diff --git a/README.md b/README.md
index aba5525..221c036 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 ![](https://img.shields.io/github/release/shadowcz007/comfyui-mixlab-nodes)
 
-> 适配了最新版 comfyui 的 py3.11 ，torch 2.1.2+cu121
+> 适配了最新版 comfyui 的 py3.11 ，torch 2.3.1+cu121
 > [Mixlab nodes discord](https://discord.gg/cXs9vZSqeK)
 
 
@@ -10,6 +10,8 @@
 
 ![alt text](./assets/1722517810720.png)
 
+- 增加 API Key Input 节点，用于管理LLM的Key,同时优化LLM相关节点，为后续agent模式做准备
+
 - 增加 SiliconflowLLM，可以使用由Siliconflow提供的免费LLM
 
 - 增加 Edit Mask，方便在生成的时候手动绘制 mask [workflow](./workflow/edit-mask-workflow.json)
@@ -116,9 +118,10 @@ https://github.com/shadowcz007/comfyui-mixlab-nodes/assets/12645064/e7e77f90-e43
 
 > Support for calling multiple GPTs.Local LLM（llama.cpp）、 ChatGPT、ChatGLM3 、ChatGLM4 , Some code provided by rui. If you are using OpenAI's service, fill in https://api.openai.com/v1 . If you are using a local LLM service, fill in http://127.0.0.1:xxxx/v1 . Azure OpenAI:https://xxxx.openai.azure.com
 
-![gpt-workflow.svg](./assets/gpt-workflow.svg)
+[LLM_base_workflow](./workflow/LLM_base_workflow.json)
 
-[workflow-5](./workflow/5-gpt-workflow.json)
+- SiliconflowLLM
+- ChatGPTOpenAI
 
 <!-- 最新：ChatGPT 节点支持 Local LLM（llama.cpp），Phi3、llama3 都可以直接一个节点运行了。
 
diff --git a/__init__.py b/__init__.py
index f070932..6910fa9 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1106,6 +1106,7 @@ def mix_status(request):
     
     "Color":"Color Input ♾️MixlabApp",
     "TextInput_":"Text Input ♾️MixlabApp",
+    "KeyInput":"API Key Input ♾️MixlabApp",
     "FloatSlider":"Float Slider Input ♾️MixlabApp",
     "IntNumber":"Int Input ♾️MixlabApp",
     "ImagesPrompt_":"Images Input ♾️MixlabApp",
diff --git a/nodes/ChatGPT.py b/nodes/ChatGPT.py
index 2d9ca94..ee8af71 100644
--- a/nodes/ChatGPT.py
+++ b/nodes/ChatGPT.py
@@ -207,6 +207,36 @@ def chat(client, model_name,messages ):
         return content
 
 
+llm_apis=[
+            {
+                "value": "https://api.openai.com/v1",
+                "label": "openai"
+            },
+            {
+                "value": "https://openai.api2d.net/v1",
+                "label": "api2d"
+            },
+            # {
+            #     "value": "https://docs-test-001.openai.azure.com",
+            #     "label": "https://docs-test-001.openai.azure.com"
+            # },
+             
+            {
+                "value": "https://api.moonshot.cn/v1",
+                "label": "Kimi"
+            },
+            {
+                "value": "https://api.deepseek.com/v1",
+                "label": "DeepSeek-V2"
+            },
+            {
+                "value": "https://api.siliconflow.cn/v1",
+                "label": "SiliconCloud"
+            }]
+        
+llm_apis_dict = {api["label"]: api["value"] for api in llm_apis}
+
+
 class ChatGPTNode:
     def __init__(self):
         # self.__client = OpenAI()
@@ -216,8 +246,9 @@ def __init__(self):
 
