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Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ========================================
# XCodeReviewer 环境变量配置示例
# ========================================
# 复制此文件为 .env 并填写你的配置
# ==================== LLM 通用配置 ====================
Add support for Ollama local models in LLM configuration and enhance README documentation. Update .env.example to include Ollama settings, improve error handling in code analysis, and refine logging for LLM interactions.
2025-10-24 12:25:29 +08:00
# 选择你想使用的LLM提供商 (gemini|openai|claude|qwen|deepseek|zhipu|moonshot|baidu|minimax|doubao|ollama)
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
VITE_LLM_PROVIDER=gemini
# 通用LLM配置 (可选，如果设置了这些，会覆盖下面的特定平台配置)
# VITE_LLM_API_KEY=your_api_key_here
# VITE_LLM_MODEL=your_model_name
# VITE_LLM_BASE_URL=https://custom-api-endpoint.com
Add support for Ollama local models in LLM configuration and enhance README documentation. Update .env.example to include Ollama settings, improve error handling in code analysis, and refine logging for LLM interactions.
2025-10-24 12:25:29 +08:00
# VITE_LLM_TIMEOUT=150000
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# VITE_LLM_TEMPERATURE=0.2
# VITE_LLM_MAX_TOKENS=4096
# ==================== Google Gemini 配置 ====================
# 获取API Key: https://makersuite.google.com/app/apikey
Add support for Ollama local models in LLM configuration and enhance README documentation. Update .env.example to include Ollama settings, improve error handling in code analysis, and refine logging for LLM interactions.
2025-10-24 12:25:29 +08:00
# VITE_GEMINI_API_KEY=your_gemini_api_key_here
# VITE_GEMINI_MODEL=gemini-2.5-flash
# VITE_GEMINI_TIMEOUT_MS=150000
refactor(project-structure): Restructure project architecture and improve code organization - Reorganize source code into feature-based and shared module structure - Move components, services, and hooks into more logical directories - Update project configuration files to reflect new structure - Add .env.example template for easier environment setup - Enhance README.md with more detailed project information and setup instructions - Consolidate utility functions and hooks into shared modules - Remove deprecated or unused files and components - Improve type definitions and configuration management - Update routing and main application configuration This refactoring aims to improve code maintainability, readability, and scalability by implementing a more modular and organized project structure.
2025-10-22 15:12:59 +08:00
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ==================== OpenAI 配置 ====================
# 获取API Key: https://platform.openai.com/api-keys
# VITE_OPENAI_API_KEY=your_openai_api_key_here
# VITE_OPENAI_MODEL=gpt-4o-mini
# VITE_OPENAI_BASE_URL=https://api.openai.com/v1
# ==================== Anthropic Claude 配置 ====================
# 获取API Key: https://console.anthropic.com/
# VITE_CLAUDE_API_KEY=your_claude_api_key_here
# VITE_CLAUDE_MODEL=claude-3-5-sonnet-20241022
# ==================== 阿里云通义千问 配置 ====================
# 获取API Key: https://dashscope.console.aliyun.com/
# VITE_QWEN_API_KEY=your_qwen_api_key_here
# VITE_QWEN_MODEL=qwen-turbo
# ==================== DeepSeek 配置 ====================
# 获取API Key: https://platform.deepseek.com/
# VITE_DEEPSEEK_API_KEY=your_deepseek_api_key_here
# VITE_DEEPSEEK_MODEL=deepseek-chat
# ==================== 智谱AI (GLM) 配置 ====================
# 获取API Key: https://open.bigmodel.cn/
# VITE_ZHIPU_API_KEY=your_zhipu_api_key_here
# VITE_ZHIPU_MODEL=glm-4-flash
# ==================== 月之暗面 Kimi 配置 ====================
# 获取API Key: https://platform.moonshot.cn/
# VITE_MOONSHOT_API_KEY=your_moonshot_api_key_here
# VITE_MOONSHOT_MODEL=moonshot-v1-8k
# ==================== 百度文心一言 配置 ====================
# 获取API Key: https://console.bce.baidu.com/qianfan/
# 注意：百度API Key格式为 "API_KEY:SECRET_KEY"
# VITE_BAIDU_API_KEY=your_api_key:your_secret_key
# VITE_BAIDU_MODEL=ERNIE-3.5-8K
# ==================== MiniMax 配置 ====================
# 获取API Key: https://www.minimaxi.com/
# VITE_MINIMAX_API_KEY=your_minimax_api_key_here
# VITE_MINIMAX_MODEL=abab6.5-chat
# ==================== 字节豆包 配置 ====================
# 获取API Key: https://console.volcengine.com/ark
# 注意：豆包使用endpoint ID，需要先创建推理接入点
# VITE_DOUBAO_API_KEY=your_doubao_api_key_here
Add support for Ollama local models in LLM configuration and enhance README documentation. Update .env.example to include Ollama settings, improve error handling in code analysis, and refine logging for LLM interactions.
