Macaron V1 Venti is available on Novita AI through the OpenAI-compatible chat completions API. Use it when you want a very large context window for coding, agent loops, or GenUI prompts, and start with a small text-only request before you expand to longer workflows.
For the broader model overview, see Macaron V1 Venti on Novita AI.
When to Use This Quick Start
Use this guide when your workload needs long context, tool use, or code-native UI generation rather than short chat replies. Macaron V1 Venti’s Novita model page lists serverless access, function calling, and reasoning, with text input and text output.
Step 1: Get Your Novita API Key
Create a Novita API key and keep it server-side.
export NOVITA_API_KEY="your_api_key_here"Step 2: Confirm Model ID and Endpoint
| Field | Value |
|---|---|
| Model ID | mindai/macaron-v1-venti |
| Base URL | https://api.novita.ai/openai/v1 |
| Chat completions endpoint | https://api.novita.ai/openai/v1/chat/completions |
| Context window | 1,048,576 tokens |
| Max output tokens | 131,072 |
| Input | Text |
| Output | Text |
| Features | Serverless API, function calling, reasoning |
| Rate limit tier shown | T1: 30 RPM, 50,000,000 TPM |
At the time checked on July 28, 2026, Novita listed Macaron V1 Venti as time-limited free with $0 input and $0 output pricing. Verify the live model page before budgeting production use.
Step 3: Send Your First Request
Start with a short text-only prompt to verify auth, routing, and parsing.
Summarize the main risks in a repository-wide refactor in 5 bullet points.Step 4: Read the Response
For standard chat completions, read the answer from choices[0].message.content. Keep request metadata, token usage, and HTTP status in your logs so you can trace slow or expensive calls later.
Step 5: Check Pricing, Limits, and Common Errors
The current listing matters more than a stale blog post. Recheck the model page before launch if you depend on free pricing, a specific rate tier, or the full 1M context window.
Common setup mistakes include:
- Using the display name instead of
mindai/macaron-v1-venti. - Pointing the SDK at the wrong base URL.
- Sending a huge prompt before confirming basic connectivity.
- Assuming every long-context request should use the maximum output cap.
Python Example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["NOVITA_API_KEY"],
base_url="https://api.novita.ai/openai/v1",
)
response = client.chat.completions.create(
model="mindai/macaron-v1-venti",
messages=[
{"role": "system", "content": "You are a concise coding assistant."},
{"role": "user", "content": "List the safest first steps for refactoring a large monorepo."},
],
temperature=0.2,
max_tokens=400,
)
print(response.choices[0].message.content)cURL Example
curl "https://api.novita.ai/openai/v1/chat/completions" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${NOVITA_API_KEY}" \
-d '{
"model": "mindai/macaron-v1-venti",
"messages": [
{
"role": "system",
"content": "You are a concise coding assistant."
},
{
"role": "user",
"content": "List the safest first steps for refactoring a large monorepo."
}
],
"temperature": 0.2,
"max_tokens": 400
}'Key Parameters
| Parameter | Start with | Why it matters |
|---|---|---|
model | mindai/macaron-v1-venti | Selects the hosted model |
messages | Short system + user prompt | Verifies the API path quickly |
temperature | 0.2 | Keeps test output stable |
max_tokens | 400 | Avoids oversized first responses |
tools | One function at a time | Useful for agents and workflows |
response_format | Only if your parser is ready | Validate JSON before shipping |
Coding, Agents, and GenUI Prompts
Coding
Use Macaron V1 Venti for repo-aware refactors, migration plans, or code review summaries when the surrounding context matters.
Review this module for migration risks, identify breaking changes, and suggest the smallest safe patch plan.Agents
Use function calling when the model should choose a tool instead of answering directly.
Call the ticket lookup tool only if the user references an existing issue ID. Otherwise answer with a short plan.GenUI
Use it for interface generation when you want structured UI ideas from a product brief.
Turn this product brief into a clean dashboard layout with sections, actions, empty states, and validation rules.Troubleshooting
The API returns an auth error
Confirm the bearer token is set in the same shell or runtime that makes the request.
The model cannot be found
Double-check the model ID: mindai/macaron-v1-venti.
The request is too large
Start smaller, then add context gradually. A 1M-token window is capacity, not a signal to send everything at once.
FAQ
Is Macaron V1 Venti available on Novita AI?
Yes. The live model page lists it as a serverless model.
What endpoint should I use?
Use https://api.novita.ai/openai/v1/chat/completions.
Does it support tool use?
Yes. Novita lists function calling as a model feature.
Is the model free right now?
The listing checked on July 28, 2026 showed $0 input and $0 output pricing, marked time-limited free.
Recommended Articles
- Macaron V1 Venti on Novita AI: 748B Mixture-of-LoRA Flagship for Coding, Agents, and GenUI
- How to Use Codex with Novita AI Models: Complete Setup Guide
- How to Use Function Calling of DeepSeek V3
Sources checked July 28, 2026: Macaron V1 Venti model page, Novita chat completions API reference
