Merge pull request #702 from microsoft/dev-v4

feat: Introducing v4 with Agentic-Framework

Author: Roopan-Microsoft

.github/workflows/agnext-biab-02-containerimage.yml

@@ -21,7 +21,7 @@ jobs:
       #   run: |
       #     curl -fsSL ${{ vars.AUTOGEN_WHL_URL }} -o agnext-biab-02/autogen_core-0.3.dev0-py3-none-any.whl
       - name: Log in to the Container registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           registry: ${{ env.REGISTRY }}
           username: ${{ github.actor }}

.github/workflows/codeql.yml

@@ -61,7 +61,7 @@ jobs:
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
+      uses: github/codeql-action/init@v4
       with:
         languages: ${{ matrix.language }}
         build-mode: ${{ matrix.build-mode }}
@@ -89,6 +89,6 @@ jobs:
         exit 1
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
+      uses: github/codeql-action/analyze@v4
       with:
         category: "/language:${{matrix.language}}"

.github/workflows/create-release.yml

@@ -18,7 +18,7 @@ jobs:
         with:
           ref: ${{ github.event.workflow_run.head_sha }}
 
-      - uses: codfish/semantic-release-action@v3
+      - uses: codfish/semantic-release-action@v4
         id: semantic
         with:
           tag-format: 'v${version}'

.github/workflows/deploy-waf.yml

@@ -1,4 +1,4 @@
-name: Validate WAF Deployment v3
+name: Validate WAF Deployment v4
 
 on:
   push:
@@ -16,7 +16,7 @@ jobs:
       GPT41_MINI_MIN_CAPACITY: 1
     steps:
       - name: Checkout Code
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       - name: Run Quota Check
         id: quota-check

.github/workflows/deploy.yml

@@ -1,13 +1,13 @@
-name: Validate Deployment v3
+name: Validate Deployment v4
 
 on:
   workflow_run:
-    workflows: ["Build Docker and Optional Push v3"]
+    workflows: ["Build Docker and Optional Push v4"]
     types:
       - completed
     branches:
       - main
-      - dev-v3
+      - dev-v4
       - hotfix
   schedule:
     - cron: "0 11,23 * * *" # Runs at 11:00 AM and 11:00 PM GMT
@@ -29,7 +29,7 @@ jobs:
       CONTAINER_APP: ${{steps.get_backend_url.outputs.CONTAINER_APP}}
     steps:
       - name: Checkout Code
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       - name: Run Quota Check
         id: quota-check
@@ -120,9 +120,9 @@ jobs:
         id: deploy
         run: |
           if [[ "${{ env.BRANCH_NAME }}" == "main" ]]; then
-            IMAGE_TAG="latest_v3"
-          elif [[ "${{ env.BRANCH_NAME }}" == "dev-v3" ]]; then
-            IMAGE_TAG="dev_v3"
+            IMAGE_TAG="latest_v4"
+          elif [[ "${{ env.BRANCH_NAME }}" == "dev-v4" ]]; then
+            IMAGE_TAG="dev_v4"
           elif [[ "${{ env.BRANCH_NAME }}" == "hotfix" ]]; then
             IMAGE_TAG="hotfix"
           else

.github/workflows/docker-build-and-push.yml

@@ -1,11 +1,11 @@
-name: Build Docker and Optional Push v3
+name: Build Docker and Optional Push v4
 
 on:
   push:
     branches:
       - main
-      - dev-v3
-      - demo-v3
+      - dev-v4
+      - demo-v4
       - hotfix
   pull_request:
     types:
@@ -15,8 +15,8 @@ on:
       - synchronize
     branches:
       - main
-      - dev-v3
-      - demo-v3
+      - dev-v4
+      - demo-v4
       - hotfix
   workflow_dispatch:
 
