jatevo

Configure OpenClaw with Jatevo API for free OpenAI-compatible LLM inference.

46|9|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/lucacadalora/jatevo-openclaw --skill jatevo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jatevo
Source: https://github.com/lucacadalora/jatevo-openclaw/tree/main
Command: npx skills add https://github.com/lucacadalora/jatevo-openclaw --skill jatevo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of paying for LLM access by giving OpenClaw users free, production-grade inference through a single API key using OpenAI-compatible endpoints.

Core Features & Use Cases

  • Free inference-as-a-service: Zero-cost access to Qwen 3.5 Plus, Kimi K2.5, and GLM 4.7 for everyday agent and chat workloads.
  • OpenAI-compatible configuration: Drop-in compatibility with OpenClaw model-provider settings so you can use standard LLM tooling without vendor lock-in.
  • Use Case: Deploy an OpenClaw assistant that can handle long-document Q&A with Qwen (1M context), reasoning-heavy tasks with Kimi (262K context), or ultra-low-latency chat with GLM (128K context).

Quick Start

Run the included setup script by executing: bash setup.sh.

Frequently Asked Questions about jatevo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get free OpenAI-compatible LLM inference for OpenClaw?

You can get free OpenAI-compatible LLM inference for OpenClaw by configuring it with the Jatevo API, which provides zero-cost access to models like Qwen 3.5 Plus, Kimi K2.5, and GLM 4.7.

What models are available for long-context document analysis and reasoning tasks via the Jatevo API?

The Jatevo API provides access to Qwen 3.5 Plus for 1M context document analysis, Kimi K2.5 for 262K context reasoning tasks, and GLM 4.7 for 128K context ultra-low-latency chat.

Do I need an API key to use OpenAI-style chat completions with OpenClaw?

Yes, you need a valid Jatevo API key prefixed with 'jk_' to satisfy OpenAI-style chat-completions requests and authenticate your OpenClaw configuration.

How do I configure OpenClaw to use a free OpenAI-compatible endpoint?

To configure OpenClaw, run the setup script via 'bash setup.sh', which sets the correct baseUrl, auth header, and model IDs to enable OpenAI-compatible endpoint communication.

Can I use OpenClaw with standard LLM tooling without vendor lock-in?

Yes, OpenClaw achieves drop-in compatibility with standard LLM tooling without vendor lock-in by using OpenAI-compatible configuration settings for the Jatevo API.

What are the limitations of using free inference-as-a-service for OpenClaw workloads?

Free inference-as-a-service limitations are not explicitly defined, but it requires a valid Jatevo API key and is suited for agent, chat, long-document Q&A, reasoning, and batch processing workloads.