2025-10-24 12:25:29 +08:00
# VITE_DOUBAO_MODEL=doubao-pro-32k
# ==================== Ollama 本地大模型配置 ====================
# Ollama 允许在本地运行开源大模型，无需 API Key
# 安装: https://ollama.com/
# 快速开始:
# 1. 安装 Ollama: curl -fsSL https://ollama.com/install.sh | sh
# 2. 下载模型: ollama pull llama3
# 3. 配置如下并启动应用
# VITE_OLLAMA_API_KEY=ollama # 本地运行不需要真实Key，填写任意值
# VITE_OLLAMA_MODEL=llama3
# VITE_OLLAMA_BASE_URL=http://localhost:11434/v1
#
# 推荐模型：
# - llama3 (综合能力强，适合各种任务)
# - codellama (代码专用，适合代码审查)
# - qwen2.5:7b (中文支持好)
# - deepseek-coder (代码理解能力强)
# - phi3:mini (轻量级，速度快)
#
# 更多模型: https://ollama.com/library
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ==================== Supabase 数据库配置 (可选) ====================
# 如果不配置，系统将以演示模式运行，数据不会持久化
# 获取配置: https://supabase.com/
# VITE_SUPABASE_URL=https://your-project.supabase.co
# VITE_SUPABASE_ANON_KEY=your-anon-key-here
refactor(project-structure): Restructure project architecture and improve code organization - Reorganize source code into feature-based and shared module structure - Move components, services, and hooks into more logical directories - Update project configuration files to reflect new structure - Add .env.example template for easier environment setup - Enhance README.md with more detailed project information and setup instructions - Consolidate utility functions and hooks into shared modules - Remove deprecated or unused files and components - Improve type definitions and configuration management - Update routing and main application configuration This refactoring aims to improve code maintainability, readability, and scalability by implementing a more modular and organized project structure.
2025-10-22 15:12:59 +08:00
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ==================== GitHub 集成配置 (可选) ====================
# 用于仓库分析功能
# 获取Token: https://github.com/settings/tokens
# VITE_GITHUB_TOKEN=your_github_token_here
refactor(project-structure): Restructure project architecture and improve code organization - Reorganize source code into feature-based and shared module structure - Move components, services, and hooks into more logical directories - Update project configuration files to reflect new structure - Add .env.example template for easier environment setup - Enhance README.md with more detailed project information and setup instructions - Consolidate utility functions and hooks into shared modules - Remove deprecated or unused files and components - Improve type definitions and configuration management - Update routing and main application configuration This refactoring aims to improve code maintainability, readability, and scalability by implementing a more modular and organized project structure.
2025-10-22 15:12:59 +08:00
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ==================== 应用配置 ====================
refactor(project-structure): Restructure project architecture and improve code organization - Reorganize source code into feature-based and shared module structure - Move components, services, and hooks into more logical directories - Update project configuration files to reflect new structure - Add .env.example template for easier environment setup - Enhance README.md with more detailed project information and setup instructions - Consolidate utility functions and hooks into shared modules - Remove deprecated or unused files and components - Improve type definitions and configuration management - Update routing and main application configuration This refactoring aims to improve code maintainability, readability, and scalability by implementing a more modular and organized project structure.
2025-10-22 15:12:59 +08:00
VITE_APP_ID=xcodereviewer
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
# ==================== 代码分析配置 ====================
refactor(project-structure): Restructure project architecture and improve code organization - Reorganize source code into feature-based and shared module structure - Move components, services, and hooks into more logical directories - Update project configuration files to reflect new structure - Add .env.example template for easier environment setup - Enhance README.md with more detailed project information and setup instructions - Consolidate utility functions and hooks into shared modules - Remove deprecated or unused files and components - Improve type definitions and configuration management - Update routing and main application configuration This refactoring aims to improve code maintainability, readability, and scalability by implementing a more modular and organized project structure.
2025-10-22 15:12:59 +08:00
VITE_MAX_ANALYZE_FILES=40
VITE_LLM_CONCURRENCY=2
Refactor LLM configuration and add support for multiple providers in environment setup. Update README and example files to reflect new configuration options and usage instructions. Introduce LLM service architecture with adapters for various AI providers.
2025-10-24 10:59:05 +08:00
VITE_LLM_GAP_MS=500