/serve/rest-api/src/handlers/generation.py
@@ -26,9 +26,12 @@
 async def handle_generate(request_data: Dict[str, Any]) -> Dict[str, Any]:
     """Handle for generate endpoint."""
     model, model_kwargs, text = await validate_and_prepare_llm_request(request_data, RestApiResource.GENERATE)
-    response = await model.generate(text=text, model_kwargs=model_kwargs)
-
-    return response.dict()  # type: ignore
+    try:
+        response = await model.generate(text=text, model_kwargs=model_kwargs)
+        return response.dict()  # type: ignore
+    except Exception as e:
+        logger.error(f"Model generation failed: {e}")
+        raise
 
 
 @handle_stream_exceptions
diff --git a/lib/serve/rest-api/src/handlers/models.py b/lib/serve/rest-api/src/handlers/models.py
index 7955c1f83..240dddc02 100644
--- a/lib/serve/rest-api/src/handlers/models.py
+++ b/lib/serve/rest-api/src/handlers/models.py
@@ -115,10 +115,10 @@ async def handle_describe_models(model_types: List[ModelType]) -> DefaultDict[st
     response: DefaultDict[str, DefaultDict[str, Dict[str, Any]]] = defaultdict(lambda: defaultdict(dict))
 
     for model_type, providers in registered_models.items():
-        response[model_type.value] = {}  # type: ignore
+        response[model_type] = {}  # type: ignore
         providers = providers or {}
         for provider, model_names in providers.items():
-            response[model_type.value][provider] = [
+            response[model_type][provider] = [
                 registered_models_cache["metadata"][f"{provider}.{model_name}"] for model_name in model_names
             ]  # type: ignore
 
diff --git a/lib/serve/rest-api/src/lisa_serve/__init__.py b/lib/serve/rest-api/src/lisa_serve/__init__.py
index 51c90fc4e..c25b6dd2e 100644
--- a/lib/serve/rest-api/src/lisa_serve/__init__.py
+++ b/lib/serve/rest-api/src/lisa_serve/__init__.py
@@ -30,7 +30,7 @@
         {
             "sink": sys.stdout,
             "format": "<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | "
-            "<cyan>{request_id}</cyan> | {message}",
+            "<cyan>{extra[request_id]}</cyan> | {message}",
             "level": logger_level.upper(),
         }
     ]
diff --git a/lib/serve/rest-api/src/lisa_serve/ecs/embedding/instructor.py b/lib/serve/rest-api/src/lisa_serve/ecs/embedding/instructor.py
index 849d9fc7a..b4b110808 100644
--- a/lib/serve/rest-api/src/lisa_serve/ecs/embedding/instructor.py
+++ b/lib/serve/rest-api/src/lisa_serve/ecs/embedding/instructor.py
@@ -76,18 +76,22 @@ async def embed_query(self, *, text: str, model_kwargs: Dict[str, Any]) -> Embed
             "text": text,
         }
 
-        async with ClientSession() as session:
-            async with session.post(self.endpoint_url, json=payload) as server_response:
-                server_response.raise_for_status()
-                server_response_json = await server_response.json()
-
-                response = EmbedQueryResponse(embeddings=server_response_json)
-
-                logger.debug(
-                    f"Received: {escape_curly_brackets(response.json())}",
-                    extra={"event": f"{self.__class__.__name__}:embed_query"},
-                )
-                return response
+        try:
+            async with ClientSession() as session:
+                async with session.post(self.endpoint_url, json=payload) as server_response:
+                    server_response.raise_for_status()
+                    server_response_json = await server_response.json()
+
+                    response = EmbedQueryResponse(embeddings=server_response_json)
+
+                    logger.debug(
+                        f"Received: {escape_curly_brackets(response.json())}",
+                        extra={"event": f"{self.__class__.__name__}:embed_query"},
+                    )
+                    return response
+        except Exception as e:
+            logger.error(f"Embedding request failed: {e}")
+            raise
 
 
 # Register the model
diff --git a/lib/serve/rest-api/src/lisa_serve/ecs/textgen/tgi.py b/lib/serve/rest-api/src/lisa_serve/ecs/textgen/tgi.py
index a1415be92..bcd92224e 100644
--- a/lib/serve/rest-api/src/lisa_serve/ecs/textgen/tgi.py
+++ b/lib/serve/rest-api/src/lisa_serve/ecs/textgen/tgi.py
@@ -195,10 +195,12 @@ async def openai_generate_stream(
         AsyncGenerator[GenerateStreamResponse, None]
             Text generation model response with streaming.
         """
-        request = {"prompt": text, **model_kwargs}
+        # Generate static values once before streaming
         resp_id = str(uuid.uuid4())
         fingerprint = str(uuid.uuid4())
         created = int(time.time())
+
+        request = {"prompt": text, **model_kwargs}
         if is_text_completion:
             response_class = OpenAICompletionsResponse
         else:
diff --git a/lib/serve/rest-api/src/lisa_serve/registry/index.py b/lib/serve/rest-api/src/lisa_serve/registry/index.py
index 5b0a56f8f..77e23af74 100644
--- a/lib/serve/rest-api/src/lisa_serve/registry/index.py
+++ b/lib/serve/rest-api/src/lisa_serve/registry/index.py
@@ -45,6 +45,6 @@ def get_assets(self, provider: str) -> Dict[str, Any]:
         except KeyError:
             raise KeyError(
                 f"Model provider '{provider}' not found in registry. Available providers: "
-                f"{', '.join(list(self.registry))}"
+                f"{', '.join(self.registry)}"
             )
         return model_assets  # type: ignore
diff --git a/lib/serve/rest-api/src/requirements.txt b/lib/serve/rest-api/src/requirements.txt
index 8230b4bab..fcbcaf2b0 100644
--- a/lib/serve/rest-api/src/requirements.txt
+++ b/lib/serve/rest-api/src/requirements.txt
@@ -1,17 +1,20 @@
-aioboto3>=12.0.0,<15.0.0
-aiobotocore>=2.11.0,<3.0.0
+aioboto3==13.4.0
+aiobotocore==2.18.0
 aiohttp==3.12.14
-boto3>=1.34.0,<1.37.0
+backoff==2.2.1
+boto3==1.36.0
+cachetools==5.5.0
 click==8.1.7
-cryptography>=43.0.1,<44.0.0
+cryptography==44.0.1
 fastapi==0.115.11
 fastapi_utils==0.7.0
 gunicorn==23.0.0
-litellm[proxy]==1.72.4
+litellm[proxy]==1.77.4
 loguru==0.7.2
 pydantic==2.8.2
-PyJWT==2.9.0
+PyJWT==2.10.1
 text-generation==0.7.0
 prisma==0.13.1
 pynacl==1.5.0
+starlette==0.46.2
 uvicorn==0.29.0
diff --git a/lib/serve/rest-api/src/utils/cache_manager.py b/lib/serve/rest-api/src/utils/cache_manager.py
index 44ff5d749..3c94bbace 100644
--- a/lib/serve/rest-api/src/utils/cache_manager.py
+++ b/lib/serve/rest-api/src/utils/cache_manager.py
@@ -13,6 +13,7 @@
 #   limitations under the License.
 
 """Model Cache Utilities."""
+import threading
 from typing import Any, Dict, Optional, Tuple
 
 from .resources import ModelType, RestApiResource
@@ -33,24 +34,31 @@
 }
 MODEL_ASSETS_CACHE: Dict[str, Tuple[Any, Any]] = {}
 
+# Thread locks for cache operations
+_REGISTERED_MODELS_LOCK = threading.RLock()
+_MODEL_ASSETS_LOCK = threading.RLock()
+
 
 def get_registered_models_cache() -> Dict[str, Dict[str, Any]]:
     """Get the cache containing the registered models."""
-    return REGISTERED_MODELS_CACHE
+    with _REGISTERED_MODELS_LOCK:
+        return REGISTERED_MODELS_CACHE.copy()
 
 
 def get_model_assets(model_key: str) -> Optional[Tuple[Any, Any]]:
     """Get the cache belonging to the model assets."""
-    return MODEL_ASSETS_CACHE.get(model_key, None)
+    with _MODEL_ASSETS_LOCK:
+        return MODEL_ASSETS_CACHE.get(model_key)
 
 
 def cache_model_assets(key: str, model_assets: Tuple[Any, Any]) -> None:
     """Cache the specified model assets for the specified key."""
-    global MODEL_ASSETS_CACHE
-    MODEL_ASSETS_CACHE[key] = model_assets
+    with _MODEL_ASSETS_LOCK:
+        MODEL_ASSETS_CACHE[key] = model_assets
 
 
 def set_registered_models_cache(models: Dict[str, Dict[str, Any]]) -> None:
     """Set the registered model cache to the specified models value."""
-    global REGISTERED_MODELS_CACHE
-    REGISTERED_MODELS_CACHE = models
+    with _REGISTERED_MODELS_LOCK:
+        global REGISTERED_MODELS_CACHE
+        REGISTERED_MODELS_CACHE = models
diff --git a/lib/serve/rest-api/src/utils/decorators.py b/lib/serve/rest-api/src/utils/decorators.py
new file mode 100644
index 000000000..a550aa44c
--- /dev/null
+++ b/lib/serve/rest-api/src/utils/decorators.py
@@ -0,0 +1,30 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""Utility decorators."""
+from typing import Any, Callable, cast, Dict, TypeVar
+
+T = TypeVar("T")
+
+
+def singleton(cls: type[T]) -> Callable[..., T]:
+    """Singleton decorator."""
+    instances: Dict[type, Any] = {}
+
+    def get_instance(*args: Any, **kwargs: Any) -> T:
+        if cls not in instances:
+            instances[cls] = cls(*args, **kwargs)
+        return cast(T, instances[cls])
+
+    return get_instance
diff --git a/lib/serve/rest-api/src/utils/generate_litellm_config.py b/lib/serve/rest-api/src/utils/generate_litellm_config.py
index 0aa046aff..6217cf3d6 100644
--- a/lib/serve/rest-api/src/utils/generate_litellm_config.py
+++ b/lib/serve/rest-api/src/utils/generate_litellm_config.py
@@ -23,14 +23,13 @@
 import yaml
 from rds_auth import generate_auth_token, get_lambda_role_name
 
-ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"])
-secrets_client = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"])
-
 
 @click.command()
 @click.option("-f", "--filepath", type=click.Path(exists=True, file_okay=True, dir_okay=False, writable=True))
 def generate_config(filepath: str) -> None:
     """Read LiteLLM configuration and rewrite it with LISA-deployed model information."""
+    ssm_client = boto3.client("ssm", region_name=os.environ["AWS_REGION"])
+
     with open(filepath, "r") as fp:
         config_contents = yaml.safe_load(fp)
     # Get and load registered models from ParameterStore
@@ -43,8 +42,6 @@ def generate_config(filepath: str) -> None:
             "litellm_params": {
                 "model": f"openai/{model['modelName']}",
                 "api_base": model["endpointUrl"] + "/v1",  # Local containers require the /v1 for OpenAI API routing.
-                # the following is an unused placeholder to avoid LiteLLM deployment failures
-                "api_key": "ignored",  # pragma: allowlist secret
             },
         }
         for model in registered_models
@@ -92,6 +89,7 @@ def get_database_credentials(db_params: dict[str, str]) -> Tuple:
     """Get database password from Secrets Manager or using IAM auth."""
 
     if "passwordSecretId" in db_params:
+        secrets_client = boto3.client("secretsmanager", region_name=os.environ["AWS_REGION"])
         secret_response = secrets_client.get_secret_value(SecretId=db_params["passwordSecretId"])
         secret = json.loads(secret_response["SecretString"])
         return (db_params["username"], secret["password"])
diff --git a/lib/serve/rest-api/src/utils/request_utils.py b/lib/serve/rest-api/src/utils/request_utils.py
index a611d0fa1..cc4123e61 100644
--- a/lib/serve/rest-api/src/utils/request_utils.py
+++ b/lib/serve/rest-api/src/utils/request_utils.py
@@ -78,12 +78,17 @@ async def validate_model(request_data: Dict[str, Any], resource: RestApiResource
     registered_models_cache = get_registered_models_cache()
     supported_models = registered_models_cache[resource][provider]
     if model_name not in supported_models:
+        # Sanitize inputs for logging to prevent log injection
+        safe_model_name = str(model_name).replace("\n", "").replace("\r", "")
+        safe_resource = str(resource).replace("\n", "").replace("\r", "")
+        safe_supported = str(supported_models).replace("\n", "").replace("\r", "")
+
         message = (
-            f"Provider does not support model {model_name} for endpoint "
-            f"/{resource}, expected one of: {supported_models}"
+            f"Provider does not support model {safe_model_name} for endpoint "
+            f"/{safe_resource}, expected one of: {safe_supported}"
         )
         logger.error(message, extra={"event": event, "status": "ERROR"})
-        raise Exception(message)
+        raise ValueError(message)
 
 
 async def get_model_and_validator(request_data: Dict[str, Any]) -> Tuple[Any, Any]:
@@ -113,7 +118,10 @@ async def get_model_and_validator(request_data: Dict[str, Any]) -> Tuple[Any, An
 
         # Retrieve model endpoint URL
         registered_models_cache = get_registered_models_cache()
-        endpoint_url = registered_models_cache["endpointUrls"][model_key]
+        try:
+            endpoint_url = registered_models_cache["endpointUrls"][model_key]
+        except KeyError:
+            raise KeyError(f"Model endpoint URL not found for {model_key}")
 
         # Instantiate the model
         model = adapter(model_name=model_name, endpoint_url=endpoint_url)
@@ -158,7 +166,11 @@ async def validate_and_prepare_llm_request(
 
     task_logger.debug("Finish task", status="FINISH")
 
-    return model, model_kwargs.dict(), request_data["text"]
+    text = request_data.get("text")
+    if text is None:
+        raise ValueError("Missing required field: text")
+
+    return model, model_kwargs.dict(), text
 
 
 def handle_stream_exceptions(
diff --git a/lib/serve/rest-api/src/utils/resources.py b/lib/serve/rest-api/src/utils/resources.py
index 888863922..c8929ae7a 100644
--- a/lib/serve/rest-api/src/utils/resources.py
+++ b/lib/serve/rest-api/src/utils/resources.py
@@ -170,7 +170,7 @@ class OpenAICompletionsRequest(BaseModel):
             ]
         ),
     )
-    echo: Optional[int] = Field(False, description="Whether to prepend the prompt to the generated text.")
+    echo: Optional[bool] = Field(False, description="Whether to prepend the prompt to the generated text.")
     frequency_penalty: Optional[float] = Field(None, description="Penalty to add for text repetition.")
     logit_bias: Optional[Dict[Any, Any]] = Field(
         None,
diff --git a/lib/serve/serveApplicationConstruct.ts b/lib/serve/serveApplicationConstruct.ts
index a34c3edbf..26cfa9fbf 100644
--- a/lib/serve/serveApplicationConstruct.ts
+++ b/lib/serve/serveApplicationConstruct.ts
@@ -316,9 +316,16 @@ export class LisaServeApplicationConstruct extends Construct {
         // Add parameter as container environment variable for both RestAPI and RagAPI
         restApi.containers.forEach((container) => {
             container.addEnvironment('REGISTERED_MODELS_PS_NAME', this.modelsPs.parameterName);
+            container.addEnvironment('LITELLM_DB_INFO_PS_NAME', litellmDbConnectionInfoPs.parameterName);
         });
         restApi.node.addDependency(this.modelsPs);
+        restApi.node.addDependency(litellmDbConnectionInfoPs);
+        restApi.node.addDependency(this.endpointUrl);
 
+        // Update
+        this.restApi = restApi;
+
+        // Grant permissions after restApi is fully constructed
         // Additional permissions for REST API Role
         const invocation_permissions = new Policy(scope, 'ModelInvokePerms', {
             statements: [
@@ -344,13 +351,14 @@ export class LisaServeApplicationConstruct extends Construct {
                 }),
             ]
         });
-        letIfDefined(restApi.taskRoles[ECSTasks.REST], (serveRole) => {
-            this.modelsPs.grantRead(serveRole);
-            serveRole.attachInlinePolicy(invocation_permissions);
-        });
 
-        // Update
-        this.restApi = restApi;
+        // Grant SSM parameter read access and attach invocation permissions
+        const restRole = restApi.taskRoles[ECSTasks.REST];
+        if (restRole) {
+            this.modelsPs.grantRead(restRole);
+            litellmDbConnectionInfoPs.grantRead(restRole);
+            restRole.attachInlinePolicy(invocation_permissions);
+        }
     }
 
     getIAMAuthLambda (scope: Stack, config: Config, secret: ISecret, user: string, vpc: Vpc, securityGroups: ISecurityGroup[]): IFunction {
diff --git a/lib/user-interface/react/package.json b/lib/user-interface/react/package.json
index 5963765db..5a8414a0b 100644
--- a/lib/user-interface/react/package.json
+++ b/lib/user-interface/react/package.json
@@ -1,7 +1,7 @@
 {
   "name": "lisa-web",
   "private": true,
-  "version": "5.3.0",
+  "version": "5.3.1",
   "type": "module",
   "scripts": {
     "dev": "vite",
diff --git a/lib/user-interface/react/src/components/chatbot/Chat.tsx b/lib/user-interface/react/src/components/chatbot/Chat.tsx
index 0c35973f1..523cb6d28 100644
--- a/lib/user-interface/react/src/components/chatbot/Chat.tsx
+++ b/lib/user-interface/react/src/components/chatbot/Chat.tsx
@@ -504,21 +504,26 @@ export default function Chat ({ sessionId }) {
             }));
         }
 
+        // Fetch RAG documents once if needed
+        let ragDocs = null;
+        if (useRag && !isImageGenerationMode) {
+            ragDocs = await fetchRelevantDocuments(userPrompt);
+        }
+
         // Use extracted message builder utilities
         const messageContent = await buildMessageContent({
             isImageGenerationMode,
             fileContext,
             useRag,
             userPrompt,
-            fetchRelevantDocuments,
+            ragDocs,
         });
 
         const messageMetadata = await buildMessageMetadata({
             isImageGenerationMode,
             useRag,
-            userPrompt,
             chatConfiguration,
-            fetchRelevantDocuments,
+            ragDocs,
         });
 
         messages.push(new LisaChatMessage({
diff --git a/lib/user-interface/react/src/components/chatbot/utils/messageBuilder.utils.tsx b/lib/user-interface/react/src/components/chatbot/utils/messageBuilder.utils.tsx
index a08966f15..de6b0da9a 100644
--- a/lib/user-interface/react/src/components/chatbot/utils/messageBuilder.utils.tsx
+++ b/lib/user-interface/react/src/components/chatbot/utils/messageBuilder.utils.tsx
@@ -21,7 +21,7 @@ export type MessageContentParams = {
     fileContext: string;
     useRag: boolean;
     userPrompt: string;
-    fetchRelevantDocuments?: (query: string) => Promise<any>;
+    ragDocs?: any;
 };
 
 export const buildMessageContent = async ({
@@ -29,7 +29,7 @@ export const buildMessageContent = async ({
     fileContext,
     useRag,
     userPrompt,
-    fetchRelevantDocuments,
+    ragDocs,
 }: MessageContentParams) => {
     if (isImageGenerationMode) {
         return userPrompt;
@@ -43,8 +43,7 @@ export const buildMessageContent = async ({
         ];
     }
 
-    if (useRag && fetchRelevantDocuments) {
-        const ragDocs = await fetchRelevantDocuments(userPrompt);
+    if (useRag && ragDocs) {
         return [
             { type: 'text', text: 'File context: ' + formatDocumentsAsString(ragDocs.data?.docs) },
             { type: 'text', text: userPrompt },
@@ -64,15 +63,13 @@ export const buildMessageContent = async ({
 export const buildMessageMetadata = async ({
     isImageGenerationMode,
     useRag,
-    userPrompt,
     chatConfiguration,
-    fetchRelevantDocuments,
+    ragDocs,
 }: {
     isImageGenerationMode: boolean;
     useRag: boolean;
-    userPrompt: string;
     chatConfiguration: any;
-    fetchRelevantDocuments?: (query: string) => Promise<any>;
+    ragDocs?: any;
 }) => {
     const metadata: any = {};
 
@@ -81,8 +78,7 @@ export const buildMessageMetadata = async ({
         metadata.imageGenerationSettings = chatConfiguration.sessionConfiguration.imageGenerationArgs;
     }
 
-    if (useRag && !isImageGenerationMode && fetchRelevantDocuments) {
-        const ragDocs = await fetchRelevantDocuments(userPrompt);
+    if (useRag && !isImageGenerationMode && ragDocs) {
         metadata.ragContext = formatDocumentsAsString(ragDocs.data?.docs, true);
         metadata.ragDocuments = formatDocumentTitlesAsString(ragDocs.data?.docs);
     }
diff --git a/lib/user-interface/react/src/components/configuration/ActivatedUserComponents.tsx b/lib/user-interface/react/src/components/configuration/ActivatedUserComponents.tsx
index 0f5127b34..e88a180e1 100644
--- a/lib/user-interface/react/src/components/configuration/ActivatedUserComponents.tsx
+++ b/lib/user-interface/react/src/components/configuration/ActivatedUserComponents.tsx
@@ -40,7 +40,8 @@ const advancedOptions = {
     viewMetaData: 'View chat meta-data',
     deleteSessionHistory: 'Delete Session History',
     editChatHistoryBuffer: 'Edit chat history buffer',
-    enableModelComparisonUtility: 'Enable Model Comparison Utility'
+    enableModelComparisonUtility: 'Enable Model Comparison Utility',
+    encryptSession: 'Enable Session Encryption',
 };
 
 const mcpOptions = {
diff --git a/lib/user-interface/react/src/components/model-management/ModelManagementActions.tsx b/lib/user-interface/react/src/components/model-management/ModelManagementActions.tsx
index d01841811..d287c09cf 100644
--- a/lib/user-interface/react/src/components/model-management/ModelManagementActions.tsx
+++ b/lib/user-interface/react/src/components/model-management/ModelManagementActions.tsx
@@ -20,10 +20,7 @@ import { useAppDispatch, useAppSelector } from '@/config/store';
 import { IModel, ModelStatus } from '@/shared/model/model-management.model';
 import { useNotificationService } from '@/shared/util/hooks';
 import { INotificationService } from '@/shared/notification/notification.service';
-import {
-    modelManagementApi,
-    useDeleteModelMutation, useUpdateModelMutation,
-} from '@/shared/reducers/model-management.reducer';
+import { useDeleteModelMutation, useUpdateModelMutation} from '@/shared/reducers/model-management.reducer';
 import { MutationTrigger } from '@reduxjs/toolkit/dist/query/react/buildHooks';
 import { Action, ThunkDispatch } from '@reduxjs/toolkit';
 import { setConfirmationModal } from '@/shared/reducers/modal.reducer';
@@ -38,6 +35,7 @@ export type ModelActionProps = {
     updateConfigMutation?: any;
     currentDefaultModel?: string;
     currentConfig?: any;
+    refetch?: () => void;
 };
 
 function ModelActions (props: ModelActionProps): ReactElement {
@@ -49,7 +47,7 @@ function ModelActions (props: ModelActionProps): ReactElement {
             <Button
                 onClick={() => {
                     props.setSelectedItems([]);
-                    dispatch(modelManagementApi.util.invalidateTags(['models']));
+                    props.refetch?.();
                 }}
                 ariaLabel={'Refresh models cards'}
             >
diff --git a/lib/user-interface/react/src/components/model-management/ModelManagementComponent.tsx b/lib/user-interface/react/src/components/model-management/ModelManagementComponent.tsx
index aad3b1bd4..60fa05441 100644
--- a/lib/user-interface/react/src/components/model-management/ModelManagementComponent.tsx
+++ b/lib/user-interface/react/src/components/model-management/ModelManagementComponent.tsx
@@ -119,6 +119,7 @@ export function ModelManagementComponent (): ReactElement {
                                 updateConfigMutation={updateConfigMutation}
                                 currentDefaultModel={config?.[0]?.configuration?.global?.defaultModel}
                                 currentConfig={config}
+                                refetch={refetch}
                             />
                         }
                     >
diff --git a/lib/user-interface/react/src/components/model-management/create-model/BaseModelConfig.tsx b/lib/user-interface/react/src/components/model-management/create-model/BaseModelConfig.tsx
index 6f0ffe9b2..14e11839e 100644
--- a/lib/user-interface/react/src/components/model-management/create-model/BaseModelConfig.tsx
+++ b/lib/user-interface/react/src/components/model-management/create-model/BaseModelConfig.tsx
@@ -62,7 +62,7 @@ export function BaseModelConfig (props: FormProps<IModelRequest> & BaseModelConf
                     disabled={props.isEdit}
                 />
             </FormField>
-            <FormField label='Model ID' errorText={props.formErrors?.modelId} description='The unique model IDs are displayed to users in the "Select a model" drop down. We recommend using a descriptive name like "Claude3.7" or "Nova-ImageGen"'>
+            <FormField label='Model ID' errorText={props.formErrors?.modelId} description='The unique model IDs are displayed to users in the "Select a model" drop down. We recommend using a descriptive name like "claude3.7" or "nova-imagegen"'>
                 <Input value={props.item.modelId} inputMode='text' onBlur={() => props.touchFields(['modelId'])} onChange={({ detail }) => {
                     props.setFields({ 'modelId': detail.value });
                 }} disabled={props.isEdit} placeholder='mistral-vllm'/>
diff --git a/lib/user-interface/react/src/shared/model/configuration.model.ts b/lib/user-interface/react/src/shared/model/configuration.model.ts
index c0c21660c..5074abc38 100644
--- a/lib/user-interface/react/src/shared/model/configuration.model.ts
+++ b/lib/user-interface/react/src/shared/model/configuration.model.ts
@@ -18,7 +18,7 @@ import { z } from 'zod';
 export type SystemConfiguration = {
     systemBanner: ISystemBannerConfiguration,
     enabledComponents: IEnabledComponents,
-    global: IGlobalConfiguration
+    global: IGlobalConfiguration,
 };
 
 export type IEnabledComponents = {
@@ -37,6 +37,7 @@ export type IEnabledComponents = {
     mcpConnections: boolean;
     showMcpWorkbench: boolean;
     modelLibrary: boolean;
+    encryptSession: boolean;
 };
 
 export type ISystemBannerConfiguration = {
@@ -86,7 +87,8 @@ export const enabledComponentsSchema = z.object({
     showPromptTemplateLibrary: z.boolean().default(true),
     mcpConnections: z.boolean().default(true),
     modelLibrary: z.boolean().default(true),
-    enableModelComparisonUtility: z.boolean().default(false)
+    enableModelComparisonUtility: z.boolean().default(false),
+    encryptSession: z.boolean().default(false),
 });
 
 export const globalConfigSchema = z.object({
diff --git a/lib/user-interface/react/src/shared/model/model-management.model.ts b/lib/user-interface/react/src/shared/model/model-management.model.ts
index ed33cae2b..75e721e6b 100644
--- a/lib/user-interface/react/src/shared/model/model-management.model.ts
+++ b/lib/user-interface/react/src/shared/model/model-management.model.ts
@@ -190,7 +190,7 @@ export const loadBalancerConfigSchema = z.object({
 });
 
 export const autoScalingConfigSchema = z.object({
-    blockDeviceVolumeSize: z.number().min(30).default(30),
+    blockDeviceVolumeSize: z.number().min(30).default(50),
     minCapacity: z.number().min(1).default(1),
     maxCapacity: z.number().min(1).default(1),
     desiredCapacity: z.number().optional(),
@@ -222,8 +222,8 @@ export const containerConfigSchema = z.object({
 
 export const ModelRequestSchema = z.object({
     modelId: z.string()
-        .regex(/^[a-z\d-]+$/i, {message: 'Only alphanumeric characters and hyphens allowed'})
-        .regex(/^[a-z0-9].*[a-z0-9]$/i, {message: 'Must start and end with an alphanumeric character.'})
+        .regex(/^[a-z\d-]+$/, {message: 'Only lowercase alphanumeric characters and hyphens allowed'})
+        .regex(/^[a-z0-9].*[a-z0-9]$/, {message: 'Must start and end with a lowercase alphanumeric character.'})
         .default(''),
     modelName: z.string().min(1).default(''),
     modelDescription: z.string().default(''),
diff --git a/lib/util/codeFactory.ts b/lib/util/codeFactory.ts
index 1b5726115..49aedd920 100644
--- a/lib/util/codeFactory.ts
+++ b/lib/util/codeFactory.ts
@@ -54,14 +54,14 @@ export class CodeFactory {
 
     static createDockerImageCode (image: ImageAsset | string, buildArgs?: any): DockerImageCode {
         if (typeof image === 'string') {
-            return DockerImageCode.fromImageAsset(image, { buildArgs });
+            return DockerImageCode.fromImageAsset(image, { buildArgs, exclude: ['cdk.out'] });
         }
 
         switch (image.type) {
             case EcsSourceType.EXTERNAL:
                 return image.code;
             case EcsSourceType.ASSET:
-                return DockerImageCode.fromImageAsset(image.path, { buildArgs });
+                return DockerImageCode.fromImageAsset(image.path, { buildArgs, exclude: ['cdk.out'] });
             default:
                 throw Error(`Unimplemented image type for DockerImageCode: ${image.type}`);
         }
diff --git a/lisa-sdk/lisapy/langchain.py b/lisa-sdk/lisapy/langchain.py
index 3937c6320..ee5fd1881 100644
--- a/lisa-sdk/lisapy/langchain.py
+++ b/lisa-sdk/lisapy/langchain.py
@@ -163,7 +163,7 @@ class LisaEmbeddings(BaseModel, Embeddings):
     """Provider of the LISA serve model  e.g., ecs.textgen.tgi."""
 
     model_name: str
-    """Name of LISA serve model e.g. Mixtral-8x7B-Instruct-v0.1"""
+    """Name of LISA serve model e.g. Mistral-8x7B-Instruct-v0.1"""
 
     client: LisaLlm
     """An instance of the Lisa client."""
diff --git a/lisa-sdk/lisapy/model.py b/lisa-sdk/lisapy/model.py
index f4f6884d2..2a00bd4bb 100644
--- a/lisa-sdk/lisapy/model.py
+++ b/lisa-sdk/lisapy/model.py
@@ -19,7 +19,7 @@
 
 
 class ModelMixin(BaseMixin):
-    """Mixin for repository-related operations."""
+    """Mixin for model-related operations."""
 
     def list_models(self) -> List[Dict]:
         response = self._session.get(f"{self.url}/models")
@@ -43,7 +43,93 @@ def list_instances(self) -> List[str]:
         else:
             raise parse_error(response.status_code, response)
 
+    def create_bedrock_model(self, payload: Dict) -> Dict:
+        """Create a Bedrock model configuration.
 
