ดาวน์โหลด mtop 1.5.0

mtop now tells you why a local model is slow, or why its answers went wrong.
Why is it slow?
- When Ollama can't fit a model in VRAM it quietly runs part of it on the CPU. The models pane now turns that row amber and shows cpu 38% next to the TTL. Lemonade models running on CPU show up too.
Why is the answer off?
- A prompt that blew the context window gets a ctx 97% or ctx over, rejected marker in the requests pane, with details in the inspector.
- llama.cpp, vLLM and SGLang rejections are read from the error the server sends back, so that one's exact.
- Ollama trims prompts silently, so anything at 90% of the window or more is flagged as likely truncated.
Reasoning models
- Thinking tokens count toward tok/s on OpenAI-style streams (reasoning_content and reasoning).
- The inspector shows the thinking text separately from the answer, for Ollama, OpenAI-style and /v1/responses traffic.
More runners, more GPUs
- llama-swap, Lemonade and SGLang, with u to unload on llama-swap and Lemonade.
- AMD GPUs through amd-smi, with rocm-smi as the fallback.
- AMD and Intel GPUs on Windows, read from the system performance counters (temp and power show n/a there).
Also
- Two new /metrics series: mtop_model_cpu_percent and mtop_ctx_overflow_total. -notify fires for both warnings.
- The models pane now shows name, VRAM and TTL first, so the markers still fit a 100-column terminal.
- Moved to Bubble Tea v2.
- Captured prompt and answer text (-inspect) stays in memory and is no longer written to the history file.
- Fixes: an old Lemonade on :8000 no longer shows as vLLM, llama-swap no longer appears twice, and the by-model view doesn't reshuffle equal rows.
brew and scoop pick this up shortly; winget follows once Microsoft merges the bump.