# Overview

The Helvia.ai Platform exposes REST APIs through multiple services. Each service handles a specific domain of the platform's functionality.

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Not all API services are listed here yet. This section is actively maintained — check back later for additional services.
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### Services

| Service               | Description                                                                                                                                                  |
| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **hbf-bot**           | Chatbot executor — runs agent configurations in real-time chat channels (Web, Viber, Messenger, Slack, Teams). No OpenAPI spec.                              |
| **hbf-doc-ingestion** | Document processing — ingests documents (PDF, DOCX, PPTX, HTML, MD, TXT), converts to Markdown, segments into semantic chunks, and optionally tags via LLMs. |

### Common Patterns

All API services follow these conventions:

* **Content-Type**: `application/json` for request and response bodies
* **Error responses**: Standard HTTP status codes with JSON error bodies
* **CORS**: Enabled for all origins in local development


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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/api/overview.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.
