shengbinxu/dsh-llm-latency

A passive LLM latency dashboard for DeepSeek Harness: see how long models take to respond, compare vendors and inspect requests without extra model calls.

dsh-llm-latency is a passive latency dashboard for DeepSeek Harness: it shows how long models take to respond, compares vendors and lets you inspect individual requests — all without starting extra model calls. The v0.2.0 README ships a native dashboard (overview, time-window comparison, session comparison and a request log) plus a composer quick view for the last 15 minutes, hour or three hours, reporting latest response delay, median response delay, median first-text delay and successful/total samples. It deliberately separates total output speed from strict visible-answer rates and surfaces metric explanations on hover or keyboard focus.

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Install

dsh plugin --profile web add 'github:shengbinxu/dsh-llm-latency#v0.2.0'

Copied verbatim from the README's install section (the README also gives a local tarball form, dsh plugin --profile web add ./dsh-llm-latency-0.2.0.tgz). The README stresses it is passive: 'without starting extra model calls'.

Compatibility

The README says it reuses already-recorded data — the legacy /llm-latency/ JSON endpoints, the latency_report tool, recorded statistics and CSV export all remain available — and it never probes an unused model. Idle models honestly show 'No recent samples' rather than substituting a historical average for a current measurement.

Details

FAQ

Does it cost extra model calls?
No — the README says it is passive and inspects already-recorded data without starting extra model calls.
What does an idle model show?
The README says idle models show 'No recent samples'; the panel never substitutes a historical average for a current measurement or probes an unused model.

Alternatives

BruceLanLan/dsh-tier-router · NOirBRight/dsh-llm-ollama · wenzetan/dsh-llm-newapi

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