Error when importing processors in an ingest pipeline for inference model #198946
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bug
Fixes for quality problems that affect the customer experience
Team:Monitoring
Stack Monitoring team
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Kibana version: 8.15.3 ELK Cloud
Elasticsearch version: 8.15.3 ELK Cloud
Server OS version: ELK Cloud
Browser version: Google chrome
Browser OS version: Versión 130.0.6723.92 (Build oficial) (64 bits)
Original install method (e.g. download page, yum, from source, etc.):
Describe the bug:
Issue Description:
When attempting to import the following processors into an ingest pipeline in Elastic Kibana, an error prevents the page from loading properly, displaying the message: "Unable to load page. Try refreshing the page to resolve the issue."
Steps to Reproduce:
Create an ingest pipeline in Kibana using the JSON configuration for processors shown below.
Attempt to execute the pipeline or review the processed data.
{ "description": "", "processors": [ { "remove": { "field": "ml.inference.product_name", "ignore_missing": true } }, { "inference": { "field_map": { "product_name": "text_field" }, "model_id": ".multilingual-e5-small_linux-x86_64", "on_failure": [ { "append": { "field": "_source._ingest.inference_errors", "allow_duplicates": false, "value": [ { "message": "Processor 'inference' in pipeline 'ml.inference.test-_multilingual-e5-small_linux-x86_64' failed for field 'product_name' with message '{{ _ingest.on_failure_message }}'", "pipeline": "ml.inference.test-_multilingual-e5-small_linux-x86_64", "timestamp": "{{{ _ingest.timestamp }}}" } ] } } ], "target_field": "ml.inference.product_name" } }, { "remove": { "field": "ml.inference.description", "ignore_missing": true } }, { "inference": { "field_map": { "description": "text_field" }, "model_id": ".multilingual-e5-small_linux-x86_64", "on_failure": [ { "append": { "field": "_source._ingest.inference_errors", "allow_duplicates": false, "value": [ { "message": "Processor 'inference' in pipeline 'ml.inference.test-_multilingual-e5-small_linux-x86_64' failed for field 'description' with message '{{ _ingest.on_failure_message }}'", "pipeline": "ml.inference.test-_multilingual-e5-small_linux-x86_64", "timestamp": "{{{ _ingest.timestamp }}}" } ] } } ], "target_fieldERROR
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