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service-ops【开发与工程】Guide for the lmms-eval HTTP server, Python clients, MCP tooling, TUI/web UI, and job scheduler operations.
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Use this route when the user wants to start, inspect, or debug the lmms-eval service layer. It covers the HTTP server, async clients, queue and job lifecycle, MCP tooling, and the TUI/web UI backend.
../../references/service-ops.md../../references/api-reference.md../../references/troubleshooting.mdServerArgs and the HTTP server launch path.EvalClient and AsyncEvalClient for asynchronous evaluation submission.JobScheduler queueing, polling, cancellation, and cleanup.api-reference.md.lmms-eval serve --help
lmms-eval mcp --help
lmms-eval ui --help
lmms-eval tui --help
../../scripts/service_api_smoke.py — inspect the server, client, MCP, and TUI backend APIs.../../scripts/batch_watchdog.py — monitor heartbeat files and fail fast on hung distributed jobs.../../scripts/job_scheduler_smoke.py — smoke the job scheduler lifecycle without submitting real evaluation work.cli-and-workflows.model-backends.task-authoring.Use the service smoke scripts to confirm the stack is wired before debugging a live job or client call.