> ## Content Index
> Fetch the complete content index at: https://blog.trymaple.ai/llms.txt
> Use this file to discover other available public pages before exploring further.

# Introducing Maple Proxy – the Maple AI API that brings encrypted LLMs to your OpenAI apps
- URL: https://blog.trymaple.ai/introducing-maple-proxy-the-maple-ai-api-that-brings-encrypted-llms-to-your-openai-apps/
- Published: 2025-09-03T16:24:04.000Z
- Updated: 2026-06-01T18:39:31.000Z
- Author: Mark Suman
- Tags: Release

How many apps do you come across on a daily basis that are infused with AI? Calorie trackers, CRMs, study companions, relationship apps 👀. Most of them use ChatGPT on the backend, meaning they share your data with OpenAI. All of it. It doesn't need to be this way.

Today we’re proud to launch **Maple Proxy**, a lightweight bridge that lets you call Maple’s end‑to‑end‑encrypted large language models (LLMs) with any OpenAI‑compatible client *without changing a line of code*.

> **Your existing OpenAI libraries keep working.** 
> **Your data stays inside a hardware‑isolated enclave.**

The Maple Proxy is great for:

1. People who run AI tools on their computer that call out to OpenAI
2. Developers who ship apps that call out to OpenAI

0:00 

/0:32 

1× 

Using [Jan](https://jan.ai/?ref=blog.trymaple.ai) to run the largest DeepSeek R1 671B with full encryption through Maple AI

If you're stoked on the idea already, feel free to jump straight to our [Maple Proxy documentation and get started](https://blog.trymaple.ai/maple-proxy-documentation).

[![](https://storage.ghost.io/c/93/97/9397a2e6-2958-4b66-9364-de88bb4d5580/content/images/2025/09/Guide-to-Maple-Proxy-2-1.png)](https://blog.trymaple.ai/maple-proxy-documentation)

---

## What ships in the box?

Maple runs inference inside a **Trusted Execution Environment (TEE)**. That gives you:

- **End‑to‑end encryption** – prompts and responses never leave the enclave, not even for us.
- **Cryptographic attestation** – you can verify you’re talking to genuine secure hardware.
- **Zero Data Retention** – no logs, no training data, nothing stored in the clear.

All of that security used to mean extra plumbing in your code (handshakes, key exchanges, attestation checks). **Maple Proxy does the heavy lifting for you**, exposing a drop‑in OpenAI‑style endpoint that speaks the same JSON schema you already know.

---

## Ready‑to‑Use Models (pay‑as‑you‑go)

| Model               | Typical Use-Case                                   | Price\*               |
| ------------------- | -------------------------------------------------- | --------------------- |
| **gpt-oss-120b**    | Fast everyday tasks and chat                       | $1.50 in / $2.50 out  |
| **llama3-3-70b**    | General purpose                                    | $3.50 in / $5.50 out  |
| **gemma4-31b**      | Reasoning and image analysis                       | $0.90 in / $2.00 out  |
| **qwen3-vl-30b**    | Image analysis, OCR, screenshot-to-code            | $2.50 in / $8.00 out  |
| **kimi-k2-6**       | Complex reasoning, agentic workflows, coding       | $3.00 in / $10.50 out |
| **glm-5-1**         | Pro reasoning                                      | $3.00 in / $10.50 out |
| **deepseek-v4-pro** | Large-context research and analysis (800k context) | $3.00 in / $10.50 out |

\*Prices are per million tokens. API usage draws from the paid subscription plan credits first. If additional credits are needed, they can be purchased in increments starting at $10.

---

## Real‑World Ways to Use Maple Proxy

### A calorie‑counting mobile app (for everyday users)

A developer can replace the public OpenAI calls that power “suggest healthy meals” with a call to Maple Proxy. The app sends the user’s food log to the private LLM, receives a tailored meal plan, and **the user’s dietary data never leaves the secure enclave**. The experience feels the same, but privacy is secured.

![](https://storage.ghost.io/c/93/97/9397a2e6-2958-4b66-9364-de88bb4d5580/content/images/2025/09/3ede8a03-7d12-4258-b377-f74263d770fd-1.png)

### Internal knowledge‑base search for a tech startup (for developers)

Your team’s internal documentation lives in a private repository. By routing the retrieval‑augmented‑generation queries through Maple Proxy, the LLM can answer “How do we deploy the new microservice?” without ever exposing the confidential architecture details to an external provider.

