cloudflare/cf-sealion-demo

cloudflare/cf-sealion-demo

Language: TypeScript

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Forks: 0

Open issues: 1

Created: 2026-01-19T12:35:42Z

Pushed: 2026-04-23T21:01:49Z

Default branch: main

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Archived: no

README:

Sea Lion AI Worker

A simple Cloudflare Worker that exposes the Sea Lion model (@cf/aisingapore/gemma-sea-lion-v4-27b-it) as a REST API.


Endpoints

| Endpoint | Method | Description | | --------- | ------ | ------------------------------- | | / | GET | Health check & API info | | /health | GET | Health check | | /chat | POST | Non-streaming chat completion | | /stream | POST | Streaming chat completion (SSE) |

Usage

Non-Streaming Chat (/chat)

curl -X POST https://your-worker.workers.dev/chat \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "system", "content": "You are a helpful assistant"},
{"role": "user", "content": "What is Singapore famous for?"}
]
}'

Simple format:

curl -X POST https://your-worker.workers.dev/chat \
-H "Content-Type: application/json" \
-d '{
"prompt": "What is Singapore famous for?",
"system": "You are a helpful assistant"
}'

Streaming Chat (/stream)

curl -X POST https://your-worker.workers.dev/stream \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "system", "content": "You are a helpful assistant"},
{"role": "user", "content": "Tell me a story"}
]
}'

Starter Prompt for AI Coding Tools

Copy and paste this prompt into Lovable, Bolt, or any AI coding platform to quickly integrate the Sea Lion API:

---

Copy this prompt:

I want to integrate the Sea Lion AI model into my app. Here's the API details:

API Base URL: https://your-worker.workers.dev

ENDPOINTS:

1. POST /chat - Non-streaming chat completion
Request body:
{
"prompt": "Your question here",
"system": "Optional system prompt"
}
OR
{
"messages": [
{"role": "system", "content": "System prompt"},
{"role": "user", "content": "User message"}
]
}
Response: { "response": "AI response text" }

2. POST /stream - Streaming chat completion (Server-Sent Events)
Same request body as /chat
Response: SSE stream with text chunks

EXAMPLE FETCH CODE:

const response = await fetch('https://your-worker.workers.dev/chat', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
prompt: 'Hello!',
system: 'You are a helpful assistant'
})
});
const data = await response.json();
console.log(data.response);

Please help me build [describe your feature] using this AI API.

---

> Important: Replace https://your-worker.workers.dev with your actual deployed worker URL.

Using in Lovable, Bolt, or other platforms

When building apps in Lovable, Bolt, or other platforms, you can call this API like this:

// Non-streaming
const response = await fetch('https://your-worker.workers.dev/chat', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
prompt: 'Hello, how are you?',
system: 'You are a friendly assistant',
}),
});
const data = await response.json();
console.log(data.response);

// Streaming
const streamResponse = await fetch('https://your-worker.workers.dev/stream', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
messages: [{ role: 'user', content: 'Tell me about AI' }],
}),
});

const reader = streamResponse.body.getReader();
const decoder = new TextDecoder();

while (true) {
const { done, value } = await reader.read();
if (done) break;
console.log(decoder.decode(value));
}

Deploy Your Own

Option 1: One-Click Deploy

Click the button above to deploy directly to Cloudflare Workers.

Option 2: Manual Deploy

1. Clone the repository

git clone https://github.com/fayazara/cf-sealion.git
cd cf-sealion

2. Install dependencies

npm install
# or
pnpm install

3. Login to Cloudflare

npx wrangler login

4. Deploy

npm run deploy

5. Your worker will be available at https://cf-sealion..workers.dev

Local Development

npm run dev

This starts a local server at http://localhost:8787.

Request Format

Messages Array Format

{
"messages": [
{ "role": "system", "content": "System prompt here" },
{ "role": "user", "content": "User message" },
{ "role": "assistant", "content": "Previous assistant response" },
{ "role": "user", "content": "Follow-up question" }
]
}

Simple Format

{
"prompt": "Your question here",
"system": "Optional system prompt"
}

Response Format

Non-Streaming (/chat)

{
"response": "The AI's response text here"
}

Streaming (/stream)

Returns Server-Sent Events (SSE) with chunks of the response.

About Sea Lion

Sea Lion is a family of Large Language Models developed by AI Singapore, optimized for Southeast Asian languages and context. Learn more at AI Singapore.

License

MIT