openclaw使用本地llama.cpp

llama.cpp兼容openapi接口,自然可以作为openclaw的后端。

添加自定义provider同前:为openclaw增加自定义provider

反复修改,总是不能得到正确的model状态。

bash 复制代码
{
  "meta": {
    "lastTouchedVersion": "2026.2.3-1",
    "lastTouchedAt": "2026-02-05T12:16:30.399Z"
  },
  "wizard": {
    "lastRunAt": "2026-01-30T12:20:58.674Z",
    "lastRunVersion": "2026.1.29",
    "lastRunCommand": "onboard",
    "lastRunMode": "local"
  },
  "models": {
    "mode": "merge",
    "providers": {
      "llamacpp": {
        "baseUrl": "http://192.168.1.182:8087/v1",
        "apiKey": "no need key",
        "api": "openai-completions",
        "models": [
          {
            "id": "Qwen3-8B-Q6_K",
            "name": "Qwen3",
            "api": "openai-completions",
            "reasoning": true,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 32000
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "llamacpp/Qwen3-8B-Q6_K"
      },
      "models": {
        "llamacpp/Qwen3-8B-Q6_K": {
          "alias": "Qwen3"
        }
      },
      "maxConcurrent": 4,
      "subagents": {
        "maxConcurrent": 8
      }
    }
  },
  "messages": {
    "ackReactionScope": "group-mentions"
  },
  "commands": {
    "native": "auto",
    "nativeSkills": "auto"
  },
  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "loopback",
    "auth": {
      "mode": "token",
      "token": "a08c51975f90e3afa566f4af1de977a70b6e9630909cc8c0",
      "password": "a08c51975f90e3afa566f4af1de977a70b6e9630909cc8c0"
    },
    "tailscale": {
      "mode": "off",
      "resetOnExit": false
    }
  },
  "skills": {
    "install": {
      "nodeManager": "npm"
    }
  }
}

注意C:\Users\yusp7.openclaw\agents\main\agent\models.json,要与config\models\provider里一致,内容不能有重复provider名的:

bash 复制代码
{
  "providers": {
    "llamacpp": {
      "baseUrl": "http://192.168.1.182:8087/v1",
      "apiKey": "no need key",
      "api": "openai-completions",
      "models": [
        {
          "id": "Qwen3-8B-Q6_K",
          "name": "Qwen3",
          "api": "openai-completions",
          "reasoning": true,
          "input": [
            "text"
          ],
          "cost": {
            "input": 0,
            "output": 0,
            "cacheRead": 0,
            "cacheWrite": 0
          },
          "contextWindow": 262144,
          "maxTokens": 32000
        }
      ]
    }
  }
}

但是,为什么返回的对话不对?

相关推荐
QUDONG_biubiubiu6 小时前
OpenClaw怎么安装Summarize?新手一键配置教程
openclaw·安装summarize·summarize技能
翼龙云_cloud6 小时前
腾讯云代理商:如何用COS向量桶给OpenClaw实现智能路由?
云计算·腾讯云·openclaw·cos向量桶
JOJO___9 小时前
【2026】记录在windows编译llama.cpp步骤,AMD CPU本地部署千问3.5本地大模型,内存占用低
windows·cpu·amd·llama.cpp·llama.cpp编译·千问3.5·本地大语言模型
JCJC错别字检测-田春峰11 小时前
图片/PDF/Word文件一键转Markdown格式,支持 API Hermes Agent Skill
markdown·openclaw·hermes agent
AC赳赳老秦12 小时前
OpenClaw与Axure联动:自动生成原型图组件、批量修改原型样式,提升设计效率
python·web安全·ui·音视频·axure·photoshop·openclaw
AC赳赳老秦1 天前
OpenClaw与思维导图工具联动:自动生成工作规划脑图、拆解任务节点,适配职场管理
java·大数据·服务器·数据库·python·php·openclaw
曦云沐2 天前
MacOS 上使用 Metal GPU 加速编译 llama.cpp 完整指南
macos·llama.cpp
csdn_life182 天前
OpenClaw v2026.5.12+ 高级密钥管理:使用SecretRef实现真正的隐蔽存储
linux·openclaw
程序猿进阶2 天前
OpenClaw Mac 安装教程
java·macos·ai·架构·agent·openclaw
AI周红伟3 天前
All in Token,百度李彦宏指出:Token经济,阿里,百度,腾讯,字节,移动,电信,联通,华为,开启新的Token战争
大数据·人工智能·windows·百度·copilot·openclaw