mirror of
https://github.com/labring/FastGPT.git
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feature: V4.11.1 (#5350)
* perf: system toolset & mcp (#5200) * feat: support system toolset * fix: type * fix: system tool config * chore: mcptool config migrate * refactor: mcp toolset * fix: fe type error * fix: type error * fix: show version * chore: support extract tool's secretInputConfig out of inputs * chore: compatible with old version mcp * chore: adjust * deps: update dependency @fastgpt-skd/plugin * fix: version * fix: some bug (#5316) * chore: compatible with old version mcp * fix: version * fix: compatible bug * fix: mcp object params * fix: type error * chore: update test cases * chore: remove log * fix: toolset node name * optimize app logs sort (#5310) * log keys config modal * multiple select * api * fontsize * code * chatid * fix build * fix * fix component * change name * log keys config * fix * delete unused * fix * perf: log code * perf: send auth code modal enter press * fix log (#5328) * perf: mcp toolset comment * perf: log ui * remove log (#5347) * doc * fix: action * remove log * fix: Table Optimization (#5319) * feat: table test: 1 * feat: table test: 2 * feat: table test: 3 * feat: table test: 4 * feat: table test : 5 把maxSize改回chunkSize * feat: table test : 6 都删了，只看maxSize * feat: table test : 7 恢复初始，接下来删除标签功能 * feat: table test : 8 删除标签功能 * feat: table test : 9 删除标签功能成功 * feat: table test : 10 继续调试，修改trainingStates * feat: table test : 11 修改第一步 * feat: table test : 12 修改第二步 * feat: table test : 13 修改了HtmlTable2Md * feat: table test : 14 修改表头分块规则 * feat: table test : 15 前面表格分的太细了 * feat: table test : 16 改着改着表头又不加了 * feat: table test : 17 用CUSTOM_SPLIT_SIGN不行，重新改 * feat: table test : 18 表头仍然还会多加，但现在分块搞的合理了终于 * feat: table test : 19 还是需要搞好表头问题，先保存一下调试情况 * feat: table test : 20 调试结束，看一下replace有没有问题，没问题就pr * feat: table test : 21 先把注释删了 * feat: table test : 21 注释replace都改了，下面切main分支看看情况 * feat: table test : 22 修改旧文件 * feat: table test : 23 修改测试文件 * feat: table test : 24 xlsx表格处理 * feat: table test : 25 刚才没保存先com了 * feat: table test : 26 fix * feat: table test : 27 先com一版调试 * feat: table test : 28 试试放format2csv里 * feat: table test : 29 xlsx解决 * feat: table test : 30 tablesplit解决 * feat: table test : 31 * feat: table test : 32 * perf: table split * perf: mcp old version compatibility (#5342) * fix: system-tool secret inputs * fix: rewrite runtime node i18n for system tool * perf: mcp old version compatibility * fix: splitPluginId * fix: old mcp toolId * fix: filter secret key * feat: support system toolset activation * chore: remove log * perf: mcp update * perf: rewrite toolset * fix:delete variable id (#5335) * perf: variable update * fix: multiple select ui * perf: model config move to plugin * fix: var conflit * perf: variable checker * Avoid empty number * update doc time * fix: test * fix: mcp object * update count app * update count app --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: heheer <zhiyu44@qq.com> Co-authored-by: colnii <1286949794@qq.com> Co-authored-by: dreamer6680 <1468683855@qq.com>
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||||
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||||
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||||
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||||
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||||
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||||
{
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||||
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||||
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||||
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||||
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||||
@@ -1,87 +0,0 @@
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||||
{
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||||
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||||
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||||
{
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||||
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@@ -1,4 +0,0 @@
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@@ -1,214 +0,0 @@
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{
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{
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||||
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||||
"name": "gemini-2.5-flash-preview-04-17",
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{
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{
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"showStopSign": true
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||||
},
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{
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"model": "gemini-2.0-flash-thinking-exp-1219",
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||||
"name": "gemini-2.0-flash-thinking-exp-1219",
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||||
"maxContext": 1000000,
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{
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"model": "gemini-2.0-flash-thinking-exp-01-21",
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"name": "gemini-2.0-flash-thinking-exp-01-21",
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{
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"model": "gemini-exp-1206",
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"name": "gemini-exp-1206",
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},
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{
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"name": "text-embedding-004",
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||||
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||||
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||||
"type": "embedding"
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||||
}
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||||
]
|
||||
}
|
||||
@@ -1,105 +0,0 @@
|
||||
{
|
||||
"provider": "Grok",
|
||||
"list": [
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||||
{
|
||||
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||||
"name": "grok-4",
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"maxResponse": 8000,
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"maxTemperature": 1,
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"defaultSystemChatPrompt": "",
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{
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{
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||||
"name": "grok-3-mini",
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||||
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"maxTemperature": 1,
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"showStopSign": true,
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"functionCall": false,
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"defaultSystemChatPrompt": "",
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"defaultConfig": {},
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"fieldMap": {},
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},
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{
|
||||
"model": "grok-3-mini-fast",
|
||||
"name": "grok-3-mini-fast",
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||||
"maxContext": 128000,
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||||
"maxResponse": 8000,
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"showTopP": true,
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"toolChoice": true,
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},
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{
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}
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]
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}
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||||
@@ -1,37 +0,0 @@
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||||
{
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||||
"provider": "Groq",
|
||||
"list": [
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||||
{
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||||
"model": "llama-3.1-8b-instant",
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"name": "Groq-llama-3.1-8b-instant",
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{
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"model": "llama-3.3-70b-versatile",
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}
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}
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@@ -1,131 +0,0 @@
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||||
{
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"provider": "Hunyuan",
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||||
"list": [
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{
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"model": "hunyuan-large",
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"name": "hunyuan-large",
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{
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"name": "hunyuan-pro",
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"showStopSign": true
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{
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"model": "hunyuan-standard",
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"name": "hunyuan-standard",
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{
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"model": "hunyuan-turbo-vision",
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||||
"name": "hunyuan-turbo-vision",
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{
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"model": "hunyuan-turbo",
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"name": "hunyuan-turbo",
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"showStopSign": true
