azure-bing-grounding

# 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 ``` 2. Authentication: - Ensure Azure CLI is logged in (`az login`), OR - Set Azure Service Principal / Managed Identity credentials compatible with `DefaultAzureCredential` or `ClientSecretCredential`. 3. 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://<your-resource>.ai.azure.com/api/projects/<your-project>" # The ID of the Bing Grounding connection in your Azure AI Foundry Project BING_PROJECT_CONNECTION_ID="<your-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="<tenant-id>" AZURE_CLIENT_ID="<client-id>" AZURE_CLIENT_SECRET="<client-secret>" ``` ## Commands Run from the OpenClaw workspace: ```bash # 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.