[Streams] Add note about LLM connector requirements (#3723)

This PR closes #3697. I'm linking to Security docs at the moment because
there is no other place that appropriately lays out these steps. With
the AI assistant docs updates coming this month, we may have to update
these links.

Author: mdbirnstiehl

solutions/observability/streams/management/extract.md

@@ -26,7 +26,7 @@ Streams supports the following processors:
 
 - [**Date**](./extract/date.md): Converts date strings into timestamps, with options for timezone, locale, and output formatting.
 - [**Dissect**](./extract/dissect.md): Extracts fields from structured log messages using defined delimiters instead of patterns, making it faster than Grok and ideal for consistently formatted logs.
-- [**Grok**](./extract/grok.md): Extracts fields from unstructured log messages using predefined or custom patterns, supports multiple match attempts in sequence, and can automatically generate patterns with an LLM connector.
+- [**Grok**](./extract/grok.md): Extracts fields from unstructured log messages using predefined or custom patterns, supports multiple match attempts in sequence, and can automatically generate patterns with an [LLM connector](../../../security/ai/set-up-connectors-for-large-language-models-llm.md).
 - [**Set**](./extract/set.md): Assigns a specific value to a field, creating the field if it doesn’t exist or overwriting its value if it does.
 - [**Rename**](./extract/rename.md): Changes the name of a field, moving its value to a new field name and removing the original.
 - [**Append**](./extract/append.md): Adds a value to an existing array field, or creates the field as an array if it doesn’t exist.

solutions/observability/streams/management/extract/grok.md

@@ -39,7 +39,7 @@ The previous pattern can then be used in the processor.
 
 ## Generate patterns [streams-grok-patterns]
 :::{note}
-Requires an LLM Connector to be configured.
+This feature requires an [LLM connector](../../../../security/ai/set-up-connectors-for-large-language-models-llm.md).
 :::
 
 Instead of writing the Grok patterns by hand, you can use the **Generate Patterns** button to generate the patterns for you.

solutions/observability/streams/management/significant-events.md

@@ -10,5 +10,5 @@ Significant Events periodically runs a query on your stream to find important ev
 
 To define significant events, either:
 
-- **Generate significant events with AI:** If you don't know what you're looking for, let AI suggest queries based on your data. This works by using the previously identified [features](./advanced.md#streams-advanced-features) in your Stream to create specific queries based on the data you have in your Stream. Then, select the suggestions that make sense to you.
+- **Generate significant events with AI:** (requires an [LLM connector](../../../security/ai/set-up-connectors-for-large-language-models-llm.md)) If you don't know what you're looking for, let AI suggest queries based on your data. This works by using the previously identified [features](./advanced.md#streams-advanced-features) in your Stream to create specific queries based on the data you have in your Stream. Then, select the suggestions that make sense to you.
 - **Create significant events from a query:** If you know what you're looking for, write your own query to find important events.