Connect an existing OpenAI SDK to one production gateway.

Quick answer

Which endpoint should you use?

• Use /v1/chat/completions for the familiar messages-based chat format.
• Use /v1/responses when your application is built around the Responses-style input format.
• Use /v1/messages when your integration already follows the Claude Messages request format.
• Use /v1/images/generations for documented image-generation requests.

Endpoint parameters and current model availability can change. The API documentation and live /v1/models response are the source of truth.

Try it with cURL

curl https://www.primoraihub.com/v1/models \
  -H "Authorization: Bearer $PRIMORDIAL_API_KEY"

curl https://www.primoraihub.com/v1/chat/completions \
  -H "Authorization: Bearer $PRIMORDIAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MODEL_ID_FROM_V1_MODELS",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use the OpenAI Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_PRIMORDIAL_API_KEY",
    base_url="https://www.primoraihub.com/v1",
)

models = client.models.list()
model_id = models.data[0].id

response = client.chat.completions.create(
    model=model_id,
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Production checklist

• Fetch and cache the current model list rather than hard-coding an unverified model name.
• Keep API keys in a server-side secret store; do not expose them in browser code or public repositories.
• Log request IDs, latency, status codes, and token usage without logging secret values.
• Confirm the endpoint, model, streaming behavior, and image parameters in the current documentation before release.

Read the complete API documentation or create an account to continue.

Frequently asked questions