     @classmethod
     def INPUT_TYPES(cls):
+
         model_list=[ 
-                    "gpt-3.5-turbo",
+            "gpt-3.5-turbo",
             "gpt-3.5-turbo-16k",
             "gpt-4o",
             "gpt-4o-2024-05-13",
@@ -243,25 +274,32 @@ def INPUT_TYPES(cls):
             "01-ai/Yi-1.5-9B-Chat-16K",
             "meta-llama/Meta-Llama-3.1-8B-Instruct"
                     ]
+        
         return {
             "required": {
-                "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
-                "api_url":("URL", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                # "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                # "api_key":("STRING", {"forceInput": True,}),
+               
                 "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}),
                 "system_content": ("STRING", 
                                    {
                                        "default": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.", 
                                        "multiline": True,"dynamicPrompts": False
                                        }),
+                 
                 "model": ( model_list, 
                     {"default": model_list[0]}),
                 "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "step": 1}),
                 "context_size":("INT", {"default": 1, "min": 0, "max":30, "step": 1}),
+                "api_url":(list(llm_apis_dict.keys()), 
+                    {"default": list(llm_apis_dict.keys())[0]}),
             },
-             "hidden": {
-                "unique_id": "UNIQUE_ID",
-                "extra_pnginfo": "EXTRA_PNGINFO",
-            },
+             "optional":{
+                    "api_key":("STRING", {"forceInput": True,}),
+                    "custom_model_name":("STRING", {"forceInput": True,}), #适合自定义model
+                     "custom_api_url":("STRING", {"forceInput": True,}), #适合自定义model
+                },
+             
         }
 
     RETURN_TYPES = ("STRING","STRING","STRING",)
@@ -273,12 +311,29 @@ def INPUT_TYPES(cls):
 
     
     def generate_contextual_text(self,
-                                 api_key,
-                                 api_url, 
+                                #  api_key,
                                  prompt, 
                                  system_content,
-                                model, 
-                                seed,context_size,unique_id = None, extra_pnginfo=None):
+                                 model, 
+                                seed,
+                                context_size,
+                                api_url,
+                                api_key=None,
+                                custom_model_name=None,
+                                custom_api_url=None,
+                                ):
+        
+        if custom_model_name!=None:
+            model=custom_model_name
+
+        api_url=llm_apis_dict[api_url] if api_url in llm_apis_dict else ""
+
+        if custom_api_url!=None:
+            api_url=custom_api_url
+
+        if api_key==None:
+            api_key="lm_studio"
+
         # print(api_key!='',api_url,prompt,system_content,model,seed)
         # 可以选择保留会话历史以维持上下文记忆
         # 或者在此处清除会话历史 self.session_history.clear()
@@ -291,7 +346,7 @@ def generate_contextual_text(self,
             self.system_content=system_content
             # self.session_history=[]
             # self.session_history.append({"role": "system", "content": system_content})
-        
+        print("api_key,api_url",api_key,api_url)
         # 
         if is_azure_url(api_url):
             client=azure_client(api_key,api_url)
@@ -359,7 +414,7 @@ def INPUT_TYPES(cls):
             ]
         return {
             "required": {
-                "api_key":("KEY", {"default": "", "multiline": True,"dynamicPrompts": False}),
+                "api_key":("STRING", {"forceInput": True,}),
                 "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}),
                 "system_content": ("STRING", 
                                    {
@@ -371,10 +426,9 @@ def INPUT_TYPES(cls):
                 "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "step": 1}),
                 "context_size":("INT", {"default": 1, "min": 0, "max":30, "step": 1}),
             },
-             "hidden": {
-                "unique_id": "UNIQUE_ID",
-                "extra_pnginfo": "EXTRA_PNGINFO",
-            },
+               "optional":{
+                    "custom_model_name":("STRING", {"forceInput": True,}), #适合自定义model
+                }, 
         }
 
     RETURN_TYPES = ("STRING","STRING","STRING",)
@@ -390,8 +444,11 @@ def generate_contextual_text(self,
                                  prompt, 
                                  system_content,
                                 model, 
-                                seed,context_size,unique_id = None, extra_pnginfo=None):
-    
+                                seed,context_size,custom_model_name=None):
+
+        if custom_model_name!=None:
+            model=custom_model_name
+
         api_url="https://api.siliconflow.cn/v1"
         
