# Welcome to Helvia

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Alpha version: Documentation in progress. New content is added regularly.&#x20;

The previous documentation is still available [here.](https://helvia.gitbook.io/docs)
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<p align="center">Build, deploy, and monitor AI agents. </p>

<p align="center">One platform. No code required.</p>

{% embed url="<https://youtu.be/QqVR7cXzwnM>" %}

### The Helvia Advantage

<table data-column-title-hidden data-view="cards"><thead><tr><th>Title</th><th>Description</th></tr></thead><tbody><tr><td><h4><i class="fa-diagram-project">:diagram-project:</i></h4><h4>Visual Orchestration</h4></td><td>Build complex logic via a simple drag-and-drop canvas without writing any code</td></tr><tr><td><h4><i class="fa-arrows-spin">:arrows-spin:</i></h4><h4>End-to-End Experience</h4></td><td>Manage the entire agent lifecycle from prototyping to testing, deployment, and monitoring</td></tr><tr><td><h4><i class="fa-chart-line">:chart-line:</i></h4><h4>Analytics and Insights</h4></td><td>Turn performance data into actionable insights to scale and optimize your agents with confidence</td></tr><tr><td><h4><i class="fa-comments">:comments:</i></h4><h4>Optimized for Conversational AI</h4></td><td>From customized chat widgets to live human handoff, built for conversations</td></tr><tr><td><h4><i class="fa-rocket">:rocket:</i></h4><h4>Deploy Everywhere</h4></td><td>Connect your agents to your preferred platforms to reach your users wherever they are</td></tr><tr><td><h4><i class="fa-microchip">:microchip:</i></h4><h4>Model Agnostic</h4></td><td>Access the latest LLMs from leading AI labs through a unified interface</td></tr></tbody></table>

### Who Is It For

Our platform is designed for cross-functional success and caters to both technical and non-technical teams:

* Developers: Leverage APIs for deep technical control and build automation
* Product Teams: Prototype and iterate on agent behavior using visual workflows
* Enterprises: Deploy secure, monitorable AI workflows at scale

### What's Next

The platform is organized around three core views that map to the AI agent lifecycle: Workspace, Designer and Observatory. Learn all about them [here](https://docs.helvia.ai/getting-started/platform-overview).

<table data-card-size="large" data-view="cards" data-full-width="false"><thead><tr><th></th><th></th><th data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td><h3>Build Your First Agent</h3></td><td>Create and manage your AI agents behind your workflows</td><td><a href="../build">build</a></td><td><a href="https://604830754-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBM1xs3i59ajeTgi4uVfN%2Fuploads%2FW7y9th9YnkFQDf5277LU%2FBuild%20agent.png?alt=media&#x26;token=f724c46b-d053-4587-b422-ea39319e4eda">Build agent.png</a></td></tr><tr><td><h3>API Reference</h3></td><td>Explore developer tools and API access for end-to-end agent management</td><td><a href="../api">api</a></td><td><a href="https://604830754-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBM1xs3i59ajeTgi4uVfN%2Fuploads%2FML0j6qQ7XOndbvDkDoOA%2Fdeployment%20api.png?alt=media&#x26;token=591d04fd-7624-41bc-b92c-585e5390768d">deployment api.png</a></td></tr></tbody></table>

Need help? Visit our [support](https://docs.helvia.ai/resources/support) page.

{% hint style="warning" %}
This documentation reflects platform version 6. Interfaces in other versions may look different but core functionality remains the same
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# Agent Instructions: Querying This Documentation

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

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.helvia.ai/getting-started/welcome.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