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},
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{
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||||
"model": "hunyuan-vision",
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||||
"name": "hunyuan-vision",
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"showStopSign": true
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||||
},
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{
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||||
"model": "hunyuan-embedding",
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||||
"name": "hunyuan-embedding",
|
||||
"defaultToken": 512,
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||||
"maxToken": 1024,
|
||||
"type": "embedding"
|
||||
}
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||||
]
|
||||
}
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||||
@@ -1,39 +0,0 @@
|
||||
{
|
||||
"provider": "Intern",
|
||||
"list": [
|
||||
{
|
||||
"model": "internlm2-pro-chat",
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||||
"name": "internlm2-pro-chat",
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||||
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||||
"maxResponse": 8000,
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"showStopSign": true
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},
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{
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"model": "internlm3-8b-instruct",
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||||
"name": "internlm3-8b-instruct",
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||||
"maxContext": 32000,
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||||
"maxResponse": 8000,
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}
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]
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}
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@@ -1,4 +0,0 @@
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||||
{
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||||
"provider": "Meta",
|
||||
"list": []
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||||
}
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||||
@@ -1,230 +0,0 @@
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||||
{
|
||||
"provider": "MiniMax",
|
||||
"list": [
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||||
{
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||||
"model": "MiniMax-Text-01",
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||||
"name": "MiniMax-Text-01",
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},
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{
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"model": "abab6.5s-chat",
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"name": "MiniMax-abab6.5s",
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||||
},
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||||
{
|
||||
"model": "speech-01-turbo",
|
||||
"name": "speech-01-turbo",
|
||||
"voices": [
|
||||
{
|
||||
"label": "male-qn-qingse",
|
||||
"value": "male-qn-qingse"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-jingying",
|
||||
"value": "male-qn-jingying"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-badao",
|
||||
"value": "male-qn-badao"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-daxuesheng",
|
||||
"value": "male-qn-daxuesheng"
|
||||
},
|
||||
{
|
||||
"label": "female-shaonv",
|
||||
"value": "female-shaonv"
|
||||
},
|
||||
{
|
||||
"label": "female-yujie",
|
||||
"value": "female-yujie"
|
||||
},
|
||||
{
|
||||
"label": "female-chengshu",
|
||||
"value": "female-chengshu"
|
||||
},
|
||||
{
|
||||
"label": "female-tianmei",
|
||||
"value": "female-tianmei"
|
||||
},
|
||||
{
|
||||
"label": "presenter_male",
|
||||
"value": "presenter_male"
|
||||
},
|
||||
{
|
||||
"label": "presenter_female",
|
||||
"value": "presenter_female"
|
||||
},
|
||||
{
|
||||
"label": "audiobook_male_1",
|
||||
"value": "audiobook_male_1"
|
||||
},
|
||||
{
|
||||
"label": "audiobook_male_2",
|
||||
"value": "audiobook_male_2"
|
||||
},
|
||||
{
|
||||
"label": "audiobook_female_1",
|
||||
"value": "audiobook_female_1"
|
||||
},
|
||||
{
|
||||
"label": "audiobook_female_2",
|
||||
"value": "audiobook_female_2"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-qingse-jingpin",
|
||||
"value": "male-qn-qingse-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-jingying-jingpin",
|
||||
"value": "male-qn-jingying-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-badao-jingpin",
|
||||
"value": "male-qn-badao-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "male-qn-daxuesheng-jingpin",
|
||||
"value": "male-qn-daxuesheng-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "female-shaonv-jingpin",
|
||||
"value": "female-shaonv-jingpin"
|
||||
},
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||||
{
|
||||
"label": "female-yujie-jingpin",
|
||||
"value": "female-yujie-jingpin"
|
||||
},
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||||
{
|
||||
"label": "female-chengshu-jingpin",
|
||||
"value": "female-chengshu-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "female-tianmei-jingpin",
|
||||
"value": "female-tianmei-jingpin"
|
||||
},
|
||||
{
|
||||
"label": "clever_boy",
|
||||
"value": "clever_boy"
|
||||
},
|
||||
{
|
||||
"label": "cute_boy",
|
||||
"value": "cute_boy"
|
||||
},
|
||||
{
|
||||
"label": "lovely_girl",
|
||||
"value": "lovely_girl"
|
||||
},
|
||||
{
|
||||
"label": "cartoon_pig",
|
||||
"value": "cartoon_pig"
|
||||
},
|
||||
{
|
||||
"label": "bingjiao_didi",
|
||||
"value": "bingjiao_didi"
|
||||
},
|
||||
{
|
||||
"label": "junlang_nanyou",
|
||||
"value": "junlang_nanyou"
|
||||
},
|
||||
{
|
||||
"label": "chunzhen_xuedi",
|
||||
"value": "chunzhen_xuedi"
|
||||
},
|
||||
{
|
||||
"label": "lengdan_xiongzhang",
|
||||
"value": "lengdan_xiongzhang"
|
||||
},
|
||||
{
|
||||
"label": "badao_shaoye",
|
||||
"value": "badao_shaoye"
|
||||
},
|
||||
{
|
||||
"label": "tianxin_xiaoling",
|
||||
"value": "tianxin_xiaoling"
|
||||
},
|
||||
{
|
||||
"label": "qiaopi_mengmei",
|
||||
"value": "qiaopi_mengmei"
|
||||
},
|
||||
{
|
||||
"label": "wumei_yujie",
|
||||
"value": "wumei_yujie"
|
||||
},
|
||||
{
|
||||
"label": "diadia_xuemei",
|
||||
"value": "diadia_xuemei"
|
||||
},
|
||||
{
|
||||
"label": "danya_xuejie",
|
||||
"value": "danya_xuejie"
|
||||
},
|
||||
{
|
||||
"label": "Santa_Claus",
|
||||
"value": "Santa_Claus"
|
||||
},
|
||||
{
|
||||
"label": "Grinch",
|
||||
"value": "Grinch"
|
||||
},
|
||||
{
|
||||
"label": "Rudolph",
|
||||
"value": "Rudolph"
|
||||
},
|
||||
{
|
||||
"label": "Arnold",
|
||||
"value": "Arnold"
|
||||
},
|
||||
{
|
||||
"label": "Charming_Santa",
|
||||
"value": "Charming_Santa"
|
||||
},
|
||||
{
|
||||
"label": "Charming_Lady",
|
||||
"value": "Charming_Lady"
|
||||
},
|
||||
{
|
||||
"label": "Sweet_Girl",
|
||||
"value": "Sweet_Girl"
|
||||
},
|
||||
{
|
||||
"label": "Cute_Elf",
|
||||
"value": "Cute_Elf"
|
||||
},
|
||||
{
|
||||
"label": "Attractive_Girl",
|
||||
"value": "Attractive_Girl"
|
||||
},
|
||||
{
|
||||
"label": "Serene_Woman",
|
||||
"value": "Serene_Woman"
|
||||
}
|
||||
],
|
||||
"type": "tts"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,73 +0,0 @@
|
||||
{
|
||||
"provider": "MistralAI",
|
||||
"list": [
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||||
{
|
||||
"model": "ministral-3b-latest",
|
||||
"name": "Ministral-3b-latest",
|
||||
"maxContext": 130000,
|
||||
"maxResponse": 8000,
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"quoteMaxToken": 60000,
|
||||
"maxTemperature": 1.2,
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||||
"vision": false,
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||||
"toolChoice": true,
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||||
"functionCall": false,
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||||
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||||
"defaultConfig": {},
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"fieldMap": {},
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"type": "llm",
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"showTopP": true,
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"showStopSign": true
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},
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{
|
||||
"model": "ministral-8b-latest",
|
||||
"name": "Ministral-8b-latest",
|
||||
"maxContext": 130000,
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||||
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},
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||||
{
|
||||
"model": "mistral-large-latest",
|
||||
"name": "Mistral-large-latest",
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||||
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@@ -1,440 +0,0 @@
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@@ -1,194 +0,0 @@
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|
||||
"value": "FunAudioLLM/CosyVoice2-0.5B:benjamin"
|
||||
},
|
||||
{
|
||||
"label": "charles",
|
||||
"value": "FunAudioLLM/CosyVoice2-0.5B:charles"
|
||||
},
|
||||
{
|
||||
"label": "claire",
|
||||
"value": "FunAudioLLM/CosyVoice2-0.5B:claire"
|
||||
},
|
||||
{
|
||||
"label": "david",
|
||||
"value": "FunAudioLLM/CosyVoice2-0.5B:david"
|
||||
},
|
||||
{
|
||||
"label": "diana",
|
||||
"value": "FunAudioLLM/CosyVoice2-0.5B:diana"
|
||||
}
|
||||
],
|
||||
"type": "tts"
|
||||
},
|
||||
{
|
||||
"model": "RVC-Boss/GPT-SoVITS",
|
||||
"name": "RVC-Boss/GPT-SoVITS",
|
||||
"voices": [
|
||||
{
|
||||
"label": "alex",
|
||||
"value": "RVC-Boss/GPT-SoVITS:alex"
|
||||
},
|
||||
{
|
||||
"label": "anna",
|
||||
"value": "RVC-Boss/GPT-SoVITS:anna"
|
||||
},
|
||||
{
|
||||
"label": "bella",
|
||||
"value": "RVC-Boss/GPT-SoVITS:bella"
|
||||
},
|
||||
{
|
||||
"label": "benjamin",