@@ -32,7 +32,7 @@ jobs:
         uses: docker/setup-buildx-action@v1
 
       - name: Log in to Azure Container Registry
-        if: ${{ github.ref_name == 'main' || github.ref_name == 'dev-v3'|| github.ref_name == 'demo-v3' || github.ref_name == 'hotfix' }}
+        if: ${{ github.ref_name == 'main' || github.ref_name == 'dev-v4'|| github.ref_name == 'demo-v4' || github.ref_name == 'hotfix' }}
         uses: azure/docker-login@v2
         with:
           login-server: ${{ secrets.ACR_LOGIN_SERVER || 'acrlogin.azurecr.io' }}
@@ -52,11 +52,11 @@ jobs:
         id: determine_tag
         run: |
           if [[ "${{ github.ref }}" == "refs/heads/main" ]]; then
-            echo "TAG=latest_v3" >> $GITHUB_ENV
-          elif [[ "${{ github.ref }}" == "refs/heads/dev-v3" ]]; then
-            echo "TAG=dev_v3" >> $GITHUB_ENV
-          elif [[ "${{ github.ref }}" == "refs/heads/demo-v3" ]]; then
-            echo "TAG=demo_v3" >> $GITHUB_ENV
+            echo "TAG=latest_v4" >> $GITHUB_ENV
+          elif [[ "${{ github.ref }}" == "refs/heads/dev-v4" ]]; then
+            echo "TAG=dev_v4" >> $GITHUB_ENV
+          elif [[ "${{ github.ref }}" == "refs/heads/demo-v4" ]]; then
+            echo "TAG=demo_v4" >> $GITHUB_ENV
           elif [[ "${{ github.ref }}" == "refs/heads/hotfix" ]]; then
             echo "TAG=hotfix" >> $GITHUB_ENV
           else

.github/workflows/pylint.yml

@@ -12,7 +12,7 @@ jobs:
       - uses: actions/checkout@v4
 
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v3
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
 

.github/workflows/test.yml

@@ -26,7 +26,7 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       - name: Set up Python
         uses: actions/setup-python@v4

.gitignore

@@ -337,7 +337,7 @@ PublishScripts/
 !**/packages/build/
 # Uncomment if necessary however generally it will be regenerated when needed
 #!**/packages/repositories.config
-# NuGet v3's project.json files produces more ignorable files
+# NuGet v4's project.json files produces more ignorable files
 *.nuget.props
 *.nuget.targets
 

README.md

@@ -36,7 +36,7 @@ The solution leverages Azure OpenAI Service, Azure Container Apps, Azure Cosmos
 
 ### Additional resources
 
-[Semantic Kernel Documentation](https://learn.microsoft.com/en-us/semantic-kernel/)
+[Agent Framework Documentation](https://learn.microsoft.com/en-us/agent-framework//)
 
 [Azure AI Foundry Documentation](https://learn.microsoft.com/en-us/azure/ai-foundry/)
 
@@ -148,6 +148,19 @@ By using the *Multi-Agent Custom Automation Engine* solution accelerator, users
 
 </details>
 
+### Use Case
+<details>
+  <summary>Click to learn more about what use cases this solution provides</summary>
+
+| Use Case | Persona   | Challenges | Summary/Approach | 
+|----------|-----------|------------|------------------|
+| Product Marketing | Marketing Executive | Marketing release plans require input from multiple teams (engineering, design, compliance), which often leads to delays and misalignment. Traditional planning involves repetitive tasks like drafting timelines, assigning owners, and validating compliance, which are prone to mistakes. | Through an agentic approach the Multi-agent speeds up release planning by automating repetitive tasks and enhances collaboration with dynamic agent teams that adapt to campaign needs. |
+| Onboarding Employee | HR Manager | Traditional onboarding involves multiple disconnected steps—HR paperwork, IT setup, compliance training—which often require manual coordination and lead to delays. Manual steps slow collaboration and increase overhead, reducing efficiency and employee experience. | Designed to streamline the complex process of bringing new hires into an organization using a modular, agentic architecture. |
+| Retail Remediation | Customer Success Manager | This approach is seeking a smarter way to manage workflows and ensure customer satisfaction. Challenges include difficulty engaging the right agents, inefficiencies from manual processes, fragmented data, and limited security controls. | Using the Multi-Agent Custom Automation Engine, the Customer Success Manager recruits intelligent agents to analyze satisfaction and recommend steps for remediation. The platform’s modular design and reasoning capabilities allow for analyzing dependencies, planning transitions, and reducing manual rework. |
+| RFP Reviewer  | VP of Finance  | Reviewing RFPs manually under tight deadlines is challenging. Compliance checks and risk assessments slow progress, leaving critical gaps and delaying decisions. | Multi-Agent RFP Reviewer is an intelligent platform addresses these issues by deploying AI agents to review RFPs, identify risks, recommend remediation, and execute actions seamlessly - transforming a labor-intensive process into a fast, accurate, and compliant workflow. |
+
+</details>
+
 <br /><br />
 
 <h2><img src="./docs/images/readme/supporting-documentation.png" width="48" />