> ## Documentation Index
> Fetch the complete documentation index at: https://docs.synq.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Scout on-premise setup

> Deploy Scout AI agent in your Kubernetes cluster with full control over data processing

## Prerequisites

Before deploying Scout on-premise, you need:

* Kubernetes cluster with kubectl access
* OpenAI-compatible API (e.g. [LiteLLM](https://docs.litellm.ai/)) serving an Anthropic Claude model
* Coalesce Quality OAuth credentials from on-premise integration setup:
  * `SYNQ_CLIENT_ID`
  * `SYNQ_CLIENT_SECRET`

## Deployment

All deployment configurations, detailed instructions, and examples are available in our official repository:

[**getsynq/synq-scout-k8s**](https://github.com/getsynq/synq-scout-k8s)

The repository provides complete deployment guidance including:

* Kubernetes configurations
* Environment setup instructions
* Sample deployment files
* Troubleshooting guides

## Configuration

During your on-premise integration setup in Coalesce Quality, you'll receive OAuth credentials that are required for deployment:

* `SYNQ_CLIENT_ID`
* `SYNQ_CLIENT_SECRET`

These credentials authenticate Scout with the Coalesce Quality platform and must be configured in your deployment.

### LLM Model Configuration

Scout uses two model roles — a **thinking model** (for reasoning and triage) and a **summary model** (for generating summaries). Both default to Claude Sonnet when not explicitly configured.

You can override the models using environment variables:

| Variable              | Description                                            |
| --------------------- | ------------------------------------------------------ |
| `SYNQ_THINKING_MODEL` | Model used for reasoning and triage                    |
| `SYNQ_SUMMARY_MODEL`  | Model used for generating summaries                    |
| `OPENAI_MODEL`        | Fallback model for both roles if the above are not set |

The model names should match what your OpenAI-compatible API expects (e.g. the model name configured in LiteLLM).

To see the list of currently supported models and their stable/latest versions, go to **Settings → Scout AI → Models** in the Coalesce Quality platform.

## Support

For deployment assistance:

* [Repository Documentation](https://github.com/getsynq/synq-scout-k8s) - Complete deployment guide
* [Repository Issues](https://github.com/getsynq/synq-scout-k8s/issues) - Report deployment issues
* Coalesce Quality support - Contact your team for assistance

On-premise deployment provides complete control over your data while maintaining Scout's full functionality and enterprise security requirements.