kimi-integration

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Step-by-step guide for integrating Moonshot AI (Kimi) and Kimi Code models into Clawdbot. Use when someone asks how to add Kimi models, configure Moonshot AI, or set up Kimi for Coding in Clawdbot.

Install

mkdir -p .claude/skills/kimi-integration && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8556" && unzip -o skill.zip -d .claude/skills/kimi-integration && rm skill.zip

Installs to .claude/skills/kimi-integration

About this skill

Kimi Model Integration

Complete guide for adding Moonshot AI (Kimi) and Kimi Code models to Clawdbot.

Overview

Kimi offers two separate model families:

  1. Moonshot AI (Kimi K2) - General-purpose models via OpenAI-compatible API
  2. Kimi Code - Specialized coding model with dedicated endpoint

Both require API keys from different sources.

Prerequisites

  • Clawdbot installed and configured
  • API keys (see Getting API Keys section)

Getting API Keys

Moonshot AI (Kimi K2)

  1. Visit https://platform.moonshot.cn
  2. Register an account
  3. Navigate to API Keys section
  4. Create a new API key
  5. Copy the key (starts with sk-...)

Kimi Code

  1. Visit https://api.kimi.com/coding
  2. Register an account
  3. Navigate to API Keys section
  4. Create a new API key
  5. Copy the key (starts with sk-...)

Note: Moonshot and Kimi Code use separate keys and endpoints.

Integration Steps

Option 1: Moonshot AI (Kimi K2 models)

Step 1: Set environment variable

export MOONSHOT_API_KEY="sk-your-moonshot-key-here"

Or add to .env file:

echo 'MOONSHOT_API_KEY="sk-your-moonshot-key-here"' >> ~/.env

Step 2: Add provider configuration

Edit your clawdbot.json config:

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "moonshot/kimi-k2.5"
      }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "moonshot": {
        "baseUrl": "https://api.moonshot.cn/v1",
        "apiKey": "${MOONSHOT_API_KEY}",
        "api": "openai-completions",
        "models": [
          {
            "id": "moonlight-v1-32k",
            "name": "Moonlight V1 32K",
            "contextWindow": 32768
          },
          {
            "id": "moonshot-v1-8k",
            "name": "Moonshot V1 8K",
            "contextWindow": 8192
          },
          {
            "id": "moonshot-v1-32k",
            "name": "Moonshot V1 32K",
            "contextWindow": 32768
          },
          {
            "id": "moonshot-v1-128k",
            "name": "Moonshot V1 128K",
            "contextWindow": 131072
          },
          {
            "id": "kimi-k2.5",
            "name": "Kimi K2.5",
            "contextWindow": 200000
          }
        ]
      }
    }
  }
}

Step 3: Restart Clawdbot

clawdbot gateway restart

Step 4: Verify integration

clawdbot models list

You should see Moonshot models in the list.

Step 5: Use the model

Set as default:

clawdbot models set moonshot/kimi-k2.5

Or use model aliases in chat:

/model moonshot/kimi-k2.5

Option 2: Kimi Code (specialized coding model)

Step 1: Set environment variable

export KIMICODE_API_KEY="sk-your-kimicode-key-here"

Or add to .env:

echo 'KIMICODE_API_KEY="sk-your-kimicode-key-here"' >> ~/.env

Step 2: Add provider configuration

Edit your clawdbot.json config:

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "kimicode/kimi-for-coding"
      },
      "models": {
        "kimicode/kimi-for-coding": {
          "alias": "kimi"
        }
      }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "kimicode": {
        "baseUrl": "https://api.kimi.com/coding/v1",
        "apiKey": "${KIMICODE_API_KEY}",
        "api": "openai-completions",
        "models": [
          {
            "id": "kimi-for-coding",
            "name": "Kimi For Coding",
            "contextWindow": 200000,
            "maxTokens": 8192
          }
        ]
      }
    }
  }
}

Step 3: Restart Clawdbot

clawdbot gateway restart

Step 4: Verify integration

clawdbot models list

You should see kimicode/kimi-for-coding in the list.

Step 5: Use the model

Set as default:

clawdbot models set kimicode/kimi-for-coding

Or use model alias in chat:

/model kimi

Using Both Providers

You can configure both Moonshot and Kimi Code simultaneously:

{
  "agents": {
    "defaults": {
      "model": {
        "primary": "moonshot/kimi-k2.5"
      },
      "models": {
        "kimicode/kimi-for-coding": {
          "alias": "kimi"
        },
        "moonshot/kimi-k2.5": {
          "alias": "k25"
        }
      }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "moonshot": {
        "baseUrl": "https://api.moonshot.cn/v1",
        "apiKey": "${MOONSHOT_API_KEY}",
        "api": "openai-completions",
        "models": [
          { "id": "kimi-k2.5", "name": "Kimi K2.5", "contextWindow": 200000 }
        ]
      },
      "kimicode": {
        "baseUrl": "https://api.kimi.com/coding/v1",
        "apiKey": "${KIMICODE_API_KEY}",
        "api": "openai-completions",
        "models": [
          { "id": "kimi-for-coding", "name": "Kimi For Coding", "contextWindow": 200000 }
        ]
      }
    }
  }
}

Switch between models using aliases:

  • /model k25 - Kimi K2.5 (general)
  • /model kimi - Kimi for Coding (specialized)

Troubleshooting

Model not appearing in list

Check config syntax:

clawdbot gateway config.get | grep -A 20 moonshot

Verify API key is set:

echo $MOONSHOT_API_KEY
echo $KIMICODE_API_KEY

Authentication errors

  • Verify API key starts with sk-
  • Check key is valid on provider dashboard
  • Ensure correct base URL for each provider

Connection issues

Test API endpoint directly:

curl -X POST "https://api.moonshot.cn/v1/chat/completions" \
  -H "Authorization: Bearer $MOONSHOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "kimi-k2.5", "messages": [{"role": "user", "content": "test"}]}'

Model Recommendations

  • Kimi K2.5 (moonshot/kimi-k2.5) - Best for general tasks, 200K context
  • Kimi for Coding (kimicode/kimi-for-coding) - Specialized for code generation
  • Moonshot V1 128K (moonshot/moonshot-v1-128k) - Legacy model, 128K context

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