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
}
}
本文来自博客园,作者:赛博狗尾草,转载请注明原文链接:https://www.cnblogs.com/gpysir/p/19734253
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