CorvusLLM OpenAI SDK Setup - Python, Node and Curl

Install SDK prerequisites

Use curl for the smallest test. For application code, install Python or Node.js first, then install the official OpenAI SDK and point it at CorvusLLM with the base URL shown below.

What to install	Official source	Quick check
Python	Python downloads	`python --version`
Node.js and npm	Node.js download	`node --version` and `npm --version`
OpenAI SDK package	OpenAI Python SDK or OpenAI Node SDK	Install only the language you use.

Install commands

python --version
python -m pip install --upgrade openai

node --version
npm --version
npm install openai

Zero-to-working setup

Use this block when you want the shortest reliable path from a clean install to one successful OpenAI SDKs request through CorvusLLM.

1

Install

Python or Node.js
Official OpenAI SDK package for the language you use

Official source: OpenAI Python SDK, OpenAI Node SDK

2

Configure

Set OPENAI_BASE_URL and OPENAI_API_KEY in the same shell, app environment, CI secret store, or hosting provider where the SDK runs.

Set OPENAI_BASE_URL to https://base.corvusllm.com/v1
Set OPENAI_API_KEY to your delivered CorvusLLM key

3

Verify

Run the curl, Python, or Node sample with model gpt-5.5
Keep the first request small before moving production traffic

The SDK returns a normal chat completion without changing the code away from OpenAI-compatible client usage.

Value	Paste this
OPENAI_BASE_URL	`https://base.corvusllm.com/v1`
OPENAI_API_KEY	`YOUR_CORVUSLLM_KEY`
Starter model	`gpt-5.5`

Setup guardrail

Use /v1 only. Do not point OpenAI SDKs at the Anthropic-native path.

Environment values

Set the same two variables before running local SDK examples, CI scripts, or backend apps. The SDK reads the key from OPENAI_API_KEY and the CorvusLLM endpoint from OPENAI_BASE_URL.

PowerShell

$env:OPENAI_BASE_URL="https://base.corvusllm.com/v1"
$env:OPENAI_API_KEY="YOUR_CORVUSLLM_KEY"

macOS / Linux

export OPENAI_BASE_URL="https://base.corvusllm.com/v1"
export OPENAI_API_KEY="YOUR_CORVUSLLM_KEY"

curl

curl https://base.corvusllm.com/v1/chat/completions ^
  -H "Authorization: Bearer YOUR_CORVUSLLM_KEY" ^
  -H "Content-Type: application/json" ^
  -d "{\"model\":\"gpt-5.5\",\"messages\":[{\"role\":\"user\",\"content\":\"Say sdk-ok\"}]}"

OpenAI Python SDK

Python

import os
from openai import OpenAI

client = OpenAI(
    base_url=os.environ.get("OPENAI_BASE_URL", "https://base.corvusllm.com/v1"),
    api_key=os.environ["OPENAI_API_KEY"],
)

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Say sdk-ok"}],
)

print(response.choices[0].message.content)

OpenAI Node SDK

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: process.env.OPENAI_BASE_URL || "https://base.corvusllm.com/v1",
  apiKey: process.env.OPENAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "gpt-5.5",
  messages: [{ role: "user", content: "Say sdk-ok" }],
});

console.log(response.choices[0].message.content);

Responses API

CorvusLLM exposes /v1/responses, but keep the first implementation simple: use it in non-stream mode first.

Live provider matrix

The matrix below is rendered from the current public catalog. Desktop shows one model per column; mobile uses compact model rows so slugs, providers, and endpoints stay readable.

Model	Loading
Provider	Loading current catalog.
Endpoint	/v1

Use CorvusLLM anywhere with the OpenAI /v1 path.