|
||||
"value": "RVC-Boss/GPT-SoVITS:benjamin"
|
||||
},
|
||||
{
|
||||
"label": "charles",
|
||||
"value": "RVC-Boss/GPT-SoVITS:charles"
|
||||
},
|
||||
{
|
||||
"label": "claire",
|
||||
"value": "RVC-Boss/GPT-SoVITS:claire"
|
||||
},
|
||||
{
|
||||
"label": "david",
|
||||
"value": "RVC-Boss/GPT-SoVITS:david"
|
||||
},
|
||||
{
|
||||
"label": "diana",
|
||||
"value": "RVC-Boss/GPT-SoVITS:diana"
|
||||
}
|
||||
],
|
||||
"type": "tts"
|
||||
},
|
||||
{
|
||||
"model": "fishaudio/fish-speech-1.5",
|
||||
"name": "fish-speech-1.5",
|
||||
"voices": [
|
||||
{
|
||||
"label": "alex",
|
||||
"value": "fishaudio/fish-speech-1.5:alex"
|
||||
},
|
||||
{
|
||||
"label": "anna",
|
||||
"value": "fishaudio/fish-speech-1.5:anna"
|
||||
},
|
||||
{
|
||||
"label": "bella",
|
||||
"value": "fishaudio/fish-speech-1.5:bella"
|
||||
},
|
||||
{
|
||||
"label": "benjamin",
|
||||
"value": "fishaudio/fish-speech-1.5:benjamin"
|
||||
},
|
||||
{
|
||||
"label": "charles",
|
||||
"value": "fishaudio/fish-speech-1.5:charles"
|
||||
},
|
||||
{
|
||||
"label": "claire",
|
||||
"value": "fishaudio/fish-speech-1.5:claire"
|
||||
},
|
||||
{
|
||||
"label": "david",
|
||||
"value": "fishaudio/fish-speech-1.5:david"
|
||||
},
|
||||
{
|
||||
"label": "diana",
|
||||
"value": "fishaudio/fish-speech-1.5:diana"
|
||||
}
|
||||
],
|
||||
"type": "tts"
|
||||
},
|
||||
{
|
||||
"model": "FunAudioLLM/SenseVoiceSmall",
|
||||
"name": "FunAudioLLM/SenseVoiceSmall",
|
||||
"type": "stt"
|
||||
},
|
||||
{
|
||||
"model": "BAAI/bge-reranker-v2-m3",
|
||||
"name": "BAAI/bge-reranker-v2-m3",
|
||||
"type": "rerank"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,99 +0,0 @@
|
||||
{
|
||||
"provider": "SparkDesk",
|
||||
"list": [
|
||||
{
|
||||
"model": "lite",
|
||||
"name": "SparkDesk-lite",
|
||||
"maxContext": 32000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 32000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "generalv3",
|
||||
"name": "SparkDesk-Pro",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 8000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "pro-128k",
|
||||
"name": "SparkDesk-Pro-128k",
|
||||
"maxContext": 128000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 128000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "generalv3.5",
|
||||
"name": "SparkDesk-max",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 8000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "max-32k",
|
||||
"name": "SparkDesk-max-32k",
|
||||
"maxContext": 32000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 32000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {},
|
||||
"fieldMap": {},
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "4.0Ultra",
|
||||
"name": "SparkDesk-v4.0 Ultra",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 8000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {},
|
||||
"fieldMap": {},
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,253 +0,0 @@
|
||||
{
|
||||
"provider": "StepFun",
|
||||
"list": [
|
||||
{
|
||||
"model": "step-1-flash",
|
||||
"name": "step-1-flash",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 6000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1-8k",
|
||||
"name": "step-1-8k",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 8000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1-32k",
|
||||
"name": "step-1-32k",
|
||||
"maxContext": 32000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 32000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1-128k",
|
||||
"name": "step-1-128k",
|
||||
"maxContext": 128000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 128000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1-256k",
|
||||
"name": "step-1-256k",
|
||||
"maxContext": 256000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 256000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1o-vision-32k",
|
||||
"name": "step-1o-vision-32k",
|
||||
"maxContext": 32000,
|
||||
"quoteMaxToken": 32000,
|
||||
"maxResponse": 8000,
|
||||
"maxTemperature": 2,
|
||||
"vision": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1v-8k",
|
||||
"name": "step-1v-8k",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 8000,
|
||||
"quoteMaxToken": 8000,
|
||||
"maxTemperature": 2,
|
||||
"vision": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-1v-32k",
|
||||
"name": "step-1v-32k",
|
||||
"maxContext": 32000,
|
||||
"quoteMaxToken": 32000,
|
||||
"maxResponse": 8000,
|
||||
"maxTemperature": 2,
|
||||
"vision": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-2-mini",
|
||||
"name": "step-2-mini",
|
||||
"maxContext": 8000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 6000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-2-16k",
|
||||
"name": "step-2-16k",
|
||||
"maxContext": 16000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 4000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-2-16k-exp",
|
||||
"name": "step-2-16k-exp",
|
||||
"maxContext": 16000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 4000,
|
||||
"maxTemperature": 2,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "step-tts-mini",
|
||||
"name": "step-tts-mini",
|
||||
"voices": [
|
||||
{
|
||||
"label": "cixingnansheng",
|
||||
"value": "cixingnansheng"
|
||||
},
|
||||
{
|
||||
"label": "zhengpaiqingnian",
|
||||
"value": "zhengpaiqingnian"
|
||||
},
|
||||
{
|
||||
"label": "yuanqinansheng",
|
||||
"value": "yuanqinansheng"
|
||||
},
|
||||
{
|
||||
"label": "qingniandaxuesheng",
|
||||
"value": "qingniandaxuesheng"
|
||||
},
|
||||
{
|
||||
"label": "boyinnansheng",
|
||||
"value": "boyinnansheng"
|
||||
},
|
||||
{
|
||||
"label": "ruyananshi",
|
||||
"value": "ruyananshi"
|
||||
},
|
||||
{
|
||||
"label": "shenchennanyin",
|
||||
"value": "shenchennanyin"
|
||||
},
|
||||
{
|
||||
"label": "qinqienvsheng",
|
||||
"value": "qinqienvsheng"
|
||||
},
|
||||
{
|
||||
"label": "wenrounvsheng",
|
||||
"value": "wenrounvsheng"
|
||||
},
|
||||
{
|
||||
"label": "jilingshaonv",
|
||||
"value": "jilingshaonv"
|
||||
},
|
||||
{
|
||||
"label": "yuanqishaonv",
|
||||
"value": "yuanqishaonv"
|
||||
},
|
||||
{
|
||||
"label": "ruanmengnvsheng",
|
||||
"value": "ruanmengnvsheng"
|
||||
},
|
||||
{
|
||||
"label": "youyanvsheng",
|
||||
"value": "youyanvsheng"
|
||||
},
|
||||
{
|
||||
"label": "lengyanyujie",
|
||||
"value": "lengyanyujie"
|
||||
},
|
||||
{
|
||||
"label": "shuangkuaijiejie",
|
||||
"value": "shuangkuaijiejie"
|
||||
},
|
||||
{
|
||||
"label": "wenjingxuejie",
|
||||
"value": "wenjingxuejie"
|
||||
},
|
||||
{
|
||||
"label": "linjiajiejie",
|
||||
"value": "linjiajiejie"
|
||||
},
|
||||
{
|
||||
"label": "linjiameimei",
|
||||
"value": "linjiameimei"
|
||||
},
|
||||
{
|
||||
"label": "zhixingjiejie",
|
||||
"value": "zhixingjiejie"
|
||||
}
|
||||
],
|
||||
"type": "tts"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,39 +0,0 @@
|
||||
{
|
||||
"provider": "Yi",
|
||||
"list": [
|
||||
{
|
||||
"model": "yi-lightning",
|
||||
"name": "yi-lightning",
|
||||
"maxContext": 16000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 12000,
|
||||
"maxTemperature": 1,
|
||||
"vision": false,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {},
|
||||
"fieldMap": {},
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
},
|
||||
{
|
||||
"model": "yi-vision-v2",
|
||||
"name": "yi-vision-v2",
|
||||
"maxContext": 16000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 12000,
|
||||
"maxTemperature": 1,
|
||||
"vision": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {},
|
||||
"fieldMap": {},
|
||||
"type": "llm",
|
||||
"showTopP": true,
|
||||
"showStopSign": true
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,22 +0,0 @@
|
||||
{
|
||||
"provider": "Jina",
|
||||
"list": [
|
||||
{
|
||||
"type": "embedding",
|
||||
"model": "jina-embeddings-v3",
|
||||
"name": "jina-embeddings-v3",
|
||||
"defaultToken": 512,
|
||||
"maxToken": 8000
|
||||
},
|
||||
{
|
||||
"model": "jina-reranker-v2-base-multilingual",
|
||||
"name": "jina-reranker-v2-base-multilingual",
|
||||
"type": "rerank"
|
||||
},
|
||||
{
|
||||
"model": "jina-reranker-m0",
|
||||
"name": "jina-reranker-m0",
|
||||
"type": "rerank"
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,5 +1,3 @@
|
||||
import path from 'path';
|
||||
import * as fs from 'fs';
|
||||
import { type SystemModelItemType } from '../type';
|
||||
import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
|
||||
import { MongoSystemModel } from './schema';
|
||||
@@ -11,34 +9,16 @@ import {
|
||||
type RerankModelItemType
|
||||
} from '@fastgpt/global/core/ai/model.d';
|
||||
import { debounce } from 'lodash';
|
||||
import {
|
||||
getModelProvider,
|
||||
type ModelProviderIdType,
|
||||
type ModelProviderType
|
||||
} from '@fastgpt/global/core/ai/provider';
|
||||
import { getModelProvider } from '@fastgpt/global/core/ai/provider';
|
||||
import { findModelFromAlldata } from '../model';
|
||||
import {
|
||||
reloadFastGPTConfigBuffer,
|
||||
updateFastGPTConfigBuffer
|
||||
} from '../../../common/system/config/controller';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { pluginClient } from '../../../thirdProvider/fastgptPlugin';
|
||||
import { setCron } from '../../../common/system/cron';
|
||||
|
||||
const getModelConfigBaseUrl = () => {
|
||||
const currentFileUrl = new URL(import.meta.url);
|
||||
const filePath = decodeURIComponent(
|
||||
process.platform === 'win32'
|
||||
? currentFileUrl.pathname.substring(1) // Remove leading slash on Windows
|
||||
: currentFileUrl.pathname
|
||||
);
|
||||
const modelsPath = path.join(path.dirname(filePath), 'provider');
|
||||
return modelsPath;
|
||||
};
|
||||
|
||||
/*
|
||||
TODO: 分优先级读取：
|
||||
1. 有外部挂载目录，则读取外部的
|
||||
2. 没有外部挂载目录，则读取本地的。然后试图拉取云端的进行覆盖。
|
||||
*/
|
||||
export const loadSystemModels = async (init = false) => {
|
||||
const pushModel = (model: SystemModelItemType) => {
|
||||
global.systemModelList.push(model);
|
||||
@@ -108,17 +88,19 @@ export const loadSystemModels = async (init = false) => {
