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Databricks Serving Serving Endpoints Put Ai Gateway

Tool to update AI Gateway configuration of a Databricks serving endpoint. Use when you need to configure traffic fallback, AI guardrails, payload logging, rate limits, or usage tracking. Supports external model, provisioned throughput, and pay-per-token endpoints; agent endpoint…

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API key connection
Use Databricks Serving Serving Endpoints Put Ai Gateway

Pricing and limits

Pricing
Free
Unified payment
Not currently supported

Inputs

  • idstring
    Required
    The name of the serving endpoint whose AI Gateway is being updated
  • guardrailsobject
    Configuration for AI Guardrails to prevent unwanted data in requests and responses.
  • rate_limitsarray
    Configuration for rate limits to control endpoint traffic and prevent overuse
  • fallback_configobject
    Configuration for traffic fallback which auto fallbacks to other served entities.
  • usage_tracking_configobject
    Configuration to enable usage tracking using system tables.
  • inference_table_configobject
    Configuration for payload logging using inference tables.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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