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Console

PMS Cloud

Build on
PMS Cloud

VMs, containers and an OpenAI-compatible AI API. Docs for people, and for the agents that work with them.

from openai import OpenAI
client = OpenAI(
base_url="https://api.pmservers.org/ai/v1",
api_key="pms_sk_...",
)
answer = client.chat.completions.create(
model="gemma4-e4b",
messages=[{"role": "user", "content": "Hello"}],
)
print(answer.choices[0].message.content)
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://api.pmservers.org/ai/v1',
apiKey: process.env.PMS_API_KEY,
});
const answer = await client.chat.completions.create({
model: 'gemma4-e4b',
messages: [{ role: 'user', content: 'Hello' }],
});
console.log(answer.choices[0].message.content);
curl https://api.pmservers.org/ai/v1/chat/completions \
-H "Authorization: Bearer $PMS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemma4-e4b",
"messages": [{"role": "user", "content": "Hello"}]
}'

Products

Choose what you build

Start with a VM or the AI API. Containers and storage come next.

Give your agent this URL:

https://docs.pmservers.org/llms.txt

It lists every page as a raw Markdown file. All pages in one file are at https://docs.pmservers.org/llms-full.txt. See For agents.

What Address
Console https://console.pmservers.org
AI API (OpenAI-compatible) https://api.pmservers.org/ai/v1
Management API https://api.pmservers.org/v1