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Copy file name to clipboardExpand all lines: explore-analyze/elastic-inference/eis.md
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% TO DO: Link to the EIS inference endpoint reference docs when it's added to the OpenAPI spec. (Comming soon) %
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## Available task types
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EIS offers the following {{infer}} task types to perform:
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*`chat_completion`
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## AI features powered by EIS [ai-features-powered-by-eis]
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Your Elastic deployment or project comes with a default `Elastic LLM` connector. This connector is used in the AI Assistant, Attack Discovery, Automatic Import and Search Playground.
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% TO DO: Link to the EIS inference endpoint reference docs when it's added to the OpenAPI spec. (Comming soon) %
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## Available task types
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EIS offers the following {{infer}} task types to perform:
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*`chat_completion`
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## Default EIS endpoints [default-eis-inference-endpoints]
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Your {{es}} deployment includes a preconfigured EIS endpoint, making it easier to use chat completion via the {{infer}} API:
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% TO DO: Link to the AI assistant documentation in the different solutions and possibly connector docs. %
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## Regions [eis-regions]
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All EIS requests are handled by one of these AWS regions:
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*`us-east-1`
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*`us-west-2`
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For more details on AWS regions, refer to the [AWS Global Infrastructure](https://aws.amazon.com/about-aws/global-infrastructure/regions_az/).
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## Examples
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### Examples
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The following example demonstrates how to perform a `chat_completion` task through EIS by using the `.rainbow-sprinkles-elastic` default {{infer}} endpoint.
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The request returns the following response as a stream:
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