How to Use OpenClaw with FPT AI Inference

Learn how to pair OpenClaw with FPT AI Inference — a high-performance, OpenAI-compatible inference API with data centers in Vietnam and Japan.

What is FPT AI Inference?

FPT AI Inference gives you access to leading open-source models — Llama 4, Qwen3, DeepSeek, and more — through a single OpenAI-compatible API, backed by data centers in Vietnam and Japan.

By pairing OpenClaw with FPT AI Inference, you get a fully local agent powered by frontier open-source models — your machine, your keys, your data.

Get started in 5 minutes

Prerequisites

An OpenClaw installation (docs.openclaw.ai/install)
An FPT AI API key — grab one at marketplace.fptcloud.com (new users get $100 free credit — including $70 for AI Inference, enough for millions of tokens to power your first OpenClaw workflows)

Step 1: Install OpenClaw

Since FPT AI Inference is fully OpenAI-compatible, you can connect it to OpenClaw using a custom base URL. Open your OpenClaw config file.’

Step 2: Choose Model/auth provider

Step 3: Enter FPT Marketplace API endpoint and Key

Step 4: Default Model

Environment note

If the Gateway runs as a daemon (launchd / systemd), make sure FPT_API_KEY is available to that process. The easiest way is to keep it in ~/.openclaw/.env — OpenClaw loads this file automatically on startup.

Security

OpenClaw runs on your machine and calls external APIs — here's what you need to know to stay secure.

1. API key storage

Never hardcode your API key in config files or source code. Always use environment variables or the .env file that OpenClaw manages:

# Good — stored in ~/.openclaw/.env (not committed to git)

FPT_API_KEY=fpt_xxxxxxxxxxxx

# Bad — hardcoded in config

"apiKey": "fpt_xxxxxxxxxxxx" // ❌ don't do this

If you suspect your key has been exposed, rotate it immediately at marketplace.fptcloud.com.

2. Prompt injection awareness

OpenClaw is an autonomous agent — it reads web pages, files, messages, and executes actions. This makes it a target for prompt injection attacks, where malicious content in the environment tries to hijack the agent's behavior.

Best practices:

Use strong, instruction-following models (Llama 4, Qwen3) that are more resistant to injection
Review OpenClaw's security best practices before deploying in production
Be cautious when allowing the agent to browse untrusted websites or process untrusted files
Prompt injection is an industry-wide unsolved problem — no model is fully immune

3. Network security

All requests from OpenClaw to FPT AI Inference are transmitted over HTTPS/TLS. No plaintext API calls. Your prompts and responses are encrypted in transit.

Base URL: https://mkp-api.fptcloud.com

Protocol: HTTPS (TLS 1.2+)

4. Rate limiting & runaway protection

FPT AI Inference has built-in rate limiting and abuse protection. A misconfigured or looping agent won't silently drain your credit. Consider setting a budget cap:

{

agents: {

defaults: {

// Hard cap per session

maxTokensPerSession: 100000,

},

}

Monitor your usage in real-time at marketplace.fptcloud.com/my-account?tab=my-usage

Why FPT AI Inference + OpenClaw?

OpenAI-compatible — zero code changes, works out of the box
$100 free credit — new users get $100 Starter Plan to explore all services

Supported models

Model

Context

Best for

GLM-4.7

128K

General purpose — good starting model

meta-llama/Llama-4-Scout-17B-16E-Instruct

128K

Fast, reliable agent tasks

meta-llama/Llama-4-Maverick-17B-128E-Instruct

Long context, complex tasks

Qwen/Qwen3-32B

128K

Tool calling, structured output

deepseek-ai/DeepSeek-V3

64K

Coding, analysis

deepseek-ai/DeepSeek-R1

64K

Step-by-step reasoning

Full model list: marketplace.fptcloud.com/

Use cases

OpenClaw powered by FPT AI works great for:

Automating daily workflows via Telegram or WhatsApp
Coding assistant — write, test, and deploy code from chat
Research & summarization — browse and synthesize information
Business process automation — integrate with Slack, Teams, Discord

Check out the OpenClaw Showcase at openclaw.ai/showcase for real-world examples.

The bottom line

You don't have to choose between performance and security. FPT AI Inference gives you frontier open-source models with built-in rate limiting and HTTPS encryption. OpenClaw turns them into a full-featured agent that lives on your machine.

Start free: marketplace.fptcloud.com/?free-trial

GitHub PR Description

Add FPT AI Inference as supported provider

Provider

FPT AI Inference

Base URL

https://mkp-api.fptcloud.com

Auth flag

--auth-choice fpt-api-key

API compatibility

OpenAI-compatible

What this PR adds

Native onboarding support via openclaw onboard --auth-choice fpt-api-key
FPT AI Inference listed as a supported provider in docs and config
Quickstart guide: How to use OpenClaw with FPT AI Inference
Security section covering: API key storage, prompt injection, HTTPS/TLS, rate limiting

Why FPT AI Inference

FPT AI Inference is an OpenAI-compatible inference API with data centers in Vietnam and Japan, giving OpenClaw users access to frontier open-source models:

Models — Llama 4, Qwen3-32B, DeepSeek V3/R1, and more
$100 free Starter Plan — including $70 for AI Inference, enough for millions of tokens to power your first OpenClaw workflows

Security notes included in doc

This PR includes a dedicated Security section aligned with OpenClaw's existing security-first positioning:

API key storage — best practices for .env usage, warn against hardcoding
Prompt injection — recommendation to use strong models + link to OpenClaw security docs
Network security — confirm HTTPS/TLS for all FPT AI Inference endpoints
Rate limiting — built-in abuse protection + budget cap config example

OpenClaw has invested significantly in security (34 security commits in the last release). This doc reflects that priority and helps FPT AI users adopt the same standard.

Testing