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Fix Agent Service Notebook infinite loop when using Azure Function tools #83

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Fix Agent Service Notebook infinite loop when using Azure Function tools #83

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66fa89f
Initial plan
Copilot Jun 27, 2025
545ee66
Fix Agent Service Notebook REQUIRES_ACTION infinite loop issue
Copilot Jun 27, 2025
0d7dea0
Clean up duplicate imports in fixed Agent Service Notebook
Copilot Jun 27, 2025
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70 changes: 65 additions & 5 deletions 2-notebooks/2-agent_service/6-agents-az-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -128,7 +128,7 @@
"\n",
"from azure.identity import DefaultAzureCredential\n",
"from azure.ai.projects import AIProjectClient\n",
"from azure.ai.projects.models import AzureFunctionTool, AzureFunctionStorageQueue, MessageRole\n",
"from azure.ai.projects.models import AzureFunctionTool, AzureFunctionStorageQueue, MessageRole, SubmitToolOutputsAction, RequiredFunctionToolCall, ToolOutput\n",
"\n",
"# Load env variables from .env in parent dir\n",
"notebook_path = Path().absolute()\n",
Expand Down Expand Up @@ -243,15 +243,75 @@
" print(f\"💬 Created user message, ID: {message.id}\")\n",
"\n",
" # 3) Create and process agent run\n",
" run = project_client.agents.create_and_process_run(\n",
" run = project_client.agents.create_run(\n",
" thread_id=thread.id,\n",
" agent_id=agent_id\n",
" )\n",
" print(f\"🤖 Run finished with status: {run.status}\")\n",
" print(f\"🤖 Created run, ID: {run.id}\")\n",
" \n",
" # 4) Poll for run completion with proper REQUIRES_ACTION handling\n",
" max_retries = 60 # Maximum wait time in seconds\n",
" retry_count = 0\n",
" \n",
" while run.status in [\"queued\", \"in_progress\", \"requires_action\"]:\n",
" time.sleep(1) # Wait 1 second between status checks\n",
" run = project_client.agents.get_run(\n",
" thread_id=thread.id,\n",
" run_id=run.id\n",
" )\n",
" print(f\"📊 Run status: {run.status}\")\n",
" \n",
" retry_count += 1\n",
" if retry_count >= max_retries:\n",
" print(\"⏰ Run timed out after 60 seconds\")\n",
" break\n",
" \n",
" # Handle REQUIRES_ACTION status for Azure Function tools\n",
" if run.status == \"requires_action\":\n",
" if hasattr(run, \"required_action\") and isinstance(run.required_action, SubmitToolOutputsAction):\n",
" tool_calls = run.required_action.submit_tool_outputs.tool_calls\n",
" if not tool_calls:\n",
" print(\"❌ No tool calls found in required action\")\n",
" break\n",
" \n",
" print(f\"🔧 Processing {len(tool_calls)} tool call(s)...\")\n",
" tool_outputs = []\n",
" \n",
" for tool_call in tool_calls:\n",
" if isinstance(tool_call, RequiredFunctionToolCall):\n",
" print(f\"🔧 Executing tool call: {tool_call.function.name}\")\n",
" \n",
" # For Azure Function tools, we need to wait for the function to process\n",
" # the message from the input queue and respond via output queue.\n",
" # The actual function execution happens asynchronously.\n",
" # We'll provide a simple acknowledgment as output.\n",
" tool_output = f\"Azure Function {tool_call.function.name} call initiated with arguments: {tool_call.function.arguments}\"\n",
" \n",
" tool_outputs.append(\n",
" ToolOutput(\n",
" tool_call_id=tool_call.id,\n",
" output=tool_output\n",
" )\n",
" )\n",
" \n",
" if tool_outputs:\n",
" print(f\"📤 Submitting {len(tool_outputs)} tool output(s)...\")\n",
" run = project_client.agents.submit_tool_outputs_to_run(\n",
" thread_id=thread.id,\n",
" run_id=run.id,\n",
" tool_outputs=tool_outputs\n",
" )\n",
" print(f\"✅ Tool outputs submitted, run status: {run.status}\")\n",
" else:\n",
" print(\"❌ REQUIRES_ACTION status but no valid required_action found\")\n",
" break\n",
" \n",
" print(f\"🏁 Run finished with status: {run.status}\")\n",
" \n",
" if run.status == \"failed\":\n",
" print(f\"Run failed: {run.last_error}\")\n",
" print(f\"❌ Run failed: {run.last_error}\")\n",
"\n",
" # 4) Retrieve messages\n",
" # 5) Retrieve messages\n",
" messages = project_client.agents.list_messages(thread_id=thread.id)\n",
" print(\"\\n🗣️ Conversation:\")\n",
" for m in reversed(messages.data): # oldest first\n",
Expand Down
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