dsh-model-probe
Measures what an llm-pi-ai endpoint really accepts — context window from its own model list, output-token limit and reasoning levels read out of its own range errors, image support from a generated test image — then reports declared values that contradict that evidence and rewrites them only after confirmation.
直接实测 llm-pi-ai 端点真正接受的能力——从它自己的模型列表取上下文窗口，从它自己的报错反推输出上限与推理档位，用生成的测试图验证图像支持——再报告与证据不符的声明值，确认后才改写。
How to install
dsh plugin add dsh-model-probe About
dsh-model-probe **English** | 中文 Audit and correct model capability declarations for llm-pi-ai providers in DeepSeek Harness — by asking the endpoint itself instead of trusting a knowledge base. What it is A DeepSeek Harness plugin that measures what an llm-pi-ai endpoint actually accepts, compares that measurement against your declared model configuration, and rewrites only what the evidence proves wrong. **Audits, then fills.** A field that already has a value is checked against evidence rather than skipped — the one failure mode a config filler cannot see. **Four fields** — contextWindow, m…
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 0
- mo. downloads
- –
- Last push
- 2026-09-14
- Created
- 2026-09-10
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- deepseek-harness, dsh, dsh-plugin, llm, model-metadata, provider-config
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