-# TODO: Create the following:
-# - Create Models
-# - Manage Models
+        Args:
+            payload: JSON payload for the Bedrock model
+
+        Returns:
+            Dict: Created model information
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.post(f"{self.url}/models", json=payload)
+        if response.status_code in [200, 201]:
+            return response.json()
+        else:
+            raise parse_error(response.status_code, response)
+
+    def create_self_hosted_model(self, payload: Dict) -> Dict:
+        """Create a self-hosted model configuration.
+
+        Args:
+            payload: JSON payload for the self-hosted model
+
+        Returns:
+            Dict: Created model information
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.post(f"{self.url}/models", json=payload)
+        if response.status_code in [200, 201]:
+            return response.json()
+        else:
+            raise parse_error(response.status_code, response)
+
+    def create_self_hosted_embedded_model(self, payload: Dict) -> Dict:
+        """Create a self-hosted embedding model configuration.
+
+        Args:
+            payload: JSON payload for the self-hosted embedding model
+
+        Returns:
+            Dict: Created model information
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.post(f"{self.url}/models", json=payload)
+        if response.status_code in [200, 201]:
+            return response.json()
+        else:
+            raise parse_error(response.status_code, response)
+
+    def delete_model(self, model_id: str) -> bool:
+        """Delete a model.
+
+        Args:
+            model_id: The ID of the model to delete
+
+        Returns:
+            bool: True if deletion was successful
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.delete(f"{self.url}/models/{model_id}")
+        if response.status_code in [200, 204]:
+            return True
+        else:
+            raise parse_error(response.status_code, response)
+
+    def get_model(self, model_id: str) -> Dict:
+        """Get details of a specific model.
+
+        Args:
+            model_id: The ID of the model to retrieve
+
+        Returns:
+            Dict: Model information
+
+        Raises:
+            Exception: If the request fails
+        """
+        models = self.list_models()
+        for model in models:
+            if model.get("modelId") == model_id:
+                return model
+
+        raise Exception(f"Model with ID {model_id} not found")
diff --git a/lisa-sdk/lisapy/repository.py b/lisa-sdk/lisapy/repository.py
index 50ec341b6..0adfa05f1 100644
--- a/lisa-sdk/lisapy/repository.py
+++ b/lisa-sdk/lisapy/repository.py
@@ -16,6 +16,7 @@
 
 from .common import BaseMixin
 from .errors import parse_error
+from .types import RagRepositoryConfig
 
 
 class RepositoryMixin(BaseMixin):
@@ -36,3 +37,111 @@ def list_repositories(self) -> List[Dict]:
             return json_models
         else:
             raise parse_error(response.status_code, response)
+
+    def create_repository(self, rag_config: RagRepositoryConfig) -> Dict:
+        """Create a new RAG repository.
+
+        Args:
+            rag_config: Configuration for the RAG repository
+
+        Returns:
+            Dict: Created repository information
+
+        Raises:
+            Exception: If the request fails
+        """
+        payload = {"ragConfig": rag_config}
+
+        response = self._session.post(f"{self.url}/repository", json=payload)
+        if response.status_code in [200, 201]:
+            return response.json()
+        else:
+            raise parse_error(response.status_code, response)
+
+    def create_pgvector_repository(self, payload: Dict) -> Dict:
+        """Create a PGVector repository configuration.
+
+        Args:
+            payload: JSON payload for the PGVector repository
+
+        Returns:
+            Dict: Created repository information
+        """
+        return self.create_repository(payload)
+
+    def create_opensearch_repository(
+        self,
+        repository_id: str,
+        repository_name: str = None,
+        embedding_model_id: str = None,
+        opensearch_config: Dict = None,
+        allowed_groups: List[str] = None,
+    ) -> Dict:
+        """Create an OpenSearch repository configuration.
+
+        Args:
+            repository_id: Unique identifier for the repository
+            repository_name: User-friendly name for the repository
+            embedding_model_id: Default embedding model ID
+            opensearch_config: OpenSearch configuration (optional - will create new cluster if not provided)
+            allowed_groups: List of groups allowed access
+
+        Returns:
+            Dict: Created repository information
+        """
+        rag_config = {
+            "repositoryId": repository_id,
+            "repositoryName": repository_name or repository_id,
+            "type": "opensearch",
+            "embeddingModelId": embedding_model_id,
+            "allowedGroups": allowed_groups or [],
+        }
+
+        if opensearch_config:
+            rag_config["opensearchConfig"] = opensearch_config
+        else:
+            # Create new OpenSearch cluster config
+            rag_config["opensearchConfig"] = {
+                "dataNodes": 2,
+                "dataNodeInstanceType": "r7g.large.search",
+                "masterNodes": 0,
+                "masterNodeInstanceType": "r7g.large.search",
+                "volumeSize": 20,
+                "volumeType": "gp3",
+                "multiAzWithStandby": False,
+            }
+
+        return self.create_repository(rag_config)
+
+    def delete_repository(self, repository_id: str) -> bool:
+        """Delete a repository.
+
+        Args:
+            repository_id: The ID of the repository to delete
+
+        Returns:
+            bool: True if deletion was successful
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.delete(f"{self.url}/repository/{repository_id}")
+        if response.status_code in [200, 204]:
+            return True
+        else:
+            raise parse_error(response.status_code, response)
+
+    def get_repository_status(self) -> Dict:
+        """Get the status of RAG repositories.
+
+        Returns:
+            Dict: Repository status information
+
+        Raises:
+            Exception: If the request fails
+        """
+        response = self._session.get(f"{self.url}/repository/status")
+        if response.status_code == 200:
+            return response.json()
+        else:
+            raise parse_error(response.status_code, response)
diff --git a/lisa-sdk/lisapy/types.py b/lisa-sdk/lisapy/types.py
index 6b04109d1..714c89cc6 100644
--- a/lisa-sdk/lisapy/types.py
+++ b/lisa-sdk/lisapy/types.py
@@ -16,7 +16,7 @@
 from __future__ import annotations
 
 from enum import Enum
-from typing import Optional
+from typing import Any, Dict, List, Optional, TypedDict
 
 from pydantic import BaseModel, ConfigDict, Field
 
@@ -75,3 +75,52 @@ class StreamingResponse(BaseModel):
     token: str = Field(..., description="Generated token")
     finish_reason: Optional[str] = Field(None, description="Generation finish reason when stream is complete.")
     generated_tokens: Optional[int] = Field(None, description="Number of generated tokens when stream is complete.")
+
+
+class ModelRequest(TypedDict, total=False):
+    """Type definition for model creation requests."""
+
+    modelId: str
+    modelName: str
+    modelDescription: str
+    modelUrl: str
+    streaming: bool
+    multiModal: bool
+    modelType: str
+    instanceType: str
+    inferenceContainer: str
+    baseImage: str
+    features: List[Dict[str, str]]
+    allowedGroups: List[str]
+    containerConfig: Dict[str, Any]
+    autoScalingConfig: Dict[str, Any]
+    loadBalancerConfig: Dict[str, Any]
+
+
+class BedrockModelRequest(TypedDict, total=False):
+    """Type definition for Bedrock model creation requests."""
+
+    modelId: str
+    modelName: str
+    modelDescription: str
+    modelUrl: str
+    streaming: bool
+    multiModal: bool
+    modelType: str
+    features: List[Dict[str, str]]
+    allowedGroups: List[str]
+    apiKey: str
+
+
+class RagRepositoryConfig(TypedDict, total=False):
+    """Type definition for RAG repository configuration."""
+
+    repositoryId: str
+    repositoryName: str
+    embeddingModelId: str
+    type: str
+    opensearchConfig: Dict[str, Any]
+    rdsConfig: Dict[str, Any]
+    bedrockKnowledgeBaseConfig: Dict[str, Any]
+    pipelines: List[Dict[str, Any]]
+    allowedGroups: List[str]
diff --git a/lisa-sdk/poetry.lock b/lisa-sdk/poetry.lock
index e371d7a86..095f46120 100644
--- a/lisa-sdk/poetry.lock
+++ b/lisa-sdk/poetry.lock
@@ -1,4 +1,140 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.12.15"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohttp-3.12.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b6fc902bff74d9b1879ad55f5404153e2b33a82e72a95c89cec5eb6cc9e92fbc"},
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+
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+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d8c56bb4e6c795fc77d74d8e8b80846e1fb8292fc0b5060cd8131d522974b751"},
+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:53f94448fe5b10ee75d246497168e5825135d54325458c4bfffbaafabcc0a577"},
+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:c2ba942c94e0691467ab901fc51b6f2085ff48f2eea77b1a48240f011e8247c7"},
+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:07b527a69c1e1c8b5ab1ab14e2afe0675614a09182213f21a0717b62027b5936"},
+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:51526324f1b23229001eb3735bc8c94f9c578b1bd9e867a0a646a3b17109f388"},
+    {file = "zstandard-0.25.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89c4b48479a43f820b749df49cd7ba2dbc2b1b78560ecb5ab52985574fd40b27"},
+    {file = "zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649"},
+    {file = "zstandard-0.25.0-cp39-cp39-win_amd64.whl", hash = "sha256:37daddd452c0ffb65da00620afb8e17abd4adaae6ce6310702841760c2c26860"},
+    {file = "zstandard-0.25.0.tar.gz", hash = "sha256:7713e1179d162cf5c7906da876ec2ccb9c3a9dcbdffef0cc7f70c3667a205f0b"},
+]
+
+[package.extras]
+cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
+
 [metadata]
-lock-version = "2.0"
-python-versions = "^3.10"
-content-hash = "fcacee6a9db4f26a1ab0ae74ba7904897af03d5e94b83ca5eb473739e3545138"
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "8cb2e501ef121e90b7f1c231862d87e674e5d4a4526be853aeb7deabf476953a"
diff --git a/lisa-sdk/pyproject.toml b/lisa-sdk/pyproject.toml
index 1240fdeb4..5b3c6ac42 100644
--- a/lisa-sdk/pyproject.toml
+++ b/lisa-sdk/pyproject.toml
@@ -1,9 +1,20 @@
 [project]
+name = "lisapy"
+version = "5.3.1"
+description = "A simple SDK to help you interact with LISA. LISA is an LLM hosting solution for AWS dedicated clouds or ADCs."
+readme = "README.md"
 requires-python = ">=3.11"
+dependencies = [
+    "pydantic>=2.0.0",
+    "langchain",
+    "langchain-core",
+    "langchain-community",
+    "langchain-openai",
+]
 
 [tool.poetry]
 name = "lisapy"
-version = "5.3.0"
+version = "5.3.1"
 description = "A simple SDK to help you interact with LISA. LISA is an LLM hosting solution for AWS dedicated clouds or ADCs."
 authors = ["Steve Goley <sgoley@amazon.com>"]
 readme = "README.md"
@@ -11,9 +22,12 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = "^3.11"
 pydantic = "^2.0.0"
-langchain = "*"
-langchain-community = "*"
-langchain-openai = "*"
+langchain = "0.3.27"
+langchain-core = "0.3.76"
+langchain-community = "0.3.27"
+langchain-openai = "0.3.33"
+langchain-text-splitters = "0.3.11"
+numpy = "<2.0.0"
 
 [tool.poetry.group.dev.dependencies]
 boto3 = "*"
@@ -24,7 +38,7 @@ pytest = "^8.3.2"
 pytest-asyncio = "*"
 
 [build-system]
-requires = ["poetry-core<2.0.0"]
+requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.pytest.ini_options]
diff --git a/lisa-sdk/tests/test_langchain_management_key.py b/lisa-sdk/tests/test_langchain_management_key.py
new file mode 100644
index 000000000..6bb3d25cf
--- /dev/null
+++ b/lisa-sdk/tests/test_langchain_management_key.py
@@ -0,0 +1,57 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+import os
+import unittest
+from unittest.mock import Mock, patch
+
+from lisapy.langchain import LisaOpenAIEmbeddings
+
+
+class TestLisaOpenAIEmbeddingsManagementKey(unittest.TestCase):
+    @patch.dict(os.environ, {"AWS_REGION": "us-west-2", "MANAGEMENT_KEY_SECRET_NAME_PS": "/test/secret"})
+    @patch("boto3.client")
+    def test_from_management_key(self, mock_boto3_client: Mock) -> None:
+        # Mock SSM and Secrets Manager clients
+        mock_ssm = Mock()
+        mock_secrets = Mock()
+
+        mock_boto3_client.side_effect = lambda service, **kwargs: {"ssm": mock_ssm, "secretsmanager": mock_secrets}[
+            service
+        ]
+
+        # Mock SSM parameter response
+        mock_ssm.get_parameter.return_value = {"Parameter": {"Value": "test-secret-name"}}
+
+        # Mock Secrets Manager response
+        mock_secrets.get_secret_value.return_value = {"SecretString": "test-management-token"}
+
+        # Test the method
+        embeddings = LisaOpenAIEmbeddings.from_management_key(
+            lisa_openai_api_base="https://api.test.com", model="test-model", verify=True
+        )
+
+        # Verify the result
+        self.assertEqual(embeddings.lisa_openai_api_base, "https://api.test.com")
+        self.assertEqual(embeddings.model, "test-model")
+        self.assertEqual(embeddings.api_token, "test-management-token")
+        self.assertEqual(embeddings.verify, True)
+
+        # Verify AWS calls
+        mock_ssm.get_parameter.assert_called_once_with(Name="/test/secret")
+        mock_secrets.get_secret_value.assert_called_once_with(SecretId="test-secret-name")
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/package-lock.json b/package-lock.json
index b6b86b694..aaaeacdaf 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -16,7 +16,7 @@
         "cypress"
       ],
       "dependencies": {
-        "aws-cdk-lib": "^2.189.1",
+        "aws-cdk-lib": "^2.214.0",
         "aws-sdk": "^2.1692.0",
         "cdk-ecr-deployment": "^4.0.1",
         "cdk-nag": "^2.35.5",
@@ -177,7 +177,6 @@
       "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.11.0.tgz",
       "integrity": "sha512-YTJCGFdNMHCMfjODYtxRNVAYmTWQ1Lb8PulP/2/f/oEEtglw8oKxKIZmmRkyXrVrHfsKOaVkAc3NT9/dMutO5w==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "@rolldown/pluginutils": "1.0.0-beta.27",
         "@swc/core": "^1.12.11"
@@ -192,7 +191,6 @@
       "integrity": "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==",
       "dev": true,
       "hasInstallScript": true,
-      "license": "MIT",
       "optional": true,
       "os": [
         "darwin"
@@ -206,7 +204,6 @@
       "resolved": "https://registry.npmjs.org/vite/-/vite-6.3.6.tgz",
       "integrity": "sha512-0msEVHJEScQbhkbVTb/4iHZdJ6SXp/AvxL2sjwYQFfBqleHtnCqv1J3sa9zbWz/6kW1m9Tfzn92vW+kZ1WV6QA==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "esbuild": "^0.25.0",
         "fdir": "^6.4.4",
@@ -281,7 +278,6 @@
       "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.1.tgz",
       "integrity": "sha512-lcYcMxX2PO9XMGvAJkJ3OsNMw+/7FKes7/hgerGUYWIoWu5j/+YQqcZr5JnPZWzOsEBgMbSbiSTn/dv/69Mkpw==",
       "dev": true,
-      "license": "ISC",
       "optional": true,
       "peer": true,
       "bin": {
@@ -295,7 +291,6 @@
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/@algolia/abtesting/-/abtesting-1.3.0.tgz",
       "integrity": "sha512-KqPVLdVNfoJzX5BKNGM9bsW8saHeyax8kmPFXul5gejrSPN3qss7PgsFH5mMem7oR8tvjvNkia97ljEYPYCN8Q==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -310,7 +305,6 @@
       "version": "1.17.7",
       "resolved": "https://registry.npmjs.org/@algolia/autocomplete-core/-/autocomplete-core-1.17.7.tgz",
       "integrity": "sha512-BjiPOW6ks90UKl7TwMv7oNQMnzU+t/wk9mgIDi6b1tXpUek7MW0lbNOUHpvam9pe3lVCf4xPFT+lK7s+e+fs7Q==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/autocomplete-plugin-algolia-insights": "1.17.7",
         "@algolia/autocomplete-shared": "1.17.7"
@@ -320,7 +314,6 @@
       "version": "1.17.7",
       "resolved": "https://registry.npmjs.org/@algolia/autocomplete-plugin-algolia-insights/-/autocomplete-plugin-algolia-insights-1.17.7.tgz",
       "integrity": "sha512-Jca5Ude6yUOuyzjnz57og7Et3aXjbwCSDf/8onLHSQgw1qW3ALl9mrMWaXb5FmPVkV3EtkD2F/+NkT6VHyPu9A==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/autocomplete-shared": "1.17.7"
       },
@@ -332,7 +325,6 @@
       "version": "1.17.7",
       "resolved": "https://registry.npmjs.org/@algolia/autocomplete-preset-algolia/-/autocomplete-preset-algolia-1.17.7.tgz",
       "integrity": "sha512-ggOQ950+nwbWROq2MOCIL71RE0DdQZsceqrg32UqnhDz8FlO9rL8ONHNsI2R1MH0tkgVIDKI/D0sMiUchsFdWA==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/autocomplete-shared": "1.17.7"
       },
@@ -345,7 +337,6 @@
       "version": "1.17.7",
       "resolved": "https://registry.npmjs.org/@algolia/autocomplete-shared/-/autocomplete-shared-1.17.7.tgz",
       "integrity": "sha512-o/1Vurr42U/qskRSuhBH+VKxMvkkUVTLU6WZQr+L5lGZZLYWyhdzWjW0iGXY7EkwRTjBqvN2EsR81yCTGV/kmg==",
-      "license": "MIT",
       "peerDependencies": {
         "@algolia/client-search": ">= 4.9.1 < 6",
         "algoliasearch": ">= 4.9.1 < 6"
@@ -355,7 +346,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-abtesting/-/client-abtesting-5.37.0.tgz",
       "integrity": "sha512-Dp2Zq+x9qQFnuiQhVe91EeaaPxWBhzwQ6QnznZQnH9C1/ei3dvtmAFfFeaTxM6FzfJXDLvVnaQagTYFTQz3R5g==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -370,7 +360,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-analytics/-/client-analytics-5.37.0.tgz",
       "integrity": "sha512-wyXODDOluKogTuZxRII6mtqhAq4+qUR3zIUJEKTiHLe8HMZFxfUEI4NO2qSu04noXZHbv/sRVdQQqzKh12SZuQ==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -385,7 +374,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-common/-/client-common-5.37.0.tgz",
       "integrity": "sha512-GylIFlPvLy9OMgFG8JkonIagv3zF+Dx3H401Uo2KpmfMVBBJiGfAb9oYfXtplpRMZnZPxF5FnkWaI/NpVJMC+g==",
-      "license": "MIT",
       "engines": {
         "node": ">= 14.0.0"
       }
@@ -394,7 +382,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-insights/-/client-insights-5.37.0.tgz",
       "integrity": "sha512-T63afO2O69XHKw2+F7mfRoIbmXWGzgpZxgOFAdP3fR4laid7pWBt20P4eJ+Zn23wXS5kC9P2K7Bo3+rVjqnYiw==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -409,7 +396,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-personalization/-/client-personalization-5.37.0.tgz",
       "integrity": "sha512-1zOIXM98O9zD8bYDCJiUJRC/qNUydGHK/zRK+WbLXrW1SqLFRXECsKZa5KoG166+o5q5upk96qguOtE8FTXDWQ==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -424,7 +410,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-query-suggestions/-/client-query-suggestions-5.37.0.tgz",
       "integrity": "sha512-31Nr2xOLBCYVal+OMZn1rp1H4lPs1914Tfr3a34wU/nsWJ+TB3vWjfkUUuuYhWoWBEArwuRzt3YNLn0F/KRVkg==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -439,7 +424,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/client-search/-/client-search-5.37.0.tgz",
       "integrity": "sha512-DAFVUvEg+u7jUs6BZiVz9zdaUebYULPiQ4LM2R4n8Nujzyj7BZzGr2DCd85ip4p/cx7nAZWKM8pLcGtkTRTdsg==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -454,7 +438,6 @@
       "version": "1.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/ingestion/-/ingestion-1.37.0.tgz",
       "integrity": "sha512-pkCepBRRdcdd7dTLbFddnu886NyyxmhgqiRcHHaDunvX03Ij4WzvouWrQq7B7iYBjkMQrLS8wQqSP0REfA4W8g==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -469,7 +452,6 @@
       "version": "1.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/monitoring/-/monitoring-1.37.0.tgz",
       "integrity": "sha512-fNw7pVdyZAAQQCJf1cc/ih4fwrRdQSgKwgor4gchsI/Q/ss9inmC6bl/69jvoRSzgZS9BX4elwHKdo0EfTli3w==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -484,7 +466,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/recommend/-/recommend-5.37.0.tgz",
       "integrity": "sha512-U+FL5gzN2ldx3TYfQO5OAta2TBuIdabEdFwD5UVfWPsZE5nvOKkc/6BBqP54Z/adW/34c5ZrvvZhlhNTZujJXQ==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0",
         "@algolia/requester-browser-xhr": "5.37.0",
@@ -499,7 +480,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/requester-browser-xhr/-/requester-browser-xhr-5.37.0.tgz",
       "integrity": "sha512-Ao8GZo8WgWFABrU7iq+JAftXV0t+UcOtCDL4mzHHZ+rQeTTf1TZssr4d0vIuoqkVNnKt9iyZ7T4lQff4ydcTrw==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0"
       },
@@ -511,7 +491,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/requester-fetch/-/requester-fetch-5.37.0.tgz",
       "integrity": "sha512-H7OJOXrFg5dLcGJ22uxx8eiFId0aB9b0UBhoOi4SMSuDBe6vjJJ/LeZyY25zPaSvkXNBN3vAM+ad6M0h6ha3AA==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0"
       },
@@ -523,7 +502,6 @@
       "version": "5.37.0",
       "resolved": "https://registry.npmjs.org/@algolia/requester-node-http/-/requester-node-http-5.37.0.tgz",
       "integrity": "sha512-npZ9aeag4SGTx677eqPL3rkSPlQrnzx/8wNrl1P7GpWq9w/eTmRbOq+wKrJ2r78idlY0MMgmY/mld2tq6dc44g==",
-      "license": "MIT",
       "dependencies": {
         "@algolia/client-common": "5.37.0"
       },
@@ -535,7 +513,6 @@
       "version": "5.2.0",
       "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
       "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
-      "license": "MIT",
       "engines": {
         "node": ">=10"
       },
@@ -547,7 +524,6 @@
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-1.1.0.tgz",
       "integrity": "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ==",
-      "license": "MIT",
       "dependencies": {
         "package-manager-detector": "^1.3.0",
         "tinyexec": "^1.0.1"
@@ -560,7 +536,6 @@
       "version": "9.2.0",
       "resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-9.2.0.tgz",
       "integrity": "sha512-Oq1d9BGZakE/FyoEtcNeSwM7MpDO2vUBi11RWBZXf75zPsbUVWmUs03EqkRFrcgbXyKTas0BdZWC1wcuSoqSAw==",
-      "license": "MIT",
       "funding": {
         "url": "https://github.com/sponsors/antfu"
       }
@@ -568,21 +543,18 @@
     "node_modules/@aws-cdk/asset-awscli-v1": {
       "version": "2.2.242",
       "resolved": "https://registry.npmjs.org/@aws-cdk/asset-awscli-v1/-/asset-awscli-v1-2.2.242.tgz",
-      "integrity": "sha512-4c1bAy2ISzcdKXYS1k4HYZsNrgiwbiDzj36ybwFVxEWZXVAP0dimQTCaB9fxu7sWzEjw3d+eaw6Fon+QTfTIpQ==",
-      "license": "Apache-2.0"
+      "integrity": "sha512-4c1bAy2ISzcdKXYS1k4HYZsNrgiwbiDzj36ybwFVxEWZXVAP0dimQTCaB9fxu7sWzEjw3d+eaw6Fon+QTfTIpQ=="
     },
     "node_modules/@aws-cdk/asset-node-proxy-agent-v6": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.1.0.tgz",
-      "integrity": "sha512-7bY3J8GCVxLupn/kNmpPc5VJz8grx+4RKfnnJiO1LG+uxkZfANZG3RMHhE+qQxxwkyQ9/MfPtTpf748UhR425A==",
-      "license": "Apache-2.0"
+      "integrity": "sha512-7bY3J8GCVxLupn/kNmpPc5VJz8grx+4RKfnnJiO1LG+uxkZfANZG3RMHhE+qQxxwkyQ9/MfPtTpf748UhR425A=="
     },
     "node_modules/@aws-cdk/aws-lambda-python-alpha": {
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@@ -21728,15 +20201,13 @@
     "node_modules/wrappy": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
-      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
-      "license": "ISC"
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="
     },
     "node_modules/write-file-atomic": {
       "version": "4.0.2",
       "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-4.0.2.tgz",
       "integrity": "sha512-7KxauUdBmSdWnmpaGFg+ppNjKF8uNLry8LyzjauQDOVONfFLNKrKvQOxZ/VuTIcS/gge/YNahf5RIIQWTSarlg==",
       "dev": true,
-      "license": "ISC",
       "dependencies": {
         "imurmurhash": "^0.1.4",
         "signal-exit": "^3.0.7"
@@ -21749,7 +20220,6 @@
       "version": "0.6.2",
       "resolved": "https://registry.npmjs.org/xml2js/-/xml2js-0.6.2.tgz",
       "integrity": "sha512-T4rieHaC1EXcES0Kxxj4JWgaUQHDk+qwHcYOCFHfiwKz7tOVPLq7Hjq9dM1WCMhylqMEfP7hMcOIChvotiZegA==",
-      "license": "MIT",
       "dependencies": {
         "sax": ">=0.6.0",
         "xmlbuilder": "~11.0.0"
@@ -21762,7 +20232,6 @@
       "version": "11.0.1",
       "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-11.0.1.tgz",
       "integrity": "sha512-fDlsI/kFEx7gLvbecc0/ohLG50fugQp8ryHzMTuW9vSa1GJ0XYWKnhsUx7oie3G98+r56aTQIUB4kht42R3JvA==",
-      "license": "MIT",
       "engines": {
         "node": ">=4.0"
       }
@@ -21771,7 +20240,6 @@
       "version": "4.0.2",
       "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
       "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
-      "license": "MIT",
       "engines": {
         "node": ">=0.4"
       }
@@ -21781,7 +20249,6 @@
       "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
       "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
       "dev": true,
-      "license": "ISC",
       "engines": {
         "node": ">=10"
       }
@@ -21790,13 +20257,13 @@
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
       "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
-      "dev": true,
-      "license": "ISC"
+      "dev": true
     },
     "node_modules/yaml": {
       "version": "1.10.2",
       "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz",
       "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
+      "dev": true,
       "license": "ISC",
       "engines": {
         "node": ">= 6"
@@ -21807,7 +20274,6 @@
       "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz",
       "integrity": "sha512-D1mvvtDG0L5ft/jGWkLpG1+m0eQxOfaBvTNELraWj22wSVUMWxZUvYgJYcKh6jGGIkJFhH4IZPQhR4TKpc8mBw==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "cliui": "^7.0.2",
         "escalade": "^3.1.1",
@@ -21826,7 +20292,6 @@
       "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
       "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
       "dev": true,
-      "license": "ISC",
       "engines": {
         "node": ">=12"
       }
@@ -21835,15 +20300,13 @@
       "version": "8.0.0",
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
       "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
-      "dev": true,
-      "license": "MIT"
+      "dev": true
     },
     "node_modules/yargs/node_modules/is-fullwidth-code-point": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz",
       "integrity": "sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==",
       "dev": true,
-      "license": "MIT",
       "engines": {
         "node": ">=8"
       }
@@ -21853,7 +20316,6 @@
       "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
       "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "emoji-regex": "^8.0.0",
         "is-fullwidth-code-point": "^3.0.0",
@@ -21868,7 +20330,6 @@
       "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz",
       "integrity": "sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w==",
       "dev": true,
-      "license": "ISC",
       "engines": {
         "node": ">=10"
       }
@@ -21878,7 +20339,6 @@
       "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz",
       "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "buffer-crc32": "~0.2.3",
         "fd-slicer": "~1.1.0"
@@ -21889,7 +20349,6 @@
       "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
       "integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==",
       "devOptional": true,
-      "license": "MIT",
       "engines": {
         "node": ">=6"
       }
@@ -21899,7 +20358,6 @@
       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
       "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
       "dev": true,
-      "license": "MIT",
       "engines": {
         "node": ">=10"
       },
@@ -21911,7 +20369,6 @@
       "version": "3.25.76",
       "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",
       "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==",
-      "license": "MIT",
       "funding": {
         "url": "https://github.com/sponsors/colinhacks"
       }
@@ -21920,7 +20377,6 @@
       "version": "3.24.6",
       "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.24.6.tgz",
       "integrity": "sha512-h/z3PKvcTcTetyjl1fkj79MHNEjm+HpD6NXheWjzOekY7kV+lwDYnHw+ivHkijnCSMz1yJaWBD9vu/Fcmk+vEg==",
-      "license": "ISC",
       "peerDependencies": {
         "zod": "^3.24.1"
       }
@@ -21930,7 +20386,6 @@
       "resolved": "https://registry.npmjs.org/zod2md/-/zod2md-0.1.9.tgz",
       "integrity": "sha512-HkdAQkWAGRbybDtcHrHdchuUzLjaNMWL9Rbwwde2G7CKkn12oa/J/Fk4sHUQd21U0EiMco2bfWWJpAibegI2Lg==",
       "dev": true,
-      "license": "MIT",
       "dependencies": {
         "@commander-js/extra-typings": "^12.0.0",
         "bundle-require": "^5.1.0",
@@ -21949,7 +20404,6 @@
       "resolved": "https://registry.npmjs.org/@commander-js/extra-typings/-/extra-typings-12.1.0.tgz",
       "integrity": "sha512-wf/lwQvWAA0goIghcb91dQYpkLBcyhOhQNqG/VgWhnKzgt+UOMvra7EX/2fv70arm5RW+PUHoQHHDa6/p77Eqg==",
       "dev": true,
-      "license": "MIT",
       "peerDependencies": {
         "commander": "~12.1.0"
       }
@@ -21959,7 +20413,6 @@
       "resolved": "https://registry.npmjs.org/commander/-/commander-12.1.0.tgz",
       "integrity": "sha512-Vw8qHK3bZM9y/P10u3Vib8o/DdkvA2OtPtZvD871QKjy74Wj1WSKFILMPRPSdUSx5RFK1arlJzEtA4PkFgnbuA==",
       "dev": true,
-      "license": "MIT",
       "engines": {
         "node": ">=18"
       }
@@ -21968,7 +20421,6 @@
       "version": "2.0.4",
       "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
       "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
-      "license": "MIT",
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/wooorm"
diff --git a/package.json b/package.json
index 99dcedbfe..621d2c84d 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@awslabs/lisa",
-  "version": "5.3.0",
+  "version": "5.3.1",
   "description": "A scalable infrastructure-as-code solution for self-hosting and orchestrating LLM inference with RAG capabilities, providing low-latency access to generative AI and embedding models across multiple providers.",
   "homepage": "https://awslabs.github.io/LISA/",
   "license": "Apache-2.0",
@@ -33,10 +33,11 @@
     "cypress"
   ],
   "scripts": {
-    "build": "tsc && npm run build -ws",
+    "build": "tsc && npm run build -ws && if [ \"$BUILD_ASSETS\" = \"true\" ]; then npm run build:assets; fi",
+    "build:assets": "./bin/build-assets",
     "deploy": "tsx ./bin/lisa.ts",
     "copy-dist": "cp VERSION ./dist/",
-    "clean": "npm run clean -ws && rm -rf dist node_modules cdk.out build",
+    "clean": "npm run clean -ws && rm -rf dist node_modules cdk.out build lib/rag/layer/TIKTOKEN_CACHE lib/serve/rest-api/TIKTOKEN_CACHE",
     "watch": "tsc -w",
     "test": "jest",
     "cdk": "cdk",
@@ -78,7 +79,7 @@
     "zod2md": "^0.1.9"
   },
   "dependencies": {
-    "aws-cdk-lib": "^2.189.1",
+    "aws-cdk-lib": "^2.214.0",
     "aws-sdk": "^2.1692.0",
     "cdk-ecr-deployment": "^4.0.1",
     "cdk-nag": "^2.35.5",
diff --git a/requirements-dev.txt b/requirements-dev.txt
index 4533e6e59..cef2d1cd5 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,3 +1,4 @@
+pyarrow==17.0.0
 datasets==2.20.0
 fastapi==0.111.1
 fastapi_utils==0.7.0
@@ -13,20 +14,25 @@ boto3==1.35.95
 tiktoken==0.9.0
 python-docx==1.1.2
 pypdf==6.0.0
-langchain-community==0.3.9
-langchain-openai==0.2.11
-langchain==0.3.9
+langchain-community==0.3.27
+langchain-core==0.3.76
+langchain-openai==0.3.33
+langchain-text-splitters==0.3.11
+cachetools==5.5.0
+--only-binary=pyarrow,lxml,psycopg2-binary
+pyarrow==17.0.0
 
