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cpa-plugin-codexcomp
A CPA plugin that detects and fixes reasoning truncation in streaming requests for specific AI models (e.g., gpt-5.5) by automatically continuing the truncated thought process using encrypted_content replay, transparent to clients.
Stars
75
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Forks
7
Open issues
2
License
MIT
Last updated
2026-07-19
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
Directly addresses the known 518n−2 truncation pattern causing intelligence degradation in agent scenarios, with benchmarks showing accuracy improvement from 40% to 100% on candy evaluation tests.
Who it is for
- AI agent users (Codex, Claude Code)
- CPA proxy administrators
- Developers deploying gpt-5.5/luna/terra models
- Performance engineers optimizing reasoning depth
Use cases
- Preventing truncation-related answer errors in coding agents
- Improving reasoning quality for complex, multi-step problems
- Serving as a transparent middleware without client configuration changes
- A/B testing reasoning continuation via configurable parameters
Strengths
- Integrated as a Go C-ABI shared library, zero overhead from separate proxy processes
- Supports OpenAI Responses/Chat Completions and Anthropic Messages APIs with automatic protocol translation
- Low first-byte latency (<500ms for simple questions) using async streaming
- Open source (MIT) with clear credits and well-documented configuration
Considerations
- Relies on non-contractual model behavior (518n−2 truncation pattern and encrypted_content field); may cease to work if OpenAI changes these
- Only activates for configured models (default gpt-5.5, gpt-5.6-luna, gpt-5.6-terra); Terra has additional non-standard truncations not handled
- Continuation rounds consume real tokens; metadata visibility limited to openai-response protocol
- Experimental min_reasoning_tokens feature has poor real-world results
README quick start
安装
Description
CLIProxyAPI plugin that detects and repairs gpt-5.5 reasoning truncation (518n−2 pattern) via encrypted_content replay and multi-round folding
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