fix: moonshot temperature=1, 20MB upload limit, file input FileList fix, rate limiter off

- workflow_integration: force temperature=1.0 for moonshot provider (Kimi K3 reasoning models reject other values), both agent node and orchestrator node
- config: LOCAL_FILE_WRITE_MAX_BYTES 2MB -> 20MB (image uploads)
- main: temporarily disable RateLimiterMiddleware
- useFileUpload: copy FileList before resetting input (Chromium clears reference)
- AgentChat/AgentChatPreview: attach button via ChatInputArea ref

backend/app/agent_runtime/workflow_integration.py

@@ -64,10 +64,15 @@ async def run_agent_node(
         formatted_prompt = raw_prompt
 
     # 3. 构建 Agent 配置
+    _provider = node_data.get("provider", "openai")
+    temperature = float(node_data.get("temperature", 0.7))
+    # Kimi K3 等推理模型强制要求 temperature=1
+    if _provider == "moonshot":
+        temperature = 1.0
     llm_config = AgentLLMConfig(
-        provider=node_data.get("provider", "openai"),
+        provider=_provider,
         model=node_data.get("model", "gpt-4o-mini"),
-        temperature=float(node_data.get("temperature", 0.7)),
+        temperature=temperature,
         max_iterations=int(node_data.get("max_iterations", 10)),
     )
     # 允许节点内联 api_key/base_url
@@ -244,6 +249,10 @@ async def run_orchestrator_node(
                 tools_whitelist = cfg.get("tools", tools_whitelist)
                 break
 
+            # Kimi K3 等推理模型强制要求 temperature=1
+            if provider == "moonshot":
+                temperature = 1.0
+
             agent_configs.append(OrchestratorAgentConfig(
                 id=agent.id,
                 name=agent.name or "Agent",

backend/app/core/config.py

@@ -34,7 +34,7 @@ class Settings(BaseSettings):
     # 本地文件工具（file_read / file_write）：允许读写的根目录。空字符串表示使用「backend 的上一级目录」作为仓库根。
     LOCAL_FILE_TOOLS_ROOT: str = ""
     LOCAL_FILE_READ_MAX_BYTES: int = 2_097_152   # 单次读取上限（默认 2MB）
-    LOCAL_FILE_WRITE_MAX_BYTES: int = 2_097_152  # 单次写入内容上限（UTF-8 字节）
+    LOCAL_FILE_WRITE_MAX_BYTES: int = 20_971_520  # 单次写入内容上限 20MB（含图片上传）
 
     # http_request 工具：写入 LLM 上下文的响应体最大字符数（HTML/JSON 过大时截断，避免超过模型 context）
     HTTP_REQUEST_MAX_BODY_CHARS: int = 32_000

backend/app/main.py

@@ -191,7 +191,8 @@ app.add_middleware(
 )
 
 # API 限流中间件（在 CORS 之后、日志之前）
-app.add_middleware(RateLimiterMiddleware)
+# TODO: 暂时关闭限流，需要时恢复
+# app.add_middleware(RateLimiterMiddleware)
 
 # 安全响应头中间件（HSTS + X-Frame-Options + X-Content-Type-Options 等）
 app.add_middleware(SecurityHeadersMiddleware)

frontend/src/components/AgentChatPreview.vue

@@ -142,6 +142,7 @@
 
     <!-- Shared ChatInputArea -->
     <ChatInputArea
+      ref="inputAreaRef"
       v-model="inputMessage"
       :loading="loading"
       :disabled="loading || !agentId"
@@ -182,7 +183,9 @@ import api, { WORKFLOW_EXECUTION_HTTP_TIMEOUT_MS } from '@/api'
 import { useUserStore } from '@/stores/user'
 
 // ---- Shared composables ----
-const { pendingAttachments, fileInputRef, inputDragOver, uploadFiles, removeAttachment, clearAttachments, buildAttachmentContext, onFilesSelected, handleAttachFile } = useFileUpload()
+const { pendingAttachments, inputDragOver, uploadFiles, removeAttachment, clearAttachments, buildAttachmentContext, onFilesSelected } = useFileUpload()
+const inputAreaRef = ref<InstanceType<typeof ChatInputArea> | null>(null)
+function handleAttachFile() { inputAreaRef.value?.fileInputEl?.click() }
 const { stripMarkdownForTTS } = useMarkdown()
 const { isSpeaking, speak: ttsSpeak, stop: ttsStop } = useTTS()
 

frontend/src/composables/useFileUpload.ts

@@ -155,10 +155,12 @@ export function useFileUpload() {
 
   async function onFilesSelected(e: Event): Promise<PendingAttachment[]> {
     const input = e.target as HTMLInputElement
-    const files = input.files
-    input.value = '' // Reset so the same file can be re-selected
-    if (files?.length) return uploadFiles(Array.from(files))
-    return []
+    const rawFiles = input.files
+    if (!rawFiles?.length) return []
+    // 必须先复制再重置 input，否则 Chromium 系清空 FileList 引用
+    const fileArr = Array.from(rawFiles)
+    input.value = ''
+    return uploadFiles(fileArr)
   }
 
   function handleAttachFile() {

frontend/src/views/AgentChat.vue

@@ -486,7 +486,8 @@ import { useTTS } from '@/composables/useTTS'
 import { useSpeechRecognition } from '@/composables/useSpeechRecognition'
 
 const { renderMarkdown, stripMarkdownForTTS } = useMarkdown()
-const { pendingAttachments, inputDragOver, uploadFiles, removeAttachment, clearAttachments, buildAttachmentContext, onFilesSelected, handleAttachFile } = useFileUpload()
+const { pendingAttachments, inputDragOver, uploadFiles, removeAttachment, clearAttachments, buildAttachmentContext, onFilesSelected } = useFileUpload()
+function handleAttachFile() { inputAreaRef.value?.fileInputEl?.click() }
 const { isSpeaking, speak: ttsSpeak, stop: ttsStop } = useTTS()
 const { isListening, transcript, error: voiceError, supported: voiceSupported, start: voiceStart, stop: voiceStop } = useSpeechRecognition()
 const modelConfigStore = useModelConfigStore()