 # Testing
 pytest==8.3.2
 pytest-cov==4.1.0
 moto[all]==5.0.3
 coverage==7.4.4
-lxml==5.1.0
+lxml==5.3.0
 opensearch-py==2.8.0
 requests_aws4auth==1.3.1
-PyJWT==2.8.0
+PyJWT==2.10.1
 psycopg2-binary==2.9.10
+cachetools==5.5.0
 
 # Development
 black==24.3.0
diff --git a/test/cdk/stacks/nag.test.ts b/test/cdk/stacks/nag.test.ts
deleted file mode 100644
index 66560a19b..000000000
--- a/test/cdk/stacks/nag.test.ts
+++ /dev/null
@@ -1,86 +0,0 @@
-/**
- Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
-
- Licensed under the Apache License, Version 2.0 (the "License").
- You may not use this file except in compliance with the License.
- You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
- */
-import { Aspects, Stack } from 'aws-cdk-lib';
-import { Annotations, Match } from 'aws-cdk-lib/assertions';
-import { AwsSolutionsChecks, NIST80053R5Checks } from 'cdk-nag';
-
-import MockApp from '../mocks/MockApp';
-
-type NagResult = {
-    [key: string]: [number, number, number, number]
-};
-
-enum NagType {
-    AWSNAGWARN,
-    AWSNAGERROR,
-    NISTWARN,
-    NISTERROR
-}
-
-const nagResults: NagResult = {
-    LisaApiBase: [1,26,0,25],
-    LisaApiDeployment: [0,0,0,0],
-    LisaChat: [4,61,0,69],
-    LisaCore: [0,1,0,6],
-    LisaDocs: [1,21,0,12],
-    LisaIAM: [0,14,0,0],
-    LisaModels: [1,76,0,64],
-    LisaNetworking: [1,2,3,5],
-    LisaRAG: [3,51,0,50],
-    LisaServe: [1,35,0,37],
-    LisaUI: [0,14,0,7],
-    LisaMetrics: [1,11,0,12]
-};
-
-describe('Nag Pack Tests', () => {
-    const stacks: Stack[] = MockApp.getStacks();
-
-    beforeAll(() => {
-        stacks.forEach((stack) => {
-            Aspects.of(stack).add(new AwsSolutionsChecks({ verbose: true }));
-            Aspects.of(stack).add(new NIST80053R5Checks({ verbose: true }));
-        });
-    });
-
-    describe('AwsSolutions CDK NAG Warnings', () => {
-        test.each(stacks)('AwsSolutions CDK NAG Warnings for $_stackName', (stack) => {
-            const warnings = Annotations.fromStack(stack).findWarning('*', Match.stringLikeRegexp('AwsSolutions-.*'));
-            expect(warnings.length).toBe(nagResults[stack.stackName][NagType.AWSNAGWARN] || 0);
-        });
-    });
-
-    describe('AwsSolutions CDK NAG Errors', () => {
-        test.each(stacks)('AwsSolutions CDK NAG Errors for $_stackName', (stack) => {
-            const errors = Annotations.fromStack(stack).findError('*', Match.stringLikeRegexp('AwsSolutions-.*'));
-            console.log(stack.stackName);
-            expect(errors.length).toBe(nagResults[stack.stackName][NagType.AWSNAGERROR] || 0);
-        });
-    });
-
-    describe('NIST800.53r5 CDK NAG Warnings', () => {
-        test.each(stacks)('NIST800.53r5 CDK NAG Warnings for $_stackName', (stack) => {
-            const warnings = Annotations.fromStack(stack).findWarning('*', Match.stringLikeRegexp('NIST.*'));
-            expect(warnings.length).toBe(nagResults[stack.stackName][NagType.NISTWARN] || 0);
-        });
-    });
-
-    describe('NIST800.53r5 CDK NAG Errors', () => {
-        test.each(stacks)('NIST800.53r5 CDK NAG Errors for $_stackName', (stack) => {
-            const errors = Annotations.fromStack(stack).findError('*', Match.stringLikeRegexp('NIST.*'));
-            expect(errors.length).toBe(nagResults[stack.stackName][NagType.NISTERROR] || 0);
-        });
-    });
-});
diff --git a/test/cdk/stacks/roleOverrides.test.ts b/test/cdk/stacks/roleOverrides.test.ts
index 1f26241c8..bd6409d2c 100644
--- a/test/cdk/stacks/roleOverrides.test.ts
+++ b/test/cdk/stacks/roleOverrides.test.ts
@@ -28,6 +28,7 @@ const stackRolesOverrides: Record<string, number> = {
     'LisaRAG': 4,
     'LisaChat': 1,
     'LisaCore': 1,
+    'LisaModels': 1,
 };
 
 const stackRoles: Record<string, number> = {
@@ -40,7 +41,7 @@ const stackRoles: Record<string, number> = {
     'LisaApiDeployment': 0,
     'LisaIAM': 2,
     'LisaDocs': 4,
-    'LisaModels': 9,
+    'LisaModels': 10,
     'LisaRAG': 4,
     'LisaMetrics': 1,
 };
diff --git a/test/lambda/test_aws_api_gateway_middleware.py b/test/lambda/test_aws_api_gateway_middleware.py
new file mode 100644
index 000000000..233ed5368
--- /dev/null
+++ b/test/lambda/test_aws_api_gateway_middleware.py
@@ -0,0 +1,197 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""Tests for AWS API Gateway middleware."""
+
+from unittest.mock import AsyncMock, Mock
+
+from fastapi import FastAPI
+from utilities.fastapi_middleware.aws_api_gateway_middleware import AWSAPIGatewayMiddleware
+
+
+class TestAWSAPIGatewayMiddleware:
+    """Test cases for AWS API Gateway middleware."""
+
+    def test_middleware_initialization(self):
+        """Test middleware initialization."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        assert middleware.app == app
+
+    def test_dispatch_with_existing_root_path(self):
+        """Test dispatch when root_path is already set."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request with existing root_path
+        request = Mock()
+        request.scope = {"root_path": "/existing"}
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Mock response
+        response = Mock()
+        call_next.return_value = response
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result == response
+        call_next.assert_called_once_with(request)
+
+    def test_dispatch_with_aws_event_default_stage(self):
+        """Test dispatch with AWS event and default stage."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request with AWS event and default stage
+        request = Mock()
+        request.scope = {
+            "root_path": "",
+            "aws.event": {
+                "pathParameters": {"proxy": "test"},
+                "requestContext": {"stage": "$default", "path": "/test"},
+            },
+        }
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result is not None
+        call_next.assert_called_once_with(request)
+
+    def test_dispatch_with_aws_event_custom_stage(self):
+        """Test dispatch with AWS event and custom stage."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request with AWS event and custom stage
+        request = Mock()
+        request.scope = {
+            "root_path": "",
+            "aws.event": {
+                "pathParameters": {"proxy": "test"},
+                "requestContext": {"stage": "dev", "path": "/dev/test"},
+                "path": "/test",
+            },
+        }
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result is not None
+        call_next.assert_called_once_with(request)
+        assert middleware.app.root_path == "/dev"
+        assert request.scope["root_path"] == "/dev"
+
+    def test_dispatch_with_docs_path(self):
+        """Test dispatch with /docs path."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request with /docs path
+        request = Mock()
+        request.scope = {
+            "root_path": "",
+            "aws.event": {
+                "pathParameters": {"proxy": "test"},
+                "requestContext": {"stage": "dev", "path": "/dev/docs"},
+                "path": "/docs",
+            },
+        }
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result is not None
+        call_next.assert_called_once_with(request)
+
+    def test_dispatch_with_stage_path_starting_with_stage(self):
+        """Test dispatch when request path starts with stage path."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request with path starting with stage
+        request = Mock()
+        request.scope = {
+            "root_path": "",
+            "aws.event": {
+                "pathParameters": {"proxy": "test"},
+                "requestContext": {"stage": "dev", "path": "/dev/test"},
+                "path": "/test",
+            },
+        }
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result is not None
+        call_next.assert_called_once_with(request)
+        assert request.app.openapi_url == "/dev/openapi.json"
+
+    def test_dispatch_without_aws_event(self):
+        """Test dispatch without AWS event in scope."""
+        app = FastAPI()
+        middleware = AWSAPIGatewayMiddleware(app)
+
+        # Mock request without AWS event
+        request = Mock()
+        request.scope = {"root_path": ""}
+        request.app = app
+
+        # Mock call_next
+        call_next = AsyncMock()
+        call_next.return_value = Mock()
+
+        # Run the middleware
+        import asyncio
+
+        result = asyncio.run(middleware.dispatch(request, call_next))
+
+        assert result is not None
+        call_next.assert_called_once_with(request)
diff --git a/test/lambda/test_common_functions.py b/test/lambda/test_common_functions.py
index e678628af..121d7b83e 100644
--- a/test/lambda/test_common_functions.py
+++ b/test/lambda/test_common_functions.py
@@ -197,3 +197,325 @@ def test_validate_all_fields_defined_false():
 
     result = validate_all_fields_defined(["value1", None, "value3"])
     assert result is False
+
+
+def test_setup_root_logging():
+    """Test setup_root_logging function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    import logging
+
+    from utilities.common_functions import setup_root_logging
+
+    # Reset logging configuration
+    root_logger = logging.getLogger()
+    for handler in root_logger.handlers[:]:
+        root_logger.removeHandler(handler)
+
+    setup_root_logging()
+
+    # Check that logging was configured (global variable should be True)
+    from utilities.common_functions import logging_configured
+
+    assert logging_configured is True
+
+
+def test_sanitize_event():
+    """Test _sanitize_event function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import _sanitize_event
+
+    event = {"headers": {"Authorization": "Bearer token", "Content-Type": "application/json"}, "body": "test body"}
+
+    result = _sanitize_event(event)
+    assert isinstance(result, str)
+    # Should contain sanitized headers
+    assert "authorization" in result.lower()
+
+
+def test_api_wrapper_success():
+    """Test api_wrapper with successful function execution."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import api_wrapper
+
+    @api_wrapper
+    def test_function(event, context):
+        return {"message": "success"}
+
+    event = {"test": "data"}
+    context = type("Context", (), {"function_name": "test-function"})()
+
+    result = test_function(event, context)
+    assert result["statusCode"] == 200
+    assert "success" in result["body"]
+
+
+def test_api_wrapper_exception():
+    """Test api_wrapper with exception handling."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import api_wrapper
+
+    @api_wrapper
+    def test_function(event, context):
+        raise ValueError("Test error")
+
+    event = {"test": "data"}
+    context = type("Context", (), {"function_name": "test-function"})()
+
+    result = test_function(event, context)
+    assert result["statusCode"] == 400  # Default status code for exceptions
+    assert "error" in result["body"].lower()
+
+
+def test_authorization_wrapper_success():
+    """Test authorization_wrapper with successful authorization."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import authorization_wrapper
+
+    @authorization_wrapper
+    def test_function(event, context):
+        return {"message": "success"}
+
+    event = {"requestContext": {"authorizer": {"username": "test-user", "groups": ["admin"]}}}
+    context = type("Context", (), {"function_name": "test-function"})()
+
+    result = test_function(event, context)
+    # The authorization_wrapper just calls the function directly
+    assert result == {"message": "success"}
+
+
+def test_authorization_wrapper_no_authorizer():
+    """Test authorization_wrapper with missing authorizer."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import authorization_wrapper
+
+    @authorization_wrapper
+    def test_function(event, context):
+        return {"message": "success"}
+
+    event = {}
+    context = type("Context", (), {"function_name": "test-function"})()
+
+    result = test_function(event, context)
+    # The authorization_wrapper just calls the function directly
+    assert result == {"message": "success"}
+
+
+def test_generate_exception_response():
+    """Test generate_exception_response function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import generate_exception_response
+
+    exception = ValueError("Test error")
+    result = generate_exception_response(exception)
+
+    assert result["statusCode"] == 400  # Default status code for exceptions
+    assert "error" in result["body"].lower()
+
+
+def test_get_id_token():
+    """Test get_id_token function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_id_token
+
+    event = {"headers": {"authorization": "Bearer test-token"}}
+
+    result = get_id_token(event)
+    assert result == "test-token"
+
+
+def test_get_id_token_missing():
+    """Test get_id_token with missing authorization header."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_id_token
+
+    event = {"headers": {}}
+
+    with pytest.raises(ValueError, match="Missing authorization token"):
+        get_id_token(event)
+
+
+def test_get_session_id():
+    """Test get_session_id function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_session_id
+
+    event = {"pathParameters": {"sessionId": "test-session-123"}}
+
+    result = get_session_id(event)
+    assert result == "test-session-123"
+
+
+def test_get_session_id_missing():
+    """Test get_session_id with missing sessionId."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_session_id
+
+    event = {}
+
+    result = get_session_id(event)
+    assert result is None
+
+
+def test_get_groups():
+    """Test get_groups function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_groups
+
+    event = {"requestContext": {"authorizer": {"groups": '["admin", "user"]'}}}  # JSON string
+
+    result = get_groups(event)
+    assert result == ["admin", "user"]
+
+
+def test_get_groups_missing():
+    """Test get_groups with missing groups."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_groups
+
+    event = {}
+
+    result = get_groups(event)
+    assert result == []
+
+
+def test_get_principal_id():
+    """Test get_principal_id function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_principal_id
+
+    event = {
+        "requestContext": {
+            "authorizer": {"principal": "test-principal-123"}  # Note: it's "principal", not "principalId"
+        }
+    }
+
+    result = get_principal_id(event)
+    assert result == "test-principal-123"
+
+
+def test_get_principal_id_missing():
+    """Test get_principal_id with missing principalId."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_principal_id
+
+    event = {}
+
+    result = get_principal_id(event)
+    assert result == ""
+
+
+def test_get_item():
+    """Test get_item function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_item
+
+    response = {"Items": [{"test": "value"}]}
+    result = get_item(response)
+    assert result == {"test": "value"}
+
+
+def test_get_item_missing():
+    """Test get_item with missing Items."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_item
+
+    response = {}
+    result = get_item(response)
+    assert result is None
+
+
+def test_user_has_group_access_no_match():
+    """Test user_has_group_access returns False when no groups match."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import user_has_group_access
+
+    result = user_has_group_access(["user"], ["admin"])
+    assert result is False
+
+
+def test_get_bearer_token():
+    """Test get_bearer_token function."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_bearer_token
+
+    event = {"headers": {"authorization": "Bearer test-token"}}
+
+    result = get_bearer_token(event)
+    assert result == "test-token"
+
+
+def test_get_bearer_token_with_prefix():
+    """Test get_bearer_token with prefix."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_bearer_token
+
+    event = {"headers": {"authorization": "Bearer test-token"}}
+
+    result = get_bearer_token(event, with_prefix=True)
+    assert result == "test-token"  # The function strips the Bearer prefix
+
+
+def test_get_bearer_token_without_prefix():
+    """Test get_bearer_token without prefix."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_bearer_token
+
+    event = {"headers": {"authorization": "Bearer test-token"}}
+
+    result = get_bearer_token(event, with_prefix=False)
+    assert result == "test-token"
+
+
+def test_get_bearer_token_missing():
+    """Test get_bearer_token with missing authorization header."""
+    if "utilities.common_functions" in sys.modules:
+        del sys.modules["utilities.common_functions"]
+
+    from utilities.common_functions import get_bearer_token
+
+    event = {"headers": {}}
+
+    result = get_bearer_token(event)
+    assert result is None
diff --git a/test/lambda/test_file_processing.py b/test/lambda/test_file_processing.py
index d95a5caad..7f2839399 100644
--- a/test/lambda/test_file_processing.py
+++ b/test/lambda/test_file_processing.py
@@ -30,6 +30,7 @@
 os.environ["AWS_SECURITY_TOKEN"] = "testing"
 os.environ["AWS_SESSION_TOKEN"] = "testing"
 os.environ["AWS_DEFAULT_REGION"] = "us-east-1"
+os.environ["AWS_REGION"] = "us-east-1"
 
 from langchain_core.documents import Document
 
@@ -172,3 +173,198 @@ def test_generate_chunks_preserves_metadata():
 