|
||||
global.systemDefaultModel = {};
|
||||
|
||||
try {
|
||||
const dbModels = await MongoSystemModel.find({}).lean();
|
||||
// Get model from db and plugin
|
||||
const [dbModels, systemModels] = await Promise.all([
|
||||
MongoSystemModel.find({}).lean(),
|
||||
pluginClient.model.list().then((res) => {
|
||||
if (res.status === 200) return res.body;
|
||||
console.error('Get fastGPT plugin model error');
|
||||
return [];
|
||||
})
|
||||
]);
|
||||
|
||||
// Load system model from local
|
||||
const modelsPath = getModelConfigBaseUrl();
|
||||
const providerList = await fs.promises.readdir(modelsPath);
|
||||
await Promise.all(
|
||||
providerList.map(async (name) => {
|
||||
const fileContent = (await import(`./provider/${name}`))?.default as {
|
||||
provider: ModelProviderIdType;
|
||||
list: SystemModelItemType[];
|
||||
};
|
||||
systemModels.map(async (model) => {
|
||||
const mergeObject = (obj1: any, obj2: any) => {
|
||||
if (!obj1 && !obj2) return undefined;
|
||||
const formatObj1 = typeof obj1 === 'object' ? obj1 : {};
|
||||
@@ -126,27 +108,24 @@ export const loadSystemModels = async (init = false) => {
|
||||
return { ...formatObj1, ...formatObj2 };
|
||||
};
|
||||
|
||||
fileContent.list.forEach((fileModel) => {
|
||||
const dbModel = dbModels.find((item) => item.model === fileModel.model);
|
||||
const dbModel = dbModels.find((item) => item.model === model.model);
|
||||
|
||||
const modelData: any = {
|
||||
...fileModel,
|
||||
...dbModel?.metadata,
|
||||
// @ts-ignore
|
||||
defaultConfig: mergeObject(fileModel.defaultConfig, dbModel?.metadata?.defaultConfig),
|
||||
// @ts-ignore
|
||||
fieldMap: mergeObject(fileModel.fieldMap, dbModel?.metadata?.fieldMap),
|
||||
provider: getModelProvider(dbModel?.metadata?.provider || fileContent.provider).id,
|
||||
type: dbModel?.metadata?.type || fileModel.type,
|
||||
isCustom: false
|
||||
};
|
||||
|
||||
pushModel(modelData);
|
||||
});
|
||||
const modelData: any = {
|
||||
...model,
|
||||
...dbModel?.metadata,
|
||||
// @ts-ignore
|
||||
defaultConfig: mergeObject(model.defaultConfig, dbModel?.metadata?.defaultConfig),
|
||||
// @ts-ignore
|
||||
fieldMap: mergeObject(model.fieldMap, dbModel?.metadata?.fieldMap),
|
||||
provider: getModelProvider(dbModel?.metadata?.provider || (model.provider as any)).id,
|
||||
type: dbModel?.metadata?.type || model.type,
|
||||
isCustom: false
|
||||
};
|
||||
pushModel(modelData);
|
||||
})
|
||||
);
|
||||
|
||||
// Custom model
|
||||
// Custom model(Not in system config)
|
||||
dbModels.forEach((dbModel) => {
|
||||
if (global.systemModelList.find((item) => item.model === dbModel.model)) return;
|
||||
|
||||
@@ -190,7 +169,18 @@ export const loadSystemModels = async (init = false) => {
|
||||
return providerA.order - providerB.order;
|
||||
});
|
||||
|
||||
console.log('Load models success', JSON.stringify(global.systemActiveModelList, null, 2));
|
||||
console.log(
|
||||
`Load models success, total: ${global.systemModelList.length}, active: ${global.systemActiveModelList.length}`,
|
||||
JSON.stringify(
|
||||
global.systemActiveModelList.map((item) => ({
|
||||
provider: item.provider,
|
||||
model: item.model,
|
||||
name: item.name
|
||||
})),
|
||||
null,
|
||||
2
|
||||
)
|
||||
);
|
||||
} catch (error) {
|
||||
console.error('Load models error', error);
|
||||
// @ts-ignore
|
||||
@@ -205,17 +195,16 @@ export const getSystemModelConfig = async (model: string): Promise<SystemModelIt
|
||||
if (modelData.isCustom) return Promise.reject('Custom model not data');
|
||||
|
||||
// Read file
|
||||
const fileContent = (await import(`./provider/${modelData.provider}`))?.default as {
|
||||
provider: ModelProviderType;
|
||||
list: SystemModelItemType[];
|
||||
};
|
||||
const modelDefaulConfig = await pluginClient.model.list().then((res) => {
|
||||
if (res.status === 200) {
|
||||
return res.body.find((item) => item.model === model) as SystemModelItemType;
|
||||
}
|
||||
|
||||
const config = fileContent.list.find((item) => item.model === model);
|
||||
|
||||
if (!config) return Promise.reject('Model config is not found');
|
||||
return Promise.reject('Can not get model config from plugin');
|
||||
});
|
||||
|
||||
return {
|
||||
...config,
|
||||
...modelDefaulConfig,
|
||||
provider: modelData.provider,
|
||||
isCustom: false
|
||||
};
|
||||
@@ -246,3 +235,11 @@ export const updatedReloadSystemModel = async () => {
|
||||
// 3. 延迟1秒，等待其他节点刷新
|
||||
await delay(1000);
|
||||
};
|
||||
export const cronRefreshModels = async () => {
|
||||
setCron('*/5 * * * *', async () => {
|
||||
// 1. 更新模型（所有节点都会触发）
|
||||
await loadSystemModels(true);
|
||||
// 2. 更新缓存（仅主节点触发）
|
||||
await updateFastGPTConfigBuffer();
|
||||
});
|
||||
};
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { type AppSchema } from '@fastgpt/global/core/app/type';
|
||||
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
|
||||
import { MongoApp } from './schema';
|
||||
import type { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
|
||||
import { encryptSecretValue, storeSecretValue } from '../../common/secret/utils';
|
||||
@@ -19,6 +20,7 @@ import { MongoResourcePermission } from '../../support/permission/schema';
|
||||
import { PerResourceTypeEnum } from '@fastgpt/global/support/permission/constant';
|
||||
import { removeImageByPath } from '../../common/file/image/controller';
|
||||
import { mongoSessionRun } from '../../common/mongo/sessionRun';
|
||||
import { MongoAppLogKeys } from './logs/logkeysSchema';
|
||||
|
||||
export const beforeUpdateAppFormat = ({ nodes }: { nodes?: StoreNodeItemType[] }) => {
|
||||
if (!nodes) return;
|
||||
@@ -140,6 +142,10 @@ export const onDelOneApp = async ({
|
||||
fields: '_id avatar'
|
||||
});
|
||||
|
||||
const deletedAppIds = apps
|
||||
.filter((app) => app.type !== AppTypeEnum.folder)
|
||||
.map((app) => String(app._id));
|
||||
|
||||
// Remove eval job
|
||||
const evalJobs = await MongoEvaluation.find(
|
||||
{
|
||||
@@ -191,6 +197,10 @@ export const onDelOneApp = async ({
|
||||
resourceId: appId
|
||||
}).session(session);
|
||||
|
||||
await MongoAppLogKeys.deleteMany({
|
||||
appId
|
||||
}).session(session);
|
||||
|
||||
// delete app
|
||||
await MongoApp.deleteOne(
|
||||
{
|
||||
@@ -204,8 +214,10 @@ export const onDelOneApp = async ({
|
||||
};
|
||||
|
||||
if (session) {
|
||||
return del(session);
|
||||
await del(session);
|
||||
return deletedAppIds;
|
||||
}
|
||||
|
||||
return mongoSessionRun(del);
|
||||
await mongoSessionRun(del);
|
||||
return deletedAppIds;
|
||||
};
|
||||
|
||||
@@ -0,0 +1,32 @@
|
||||
import type { AppLogKeysSchemaType } from '@fastgpt/global/core/app/logs/type';
|
||||
import { connectionMongo, getMongoModel } from '../../../common/mongo';
|
||||
import { AppCollectionName } from '../schema';
|
||||
import { TeamCollectionName } from '@fastgpt/global/support/user/team/constant';
|
||||
|
||||
const { Schema } = connectionMongo;
|
||||
|
||||
export const AppLogKeysCollectionEnum = 'app_log_keys';
|
||||
|
||||
const AppLogKeysSchema = new Schema({
|
||||
teamId: {
|
||||
type: Schema.Types.ObjectId,
|
||||
ref: TeamCollectionName,
|
||||
required: true
|
||||
},
|
||||
appId: {
|
||||
type: Schema.Types.ObjectId,
|
||||
ref: AppCollectionName,
|
||||
required: true
|
||||
},
|
||||
logKeys: {
|
||||
type: Array,
|
||||
required: true
|
||||
}
|
||||
});
|
||||
|
||||
AppLogKeysSchema.index({ teamId: 1, appId: 1 });
|
||||
|
||||
export const MongoAppLogKeys = getMongoModel<AppLogKeysSchemaType>(
|
||||
AppLogKeysCollectionEnum,
|
||||
AppLogKeysSchema
|
||||
);
|
||||
@@ -1,9 +1,13 @@
|
||||
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
|
||||
import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';
|
||||
import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';
|
||||
import type { AppSchema } from '@fastgpt/global/core/app/type';
|
||||
import { type McpToolConfigType } from '@fastgpt/global/core/app/type';
|
||||
import { addLog } from '../../common/system/log';
|
||||
import { retryFn } from '@fastgpt/global/common/system/utils';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { MongoApp } from './schema';
|
||||
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
|
||||
export class MCPClient {
|
||||
private client: Client;
|
||||
@@ -128,3 +132,35 @@ export class MCPClient {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const getMCPChildren = async (app: AppSchema) => {
|
||||
const isNewMcp = !!app.modules[0].toolConfig?.mcpToolSet;
|
||||
const id = String(app._id);
|
||||
|
||||
if (isNewMcp) {
|
||||
return (
|
||||
app.modules[0].toolConfig?.mcpToolSet?.toolList.map((item) => ({
|
||||
...item,
|
||||
id: `${PluginSourceEnum.mcp}-${id}/${item.name}`,
|
||||
avatar: app.avatar
|
||||
})) ?? []
|
||||
);
|
||||
} else {
|
||||
// Old mcp toolset
|
||||
const children = await MongoApp.find({
|
||||
teamId: app.teamId,
|
||||
parentId: id
|
||||
}).lean();
|
||||
|
||||
return children.map((item) => {
|
||||
const node = item.modules[0];
|
||||
const toolData: McpToolDataType = node.inputs[0].value;
|
||||
|
||||
return {
|
||||
avatar: app.avatar,
|
||||
id: `${PluginSourceEnum.mcp}-${id}/${item.name}`,
|
||||
...toolData
|
||||
};
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,6 +1,10 @@
|
||||
import { type FlowNodeTemplateType } from '@fastgpt/global/core/workflow/type/node.d';
|
||||
import type {
|
||||
NodeToolConfigType,
|
||||
FlowNodeTemplateType
|
||||
} from '@fastgpt/global/core/workflow/type/node.d';
|
||||
import {
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '@fastgpt/global/core/workflow/node/constant';
|
||||
import {
|
||||
@@ -28,7 +32,7 @@ import {
|
||||
NodeInputKeyEnum
|
||||
} from '@fastgpt/global/core/workflow/constants';
|
||||
import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { getSystemToolList } from '../tool/api';
|
||||
import { APIGetSystemToolList } from '../tool/api';
|
||||
import { Types } from '../../../common/mongo';
|
||||
import type { SystemPluginConfigSchemaType } from './type';
