add function calling example and logic apps workflow

.gitignore

@@ -373,7 +373,7 @@ tfplan
 *.crt
 *.pub
 id_rsa
-.vscode/
+
 python/expense-classification-guidance/.env
 
 python/expense-classification-guidance/.idea/
@@ -389,3 +389,5 @@ sandbox/usecases/rag/dotnet/.env
 sandbox/notebooks/prompt-engineering/dotnet/.env
 
 sandbox/prompt-engineering/notebooks/prompt-engineering/dotnet/.env
+
+.vscode/settings.json

.vscode/extensions.json

@@ -0,0 +1,6 @@
+{
+  "recommendations": [
+    "ms-azuretools.vscode-azurefunctions",
+    "ms-python.python"
+  ]
+}

.vscode/launch.json

@@ -0,0 +1,39 @@
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": ".NET Core Launch (web)",
+            "type": "coreclr",
+            "request": "launch",
+            "preLaunchTask": "build",
+            "program": "${workspaceFolder}/dotnet/recommendation-service/bin/Debug/net7.0/GBB.Miyagi.RecommendationService.dll",
+            "args": [
+                "--verbose"
+            ],
+            "cwd": "${workspaceFolder}/dotnet/recommendation-service",
+            "stopAtEntry": false,
+            "serverReadyAction": {
+                "action": "openExternally",
+                "pattern": "\\bNow listening on:\\s+(https?://\\S+)"
+            },
+            "env": {
+                "ASPNETCORE_ENVIRONMENT": "Development"
+            },
+            "sourceFileMap": {
+                "/Views": "${workspaceFolder}/Views"
+            }
+        },
+        {
+            "name": ".NET Core Attach",
+            "type": "coreclr",
+            "request": "attach"
+        },
+        {
+            "name": "Attach to Python Functions",
+            "type": "python",
+            "request": "attach",
+            "port": 9091,
+            "preLaunchTask": "func: host start"
+        }
+    ]
+}

.vscode/tasks.json

@@ -0,0 +1,69 @@
+{
+    "version": "2.0.0",
+    "tasks": [
+        {
+            "label": "build",
+            "command": "dotnet",
+            "type": "process",
+            "args": [
+                "build",
+                "${workspaceFolder}/dotnet/recommendation-service/GBB.Miyagi.RecommendationService.csproj",
+                "/property:GenerateFullPaths=true",
+                "/consoleloggerparameters:NoSummary"
+            ],
+            "problemMatcher": "$msCompile"
+        },
+        {
+            "label": "publish",
+            "command": "dotnet",
+            "type": "process",
+            "args": [
+                "publish",
+                "${workspaceFolder}/dotnet/recommendation-service/GBB.Miyagi.RecommendationService.csproj",
+                "/property:GenerateFullPaths=true",
+                "/consoleloggerparameters:NoSummary"
+            ],
+            "problemMatcher": "$msCompile"
+        },
+        {
+            "label": "watch",
+            "command": "dotnet",
+            "type": "process",
+            "args": [
+                "watch",
+                "run",
+                "--project",
+                "${workspaceFolder}/dotnet/recommendation-service/GBB.Miyagi.RecommendationService.csproj"
+            ],
+            "problemMatcher": "$msCompile"
+        },
+        {
+            "type": "func",
+            "label": "func: host start",
+            "command": "host start",
+            "problemMatcher": "$func-python-watch",
+            "isBackground": true,
+            "dependsOn": "pip install (functions)",
+            "options": {
+                "cwd": "${workspaceFolder}/sandbox\\agents\\plugins"
+            }
+        },
+        {
+            "label": "pip install (functions)",
+            "type": "shell",
+            "osx": {
+                "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
+            },
+            "windows": {
+                "command": "${config:azureFunctions.pythonVenv}\\Scripts\\python -m pip install -r requirements.txt"
+            },
+            "linux": {
+                "command": "${config:azureFunctions.pythonVenv}/bin/python -m pip install -r requirements.txt"
+            },
+            "problemMatcher": [],
+            "options": {
+                "cwd": "${workspaceFolder}/sandbox\\agents\\plugins"
+            }
+        }
+    ]
+}