     assert len(result) == 1
     assert result[0].metadata == metadata
+
+
+def test_extract_text_by_content_type_pdf():
+    """Test _extract_text_by_content_type with PDF file."""
+    from utilities.file_processing import _extract_text_by_content_type
+
+    mock_s3_object = {"Body": BytesIO(b"mock pdf content")}
+
+    with patch("utilities.file_processing._extract_pdf_content") as mock_extract:
+        mock_extract.return_value = "Extracted PDF text"
+
+        result = _extract_text_by_content_type("pdf", mock_s3_object)
+
+        assert result == "Extracted PDF text"
+        mock_extract.assert_called_once_with(mock_s3_object)
+
+
+def test_extract_text_by_content_type_docx():
+    """Test _extract_text_by_content_type with DOCX file."""
+    from utilities.file_processing import _extract_text_by_content_type
+
+    mock_s3_object = {"Body": BytesIO(b"mock docx content")}
+
+    with patch("utilities.file_processing._extract_docx_content") as mock_extract:
+        mock_extract.return_value = "Extracted DOCX text"
+
+        result = _extract_text_by_content_type("docx", mock_s3_object)
+
+        assert result == "Extracted DOCX text"
+        mock_extract.assert_called_once_with(mock_s3_object)
+
+
+def test_extract_text_by_content_type_txt():
+    """Test _extract_text_by_content_type with TXT file."""
+    from utilities.file_processing import _extract_text_by_content_type
+
+    mock_s3_object = {"Body": BytesIO(b"mock text content")}
+
+    with patch("utilities.file_processing._extract_text_content") as mock_extract:
+        mock_extract.return_value = "Extracted text content"
+
+        result = _extract_text_by_content_type("txt", mock_s3_object)
+
+        assert result == "Extracted text content"
+        mock_extract.assert_called_once_with(mock_s3_object)
+
+
+def test_extract_text_by_content_type_unsupported():
+    """Test _extract_text_by_content_type with unsupported file type."""
+    from utilities.file_processing import _extract_text_by_content_type
+
+    mock_s3_object = {"Body": BytesIO(b"mock content")}
+
+    with pytest.raises(RagUploadException, match="Unsupported file type"):
+        _extract_text_by_content_type("unsupported", mock_s3_object)
+
+
+def test_generate_chunks_invalid_chunk_size():
+    """Test _generate_chunks with invalid chunk size."""
+    docs = [Document(page_content="Test content", metadata={})]
+
+    with pytest.raises(RagUploadException, match="Invalid chunk size"):
+        _generate_chunks(docs, chunk_size=50, chunk_overlap=51)  # chunk_size < 100
+
+    with pytest.raises(RagUploadException, match="Invalid chunk size"):
+        _generate_chunks(docs, chunk_size=15000, chunk_overlap=51)  # chunk_size > 10000
+
+
+def test_generate_chunks_invalid_chunk_overlap():
+    """Test _generate_chunks with invalid chunk overlap."""
+    docs = [Document(page_content="Test content", metadata={})]
+
+    with pytest.raises(RagUploadException, match="Invalid chunk overlap"):
+        _generate_chunks(docs, chunk_size=512, chunk_overlap=-1)  # negative overlap
+
+    with pytest.raises(RagUploadException, match="Invalid chunk overlap"):
+        _generate_chunks(docs, chunk_size=512, chunk_overlap=512)  # overlap >= chunk_size
+
+
+def test_generate_chunks_with_none_values():
+    """Test _generate_chunks with None chunk_size and chunk_overlap."""
+    docs = [Document(page_content="Test content", metadata={})]
+
+    with patch.dict(os.environ, {"CHUNK_SIZE": "256", "CHUNK_OVERLAP": "25"}):
+        result = _generate_chunks(docs, chunk_size=None, chunk_overlap=None)
+        assert len(result) > 0
+
+
+def test_extract_pdf_content_error():
+    """Test _extract_pdf_content with PDF read error."""
+    from pypdf.errors import PdfReadError
+    from utilities.file_processing import _extract_pdf_content
+
+    mock_s3_object = {"Body": BytesIO(b"invalid pdf content")}
+
+    with patch("utilities.file_processing.PdfReader") as mock_reader:
+        mock_reader.side_effect = PdfReadError("Invalid PDF")
+
+        with pytest.raises(PdfReadError):
+            _extract_pdf_content(mock_s3_object)
+
+
+def test_extract_pdf_content_success():
+    """Test _extract_pdf_content with valid PDF."""
+    from utilities.file_processing import _extract_pdf_content
+
+    mock_s3_object = {"Body": BytesIO(b"mock pdf content")}
+
+    with patch("utilities.file_processing.PdfReader") as mock_reader:
+        mock_page = MagicMock()
+        mock_page.extract_text.return_value = "Page 1 content"
+        mock_reader.return_value.pages = [mock_page]
+
+        result = _extract_pdf_content(mock_s3_object)
+        assert result == "Page 1 content"
+
+
+def test_extract_docx_content_success():
+    """Test _extract_docx_content with valid DOCX."""
+    from utilities.file_processing import _extract_docx_content
+
+    mock_s3_object = {"Body": BytesIO(b"mock docx content")}
+
+    with patch("utilities.file_processing.docx.Document") as mock_doc:
+        mock_para = MagicMock()
+        mock_para.text = "Paragraph content"
+        mock_doc.return_value.paragraphs = [mock_para]
+
+        result = _extract_docx_content(mock_s3_object)
+        assert result == "Paragraph content"
+
+
+def test_extract_text_content_success():
+    """Test _extract_text_content with valid text."""
+    from utilities.file_processing import _extract_text_content
+
+    mock_s3_object = {"Body": BytesIO(b"test text content")}
+
+    result = _extract_text_content(mock_s3_object)
+    assert result == "test text content"
+
+
+def test_generate_chunks_s3_error(sample_ingestion_job):
+    """Test generate_chunks with S3 ClientError."""
+    from botocore.exceptions import ClientError
+
+    job = sample_ingestion_job
+    job.s3_path = "s3://test-bucket/test-key.txt"
+
+    with patch("utilities.file_processing.s3") as mock_s3:
+        mock_s3.get_object.side_effect = ClientError(
+            error_response={"Error": {"Code": "NoSuchKey"}}, operation_name="GetObject"
+        )
+
+        with pytest.raises(ClientError):
+            generate_chunks(job)
+
+
+def test_generate_chunks_unrecognized_strategy(sample_ingestion_job):
+    """Test generate_chunks with unrecognized chunk strategy."""
+    from models.domain_objects import ChunkingStrategyType, FixedChunkingStrategy
+
+    job = sample_ingestion_job
+    job.s3_path = "s3://test-bucket/test-key.txt"
+
+    # Create a mock chunking strategy with an invalid type by directly setting the attribute
+    job.chunk_strategy = FixedChunkingStrategy(type=ChunkingStrategyType.FIXED, size=512, overlap=51)
+    job.chunk_strategy.type = "INVALID_TYPE"  # Override the type after creation
+
+    with patch("utilities.file_processing.s3") as mock_s3:
+        mock_s3.get_object.return_value = {"Body": BytesIO(b"test content")}
+
+        with pytest.raises(Exception, match="Unrecognized chunk strategy"):
+            generate_chunks(job)
+
+
+def test_generate_fixed_chunks_with_metadata(sample_ingestion_job):
+    """Test generate_fixed_chunks updates metadata with part numbers."""
+    from utilities.file_processing import generate_fixed_chunks
+
+    job = sample_ingestion_job
+    job.s3_path = "s3://test-bucket/test-key.txt"
+
+    mock_s3_object = {"Body": BytesIO(b"test content for chunking " * 100)}
+
+    with patch("utilities.file_processing._extract_text_by_content_type") as mock_extract:
+        mock_extract.return_value = "test content for chunking " * 100
+
+        result = generate_fixed_chunks(job, "txt", mock_s3_object)
+
+        assert len(result) > 1
+        for i, doc in enumerate(result):
+            assert doc.metadata["part"] == i + 1
+            assert doc.metadata["source"] == job.s3_path
+            assert doc.metadata["name"] == "test-key.txt"
diff --git a/test/lambda/test_model_api_key_cleanup.py b/test/lambda/test_model_api_key_cleanup.py
new file mode 100644
index 000000000..de9b21dd7
--- /dev/null
+++ b/test/lambda/test_model_api_key_cleanup.py
@@ -0,0 +1,220 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+import json
+from unittest.mock import Mock, patch
+
+import pytest
+from models.model_api_key_cleanup import get_database_connection, lambda_handler
+
+
+class TestModelApiKeyCleanup:
+    """Test cases for model_api_key_cleanup lambda function."""
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_delete_request_type(self, mock_get_connection):
+        """Test that DELETE request type still processes but returns SUCCESS."""
+        mock_connection = Mock()
+        mock_cursor = Mock()
+        mock_connection.cursor.return_value = mock_cursor
+        mock_cursor.fetchall.return_value = []
+        mock_get_connection.return_value = mock_connection
+
+        event = {"RequestType": "Delete"}
+        context = Mock()
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            result = lambda_handler(event, context)
+
+            assert result["Status"] == "SUCCESS"
+            assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_success(self, mock_get_connection):
+        """Test successful execution."""
+        mock_connection = Mock()
+        mock_cursor = Mock()
+        mock_connection.cursor.return_value = mock_cursor
+        mock_cursor.fetchall.return_value = [("model-1", '{"api_key": "ignored"}')]
+        mock_get_connection.return_value = mock_connection
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            event = {"RequestType": "Create"}
+            context = Mock()
+
+            result = lambda_handler(event, context)
+
+            assert result["Status"] == "SUCCESS"
+            assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+            assert "ModelsUpdated" in result["Data"]
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_exception(self, mock_get_connection):
+        """Test exception handling."""
+        mock_get_connection.side_effect = Exception("Database connection failed")
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            event = {"RequestType": "Create"}
+            context = Mock()
+
+            result = lambda_handler(event, context)
+
+        assert result["Status"] == "FAILED"
+        assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+        assert "Database connection failed" in result["Reason"]
+
+    @patch("models.model_api_key_cleanup.boto3.client")
+    def test_get_database_connection_success(self, mock_boto3_client):
+        """Test successful database connection."""
+        mock_ssm_client = Mock()
+        mock_secrets_client = Mock()
+        mock_boto3_client.side_effect = [mock_ssm_client, mock_secrets_client]
+
+        # Mock SSM parameter response
+        mock_ssm_client.get_parameter.return_value = {
+            "Parameter": {
+                "Value": json.dumps(
+                    {
+                        "dbHost": "test-host",
+                        "dbPort": "5432",
+                        "dbName": "testdb",
+                        "username": "testuser",
+                        "passwordSecretId": "test-secret",
+                    }
+                )
+            }
+        }
+
+        # Mock Secrets Manager response
+        mock_secrets_client.get_secret_value.return_value = {
+            "SecretString": json.dumps({"username": "testuser", "password": "testpass"})
+        }
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            with patch("models.model_api_key_cleanup.psycopg2.connect") as mock_connect:
+                mock_connection = Mock()
+                mock_connect.return_value = mock_connection
+
+                result = get_database_connection()
+
+                assert result == mock_connection
+                mock_connect.assert_called_once()
+
+    @patch("models.model_api_key_cleanup.boto3.client")
+    def test_get_database_connection_ssm_error(self, mock_boto3_client):
+        """Test SSM parameter retrieval failure."""
+        mock_ssm_client = Mock()
+        mock_boto3_client.return_value = mock_ssm_client
+        mock_ssm_client.get_parameter.side_effect = Exception("SSM error")
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            with pytest.raises(Exception, match="SSM error"):
+                get_database_connection()
+
+    def test_get_database_connection_secrets_error(self):
+        """Test Secrets Manager error during database connection."""
+        mock_ssm_client = Mock()
+        mock_secrets_client = Mock()
+
+        with patch("models.model_api_key_cleanup.boto3.client") as mock_boto3_client:
+            mock_boto3_client.side_effect = [mock_ssm_client, mock_secrets_client]
+
+            # Mock SSM parameter response
+            mock_ssm_client.get_parameter.return_value = {
+                "Parameter": {
+                    "Value": json.dumps(
+                        {
+                            "dbHost": "test-host",
+                            "dbPort": "5432",
+                            "dbName": "testdb",
+                            "username": "testuser",
+                            "passwordSecretId": "test-secret",
+                        }
+                    )
+                }
+            }
+
+            # Mock Secrets Manager error
+            mock_secrets_client.get_secret_value.side_effect = Exception("Secrets error")
+
+            with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+                with pytest.raises(Exception, match="Secrets error"):
+                    get_database_connection()
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_no_tables_found(self, mock_get_connection):
+        """Test when no LiteLLM tables are found in database."""
+        mock_connection = Mock()
+        mock_cursor = Mock()
+        mock_connection.cursor.return_value = mock_cursor
+        mock_cursor.fetchall.return_value = []  # No tables found
+        mock_get_connection.return_value = mock_connection
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            event = {"RequestType": "Create"}
+            context = Mock()
+
+            result = lambda_handler(event, context)
+
+            assert result["Status"] == "SUCCESS"
+            assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+            assert result["Data"]["ModelsUpdated"] == "0"
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_table_found_but_no_models(self, mock_get_connection):
+        """Test when LiteLLM table is found but no models need updating."""
+        mock_connection = Mock()
+        mock_cursor = Mock()
+        mock_connection.cursor.return_value = mock_cursor
+
+        # Mock table discovery
+        mock_cursor.fetchall.side_effect = [
+            [("LiteLLM_ProxyModelTable",)],  # Tables found
+            [("id", "model_name", "litellm_params")],  # Column info
+            [],  # No models with api_key
+        ]
+        mock_cursor.description = [("id",), ("model_name",), ("litellm_params",)]
+        mock_get_connection.return_value = mock_connection
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            event = {"RequestType": "Create"}
+            context = Mock()
+
+            result = lambda_handler(event, context)
+
+            assert result["Status"] == "SUCCESS"
+            assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+            assert "ModelsUpdated" in result["Data"]
+
+    @patch("models.model_api_key_cleanup.get_database_connection")
+    def test_lambda_handler_missing_columns(self, mock_get_connection):
+        """Test when required columns are not found in the table."""
+        mock_connection = Mock()
+        mock_cursor = Mock()
+        mock_connection.cursor.return_value = mock_cursor
+
+        # Mock table discovery but missing required columns
+        mock_cursor.fetchall.return_value = [("LiteLLM_ProxyModelTable",)]
+        mock_cursor.description = [("some_column",), ("other_column",)]  # Missing required columns
+        mock_get_connection.return_value = mock_connection
+
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1", "DEPLOYMENT_PREFIX": "/test/LISA/lisa"}):
+            event = {"RequestType": "Create"}
+            context = Mock()
+
+            result = lambda_handler(event, context)
+
+            assert result["Status"] == "SUCCESS"
+            assert result["PhysicalResourceId"] == "bedrock-auth-cleanup"
+            assert result["Data"]["ModelsUpdated"] == "0"
diff --git a/test/lambda/test_numeric_type_preservation.py b/test/lambda/test_numeric_type_preservation.py
new file mode 100644
index 000000000..df89691ab
--- /dev/null
+++ b/test/lambda/test_numeric_type_preservation.py
@@ -0,0 +1,299 @@
+#!/usr/bin/env python3
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""
+Unit test to verify numeric type preservation through encryption/decryption.
+
+This test ensures that numeric types (floats, ints) are preserved correctly
+when session data goes through the encryption/decryption process.
+"""
+
+import json
+import os
+import sys
+import unittest
+from decimal import Decimal
+from unittest.mock import patch
+
+# Add the lambda directory to the path so we can import the utilities
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "lambda"))
+
+from utilities.session_encryption import (
+    _deserialize_with_type_preservation,
+    _serialize_with_type_preservation,
+    decrypt_session_data,
+    encrypt_session_data,
+    TypePreservingJSONEncoder,
+)
+
+
+class TestNumericTypePreservation(unittest.TestCase):
+    """Test numeric type preservation through encryption/decryption."""
+
+    def setUp(self):
+        """Set up test fixtures."""
+        # Set up environment variables
+        os.environ["SESSION_ENCRYPTION_KEY_ARN"] = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+
+        # Mock KMS client to avoid actual AWS calls
+        self.kms_patcher = patch("utilities.session_encryption.kms_client")
+        self.mock_kms = self.kms_patcher.start()
+
+        # Mock KMS responses
+        self.mock_kms.generate_data_key.return_value = {
+            "Plaintext": b"01234567890123456789012345678901",  # 32 bytes
+            "CiphertextBlob": b"encrypted_key_data",
+        }
+        self.mock_kms.decrypt.return_value = {"Plaintext": b"01234567890123456789012345678901"}
+
+        # Test data with various numeric types
+        self.test_session_data = {
+            "configuration": {
+                "selectedModel": {
+                    "top_p": 0.01,  # float
+                    "temperature": 0.7,  # float
+                    "max_tokens": 1000,  # int
+                    "presence_penalty": -0.1,  # negative float
+                    "frequency_penalty": 0.0,  # zero float
+                    "stop_sequences": ["</s>", "<|endoftext|>"],  # non-numeric
+                    "model_id": "gpt-4",  # string
+                    "enabled": True,  # boolean
+                }
+            },
+            "history": [
+                {"type": "human", "content": "Test message with numbers: 42 and 3.14"},
+                {"type": "assistant", "content": "Response with numeric values: 100 and 0.5"},
+            ],
+            "metadata": {
+                "session_id": "test-session-123",
+                "version": 1,  # int
+                "score": 0.95,  # float
+                "count": 0,  # zero int
+            },
+        }
+
+    def tearDown(self):
+        """Clean up after tests."""
+        self.kms_patcher.stop()
+
+    def test_type_preserving_json_encoder(self):
+        """Test that TypePreservingJSONEncoder preserves numeric types."""
+        encoder = TypePreservingJSONEncoder()
+
+        # Test with Decimal (should convert to float)
+        decimal_value = Decimal("0.01")
+        result = encoder.default(decimal_value)
+        self.assertIsInstance(result, float)
+        self.assertEqual(result, 0.01)
+
+        # Test with other types (should use default behavior)
+        # Note: int, str, bool are already JSON serializable, so they won't call default()
+        # We can test this by encoding a full object
+        test_data = {"int": 42, "float": 3.14, "decimal": Decimal("0.01")}
+        json_str = json.dumps(test_data, cls=TypePreservingJSONEncoder)
+        parsed = json.loads(json_str)
+
+        self.assertIsInstance(parsed["int"], int)
+        self.assertIsInstance(parsed["float"], float)
+        self.assertIsInstance(parsed["decimal"], float)  # Decimal converted to float
+
+    def test_serialize_deserialize_preservation(self):
+        """Test that serialize/deserialize preserves numeric types."""
+        # Serialize the test data
+        json_str = _serialize_with_type_preservation(self.test_session_data)
+
+        # Deserialize the data
+        deserialized_data = _deserialize_with_type_preservation(json_str)
+
+        # Verify numeric types are preserved
+        config = deserialized_data["configuration"]["selectedModel"]
+
+        # Check float types
+        self.assertIsInstance(config["top_p"], float)
+        self.assertEqual(config["top_p"], 0.01)
+
+        self.assertIsInstance(config["temperature"], float)
+        self.assertEqual(config["temperature"], 0.7)
+
+        self.assertIsInstance(config["presence_penalty"], float)
+        self.assertEqual(config["presence_penalty"], -0.1)
+
+        self.assertIsInstance(config["frequency_penalty"], float)
+        self.assertEqual(config["frequency_penalty"], 0.0)
+
+        # Check int types
+        self.assertIsInstance(config["max_tokens"], int)
+        self.assertEqual(config["max_tokens"], 1000)
+
+        # Check metadata numeric types
+        metadata = deserialized_data["metadata"]
+        self.assertIsInstance(metadata["version"], int)
+        self.assertEqual(metadata["version"], 1)
+
+        self.assertIsInstance(metadata["score"], float)
+        self.assertEqual(metadata["score"], 0.95)
+
+        self.assertIsInstance(metadata["count"], int)
+        self.assertEqual(metadata["count"], 0)
+
+        # Verify non-numeric types are unchanged
+        self.assertIsInstance(config["stop_sequences"], list)
+        self.assertIsInstance(config["model_id"], str)
+        self.assertIsInstance(config["enabled"], bool)
+
+    def test_encryption_decryption_preservation(self):
+        """Test that encryption/decryption preserves numeric types."""
+        user_id = "test-user-123"
+        session_id = "test-session-456"
+
+        # Encrypt the session data
+        encrypted_data = encrypt_session_data(self.test_session_data, user_id, session_id)
+
+        # Verify encryption produced a string
+        self.assertIsInstance(encrypted_data, str)
+        self.assertGreater(len(encrypted_data), 0)
+
+        # Decrypt the session data
+        decrypted_data = decrypt_session_data(encrypted_data, user_id, session_id)
+
+        # Verify the decrypted data structure matches original
+        self.assertEqual(decrypted_data["configuration"]["selectedModel"]["top_p"], 0.01)
+        self.assertEqual(decrypted_data["configuration"]["selectedModel"]["temperature"], 0.7)
+        self.assertEqual(decrypted_data["configuration"]["selectedModel"]["max_tokens"], 1000)
+        self.assertEqual(decrypted_data["configuration"]["selectedModel"]["presence_penalty"], -0.1)
+        self.assertEqual(decrypted_data["configuration"]["selectedModel"]["frequency_penalty"], 0.0)
+
+        # Verify numeric types are preserved after encryption/decryption
+        config = decrypted_data["configuration"]["selectedModel"]
+
+        # Check float types
+        self.assertIsInstance(config["top_p"], float)
+        self.assertIsInstance(config["temperature"], float)
+        self.assertIsInstance(config["presence_penalty"], float)
+        self.assertIsInstance(config["frequency_penalty"], float)
+
+        # Check int types
+        self.assertIsInstance(config["max_tokens"], int)
+
+        # Check metadata numeric types
+        metadata = decrypted_data["metadata"]
+        self.assertIsInstance(metadata["version"], int)
+        self.assertIsInstance(metadata["score"], float)
+        self.assertIsInstance(metadata["count"], int)
+
+        # Verify the entire structure is preserved
+        self.assertEqual(decrypted_data, self.test_session_data)
+
+    def test_edge_cases(self):
+        """Test edge cases for numeric type preservation."""
+        edge_case_data = {
+            "very_small_float": 1e-10,
+            "very_large_float": 1e10,
+            "negative_int": -42,
+            "zero_float": 0.0,
+            "zero_int": 0,
+            "negative_float": -3.14159,
+            "nested_numbers": {"level1": {"level2": {"value": 0.123456789}}},
+            "array_with_numbers": [1, 2.5, -3, 0.0, 1000],
+            "mixed_array": ["string", 42, 0.5, True, None],
+        }
+
+        user_id = "test-user-edge"
+        session_id = "test-session-edge"
+
+        # Encrypt and decrypt
+        encrypted = encrypt_session_data(edge_case_data, user_id, session_id)
+        decrypted = decrypt_session_data(encrypted, user_id, session_id)
+
+        # Verify numeric types are preserved
+        self.assertIsInstance(decrypted["very_small_float"], float)
+        self.assertEqual(decrypted["very_small_float"], 1e-10)
+
+        self.assertIsInstance(decrypted["very_large_float"], float)
+        self.assertEqual(decrypted["very_large_float"], 1e10)
+
+        self.assertIsInstance(decrypted["negative_int"], int)
+        self.assertEqual(decrypted["negative_int"], -42)
+
+        self.assertIsInstance(decrypted["zero_float"], float)
+        self.assertEqual(decrypted["zero_float"], 0.0)
+
+        self.assertIsInstance(decrypted["zero_int"], int)
+        self.assertEqual(decrypted["zero_int"], 0)
+
+        self.assertIsInstance(decrypted["negative_float"], float)
+        self.assertEqual(decrypted["negative_float"], -3.14159)
+
+        # Check nested numeric types
+        nested_value = decrypted["nested_numbers"]["level1"]["level2"]["value"]
+        self.assertIsInstance(nested_value, float)
+        self.assertEqual(nested_value, 0.123456789)
+
+        # Check array numeric types
+        array = decrypted["array_with_numbers"]
+        self.assertIsInstance(array[0], int)  # 1
+        self.assertIsInstance(array[1], float)  # 2.5
+        self.assertIsInstance(array[2], int)  # -3
+        self.assertIsInstance(array[3], float)  # 0.0
+        self.assertIsInstance(array[4], int)  # 1000
+
+    def test_json_parsing_with_correct_types(self):
+        """Test that JSON parsing with float/int preserves types correctly."""
+        # Simulate the JSON parsing that happens in Lambda functions
+        json_data = {
+            "configuration": {
+                "selectedModel": {"top_p": 0.01, "temperature": 0.7, "max_tokens": 1000, "presence_penalty": -0.1}
+            }
+        }
+
+        # Convert to JSON string and parse back (simulating Lambda behavior)
+        json_str = json.dumps(json_data)
+        parsed_data = json.loads(json_str, parse_float=float, parse_int=int)
+
+        # Verify types are correct
+        config = parsed_data["configuration"]["selectedModel"]
+        self.assertIsInstance(config["top_p"], float)
+        self.assertIsInstance(config["temperature"], float)
+        self.assertIsInstance(config["max_tokens"], int)
+        self.assertIsInstance(config["presence_penalty"], float)
+
+        # Now test encryption/decryption with this correctly parsed data
+        user_id = "test-user-json"
+        session_id = "test-session-json"
+
+        encrypted = encrypt_session_data(parsed_data, user_id, session_id)
+        decrypted = decrypt_session_data(encrypted, user_id, session_id)
+
+        # Verify types are still correct after encryption/decryption
+        decrypted_config = decrypted["configuration"]["selectedModel"]
+        self.assertIsInstance(decrypted_config["top_p"], float)
+        self.assertIsInstance(decrypted_config["temperature"], float)
+        self.assertIsInstance(decrypted_config["max_tokens"], int)
+        self.assertIsInstance(decrypted_config["presence_penalty"], float)
+
+        # Verify values are correct
+        self.assertEqual(decrypted_config["top_p"], 0.01)
+        self.assertEqual(decrypted_config["temperature"], 0.7)
+        self.assertEqual(decrypted_config["max_tokens"], 1000)
+        self.assertEqual(decrypted_config["presence_penalty"], -0.1)
+
+
+if __name__ == "__main__":
+    # Set up environment variables for testing
+    os.environ["AWS_REGION"] = "us-east-1"
+    os.environ["SESSION_ENCRYPTION_KMS_KEY_ARN"] = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+
+    # Run the tests
+    unittest.main(verbosity=2)
diff --git a/test/lambda/test_pipeline_ingest_documents.py b/test/lambda/test_pipeline_ingest_documents.py
index e83f3cec4..a5f93e2a5 100644
--- a/test/lambda/test_pipeline_ingest_documents.py
+++ b/test/lambda/test_pipeline_ingest_documents.py
@@ -93,7 +93,7 @@ def test_remove_document_from_vectorstore():
     import repository.pipeline_ingest_documents as pid
 
     doc = make_doc()
-    with patch("repository.pipeline_ingest_documents.get_embeddings_pipeline"), patch(
+    with patch("repository.pipeline_ingest_documents.RagEmbeddings"), patch(
         "repository.pipeline_ingest_documents.get_vector_store_client"
     ) as mock_vs:
         mock_vs.return_value.delete = MagicMock()
@@ -167,7 +167,7 @@ def test_handle_pipline_ingest_schedule_error():
 def test_store_chunks_in_vectorstore_success():
     import repository.pipeline_ingest_documents as pid
 
-    with patch("repository.pipeline_ingest_documents.get_embeddings_pipeline"), patch(
+    with patch("repository.pipeline_ingest_documents.RagEmbeddings"), patch(
         "repository.pipeline_ingest_documents.get_vector_store_client"
     ) as mock_vs:
         mock_vs.return_value.add_texts.return_value = ["id1", "id2"]
@@ -180,7 +180,7 @@ def test_store_chunks_in_vectorstore_success():
 def test_store_chunks_in_vectorstore_empty_batch():
     import repository.pipeline_ingest_documents as pid
 
-    with patch("repository.pipeline_ingest_documents.get_embeddings_pipeline"), patch(
+    with patch("repository.pipeline_ingest_documents.RagEmbeddings"), patch(
         "repository.pipeline_ingest_documents.get_vector_store_client"
     ) as mock_vs:
         mock_vs.return_value.add_texts.return_value = []
diff --git a/test/lambda/test_rds_auth.py b/test/lambda/test_rds_auth.py
new file mode 100644
index 000000000..91336d074
--- /dev/null
+++ b/test/lambda/test_rds_auth.py
@@ -0,0 +1,72 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""Tests for RDS authentication utilities."""
+
+from unittest.mock import Mock, patch
+
+import pytest
+from botocore.exceptions import ClientError
+from utilities.rds_auth import generate_auth_token
+
+
+class TestRdsAuth:
+    """Test cases for RDS authentication utilities."""
+
+    def test_generate_auth_token_success(self):
+        """Test successful generation of RDS auth token."""
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1"}):
+            with patch("boto3.client") as mock_boto3:
+                mock_rds = Mock()
+                mock_rds.generate_db_auth_token.return_value = "test-token-value"
+                mock_boto3.return_value = mock_rds
+
+                result = generate_auth_token("test-host", "5432", "test-user")
+
+                assert result == "test-token-value"
+                mock_rds.generate_db_auth_token.assert_called_once_with(
+                    DBHostname="test-host", Port="5432", DBUsername="test-user"
+                )
+
+    def test_generate_auth_token_with_special_characters(self):
+        """Test token generation with special characters that need URL encoding."""
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1"}):
+            with patch("boto3.client") as mock_boto3:
+                mock_rds = Mock()
+                mock_rds.generate_db_auth_token.return_value = "token+with/special=chars&more"
+                mock_boto3.return_value = mock_rds
+
+                result = generate_auth_token("test-host", "5432", "test-user")
+
+                # Should be URL encoded
+                assert result == "token%2Bwith%2Fspecial%3Dchars%26more"
+
+    def test_generate_auth_token_client_error(self):
+        """Test handling of ClientError from RDS client."""
+        with patch.dict("os.environ", {"AWS_REGION": "us-east-1"}):
+            with patch("boto3.client") as mock_boto3:
+                mock_rds = Mock()
+                mock_rds.generate_db_auth_token.side_effect = ClientError(
+                    error_response={"Error": {"Code": "InvalidParameterValue"}}, operation_name="GenerateDBAuthToken"
+                )
+                mock_boto3.return_value = mock_rds
+
+                with pytest.raises(ClientError):
+                    generate_auth_token("invalid-host", "5432", "test-user")
+
+    def test_generate_auth_token_missing_region(self):
+        """Test handling of missing AWS_REGION environment variable."""
+        with patch.dict("os.environ", {}, clear=True):
+            with pytest.raises(KeyError):
+                generate_auth_token("test-host", "5432", "test-user")
diff --git a/test/lambda/test_repository_lambda.py b/test/lambda/test_repository_lambda.py
index 3a2ed7206..837a08119 100644
--- a/test/lambda/test_repository_lambda.py
+++ b/test/lambda/test_repository_lambda.py
@@ -129,8 +129,6 @@ def wrapper(event, context, *args, **kwargs):
 mock_common.admin_only = mock_admin_only
 
