Cut your LLM bill. Prove quality held.

curl https://app.o10.io/v1/chat/completions \
  -H "Authorization: Bearer o10_sk_…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "o10/auto",
    "messages": [{"role": "user", "content": "say hi"}]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://app.o10.io/v1",  # ← the only change
    api_key="o10_sk_…",
)
resp = client.chat.completions.create(
    model="o10/auto",
    messages=[{"role": "user", "content": "say hi"}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://app.o10.io/v1", // ← the only change
  apiKey: "o10_sk_…",
});
const resp = await client.chat.completions.create({
  model: "o10/auto",
  messages: [{ role: "user", content: "say hi" }],
});
console.log(resp.choices[0].message.content);

# Cursor → Settings → Models → OpenAI API Key
# 1. Enable "Override OpenAI Base URL" and set:
https://app.o10.io/v1
# 2. Paste your route key as the OpenAI API key:
o10_sk_…
# 3. Add a custom model named o10/auto (listed via https://app.o10.io/v1/models)

# Cline → Settings → API Provider: "OpenAI Compatible"
Base URL: https://app.o10.io/v1
API Key:  o10_sk_…
Model ID: o10/auto

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    base_url="https://app.o10.io/v1",
    api_key="o10_sk_…",
    model="o10/auto",
)
print(llm.invoke("say hi").content)

import { createOpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";

const o10 = createOpenAI({
  baseURL: "https://app.o10.io/v1",
  apiKey: "o10_sk_…",
});
const { text } = await generateText({
  model: o10("o10/auto"),
  prompt: "say hi",
});