OneAPI接入本地大模型+FastGPT调用本地大模型

将Ollama下载的本地大模型配置到OneAPI中,并通过FastGPT调用本地大模型完成对话。

OneAPI配置

新建令牌

新建渠道

FastGPT配置

配置docker-compose

配置令牌和OneAPI部署地址

配置config.json

配置调用的渠道名称和大模型名称

bash 复制代码
{
  "systemEnv": {
    "pluginBaseUrl": "",
    "vectorMaxProcess": 15,
    "qaMaxProcess": 15,
    "pgHNSWEfSearch": 100
  },
  "chatModels": [
	{
      "model": "qwen:1.8b", 
      "name": "lingmouAIOllama", 
      "maxContext": 8000, 
      "maxResponse": 4000, 
      "quoteMaxToken": 2000, 
      "maxTemperature": 1, 
      "vision": false, 
      "defaultSystemChatPrompt": "" 
    }

  ],
  "qaModels": [
  	{
      "model": "qwen:1.8b", 
      "name": "lingmouAIOllama", 
      "maxContext": 8000, 
      "maxResponse": 4000, 
      "quoteMaxToken": 2000, 
      "maxTemperature": 1, 
      "vision": false, 
      "defaultSystemChatPrompt": "" 
    }
  ],
  "cqModels": [
    {
      "model": "qwen:1.8b", 
      "name": "lingmouAIOllama", 
      "maxContext": 8000, 
      "maxResponse": 4000, 
      "quoteMaxToken": 2000, 
      "maxTemperature": 1, 
      "vision": false, 
      "defaultSystemChatPrompt": "" 
    }
  ],
  "extractModels": [
   	{
      "model": "qwen:1.8b", 
      "name": "lingmouAIOllama", 
      "maxContext": 8000, 
      "maxResponse": 4000, 
      "quoteMaxToken": 2000, 
      "maxTemperature": 1, 
      "vision": false, 
      "defaultSystemChatPrompt": "" 
    }
  ],
  "qgModels": [
    {
      "model": "gpt-3.5-turbo-1106",
      "name": "GPT35-1106",
      "maxContext": 1600,
      "maxResponse": 4000,
      "inputPrice": 0,
      "outputPrice": 0
    }
  ],
  "vectorModels": [
	{
      "model": "text-embedding-v1",
      "name": "lingmouAI",
      "inputPrice": 0,
      "outputPrice": 0,
      "defaultToken": 700,
      "maxToken": 3000,
      "weight": 100
    },
	{
      "model": "text-embedding-ada-002",
      "name": "lingmouAI",
      "inputPrice": 0,
      "outputPrice": 0,
      "defaultToken": 700,
      "maxToken": 3000,
      "weight": 100
    }
  ],
  "reRankModels": [],
  "audioSpeechModels": [
    {
      "model": "tts-1",
      "name": "OpenAI TTS1",
      "inputPrice": 0,
      "outputPrice": 0,
      "voices": [
        { "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
        { "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
        { "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
        { "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
        { "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
        { "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
      ]
    }
  ],
  "whisperModel": {
    "model": "whisper-1",
    "name": "Whisper1",
    "inputPrice": 0,
    "outputPrice": 0
  }
}

FastGPT测试

相关推荐
弯_弯2 小时前
AI 项目验收:别在上线那天才谈怎么算成
人工智能·企业ai落地·企业ai培训·fde
.道阻且长.3 小时前
AI 按数据模态分类:计算机视觉、NLP、语音处理,一篇理清
人工智能·计算机视觉·分类
Java后端的Ai之路3 小时前
RAG 还是 Agent 自主检索?Claude Code 删掉向量库之后,我把选型讲透了
开发语言·人工智能·prompt·agent·rag
笃行3504 小时前
用 Rokid AIUI 开发日语学习助手
人工智能
段一凡-华北理工大学6 小时前
工业智能体:从Codex/Claude到项目实战~系列文章06:一张蓝图看懂“工业智能体×高炉炼铁“
人工智能·claude·codex·工业智能体·高炉炼铁智能化·高炉智能体技术栈
怕浪猫6 小时前
十个人,630 万订阅:一张 AI 学习清单里的五种老师
人工智能
JonaHu7 小时前
5分钟搭建帮你赚钱的 AI API 网站:从品牌门户到客户 Key 交付
人工智能·api·开发者·ai创业·acedatacloud
Csvn7 小时前
模型挂了全站 502?降级链让它先保住“有响应”(R04)
人工智能·aigc·agent
isNotNullX7 小时前
仓储管理最全框架:6大流程、8项指标、10个管理动作、12个常见问题
大数据·人工智能
小白菜008 小时前
AI的理解
人工智能·机器学习