 # Create mock modules for missing dependencies
-mock_lisapy = MagicMock()
-mock_lisapy_langchain = MagicMock()
 mock_langchain_community = MagicMock()
 mock_langchain_core = MagicMock()
 mock_opensearchpy = MagicMock()
@@ -227,12 +225,8 @@ def mock_boto3_client(*args, **kwargs):
         "create_env_variables": mock_create_env,
         "repository.vector_store_repo": mock_vs_repo,
         "repository.rag_document_repo": mock_doc_repo,
-        "lisapy": mock_lisapy,
-        "lisapy.langchain": mock_lisapy_langchain,
         "langchain_community": mock_langchain_community,
         "langchain_community.vectorstores": mock_langchain_community,
-        "langchain_community.vectorstores.opensearch_vector_search": mock_langchain_community,
-        "langchain_community.vectorstores.pgvector": mock_langchain_community,
         "langchain_core": mock_langchain_core,
         "langchain_core.embeddings": mock_langchain_core,
         "langchain_core.vectorstores": mock_langchain_core,
@@ -781,18 +775,18 @@ def mock_delete_func(event, context):
             assert "repositoryId is required" in body["error"]
 
 
-def test_get_embeddings_error():
-    """Test error handling in get_embeddings function"""
+def test_RagEmbeddings_error():
+    """Test error handling in RagEmbeddings function"""
 
     # Create a patched version of the function that raises an error
-    def mock_get_embeddings(model_name, api_key):
+    def mock_RagEmbeddings(model_name, api_key):
         raise Exception("SSM error")
 
     # Patch the function
-    with patch("repository.lambda_functions.get_embeddings", side_effect=mock_get_embeddings):
+    with patch("repository.lambda_functions.RagEmbeddings", side_effect=mock_RagEmbeddings):
         # Test that the error is properly handled
         with pytest.raises(Exception, match="SSM error"):
-            mock_get_embeddings("test-model", "test-token")
+            mock_RagEmbeddings("test-model", "test-token")
 
 
 def test_similarity_search_forbidden():
@@ -843,18 +837,18 @@ def mock_remove_legacy(repository_id):
 
 
 def test_pipeline_embeddings_embed_documents_error():
-    """Test error handling in PipelineEmbeddings.embed_documents"""
+    """Test error handling in LisaOpenAIEmbeddings.embed_documents"""
 
     # Mock the function to raise an exception
     def mock_embed_documents(docs):
         raise requests.RequestException("API request failed")
 
-    # Create a mock PipelineEmbeddings instance
+    # Create a mock LisaOpenAIEmbeddings instance
     mock_embeddings = MagicMock()
     mock_embeddings.embed_documents.side_effect = mock_embed_documents
 
-    # Patch get_embeddings_pipeline to return our mock
-    with patch("repository.embeddings.get_embeddings_pipeline", return_value=mock_embeddings):
+    # Patch RagEmbeddings_pipeline to return our mock
+    with patch("repository.embeddings.RagEmbeddings", return_value=mock_embeddings):
         embeddings = mock_embeddings
 
         # Test that the error is properly handled
@@ -862,19 +856,19 @@ def mock_embed_documents(docs):
             embeddings.embed_documents(["test text"])
 
 
-def test_pipeline_embeddings_embed_query_error():
-    """Test error handling in PipelineEmbeddings.embed_query"""
+def test_embeddings_embed_query_error():
+    """Test error handling in OpenAIEmbeddings.embed_query"""
 
     # Mock the function to raise an exception
     def mock_embed_query(query):
         raise ValidationError("Invalid query text")
 
-    # Create a mock PipelineEmbeddings instance
+    # Create a mock LisaOpenAIEmbeddings instance
     mock_embeddings = MagicMock()
     mock_embeddings.embed_query.side_effect = mock_embed_query
 
-    # Patch get_embeddings_pipeline to return our mock
-    with patch("repository.embeddings.get_embeddings_pipeline", return_value=mock_embeddings):
+    # Patch RagEmbeddings_pipeline to return our mock
+    with patch("repository.embeddings.RagEmbeddings", return_value=mock_embeddings):
         embeddings = mock_embeddings
 
         # Test with invalid input
@@ -885,20 +879,6 @@ def mock_embed_query(query):
             embeddings.embed_query("")
 
 
-def test_get_embeddings_pipeline_error():
-    """Test error handling in get_embeddings_pipeline function"""
-
-    # Mock the function to raise an exception
-    def mock_get_embeddings_pipeline(model_name):
-        raise ValidationError("Invalid model name")
-
-    # Patch the function
-    with patch("repository.embeddings.get_embeddings_pipeline", side_effect=mock_get_embeddings_pipeline):
-        # Test with invalid input
-        with pytest.raises(ValidationError, match="Invalid model name"):
-            mock_get_embeddings_pipeline("invalid-model")
-
-
 def test_ensure_repository_access_unauthorized():
     """Test _ensure_repository_access with unauthorized access"""
 
@@ -1017,86 +997,75 @@ def test_repository_access_validation():
 # Additional comprehensive tests for better coverage
 
 
-def test_get_embeddings_function():
-    """Test the get_embeddings function"""
-    from repository.embeddings import get_embeddings
+def test_RagEmbeddings_function():
+    """Test the RagEmbeddings function"""
+    from repository.embeddings import RagEmbeddings
 
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
         "repository.embeddings.get_cert_path"
-    ) as mock_cert, patch("repository.embeddings.LisaOpenAIEmbeddings") as mock_embeddings:
+    ) as mock_cert, patch("repository.embeddings.get_management_key") as mock_key:
 
-        mock_ssm.get_parameter.return_value = {"Parameter": {"Value": "https://api.example.com"}}
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
-        mock_embeddings_instance = MagicMock()
-        mock_embeddings.return_value = mock_embeddings_instance
+        mock_key.return_value = "test-token"
 
-        result = get_embeddings("test-model", "test-token")
+        result = RagEmbeddings("test-model", "test-token")
 
-        assert result == mock_embeddings_instance
-        mock_ssm.get_parameter.assert_called_once()
+        assert result.model_name == "test-model"
         mock_cert.assert_called_once()
-        mock_embeddings.assert_called_once()
+        assert mock_endpoint.call_count == 2  # Called twice in RagEmbeddings.__init__
 
 
 def test_pipeline_embeddings_init():
-    """Test PipelineEmbeddings initialization"""
-    from repository.embeddings import PipelineEmbeddings
+    """Test RagEmbeddings initialization"""
+    from repository.embeddings import RagEmbeddings
 
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert:
+    with patch("repository.embeddings.get_management_key") as mock_management_key, patch(
+        "repository.embeddings.get_rest_api_container_endpoint"
+    ) as mock_endpoint, patch("repository.embeddings.get_cert_path") as mock_cert:
 
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+        mock_management_key.return_value = "test-token"
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model")
 
+        assert isinstance(embeddings.model_name, str)
         assert embeddings.model_name == "test-model"
-        assert embeddings.token == "test-token"
-        assert "/serve" in embeddings.base_url
-        assert embeddings.cert_path == "/path/to/cert"
+        mock_management_key.assert_called_once()
+        assert mock_endpoint.call_count == 2  # Called twice in RagEmbeddings.__init__
+        mock_cert.assert_called_once()
 
 
 def test_pipeline_embeddings_init_error():
-    """Test PipelineEmbeddings initialization error handling"""
-    from repository.embeddings import PipelineEmbeddings
+    """Test LisaOpenAIEmbeddings initialization error handling"""
+    from repository.embeddings import RagEmbeddings
 
     with patch("repository.embeddings.ssm_client") as mock_ssm:
         mock_ssm.get_parameter.side_effect = Exception("SSM error")
 
         with pytest.raises(Exception):
-            PipelineEmbeddings("test-model")
+            RagEmbeddings("test-model")
 
 
 def test_pipeline_embeddings_embed_documents():
-    """Test PipelineEmbeddings embed_documents method"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+    """Test RagEmbeddings embed_documents method"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
+
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        # Setup requests mock
+        # Mock successful API response
         mock_response = MagicMock()
         mock_response.status_code = 200
         mock_response.json.return_value = {"data": [{"embedding": [0.1, 0.2, 0.3]}, {"embedding": [0.4, 0.5, 0.6]}]}
-        mock_requests.post.return_value = mock_response
+        mock_post.return_value = mock_response
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
         result = embeddings.embed_documents(["text1", "text2"])
 
         assert len(result) == 2
@@ -1105,232 +1074,165 @@ def test_pipeline_embeddings_embed_documents():
 
 
 def test_pipeline_embeddings_embed_documents_no_texts():
-    """Test PipelineEmbeddings embed_documents with no texts"""
-    from repository.embeddings import PipelineEmbeddings
+    """Test RagEmbeddings embed_documents with no texts"""
+    from repository.embeddings import RagEmbeddings
 
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert:
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.get_management_key") as mock_key:
 
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
+        mock_key.return_value = "test-token"
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
         with pytest.raises(ValidationError, match="No texts provided for embedding"):
             embeddings.embed_documents([])
 
 
 def test_pipeline_embeddings_embed_documents_api_error():
-    """Test PipelineEmbeddings embed_documents with API error"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
-        mock_cert.return_value = "/path/to/cert"
+    """Test RagEmbeddings embed_documents with API error"""
+    from repository.embeddings import RagEmbeddings
 
-        # Setup requests mock for error
-        mock_response = MagicMock()
-        mock_response.status_code = 500
-        mock_response.text = "Internal server error"
-        mock_requests.post.return_value = mock_response
-        mock_requests.Timeout = requests.Timeout
-        mock_requests.RequestException = requests.RequestException
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
 
-        embeddings = PipelineEmbeddings("test-model")
+        mock_endpoint.return_value = "https://api.example.com"
+        mock_cert.return_value = "/path/to/cert"
+        mock_post.side_effect = Exception("API request failed")
+
+        embeddings = RagEmbeddings("test-model", "test-token")
 
-        with pytest.raises(Exception, match="Embedding request failed with status 500"):
+        with pytest.raises(Exception, match="API request failed"):
             embeddings.embed_documents(["text1"])
 
 
 def test_pipeline_embeddings_embed_documents_timeout():
-    """Test PipelineEmbeddings embed_documents with timeout"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
-        mock_cert.return_value = "/path/to/cert"
+    """Test RagEmbeddings embed_documents with timeout"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
 
-        # Setup requests mock for timeout
-        mock_requests.Timeout = requests.Timeout
-        mock_requests.RequestException = requests.RequestException
-        mock_requests.post.side_effect = requests.Timeout("Request timed out")
+        mock_endpoint.return_value = "https://api.example.com"
+        mock_cert.return_value = "/path/to/cert"
+        mock_post.side_effect = requests.Timeout("Request timed out")
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
         with pytest.raises(Exception, match="Embedding request timed out after 5 minutes"):
             embeddings.embed_documents(["text1"])
 
 
 def test_pipeline_embeddings_embed_documents_different_formats():
-    """Test PipelineEmbeddings embed_documents with different response formats"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+    """Test RagEmbeddings embed_documents with different response formats"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
+
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
-        # Test embeddings key format
+        # Test OpenAI format
         mock_response = MagicMock()
         mock_response.status_code = 200
-        mock_response.json.return_value = {"embeddings": [[0.1, 0.2], [0.3, 0.4]]}
-        mock_requests.post.return_value = mock_response
-
+        mock_response.json.return_value = {"data": [{"embedding": [0.1, 0.2]}, {"embedding": [0.3, 0.4]}]}
+        mock_post.return_value = mock_response
         result = embeddings.embed_documents(["text1", "text2"])
         assert len(result) == 2
 
         # Test direct list format
-        mock_response.json.return_value = [[0.1, 0.2], [0.3, 0.4]]
+        mock_response.json.return_value = [[0.5, 0.6], [0.7, 0.8]]
         result = embeddings.embed_documents(["text1", "text2"])
         assert len(result) == 2
 
 
 def test_pipeline_embeddings_embed_documents_no_embeddings():
-    """Test PipelineEmbeddings embed_documents with no embeddings in response"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+    """Test RagEmbeddings embed_documents with no embeddings in response"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
+
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        # Setup requests mock with no embeddings
         mock_response = MagicMock()
         mock_response.status_code = 200
-        mock_response.json.return_value = {"other_data": "value"}
-        mock_requests.post.return_value = mock_response
-        mock_requests.Timeout = requests.Timeout
-        mock_requests.RequestException = requests.RequestException
+        mock_response.json.return_value = {"message": "No embeddings"}
+        mock_post.return_value = mock_response
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
         with pytest.raises(Exception, match="No embeddings found in API response"):
             embeddings.embed_documents(["text1"])
 
 
 def test_pipeline_embeddings_embed_documents_mismatch():
-    """Test PipelineEmbeddings embed_documents with embedding count mismatch"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+    """Test RagEmbeddings embed_documents with embedding count mismatch"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
+
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        # Setup requests mock with wrong number of embeddings
         mock_response = MagicMock()
         mock_response.status_code = 200
         mock_response.json.return_value = {"data": [{"embedding": [0.1, 0.2]}]}  # Only 1 embedding for 2 texts
-        mock_requests.post.return_value = mock_response
-        mock_requests.Timeout = requests.Timeout
-        mock_requests.RequestException = requests.RequestException
+        mock_post.return_value = mock_response
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
         with pytest.raises(Exception, match="Number of embeddings does not match number of input texts"):
             embeddings.embed_documents(["text1", "text2"])
 
 
 def test_pipeline_embeddings_embed_query():
-    """Test PipelineEmbeddings embed_query method"""
-    from repository.embeddings import PipelineEmbeddings
-
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert, patch(
-        "repository.embeddings.requests"
-    ) as mock_requests:
-
-        # Setup initialization mocks
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+    """Test RagEmbeddings embed_query method"""
+    from repository.embeddings import RagEmbeddings
+
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.requests.post") as mock_post:
+
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
 
-        # Setup requests mock
         mock_response = MagicMock()
         mock_response.status_code = 200
         mock_response.json.return_value = {"data": [{"embedding": [0.1, 0.2, 0.3]}]}
-        mock_requests.post.return_value = mock_response
+        mock_post.return_value = mock_response
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
         result = embeddings.embed_query("test query")
 
         assert result == [0.1, 0.2, 0.3]
 
 
 def test_pipeline_embeddings_embed_query_invalid():
-    """Test PipelineEmbeddings embed_query with invalid input"""
-    from repository.embeddings import PipelineEmbeddings
+    """Test RagEmbeddings embed_query with invalid input"""
+    from repository.embeddings import RagEmbeddings
 
-    with patch("repository.embeddings.ssm_client") as mock_ssm, patch(
-        "repository.embeddings.secrets_client"
-    ) as mock_secrets, patch("repository.embeddings.get_cert_path") as mock_cert:
+    with patch("repository.embeddings.get_rest_api_container_endpoint") as mock_endpoint, patch(
+        "repository.embeddings.get_cert_path"
+    ) as mock_cert, patch("repository.embeddings.get_management_key") as mock_key:
 
-        mock_ssm.get_parameter.side_effect = [
-            {"Parameter": {"Value": "secret-name"}},
-            {"Parameter": {"Value": "https://api.example.com"}},
-        ]
-        mock_secrets.get_secret_value.return_value = {"SecretString": "test-token"}
+        mock_endpoint.return_value = "https://api.example.com"
         mock_cert.return_value = "/path/to/cert"
+        mock_key.return_value = "test-token"
 
-        embeddings = PipelineEmbeddings("test-model")
+        embeddings = RagEmbeddings("test-model", "test-token")
 
         with pytest.raises(ValidationError, match="Invalid query text"):
             embeddings.embed_query(None)
@@ -1339,20 +1241,6 @@ def test_pipeline_embeddings_embed_query_invalid():
             embeddings.embed_query("")
 
 
-def test_get_embeddings_pipeline():
-    """Test get_embeddings_pipeline function"""
-    from repository.embeddings import get_embeddings_pipeline
-
-    with patch("repository.embeddings.PipelineEmbeddings") as mock_pipeline:
-        mock_instance = MagicMock()
-        mock_pipeline.return_value = mock_instance
-
-        result = get_embeddings_pipeline("test-model")
-
-        assert result == mock_instance
-        mock_pipeline.assert_called_once_with(model_name="test-model")
-
-
 def test_user_has_group():
     """Test user_has_group_access helper function"""
     from utilities.common_functions import user_has_group_access
@@ -1424,7 +1312,7 @@ def test_real_similarity_search_function():
 
     with patch("repository.lambda_functions.vs_repo") as mock_vs_repo, patch(
         "utilities.vector_store.get_vector_store_client"
-    ) as mock_get_client, patch("repository.embeddings.get_embeddings") as mock_get_embeddings, patch(
+    ) as mock_get_client, patch("repository.embeddings.RagEmbeddings") as mock_RagEmbeddings, patch(
         "utilities.common_functions.get_groups"
     ) as mock_get_groups, patch(
         "utilities.common_functions.get_id_token"
@@ -1442,7 +1330,7 @@ def test_real_similarity_search_function():
         ]
 
         mock_embeddings = MagicMock()
-        mock_get_embeddings.return_value = mock_embeddings
+        mock_RagEmbeddings.return_value = mock_embeddings
 
