Skip to main content

setup-immune-compass-remote-tool

Set up, launch, validate, and troubleshoot the immune COMPASS ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.

설치로 이동

소스 정보

저장소
mims-harvard/ToolUniverse
최근 소스 활동
2026년 8월 20일 01:09
감지된 SKILL.md 언어
영어
스타
1,705
포크
258

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기
2 개 파일

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
setup-immune-compass-remote-tool
description
Set up, launch, validate, and troubleshoot the immune COMPASS ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.
# Set up immune COMPASS as a remote tool > Validation status (2026-08-16): working CPU deployment. The live MCP call ran the official all-cohort COMPASS checkpoint, converted to safetensors plus data-only preprocessing, on the official GIDE sample. In the pinned `torch==2.10.0` environment, the safe artifact and upstream checkpoint had zero difference in both class probabilities and all 44 concept scores. This is execution-equivalence evidence, not a clinical-accuracy benchmark. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested. ## Prerequisites - Run from the ToolUniverse repository root on Linux with Python 3.12.3. - The validated deployment uses CPU. GPU availability alone does not justify changing the device without a separate equivalence and resource test. - Keep provider data, weights, caches, and credentials outside Git. - Bind to loopback. A non-loopback bind requires TOOLUNIVERSE_API_TOKEN; never put it in arguments or results. Run the standard-library contract check before downloading large dependencies: ~~~bash python scripts/remote_validation/setup_skill_preflight.py --implementation immune-compass ~~~ After exporting provider resources, add `--check-provider-env`. After the server starts, add `--live` to verify the exact MCP tool set without running the model. Before sharing, add `--check-connect-prereqs`; this reports only whether a key is set and never prints its value. ## Create an isolated environment ~~~bash python3 -m venv .venvs/immune-compass . .venvs/immune-compass/bin/activate python -m pip install --upgrade pip python -m pip install -e . python -m pip install -r src/tooluniverse/remote/immune_compass/requirements.txt ~~~ Package/network-dependent commands must be rerun in a clean environment before marking this skill complete. ## Obtain data and provision safe model weights - Obtain the official COMPASS source/checkpoint and confirm model/data terms. The validated source revision is `0e5c87665247e3a300f28282c8bbcc14e26973bd`; `example/model/finetuner_pft_all.pt` has SHA-256 `fc83d7b5eac3697bcd9d117acefa35b56cf4c4c3c5880de367c85a870aef4b0b`. - In an isolated provisioning environment only, convert that reviewed whole-object checkpoint: ~~~bash python src/tooluniverse/remote/immune_compass/convert_checkpoint.py \ caches/compass/source/finetuner_pft_all.pt \ caches/compass/safe-model \ --expected-sha256 fc83d7b5eac3697bcd9d117acefa35b56cf4c4c3c5880de367c85a870aef4b0b \ --upstream-revision 0e5c87665247e3a300f28282c8bbcc14e26973bd export COMPASS_SAFE_MODEL_DIR="$PWD/caches/compass/safe-model" ~~~ The live server must never call `torch.load` or `loadcompass`. It verifies the emitted digests and loads only safetensors, JSON metadata, and an `allow_pickle=False` preprocessing NPZ. ## Authorize once, then share with one short command After installing dependencies, exporting the provider resources above, and installing the pinned relay SDK described under Connect below, run from the repository root. Log in only once per machine (and again after key rotation): ~~~bash tu remote login # Or import an existing protected 0600 file without sourcing it: tu remote login --env-file /path/to/tooluniverse-service.env ~~~ Then each private share is one short command: ~~~bash tu remote share immune-compass ~~~ By default, `tu remote login` requests a short-lived device code, opens the TU Platform approval page, and polls until the signed-in user approves. No key copy/paste is required. On a headless machine, add `--no-browser` and open the printed link elsewhere. The CLI exchanges the approval for a computer-only key, verifies `/remote-servers/preflight`, stores it in a local 0600 config file, and never displays it. The share command runs environment and TU Platform preflights, starts or reuses the exact loopback endpoint, validates discovery, and keeps the relay in the foreground until Ctrl-C. It automatically uses the reviewed Python, name, and worker count. Override them only when needed: ~~~bash tu remote share immune-compass --name