openclaw配置文件说明

刚开始使用openclaw配置提供商、模型时,都是通过命令设置的,命令太多,不太好记。当有个性化的需求时,可以直接改配置文件来添加模型等新的需求

演示内容:

模型选择,此处使用了千问供应商千问两个模型、ollama本地搭建的本地模型和在线模型、还有使用联通云供应商提供的glm、minimax、deepseek三个模型

配置通道

此处有默认的openclaw-tui,openclaw自己提供的,还有新增的qq机器人和飞书机器人,这两个都是通过各自官网提供的一键安装添加的

qq机器人:https://q.qq.com/qqbot/openclaw/login.html,或见个人写的文章

飞书机器人:https://www.feishu.cn/content/article/7613711414611463386,或见个人写的文章,只需要终端执行npx -y @larksuite/openclaw-lark-tools install,扫码登录即可

ollama使用参考之前的文章

单个供应商ollama下的模型,新增的话可参考

      "ollama": {
        "baseUrl": "http://127.0.0.1:11434/v1",
        "apiKey": "ollama-local",
        "api": "ollama",
        "models": [
          {
            "id": "deepseek-v3.2:cloud",
            "name": "deepseek-v3.2:cloud",
            "reasoning": true,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 204800,
            "maxTokens": 128000
          },
          {
            "id": "minimax-m2.5:cloud",
            "name": "minimax-m2.5:cloud",
            "reasoning": true,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 204800,
            "maxTokens": 128000
          },
          {
            "id": "qwen:1.8b",
            "name": "qwen:1.8b",
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 32768
          },
          {
            "id": "qwen3:4b",
            "name": "qwen3:4b",
            "reasoning": true,
            "input": [
              "text"
            ],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144
          }
        ]
      },

所有模型

默认模型为qwen-portal/coder-model

供应商有三家,参考配置

 

"agents": {
    "defaults": {
      "model": {
        "primary": "qwen-portal/coder-model"
      },
      "models": {
        "qwen-portal/coder-model": {
          "alias": "qwen"
        },
        "qwen-portal/vision-model": {},
        "ollama/minimax-m2.5:cloud": {
          "alias": "ollama-cloud"
        },
        "ollama/deepseek-v3.2:cloud": {
          "alias": "ollama-cloud2"
        },
        "ollama/qwen:1.8b": {
          "alias": "ollama-local-1.8b"
        },
        "ollama/qwen3:4b": {
          "alias": "ollama-local-4b"
        },
        "unicom-cloud/MiniMax-M2.5": {
          "alias": "unicom"
        },
        "unicom-cloud/DeepSeek-V3.1": {
          "alias": "unicom2"
        },
        "unicom-cloud/glm-5": {
          "alias": "unicom3"
        }
      },
      "workspace": "/root/.openclaw/workspace",
      "compaction": {
        "mode": "safeguard"
      },
      "maxConcurrent": 4,
      "subagents": {
        "maxConcurrent": 8
      }
    }

 

posted on 2026-03-18 15:21  赛博狗尾草  阅读(138)  评论(0)    收藏  举报

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