         event = {
             "requestContext": {"authorizer": {"claims": {"username": "test-user"}, "groups": ["test-group"]}},
diff --git a/test/lambda/test_session_encryption.py b/test/lambda/test_session_encryption.py
new file mode 100644
index 000000000..d2d27b743
--- /dev/null
+++ b/test/lambda/test_session_encryption.py
@@ -0,0 +1,558 @@
+#!/usr/bin/env python3
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""
+Comprehensive tests for session encryption utilities.
+
+This test module provides comprehensive coverage for all functions in
+lambda/utilities/session_encryption.py, including error conditions,
+edge cases, and exception handling paths.
+"""
+
+import base64
+import json
+import os
+import sys
+import unittest
+from decimal import Decimal
+from unittest.mock import patch
+
+# Add the lambda directory to the path so we can import the utilities
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "lambda"))
+
+from utilities.session_encryption import (
+    _create_encryption_context,
+    _decrypt_data_key,
+    _deserialize_with_type_preservation,
+    _generate_data_key,
+    _get_kms_key_arn,
+    _serialize_with_type_preservation,
+    decrypt_session_data,
+    decrypt_session_fields,
+    encrypt_session_data,
+    is_encrypted_data,
+    migrate_session_to_encrypted,
+    SessionEncryptionError,
+    TypePreservingJSONEncoder,
+)
+
+
+class TestSessionEncryption(unittest.TestCase):
+    """Test session encryption utilities."""
+
+    def setUp(self):
+        """Set up test fixtures."""
+        # Set up environment variables
+        os.environ["SESSION_ENCRYPTION_KEY_ARN"] = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+        os.environ["AWS_REGION"] = "us-east-1"
+
+        # Mock KMS client to avoid actual AWS calls
+        self.kms_patcher = patch("utilities.session_encryption.kms_client")
+        self.mock_kms = self.kms_patcher.start()
+
+        # Mock KMS responses
+        self.mock_kms.generate_data_key.return_value = {
+            "Plaintext": b"01234567890123456789012345678901",  # 32 bytes
+            "CiphertextBlob": b"encrypted_key_data",
+        }
+        self.mock_kms.decrypt.return_value = {"Plaintext": b"01234567890123456789012345678901"}
+
+        # Test data
+        self.test_data = {
+            "configuration": {"model": "test-model", "temperature": 0.7},
+            "history": [{"type": "human", "content": "Hello"}],
+        }
+        self.user_id = "test-user"
+        self.session_id = "test-session"
+
+    def tearDown(self):
+        """Clean up after tests."""
+        self.kms_patcher.stop()
+
+    def test_type_preserving_json_encoder_decimal(self):
+        """Test TypePreservingJSONEncoder with Decimal objects."""
+        encoder = TypePreservingJSONEncoder()
+        decimal_value = Decimal("0.01")
+        result = encoder.default(decimal_value)
+        self.assertIsInstance(result, float)
+        self.assertEqual(result, 0.01)
+
+    def test_type_preserving_json_encoder_other_types(self):
+        """Test TypePreservingJSONEncoder with other types."""
+        encoder = TypePreservingJSONEncoder()
+
+        # Test with a non-Decimal type that would trigger default (like a custom object)
+        class CustomObject:
+            def __init__(self, value):
+                self.value = value
+
+        custom_obj = CustomObject("test")
+        # This should raise TypeError since it's not JSON serializable
+        with self.assertRaises(TypeError):
+            encoder.default(custom_obj)
+
+    def test_serialize_with_type_preservation(self):
+        """Test _serialize_with_type_preservation function."""
+        data = {"value": Decimal("0.01"), "string": "test"}
+        result = _serialize_with_type_preservation(data)
+        parsed = json.loads(result)
+        self.assertIsInstance(parsed["value"], float)
+        self.assertEqual(parsed["value"], 0.01)
+
+    def test_deserialize_with_type_preservation(self):
+        """Test _deserialize_with_type_preservation function."""
+        json_str = '{"value": 0.01, "count": 42}'
+        result = _deserialize_with_type_preservation(json_str)
+        self.assertIsInstance(result["value"], float)
+        self.assertIsInstance(result["count"], int)
+
+    def test_get_kms_key_arn_success(self):
+        """Test _get_kms_key_arn with valid environment variable."""
+        result = _get_kms_key_arn()
+        self.assertEqual(result, "arn:aws:kms:us-east-1:123456789012:key/test-key-id")
+
+    def test_get_kms_key_arn_missing(self):
+        """Test _get_kms_key_arn with missing environment variable."""
+        with patch.dict(os.environ, {}, clear=True):
+            with self.assertRaises(SessionEncryptionError) as context:
+                _get_kms_key_arn()
+            self.assertIn("SESSION_ENCRYPTION_KEY_ARN environment variable not set", str(context.exception))
+
+    def test_get_kms_key_arn_empty(self):
+        """Test _get_kms_key_arn with empty environment variable."""
+        with patch.dict(os.environ, {"SESSION_ENCRYPTION_KEY_ARN": ""}):
+            with self.assertRaises(SessionEncryptionError) as context:
+                _get_kms_key_arn()
+            self.assertIn("SESSION_ENCRYPTION_KEY_ARN environment variable not set", str(context.exception))
+
+    def test_generate_data_key_success(self):
+        """Test _generate_data_key with successful KMS call."""
+        key_arn = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+        encryption_context = {"userId": "test-user", "sessionId": "test-session"}
+
+        plaintext, encrypted = _generate_data_key(key_arn, encryption_context)
+
+        self.assertEqual(plaintext, b"01234567890123456789012345678901")
+        self.assertEqual(encrypted, b"encrypted_key_data")
+        self.mock_kms.generate_data_key.assert_called_once_with(
+            KeyId=key_arn, KeySpec="AES_256", EncryptionContext=encryption_context
+        )
+
+    def test_generate_data_key_no_context(self):
+        """Test _generate_data_key without encryption context."""
+        key_arn = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+
+        plaintext, encrypted = _generate_data_key(key_arn)
+
+        self.assertEqual(plaintext, b"01234567890123456789012345678901")
+        self.assertEqual(encrypted, b"encrypted_key_data")
+        self.mock_kms.generate_data_key.assert_called_once_with(KeyId=key_arn, KeySpec="AES_256", EncryptionContext={})
+
+    def test_generate_data_key_client_error(self):
+        """Test _generate_data_key with KMS ClientError."""
+        from botocore.exceptions import ClientError
+
+        self.mock_kms.generate_data_key.side_effect = ClientError(
+            error_response={"Error": {"Code": "AccessDeniedException"}}, operation_name="GenerateDataKey"
+        )
+
+        with self.assertRaises(SessionEncryptionError) as context:
+            _generate_data_key("arn:aws:kms:us-east-1:123456789012:key/test-key-id")
+
+        self.assertIn("Failed to generate data key", str(context.exception))
+
+    def test_decrypt_data_key_success(self):
+        """Test _decrypt_data_key with successful KMS call."""
+        encrypted_key = b"encrypted_key_data"
+        encryption_context = {"userId": "test-user", "sessionId": "test-session"}
+
+        result = _decrypt_data_key(encrypted_key, encryption_context)
+
+        self.assertEqual(result, b"01234567890123456789012345678901")
+        self.mock_kms.decrypt.assert_called_once_with(
+            CiphertextBlob=encrypted_key, EncryptionContext=encryption_context
+        )
+
+    def test_decrypt_data_key_no_context(self):
+        """Test _decrypt_data_key without encryption context."""
+        encrypted_key = b"encrypted_key_data"
+
+        result = _decrypt_data_key(encrypted_key)
+
+        self.assertEqual(result, b"01234567890123456789012345678901")
+        self.mock_kms.decrypt.assert_called_once_with(CiphertextBlob=encrypted_key, EncryptionContext={})
+
+    def test_decrypt_data_key_client_error(self):
+        """Test _decrypt_data_key with KMS ClientError."""
+        from botocore.exceptions import ClientError
+
+        self.mock_kms.decrypt.side_effect = ClientError(
+            error_response={"Error": {"Code": "AccessDeniedException"}}, operation_name="Decrypt"
+        )
+
+        with self.assertRaises(SessionEncryptionError) as context:
+            _decrypt_data_key(b"encrypted_key_data")
+
+        self.assertIn("Failed to decrypt data key", str(context.exception))
+
+    def test_create_encryption_context(self):
+        """Test _create_encryption_context function."""
+        result = _create_encryption_context("user123", "session456")
+        expected = {"userId": "user123", "sessionId": "session456", "purpose": "session-encryption"}
+        self.assertEqual(result, expected)
+
+    def test_encrypt_session_data_success(self):
+        """Test encrypt_session_data with successful encryption."""
+        result = encrypt_session_data(self.test_data, self.user_id, self.session_id)
+
+        # Verify result is a base64 encoded string
+        self.assertIsInstance(result, str)
+        self.assertGreater(len(result), 0)
+
+        # Verify it can be decoded
+        decoded = base64.b64decode(result).decode("utf-8")
+        parsed = json.loads(decoded)
+        self.assertIn("encrypted_key", parsed)
+        self.assertIn("encrypted_data", parsed)
+        self.assertIn("encryption_version", parsed)
+
+    def test_encrypt_session_data_exception(self):
+        """Test encrypt_session_data with exception during encryption."""
+        # Mock KMS to raise an exception
+        self.mock_kms.generate_data_key.side_effect = Exception("KMS error")
+
+        with self.assertRaises(SessionEncryptionError) as context:
+            encrypt_session_data(self.test_data, self.user_id, self.session_id)
+
+        self.assertIn("Failed to encrypt session data", str(context.exception))
+
+    def test_decrypt_session_data_success(self):
+        """Test decrypt_session_data with successful decryption."""
+        # First encrypt some data
+        encrypted_data = encrypt_session_data(self.test_data, self.user_id, self.session_id)
+
+        # Then decrypt it
+        result = decrypt_session_data(encrypted_data, self.user_id, self.session_id)
+
+        # Verify the decrypted data matches the original
+        self.assertEqual(result, self.test_data)
+
+    def test_decrypt_session_data_exception(self):
+        """Test decrypt_session_data with exception during decryption."""
+        # Create invalid encrypted data
+        invalid_data = "invalid_base64_data"
+
+        with self.assertRaises(SessionEncryptionError) as context:
+            decrypt_session_data(invalid_data, self.user_id, self.session_id)
+
+        self.assertIn("Failed to decrypt session data", str(context.exception))
+
+    def test_is_encrypted_data_valid(self):
+        """Test is_encrypted_data with valid encrypted data."""
+        # Create valid encrypted data structure
+        valid_data = {
+            "encrypted_key": "key_data",
+            "encrypted_data": "data_data",
+            "encryption_version": "1.0",
+        }
+        encoded_data = base64.b64encode(json.dumps(valid_data).encode("utf-8")).decode("utf-8")
+
+        result = is_encrypted_data(encoded_data)
+        self.assertTrue(result)
+
+    def test_is_encrypted_data_invalid_structure(self):
+        """Test is_encrypted_data with invalid structure."""
+        # Create data with missing fields
+        invalid_data = {"encrypted_key": "key_data"}  # Missing required fields
+        encoded_data = base64.b64encode(json.dumps(invalid_data).encode("utf-8")).decode("utf-8")
+
+        result = is_encrypted_data(encoded_data)
+        self.assertFalse(result)
+
+    def test_is_encrypted_data_invalid_json(self):
+        """Test is_encrypted_data with invalid JSON."""
+        # Create invalid JSON
+        invalid_data = "not_valid_json"
+        encoded_data = base64.b64encode(invalid_data.encode("utf-8")).decode("utf-8")
+
+        result = is_encrypted_data(encoded_data)
+        self.assertFalse(result)
+
+    def test_is_encrypted_data_invalid_base64(self):
+        """Test is_encrypted_data with invalid base64."""
+        # Create invalid base64
+        invalid_data = "not_valid_base64!"
+
+        result = is_encrypted_data(invalid_data)
+        self.assertFalse(result)
+
+    def test_is_encrypted_data_non_dict(self):
+        """Test is_encrypted_data with non-dict JSON."""
+        # Create valid JSON but not a dict
+        invalid_data = ["not", "a", "dict"]
+        encoded_data = base64.b64encode(json.dumps(invalid_data).encode("utf-8")).decode("utf-8")
+
+        result = is_encrypted_data(encoded_data)
+        self.assertFalse(result)
+
+    def test_migrate_session_to_encrypted_success(self):
+        """Test migrate_session_to_encrypted with successful migration."""
+        session_data = {
+            "sessionId": "test-session",
+            "history": [{"type": "human", "content": "Hello"}],
+            "configuration": {"model": "test-model"},
+            "other_field": "value",
+        }
+
+        result = migrate_session_to_encrypted(session_data, self.user_id, self.session_id)
+
+        # Verify encryption metadata
+        self.assertTrue(result["is_encrypted"])
+        self.assertEqual(result["encryption_version"], "1.0")
+
+        # Verify fields were encrypted
+        self.assertIn("encrypted_history", result)
+        self.assertIn("encrypted_configuration", result)
+
+        # Verify original fields were removed
+        self.assertNotIn("history", result)
+        self.assertNotIn("configuration", result)
+
+        # Verify other fields remain
+        self.assertEqual(result["sessionId"], "test-session")
+        self.assertEqual(result["other_field"], "value")
+
+    def test_migrate_session_to_encrypted_missing_fields(self):
+        """Test migrate_session_to_encrypted with missing fields to encrypt."""
+        session_data = {
+            "sessionId": "test-session",
+            "other_field": "value",
+        }
+
+        result = migrate_session_to_encrypted(session_data, self.user_id, self.session_id)
+
+        # Verify encryption metadata
+        self.assertTrue(result["is_encrypted"])
+        self.assertEqual(result["encryption_version"], "1.0")
+
+        # Verify no encrypted fields were added
+        self.assertNotIn("encrypted_history", result)
+        self.assertNotIn("encrypted_configuration", result)
+
+    def test_migrate_session_to_encrypted_none_fields(self):
+        """Test migrate_session_to_encrypted with None fields."""
+        session_data = {
+            "sessionId": "test-session",
+            "history": None,
+            "configuration": None,
+        }
+
+        result = migrate_session_to_encrypted(session_data, self.user_id, self.session_id)
+
+        # Verify encryption metadata
+        self.assertTrue(result["is_encrypted"])
+        self.assertEqual(result["encryption_version"], "1.0")
+
+        # Verify no encrypted fields were added for None values
+        self.assertNotIn("encrypted_history", result)
+        self.assertNotIn("encrypted_configuration", result)
+
+    def test_migrate_session_to_encrypted_exception(self):
+        """Test migrate_session_to_encrypted with exception during encryption."""
+        # Mock encrypt_session_data to raise an exception
+        with patch("utilities.session_encryption.encrypt_session_data") as mock_encrypt:
+            mock_encrypt.side_effect = Exception("Encryption error")
+
+            session_data = {
+                "sessionId": "test-session",
+                "history": [{"type": "human", "content": "Hello"}],
+            }
+
+            with self.assertRaises(SessionEncryptionError) as context:
+                migrate_session_to_encrypted(session_data, self.user_id, self.session_id)
+
+            self.assertIn("Failed to migrate session to encrypted", str(context.exception))
+
+    def test_decrypt_session_fields_success(self):
+        """Test decrypt_session_fields with successful decryption."""
+        # Create encrypted session data
+        encrypted_session = {
+            "sessionId": "test-session",
+            "encrypted_history": "encrypted_history_data",
+            "encrypted_configuration": "encrypted_config_data",
+            "is_encrypted": True,
+            "encryption_version": "1.0",
+        }
+
+        # Mock decrypt_session_data to return decrypted data
+        with patch("utilities.session_encryption.decrypt_session_data") as mock_decrypt:
+            mock_decrypt.side_effect = [
+                [{"type": "human", "content": "Hello"}],  # history
+                {"model": "test-model"},  # configuration
+            ]
+
+            result = decrypt_session_fields(encrypted_session, self.user_id, self.session_id)
+
+            # Verify decrypted fields
+            self.assertEqual(result["history"], [{"type": "human", "content": "Hello"}])
+            self.assertEqual(result["configuration"], {"model": "test-model"})
+
+            # Verify encrypted fields were removed
+            self.assertNotIn("encrypted_history", result)
+            self.assertNotIn("encrypted_configuration", result)
+
+            # Verify metadata was removed
+            self.assertNotIn("is_encrypted", result)
+            self.assertNotIn("encryption_version", result)
+
+            # Verify other fields remain
+            self.assertEqual(result["sessionId"], "test-session")
+
+    def test_decrypt_session_fields_missing_fields(self):
+        """Test decrypt_session_fields with missing encrypted fields."""
+        session_data = {
+            "sessionId": "test-session",
+            "other_field": "value",
+        }
+
+        result = decrypt_session_fields(session_data, self.user_id, self.session_id)
+
+        # Verify no changes were made
+        self.assertEqual(result, session_data)
+
+    def test_decrypt_session_fields_none_fields(self):
+        """Test decrypt_session_fields with None encrypted fields."""
+        session_data = {
+            "sessionId": "test-session",
+            "encrypted_history": None,
+            "encrypted_configuration": None,
+        }
+
+        result = decrypt_session_fields(session_data, self.user_id, self.session_id)
+
+        # Verify no changes were made
+        self.assertEqual(result, session_data)
+
+    def test_decrypt_session_fields_exception(self):
+        """Test decrypt_session_fields with exception during decryption."""
+        # Mock decrypt_session_data to raise an exception
+        with patch("utilities.session_encryption.decrypt_session_data") as mock_decrypt:
+            mock_decrypt.side_effect = Exception("Decryption error")
+
+            session_data = {
+                "sessionId": "test-session",
+                "encrypted_history": "encrypted_data",
+            }
+
+            with self.assertRaises(SessionEncryptionError) as context:
+                decrypt_session_fields(session_data, self.user_id, self.session_id)
+
+            self.assertIn("Failed to decrypt session fields", str(context.exception))
+
+    def test_end_to_end_encryption_decryption(self):
+        """Test complete encryption and decryption cycle."""
+        # Test data with various types
+        test_data = {
+            "configuration": {
+                "model": "test-model",
+                "temperature": 0.7,
+                "max_tokens": 1000,
+                "enabled": True,
+            },
+            "history": [
+                {"type": "human", "content": "Hello"},
+                {"type": "assistant", "content": "Hi there!"},
+            ],
+            "metadata": {"version": 1, "score": 0.95},
+        }
+
+        # Encrypt the data
+        encrypted_data = encrypt_session_data(test_data, self.user_id, self.session_id)
+
+        # Verify it's encrypted
+        self.assertTrue(is_encrypted_data(encrypted_data))
+
+        # Decrypt the data
+        decrypted_data = decrypt_session_data(encrypted_data, self.user_id, self.session_id)
+
+        # Verify the data matches
+        self.assertEqual(decrypted_data, test_data)
+
+    def test_migrate_and_decrypt_cycle(self):
+        """Test complete migration and decryption cycle."""
+        # Original session data
+        session_data = {
+            "sessionId": "test-session",
+            "userId": "test-user",
+            "history": [{"type": "human", "content": "Hello"}],
+            "configuration": {"model": "test-model"},
+            "other_field": "value",
+        }
+
+        # Migrate to encrypted
+        encrypted_session = migrate_session_to_encrypted(session_data, self.user_id, self.session_id)
+
+        # Verify encryption metadata
+        self.assertTrue(encrypted_session["is_encrypted"])
+        self.assertEqual(encrypted_session["encryption_version"], "1.0")
+
+        # Decrypt the fields
+        decrypted_session = decrypt_session_fields(encrypted_session, self.user_id, self.session_id)
+
+        # Verify the decrypted session matches the original (minus encryption metadata)
+        expected_session = session_data.copy()
+        self.assertEqual(decrypted_session["sessionId"], expected_session["sessionId"])
+        self.assertEqual(decrypted_session["userId"], expected_session["userId"])
+        self.assertEqual(decrypted_session["other_field"], expected_session["other_field"])
+
+    def test_edge_case_empty_data(self):
+        """Test encryption/decryption with empty data."""
+        empty_data = {}
+
+        encrypted_data = encrypt_session_data(empty_data, self.user_id, self.session_id)
+        decrypted_data = decrypt_session_data(encrypted_data, self.user_id, self.session_id)
+
+        self.assertEqual(decrypted_data, empty_data)
+
+    def test_edge_case_none_values(self):
+        """Test encryption/decryption with None values."""
+        data_with_none = {"value": None, "nested": {"key": None}}
+
+        encrypted_data = encrypt_session_data(data_with_none, self.user_id, self.session_id)
+        decrypted_data = decrypt_session_data(encrypted_data, self.user_id, self.session_id)
+
+        self.assertEqual(decrypted_data, data_with_none)
+
+    def test_edge_case_large_data(self):
+        """Test encryption/decryption with large data."""
+        large_data = {
+            "large_string": "x" * 10000,
+            "large_list": list(range(1000)),
+            "nested": {"deep": {"structure": {"with": {"many": {"levels": "value"}}}}},
+        }
+
+        encrypted_data = encrypt_session_data(large_data, self.user_id, self.session_id)
+        decrypted_data = decrypt_session_data(encrypted_data, self.user_id, self.session_id)
+
+        self.assertEqual(decrypted_data, large_data)
+
+
+if __name__ == "__main__":
+    # Set up environment variables for testing
+    os.environ["AWS_REGION"] = "us-east-1"
+    os.environ["SESSION_ENCRYPTION_KEY_ARN"] = "arn:aws:kms:us-east-1:123456789012:key/test-key-id"
+
+    # Run the tests
+    unittest.main(verbosity=2)
diff --git a/test/lambda/test_session_lambda.py b/test/lambda/test_session_lambda.py
index a6ca0fb3b..11f355027 100644
--- a/test/lambda/test_session_lambda.py
+++ b/test/lambda/test_session_lambda.py
@@ -39,6 +39,8 @@
 os.environ["SESSIONS_BY_USER_ID_INDEX_NAME"] = "sessions-by-user-id-index"
 os.environ["GENERATED_IMAGES_S3_BUCKET_NAME"] = "bucket"
 os.environ["MODEL_TABLE_NAME"] = "model-table"
+os.environ["CONFIG_TABLE_NAME"] = "config-table"
+os.environ["SESSION_ENCRYPTION_KEY_ARN"] = "arn:aws:kms:us-east-1:123456789012:key/12345678-1234-1234-1234-123456789012"
 
 # Create a real retry config
 retry_config = Config(retries=dict(max_attempts=3), defaults_mode="standard")
@@ -117,6 +119,25 @@ def dynamodb_table(dynamodb):
     return table
 
 
+@pytest.fixture(scope="function")
+def config_table(dynamodb):
+    """Create a mock configuration DynamoDB table."""
+    table = dynamodb.create_table(
+        TableName="config-table",
+        KeySchema=[
+            {"AttributeName": "configScope", "KeyType": "HASH"},
+            {"AttributeName": "versionId", "KeyType": "RANGE"},
+        ],
+        AttributeDefinitions=[
+            {"AttributeName": "configScope", "AttributeType": "S"},
+            {"AttributeName": "versionId", "AttributeType": "N"},
+        ],
+        BillingMode="PAY_PER_REQUEST",
+    )
+    table.wait_until_exists()
+    return table
+
+
 # Create mock modules
 mock_common = MagicMock()
 mock_common.get_username.return_value = "test-user"
@@ -306,8 +327,9 @@ def test_delete_session_not_found(dynamodb_table, lambda_context, mock_s3_operat
         mock_common.get_session_id.return_value = original_session_id
 
 
-def test_put_session(dynamodb_table, sample_session, lambda_context):
+def test_put_session(dynamodb_table, config_table, sample_session, lambda_context):
     """Test putting a session."""
+
     event = {
         "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
         "pathParameters": {"sessionId": "test-session"},
@@ -328,9 +350,9 @@ def test_get_session_not_found(dynamodb_table, lambda_context):
     }
 
     response = get_session(event, lambda_context)
-    assert response["statusCode"] == 200
+    assert response["statusCode"] == 404
     body = json.loads(response["body"])
-    assert body == {}
+    assert "error" in body
 
