chore(integration): snapshot local main worktree

electron/coding-runtime/pi/resource-loader.ts

@@ -11,6 +11,13 @@ import type { PiManagedInputRevision } from './managed-input-revision';
 
 const MANAGED_SEGMENT_PATTERN = /^[A-Za-z0-9][A-Za-z0-9_-]{0,127}$/;
 
+export const MAKELORE_DEFAULT_LANGUAGE_PROMPT = `你正在 Makelore 中工作，产品默认服务中文用户。
+
+语言要求：
+- 默认使用简体中文进行所有自然语言表达，包括可见的思考过程、进度说明、工具调用说明、提问、总结和最终回复。
+- 代码、命令、标识符、文件路径、日志、错误原文，以及为保证准确性必须保留原文的引用，可以使用其原始语言。
+- 只有当用户或项目智能体的自定义系统指令明确要求其他语言时，才改用对应语言。`;
+
 export interface BundledCodingSkillsPathInput {
   isPackaged: boolean;
   resourcesPath: string;
@@ -43,6 +50,7 @@ export interface PiAgentResourceManifest {
   projectId: string;
   agentId: string;
   promptFile: string;
+  languagePromptFile: string;
   skillIds: BundledCodingSkillId[];
   revision: PiManagedInputRevision;
 }
@@ -51,6 +59,7 @@ export interface PiAgentResourceSnapshot {
   paths: PiManagedPaths;
   projectSessionsDir: string;
   promptPath: string;
+  languagePromptPath: string;
   manifestPath: string;
   skillIds: BundledCodingSkillId[];
   skillPaths: string[];
@@ -176,21 +185,27 @@ export async function materializePiAgentResources(
     options.skillIds,
   );
   const promptPath = path.join(projectPromptsDir, `${agentId}.md`);
+  const languagePromptPath = path.join(projectPromptsDir, `${agentId}.language.md`);
   const manifestPath = path.join(projectPromptsDir, `${agentId}.manifest.json`);
   const manifest: PiAgentResourceManifest = {
     schemaVersion: 1,
     projectId,
     agentId,
     promptFile: path.basename(promptPath),
+    languagePromptFile: path.basename(languagePromptPath),
     skillIds: [...skillIds],
     revision: { ...options.revision },
   };
-  await atomicWriteText(promptPath, options.prompt);
+  await Promise.all([
+    atomicWriteText(promptPath, options.prompt),
+    atomicWriteText(languagePromptPath, MAKELORE_DEFAULT_LANGUAGE_PROMPT),
+  ]);
   await atomicWriteJson(manifestPath, manifest);
   return {
     paths,
     projectSessionsDir,
     promptPath,
+    languagePromptPath,
     manifestPath,
     skillIds: [...skillIds],
     skillPaths,
@@ -213,6 +228,7 @@ export function buildPiManagedInputArgs(
     '--model', selection.modelId,
     '--thinking', selection.thinkingLevel,
     '--system-prompt', resources.promptPath,
+    '--append-system-prompt', resources.languagePromptPath,
   ];
   for (const skillPath of resources.skillPaths) args.push('--skill', skillPath);
   return args;