通过正反方对抗辩论 + AI 裁决的工作流，克服单一 LLM 的幻觉和盲目顺从问题。
- 🔄 Multi-Persona Debate — 正方支持、反方反驳、裁决方综合判断
- 🔀 Parallel Execution — 正反方并行生成，提升效率
- 🌊 Streaming Output — 实时流式输出，所见即所得
- 🎨 Modern CLI — 科技感 UI，丰富的颜色和视觉元素
- 🔌 Multi-Provider — 支持 DeepSeek、Gemini、DashScope (Qwen)
- ⚙️ Flexible Config — 每个角色可独立配置不同的 Provider 和 Model
- 🎯 8 Model Combinations — 交互模式提供 8 种预设模型组合，快速选择
- 📝 Structured Input — 交互模式支持问题+上下文文件的结构化输入
# Clone the repository
git clone https://github.com/hrygo/dialecta.git
cd dialecta
# Build
make build
# Or install globally
make install# Set API keys (configure based on your providers)
export DEEPSEEK_API_KEY="your-deepseek-api-key"
export GEMINI_API_KEY="your-gemini-api-key" # or GOOGLE_API_KEY
export DASHSCOPE_API_KEY="your-dashscope-api-key"# Analyze a file
dialecta proposal.md
# Read from stdin
echo "我们应该启动 AI 创业项目" | dialecta -
# Interactive mode (with structured input support)
dialecta --interactive
dialecta -i # Short form
# Features: Model selection + Question + Optional context file
# Quick access with Make commands
make ui # Interactive mode with 8 model combinations
make gemini # All Gemini (Pro, Con, Judge)
make gemini-deepseek # Gemini Judge, DeepSeek debate
make gemini-qwen # Gemini Judge, Qwen debate
make deepseek-qwen # Gemini Judge, DeepSeek vs Qwen
# Custom providers
dialecta --pro-provider deepseek --con-provider dashscope --judge-provider gemini doc.md| Provider | Environment Variable | Default Model | Description |
|---|---|---|---|
| DeepSeek | DEEPSEEK_API_KEY |
deepseek-chat |
DeepSeek Chat API |
| Gemini | GEMINI_API_KEY / GOOGLE_API_KEY |
gemini-3-pro-preview |
Google Gemini API |
| DashScope | DASHSCOPE_API_KEY |
qwen-plus |
Alibaba Qwen API |
| Role | Provider | Model | Temperature |
|---|---|---|---|
| Affirmative | DeepSeek | deepseek-chat |
0.8 |
| Negative | DashScope | qwen-plus |
0.8 |
| Adjudicator | Gemini | gemini-3-pro-preview |
0.1 |
When using dialecta -i or make ui, you can choose from 8 model combinations:
| ID | Combination | Judge | Pro | Con | Description |
|---|---|---|---|---|---|
| 1 | All Gemini | Gemini | Gemini | Gemini | Highest quality analysis |
| 2 | Gemini Judge, DeepSeek Debate | Gemini | DeepSeek | DeepSeek | Gemini judgment + DeepSeek reasoning |
| 3 | Gemini Judge, DeepSeek vs Qwen | Gemini | DeepSeek | Qwen | Mixed debate perspectives |
| 4 | Gemini Judge, Qwen Debate | Gemini | Qwen | Qwen | Gemini judgment + Qwen debate |
| 5 | All DeepSeek | DeepSeek | DeepSeek | DeepSeek | Unified DeepSeek experience |
| 6 | DeepSeek Judge, DeepSeek vs Qwen | DeepSeek | DeepSeek | Qwen | DeepSeek judgment + mixed debate |
| 7 | DeepSeek Judge, Qwen Debate | DeepSeek | Qwen | Qwen | DeepSeek judgment + Qwen debate |
| 8 | All Qwen | Qwen | Qwen | Qwen | Unified Qwen experience |
OPTIONS
-pro-provider string Provider for affirmative (default "deepseek")
-pro-model string Model for affirmative
-con-provider string Provider for negative (default "dashscope")
-con-model string Model for negative
-judge-provider string Provider for adjudicator (default "gemini")
-judge-model string Model for adjudicator
-stream Enable streaming output (default true)
-interactive Interactive input mode
-i Interactive input mode (shorthand)
# Analyze a business proposal
dialecta business-plan.md
# Quick test via stdin
echo "公司应该全面采用远程办公模式" | dialecta -# Start interactive mode
dialecta -i
# Or use Make
make ui
# You'll see a menu to choose from 8 model combinations:
# 🌟 Gemini Judge:
# [1] All Gemini
# [2] Gemini Judge, DeepSeek Debate
# [3] Gemini Judge, DeepSeek vs Qwen
# [4] Gemini Judge, Qwen Debate
# ⚡ DeepSeek Judge:
# [5] All DeepSeek
# [6] DeepSeek Judge, DeepSeek vs Qwen
# [7] DeepSeek Judge, Qwen Debate
# 🔷 Qwen Judge:
# [8] All QwenStructured Input with Context File:
Interactive mode now supports two-step input for complex analysis:
# Step 1: Select model combination
▸ Enter your choice (1-8): 1
# Step 2: Enter your question
① Enter your question or instruction:
(Press ENTER twice to finish)
▸ 请分析这份代码的优缺点
▸ 重点关注性能和可维护性
▸
# Step 3: Optionally provide a context file
② Enter context file path (optional, press ENTER to skip):
▸ ./internal/cli/input.go
✓ Question + Context file loaded
• Question: 45 characters
• Context file: ./internal/cli/input.go (5234 characters)
The program will automatically structure your input:
# 用户问题
请分析这份代码的优缺点
重点关注性能和可维护性
---
# 上下文文件：./internal/cli/input.go
[File content...]
# Use DeepSeek for reasoning, Gemini for judgment
dialecta --judge-provider gemini --judge-model gemini-3-pro-preview proposal.md
# All Qwen models
dialecta --pro-provider dashscope --con-provider dashscope --judge-provider dashscope doc.md
# Mixed providers for diversity
dialecta --pro-provider deepseek --con-provider dashscope --judge-provider gemini idea.txt# High-quality analysis with specific models
dialecta \
--pro-provider deepseek --pro-model deepseek-chat \
--con-provider dashscope --con-model qwen-max \
--judge-provider gemini --judge-model gemini-3-pro-preview \
important-decision.md- Go 1.21+
- Make
# Format, lint, test, and build
make all
# Run tests
make test
# Run tests with coverage
make cover
# Build for current platform
make build
# Cross-platform build
make build-all
# Run linter
make lint
# Interactive mode with model selection
make ui
# Quick model combinations
make gemini # All Gemini
make gemini-deepseek # Gemini Judge + DeepSeek debate
make gemini-qwen # Gemini Judge + Qwen debate
make deepseek-qwen # Gemini Judge + DeepSeek vs Qwen
# Show all available commands
make helpdialecta/
├── cmd/dialecta/ # CLI entry point
├── internal/
│ ├── cli/ # CLI components (UI, input, flags)
│ ├── config/ # Configuration management
│ ├── debate/ # Debate orchestration
│ ├── llm/ # LLM client implementations
│ └── prompt/ # Prompt templates
├── Makefile
├── go.mod
└── README.md
| Package | Coverage |
|---|---|
internal/config |
100% |
internal/prompt |
100% |
internal/debate |
70.8% |
internal/cli |
60.9% |
internal/llm |
40%* |
* LLM package requires integration tests with real API calls
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'feat: add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- DeepSeek for their powerful AI models
- Google Gemini for their multimodal capabilities
- Alibaba DashScope for Qwen models
Made with ❤️ by hrygo