 
 def test_put_session_invalid_body(dynamodb_table, lambda_context):
@@ -369,3 +391,791 @@ def test_list_sessions_empty(dynamodb_table, lambda_context):
     assert response["statusCode"] == 200
     body = json.loads(response["body"])
     assert len(body) == 0
+
+
+# Import the configuration functions for testing
+from session.lambda_functions import (
+    _delete_user_session,
+    _find_first_human_message,
+    _generate_presigned_image_url,
+    _get_all_user_sessions,
+    _get_current_model_config,
+    _is_session_encryption_enabled,
+    _process_image,
+    _update_session_with_current_model_config,
+    attach_image_to_session,
+    rename_session,
+)
+
+
+def test_is_session_encryption_enabled_true(config_table, lambda_context):
+    """Test session encryption enabled via global configuration."""
+
+    # Add global configuration entry with encryption enabled
+    config_table.put_item(
+        Item={
+            "configScope": "global",
+            "versionId": 0,
+            "configuration": {"enabledComponents": {"encryptSession": True}},
+            "created_at": "1234567890",
+        }
+    )
+
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is True
+
+
+def test_is_session_encryption_enabled_false(config_table, lambda_context):
+    """Test session encryption disabled via global configuration."""
+
+    # Add global configuration entry with encryption disabled
+    config_table.put_item(
+        Item={
+            "configScope": "global",
+            "versionId": 0,
+            "configuration": {"enabledComponents": {"encryptSession": False}},
+            "created_at": "1234567890",
+        }
+    )
+
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is False
+
+
+def test_is_session_encryption_enabled_default_fallback(config_table, lambda_context):
+    """Test session encryption defaults to disabled when configuration is missing."""
+
+    # Don't add any configuration entry
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is False  # Should default to disabled
+
+
+@patch("session.lambda_functions.config_table")
+def test_is_session_encryption_enabled_error_fallback(mock_config_table, lambda_context):
+    """Test session encryption defaults to disabled when there's an error accessing configuration."""
+    # Mock the config table to raise an exception
+    mock_config_table.query.side_effect = Exception("Database error")
+
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is False  # Should default to disabled on error
+
+
+@patch("session.lambda_functions.config_table")
+def test_is_session_encryption_enabled_client_error(mock_config_table, lambda_context):
+    """Test session encryption with ClientError in configuration lookup."""
+    from botocore.exceptions import ClientError
+
+    # Mock config table to raise ClientError
+    mock_config_table.query.side_effect = ClientError(
+        error_response={"Error": {"Code": "ResourceNotFoundException"}}, operation_name="Query"
+    )
+
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is False  # Should default to False on ClientError
+
+
+@patch("session.lambda_functions.config_table")
+def test_is_session_encryption_enabled_general_exception(mock_config_table, lambda_context):
+    """Test session encryption with general exception in configuration lookup."""
+
+    # Mock config table to raise general exception
+    mock_config_table.query.side_effect = Exception("General database error")
+
+    # Clear cache to ensure fresh result
+    from session.lambda_functions import cache
+
+    cache.clear()
+
+    result = _is_session_encryption_enabled()
+    assert result is False  # Should default to False on general exception
+
+
+# Model Configuration Tests
+@pytest.fixture(scope="function")
+def model_table(dynamodb):
+    """Create a mock model DynamoDB table."""
+    table = dynamodb.create_table(
+        TableName="model-table",
+        KeySchema=[{"AttributeName": "model_id", "KeyType": "HASH"}],
+        AttributeDefinitions=[{"AttributeName": "model_id", "AttributeType": "S"}],
+        BillingMode="PAY_PER_REQUEST",
+    )
+    table.wait_until_exists()
+    return table
+
+
+def test_get_current_model_config_missing_table():
+    """Test _get_current_model_config with missing model_table."""
+    with patch("session.lambda_functions.model_table", None):
+        result = _get_current_model_config("test-model")
+        assert result == {}
+
+
+def test_get_current_model_config_missing_model_id():
+    """Test _get_current_model_config with missing model_id."""
+    with patch("session.lambda_functions.model_table") as mock_table:
+        result = _get_current_model_config("")
+        assert result == {}
+        mock_table.get_item.assert_not_called()
+
+
+@patch("session.lambda_functions.model_table")
+def test_get_current_model_config_client_error(mock_model_table):
+    """Test _get_current_model_config with ClientError."""
+    from botocore.exceptions import ClientError
+
+    mock_model_table.get_item.side_effect = ClientError(
+        error_response={"Error": {"Code": "ResourceNotFoundException"}}, operation_name="GetItem"
+    )
+
+    result = _get_current_model_config("test-model")
+    assert result == {}
+
+
+def test_get_current_model_config_success(model_table):
+    """Test _get_current_model_config with successful retrieval."""
+    # Add a model to the table
+    model_table.put_item(Item={"model_id": "test-model", "model_config": {"features": ["feature1"], "streaming": True}})
+
+    with patch("session.lambda_functions.model_table", model_table):
+        result = _get_current_model_config("test-model")
+        assert result == {"features": ["feature1"], "streaming": True}
+
+
+def test_update_session_with_current_model_config_empty_config():
+    """Test _update_session_with_current_model_config with empty config."""
+    result = _update_session_with_current_model_config({})
+    assert result == {}
+
+
+def test_update_session_with_current_model_config_no_model_id():
+    """Test _update_session_with_current_model_config with no modelId."""
+    session_config = {"selectedModel": {"name": "test-model"}}  # No modelId
+
+    result = _update_session_with_current_model_config(session_config)
+    assert result == session_config
+
+
+def test_update_session_with_current_model_config_model_not_found():
+    """Test _update_session_with_current_model_config when model not found."""
+    session_config = {"selectedModel": {"modelId": "non-existent-model"}}
+
+    with patch("session.lambda_functions._get_current_model_config") as mock_get_config:
+        mock_get_config.return_value = {}
+
+        result = _update_session_with_current_model_config(session_config)
+        assert result == session_config
+
+
+def test_update_session_with_current_model_config_success():
+    """Test _update_session_with_current_model_config with successful update."""
+    session_config = {"selectedModel": {"modelId": "test-model"}}
+
+    current_model_config = {
+        "features": ["new-feature"],
+        "streaming": False,
+        "modelType": "updated-type",
+        "modelDescription": "Updated description",
+        "allowedGroups": ["group1", "group2"],
+    }
+
+    with patch("session.lambda_functions._get_current_model_config") as mock_get_config:
+        mock_get_config.return_value = current_model_config
+
+        result = _update_session_with_current_model_config(session_config)
+
+        # Verify the selectedModel was updated with current config
+        assert result["selectedModel"]["features"] == ["new-feature"]
+        assert result["selectedModel"]["streaming"] is False
+        assert result["selectedModel"]["modelType"] == "updated-type"
+        assert result["selectedModel"]["modelDescription"] == "Updated description"
+        assert result["selectedModel"]["allowedGroups"] == ["group1", "group2"]
+
+
+# Session Processing Tests
+@patch("session.lambda_functions.table")
+def test_get_all_user_sessions_resource_not_found(mock_table):
+    """Test _get_all_user_sessions with ResourceNotFoundException."""
+    from botocore.exceptions import ClientError
+
+    mock_table.query.side_effect = ClientError(
+        error_response={"Error": {"Code": "ResourceNotFoundException"}}, operation_name="Query"
+    )
+
+    result = _get_all_user_sessions("test-user")
+    assert result == []
+
+
+@patch("session.lambda_functions.table")
+def test_get_all_user_sessions_general_client_error(mock_table):
+    """Test _get_all_user_sessions with general ClientError."""
+    from botocore.exceptions import ClientError
+
+    mock_table.query.side_effect = ClientError(
+        error_response={"Error": {"Code": "AccessDeniedException"}}, operation_name="Query"
+    )
+
+    result = _get_all_user_sessions("test-user")
+    assert result == []
+
+
+@patch("session.lambda_functions.table")
+@patch("session.lambda_functions.s3_resource")
+def test_delete_user_session_resource_not_found(mock_s3_resource, mock_table):
+    """Test _delete_user_session with ResourceNotFoundException."""
+    from botocore.exceptions import ClientError
+
+    mock_table.delete_item.side_effect = ClientError(
+        error_response={"Error": {"Code": "ResourceNotFoundException"}}, operation_name="DeleteItem"
+    )
+
+    result = _delete_user_session("test-session", "test-user")
+    assert result == {"deleted": False}
+
+
+@patch("session.lambda_functions.table")
+@patch("session.lambda_functions.s3_resource")
+def test_delete_user_session_general_client_error(mock_s3_resource, mock_table):
+    """Test _delete_user_session with general ClientError."""
+    from botocore.exceptions import ClientError
+
+    mock_table.delete_item.side_effect = ClientError(
+        error_response={"Error": {"Code": "AccessDeniedException"}}, operation_name="DeleteItem"
+    )
+
+    result = _delete_user_session("test-session", "test-user")
+    assert result == {"deleted": False}
+
+
+@patch("session.lambda_functions.s3_client")
+def test_generate_presigned_image_url_success(mock_s3_client):
+    """Test _generate_presigned_image_url with success."""
+    mock_s3_client.generate_presigned_url.return_value = "https://presigned-url.com"
+
+    result = _generate_presigned_image_url("test-key")
+    assert result == "https://presigned-url.com"
+
+    mock_s3_client.generate_presigned_url.assert_called_once_with(
+        "get_object",
+        Params={
+            "Bucket": "bucket",
+            "Key": "test-key",
+            "ResponseContentType": "image/png",
+            "ResponseCacheControl": "no-cache",
+            "ResponseContentDisposition": "inline",
+        },
+    )
+
+
+def test_process_image_success():
+    """Test _process_image with success."""
+    msg = {"image_url": {"s3_key": "test-key"}}
+    key = "test-key"
+
+    with patch("session.lambda_functions._generate_presigned_image_url") as mock_generate:
+        mock_generate.return_value = "https://presigned-url.com"
+
+        _process_image((msg, key))
+
+        assert msg["image_url"]["url"] == "https://presigned-url.com"
+        mock_generate.assert_called_once_with("test-key")
+
+
+def test_process_image_exception():
+    """Test _process_image with exception."""
+    msg = {"image_url": {"s3_key": "test-key"}}
+    key = "test-key"
+
+    with patch("session.lambda_functions._generate_presigned_image_url") as mock_generate:
+        mock_generate.side_effect = Exception("S3 error")
+
+        # Should not raise exception, just print error
+        _process_image((msg, key))
+
+        # URL should not be set
+        assert "url" not in msg["image_url"]
+
+
+# Encrypted Session Tests
+def test_find_first_human_message_encrypted_with_user_id():
+    """Test _find_first_human_message with encrypted session and user_id."""
+    session = {"sessionId": "test-session", "is_encrypted": True, "history": [{"type": "human", "content": "Hello"}]}
+
+    with patch("session.lambda_functions.decrypt_session_fields") as mock_decrypt:
+        decrypted_session = {
+            "sessionId": "test-session",
+            "is_encrypted": False,
+            "history": [{"type": "human", "content": "Decrypted Hello"}],
+        }
+        mock_decrypt.return_value = decrypted_session
+
+        result = _find_first_human_message(session, "test-user")
+        assert result == "Decrypted Hello"
+        mock_decrypt.assert_called_once_with(session, "test-user", "test-session")
+
+
+def test_find_first_human_message_encrypted_without_user_id():
+    """Test _find_first_human_message with encrypted session but no user_id."""
+    session = {"sessionId": "test-session", "is_encrypted": True, "history": [{"type": "human", "content": "Hello"}]}
+
+    result = _find_first_human_message(session, None)
+    assert result == "[Encrypted Session - User ID required]"
+
+
+def test_find_first_human_message_encrypted_decryption_error():
+    """Test _find_first_human_message with encrypted session decryption error."""
+    from utilities.session_encryption import SessionEncryptionError
+
+    session = {"sessionId": "test-session", "is_encrypted": True, "history": [{"type": "human", "content": "Hello"}]}
+
+    with patch("session.lambda_functions.decrypt_session_fields") as mock_decrypt:
+        mock_decrypt.side_effect = SessionEncryptionError("Decryption failed")
+
+        result = _find_first_human_message(session, "test-user")
+        assert result == "[Encrypted Session - Decryption failed]"
+
+
+def test_find_first_human_message_unencrypted_string_content():
+    """Test _find_first_human_message with unencrypted session and string content."""
+    session = {
+        "sessionId": "test-session",
+        "is_encrypted": False,
+        "history": [{"type": "human", "content": "Hello world"}],
+    }
+
+    result = _find_first_human_message(session, "test-user")
+    assert result == "Hello world"
+
+
+def test_find_first_human_message_unencrypted_list_content():
+    """Test _find_first_human_message with unencrypted session and list content."""
+    session = {
+        "sessionId": "test-session",
+        "is_encrypted": False,
+        "history": [{"type": "human", "content": [{"text": "Hello from list"}]}],
+    }
+
+    result = _find_first_human_message(session, "test-user")
+    assert result == "Hello from list"
+
+
+def test_find_first_human_message_unencrypted_list_content_with_file_context():
+    """Test _find_first_human_message with list content containing file context."""
+    session = {
+        "sessionId": "test-session",
+        "is_encrypted": False,
+        "history": [
+            {"type": "human", "content": [{"text": "File context: some file"}]},
+            {"type": "human", "content": [{"text": "Actual question"}]},
+        ],
+    }
+
+    result = _find_first_human_message(session, "test-user")
+    assert result == "Actual question"
+
+
+def test_find_first_human_message_unencrypted_unhandled_content():
+    """Test _find_first_human_message with unencrypted session and unhandled content type."""
+    session = {
+        "sessionId": "test-session",
+        "is_encrypted": False,
+        "history": [{"type": "human", "content": {"unhandled": "type"}}],
+    }
+
+    result = _find_first_human_message(session, "test-user")
+    assert result == ""
+
+
+def test_find_first_human_message_no_human_messages():
+    """Test _find_first_human_message with no human messages."""
+    session = {
+        "sessionId": "test-session",
+        "is_encrypted": False,
+        "history": [{"type": "assistant", "content": "Assistant response"}],
+    }
+
+    result = _find_first_human_message(session, "test-user")
+    assert result == ""
+
+
+@patch("session.lambda_functions.decrypt_session_fields")
+def test_get_session_encrypted_success(mock_decrypt, dynamodb_table, sample_session, lambda_context):
+    """Test get_session with encrypted session and successful decryption."""
+    # Create encrypted session
+    encrypted_session = sample_session.copy()
+    encrypted_session["is_encrypted"] = True
+    encrypted_session["encrypted_history"] = "encrypted_data"
+
+    dynamodb_table.put_item(Item=encrypted_session)
+
+    # Mock successful decryption
+    decrypted_session = sample_session.copy()
+    mock_decrypt.return_value = decrypted_session
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+    }
+
+    response = get_session(event, lambda_context)
+    assert response["statusCode"] == 200
+    body = json.loads(response["body"])
+    assert body["sessionId"] == "test-session"
+    mock_decrypt.assert_called_once()
+
+
+@patch("session.lambda_functions.decrypt_session_fields")
+def test_get_session_encrypted_decryption_error(mock_decrypt, dynamodb_table, sample_session, lambda_context):
+    """Test get_session with encrypted session and decryption error."""
+    from utilities.session_encryption import SessionEncryptionError
+
+    # Create encrypted session
+    encrypted_session = sample_session.copy()
+    encrypted_session["is_encrypted"] = True
+    encrypted_session["encrypted_history"] = "encrypted_data"
+
+    dynamodb_table.put_item(Item=encrypted_session)
+
+    # Mock decryption error
+    mock_decrypt.side_effect = SessionEncryptionError("Decryption failed")
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+    }
+
+    response = get_session(event, lambda_context)
+    assert response["statusCode"] == 500
+    body = json.loads(response["body"])
+    assert "Failed to decrypt session data" in body["error"]
+
+
+@patch("session.lambda_functions._update_session_with_current_model_config")
+def test_get_session_model_config_update(mock_update_config, dynamodb_table, sample_session, lambda_context):
+    """Test get_session with model configuration update."""
+    # Create session with configuration
+    session_with_config = sample_session.copy()
+    session_with_config["configuration"] = {"selectedModel": {"modelId": "test-model"}}
+
+    dynamodb_table.put_item(Item=session_with_config)
+
+    # Mock model config update
+    updated_config = {"selectedModel": {"modelId": "test-model", "features": ["new-feature"]}}
+    mock_update_config.return_value = updated_config
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+    }
+
+    response = get_session(event, lambda_context)
+    assert response["statusCode"] == 200
+    mock_update_config.assert_called_once()
+
+
+# Image Attachment Tests
+def test_attach_image_to_session_success(lambda_context):
+    """Test attach_image_to_session with valid image data."""
+
+    # Create a simple base64 encoded image
+    image_data = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg=="
+
+    event = {
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"message": {"type": "image_url", "image_url": {"url": image_data}}}),
+    }
+
+    with patch("session.lambda_functions.s3_client"):
+        with patch("session.lambda_functions._generate_presigned_image_url") as mock_generate:
+            mock_generate.return_value = "https://presigned-url.com"
+
+            response = attach_image_to_session(event, lambda_context)
+            assert response["statusCode"] == 200
+            body = response["body"]  # Already a dict, not JSON string
+            assert body["image_url"]["url"] == "https://presigned-url.com"
+
+
+def test_attach_image_to_session_invalid_json(lambda_context):
+    """Test attach_image_to_session with invalid JSON."""
+    event = {"pathParameters": {"sessionId": "test-session"}, "body": "invalid-json"}
+
+    response = attach_image_to_session(event, lambda_context)
+    assert response["statusCode"] == 400
+    body = json.loads(response["body"])
+    assert "Invalid JSON" in body["error"]
+
+
+def test_attach_image_to_session_missing_message(lambda_context):
+    """Test attach_image_to_session with missing message field."""
+    event = {"pathParameters": {"sessionId": "test-session"}, "body": json.dumps({})}
+
+    response = attach_image_to_session(event, lambda_context)
+    assert response["statusCode"] == 400
+    body = json.loads(response["body"])
+    assert "Missing required fields" in body["error"]
+
+
+def test_attach_image_to_session_s3_upload_error(lambda_context):
+    """Test attach_image_to_session with S3 upload error."""
+
+    image_data = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg=="
+
+    event = {
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"message": {"type": "image_url", "image_url": {"url": image_data}}}),
+    }
+
+    with patch("session.lambda_functions.s3_client") as mock_s3:
+        mock_s3.put_object.side_effect = Exception("S3 upload failed")
+
+        response = attach_image_to_session(event, lambda_context)
+        assert response["statusCode"] == 200  # Should still return success
+
+
+def test_attach_image_to_session_non_image_message(lambda_context):
+    """Test attach_image_to_session with non-image message."""
+    event = {
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"message": {"type": "text", "content": "This is not an image"}}),
+    }
+
+    response = attach_image_to_session(event, lambda_context)
+    assert response["statusCode"] == 200
+    body = response["body"]  # Already a dict, not JSON string
+    assert body["type"] == "text"
+
+
+# Rename Session Tests
+def test_rename_session_success(dynamodb_table, lambda_context):
+    """Test rename_session with valid data."""
+    # Create a session first
+    session = {"sessionId": "test-session", "userId": "test-user", "name": "Old Name"}
+    dynamodb_table.put_item(Item=session)
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"name": "New Name"}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = rename_session(event, lambda_context)
+        assert response["statusCode"] == 200
+        body = json.loads(response["body"])
+        assert "Session name updated successfully" in body["message"]
+
+
+def test_rename_session_invalid_json(lambda_context):
+    """Test rename_session with invalid JSON."""
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": "invalid-json",
+    }
+
+    response = rename_session(event, lambda_context)
+    assert response["statusCode"] == 400
+    body = json.loads(response["body"])
+    assert "Invalid JSON" in body["error"]
+
+
+def test_rename_session_missing_name(lambda_context):
+    """Test rename_session with missing name field."""
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({}),
+    }
+
+    response = rename_session(event, lambda_context)
+    assert response["statusCode"] == 400
+    body = json.loads(response["body"])
+    assert "Missing required field: name" in body["error"]
+
+
+# Put Session Edge Cases Tests
+@patch("session.lambda_functions._is_session_encryption_enabled")
+@patch("session.lambda_functions.migrate_session_to_encrypted")
+def test_put_session_encryption_enabled_success(
+    mock_migrate, mock_encryption_enabled, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with encryption enabled and successful encryption."""
+
+    # Mock encryption enabled
+    mock_encryption_enabled.return_value = True
+
+    # Mock successful encryption
+    encrypted_data = {
+        "encrypted_history": "encrypted_history_data",
+        "name": "Test Session",
+        "encrypted_configuration": "encrypted_config_data",
+        "startTime": "2024-01-01T00:00:00",
+        "createTime": "2024-01-01T00:00:00",
+        "lastUpdated": "2024-01-01T00:00:00",
+        "encryption_version": "1.0",
+        "is_encrypted": True,
+    }
+    mock_migrate.return_value = encrypted_data
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"messages": sample_session["history"], "configuration": sample_session["configuration"]}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 200
+        mock_encryption_enabled.assert_called_once()
+        mock_migrate.assert_called_once()
+
+
+@patch("session.lambda_functions._is_session_encryption_enabled")
+@patch("session.lambda_functions.migrate_session_to_encrypted")
+def test_put_session_encryption_error(
+    mock_migrate, mock_encryption_enabled, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with encryption enabled but encryption error."""
+    from utilities.session_encryption import SessionEncryptionError
+
+    # Mock encryption enabled
+    mock_encryption_enabled.return_value = True
+
+    # Mock encryption error
+    mock_migrate.side_effect = SessionEncryptionError("Encryption failed")
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"messages": sample_session["history"], "configuration": sample_session["configuration"]}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 500
+        body = json.loads(response["body"])
+        assert "Failed to encrypt session data" in body["error"]
+
+
+@patch("session.lambda_functions.get_groups")
+@patch("session.lambda_functions.sqs_client")
+def test_put_session_sqs_metrics_success(
+    mock_sqs_client, mock_get_groups, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with successful SQS metrics publishing."""
+
+    # Set environment variable for metrics queue
+    os.environ["USAGE_METRICS_QUEUE_NAME"] = "test-metrics-queue"
+
+    # Mock get_groups
+    mock_get_groups.return_value = ["group1", "group2"]
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"messages": sample_session["history"], "configuration": sample_session["configuration"]}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 200
+        mock_sqs_client.send_message.assert_called_once()
+
+
+@patch("session.lambda_functions.sqs_client")
+def test_put_session_sqs_metrics_missing_queue(
+    mock_sqs_client, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with missing USAGE_METRICS_QUEUE_NAME environment variable."""
+
+    # Remove environment variable
+    if "USAGE_METRICS_QUEUE_NAME" in os.environ:
+        del os.environ["USAGE_METRICS_QUEUE_NAME"]
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"messages": sample_session["history"], "configuration": sample_session["configuration"]}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 200
+        # SQS should not be called
+        mock_sqs_client.send_message.assert_not_called()
+
+
+@patch("session.lambda_functions.get_groups")
+@patch("session.lambda_functions.sqs_client")
+def test_put_session_sqs_metrics_error(
+    mock_sqs_client, mock_get_groups, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with SQS metrics publishing error."""
+
+    # Set environment variable for metrics queue
+    os.environ["USAGE_METRICS_QUEUE_NAME"] = "test-metrics-queue"
+
+    # Mock get_groups
+    mock_get_groups.return_value = ["group1", "group2"]
+
+    # Mock SQS error
+    mock_sqs_client.send_message.side_effect = Exception("SQS error")
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps({"messages": sample_session["history"], "configuration": sample_session["configuration"]}),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 200  # Should still succeed despite SQS error
+
+
+@patch("session.lambda_functions._update_session_with_current_model_config")
+def test_put_session_model_config_update(
+    mock_update_config, dynamodb_table, config_table, sample_session, lambda_context
+):
+    """Test put_session with model configuration update."""
+
+    # Mock model config update
+    updated_config = {"selectedModel": {"modelId": "test-model", "features": ["new-feature"]}}
+    mock_update_config.return_value = updated_config
+
+    event = {
+        "requestContext": {"authorizer": {"claims": {"username": "test-user"}}},
+        "pathParameters": {"sessionId": "test-session"},
+        "body": json.dumps(
+            {"messages": sample_session["history"], "configuration": {"selectedModel": {"modelId": "test-model"}}}
+        ),
+    }
+
+    with patch("session.lambda_functions.table", dynamodb_table):
+        response = put_session(event, lambda_context)
+        assert response["statusCode"] == 200
+        mock_update_config.assert_called_once()
diff --git a/test/lambda/test_similarity_functions.py b/test/lambda/test_similarity_functions.py
new file mode 100644
index 000000000..b12aa2cc4
--- /dev/null
+++ b/test/lambda/test_similarity_functions.py
@@ -0,0 +1,203 @@
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+import os
+import sys
+from unittest.mock import MagicMock, patch
+
+# Set up mock AWS credentials
+os.environ["AWS_ACCESS_KEY_ID"] = "testing"
+os.environ["AWS_SECRET_ACCESS_KEY"] = "testing"
+os.environ["AWS_SECURITY_TOKEN"] = "testing"
+os.environ["AWS_SESSION_TOKEN"] = "testing"
+os.environ["AWS_DEFAULT_REGION"] = "us-east-1"
+os.environ["AWS_REGION"] = "us-east-1"
+
+# Add the lambda directory to the Python path
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../../"))
+
+from repository.lambda_functions import _similarity_search, _similarity_search_with_score, delete_index
+from utilities.repository_types import RepositoryType
+
+
+def test_similarity_search():
+    """Test _similarity_search function"""
+    # Mock vector store
+    mock_vs = MagicMock()
+    mock_doc = MagicMock()
+    mock_doc.page_content = "Test content"
+    mock_doc.metadata = {"source": "test.txt"}
+    mock_vs.similarity_search_with_score.return_value = [(mock_doc, 0.8)]
+
+    result = _similarity_search(mock_vs, "test query", 5)
+
+    assert len(result) == 1
+    assert result[0]["page_content"] == "Test content"
+    assert result[0]["metadata"] == {"source": "test.txt"}
+    mock_vs.similarity_search_with_score.assert_called_once_with("test query", k=5)
+
+
+def test_similarity_search_with_score_pgvector():
+    """Test _similarity_search_with_score with PGVector repository"""
+    # Mock vector store and repository
+    mock_vs = MagicMock()
+    mock_doc = MagicMock()
+    mock_doc.page_content = "Test content"
+    mock_doc.metadata = {"source": "test.txt"}
+    mock_vs.similarity_search_with_score.return_value = [(mock_doc, 0.8)]  # cosine distance
+
+    repository = {"type": "pgvector"}
+
+    with patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type:
+        mock_is_type.return_value = True
+
+        result = _similarity_search_with_score(mock_vs, "test query", 3, repository)
+
+        assert len(result) == 1
+        assert result[0]["page_content"] == "Test content"
+        assert result[0]["metadata"]["source"] == "test.txt"
+        assert result[0]["metadata"]["similarity_score"] == 0.6  # 1 - (0.8/2)
+
+
+def test_similarity_search_with_score_opensearch():
+    """Test _similarity_search_with_score with OpenSearch repository"""
+    # Mock vector store and repository
+    mock_vs = MagicMock()
+    mock_doc = MagicMock()
+    mock_doc.page_content = "Test content"
+    mock_doc.metadata = {"source": "test.txt"}
+    mock_vs.similarity_search_with_score.return_value = [(mock_doc, 0.9)]  # similarity score
+
+    repository = {"type": "opensearch"}
+
+    with patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type:
+        mock_is_type.return_value = False  # Not PGVector
+
+        result = _similarity_search_with_score(mock_vs, "test query", 3, repository)
+
+        assert len(result) == 1
+        assert result[0]["page_content"] == "Test content"
+        assert result[0]["metadata"]["similarity_score"] == 0.9  # Direct similarity score
+
+
+def test_delete_index_opensearch():
+    """Test delete_index with OpenSearch repository"""
+    event = {
+        "pathParameters": {"repositoryId": "test-repo", "modelName": "test-model"},
+        "requestContext": {"authorizer": {"groups": "[]"}},
+    }
+    context = {}
+
+    with patch("repository.lambda_functions.vs_repo.find_repository_by_id") as mock_find_repo, patch(
+        "repository.lambda_functions.get_vector_store_client"
+    ) as mock_get_vs, patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type, patch(
+        "repository.lambda_functions.is_admin"
+    ) as mock_is_admin, patch(
+        "repository.lambda_functions.RagEmbeddings"
+    ):
+
+        mock_is_admin.return_value = True
+        mock_find_repo.return_value = {"type": "opensearch"}
+        mock_vs = MagicMock()
+        mock_vs.client.indices.exists.return_value = True
+        mock_get_vs.return_value = mock_vs
+        mock_is_type.side_effect = lambda _, repo_type: repo_type == RepositoryType.OPENSEARCH
+
+        delete_index(event, context)
+
+        mock_vs.client.indices.exists.assert_called_once_with(index="test-model")
+        mock_vs.client.indices.delete.assert_called_once_with(index="test-model")
+
+
+def test_delete_index_opensearch_index_not_exists():
+    """Test delete_index with OpenSearch when index doesn't exist"""
+    event = {
+        "pathParameters": {"repositoryId": "test-repo", "modelName": "test-model"},
+        "requestContext": {"authorizer": {"groups": "[]"}},
+    }
+    context = {}
+
+    with patch("repository.lambda_functions.vs_repo.find_repository_by_id") as mock_find_repo, patch(
+        "repository.lambda_functions.get_vector_store_client"
+    ) as mock_get_vs, patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type, patch(
+        "repository.lambda_functions.is_admin"
+    ) as mock_is_admin, patch(
+        "repository.lambda_functions.RagEmbeddings"
+    ):
+
+        mock_is_admin.return_value = True
+        mock_find_repo.return_value = {"type": "opensearch"}
+        mock_vs = MagicMock()
+        mock_vs.client.indices.exists.return_value = False
+        mock_get_vs.return_value = mock_vs
+        mock_is_type.side_effect = lambda _, repo_type: repo_type == RepositoryType.OPENSEARCH
+
+        delete_index(event, context)
+
+        mock_vs.client.indices.exists.assert_called_once_with(index="test-model")
+        mock_vs.client.indices.delete.assert_not_called()
+
+
+def test_delete_index_pgvector():
+    """Test delete_index with PGVector repository"""
+    event = {
+        "pathParameters": {"repositoryId": "test-repo", "modelName": "test-model"},
+        "requestContext": {"authorizer": {"groups": "[]"}},
+    }
+    context = {}
+
+    with patch("repository.lambda_functions.vs_repo.find_repository_by_id") as mock_find_repo, patch(
+        "repository.lambda_functions.get_vector_store_client"
+    ) as mock_get_vs, patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type, patch(
+        "repository.lambda_functions.is_admin"
+    ) as mock_is_admin, patch(
+        "repository.lambda_functions.RagEmbeddings"
+    ):
+
+        mock_is_admin.return_value = True
+        mock_find_repo.return_value = {"type": "pgvector"}
+        mock_vs = MagicMock()
+        mock_get_vs.return_value = mock_vs
+        mock_is_type.side_effect = lambda _, repo_type: repo_type == RepositoryType.PGVECTOR
+
+        delete_index(event, context)
+
+        mock_vs.delete_collection.assert_called_once()
+
+
+def test_delete_index_exception():
+    """Test delete_index handles exceptions"""
+    event = {
+        "pathParameters": {"repositoryId": "test-repo", "modelName": "test-model"},
+        "requestContext": {"authorizer": {"groups": "[]"}},
+    }
+    context = {}
+
+    with patch("repository.lambda_functions.vs_repo.find_repository_by_id") as mock_find_repo, patch(