         # 把系统信息和初始信息添加到会话历史中
diff --git a/pyproject.toml b/pyproject.toml
index 49d58aa..6139950 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,8 +1,8 @@
 [project]
 name = "comfyui-mixlab-nodes"
 description = "3D, ScreenShareNode & FloatingVideoNode, SpeechRecognition & SpeechSynthesis, GPT, LoadImagesFromLocal, Layers, Other Nodes, ..."
-version = "0.34.0"
-license = { text = "MIT License" }
+version = "0.35.1"
+license = "MIT"
 dependencies = ["numpy", "pyOpenSSL", "watchdog", "opencv-python-headless", "matplotlib", "openai", "simple-lama-inpainting", "clip-interrogator==0.6.0", "transformers>=4.36.0", "lark-parser", "imageio-ffmpeg", "rembg[gpu]", "omegaconf==2.3.0", "Pillow>=9.5.0", "einops==0.7.0", "trimesh>=4.0.5", "huggingface-hub", "scikit-image"]
 
 [project.urls]
diff --git a/web/javascript/checkVersion_mixlab.js b/web/javascript/checkVersion_mixlab.js
index a3c2fc7..05fe629 100644
--- a/web/javascript/checkVersion_mixlab.js
+++ b/web/javascript/checkVersion_mixlab.js
@@ -3,7 +3,7 @@ import { app } from '../../../scripts/app.js'
 const repoOwner = 'shadowcz007' // 替换为仓库的所有者
 const repoName = 'comfyui-mixlab-nodes' // 替换为仓库的名称
 
-const version = 'v0.34.0'
+const version = 'v0.35.1'
 
 fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`)
   .then(response => response.json())
diff --git a/web/javascript/gpt_mixlab.js b/web/javascript/gpt_mixlab.js
index 0d3a3ca..be50512 100644
--- a/web/javascript/gpt_mixlab.js
+++ b/web/javascript/gpt_mixlab.js
@@ -1,319 +1,5 @@
 import { app } from '../../../scripts/app.js'
-// import { api } from '../../../scripts/api.js'
 import { ComfyWidgets } from '../../../scripts/widgets.js'
-import { $el } from '../../../scripts/ui.js'
-
-async function getConfig () {
-  let api_host = `${window.location.hostname}:${window.location.port}`
-  let api_base = ''
-  let url = `${window.location.protocol}//${api_host}${api_base}`
-
-  const res = await fetch(`${url}/mixlab`, {
-    method: 'POST'
-  })
-  return await res.json()
-}
-
-function get_position_style (ctx, widget_width, y, node_height) {
-  const MARGIN = 4 // the margin around the html element
-
-  /* Create a transform that deals with all the scrolling and zooming */
-  const elRect = ctx.canvas.getBoundingClientRect()
-  const transform = new DOMMatrix()
-    .scaleSelf(
-      elRect.width / ctx.canvas.width,
-      elRect.height / ctx.canvas.height
-    )
-    .multiplySelf(ctx.getTransform())
-    .translateSelf(MARGIN, MARGIN + y)
-
-  return {
-    transformOrigin: '0 0',
-    transform: transform,
-    left: `0`,
-    top: `0`,
-    cursor: 'pointer',
-    position: 'absolute',
-    maxWidth: `${widget_width - MARGIN * 2}px`,
-    // maxHeight: `${node_height - MARGIN * 2}px`, // we're assuming we have the whole height of the node
-    width: `${widget_width - MARGIN * 2}px`,
-    // height: `${node_height * 0.3 - MARGIN * 2}px`,
-    // background: '#EEEEEE',
-    display: 'flex',
-    flexDirection: 'column',
-    // alignItems: 'center',
-    justifyContent: 'space-around'
-  }
-}
-
-const getLocalData = key => {
-  let data = {}
-  try {
-    data = JSON.parse(localStorage.getItem(key)) || {}
-  } catch (error) {
-    return {}
-  }
-  return data
-}
-
-app.registerExtension({
-  name: 'Mixlab.GPT.ChatGPTOpenAI',
-  async getCustomWidgets (app) {
-    return {
-      KEY (node, inputName, inputData, app) {
-        // console.log('##inputData', inputData)
-        const widget = {
-          type: inputData[0], // the type, CHEESE
-          name: inputName, // the name, slice
-          size: [128, 32], // a default size
-          draw (ctx, node, width, y) {},
-          computeSize (...args) {
-            return [128, 32] // a method to compute the current size of the widget
-          },
-          async serializeValue (nodeId, widgetIndex) {
-            let data = getLocalData('_mixlab_api_key')
-            return data[node.id] || 'by Mixlab'
-          }
-        }
-        //  widget.something = something;          // maybe adds stuff to it
-        node.addCustomWidget(widget) // adds it to the node
-        return widget // and returns it.
-      },
-      URL (node, inputName, inputData, app) {
-        // console.log('node', inputName, inputData[0])
-        const widget = {
-          type: inputData[0], // the type, CHEESE
-          name: inputName, // the name, slice
-          size: [128, 32], // a default size
-          draw (ctx, node, width, y) {
-            // a method to draw the widget (ctx is a CanvasRenderingContext2D)
-          },
-          computeSize (...args) {
-            return [128, 32] // a method to compute the current size of the widget
-          },
-          async serializeValue (nodeId, widgetIndex) {
-            let data = getLocalData('_mixlab_api_url')
-            return data[node.id] || 'https://api.openai.com/v1'
-          }
-        }
-        //  widget.something = something;          // maybe adds stuff to it
-        node.addCustomWidget(widget) // adds it to the node
-        return widget // and returns it.
-      }
-    }
-  },
-
-  async beforeRegisterNodeDef (nodeType, nodeData, app) {
-    if (nodeType.comfyClass == 'ChatGPTOpenAI') {
-      const orig_nodeCreated = nodeType.prototype.onNodeCreated
-      nodeType.prototype.onNodeCreated = function () {
-        orig_nodeCreated?.apply(this, arguments)
-
-        const api_key = this.widgets.filter(w => w.name == 'api_key')[0]
-        const api_url = this.widgets.filter(w => w.name == 'api_url')[0]
-
-        console.log('ChatGPTOpenAI nodeData', this.widgets)
-
-        const widget = {
-          type: 'div',
-          name: 'chatgptdiv',
-          draw (ctx, node, widget_width, y, widget_height) {
-            Object.assign(
-              this.div.style,
-              get_position_style(ctx, widget_width, api_key.y, node.size[1])
-            )
-          }
-        }
-
-        widget.div = $el('div', {})
-
-        document.body.appendChild(widget.div)
-
-        const inputDiv = (key, placeholder) => {
-          let div = document.createElement('div')
-          const ip = document.createElement('input')
-          ip.type = placeholder === 'Key' ? 'password' : 'text'
-          ip.className = `${'comfy-multiline-input'} ${placeholder}`
-          div.style = `display: flex;
-          align-items: center; 
-          margin: 6px 8px;
-          margin-top: 0;`
-          ip.placeholder = placeholder
-          ip.value = placeholder
-
-          ip.style = `margin-left: 24px;
-          outline: none;
