OpenRouter normalises to OpenAI's chat schema and inherits the 4-entry stop cap. The default 16-cap was too permissive; add stop_max=4 on both the backend provider registry and the frontend PROVIDER_STOP_MAX map. The GGUF tool-iteration final-answer pass at llama_cpp.py:5182 was carrying only the legacy sampling fields. Forward frequency_penalty, seed, and parallel_tool_calls there too so the cap-exhausted path matches the per-iteration loop. Test pins the OpenRouter 4-cap. |
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|---|---|---|
| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||