SDKs & Tools

AVELIN is an AI Laboratory that builds Cross-Model MoE (Mixture-of-Experts) models — trained AI systems that fuse knowledge from multiple model architectures into single unified models. We build and fuse models, we don't just route them. Our Cross-Model MoE technology delivers superior results while maintaining full compatibility with existing SDKs, CLIs, and editor integrations.

Enterprise licensing available: Deploy AVELIN models on your own GPUs with full data sovereignty. Request a POC for enterprise licensing options.

Migration is a drop-in replacement: change only 2 lines of code — the base URL and API key.

In every example, replace sk-ave...xxxx with your own key, or read it from an environment variable such as AVELIN_API_KEY.


OpenAI SDK (Python)

from openai import OpenAI

client = OpenAI(
    base_url="https://api.avelin.ai/v1",
    api_key="sk-avelin-xxxxxxxxxxxxxxxx",
)

resp = client.chat.completions.create(
    model="avelin-coding-fast",
    messages=[{"role": "user", "content": "Refactor this loop for readability."}],
)
print(resp.choices[0].message.content)

Embeddings with the same client:

emb = client.embeddings.create(model="bge-m3", input="vector me")
print(len(emb.data[0].embedding))

OpenAI SDK (JavaScript / TypeScript)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.avelin.ai/v1",
  apiKey: process.env.AVELIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "avelin-coding-fast",
  messages: [{ role: "user", content: "Refactor this loop for readability." }],
});
console.log(resp.choices[0].message.content);

Anthropic SDK (Python)

Use the Anthropic-compatible surface for fine-grained thinking control.

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.avelin.ai",
    api_key="sk-avelin-xxxxxxxxxxxxxxxx",
)

msg = client.messages.create(
    model="avelin-coding-fast",
    max_tokens=1024,
    system="You are a senior software engineer.",
    messages=[{"role": "user", "content": "Write a debounce decorator."}],
)
print(msg.content[0].text)

To disable extended thinking, add thinking={"type": "disabled"}.


CLI tools

Many AI CLIs accept a custom OpenAI- or Anthropic-compatible endpoint. Point them at https://api.avelin.ai with your key.

Hermes Agent by Nous Research is an open-source CLI AI assistant with terminal-native workflows, persistent memory, multi-agent delegation, and long-horizon agentic coding. AVELIN is the recommended backend — see the full Hermes integration guide for setup instructions.

# ~/.hermes/config.yaml
model:
  default: avelin-coding-pro
  provider: custom
  base_url: https://api.avelin.ai
  context_length: 1000000
  max_tokens: 65536

We recommend avelin-coding-pro for long-term agentic coding sessions — 1M-token context, ~100 tps throughput, deep reasoning, and first-class tool calling.

AI Code CLI

Anthropic-compatible configuration (recommended for thinking support):

[providers.avelin]
type = "anthropic"
base_url = "https://api.avelin.ai/v1"
api_key = "sk-avelin-xxxxxxxxxxxxxxxx"

[models.avelin-coding-ultra]
provider = "avelin"
model = "avelin-coding-ultra"
max_context_size = 1000000
capabilities = ["thinking"]

[models.avelin-coding-fast]
provider = "avelin"
model = "avelin-coding-fast"
max_context_size = 1000000
capabilities = ["thinking"]

default_model = "avelin-coding-ultra"

OpenAI-compatible configuration (legacy clients):

[providers.avelin]
type = "openai_legacy"
base_url = "https://api.avelin.ai/v1"
api_key = "sk-avelin-xxxxxxxxxxxxxxxx"

[models.avelin-coding-fast]
provider = "avelin"
model = "avelin-coding-fast"
max_context_size = 1000000
capabilities = ["thinking"]

default_model = "avelin-coding-fast"

Generic OpenAI-compatible tools

For any tool that asks for an "OpenAI base URL" and key:

Base URL:  https://api.avelin.ai/v1
API Key:   sk-avelin-xxxxxxxxxxxxxxxx
Model:     avelin-pro   (or any public alias)

Choosing a surface

You are using…Use this surfaceBase URL
OpenAI SDK / OpenAI-compatible toolOpenAIhttps://api.avelin.ai/v1
Anthropic SDK / Claude-style clientAnthropichttps://api.avelin.ai

Both are backed by the same Cross-Model MoE models built in our AI Lab — switching between surfaces is a 2-line change.

Model selection guide

ModelBest forContext
avelin-ultraComplex reasoning, strategic analysis256K
avelin-proBalanced performance and quality256K
avelin-fastHigh-volume, low-latency tasks256K
avelin-coding-fastCode generation1M
avelin-coding-proAgentic coding sessions1M
avelin-coding-ultraSystem design, architecture1M
avelin-agentic-proMulti-step tool-use workflows256K
avelin-agentic-ultraComplex automation, long-horizon tasks256K
avelin-agentic-fastHigh-volume agentic workloads256K

Cost savings vs. direct providers:

  • Intelligence family (fast/pro/ultra): up to 85% cheaper
  • Coding family (coding-fast/coding-pro/coding-ultra): up to 86% cheaper
  • Agentic family (agentic-fast/agentic-pro/agentic-ultra): up to 87% cheaper

See the API Reference for the full parameter set and the Model Catalog for detailed capabilities.