asiai
Multi-engine LLM benchmark & monitoring CLI for Apple Silicon
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
check_inference_healthQuick health check of all local LLM inference engines.
get_inference_snapshotGet complete system + inference state: CPU load, memory, thermal, GPU metrics, all engines with their loaded models, VRAM usage, TCP connections, and inference activity.
list_modelsList all models currently loaded across all inference engines.
detect_enginesAuto-detect running LLM inference engines on this Mac.
run_benchmarkRun a performance benchmark on local LLM inference engines.
get_recommendationsGet hardware-aware engine and model recommendations for this Mac.
diagnoseRun comprehensive diagnostic checks on the asiai installation.
get_metrics_historyQuery historical system metrics (CPU, RAM, thermal, GPU) from the local database.
get_benchmark_historyQuery past benchmark results from the local database.
refresh_enginesRe-detect inference engines without restarting the MCP server.
compare_enginesCompare inference engines or models side-by-side from benchmark history.
get_fleet_snapshotPoll every configured fleet node and return their live snapshots.
get_fleet_healthReduced fleet alert feed: only franc alarms count.
fleet_audit_tailRead the fleet audit journal (redacted) with a single-use operator code.
ASIAI_TRUSTED_HOSTSASIAI_WEB_URLASIAI_JUDGE_API_KEYOPENAI_API_KEYASIAI_COMMUNITY_URLXDG_DATA_HOMEASIAI_MTP_SINKASIAI_MTP_NASIAI_MTP_DOMAINASIAI_MTP_RUNASIAI_AISCTL_SERVE_URLNO_COLORGITHUB_TOKENGH_TOKENAll four hints declared on every tool
13/14 tools missing one or more hints — check_inference_health (missing: destructiveHint, idempotentHint); get_inference_snapshot (missing: destructiveHint, idempotentHint); list_models (missing: destructiveHint, idempotentHint), +10 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
No eval / new Function
2 eval() or new Function() calls — dynamic code execution
Replace eval / Function with explicit parsing or safer alternatives.
Readable source code
1 file are minified or bundled, which is usually build output rather than concealment
Ship unminified, readable source.
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