|
||||
import type {
|
||||
@@ -37,37 +41,11 @@ import type {
|
||||
} from '@fastgpt/global/core/workflow/type/io';
|
||||
import { isProduction } from '@fastgpt/global/common/system/constants';
|
||||
import { Output_Template_Error_Message } from '@fastgpt/global/core/workflow/template/output';
|
||||
|
||||
/**
|
||||
plugin id rule:
|
||||
- personal: ObjectId
|
||||
- commercial: commercial-ObjectId
|
||||
- systemtool: systemTool-id
|
||||
(deprecated) community: community-id
|
||||
*/
|
||||
export function splitCombinePluginId(id: string) {
|
||||
const splitRes = id.split('-');
|
||||
if (splitRes.length === 1) {
|
||||
// app id
|
||||
return {
|
||||
source: PluginSourceEnum.personal,
|
||||
pluginId: id
|
||||
};
|
||||
}
|
||||
|
||||
const [source, pluginId] = id.split('-') as [PluginSourceEnum, string | undefined];
|
||||
if (!source || !pluginId) throw new Error('pluginId not found');
|
||||
|
||||
// 兼容4.10.0 之前的插件
|
||||
if (source === 'community' || id === 'commercial-dalle3') {
|
||||
return {
|
||||
source: PluginSourceEnum.systemTool,
|
||||
pluginId: `${PluginSourceEnum.systemTool}-${pluginId}`
|
||||
};
|
||||
}
|
||||
|
||||
return { source, pluginId: id };
|
||||
}
|
||||
import type { RuntimeNodeItemType } from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
|
||||
import { getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
|
||||
import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
|
||||
import { getMCPChildren } from '../mcp';
|
||||
|
||||
type ChildAppType = SystemPluginTemplateItemType & {
|
||||
teamId?: string;
|
||||
@@ -81,77 +59,102 @@ export const getSystemPluginByIdAndVersionId = async (
|
||||
pluginId: string,
|
||||
versionId?: string
|
||||
): Promise<ChildAppType> => {
|
||||
const plugin = await (async (): Promise<ChildAppType> => {
|
||||
const plugin = await getSystemPluginById(pluginId);
|
||||
const plugin = await getSystemToolById(pluginId);
|
||||
|
||||
// Admin selected system tool
|
||||
if (plugin.associatedPluginId) {
|
||||
// The verification plugin is set as a system plugin
|
||||
const systemPlugin = await MongoSystemPlugin.findOne(
|
||||
{ pluginId: plugin.id, 'customConfig.associatedPluginId': plugin.associatedPluginId },
|
||||
'associatedPluginId'
|
||||
).lean();
|
||||
if (!systemPlugin) return Promise.reject(PluginErrEnum.unExist);
|
||||
// Admin selected system tool
|
||||
if (plugin.associatedPluginId) {
|
||||
// The verification plugin is set as a system plugin
|
||||
const systemPlugin = await MongoSystemPlugin.findOne(
|
||||
{ pluginId: plugin.id, 'customConfig.associatedPluginId': plugin.associatedPluginId },
|
||||
'associatedPluginId'
|
||||
).lean();
|
||||
if (!systemPlugin) return Promise.reject(PluginErrEnum.unExist);
|
||||
|
||||
const app = await MongoApp.findById(plugin.associatedPluginId).lean();
|
||||
if (!app) return Promise.reject(PluginErrEnum.unExist);
|
||||
|
||||
const version = versionId
|
||||
? await getAppVersionById({
|
||||
appId: plugin.associatedPluginId,
|
||||
versionId,
|
||||
app
|
||||
})
|
||||
: await getAppLatestVersion(plugin.associatedPluginId, app);
|
||||
if (!version.versionId) return Promise.reject('App version not found');
|
||||
const isLatest = version.versionId
|
||||
? await checkIsLatestVersion({
|
||||
appId: plugin.associatedPluginId,
|
||||
versionId: version.versionId
|
||||
})
|
||||
: true;
|
||||
|
||||
return {
|
||||
...plugin,
|
||||
workflow: {
|
||||
nodes: version.nodes,
|
||||
edges: version.edges,
|
||||
chatConfig: version.chatConfig
|
||||
},
|
||||
version: versionId ? version?.versionId : '',
|
||||
versionLabel: version?.versionName,
|
||||
isLatestVersion: isLatest,
|
||||
teamId: String(app.teamId),
|
||||
tmbId: String(app.tmbId)
|
||||
};
|
||||
}
|
||||
|
||||
// System tool
|
||||
const versionList = (plugin.versionList as SystemPluginTemplateItemType['versionList']) || [];
|
||||
|
||||
if (versionList.length === 0) {
|
||||
return Promise.reject('Can not find plugin version list');
|
||||
}
|
||||
const app = await MongoApp.findById(plugin.associatedPluginId).lean();
|
||||
if (!app) return Promise.reject(PluginErrEnum.unExist);
|
||||
|
||||
const version = versionId
|
||||
? versionList.find((item) => item.value === versionId) ?? versionList[0]
|
||||
: versionList[0];
|
||||
const lastVersion = versionList[0];
|
||||
? await getAppVersionById({
|
||||
appId: plugin.associatedPluginId,
|
||||
versionId,
|
||||
app
|
||||
})
|
||||
: await getAppLatestVersion(plugin.associatedPluginId, app);
|
||||
if (!version.versionId) return Promise.reject('App version not found');
|
||||
const isLatest = version.versionId
|
||||
? await checkIsLatestVersion({
|
||||
appId: plugin.associatedPluginId,
|
||||
versionId: version.versionId
|
||||
})
|
||||
: true;
|
||||
|
||||
return {
|
||||
...plugin,
|
||||
inputs: version.inputs,
|
||||
outputs: version.outputs,
|
||||
version: versionId ? version?.value : '',
|
||||
versionLabel: versionId ? version?.value : '',
|
||||
isLatestVersion: !version || !lastVersion || version.value === lastVersion?.value
|
||||
workflow: {
|
||||
nodes: version.nodes,
|
||||
edges: version.edges,
|
||||
chatConfig: version.chatConfig
|
||||
},
|
||||
version: versionId ? version?.versionId : '',
|
||||
versionLabel: version?.versionName,
|
||||
isLatestVersion: isLatest,
|
||||
teamId: String(app.teamId),
|
||||
tmbId: String(app.tmbId)
|
||||
};
|
||||
})();
|
||||
}
|
||||
|
||||
return plugin;
|
||||
// System toolset
|
||||
if (plugin.isFolder) {
|
||||
return {
|
||||
...plugin,
|
||||
inputs: [],
|
||||
outputs: [],
|
||||
inputList: plugin.inputList,
|
||||
version: '',
|
||||
isLatestVersion: true
|
||||
};
|
||||
}
|
||||
|
||||
// System tool
|
||||
const versionList = (plugin.versionList as SystemPluginTemplateItemType['versionList']) || [];
|
||||
|
||||
if (versionList.length === 0) {
|
||||
return Promise.reject('Can not find plugin version list');
|
||||
}
|
||||
|
||||
const version = versionId
|
||||
? versionList.find((item) => item.value === versionId) ?? versionList[0]
|
||||
: versionList[0];
|
||||
const lastVersion = versionList[0];
|
||||
|
||||
// concat parent (if exists) input config
|
||||
const parent = plugin.parentId ? await getSystemToolById(plugin.parentId) : undefined;
|
||||
if (parent && parent.inputList) {
|
||||
plugin?.inputs?.push({
|
||||
key: 'system_input_config',
|
||||
label: '',
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
inputList: parent.inputList
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
...plugin,
|
||||
inputs: version.inputs,
|
||||
outputs: version.outputs,
|
||||
version: versionId ? version?.value : '',
|
||||
versionLabel: versionId ? version?.value : '',
|
||||
isLatestVersion: !version || !lastVersion || version.value === lastVersion?.value
|
||||
};
|
||||
};
|
||||
|
||||
/* Format plugin to workflow preview node data */
|
||||
/*
|
||||
Format plugin to workflow preview node data
|
||||
Persion workflow/plugin: objectId
|
||||
Persion mcptoolset: objectId
|
||||
Persion mcp tool: mcp-parentId/name
|
||||
System tool/toolset: system-toolId
|
||||
*/
|
||||
export async function getChildAppPreviewNode({
|
||||
appId,
|
||||
versionId,
|
||||
@@ -164,6 +167,8 @@ export async function getChildAppPreviewNode({
|
||||
const { source, pluginId } = splitCombinePluginId(appId);
|
||||
|
||||
const app: ChildAppType = await (async () => {
|
||||
// 1. App
|
||||
// 2. MCP ToolSets
|
||||
if (source === PluginSourceEnum.personal) {
|
||||
const item = await MongoApp.findById(pluginId).lean();
|
||||
if (!item) return Promise.reject(PluginErrEnum.unExist);
|
||||
@@ -178,6 +183,17 @@ export async function getChildAppPreviewNode({
|
||||
})
|
||||
: true;
|
||||
|
||||
if (item.type === AppTypeEnum.toolSet) {
|
||||
const children = await getMCPChildren(item);
|
||||
version.nodes[0].toolConfig = {
|
||||
mcpToolSet: {
|
||||
toolId: pluginId,
|
||||
toolList: children,
|
||||
url: ''
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
id: String(item._id),
|
||||
teamId: String(item.teamId),
|
||||
@@ -201,29 +217,105 @@ export async function getChildAppPreviewNode({
|
||||
hasTokenFee: false,
|
||||
pluginOrder: 0
|
||||
};
|
||||
} else {
|
||||
}
|
||||
// mcp tool
|
||||
else if (source === PluginSourceEnum.mcp) {
|
||||
const [parentId, toolName] = pluginId.split('/');
|
||||
// 1. get parentApp
|
||||
const item = await MongoApp.findById(parentId).lean();
|
||||
if (!item) return Promise.reject(PluginErrEnum.unExist);
|
||||
|
||||
const version = await getAppVersionById({ appId: parentId, versionId, app: item });
|
||||
const toolConfig = version.nodes[0].toolConfig?.mcpToolSet;
|
||||
const tool = toolConfig?.toolList.find((item) => item.name === toolName);
|
||||
if (!tool || !toolConfig) return Promise.reject(PluginErrEnum.unExist);
|
||||
|
||||
return {
|
||||
avatar: item.avatar,
|
||||
id: appId,
|
||||
name: tool.name,
|
||||
templateType: FlowNodeTemplateTypeEnum.tools,
|
||||
workflow: {
|
||||
nodes: [
|
||||
getMCPToolRuntimeNode({
|
||||
tool: {
|
||||
description: tool.description,
|
||||
inputSchema: tool.inputSchema,
|
||||
name: tool.name
|
||||
},
|
||||
avatar: item.avatar,
|
||||
parentId: item._id
|
||||
})
|
||||
],
|
||||
edges: []
|
||||
},
|
||||
version: '',
|
||||
isLatestVersion: true
|
||||
};
|
||||
}
|
||||
// 1. System Tools
|
||||
// 2. System Plugins configured in Pro (has associatedPluginId)
|
||||
else {
|
||||
return getSystemPluginByIdAndVersionId(pluginId, versionId);
|
||||
}
|
||||
})();
|
||||
|
||||
const { flowNodeType, nodeIOConfig } = await (async () => {
|
||||
const { flowNodeType, nodeIOConfig } = await (async (): Promise<{
|
||||
flowNodeType: FlowNodeTypeEnum;
|
||||
nodeIOConfig: {
|
||||
inputs: FlowNodeInputItemType[];
|
||||
outputs: FlowNodeOutputItemType[];
|
||||
toolConfig?: NodeToolConfigType;
|
||||
showSourceHandle?: boolean;
|
||||
showTargetHandle?: boolean;
|
||||
};
|
||||
}> => {
|
||||
