stack kb observabilityaiassistant observability-ai-assistant-chat-complete cli command
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Preview
Preview
Stack
Preview
Preview
elastic stack kb observabilityaiassistant observability-ai-assistant-chat-complete \
--connector-id <connector-id> \
--messages <messages> \
--persist \
[options]
Generate a chat completion
Behaviour flags:
--dry-run — validate all inputs and exit without performing any action
--connector-idstringrequired- A unique identifier for the connector.
--messagesstring[]required-
An array of message objects containing the conversation history.
Repeatable: pass
--messagesmultiple times to supply more than one value --persistrequired- Indicates whether the conversation should be saved to storage. If true, the conversation will be saved and will be available in Kibana.
--actionsstring[]-
Repeatable: pass
--actionsmultiple times to supply more than one value --conversation-idstring- A unique identifier for the conversation if you are continuing an existing conversation.
--disable-functions- Flag indicating whether all function calls should be disabled for the conversation. If true, no calls to functions will be made.
--instructionsstring[]-
An array of instruction objects, which can be either simple strings or detailed objects.
Repeatable: pass
--instructionsmultiple times to supply more than one value --titlestring- A title for the conversation.
--input-filestring- path to a JSON file to use as command input
--dry-run- validate all inputs and exit without performing any action (preview changes without applying them)
--no-validate- skip input validation and send the request as-is
--output-fieldsstring- comma-separated list of fields to include in output (dot-notation supported)
--output-templatestring- Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")
--json-
output as JSON