![](https://storage.ghost.io/c/93/97/9397a2e6-2958-4b66-9364-de88bb4d5580/content/images/2025/09/3081db06-df29-4f18-a12c-4ef5c0eec455-2-1.png)

### Coding‑assistant plug‑in for an IDE (for developers)

Take your coding environment that uses the OpenAI API, but point the client at `http://localhost:8080/v1`. The assistant can suggest code snippets, refactor functions, or explain errors while **keeping proprietary code snippets inside a hardware‑isolated enclave**. No additional SDKs or libraries are required—just change the base URL. Whether you're building production code or simply vibe coding your next idea, Maple Proxy keeps you secure.

![](https://storage.ghost.io/c/93/97/9397a2e6-2958-4b66-9364-de88bb4d5580/content/images/2025/09/56379bd7-d01a-48e9-b277-8828a3b4dcc1-2-1.png)

These examples illustrate how the same simple “change the endpoint” step unlocks private, secure AI for any workflow, from consumer‑facing apps to internal tooling.

---

## How to Get Started

### 1\. Desktop App – Fastest for Local Development

1. **Download** the Maple desktop app → [trymaple.ai/downloads](https://trymaple.ai/downloads?ref=blog.trymaple.ai)
2. **Sign up / upgrade** to Pro, Team, or Max (plans start at **$20 / month**)
3. Open the **Local Proxy** tab and click **“Start Proxy.”**

The app automatically creates an API key, starts a proxy on `localhost:8080` (or a port you choose), and handles all attestation and encryption behind the scenes. From this point on you can point any OpenAI client to `http://localhost:8080/v1` and everything just works.

### 2\. Stand‑alone Docker Image – Production‑Ready

*Pull the image*

```bash
docker pull ghcr.io/opensecretcloud/maple-proxy:latest

```

*Run it* (replace `YOUR_MAPLE_API_KEY` with a key from your Maple dashboard)

```bash
docker run -p 8080:8080 \
  -e MAPLE_BACKEND_URL=https://enclave.trymaple.ai \
  -e MAPLE_API_KEY=YOUR_MAPLE_API_KEY \
  ghcr.io/opensecretcloud/maple-proxy:latest

```

You now have a secure, OpenAI‑compatible endpoint at `http://localhost:8080/v1`. A ready‑to‑use `docker‑compose` template is included in the repository for longer‑running services.

---

## Works With Any OpenAI‑Compatible Tool

If a library lets you set a `base_url` or `api_base`, it works with Maple Proxy. That includes LangChain, LlamaIndex, Amp, Open Interpreter, [Goose](https://block.github.io/goose/?ref=blog.trymaple.ai), [Jan](https://jan.ai/?ref=blog.trymaple.ai), and virtually any other OpenAI‑compatible SDK. No code changes beyond the endpoint URL are needed.

![Goose user interface attached to Maple AI showing what it can help you do](https://storage.ghost.io/c/93/97/9397a2e6-2958-4b66-9364-de88bb4d5580/content/images/2025/09/Goose-Hello.png)

[Goose](https://block.github.io/goose/?ref=blog.trymaple.ai) made by [Block](https://block.xyz/?ref=blog.trymaple.ai) is ready for your autonomous workflows using secure Maple AI

---

## Need More Detail?

- **Technical write‑up –** [Using the Maple Proxy](https://blog.trymaple.ai/maple-proxy-documentation/)
- **Full API reference** – [https://github.com/opensecretcloud/maple-proxy](https://github.com/opensecretcloud/maple-proxy?ref=blog.trymaple.ai)
- **Discord community** – [real‑time community help and feature discussions](https://discord.gg/ch2gjZAMGy?ref=blog.trymaple.ai)

---

## Start Building with Private AI – Today

1. [**Download** the desktop app **or** pull the Docker image.](https://trymaple.ai/downloads?ref=blog.trymaple.ai)
2. [**Upgrade** to a Pro/Team/Max plan (starting at **$20 / month**).](https://trymaple.ai/pricing?ref=blog.trymaple.ai)
3. **Point** any OpenAI client to `http://localhost:8080/v1`.

Let's start securing all the apps together.