if (source === PluginSourceEnum.systemTool) {
|
||||
// system Tool or Toolsets
|
||||
const children = app.isFolder
|
||||
? (await getSystemTools()).filter((item) => item.parentId === pluginId)
|
||||
: [];
|
||||
|
||||
return {
|
||||
flowNodeType: FlowNodeTypeEnum.tool,
|
||||
flowNodeType: app.isFolder ? FlowNodeTypeEnum.toolSet : FlowNodeTypeEnum.tool,
|
||||
nodeIOConfig: {
|
||||
inputs: app.inputs || [],
|
||||
outputs: app.outputs || [],
|
||||
inputs: [
|
||||
...(app.inputList
|
||||
? [
|
||||
{
|
||||
key: NodeInputKeyEnum.systemInputConfig,
|
||||
label: '',
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
inputList: app.inputList
|
||||
}
|
||||
]
|
||||
: []),
|
||||
...(app.inputs ?? [])
|
||||
],
|
||||
outputs: app.outputs ?? [],
|
||||
toolConfig: {
|
||||
systemTool: {
|
||||
toolId: app.id
|
||||
}
|
||||
}
|
||||
...(app.isFolder
|
||||
? {
|
||||
systemToolSet: {
|
||||
toolId: app.id,
|
||||
toolList: children.map((item) => ({
|
||||
toolId: item.id,
|
||||
name: parseI18nString(item.name, lang),
|
||||
description: parseI18nString(item.intro, lang)
|
||||
}))
|
||||
}
|
||||
}
|
||||
: { systemTool: { toolId: app.id } })
|
||||
},
|
||||
showSourceHandle: app.isFolder ? false : true,
|
||||
showTargetHandle: app.isFolder ? false : true
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
// Plugin workflow
|
||||
if (!!app.workflow.nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput)) {
|
||||
// plugin app
|
||||
return {
|
||||
flowNodeType: FlowNodeTypeEnum.pluginModule,
|
||||
nodeIOConfig: pluginData2FlowNodeIO({ nodes: app.workflow.nodes })
|
||||
@@ -235,6 +327,7 @@ export async function getChildAppPreviewNode({
|
||||
!!app.workflow.nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet) &&
|
||||
app.workflow.nodes.length === 1
|
||||
) {
|
||||
// mcp tools
|
||||
return {
|
||||
flowNodeType: FlowNodeTypeEnum.toolSet,
|
||||
nodeIOConfig: toolSetData2FlowNodeIO({ nodes: app.workflow.nodes })
|
||||
@@ -294,11 +387,15 @@ export async function getChildAppPreviewNode({
|
||||
System plugin: plugin id
|
||||
Personal plugin: Version id
|
||||
*/
|
||||
export async function getChildAppRuntimeById(
|
||||
id: string,
|
||||
versionId?: string,
|
||||
lang: localeType = 'en'
|
||||
): Promise<PluginRuntimeType> {
|
||||
export async function getChildAppRuntimeById({
|
||||
id,
|
||||
versionId,
|
||||
lang = 'en'
|
||||
}: {
|
||||
id: string;
|
||||
versionId?: string;
|
||||
lang?: localeType;
|
||||
}): Promise<PluginRuntimeType> {
|
||||
const app = await (async () => {
|
||||
const { source, pluginId } = splitCombinePluginId(id);
|
||||
|
||||
@@ -351,6 +448,36 @@ export async function getChildAppRuntimeById(
|
||||
};
|
||||
}
|
||||
|
||||
export async function getSystemPluginRuntimeNodeById({
|
||||
pluginId,
|
||||
name,
|
||||
intro
|
||||
}: {
|
||||
pluginId: string;
|
||||
name: string;
|
||||
intro: string;
|
||||
}): Promise<RuntimeNodeItemType> {
|
||||
const { source } = splitCombinePluginId(pluginId);
|
||||
if (source === PluginSourceEnum.systemTool) {
|
||||
const tool = await getSystemPluginByIdAndVersionId(pluginId);
|
||||
return {
|
||||
...tool,
|
||||
name,
|
||||
intro,
|
||||
inputs: tool.inputs ?? [],
|
||||
outputs: tool.outputs ?? [],
|
||||
flowNodeType: FlowNodeTypeEnum.tool,
|
||||
nodeId: getNanoid(),
|
||||
toolConfig: {
|
||||
systemTool: {
|
||||
toolId: pluginId
|
||||
}
|
||||
}
|
||||
};
|
||||
}
|
||||
return Promise.reject(PluginErrEnum.unExist);
|
||||
}
|
||||
|
||||
const dbPluginFormat = (item: SystemPluginConfigSchemaType): SystemPluginTemplateItemType => {
|
||||
const { name, avatar, intro, version, weight, templateType, associatedPluginId, userGuide } =
|
||||
item.customConfig!;
|
||||
@@ -405,11 +532,11 @@ export const refetchSystemPlugins = () => {
|
||||
});
|
||||
};
|
||||
|
||||
export const getSystemPlugins = async (): Promise<SystemPluginTemplateItemType[]> => {
|
||||
export const getSystemTools = async (): Promise<SystemPluginTemplateItemType[]> => {
|
||||
if (getCachedSystemPlugins().expires > Date.now() && isProduction) {
|
||||
return getCachedSystemPlugins().data;
|
||||
} else {
|
||||
const tools = await getSystemToolList();
|
||||
const tools = await APIGetSystemToolList();
|
||||
|
||||
// 从数据库里加载插件配置进行替换
|
||||
const systemPluginsArray = await MongoSystemPlugin.find({}).lean();
|
||||
@@ -436,34 +563,21 @@ export const getSystemPlugins = async (): Promise<SystemPluginTemplateItemType[]
|
||||
const dbPluginConfig = systemPlugins.get(item.id);
|
||||
|
||||
const versionList = (item.versionList as SystemPluginTemplateItemType['versionList']) || [];
|
||||
const inputs = versionList[0]?.inputs;
|
||||
const inputs = versionList[0]?.inputs ?? [];
|
||||
const outputs = versionList[0]?.outputs ?? [];
|
||||
|
||||
return {
|
||||
isActive: item.isActive,
|
||||
id: item.id,
|
||||
parentId: item.parentId,
|
||||
...item,
|
||||
isFolder: tools.some((tool) => tool.parentId === item.id),
|
||||
name: item.name,
|
||||
avatar: item.avatar,
|
||||
intro: item.intro,
|
||||
author: item.author,
|
||||
courseUrl: item.courseUrl,
|
||||
showStatus: true,
|
||||
weight: item.weight,
|
||||
templateType: item.templateType,
|
||||
originCost: item.originCost,
|
||||
currentCost: item.currentCost,
|
||||
hasTokenFee: item.hasTokenFee,
|
||||
pluginOrder: item.pluginOrder,
|
||||
|
||||
workflow: {
|
||||
nodes: [],
|
||||
edges: []
|
||||
},
|
||||
versionList,
|
||||
|
||||
inputList: inputs?.find((input) => input.key === NodeInputKeyEnum.systemInputConfig)
|
||||
?.inputList as any,
|
||||
inputs,
|
||||
outputs,
|
||||
inputList: item?.secretInputConfig,
|
||||
hasSystemSecret: !!dbPluginConfig?.inputListVal
|
||||
};
|
||||
});
|
||||
@@ -484,10 +598,10 @@ export const getSystemPlugins = async (): Promise<SystemPluginTemplateItemType[]
|
||||
}
|
||||
};
|
||||
|
||||
export const getSystemPluginById = async (id: string): Promise<SystemPluginTemplateItemType> => {
|
||||
export const getSystemToolById = async (id: string): Promise<SystemPluginTemplateItemType> => {
|
||||
const { source, pluginId } = splitCombinePluginId(id);
|
||||
if (source === PluginSourceEnum.systemTool) {
|
||||
const tools = await getSystemPlugins();
|
||||
const tools = await getSystemTools();
|
||||
const tool = tools.find((item) => item.id === pluginId);
|
||||
if (tool) {
|
||||
return tool;
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { type ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
|
||||
import { type PluginRuntimeType } from '@fastgpt/global/core/app/plugin/type';
|
||||
import { splitCombinePluginId } from './controller';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
|
||||
|
||||
/*
|
||||
/*
|
||||
Plugin points calculation:
|
||||
1. 系统插件/商业版插件：
|
||||
- 有错误：返回 0
|
||||
|
||||
@@ -1,16 +1,9 @@
|
||||
import createClient, { RunToolWithStream } from '@fastgpt-sdk/plugin';
|
||||
import { RunToolWithStream } from '@fastgpt-sdk/plugin';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { pluginClient, BASE_URL, TOKEN } from '../../../thirdProvider/fastgptPlugin';
|
||||
|
||||
const BASE_URL = process.env.PLUGIN_BASE_URL || '';
|
||||
const TOKEN = process.env.PLUGIN_TOKEN || '';
|
||||
|
||||
const client = createClient({
|
||||
baseUrl: BASE_URL,
|
||||
token: TOKEN
|
||||
});
|
||||
|
||||
export async function getSystemToolList() {
|
||||
const res = await client.tool.list();
|
||||
export async function APIGetSystemToolList() {
|
||||
const res = await pluginClient.tool.list();
|
||||
|
||||
if (res.status === 200) {
|
||||
return res.body.map((item) => {
|
||||
@@ -33,4 +26,4 @@ const runToolInstance = new RunToolWithStream({
|
||||
baseUrl: BASE_URL,
|
||||
token: TOKEN
|
||||
});
|
||||
export const runSystemTool = runToolInstance.run.bind(runToolInstance);
|
||||
export const APIRunSystemTool = runToolInstance.run.bind(runToolInstance);
|
||||
|
||||
@@ -3,11 +3,13 @@ import { getEmbeddingModel } from '../ai/model';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import type { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
|
||||
import { getChildAppPreviewNode, splitCombinePluginId } from './plugin/controller';
|
||||
import { getChildAppPreviewNode } from './plugin/controller';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { authAppByTmbId } from '../../support/permission/app/auth';
|
||||
import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
|
||||
import { getErrText } from '@fastgpt/global/common/error/utils';
|
||||
import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
|
||||
import type { localeType } from '@fastgpt/global/common/i18n/type';
|
||||
|
||||
export async function listAppDatasetDataByTeamIdAndDatasetIds({
|
||||
teamId,
|
||||
@@ -33,12 +35,14 @@ export async function rewriteAppWorkflowToDetail({
|
||||
nodes,
|
||||
teamId,
|
||||
isRoot,
|
||||
ownerTmbId
|
||||
ownerTmbId,
|
||||
lang
|
||||
}: {
|
||||
nodes: StoreNodeItemType[];
|
||||
teamId: string;
|
||||
isRoot: boolean;
|
||||
ownerTmbId: string;
|
||||
lang?: localeType;
|
||||
}) {
|
||||
const datasetIdSet = new Set<string>();
|
||||
|
||||
@@ -51,8 +55,9 @@ export async function rewriteAppWorkflowToDetail({
|
||||
try {
|
||||
const [preview] = await Promise.all([
|
||||
getChildAppPreviewNode({
|
||||
appId: pluginId,
|
||||
versionId: node.version
|
||||
appId: node.pluginId,
|
||||
versionId: node.version,
|
||||
lang
|
||||
}),
|
||||
...(source === PluginSourceEnum.personal
|
||||
? [
|
||||
@@ -80,6 +85,8 @@ export async function rewriteAppWorkflowToDetail({
|
||||
node.hasTokenFee = preview.hasTokenFee;
|
||||
node.hasSystemSecret = preview.hasSystemSecret;
|
||||
|
||||
node.toolConfig = preview.toolConfig;
|
||||
|
||||
// Latest version
|
||||
if (!node.version) {
|
||||
const inputsMap = new Map(node.inputs.map((item) => [item.key, item]));
|
||||
|
||||
@@ -361,7 +361,7 @@ const getMultiInput = async ({
|
||||
};
|
||||
};
|
||||
|
||||
/*
|
||||
/*
|
||||
Tool call， auth add file prompt to question。
|
||||
Guide the LLM to call tool.
