Azure Bing Grounding

Use the bundled Python script to perform grounded searches using Azure Foundry's Agent Service and the Bing Grounding Search Tool.

Requirements

1. Required Python packages:

```bash

pip install azure-identity azure-ai-agents

```

1. Authentication:
• Ensure Azure CLI is logged in (az login), OR
• Set Azure Service Principal / Managed Identity credentials compatible with DefaultAzureCredential or ClientSecretCredential.

1. Environment Variables:

Add the following to your ~/.openclaw/.env file or export them in your shell:

```bash

# Your Azure AI Foundry project endpoint

FOUNDRY_PROJECT_ENDPOINT="https://.ai.azure.com/api/projects/"

# The ID of the Bing Grounding connection in your Azure AI Foundry Project

BING_PROJECT_CONNECTION_ID=""

# Default model deployment name (optional, defaults to gpt-4o)

FOUNDRY_MODEL_DEPLOYMENT_NAME="gpt-4o"

# (Optional) Service Principal Credentials if not using DefaultAzureCredential

AZURE_TENANT_ID=""

AZURE_CLIENT_ID=""

AZURE_CLIENT_SECRET=""

```

Commands

Run from the OpenClaw workspace:

# Raw JSON output (default)
python3 {baseDir}/scripts/bing_grounding.py --query "What is the latest AI news today?"

# Markdown human-readable output
python3 {baseDir}/scripts/bing_grounding.py --query "What is the latest AI news today?" --format md

# Use a specific model deployment (default is gpt-4o)
python3 {baseDir}/scripts/bing_grounding.py --query "Weather in Seattle?" --model "gpt-4o-mini"

Output

Returns a generated response synthesized by the Azure AI Agent based on Bing Search results, along with the source URL citations.