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Description

Running OpenClaw with custom model. We use K2Think as base model.

This setup uses the IFM Model API with:

  • Model: MBZUAI-IFM/K2-Think-v2
  • Base URL: https://api.k2think.ai
  • Chat endpoint: /v1/chat/completions
  • Authentication: Authorization: Bearer <API_KEY> (mapped from OPENCLAW_OPENAI_API_KEY)

K2 Think v2 is positioned for advanced reasoning tasks such as coding, math, and complex problem solving.

Based on IFM docs defaults, keep these in mind for planning usage:

  • Rate limit: 30 requests/minute (unless approved otherwise)
  • Concurrency: 10 concurrent requests (unless approved otherwise)
  • Max request tokens: 65536 (unless approved otherwise)

How To Use

  1. Run:
./scripts/build.sh
  1. Set environment variables:
export PORT=3000
export OPENCLAW_OPENAI_API_KEY="your-k2think-token" # get token from https://platform.ifm.ai/
export OPENCLAW_GATEWAY_TOKEN="any-random-string"
export OPENCLAW_TELEGRAM_BOT_TOKEN="telegram-token"
  1. Run:
./scripts/start.sh
  1. Start chat with your bot from Telegram.

About

Deploy openclaw to VPS without docker through dPanel

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