sandbox/agents/assistants-api/azure-openai/.env.sample

@@ -1,3 +1,4 @@
 OPENAI_API_KEY=<your-api-key>
 OPENAI_MODEL_NAME=<your-model-name>
-OPENAI_ENDPOINT=<your-endpoint>
+OPENAI_ENDPOINT=<your-endpoint>
+DATA_COLLECTION_LOGIC_APPS_URI=<your-logic-app-workflow-uri>

sandbox/agents/assistants-api/azure-openai/azure_ai_util.py

@@ -0,0 +1,110 @@
+# azure_ai_utils.py
+import io
+import matplotlib.pyplot as plt
+from typing import Iterable
+from pathlib import Path
+from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
+
+# Import AzureOpenAI and assistant-related Message classes
+from openai import AzureOpenAI
+from openai.types.beta.threads.message_content_image_file import MessageContentImageFile
+from openai.types.beta.threads.message_content_text import MessageContentText
+from openai.types.beta.threads.messages import MessageFile
+
+
+class NotCompletedException(Exception):
+    """Custom exception for handling incomplete run statuses."""
+    pass
+
+
+class AzureAIUtils:
+    """
+    A utility class for various Azure AI operations including
+    message formatting, file uploading, and lifecycle status checking.
+    """
+
+    def __init__(self, client: AzureOpenAI):
+        """
+        Initialize the utility class with an AzureOpenAI client.
+
+        Parameters:
+        client (AzureOpenAI): An instance of the AzureOpenAI client.
+        """
+        self.client = client
+
+    def format_response(self, messages: Iterable[MessageFile]) -> None:
+        """
+        Formats and prints the content of messages from AzureOpenAI.
+
+        Parameters:
+        messages (Iterable[MessageFile]): An iterable of MessageFile objects.
+        """
+        message_list = []
+
+        for message in messages:
+            message_list.append(message)
+            if message.role == "user":
+                break
+
+        message_list.reverse()
+
+        for message in message_list:
+            for item in message.content:
+                if isinstance(item, MessageContentText):
+                    print(f"{message.role}:\n{item.text.value}\n")
+                elif isinstance(item, MessageContentImageFile):
+                    try:
+                        response_content = self.client.files.content(
+                            item.image_file.file_id
+                        )
+                        data_in_bytes = response_content.read()
+                        readable_buffer = io.BytesIO(data_in_bytes)
+                        image = plt.imread(readable_buffer, format="jpeg")
+                        plt.imshow(image)
+                        plt.axis("off")
+                        plt.show()
+                    except Exception as e:
+                        print(f"Exception: {e}")
+
+    def upload_file(self, path: Path):
+        """
+        Uploads a file to AzureOpenAI.
+
+        Parameters:
+        path (Path): The path to the file to be uploaded.
+
+        Returns:
+        FileObject: The file object created in AzureOpenAI.
+        """
+        with path.open("rb") as f:
+            return self.client.files.create(file=f, purpose="assistants")
+
+    @retry(
+        stop=stop_after_attempt(15),
+        wait=wait_exponential(multiplier=1.5, min=4, max=20),
+        retry=retry_if_exception_type(NotCompletedException),
+    )
+    def get_run_lifecycle_status(self, thread_id, run_id):
+        """
+        Retrieves and prints the lifecycle status of a run and
+        retries based on specific conditions.
+
+        Parameters:
+        thread_id: The ID of the thread.
+        run_id: The ID of the run.
+
+        Returns:
+        The run object if its status is 'completed', 'failed', 'expired', or 'cancelled'.
+
+        Raises:
+        NotCompletedException: If the run is not yet completed.
+        """
+        run = self.client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run_id)
+        print(f"Run status: {run.status}")
+        if run.status in ["completed", "failed", "expired", "cancelled"]:
+            print(f"Run info: {run}")
+            return run
+        elif run.status == "requires_action":
+            pass  # Handle cases that require action differently
+        else:
+            raise NotCompletedException("Run not completed yet")