Grounding with Bing search - Run failed: {'code': 'server_error', 'message': 'Sorry, something went wrong.'}

Name: azure-ai-projects
Version: 1.0.0
- **Operating System: windows
- **Python Version**: Python 3.13.5

**Describe the bug**

i have created the agent with help of following steps:https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/bing-code-samples?view=foundry-classic&pivots=python

**To Reproduce use this code**

import os
from dotenv import load_dotenv
from azure.ai.projects import AIProjectClient
from azure.identity import DefaultAzureCredential
from azure.ai.agents.models import BingGroundingTool
load_dotenv()
project_endpoint = os.environ["PROJECT_ENDPOINT"]

# Create an AIProjectClient instance
project_client = AIProjectClient(
endpoint=project_endpoint,
credential=DefaultAzureCredential() # Use Azure Default Credential for authentication
)
conn_id = os.environ["BING_CONNECTION_ID"]
# Initialize the Bing Grounding tool
bing = BingGroundingTool(connection_id=conn_id)

with project_client:
# Create an agent with the Bing Grounding tool
agent = project_client.agents.create_agent(
model=os.environ["MODEL_DEPLOYMENT_NAME"], # Model deployment name
name="my-agent1", # Name of the agent
instructions="You are a helpful agent", # Instructions for the agent
tools=bing.definitions, # Attach the Bing Grounding tool
)
print(f"Created agent, ID: {agent.id}")
# Create a thread for communication
thread = project_client.agents.threads.create()
print(f"Created thread, ID: {thread.id}")

# Add a message to the thread
message = project_client.agents.messages.create(
thread_id=thread.id,
role="user", # Role of the message sender
content="What is the weather in Seattle today?", # Message content
)
print(f"Created message, ID: {message['id']}")
# Create and process an agent run
run = project_client.agents.runs.create_and_process(
thread_id=thread.id,
agent_id=agent.id,
# tool_choice={"type": "bing_grounding"} # optional, you can force the model to use Grounding with Bing Search tool
)
print(f"Run finished with status: {run.status}")

# Check if the run failed
if run.status == "failed":
print(f"Run failed: {run.last_error}")

# Fetch and log all messages
messages = project_client.agents.messages.list(thread_id=thread.id)
for message in messages:
print(f"Role: {message.role}, Content: {message.content}")

project_client.agents.delete_agent(agent.id)
print("Deleted agent")

**Expected behavior**
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