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Oct 21, 2025
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[Observability AI Assistant] Add support note to local LLM docs #3551

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dcc7972
Add support note to local LLM docs
mdbirnstiehl Oct 20, 2025
e82ca68
Merge branch 'main' into local-llm-airgap
mdbirnstiehl Oct 20, 2025
5744cfe
Merge branch 'main' into local-llm-airgap
mdbirnstiehl Oct 20, 2025
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Merge branch 'main' into local-llm-airgap
mdbirnstiehl Oct 21, 2025
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9 changes: 7 additions & 2 deletions solutions/observability/connect-to-own-local-llm.md
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Expand Up @@ -11,12 +11,17 @@ products:

# Connect to your own local LLM

:::{important}
Elastic doesn’t support the setup and configuration of local LLMs. The example provided is for reference only.
Before using a local LLM, evaluate its performance according to the [LLM performance matrix](./llm-performance-matrix.md#evaluate-your-own-model).
:::

This page provides instructions for setting up a connector to a large language model (LLM) of your choice using LM Studio. This allows you to use your chosen model within the {{obs-ai-assistant}}. You’ll first need to set up LM Studio, then download and deploy a model via LM studio and finally configure the connector in your Elastic deployment.

::::{note}
If your Elastic deployment is not on the same network, you must configure an Nginx reverse proxy to authenticate with Elastic. Refer to [Configure your reverse proxy](https://www.elastic.co/docs/solutions/security/ai/connect-to-own-local-llm#_configure_your_reverse_proxy) for more detailed instructions.

You do not have to set up a proxy if LM Studio is running locally, or on the same network as your Elastic deployment.
You do not have to set up a proxy if LM Studio is running locally, or on the same network as your Elastic deployment.
::::

::::{note}
Expand Down Expand Up @@ -85,7 +90,7 @@ Once you’ve downloaded a model, use the following commands in your CLI:
4. Load a model: `lms load llama-3.3-70b-instruct --context-length 64000 --gpu max`.

::::{important}
When loading a model, use the `--context-length` flag with a context window of 64,000 or higher.
When loading a model, use the `--context-length` flag with a context window of 64,000 or higher.
Optionally, you can set how much to offload to the GPU by using the `--gpu` flag. `--gpu max` will offload all layers to GPU.
::::

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4 changes: 4 additions & 0 deletions solutions/observability/observability-ai-assistant.md
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Expand Up @@ -102,6 +102,10 @@ While the {{obs-ai-assistant}} is compatible with many different models, refer t
:::

### Connect to a custom local LLM
```{applies_to}
serverless: ga
stack: ga 9.2
```

[Connect to LM Studio](/solutions/observability/connect-to-own-local-llm.md) to use a custom LLM deployed and managed by you.

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