-          border: none;
-          padding: 4px;width: 100%;`
-          const label = document.createElement('label')
-          label.style = 'font-size: 10px;min-width:32px'
-          label.innerText = placeholder
-          div.appendChild(label)
-          div.appendChild(ip)
-
-          ip.addEventListener('change', () => {
-            let data = getLocalData(key)
-            data[this.id] = ip.value.trim()
-            localStorage.setItem(key, JSON.stringify(data))
-            console.log(this.id, key)
-          })
-          return div
-        }
-
-        let inputKey = inputDiv('_mixlab_api_key', 'Key')
-        let inputUrl = inputDiv('_mixlab_api_url', 'URL')
-
-        widget.div.appendChild(inputKey)
-        widget.div.appendChild(inputUrl)
-
-        this.addCustomWidget(widget)
-
-        const onRemoved = this.onRemoved
-        this.onRemoved = () => {
-          inputUrl.remove()
-          inputKey.remove()
-          widget.div.remove()
-          return onRemoved?.()
-        }
-
-        this.serialize_widgets = true //需要保存参数
-      }
-    }
-  },
-  async loadedGraphNode (node, app) {
-    // Fires every time a node is constructed
-    // You can modify widgets/add handlers/etc here
-
-    if (node.type === 'ChatGPTOpenAI') {
-      let widget = node.widgets.filter(w => w.div)[0]
-
-      let apiKey = getLocalData('_mixlab_api_key'),
-        url = getLocalData('_mixlab_api_url')
-
-      let id = node.id
-
-      // console.log('ChatGPTOpenAI serialize_widgets', this)
-
-      widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
-      widget.div.querySelector('.URL').value =
-        url[id] || 'https://api.openai.com/v1'
-    }
-  }
-});
-
-
-app.registerExtension({
-  name: 'Mixlab.GPT.SiliconflowLLM',
-  async getCustomWidgets (app) {
-    return {
-      KEY (node, inputName, inputData, app) {
-        // console.log('##inputData', inputData)
-        const widget = {
-          type: inputData[0], // the type, CHEESE
-          name: inputName, // the name, slice
-          size: [128, 32], // a default size
-          draw (ctx, node, width, y) {},
-          computeSize (...args) {
-            return [128, 32] // a method to compute the current size of the widget
-          },
-          async serializeValue (nodeId, widgetIndex) {
-            let data = getLocalData('_mixlab_api_key')
-            return data[node.id] || 'by Mixlab'
-          }
-        }
-        //  widget.something = something;          // maybe adds stuff to it
-        node.addCustomWidget(widget) // adds it to the node
-        return widget // and returns it.
-      },
-    }
-  },
-
-  async beforeRegisterNodeDef (nodeType, nodeData, app) {
-    if (nodeType.comfyClass == 'SiliconflowLLM') {
-      const orig_nodeCreated = nodeType.prototype.onNodeCreated
-      nodeType.prototype.onNodeCreated = function () {
-        orig_nodeCreated?.apply(this, arguments)
-
-        const api_key = this.widgets.filter(w => w.name == 'api_key')[0]
-       
-        const widget = {
-          type: 'div',
-          name: 'chatgptdiv',
-          draw (ctx, node, widget_width, y, widget_height) {
-            Object.assign(
-              this.div.style,
-              get_position_style(ctx, widget_width, api_key.y, node.size[1])
-            )
-          }
-        }
-
-        widget.div = $el('div', {})
-
-        document.body.appendChild(widget.div)
-
-        const inputDiv = (key, placeholder) => {
-          let div = document.createElement('div')
-          const ip = document.createElement('input')
-          ip.type = placeholder === 'Key' ? 'password' : 'text'
-          ip.className = `${'comfy-multiline-input'} ${placeholder}`
-          div.style = `display: flex;
-          align-items: center; 
-          margin: 6px 8px;
-          margin-top: 0;`
-          ip.placeholder = placeholder
-          ip.value = placeholder
-
-          ip.style = `margin-left: 24px;
-          outline: none;
-          border: none;
-          padding: 4px;width: 100%;`
-          const label = document.createElement('label')
-          label.style = 'font-size: 10px;min-width:32px'
-          label.innerText = placeholder
-          div.appendChild(label)
-          div.appendChild(ip)
-
-          ip.addEventListener('change', () => {
-            let data = getLocalData(key)
-            data[this.id] = ip.value.trim()
-            localStorage.setItem(key, JSON.stringify(data))
-            console.log(this.id, key)
-          })
-          return div
-        }
-
-        let inputKey = inputDiv('_mixlab_api_key', 'Key') 
-
-        widget.div.appendChild(inputKey) 
-
-        this.addCustomWidget(widget)
-
-        const onRemoved = this.onRemoved
-        this.onRemoved = () => { 
-          inputKey.remove()
-          widget.div.remove()
-          return onRemoved?.()
-        }
-
-        this.serialize_widgets = true //需要保存参数
-      }
-    }
-  },
-  async loadedGraphNode (node, app) {
-    // Fires every time a node is constructed
-    // You can modify widgets/add handlers/etc here
-
-    if (node.type === 'SiliconflowLLM') {
-      let widget = node.widgets.filter(w => w.div)[0]
-
-      let apiKey = getLocalData('_mixlab_api_key');
-
-      let id = node.id
- 
-      widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab' 
-    }
-  }
-})
 