|
||||
*/
|
||||
|
||||
@@ -10,14 +10,16 @@ import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { MCPClient } from '../../../app/mcp';
|
||||
import { getSecretValue } from '../../../../common/secret/utils';
|
||||
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
import { runSystemTool } from '../../../app/tool/api';
|
||||
import { APIRunSystemTool } from '../../../app/tool/api';
|
||||
import { MongoSystemPlugin } from '../../../app/plugin/systemPluginSchema';
|
||||
import { SystemToolInputTypeEnum } from '@fastgpt/global/core/app/systemTool/constants';
|
||||
import type { StoreSecretValueType } from '@fastgpt/global/common/secret/type';
|
||||
import { getSystemPluginById } from '../../../app/plugin/controller';
|
||||
import { getSystemToolById } from '../../../app/plugin/controller';
|
||||
import { textAdaptGptResponse } from '@fastgpt/global/core/workflow/runtime/utils';
|
||||
import { pushTrack } from '../../../../common/middle/tracks/utils';
|
||||
import { getNodeErrResponse } from '../utils';
|
||||
import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
|
||||
import { getAppVersionById } from '../../../../core/app/version/controller';
|
||||
|
||||
type SystemInputConfigType = {
|
||||
type: SystemToolInputTypeEnum;
|
||||
@@ -52,8 +54,8 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
|
||||
|
||||
try {
|
||||
// run system tool
|
||||
if (systemToolId) {
|
||||
const tool = await getSystemPluginById(systemToolId);
|
||||
if (toolConfig?.systemTool?.toolId) {
|
||||
const tool = await getSystemToolById(toolConfig.systemTool!.toolId);
|
||||
|
||||
const inputConfigParams = await (async () => {
|
||||
switch (params.system_input_config?.type) {
|
||||
@@ -82,7 +84,7 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
|
||||
|
||||
const formatToolId = tool.id.split('-')[1];
|
||||
|
||||
const res = await runSystemTool({
|
||||
const res = await APIRunSystemTool({
|
||||
toolId: formatToolId,
|
||||
inputs,
|
||||
systemVar: {
|
||||
@@ -112,6 +114,7 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
let result = res.output || {};
|
||||
|
||||
if (res.error) {
|
||||
@@ -175,8 +178,33 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
|
||||
}
|
||||
]
|
||||
};
|
||||
} else if (toolConfig?.mcpTool?.toolId) {
|
||||
const { pluginId } = splitCombinePluginId(toolConfig.mcpTool.toolId);
|
||||
const [parentId, toolName] = pluginId.split('/');
|
||||
const tool = await getAppVersionById({
|
||||
appId: parentId,
|
||||
versionId: version
|
||||
});
|
||||
|
||||
const { headerSecret, url } =
|
||||
tool.nodes[0].toolConfig?.mcpToolSet ?? tool.nodes[0].inputs[0].value;
|
||||
const mcpClient = new MCPClient({
|
||||
url,
|
||||
headers: getSecretValue({
|
||||
storeSecret: headerSecret
|
||||
})
|
||||
});
|
||||
|
||||
const result = await mcpClient.toolCall(toolName, params);
|
||||
return {
|
||||
[DispatchNodeResponseKeyEnum.nodeResponse]: {
|
||||
toolRes: result,
|
||||
moduleLogo: avatar
|
||||
},
|
||||
[DispatchNodeResponseKeyEnum.toolResponses]: result
|
||||
};
|
||||
} else {
|
||||
// mcp tool
|
||||
// mcp tool (old version compatible)
|
||||
const { toolData, system_toolData, ...restParams } = params;
|
||||
const { name: toolName, url, headerSecret } = toolData || system_toolData;
|
||||
|
||||
|
||||
@@ -152,7 +152,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
|
||||
} = data;
|
||||
const startTime = Date.now();
|
||||
|
||||
rewriteRuntimeWorkFlow(runtimeNodes, runtimeEdges);
|
||||
await rewriteRuntimeWorkFlow({ nodes: runtimeNodes, edges: runtimeEdges });
|
||||
|
||||
// 初始化深度和自动增加深度，避免无限嵌套
|
||||
if (!props.workflowDispatchDeep) {
|
||||
@@ -212,11 +212,10 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
|
||||
sendStreamTimerSign();
|
||||
}
|
||||
|
||||
// Add system variables
|
||||
// Get default variables
|
||||
variables = {
|
||||
...getSystemVariable(data),
|
||||
...externalProvider.externalWorkflowVariables,
|
||||
...variables
|
||||
...getSystemVariables(data)
|
||||
};
|
||||
}
|
||||
|
||||
@@ -846,23 +845,35 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
|
||||
}
|
||||
|
||||
/* get system variable */
|
||||
const getSystemVariable = ({
|
||||
const getSystemVariables = ({
|
||||
timezone,
|
||||
runningAppInfo,
|
||||
chatId,
|
||||
responseChatItemId,
|
||||
histories = [],
|
||||
uid,
|
||||
chatConfig
|
||||
chatConfig,
|
||||
variables
|
||||
}: Props): SystemVariablesType => {
|
||||
const variables = chatConfig?.variables || [];
|
||||
const variablesMap = variables.reduce<Record<string, any>>((acc, item) => {
|
||||
acc[item.key] = valueTypeFormat(item.defaultValue, item.valueType);
|
||||
// Get global variables(Label -> key; Key -> key)
|
||||
const globalVariables = chatConfig?.variables || [];
|
||||
const variablesMap = globalVariables.reduce<Record<string, any>>((acc, item) => {
|
||||
// API
|
||||
if (variables[item.label] !== undefined) {
|
||||
acc[item.key] = valueTypeFormat(variables[item.label], item.valueType);
|
||||
}
|
||||
// Web
|
||||
else if (variables[item.key] !== undefined) {
|
||||
acc[item.key] = valueTypeFormat(variables[item.key], item.valueType);
|
||||
} else {
|
||||
acc[item.key] = valueTypeFormat(item.defaultValue, item.valueType);
|
||||
}
|
||||
return acc;
|
||||
}, {});
|
||||
|
||||
return {
|
||||
...variablesMap,
|
||||
// System var:
|
||||
userId: uid,
|
||||
appId: String(runningAppInfo.id),
|
||||
chatId,
|
||||
|
||||
@@ -1,4 +1,7 @@
|
||||
import { getPluginInputsFromStoreNodes } from '@fastgpt/global/core/app/plugin/utils';
|
||||
import {
|
||||
getPluginInputsFromStoreNodes,
|
||||
splitCombinePluginId
|
||||
} from '@fastgpt/global/core/app/plugin/utils';
|
||||
import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
@@ -15,9 +18,8 @@ import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
|
||||
import { computedPluginUsage } from '../../../app/plugin/utils';
|
||||
import { filterSystemVariables, getNodeErrResponse } from '../utils';
|
||||
import { getPluginRunUserQuery } from '@fastgpt/global/core/workflow/utils';
|
||||
import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import type { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { getChildAppRuntimeById, splitCombinePluginId } from '../../../app/plugin/controller';
|
||||
import type { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { getChildAppRuntimeById } from '../../../app/plugin/controller';
|
||||
import { dispatchWorkFlow } from '../index';
|
||||
import { getUserChatInfoAndAuthTeamPoints } from '../../../../support/permission/auth/team';
|
||||
import { dispatchRunTool } from '../child/runTool';
|
||||
@@ -66,7 +68,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
|
||||
});
|
||||
}
|
||||
|
||||
/*
|
||||
/*
|
||||
1. Team app
|
||||
2. Admin selected system tool
|
||||
*/
|
||||
@@ -79,7 +81,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
|
||||
per: ReadPermissionVal
|
||||
});
|
||||
|
||||
plugin = await getChildAppRuntimeById(pluginId, version);
|
||||
plugin = await getChildAppRuntimeById({ id: pluginId, versionId: version });
|
||||
|
||||
const outputFilterMap =
|
||||
plugin.nodes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import { getErrText } from '@fastgpt/global/common/error/utils';
|
||||
import { ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
|
||||
import type { ChatItemType } from '@fastgpt/global/core/chat/type.d';
|
||||
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import {
|
||||
type RuntimeEdgeItemType,
|
||||
type RuntimeNodeItemType,
|
||||
@@ -17,7 +17,12 @@ import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { type SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
|
||||
import { getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import type { McpToolSetDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
import {
|
||||
getSystemPluginRuntimeNodeById,
|
||||
getSystemTools
|
||||
} from '../../../core/app/plugin/controller';
|
||||
import { MongoApp } from '../../../core/app/schema';
|
||||
import { getMCPChildren } from '../../../core/app/mcp';
|
||||
|
||||
export const getWorkflowResponseWrite = ({
|
||||
res,
|
||||
@@ -151,10 +156,19 @@ export const formatHttpError = (error: any) => {
|
||||
};
|
||||
};
|
||||
|
||||
export const rewriteRuntimeWorkFlow = (
|
||||
nodes: RuntimeNodeItemType[],
|
||||
edges: RuntimeEdgeItemType[]
|
||||
) => {
|
||||
/**
|
||||
* ToolSet node will be replaced by Children Tool Nodes.
