iFixAi: 定義 AI 對齊風險的開源診斷標準 | iFixAi: An Open-Source Diagnostic Standard for AI Misalignment

一套用於量化 AI 代理對齊風險的開源診斷框架。| An open-source diagnostic framework to quantify AI agent alignment risks.

🔎 工具速覽 / AT A GLANCE

Category	AI Safety & Alignment Diagnostic
Pricing	Open Source (Free)
BestFor	CI/CD Drift Tracking & Vendor Comparison
GitHub Stars	⭐ 35

🚀 引言 / Introduction

iFixAi 提供了一套可重複且由固定件驅動的診斷工具，旨在揭示 AI 代理行為與對齊預期之間的差異。它並非安全證明，而是一個可用於 CI 流程、追蹤模型漂移的技術信號。| iFixAi provides a repeatable, fixture-driven diagnostic tool designed to reveal discrepancies between AI agent behavior and alignment expectations. It is not a safety guarantee, but a technical signal for CI pipelines to track model drift.

🛠️ 核心功能 / Key Features

Comprehensive 32-Test Suite: Covers fabrication, manipulation, deception, unpredictability, and opacity.

全面的 32 項測試套件：涵蓋虛構、操縱、欺騙、不可預測性和不透明性五大維度。

Provider-Agnostic Architecture: Compatible with OpenAI, Anthropic, Bedrock, Azure, Gemini and more.

供應商不可知架構：全面相容於 OpenAI, Anthropic, Bedrock, Azure, Gemini 等主流平台。

Rapid Assessment: Delivers a letter-grade scorecard in under 5 minutes.

快速評估：在 5 分鐘內即可產出等級評分報告。

Bit-Identical Replay: Utilizes content-addressed manifests for exact result reproduction.

位元級精確重現：利用內容定址清單（Content-addressed manifest）實現結果的精確重現。

💡 技術亮點 / Tech Highlights

CI Drift Signal: Ideal for monitoring whether an agent is improving or deteriorating over time.

CI 漂移信號：極其適合用於監控 AI 代理隨時間推移是變得更好還是更糟。

Fixture-Controlled Comparison: Enables fair, side-by-side comparisons of different systems using the same fixtures.

固定件控制比較：允許在相同測試條件下對不同系統進行公平的對比分析。

Multi-Judge Ensemble: 'Full Mode' supports multiple judge providers with conservative tie-breaking for high-stakes reviews.

多法官集成：『全模式』支持多個評審供應商，並透過保守的平手判定機制確保內部審查的高信度。

📦 快速上手 / Quick Start

Install: pip install -e ".[openai]"

安裝：pip install -e ".[openai]"

Configure: export OPENAI_API_KEY=sk-...

配置：export OPENAI_API_KEY=sk-...

Run: ifixai run --provider openai

執行：ifixai run --provider openai

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