 app.registerExtension({
   name: 'Mixlab.GPT.ShowTextForGPT',
@@ -328,7 +14,7 @@ app.registerExtension({
           for (let i = 0; i < this.widgets.length; i++) {
             if (this.widgets[i].name == 'show_text')
               this.widgets[i].onRemove?.()
-            console.log('#ShowTextForGPT', this.widgets[i])
+       
           }
           this.widgets.length = 2
         }
@@ -399,24 +85,5 @@ app.registerExtension({
 
       this.serialize_widgets = true //需要保存参数
     }
-  },
-  async loadedGraphNode (node, app) {
-    if (node.type === 'ShowTextForGPT') {
-      let widget = node.widgets.filter(w => w.name == 'show_text')[0]
-
-      // if (widget.value) {
-      //   let [url, prompt] = widget.value
-
-      //   this[`wavesurfer_${node.id}`] = updateWaveWidgetValue(
-      //     node.widgets,
-      //     node.id,
-      //     url,
-      //     prompt,
-      //     this[`wavesurfer_${node.id}`]
-      //   )
-      // }
-
-      console.log('#loadedGraphNode', node)
-    }
   }
 })
diff --git a/web/javascript/image_mixlab.js b/web/javascript/image_mixlab.js
index f637b92..0df42cd 100644
--- a/web/javascript/image_mixlab.js
+++ b/web/javascript/image_mixlab.js
@@ -861,7 +861,7 @@ app.registerExtension({
   nodeCreated (node, app) {
     //数据延迟？？
     setTimeout(() => {
-      console.log('#LoadImagesToBatch', node.type)
+      // console.log('#LoadImagesToBatch', node.type)
       if (node.type === 'LoadImagesToBatch') {
         let imagesWidget = node.widgets.filter(w => w.name === 'images')[0]
         let imagePreview = node.widgets.filter(w => w.name == 'image_base64')[0]
diff --git a/web/javascript/utils_mixlab.js b/web/javascript/utils_mixlab.js
index 8e527fe..4dfd840 100644
--- a/web/javascript/utils_mixlab.js
+++ b/web/javascript/utils_mixlab.js
@@ -357,7 +357,7 @@ app.registerExtension({
         const widget = {
           type: inputData[0], // the type, CHEESE
           name: inputName, // the name, slice
-          size: [128, 32], // a default size
+          size: [128, 24], // a default size
           draw (ctx, node, width, y) {},
           computeSize (...args) {
             return [128, 32] // a method to compute the current size of the widget
@@ -382,57 +382,61 @@ app.registerExtension({
 
         const widget = {
           type: 'div',
-          name: 'key_inp',
+          name: 'input_key',
           draw (ctx, node, widget_width, y, widget_height) {
             Object.assign(
               this.div.style,
-              get_position_style(ctx, widget_width, 44, node.size[1])
-            ) 
+              get_position_style(ctx, widget_width, 24, node.size[1])
+            )
           }
         }
 
         widget.div = $el('div', {})
 
