> For the complete documentation index, see [llms.txt](https://docs.bito.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bito.ai/ai-architect/installation.md).

# Installation

- [Install AI Architect (Bito-hosted)](https://docs.bito.ai/ai-architect/installation/install-ai-architect-bito-hosted.md): Deploy AI Architect on Bito's managed infrastructure for instant setup and effortless maintenance.
- [Install AI Architect (self-hosted)](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted.md): Deploy AI Architect in your own infrastructure for complete data control and enhanced security
- [Overview](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/overview.md): Run AI Architect entirely inside your own infrastructure. Your source code, indexed knowledge graph, and credentials never leave your environment.
- [Prerequisites & requirements](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/prerequisites-and-requirements.md): Everything you need before installing self-hosted AI Architect, for both Standalone and Enterprise deployments.
- [Standalone deployment](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/standalone-deployment.md): Run AI Architect privately on your own workstation. Setup takes about 5 to 10 minutes.
- [Enterprise deployment](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/enterprise-deployment.md): Run AI Architect as a shared service for your team, on a server or cluster. Docker Compose suits a single shared host. Kubernetes suits production, high availability, and horizontal scaling.
- [Operations & troubleshooting](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/operations-and-troubleshooting.md): Common tasks for managing a running deployment (Standalone or Enterprise). For every command, see the CLI command reference.
- [Custom LLM configuration](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/custom-llm-configuration.md): By default, AI Architect uses Bito's LLM, covered by your Bito API key. To bring your own key (BYOK), point AI Architect at a supported provider.
- [CLI command reference](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/cli-command-reference.md): CLI commands for installing, operating, and maintaining Bito's AI Architect.
- [Connect Bito AI Architect to GitHub — Create a GitHub App](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/connect-bito-ai-architect-to-github-create-a-github-app.md)
- [Standalone mode (for individuals)](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/standalone-mode-for-individuals.md): Set up AI Architect on your local machine (e.g. Laptop) for quick evaluation
- [Standalone mode vs Enterprise mode](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/standalone-mode-vs-enterprise-mode.md): Deploy AI Architect in your own infrastructure for complete data control and enhanced security
- [Local Git Provider (Pre-Cloned Repositories) — Setup Guide](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/local-git-provider-pre-cloned-repositories-setup-guide.md)
- [Plugins](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/plugins.md)
- [Available commands](https://docs.bito.ai/ai-architect/installation/install-ai-architect-self-hosted/available-commands.md): CLI commands for installing, operating, and maintaining Bito's AI Architect.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.bito.ai/ai-architect/installation.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.