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If you’re experiencing excessive logging for single LLM interactions, you can use the suppress_instrumentation function to temporarily disable all future instrumentation. 
from atla_insights import suppress_instrumentation

# This will suppress all future instrumentation
suppress_instrumentation()
Once you run this command, it will suppress all future instrumentation, which should reduce the volume of records being logged.

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Conditional instrumentation

You can also conditionally suppress instrumentation based on your application logic: 
from atla_insights import suppress_instrumentation
import os

# Only suppress in development
if os.getenv("ENVIRONMENT") == "development":
    suppress_instrumentation()

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Context-specific suppression

For more granular control, you might want to suppress instrumentation around specific operations: 
from atla_insights import suppress_instrumentation, configure

def batch_process_data(data_items):
    # Suppress instrumentation for batch operations
    suppress_instrumentation()
    
    for item in data_items:
        process_item(item)  # This won't be traced
    
    # Re-enable for other operations
    configure(token="<YOUR_TOKEN>")  # Re-configure to re-enable
suppress_instrumentation() disables all future instrumentation globally. Make sure this is the behavior you want, or consider using sampling or conditional logic instead.

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Re-enabling Instrumentation

To re-enable instrumentation after suppressing it, simply reconfigure Atla: 
from atla_insights import configure

# Re-enable instrumentation
configure(token="<YOUR_ATLA_INSIGHTS_TOKEN>")
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