Dev

.env.example

@@ -6,15 +6,15 @@ OPENAI_API_KEY=
 
 # Optional: custom OpenAI-compatible base URL
 # 留空时使用 OpenAI 默认地址；DeepSeek 可填写 https://api.deepseek.com
- OPENAI_API_BASE_URL=https://api.deepseek.com
+OPENAI_API_BASE_URL=xxx
 
 # Optional: memory persistence file path
 # 默认 .agent-memory/memory.json，通常无需修改
 # AGENT_MEMORY_FILE=.agent-memory/memory.json
 
-# Optional: OpenAI-compatible model name
-# 默认 deepseek-v4-flash
-OPENAI_MODEL=deepseek-v4-flash
+# Required: OpenAI-compatible model name
+# 必填，无默认值；未配置时 CLI 会提示你设置 OPENAI_MODEL
+OPENAI_MODEL=xxx
 
 # Optional: override the desktop directory used by path aliases
 # 默认 ~/Desktop，用于测试或自定义工作环境

.gitignore

@@ -1,6 +1,4 @@
 node_modules
-package.json
-pnpm-lock.yaml
 yarn.lock
 .env
 .env.local
@@ -23,5 +21,5 @@ out
 .agent-memory/
 bundle.*
 docs/*
-Agent.md
 /test/
+pnpm-workspace.yaml

README.md

@@ -75,12 +75,7 @@ vitest.config.ts             # Vitest 测试配置
 ```bash
 cp .env.example .env
 pnpm install
-```
-
-CLI 启动方式取决于项目实际的 `package.json` scripts；当前仓库中主要入口是 `source/app.tsx`。如果使用 `tsx`，可直接运行：
-
-```bash
-pnpm exec tsx source/app.tsx
+pnpm dev
 ```
 
 ## 环境变量
@@ -89,7 +84,7 @@ pnpm exec tsx source/app.tsx
 | --- | --- |
 | `OPENAI_API_KEY` | 必填，OpenAI 兼容 API 的 Key。 |
 | `OPENAI_API_BASE_URL` | 可选，自定义 OpenAI 兼容 base URL。 |
-| `OPENAI_MODEL` | 可选，模型名称，默认 `deepseek-v4-flash`。 |
+| `OPENAI_MODEL` | 必填，模型名称，无默认值；未配置时 CLI 会提示。 |
 | `AGENT_MEMORY_FILE` | 可选，记忆持久化文件路径，默认 `.agent-memory/memory.json`。 |
 | `AGENT_DESKTOP_DIR` | 可选，覆盖桌面目录路径，便于测试或自定义工作环境。 |
 
@@ -98,6 +93,9 @@ pnpm exec tsx source/app.tsx
 以下命令与当前 CI 保持一致：
 
 ```bash
+# 启动 CLI
+pnpm dev
+
 # 类型检查
 pnpm exec tsc -p tsconfig.json --noEmit
 

package.json

@@ -0,0 +1,30 @@
+{
+  "name": "call-code",
+  "version": "0.1.0",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "dev": "tsx source/app.tsx",
+    "start": "tsx source/app.tsx",
+    "typecheck": "tsc -p tsconfig.json --noEmit",
+    "test": "vitest run --reporter verbose",
+    "build:agent-core": "tsc -p packages/agent-core/tsconfig.json"
+  },
+  "dependencies": {
+    "dotenv": "^17.4.2",
+    "ink": "^7.1.1",
+    "ink-spinner": "^5.0.0",
+    "ink-text-input": "^6.0.0",
+    "openai": "^6.34.0",
+    "react": "^19.2.8",
+    "tiktoken": "^1.0.20"
+  },
+  "devDependencies": {
+    "@types/node": "^25.6.0",
+    "@types/react": "^19.2.18",
+    "prettier": "^3.4.2",
+    "tsx": "^4.23.7",
+    "typescript": "^6.0.3",
+    "vitest": "^3.2.4"
+  }
+}

packages/agent-core/src/core/llm.ts

@@ -1,6 +1,9 @@
-import 'dotenv/config';
+import dotenv from 'dotenv';
 import { OpenAI } from 'openai';
 
+dotenv.config();
+dotenv.config({ path: '.env.local' });
+
 export interface Message {
   role: 'system' | 'user' | 'assistant';
   content: string;
@@ -19,9 +22,16 @@ const client = new OpenAI({
   baseURL: process.env.OPENAI_API_BASE_URL,
 });
 
-const llmModel = process.env.OPENAI_MODEL ?? 'deepseek-v4-flash';
+export const llmModel = process.env.OPENAI_MODEL ?? '';
+
+const missingModelMessage =
+  '你没有配置 OPENAI_MODEL，请在 .env 或 .env.local 中设置模型名称。';
 
 export async function callLLM(messages: Message[]) {
+  if (!llmModel) {
+    throw new Error(missingModelMessage);
+  }
+
   const res = await client.chat.completions.create({
     model: llmModel,
     messages,
@@ -38,6 +48,10 @@ export async function streamLLM(
   handlers.onStart?.();
 
   try {
+    if (!llmModel) {
+      throw new Error(missingModelMessage);
+    }
+
     const stream = await client.chat.completions.create({
       model: llmModel,
       messages,