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

# Features

- [Zero Completion Insurance](https://infronai.gitbook.io/docs/features/zero-completion-insurance.md): Infron will not charge you for zero token responses
- [Zero Data Retention](https://infronai.gitbook.io/docs/features/zero-data-retention.md): How Infron gives you control over your data
- [Structured Outputs](https://infronai.gitbook.io/docs/features/structured-outputs.md): Return structured data from your models.
- [Tool Calling](https://infronai.gitbook.io/docs/features/tool-calling.md): Tool & Function Calling - Use tools in your prompts
- [Prompt Caching](https://infronai.gitbook.io/docs/features/prompt-caching.md): Prompt Cache in Infron
- [Multimodal Input](https://infronai.gitbook.io/docs/features/multimodal-input.md): Send images, PDFs, and audio to Infron AI models
- [Images Inputs](https://infronai.gitbook.io/docs/features/multimodal-input/images-inputs.md): How to send images and PDFs to Infron AI
- [PDF Inputs](https://infronai.gitbook.io/docs/features/multimodal-input/pdf-inputs.md): How to send PDFs to Infron AI models
- [Audio Inputs](https://infronai.gitbook.io/docs/features/multimodal-input/audio-inputs.md): How to send audio files to Infron AI models
- [Video Inputs](https://infronai.gitbook.io/docs/features/multimodal-input/video-inputs.md)
- [Reasoning & Thinking](https://infronai.gitbook.io/docs/features/reasoning-and-thinking.md)
- [1M Token Long Context Window](https://infronai.gitbook.io/docs/features/1m-token-long-context-window.md)
- [Web Search](https://infronai.gitbook.io/docs/features/web-search.md): This document explains how to use the Web Search feature on the Infron platform.
- [Plugins](https://infronai.gitbook.io/docs/features/plugins.md): Extend model capabilities with Infron plugins
- [Web Search](https://infronai.gitbook.io/docs/features/plugins/web-search.md): Model-agnostic grounding
- [Response Healing](https://infronai.gitbook.io/docs/features/plugins/response-healing.md): Automatically fix malformed JSON responses
- [Presets](https://infronai.gitbook.io/docs/features/presets.md): Save and reuse model and provider routing settings across API requests.
- [Service Tiers](https://infronai.gitbook.io/docs/features/service-tiers.md): Control cost and latency tradeoffs with service tier selection
- [Teams](https://infronai.gitbook.io/docs/features/teams.md)
- [Switching Teams](https://infronai.gitbook.io/docs/features/teams/switching-teams.md)
- [Team Budgets](https://infronai.gitbook.io/docs/features/teams/team-budgets.md)


---

# 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://infronai.gitbook.io/docs/features.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.