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NM Hard Tools

Deployable, stateless MCP services for rigorous inference evaluation and benchmarking. This repository owns the service implementations, container images, and Helm charts.

Included services:

  • a single-tool llm-manifesto model deployment service;
  • a profiled lm-evaluation-harness controller and worker;
  • a bounded MCP adapter for the vLLM forward-pass benchmark service;
  • deployment charts for lm-eval, forward-pass, Nyann, and AgentX.

Development

uv run --extra test pytest
uv run --extra test ruff format --check src tests
uv run --extra test ruff check src tests

Repository governance is stored in gov/ and validated with govctl:

cargo install govctl --version 0.19.1 --locked
govctl status
govctl check

The lm-eval image must be built with an explicit Python base image:

podman build -f Dockerfile.lm-eval-service \
  --build-arg BASE_IMAGE=python:3.12-slim -t inference-hard-lm-eval:dev .

The model deployment service is described in docs/model-deployment-service.md.

License

Licensed under the Apache License, Version 2.0. See LICENSE.

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MCP services for rigorous inference evaluation and benchmarking

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