+        document.body.appendChild(widget.div)
+
         const inputDiv = (key, placeholder) => {
           let div = document.createElement('div')
-          const ip = document.createElement('input')
-          ip.type = placeholder === 'Key' ? 'password' : 'text'
-          ip.className = `${'comfy-multiline-input'} ${placeholder}`
-          div.style = `display: flex;
+          div.style = `
+          display: flex;
           align-items: center; 
           margin: 6px 8px;
-          margin-top: 0;`
+          margin-top:0px;
+          height:44px;
+          width:220px; 
+          `
+
+          const ip = document.createElement('input')
+          ip.type = 'password'
+          ip.className = `${'comfy-multiline-input'} ${placeholder}`
+
           ip.placeholder = placeholder
-          ip.value = placeholder
+          // ip.value = placeholder
 
-          ip.style = `margin-left: 24px;
+          ip.style = `margin-left:8px;
           outline: none;
           border: none;
-          padding: 4px;width: 100%;`
-          const label = document.createElement('label')
-          label.style = 'font-size: 10px;min-width:32px'
-          label.innerText = placeholder
-          div.appendChild(label)
+          padding:12px;
+          width: 100%;
+          `
+
           div.appendChild(ip)
 
           ip.addEventListener('change', () => {
             let data = getLocalData(key)
             data[this.id] = ip.value.trim()
             localStorage.setItem(key, JSON.stringify(data))
-            console.log(this.id, key)
           })
+
           return div
         }
 
-        let inputKey = inputDiv('_mixlab_api_key', 'Key') 
+        let inputKey = inputDiv('_mixlab_api_key', 'Key')
 
-        widget.div.appendChild(inputKey) 
+        widget.div.appendChild(inputKey)
 
         this.addCustomWidget(widget)
- 
-        console.log('KeyInput nodeData',widget.div)
 
-      
         const onRemoved = this.onRemoved
         this.onRemoved = () => {
           inputKey.remove()
@@ -445,17 +449,30 @@ app.registerExtension({
     }
   },
   async loadedGraphNode (node, app) {
-    // Fires every time a node is constructed
-    // You can modify widgets/add handlers/etc here
-
     if (node.type === 'KeyInput') {
       let widget = node.widgets.filter(w => w.div)[0]
 
-      let apiKey = getLocalData('_mixlab_api_key');
+      let apiKey = getLocalData('_mixlab_api_key')
 