+        "repository.lambda_functions.get_vector_store_client"
+    ) as mock_get_vs, patch("repository.lambda_functions.RepositoryType.is_type") as mock_is_type, patch(
+        "repository.lambda_functions.is_admin"
+    ) as mock_is_admin, patch(
+        "repository.lambda_functions.RagEmbeddings"
+    ):
+
+        mock_is_admin.return_value = True
+        mock_find_repo.return_value = {"type": "opensearch"}
+        mock_vs = MagicMock()
+        mock_vs.client.indices.exists.side_effect = Exception("Connection error")
+        mock_get_vs.return_value = mock_vs
+        mock_is_type.side_effect = lambda _, repo_type: repo_type == RepositoryType.OPENSEARCH
+
+        # Should not raise exception
+        delete_index(event, context)
diff --git a/test/python/README.md b/test/python/README.md
new file mode 100644
index 000000000..01da39448
--- /dev/null
+++ b/test/python/README.md
@@ -0,0 +1,126 @@
+# LISA Integration Tests
+
+This directory contains integration tests for the LISA (Large Language Model Infrastructure for Scalable Applications) project.
+
+## Files
+
+- `integration-test.sh` - Original integration test that runs the lisa-sdk pytest suite
+- `integration-setup-test.sh` - New integration test that deploys LISA resources
+- `integration-setup-test.py` - Python script for resource deployment testing
+
+## Integration Setup Test
+
+The `integration-setup-test.sh` script creates and optionally cleans up LISA resources for testing purposes. This script is designed to test the full deployment pipeline including:
+
+1. **Bedrock Model** - Creates a Claude 3 Haiku model configuration using Amazon Bedrock
+2. **Self-Hosted Model** - Deploys a Llama 2 7B model using LISA's self-hosting capabilities
+3. **PGVector Repository** - Creates a PostgreSQL vector store for RAG operations
+4. **OpenSearch Repository** - Creates an OpenSearch cluster for vector storage
+
+### Usage
+
+The script uses the same authentication setup as the original `integration-test.sh` and automatically reads configuration from `config-custom.yaml`.
+
+#### Basic Usage
+
+```bash
+# Deploy resources with automatic cleanup
+./test/python/integration-setup-test.sh --cleanup
+
+# Deploy resources and wait for them to be ready
+./test/python/integration-setup-test.sh --wait
+
+# Deploy resources, wait for readiness, then clean up
+./test/python/integration-setup-test.sh --wait --cleanup
+```
+
+#### Advanced Usage
+
+```bash
+# Specify custom API endpoints
+./test/python/integration-setup-test.sh --rest-url https://your-api.com --cleanup
+
+# Disable SSL verification for development
+./test/python/integration-setup-test.sh --verify false --cleanup
+```
+
+### Command Line Options
+
+- `--rest-url, -r` - URL to the LISA REST API (auto-detected from CloudFormation if not provided)
+- `--verify, -v` - SSL certificate verification ('true' or 'false', defaults to 'false')
+- `--cleanup, -c` - Clean up all created resources after deployment
+- `--wait, -w` - Wait for resources to reach ready state before completing
+- `--help, -h` - Display help message
+
+### Prerequisites
+
+1. **AWS Configuration**: Ensure AWS credentials are configured with appropriate permissions for LISA deployment
+2. **LISA Deployment**: A running LISA instance with API endpoints accessible
+3. **Configuration File**: Valid `config-custom.yaml` with deployment settings
+4. **Dependencies**: Python 3 and required packages (automatically handled by lisa-sdk)
+
+### What Gets Created
+
+The test creates the following resources with predictable names for easy identification:
+
+- **Models:**
+  - `bedrock-claude-v3-haiku` - Bedrock Claude 3 Haiku model
+  - `self-hosted-llama2-7b` - Self-hosted Llama 2 7B model
+
+- **Repositories:**
+  - `test-pgvector-repo` - PGVector repository with new RDS instance
+  - `test-opensearch-repo` - OpenSearch repository with new cluster
+
+### Resource Lifecycle
+
+#### Without --cleanup flag:
+Resources remain deployed for manual testing and must be cleaned up through:
+- LISA UI (Model Management and Configuration pages)
+- Running the script again with `--cleanup`
+- Manual AWS resource deletion
+
+#### With --cleanup flag:
+All created resources are automatically deleted at the end of the test run.
+
+#### With --wait flag:
+Script monitors resource deployment status and waits up to 30 minutes for each resource to become ready. Useful for validating full deployment pipeline.
+
+### Exit Codes
+
+- `0` - Success (all resources created and optionally cleaned up)
+- `1` - Failure (resource creation failed or other error)
+
+### Examples
+
+```bash
+# Quick test - deploy and immediately clean up
+./test/python/integration-setup-test.sh -c
+
+# Full integration test - deploy, wait for ready, then clean up
+./test/python/integration-setup-test.sh -w -c
+
+# Deploy for manual testing (resources remain)
+./test/python/integration-setup-test.sh
+
+# Clean up resources from previous test
+./test/python/integration-setup-test.sh -c
+```
+
+## SDK Extensions
+
+The integration setup test includes new SDK functions in the lisa-sdk package:
+
+### Model Management
+- `create_bedrock_model()` - Create Bedrock model configurations
+- `create_self_hosted_model()` - Deploy self-hosted models with full configuration
+- `delete_model()` - Remove models from LISA
+- `get_model()` - Retrieve model details and status
+
+### Repository Management
+- `create_repository()` - Generic repository creation
+- `create_pgvector_repository()` - Create PGVector repositories with RDS
+- `create_opensearch_repository()` - Create OpenSearch repositories with clusters
+- `delete_repository()` - Remove repositories and associated resources
+- `get_repository_status()` - Check repository deployment status
+
+These functions provide comprehensive programmatic access to LISA's resource management capabilities and can be used in other automation scripts and applications.
diff --git a/test/python/integration-setup-test.py b/test/python/integration-setup-test.py
new file mode 100644
index 000000000..df24065ee
--- /dev/null
+++ b/test/python/integration-setup-test.py
@@ -0,0 +1,665 @@
+#!/usr/bin/env python3
+#   Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License").
+#   You may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+
+"""
+Integration test script that deploys resources to LISA.
+This script creates:
+- A Bedrock model
+- A self-hosted model
+- A PGVector repository
+- An OpenSearch repository
+"""
+
+import argparse
+import os
+import sys
+import time
+from typing import Any, Dict
+
+import boto3
+
+# Add lisa-sdk to path
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../../lisa-sdk"))
+
+from lisapy.api import LisaApi
+from lisapy.types import BedrockModelRequest, ModelRequest
+
+DEFAULT_EMBEDDING_MODEL_ID = "e5-embed"
+RAG_PIPELINE_BUCKET = "lisa-rag-pipeline"
+
+
+def get_management_key(deployment_name: str) -> str:
+    """Retrieve management key from AWS Secrets Manager.
+
+    Args:
+        deployment_name: The LISA deployment name
+
+    Returns:
+        str: The management API key
+    """
+    secret_name = f"{deployment_name}-lisa-management-key"
+
+    try:
+        secrets_client = boto3.client("secretsmanager")
+        response = secrets_client.get_secret_value(SecretId=secret_name)
+        # Secret is stored as a plain string, not JSON
+        api_key = response["SecretString"]
+        return api_key
+    except Exception as e:
+        print(f"✗ Failed to retrieve management key from {secret_name}: {e}")
+        raise
+
+
+def create_api_token(deployment_name: str, api_key: str) -> str:
+    """Create an API token in DynamoDB with expiration.
+
+    Args:
+        deployment_name: The LISA deployment name
+        api_key: The management API key
+
+    Returns:
+        str: The created API token
+    """
+    try:
+        dynamodb = boto3.resource("dynamodb")
+        table_name = f"{deployment_name}-LISAApiTokenTable"
+        table = dynamodb.Table(table_name)
+
+        # Create token with 1 hour expiration (matching conftest.py)
+        current_time = int(time.time())
+        expiration_time = current_time + 3600  # 1 hour
+
+        # Put item in DynamoDB (using same structure as conftest.py)
+        item = {"token": api_key, "tokenExpiration": expiration_time}
+        table.put_item(Item=item)
+
+        print(f"✓ Created API token with expiration: {expiration_time}")
+        return api_key  # Return the API key itself for authentication
+
+    except Exception as e:
+        print(f"✗ Failed to create API token: {e}")
+        raise
+
+
+def setup_authentication(deployment_name: str) -> Dict[str, str]:
+    """Set up authentication for LISA API calls.
+
+    Args:
+        deployment_name: The LISA deployment name
+
+    Returns:
+        Dict[str, str]: Authentication headers
+    """
+    print(f"🔑 Setting up authentication for deployment: {deployment_name}")
+
+    # Get management key from AWS Secrets Manager
+    api_key = get_management_key(deployment_name)
+
+    # Create API token in DynamoDB (optional - for tracking purposes)
+    try:
+        create_api_token(deployment_name, api_key)
+    except Exception as e:
+        print(f"⚠️  Failed to create DynamoDB token (proceeding anyway): {e}")
+
+    # Return authentication headers (same as conftest.py)
+    headers = {"Api-Key": api_key, "Authorization": api_key}
+
+    print("✓ Authentication setup completed")
+    print(f"✓ Using API key: {api_key[:8]}...")  # Show first 8 chars for debugging
+    return headers
+
+
+def wait_for_resource_ready(
+    lisa_client: LisaApi, resource_type: str, resource_id: str, check_func, max_wait_minutes: int = 30
+) -> bool:
+    """Wait for a resource to be ready/deployed.
+
+    Args:
+        lisa_client: LISA client instance
+        resource_type: Type of resource (model, repository)
+        resource_id: ID of the resource
+        check_func: Function to check if resource is ready
+        max_wait_minutes: Maximum minutes to wait
+
+    Returns:
+        bool: True if resource is ready, False if timeout
+    """
+    print(f"Waiting for {resource_type} '{resource_id}' to be ready...")
+
+    max_iterations = max_wait_minutes * 4  # Check every 15 seconds
+    for i in range(max_iterations):
+        try:
+            if check_func(resource_id):
+                print(f"✓ {resource_type} '{resource_id}' is ready!")
+                return True
+        except Exception as e:
+            print(f"  Check failed: {e}")
+
+        if i < max_iterations - 1:
+            print(f"  Still waiting... ({i+1}/{max_iterations})")
+            time.sleep(15)
+
+    print(f"✗ Timeout waiting for {resource_type} '{resource_id}' to be ready")
+    return False
+
+
+def check_model_ready(lisa_client: LisaApi, model_id: str) -> bool:
+    """Check if a model is ready (InService status)."""
+    try:
+        model = lisa_client.get_model(model_id)
+        status = model.get("status", "Unknown")
+        print(f"    Model status: {status}")
+        return status == "InService"
+    except Exception:
+        return False
+
+
+def check_repository_ready(lisa_client: LisaApi, repository_id: str) -> bool:
+    """Check if a repository is ready by checking status."""
+    try:
+        status = lisa_client.get_repository_status()
+        repo_status = status.get(repository_id, "Unknown")
+        print(f"    Repository status: {repo_status}")
+        # Repository is ready when it's not in Creating or Failed state
+        return repo_status not in ["Creating", "Failed", "Unknown"]
+    except Exception:
+        return False
+
+
+def model_exists(lisa_client: LisaApi, model_id: str) -> bool:
+    """Check if a model already exists."""
+    try:
+        lisa_client.get_model(model_id)
+        return True
+    except Exception:
+        return False
+
+
+def repository_exists(lisa_client: LisaApi, repository_id: str) -> bool:
+    """Check if a repository already exists."""
+    try:
+        lisa_client.get_repository(repository_id)
+        return True
+    except Exception:
+        return False
+
+
+def create_bedrock_model(lisa_client: LisaApi, model_id: str, model_name: str) -> Dict[str, Any]:
+    """Create a Bedrock model configuration."""
+
+    # Check if model already exists
+    if model_exists(lisa_client, model_id):
+        print(f"\n⏭️  Bedrock model '{model_id}' already exists, skipping creation")
+        return {"modelId": model_id}
+
+    print(f"\n🚀 Creating Bedrock model '{model_id}'...")
+
+    bedrock_model_request: BedrockModelRequest = {
+        "autoScalingConfig": None,
+        "containerConfig": None,
+        "inferenceContainer": None,
+        "instanceType": None,
+        "loadBalancerConfig": None,
+        "modelId": model_id,
+        "modelName": model_name,
+        "modelDescription": "",
+        "modelType": "textgen",
+        "modelUrl": "",
+        "streaming": True,
+        "features": [{"name": "summarization", "overview": ""}, {"name": "imageInput", "overview": ""}],
+        "allowedGroups": None,
+    }
+
+    try:
+        result = lisa_client.create_bedrock_model(bedrock_model_request)
+        print(f"✓ Bedrock model created: {result}")
+
+        # Handle case where response doesn't contain modelId
+        if result is None or not isinstance(result, dict):
+            result = {"modelId": bedrock_model_request["modelId"]}
+        elif "modelId" not in result:
+            result["modelId"] = bedrock_model_request["modelId"]
+
+        return result
+    except Exception as e:
+        print(f"✗ Failed to create Bedrock model: {e}")
+        raise
+
+
+def create_self_hosted_embedded_model(
+    lisa_client: LisaApi,
+    model_id: str,
+    model_name: str,
+    base_image: str = "ghcr.io/huggingface/text-embeddings-inference:latest",
+) -> Dict[str, Any]:
+    """Create a self-hosted embedded model configuration."""
+
+    # Check if model already exists
+    if model_exists(lisa_client, model_id):
+        print(f"\n⏭️  Self-hosted embedded model '{model_id}' already exists, skipping creation")
+        return {"modelId": model_id}
+
+    print(f"\n🚀 Creating self-hosted embedded model '{model_id}'...")
+
+    self_hosted_embedded_model_request: ModelRequest = {
+        "autoScalingConfig": {
+            "blockDeviceVolumeSize": 50,
+            "minCapacity": 1,
+            "maxCapacity": 1,
+            "cooldown": 420,
+            "defaultInstanceWarmup": 180,
+            "metricConfig": {
+                "albMetricName": "RequestCountPerTarget",
+                "targetValue": 30,
+                "duration": 60,
+                "estimatedInstanceWarmup": 330,
+            },
+        },
+        "containerConfig": {
+            "image": {"baseImage": base_image, "type": "asset"},
+            "sharedMemorySize": 2048,
+            "healthCheckConfig": {
+                "command": ["CMD-SHELL", "exit 0"],
+                "interval": 10,
+                "startPeriod": 30,
+                "timeout": 5,
+                "retries": 3,
+            },
+            "environment": {
+                "MAX_BATCH_TOKENS": "16384",
+                "MAX_CONCURRENT_REQUESTS": "512",
+                "MAX_CLIENT_BATCH_SIZE": "1024",
+            },
+        },
+        "inferenceContainer": "tei",
+        "instanceType": "g5.xlarge",
+        "loadBalancerConfig": {
+            "healthCheckConfig": {
+                "path": "/health",
+                "interval": 60,
+                "timeout": 30,
+                "healthyThresholdCount": 2,
+                "unhealthyThresholdCount": 10,
+            }
+        },
+        "modelId": model_id,
+        "modelName": model_name,
+        "modelDescription": f"Testing model for {model_name}",
+        "modelType": "embedding",
+        "streaming": False,
+        "features": [],
+        "allowedGroups": None,
+    }
+
+    try:
+        result = lisa_client.create_self_hosted_embedded_model(self_hosted_embedded_model_request)
+        print(f"✓ Self-hosted embedded model created: {result}")
+
+        # Handle case where response doesn't contain modelId
+        if result is None or not isinstance(result, dict):
+            result = {"modelId": self_hosted_embedded_model_request["modelId"]}
+        elif "modelId" not in result:
+            result["modelId"] = self_hosted_embedded_model_request["modelId"]
+
+        return result
+    except Exception as e:
+        print(f"✗ Failed to create self-hosted embedded model: {e}")
+        raise
+
+
+def create_self_hosted_model(
+    lisa_client: LisaApi, model_id: str, model_name: str, base_image: str = "vllm/vllm-openai:latest"
+) -> Dict[str, Any]:
+    """Create a self-hosted model configuration."""
+
+    # Check if model already exists
+    if model_exists(lisa_client, model_id):
+        print(f"\n⏭️  Self-hosted model '{model_id}' already exists, skipping creation")
+        return {"modelId": model_id}
+
+    print(f"\n🚀 Creating self-hosted model '{model_id}'...")
+
+    # Get available instances
+    instances = lisa_client.list_instances()
+    if not instances:
+        raise Exception("No EC2 instances available for self-hosted model")
+
+    # Use the first available instance type that supports GPU workloads
+    gpu_instances = [inst for inst in instances if "g5" in inst.lower() or "p3" in inst.lower() or "p4" in inst.lower()]
+    instance_type = gpu_instances[0] if gpu_instances else instances[0]
+    print(f"  Using instance type: {instance_type}")
+    self_hosted_model_request: ModelRequest = {
+        "autoScalingConfig": {
+            "blockDeviceVolumeSize": 50,
+            "minCapacity": 1,
+            "maxCapacity": 1,
+            "cooldown": 420,
+            "defaultInstanceWarmup": 180,
+            "metricConfig": {
+                "albMetricName": "RequestCountPerTarget",
+                "targetValue": 30,
+                "duration": 60,
+                "estimatedInstanceWarmup": 330,
+            },
+        },
+        "containerConfig": {
+            "image": {"baseImage": base_image, "type": "asset"},
+            "sharedMemorySize": 2048,
+            "healthCheckConfig": {
+                "command": ["CMD-SHELL", "exit 0"],
+                "interval": 10,
+                "startPeriod": 30,
+                "timeout": 5,
+                "retries": 3,
+            },
+            "environment": {"MAX_TOTAL_TOKENS": "8192", "MAX_CONCURRENT_REQUESTS": "128", "MAX_INPUT_LENGTH": "32768"},
+        },
+        "inferenceContainer": "vllm",
+        "instanceType": "g5.xlarge",
+        "loadBalancerConfig": {
+            "healthCheckConfig": {
+                "path": "/health",
+                "interval": 60,
+                "timeout": 30,
+                "healthyThresholdCount": 2,
+                "unhealthyThresholdCount": 10,
+            }
+        },
+        "modelId": model_id,
+        "modelName": model_name,
+        "modelDescription": None,
+        "modelType": "textgen",
+        "streaming": True,
+        "features": [{"name": "summarization", "overview": ""}, {"name": "imageInput", "overview": ""}],
+        "allowedGroups": None,
+    }
+
+    try:
+        result = lisa_client.create_self_hosted_model(self_hosted_model_request)
+        print(f"✓ Self-hosted model created: {result}")
+
+        # Handle case where response doesn't contain modelId
+        if result is None or not isinstance(result, dict):
+            result = {"modelId": self_hosted_model_request["modelId"]}
+        elif "modelId" not in result:
+            result["modelId"] = self_hosted_model_request["modelId"]
+
+        return result
+    except Exception as e:
+        print(f"✗ Failed to create self-hosted model: {e}")
+        raise
+
+
+def create_pgvector_repository(lisa_client: LisaApi, embedding_model_id: str = None) -> Dict[str, Any]:
+    """Create a PGVector repository."""
+    repository_id = "test-pgvector-rag"
+
+    # Check if repository already exists
+    if repository_exists(lisa_client, repository_id):
+        print(f"\n⏭️  PGVector repository '{repository_id}' already exists, skipping creation")
+        return {"repositoryId": repository_id}
+
+    print(f"\n🚀 Creating PGVector repository '{repository_id}'...")
+
+    try:
+        rag_config = {
+            "repositoryId": repository_id,
+            "embeddingModelId": DEFAULT_EMBEDDING_MODEL_ID,
+            "type": "pgvector",
+            "rdsConfig": {
+                "username": "postgres",
+                "passwordSecretId": "",
+                "dbHost": "",
+                "dbName": "postgres",
+                "dbPort": 5432,
+            },
+            "bedrockKnowledgeBaseConfig": {
+                "bedrockKnowledgeBaseName": "",
+                "bedrockKnowledgeBaseId": "",
+                "bedrockKnowledgeDatasourceName": "",
+                "bedrockKnowledgeDatasourceId": "",
+                "bedrockKnowledgeDatasourceS3Bucket": "",
+            },
+            "pipelines": [
+                {
+                    "chunkSize": 512,
+                    "chunkOverlap": 51,
+                    "embeddingModel": DEFAULT_EMBEDDING_MODEL_ID,
+                    "s3Bucket": RAG_PIPELINE_BUCKET,
+                    "s3Prefix": "",
+                    "trigger": "event",
+                    "autoRemove": True,
+                }
+            ],
+            "allowedGroups": [],
+        }
+        result = lisa_client.create_pgvector_repository(rag_config)
+        print(f"✓ PGVector repository created: {result}")
+
+        # Handle case where response doesn't contain repositoryId
+        if result is None or not isinstance(result, dict):
+            result = {"repositoryId": rag_config["repositoryId"]}
+        elif "repositoryId" not in result:
+            result["repositoryId"] = rag_config["repositoryId"]
+
+        return result
+    except Exception as e:
+        print(f"✗ Failed to create PGVector repository: {e}")
+        raise
+
+
+def create_opensearch_repository(lisa_client: LisaApi, embedding_model_id: str = None) -> Dict[str, Any]:
+    """Create an OpenSearch repository."""
+    repository_id = "test-opensearch-rag"
+
+    # Check if repository already exists
+    if repository_exists(lisa_client, repository_id):
+        print(f"\n⏭️  OpenSearch repository '{repository_id}' already exists, skipping creation")
+        return {"repositoryId": repository_id}
+
+    print(f"\n🚀 Creating OpenSearch repository '{repository_id}'...")
+
+    try:
+        rag_config = {
+            "repositoryId": repository_id,
+            "embeddingModelId": DEFAULT_EMBEDDING_MODEL_ID,
+            "type": "opensearch",
+            "opensearchConfig": {"endpoint": ""},
+            "rdsConfig": {
+                "username": "postgres",
+                "passwordSecretId": "",
+                "dbHost": "",
+                "dbName": "postgres",
+                "dbPort": 5432,
+            },
+            "bedrockKnowledgeBaseConfig": {
+                "bedrockKnowledgeBaseName": "",
+                "bedrockKnowledgeBaseId": "",
+                "bedrockKnowledgeDatasourceName": "",
+                "bedrockKnowledgeDatasourceId": "",
+                "bedrockKnowledgeDatasourceS3Bucket": "",
+            },
+            "pipelines": [
+                {
+                    "chunkSize": 512,
+                    "chunkOverlap": 51,
+                    "embeddingModel": DEFAULT_EMBEDDING_MODEL_ID,
+                    "s3Bucket": RAG_PIPELINE_BUCKET,
+                    "s3Prefix": "",
+                    "trigger": "event",
+                    "autoRemove": True,
+                }
+            ],
+            "allowedGroups": [],
+        }
+        result = lisa_client.create_repository(rag_config)
+        print(f"✓ OpenSearch repository created: {result}")
+
+        # Handle case where response doesn't contain repositoryId
+        if result is None or not isinstance(result, dict):
+            result = {"repositoryId": rag_config["repositoryId"]}
+        elif "repositoryId" not in result:
+            result["repositoryId"] = rag_config["repositoryId"]
+
+        return result
+    except Exception as e:
+        print(f"✗ Failed to create OpenSearch repository: {e}")
+        raise
+
+
+def cleanup_resources(lisa_client: LisaApi, created_resources: Dict[str, list]):
+    """Clean up created resources."""
+    print("\n🧹 Cleaning up created resources...")
+
+    # Clean up models
+    for model_id in created_resources.get("models", []):
+        try:
+            lisa_client.delete_model(model_id)
+            print(f"✓ Deleted model: {model_id}")
+        except Exception as e:
+            print(f"✗ Failed to delete model {model_id}: {e}")
+
+    # Clean up repositories
+    for repo_id in created_resources.get("repositories", []):
+        try:
+            lisa_client.delete_repository(repo_id)
+            print(f"✓ Deleted repository: {repo_id}")
+        except Exception as e:
+            print(f"✗ Failed to delete repository {repo_id}: {e}")
+
+
+def main():
+    """Main test function."""
+    parser = argparse.ArgumentParser(description="LISA Integration Setup Test")
+    parser.add_argument("--url", required=True, help="LISA ALB URL")
+    parser.add_argument("--api", required=True, help="LISA API URL")
+    parser.add_argument("--deployment-name", required=True, help="LISA deployment name for authentication")
+    parser.add_argument("--verify", default="false", help="Verify SSL certificates")
+    parser.add_argument("--profile", help="AWS profile to use")
+    parser.add_argument("--cleanup", action="store_true", help="Clean up resources after test")
+    parser.add_argument("--wait", action="store_true", help="Wait for resources to be ready")
+
+    args = parser.parse_args()
+
+    # Convert verify to boolean
+    verify_ssl = args.verify.lower() not in ["false", "0", "no", "off"]
+
+    print("🚀 LISA Integration Setup Test Starting...")
+    print(f"ALB URL: {args.url}")
+    print(f"API URL: {args.api}")
+    print(f"Deployment Name: {args.deployment_name}")
+    print(f"Verify SSL: {verify_ssl}")
+    print(f"AWS Profile: {args.profile}")
+
+    try:
+        # Setup authentication
+        auth_headers = setup_authentication(args.deployment_name)
+
+        # Initialize LISA client with authentication
+        lisa_client = LisaApi(url=args.api, verify=verify_ssl, headers=auth_headers)
+
+        created_resources = {"models": [], "repositories": []}
+
+        # Get an embedding model for repositories
+        embedding_models = lisa_client.list_embedding_models()
+        embedding_model_id = None
+        if embedding_models:
+            embedding_model_id = embedding_models[0].get("modelId")
+            print(f"Using embedding model: {embedding_model_id}")
+        else:
+            print("⚠️  No embedding models found, repositories will be created without default embedding model")
+
+        models = []
+        # # 1. Create Bedrock model
+        models.append(create_bedrock_model(lisa_client, "nova-lite", "bedrock/us.amazon.nova-lite-v1:0"))
+        models.append(
+            create_bedrock_model(lisa_client, "sonnet-4", "bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0")
+        )
+
+        # # 2. Create self-hosted model
+        models.append(
+            create_self_hosted_model(lisa_client, "mistral-7b-instruct-03", "mistralai/Mistral-7B-Instruct-v0.3")
+        )
+        models.append(create_self_hosted_model(lisa_client, "llama-32-3b", "meta-llama/Llama-3.2-3B"))
+
+        # # 3. Create self-hosted embedded model
+        models.append(
+            create_self_hosted_embedded_model(lisa_client, DEFAULT_EMBEDDING_MODEL_ID, "intfloat/e5-large-v2")
+        )
+        models.append(create_self_hosted_embedded_model(lisa_client, "qwen3-embed-06b", "Qwen/Qwen3-Embedding-0.6B"))
+        models.append(create_self_hosted_embedded_model(lisa_client, "baai-embed-15", "BAAI/bge-large-en-v1.5"))
+
+        for model in models:
+            created_resources["models"].append(model["modelId"])
+
+        # # 4. Create PGVector repository
+        pgvector_repo = create_pgvector_repository(lisa_client, embedding_model_id)
+        created_resources["repositories"].append(pgvector_repo["repositoryId"])
+
+        # # # 5. Create OpenSearch repository
+        opensearch_repo = create_opensearch_repository(lisa_client, embedding_model_id)
+        created_resources["repositories"].append(opensearch_repo["repositoryId"])
+
+        print("\n✅ All resources created successfully!")
+        print("Created resources:")
+        print(f"  Models: {created_resources['models']}")
+        print(f"  Repositories: {created_resources['repositories']}")
+
+        # Wait for resources to be ready if requested
+        if args.wait:
+            print("\n⏳ Waiting for resources to be ready...")
+
+            all_ready = True
+
+            # Wait for models
+            for model_id in created_resources["models"]:
+                if not wait_for_resource_ready(
+                    lisa_client, "model", model_id, lambda mid: check_model_ready(lisa_client, mid)
+                ):
+                    all_ready = False
+
+            # Wait for repositories
+            for repo_id in created_resources["repositories"]:
+                if not wait_for_resource_ready(
+                    lisa_client, "repository", repo_id, lambda rid: check_repository_ready(lisa_client, rid)
+                ):
+                    all_ready = False
+
+            if all_ready:
+                print("\n🎉 All resources are ready!")
+            else:
+                print("\n⚠️  Some resources may not be ready yet")
+
+        # Clean up if requested
+        if args.cleanup:
+            cleanup_resources(lisa_client, created_resources)
+            print("\n🧹 Cleanup completed!")
+        else:
+            print("\n💡 To clean up resources later, run this script with --cleanup flag")
+            print("   Or manually delete the resources through the LISA UI")
+
+        print("\n✅ Integration setup test completed successfully!")
+        return 0
+
+    except Exception as e:
+        print(f"\n❌ Integration setup test failed: {e}")
+        import traceback
+
+        traceback.print_exc()
+        return 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/test/python/integration-setup-test.sh b/test/python/integration-setup-test.sh
new file mode 100755
index 000000000..73aa11125
--- /dev/null
+++ b/test/python/integration-setup-test.sh
@@ -0,0 +1,153 @@
+#!/bin/bash
+# Integration setup test script that deploys resources to LISA
+# Uses the existing authentication setup from integration-test.sh
+
+PROJECT_DIR="$(pwd)"
+
+# Read config values with defaults for missing fields
+PROFILE=$(cat ${PROJECT_DIR}/config-custom.yaml | yq -r '.profile // "default"')
+REGION=$(cat ${PROJECT_DIR}/config-custom.yaml | yq -r '.region // "us-west-2"')
+DEPLOYMENT_NAME=$(cat ${PROJECT_DIR}/config-custom.yaml | yq -r '.deploymentName // "prod"')
+APP_NAME=$(cat ${PROJECT_DIR}/config-custom.yaml | yq -r '.appName // "lisa"')
+DEPLOYMENT_STAGE=$(cat ${PROJECT_DIR}/config-custom.yaml | yq -r '.deploymentStage // "prod"')
+
+# Override with null check and provide defaults
+if [ "$PROFILE" = "null" ]; then
+  PROFILE="default"
+fi
+
+if [ "$REGION" = "null" ]; then
+  REGION="us-east-1"
+fi
+
+if [ "$DEPLOYMENT_NAME" = "null" ]; then
+  DEPLOYMENT_NAME="lisa"
+fi
+
+if [ "$APP_NAME" = "null" ]; then
+  APP_NAME="lisa"
+fi
+
+if [ "$DEPLOYMENT_STAGE" = "null" ]; then
+  DEPLOYMENT_STAGE="dev"
+fi
+
+# Default values
+CLEANUP=false
+WAIT=false
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --alb-url|-a)
+      ALB_URL="$2"
+      shift 2
+      ;;
+    --rest-url|-r)
+      API_URL="$2"
+      shift 2
+      ;;
+    --verify|-v)
+      VERIFY="$2"
+      shift 2
+      ;;
+    --cleanup|-c)
+      CLEANUP=true
+      shift
+      ;;
+    --wait|-w)
+      WAIT=true
+      shift
+      ;;
+    --help|-h)
+      echo "Usage: $0 [OPTIONS]"
+      echo "Options:"
+      echo "  --rest-url, -r         URL to the LISA REST API."
+      echo "  --verify, -v           Path to cert, the strings 'false' or 'true'."
+      echo "  --cleanup, -c          Clean up resources after creation."
+      echo "  --wait, -w             Wait for resources to be ready."
+      echo "  --help, -h             Display this help message."
+      exit 0
+      ;;
+    *)
+      echo "Unknown option: $1"
+      exit 1
+      ;;
+  esac
+done
+
+if [ -z $VERIFY ]; then
+  VERIFY=false
+fi
+
+echo "Using settings: PROFILE-${PROFILE}, DEPLOYMENT_NAME-${DEPLOYMENT_NAME}, APP_NAME-${APP_NAME}, DEPLOYMENT_STAGE-${DEPLOYMENT_STAGE}, REGION-${REGION}, VERIFY-${VERIFY}, API_URL-${API_URL}, ALB_URL-${ALB_URL}"
+
+if [ -z "$ALB_URL" ]; then
+  echo "Grabbing ALB from SSM..."
+  ALB_URL=$(aws ssm get-parameter \
+      --name "/${DEPLOYMENT_STAGE}/${DEPLOYMENT_NAME}/${APP_NAME}/lisaServeRestApiUri" \
+      --query "Parameter.Value" \
+      --output text 2>/dev/null || echo "")
+
+  if [ -z "$ALB_URL" ] || [ "$ALB_URL" = "None" ]; then
+    echo "⚠️  Could not retrieve ALB URL from SSM. You may need to provide it manually with --alb-url"
+    ALB_URL=""
+  else
+    echo "Using ALB: ${ALB_URL}"
+  fi
+fi
+
+if [ -z "$API_URL" ]; then
+  echo "Grabbing API from CFN..."
+  API_URL=$(aws cloudformation describe-stacks --stack-name ${DEPLOYMENT_NAME}-${APP_NAME}-api-deployment-${DEPLOYMENT_STAGE} --region ${REGION} \
+        --query "Stacks[0].Outputs[?OutputKey=='ApiUrl'].OutputValue" --output text 2>/dev/null || echo "")
+
+  if [ -z "$API_URL" ] || [ "$API_URL" = "None" ]; then
+    echo "⚠️  Could not retrieve API URL from CloudFormation. You may need to provide it manually with --rest-url"
+    API_URL=""
+  else
+    echo "Using API: ${API_URL}"
+  fi
+fi
+
+# Validate required URLs
+if [ -z "$ALB_URL" ] || [ -z "$API_URL" ]; then
+  echo ""
+  echo "❌ Error: Required URLs are missing!"
+  echo ""
+  echo "ALB URL: ${ALB_URL:-'NOT SET'}"
+  echo "API URL: ${API_URL:-'NOT SET'}"
+  echo ""
+  echo "Please provide URLs manually:"
+  echo "  $0 --alb-url <ALB_URL> --rest-url <API_URL>"
+  echo ""
+  echo "Example:"
+  echo "  $0 --alb-url https://your-alb.elb.amazonaws.com --rest-url https://your-api.execute-api.us-west-2.amazonaws.com"
+  echo ""
+  exit 1
+fi
+
+# Construct Python script arguments
+PYTHON_ARGS="--url $ALB_URL --api $API_URL --deployment-name $DEPLOYMENT_NAME --verify $VERIFY"
+
+if [ ! -z "$PROFILE" ]; then
+  PYTHON_ARGS="$PYTHON_ARGS --profile $PROFILE"
+fi
+
+if [ "$CLEANUP" = true ]; then
+  PYTHON_ARGS="$PYTHON_ARGS --cleanup"
+fi
+
+if [ "$WAIT" = true ]; then
+  PYTHON_ARGS="$PYTHON_ARGS --wait"
+fi
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+PYTHON_SCRIPT="${SCRIPT_DIR}/integration-setup-test.py"
+
+echo ""
+echo "🚀 Running integration setup test..."
+echo "Command: python3 $PYTHON_SCRIPT $PYTHON_ARGS"
+echo ""
+
+# Run the Python integration setup test
+python3 "$PYTHON_SCRIPT" $PYTHON_ARGS