|
||||
* @param nodes
|
||||
* @param edges
|
||||
* @returns
|
||||
*/
|
||||
export const rewriteRuntimeWorkFlow = async ({
|
||||
nodes,
|
||||
edges
|
||||
}: {
|
||||
nodes: RuntimeNodeItemType[];
|
||||
edges: RuntimeEdgeItemType[];
|
||||
}) => {
|
||||
const toolSetNodes = nodes.filter((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet);
|
||||
|
||||
if (toolSetNodes.length === 0) {
|
||||
@@ -165,35 +179,63 @@ export const rewriteRuntimeWorkFlow = (
|
||||
|
||||
for (const toolSetNode of toolSetNodes) {
|
||||
nodeIdsToRemove.add(toolSetNode.nodeId);
|
||||
const toolSetValue = toolSetNode.inputs[0]?.value as McpToolSetDataType | undefined;
|
||||
|
||||
if (!toolSetValue) continue;
|
||||
|
||||
const toolList = toolSetValue.toolList;
|
||||
const url = toolSetValue.url;
|
||||
const headerSecret = toolSetValue.headerSecret;
|
||||
const systemToolId = toolSetNode.toolConfig?.systemToolSet?.toolId;
|
||||
const mcpToolsetVal = toolSetNode.toolConfig?.mcpToolSet ?? toolSetNode.inputs[0].value;
|
||||
|
||||
const incomingEdges = edges.filter((edge) => edge.target === toolSetNode.nodeId);
|
||||
|
||||
for (const tool of toolList) {
|
||||
const newToolNode = getMCPToolRuntimeNode({
|
||||
avatar: toolSetNode.avatar,
|
||||
tool,
|
||||
url,
|
||||
headerSecret
|
||||
});
|
||||
|
||||
nodes.push({ ...newToolNode, name: `${toolSetNode.name} / ${tool.name}` });
|
||||
|
||||
const pushEdges = (nodeId: string) => {
|
||||
for (const inEdge of incomingEdges) {
|
||||
edges.push({
|
||||
source: inEdge.source,
|
||||
target: newToolNode.nodeId,
|
||||
target: nodeId,
|
||||
sourceHandle: inEdge.sourceHandle,
|
||||
targetHandle: 'selectedTools',
|
||||
status: inEdge.status
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
// systemTool
|
||||
if (systemToolId) {
|
||||
const toolsetInputConfig = toolSetNode.inputs.find(
|
||||
(item) => item.key === NodeInputKeyEnum.systemInputConfig
|
||||
);
|
||||
const tools = await getSystemTools();
|
||||
const children = tools.filter((item) => item.parentId === systemToolId);
|
||||
for (const child of children) {
|
||||
const toolListItem = toolSetNode.toolConfig?.systemToolSet?.toolList.find(
|
||||
(item) => item.toolId === child.id
|
||||
)!;
|
||||
const newNode = await getSystemPluginRuntimeNodeById({
|
||||
pluginId: child.id,
|
||||
name: toolListItem?.name,
|
||||
intro: toolListItem?.description
|
||||
});
|
||||
const newNodeInputConfig = newNode.inputs.find(
|
||||
(item) => item.key === NodeInputKeyEnum.systemInputConfig
|
||||
);
|
||||
if (newNodeInputConfig) {
|
||||
newNodeInputConfig.value = toolsetInputConfig?.value;
|
||||
}
|
||||
nodes.push(newNode);
|
||||
pushEdges(newNode.nodeId);
|
||||
}
|
||||
} else if (mcpToolsetVal) {
|
||||
const app = await MongoApp.findOne({ _id: toolSetNode.pluginId }).lean();
|
||||
if (!app) continue;
|
||||
const toolList = await getMCPChildren(app);
|
||||
|
||||
for (const tool of toolList) {
|
||||
const newToolNode = getMCPToolRuntimeNode({
|
||||
avatar: toolSetNode.avatar,
|
||||
tool,
|
||||
// New ?? Old
|
||||
parentId: mcpToolsetVal.toolId ?? toolSetNode.pluginId
|
||||
});
|
||||
|
||||
nodes.push({ ...newToolNode, name: `${toolSetNode.name}/${tool.name}` });
|
||||
pushEdges(newToolNode.nodeId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
"version": "1.0.0",
|
||||
"type": "module",
|
||||
"dependencies": {
|
||||
"@fastgpt-sdk/plugin": "^0.1.2",
|
||||
"@fastgpt-sdk/plugin": "^0.1.4",
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"@modelcontextprotocol/sdk": "^1.12.1",
|
||||
"@node-rs/jieba": "2.0.1",
|
||||
|
||||
@@ -10,10 +10,10 @@ import { AppPermission } from '@fastgpt/global/support/permission/app/controller
|
||||
import { type PermissionValueType } from '@fastgpt/global/support/permission/type';
|
||||
import { AppFolderTypeList } from '@fastgpt/global/core/app/constants';
|
||||
import { type ParentIdType } from '@fastgpt/global/common/parentFolder/type';
|
||||
import { splitCombinePluginId } from '../../../core/app/plugin/controller';
|
||||
import { PluginSourceEnum } from '@fastgpt/global/core/app/plugin/constants';
|
||||
import { type AuthModeType, type AuthResponseType } from '../type';
|
||||
import { AppDefaultPermissionVal } from '@fastgpt/global/support/permission/app/constant';
|
||||
import { splitCombinePluginId } from '@fastgpt/global/core/app/plugin/utils';
|
||||
|
||||
export const authPluginByTmbId = async ({
|
||||
tmbId,
|
||||
|
||||
@@ -46,7 +46,7 @@ export const checkTeamAppLimit = async (teamId: string, amount = 1) => {
|
||||
MongoApp.countDocuments({
|
||||
teamId,
|
||||
type: {
|
||||
$in: [AppTypeEnum.simple, AppTypeEnum.workflow, AppTypeEnum.plugin, AppTypeEnum.tool]
|
||||
$in: [AppTypeEnum.simple, AppTypeEnum.workflow, AppTypeEnum.plugin, AppTypeEnum.toolSet]
|
||||
}
|
||||
})
|
||||
]);
|
||||
@@ -59,7 +59,7 @@ export const checkTeamAppLimit = async (teamId: string, amount = 1) => {
|
||||
if (global?.licenseData?.maxApps && typeof global?.licenseData?.maxApps === 'number') {
|
||||
const totalApps = await MongoApp.countDocuments({
|
||||
type: {
|
||||
$in: [AppTypeEnum.simple, AppTypeEnum.workflow, AppTypeEnum.plugin, AppTypeEnum.tool]
|
||||
$in: [AppTypeEnum.simple, AppTypeEnum.workflow, AppTypeEnum.plugin, AppTypeEnum.toolSet]
|
||||
}
|
||||
});
|
||||
if (totalApps >= global.licenseData.maxApps) {
|
||||
|
||||
@@ -139,17 +139,27 @@ export const useDoc2xServer = ({ apiKey }: { apiKey: string }) => {
|
||||
|
||||
// Finifsh
|
||||
if (result_data.status === 'success') {
|
||||
const cleanedText = result_data.result.pages
|
||||
.map((page) => page.md)
|
||||
.join('')
|
||||
.replace(/\\[\(\)]/g, '$')
|
||||
.replace(/\\[\[\]]/g, '$$')
|
||||
.replace(/<img\s+src="([^"]+)"(?:\s*\?[^>]*)?(?:\s*\/>|>)/g, '')
|
||||
.replace(/<!-- Media -->/g, '')
|
||||
.replace(/<!-- Footnote -->/g, '')
|
||||
.replace(/<!-- Meanless:[\s\S]*?-->/g, '')
|
||||
.replace(/<!-- figureText:[\s\S]*?-->/g, '')
|
||||
.replace(/\$(.+?)\s+\\tag\{(.+?)\}\$/g, '$$$1 \\qquad \\qquad ($2)$$')
|
||||
.replace(/\\text\{([^}]*?)(\b\w+)_(\w+\b)([^}]*?)\}/g, '\\text{$1$2\\_$3$4}');
|
||||
const remainingTags = cleanedText.match(/<!--[\s\S]*?-->/g);
|
||||
if (remainingTags) {
|
||||
addLog.warn(`[Doc2x] Remaining dirty tags after cleaning:`, {
|
||||
count: remainingTags.length,
|
||||
tags: remainingTags.slice(0, 3)
|
||||
});
|
||||
}
|
||||
return {
|
||||
text: result_data.result.pages
|
||||
.map((page) => page.md)
|
||||
.join('')
|
||||
.replace(/\\[\(\)]/g, '$')
|
||||
.replace(/\\[\[\]]/g, '$$')
|
||||
.replace(/<img\s+src="([^"]+)"(?:\s*\?[^>]*)?(?:\s*\/>|>)/g, '')
|
||||
.replace(/<!-- Media -->/g, '')
|
||||
.replace(/<!-- Footnote -->/g, '')
|
||||
.replace(/\$(.+?)\s+\\tag\{(.+?)\}\$/g, '$$$1 \\qquad \\qquad ($2)$$')
|
||||
.replace(/\\text\{([^}]*?)(\b\w+)_(\w+\b)([^}]*?)\}/g, '\\text{$1$2\\_$3$4}'),
|
||||
text: cleanedText,
|
||||
pages: result_data.result.pages.length
|
||||
};
|
||||
}
|
||||
|
||||
@@ -0,0 +1,9 @@
|
||||
import createClient from '@fastgpt-sdk/plugin';
|
||||
|
||||
export const BASE_URL = process.env.PLUGIN_BASE_URL || '';
|
||||
export const TOKEN = process.env.PLUGIN_TOKEN || '';
|
||||
|
||||
export const pluginClient = createClient({
|
||||
baseUrl: BASE_URL,
|
||||
token: TOKEN
|
||||
});
|
||||
@@ -20,18 +20,16 @@ export const readXlsxRawText = async ({
|
||||
|
||||
const rawText = format2Csv.map((item) => item.csvText).join('\n');
|
||||
|
||||
const formatText = format2Csv
|
||||
.map((item) => {
|
||||
const csvArr = Papa.parse(item.csvText).data as string[][];
|
||||
const header = csvArr[0];
|
||||
|
||||
const formatText = result
|
||||
.map(({ data }) => {
|
||||
const header = data[0];
|
||||
if (!header) return;
|
||||
|
||||
const formatText = `| ${header.join(' | ')} |
|
||||
| ${header.map(() => '---').join(' | ')} |
|
||||
${csvArr
|
||||
${data
|
||||
.slice(1)
|
||||
.map((row) => `| ${row.map((item) => item.replace(/\n/g, '\\n')).join(' | ')} |`)
|
||||
.map((row) => `| ${row.map((cell) => String(cell).replace(/\n/g, '\\n')).join(' | ')} |`)
|
||||
.join('\n')}`;
|
||||
|
||||
return formatText;
|
||||
|
||||
@@ -2,6 +2,7 @@ import { parentPort } from 'worker_threads';
|
||||
import type { SplitProps } from '@fastgpt/global/common/string/textSplitter';
|
||||
import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
|
||||
import { workerResponse } from '../controller';
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
|
||||
parentPort?.on('message', async (props: SplitProps) => {
|
||||
const result = splitText2Chunks(props);
|
||||
|
||||
Reference in New Issue
Block a user