       let id = node.id
- 
-      widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab' 
+      if (widget.div.querySelector('.Key'))
+        widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
     }
+  },
+  nodeCreated (node, app) {
+    //数据延迟？？
+    setTimeout(() => {
+      // console.log('#LoadImagesToBatch', node.type)
+      if (node.type === 'KeyInput') {
+        let widget = node.widgets.filter(w => w.div)[0]
+
+        let apiKey = getLocalData('_mixlab_api_key')
+
+        let id = node.id
+
+        if (widget.div.querySelector('.Key'))
+          widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
+      }
+    }, 1000)
   }
 })
diff --git a/workflow/LLM_base_workflow.json b/workflow/LLM_base_workflow.json
new file mode 100644
index 0000000..cb7c7b5
--- /dev/null
+++ b/workflow/LLM_base_workflow.json
@@ -0,0 +1,408 @@
+{
+  "last_node_id": 21,
+  "last_link_id": 16,
+  "nodes": [
+    {
+      "id": 10,
+      "type": "ChatGPTOpenAI",
+      "pos": [
+        489,
+        689
+      ],
+      "size": {
+        "0": 403.2580261230469,
+        "1": 309.2166442871094
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "api_key",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "api_key"
+          }
+        },
+        {
+          "name": "custom_model_name",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "custom_model_name"
+          }
+        },
+        {
+          "name": "custom_api_url",
+          "type": "STRING",
+          "link": 13,
+          "widget": {
+            "name": "custom_api_url"
+          },
+          "slot_index": 2
+        }
+      ],
+      "outputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "links": [
+            12
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "messages",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "session_history",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ChatGPTOpenAI"
+      },
+      "widgets_values": [
+        "hi",
+        "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.",
+        "gpt-3.5-turbo",
+        447210757728856,
+        "randomize",
+        1,
+        "openai",
+        "",
+        "",
+        ""
+      ]
+    },
+    {
+      "id": 3,
+      "type": "ShowTextForGPT",
+      "pos": [
+        982,
+        686
+      ],
+      "size": {
+        "0": 400,
+        "1": 200
+      },
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "link": 12,
+          "widget": {
+            "name": "text"
+          }
+        },
+        {
+          "name": "output_dir",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "output_dir"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null,
+          "shape": 6
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ShowTextForGPT"
+      },
+      "widgets_values": [
+        "",
+        "",
+        " Hi there! What can I help you with?"
+      ]
+    },
+    {
+      "id": 11,
+      "type": "SiliconflowLLM",
+      "pos": [
+        489,
+        318
+      ],
+      "size": {
+        "0": 395.197998046875,
+        "1": 262
+      },
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "api_key",
+          "type": "STRING",
+          "link": 16,
+          "widget": {
+            "name": "api_key"
+          }
+        },
+        {
+          "name": "custom_model_name",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "custom_model_name"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "links": [
+            15
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "messages",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        },
+        {
+          "name": "session_history",
+          "type": "STRING",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "SiliconflowLLM"
+      },
+      "widgets_values": [
+        "",
+        "",
+        "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.",
+        "Qwen/Qwen2-7B-Instruct",
+        593422808835285,
+        "randomize",
+        1,
+        ""
+      ]
+    },
+    {
+      "id": 17,
+      "type": "ShowTextForGPT",
+      "pos": [
+        975,
+        329
+      ],
+      "size": {
+        "0": 400,
+        "1": 200
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "text",
+          "type": "STRING",
+          "link": 15,
+          "widget": {
+            "name": "text"
+          }
+        },
+        {
+          "name": "output_dir",
+          "type": "STRING",
+          "link": null,
+          "widget": {
+            "name": "output_dir"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null,
+          "shape": 6
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ShowTextForGPT"
+      },
+      "widgets_values": [
+        "",
+        "",
+        "Hello! How can I assist you today?"
+      ]
+    },
+    {
+      "id": 18,
+      "type": "KeyInput",
+      "pos": [
+        46,
+        319
+      ],
+      "size": {
+        "0": 315,
+        "1": 70
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "key",
+          "type": "STRING",
+          "links": [
+            16
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "KeyInput"
+      },
+      "widgets_values": [
+        null,
+        null
+      ]
+    },
+    {
+      "id": 12,
+      "type": "TextInput_",
+      "pos": [
+        31,
+        871
+      ],
+      "size": [
+        407.9377612789413,
+        76
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            13
+          ],
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "TextInput_"
+      },
+      "widgets_values": [
+        "http://127.0.0.1:8000/v1"
+      ]
+    },
+    {
+      "id": 20,
+      "type": "Note",
+      "pos": [
+        35,
+        664
+      ],
+      "size": [
+        350.04604707424306,
+        116.54209784249178
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "api_key 填写对应平台的Key\ncustom model和api 根据需要自行填写\n\n如果不填写custome，则按照model和api_url选择的选项"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 21,
+      "type": "Note",
+      "pos": [
+        42,
+        438
+      ],
+      "size": {
+        "0": 350.0460510253906,
+        "1": 116.54209899902344
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "properties": {
+        "text": ""
+      },
+      "widgets_values": [
+        "API key节点不会保存到workflow的json文件。\n\n：：会保存到appinfo导出的app.json里\n\n\n注册https://cloud.siliconflow.cn/account/ak 领取免费的API"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    }
+  ],
+  "links": [
+    [
+      12,
+      10,
+      0,
+      3,
+      0,
+      "STRING"
+    ],
+    [
+      13,
+      12,
+      0,
+      10,
+      2,
+      "STRING"
+    ],
+    [
+      15,
+      11,
+      0,
+      17,
+      0,
+      "STRING"
+    ],
+    [
+      16,
+      18,
+      0,
+      11,
+      0,
+      "STRING"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 0.9646149645000006,
+      "offset": [
+        170.81398913081276,
+        -128.0066534315481
+      ]
+    }
+  },
+  "version": 0.4
+}
\ No newline at end of file