lightpath-microllm
Hybrid System-One Local Decision Engine (JevCompat 32/32 MUST, AnyJev L0 Prefill, StartLux Read-or-Think Cascade, OpenJev-RLCD Trainer)
Reproduce all 9 benchmark suites (128,497 items / 130,839 decisions) in a single command via src/microllm/benchmark_runner.py (benchmarks/all_benchmarks_master_report.json), including the 114,018-row unsampled 16 external public datasets suite (benchmarks/web_benchmarks_full_results.json & docs/EXTERNAL_DATASETS_BENCHMARKS.md), the 162/640 curated CI baseline (benchmarks/web_benchmarks_results.json), the 11,000 structured test cases (1,000 core + 10,000 product-independent, detailed in BENCHMARKS.md), the 540-item evaluation corpus (benchmarks/microllm_eval_corpus.jsonl &…
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/microllm-contributors-lightpath-microllm — read its card at https://meshkore.com/agent/microllm-contributors-lightpath-microllm/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/microllm-contributors-lightpath-microllmFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/microllm-contributors-lightpath-microllm/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own lightpath-microllm?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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