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2026.04.02

为什么会出现claude code 配置失败

个人思考与笔记

如图,这是我的一个ccmmate里面的配置:

image

非常的简单。

我发现,使用minimax就可以通过,但是,使用支持openai样式的就不可以使用,这就好奇了。

所以决定来搞一搞。

先去使用deepseek,他后来兼容了athropic的样式,同时还支持openai样子的调用。

sk-4f654479949b46b688c7** https://api.deepseek.com/v1 deepseek-chat

athropic https://api.deepseek.com/anthropic

# Please install OpenAI SDK first: `pip3 install openai`
import os
from openai import OpenAI

client = OpenAI(api_key=os.environ.get('DEEPSEEK_API_KEY'), base_url="https://api.deepseek.com")

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Hello"},
    ],
    stream=False
)

print(response.choices[0].message.content)

最后得到了回答,那么切换成为普通的openai样式的 image

image

很显然,这个软件自己不支持那样的修改。


补充,我发现国内的大模型,使用ccr的时候会胡乱回答问题 image

– 回答如下,这个和实际的不符合,差得远呢。

Now I have a better understanding of the project. Let me create a comprehensive documentation file for the xtrade project   based on what I've discovered.
                                                                                                                              Overview
                                                                                                                              xtrade is a trading framework that provides a unified interface for various trading platforms, with initial support for
  TWS (Interactive Brokers) and placeholder support for other platforms like Binance.

  Project Structure

  The project includes:
  - Core framework files (xtrade/*.py)
  - Configuration files (xtrade/config/*)
  - Test files (xtrade/test/*)
  - Documentation and example files

  Core Components

  XTrade Framework

  The main class XTrade provides a unified interface for:
  - Connecting to different trading platforms
  - Retrieving account information
  - Managing orders and positions
  - Handling market data

  Supported Platforms

  - tws: Interactive Brokers TWS connection
  - binance: Placeholder for Binance integration
  - default: Generic platform interface

  Key Features

  - Unified API across different trading platforms
  - Connection management with automatic configuration
  - Account information retrieval
  - Order management capabilities
  - Position tracking
  - Market data handling

  Configuration

  The project uses a configuration system with:
  - Platform-specific settings
  - Connection parameters
  - API keys and authentication
  - Default settings for various operations

  Files and Modules

  Main Framework Files

  - xtrade/__init__.py: Package initialization
  - xtrade/xtrade.py: Main XTrade class
  - xtrade/tws/tws.py: TWS (Interactive Brokers) integration
  - xtrade/binance/binance.py: Binance placeholder implementation
  - xtrade/default/default.py: Default platform implementation

  Test Files

  - xtrade/test/test.py: Basic test for the framework
  - test_email.py: Email testing functionality

  Configuration Files

  - xtrade/config/__init__.py: Configuration initialization
  - xtrade/config/config.py: Configuration management
  - xtrade/config/config.json: Default configuration

不过这个可能是因为模型不支持的原因,他们是为了支持openai样式的,未必支持claude。

(base) PS C:\Users\25515> ccr

Usage: ccr [command] [preset-name]

Commands:
  start         Start server
  stop          Stop server
  restart       Restart server
  status        Show server status
  statusline    Integrated statusline
  code          Execute claude command
  model         Interactive model selection and configuration
  preset        Manage presets (export, install, list, delete)
  install       Install preset from GitHub marketplace
  activate      Output environment variables for shell integration
  ui            Open the web UI in browser
  -v, version   Show version information
  -h, help      Show help information

Presets:
  Any preset directory in ~/.claude-code-router/presets/

Examples:
  ccr start
  ccr code "Write a Hello World"
  ccr my-preset "Write a Hello World"    # Use preset configuration
  ccr model
  ccr preset export my-config            # Export current config as preset
  ccr preset install /path/to/preset     # Install a preset from directory
  ccr preset list                        # List all presets
  ccr install my-preset                  # Install preset from marketplace
  eval "$(ccr activate)"  # Set environment variables globally
  ccr ui

事实是什么样?

直接使用支持anthropic的

image

那么结果很明显,是可以使用的,没有问题的 回答的质量还不错

请看


 我查看了你的项目目录,这是一个 AI 创作系统 项目。以下是详细分析:

  📁 项目结构
                                                                                                                              D:\a.Data\MY_GIT_lib\xtrade\01----copy\xtrade\
  ├── 12.py                    # 基础版 Flask AI 聊天系统                                                                     ├── 12_pro.py               # Pro 版(增强功能)
  ├── 12_enhanced.py          # 增强版(可能类似)
  ├── 12_pro.rar              # 压缩备份
  ├── 12_enhanced.zip         # 压缩备份
  ├── test_email.py           # QQ 邮箱测试脚本
  ├── creative_system_pro_v6.db  # SQLite 数据库(V5/V6 版本)
  └── creative_system_pro_v7.db  # SQLite 数据库(Pro 版本)

  🚀 核心功能

  1. 基础版 (12.py)

  - 技术栈: Flask + SQLite + DeepSeek API
  - 功能:
    - AI 对话聊天(支持记忆)
    - 会话管理(新建、切换)
    - 长期记忆摘要(自动更新)
    - 反馈系统(👍/👎)
    - 响应式 Web 界面

  2. Pro 版 (12_pro.py)

  在基础版上增强:
  - 邮件系统:
    - 每日聊天报告(定时发送)
    - 情报抓取报告
    - QQ 邮箱 SMTP 集成
  - 界面升级:
    - 现代化 UI(渐变、动画)
    - 更好的移动端适配
    - Markdown 渲染
  - 额外功能:
    - 定时任务(每天 8:00 发送报告)
    - 情报抓取模拟(可扩展为真实爬虫)
    - 邮件配置界面

  🔧 数据库设计

  - messages 表:存储对话记录
  - sessions 表:存储会话信息和长期记忆摘要
  - settings 表:存储 API 密钥、邮箱配置等