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Build with grounded search monitoring
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Overview
Torale executes scheduled web searches, evaluates results against trigger conditions, and stores execution history. Grounded search combines Google Search with LLM evaluation for source-backed monitoring.
Example
python
from torale import ToraleClient
client = ToraleClient()
# Create a monitoring task
task = client.tasks.create(
search_query="When is the iPhone 17 being released?",
condition_description="Apple has announced a specific release date",
schedule="0 9 * * *" # Daily at 9 AM
)
# Check results
executions = client.tasks.get_executions(task.id)
if executions[0].condition_met:
print(executions[0].result["answer"])Interfaces
- Python SDK - Client library for Python applications
- CLI - Command-line interface
- REST API - API reference