NanoClaw Integration

AVELIN API is compatible with NanoClaw — Lightweight alternative to OpenClaw running agents in isolated containers. Supports WhatsApp, Telegram, Slack, Discord, Gmail.

NanoClaw is a lightweight alternative to OpenClaw that runs AI agents in isolated containers for maximum security. Its killer feature is container isolation combined with multi-platform messaging — each agent runs in its own sandboxed container, so a rogue action in one agent can't affect another, while still supporting WhatsApp, Telegram, Slack, Discord, and Gmail from a single deployment. It gives you the power of OpenClaw with a fraction of the resource footprint.

Built for security-conscious teams and self-hosters who want multi-platform AI automation without the overhead of a full OpenClaw deployment. NanoClaw's lighter footprint means you can run it on a single VPS while still connecting to every major messaging platform. Pair with AVELIN's agentic models for reliable tool-calling inside each isolated container.

Why AVELIN + NanoClaw? Leverage AVELIN's frontier models with 1M-token context windows, automatic failover, and competitive pricing for automation workflows.

Quick Setup

Step 1: Get your AVELIN API key

Sign up at avelin.ai and generate an API key. It will look like sk-ave...xxxx.

Step 2: Configure AVELIN

Most automation tools support OpenAI-compatible endpoints via environment variables:

export OPENAI_API_BASE=https://api.avelin.ai/v1
export OPENAI_API_KEY=sk-avelin-YOUR_KEY

API Reference

EndpointURL
OpenAI-compatiblehttps://api.avelin.ai/v1
Anthropic-compatiblehttps://api.avelin.ai
Use caseModelWhy
Complex automationavelin-agentic-ultraTop-tier reasoning for multi-step workflows
Standard tasksavelin-agentic-proBalanced performance and cost
High-volume simple tasksavelin-agentic-fastLowest cost, fastest response
Code-heavy automationavelin-coding-pro1M context, code understanding
Research workflowsavelin-ultraFlagship reasoning capabilities

Why AVELIN for NanoClaw?

  • Agentic models: Purpose-built for tool-calling and multi-step planning
  • Automatic failover: Automation keeps running if a provider is down
  • 1M context: Track complex workflows without losing context
  • Cost optimization: Prompt caching reduces costs by ~80% on repeated prompts

Troubleshooting

IssueSolution
API key errorVerify OPENAI_API_BASE includes /v1
Agent loopsLower temperature to 0.0-0.1, use avelin-agentic-ultra
Token limitBreak workflow into smaller steps
Tool failuresUse avelin-agentic-ultra for best tool-calling reliability