my-immune-compass-remote --workers 1 ~~~ Use `tu remote check immune-compass` for a non-sharing readiness check and `tu remote run immune-compass` for a local-only foreground server. In an interactive terminal, sharing automatically starts the same browser flow when the key is missing, expired, or revoked. A malformed or revoked explicit `TOOLUNIVERSE_SERVICE_KEY` fails fast instead of being silently replaced; unset or correct it, then run `tu remote login`. Non-interactive jobs also fail fast. Use `tu remote logout` to remove only the local copy. Use `tu remote logout --revoke` to revoke the computer-only platform connection first; the server record remains offline for owner inspection. ## Start and verify locally ~~~bash mkdir -p caches/immune-compass runs/immune-compass export COMPASS_SAFE_MODEL_DIR="$PWD/caches/compass/safe-model" export COMPASS_DEVICE=cpu python -m tooluniverse.remote.immune_compass.compass_tool ~~~ The Streamable HTTP endpoint is http://127.0.0.1:7003/mcp. In a second activated shell run: ~~~bash python - <<'PY' import asyncio from fastmcp import Client async def main(): async with Client("http://127.0.0.1:7003/mcp") as client: print([tool.name for tool in await client.list_tools()]) asyncio.run(main()) PY ~~~ Confirm discovery contains run_compass_prediction; stop on empty, duplicate, or schema-drifted discovery. ## Connect to ToolUniverse Connect The `tuplatform-connect` relay is not yet published on PyPI. Install the reviewed public wheel below; its SHA-256 is pinned. Interactive sharing uses browser device authorization, so no key copy/paste or GitHub access is required. ~~~bash python -m pip install fastmcp pyyaml "tuplatform-connect @ https://connect.aiscientist.tools/downloads/tuplatform_connect-0.3.0-py3-none-any.whl#sha256=3fad5eee5ecf7887a693d93ccd1aa112dc0955617a885d1fc3daded0030f9ae0" tu doctor --forward http://127.0.0.1:7003/mcp --json tu serve --share --forward http://127.0.0.1:7003/mcp --name validation-immune-compass --workers 1 ~~~ Prefer browser device authorization. For CI or migration, supply `TOOLUNIVERSE_SERVICE_KEY` only through a protected environment or use `tu remote login --manual-key`; never put a key in shell arguments. The authenticated 2026-08-16 Platform matrix found all 30 private owner relays online and all 41 operations discoverable. All imports remained unpublished owner drafts and were invoked through `/expert-sessions/{id}/test`. This implementation's draft(s) used a 120-second timeout and remote max concurrency 1. Across the set, 38 unique operations passed return-schema and semantic validation; the three USPTO operations returned exact provider HTTP 403 and remain credential-blocked. Public publication, independent-caller authorization/isolation, broad saturation, and persistent supervision were not tested. ## Run a verified example Operation: run_compass_prediction ~~~json {"gene_expression_data_path":"compass_gide_official_sample_1.tsv","threshold":0.5} ~~~ Invoke the example through the live local MCP endpoint: ~~~bash python - <<'PY' import asyncio import json from fastmcp import Client async def main(): arguments = json.loads('''{"gene_expression_data_path":"compass_gide_official_sample_1.tsv","threshold":0.5}''') async with Client("http://127.0.0.1:7003/mcp") as client: result = await client.call_tool("run_compass_prediction", arguments) print(result) asyncio.run(main()) PY ~~~ Expected success shape: a finite `responder_probability`, the applied `threshold`, `is_responder`, at most 44 finite ranked `top_concepts`, and model provenance containing `artifact_format=compass-safe-v1`, the pinned source digest/revision, and device. The validated official sample returned a non-responder probability of approximately `1.2848061e-20` and ranked `Mast` first. This is not a clinical-validity claim. ## Tune GPU and concurrency - Use one worker as a conservative, unmeasured default. - Measure cold start, two warm calls, then parallel levels 1, 2, 4, 8, and only 16 if memory permits. - Record successes/errors, p50/p95, peak RAM/VRAM, utilization, queueing, cancellation cleanup, and recovery. - Increase workers only after single-flight initialization and sanitized recoverable OOM/timeout behavior are proven. ## Troubleshoot and clean up - Import/executable failure: reactivate the isolated environment and reinstall its requirements. - Missing artifact: inspect provider-only environment variables and approved relative files; never accept arbitrary caller model paths. - 401/403 on deliberate network binding: configure matching TOOLUNIVERSE_API_TOKEN bearer auth; prefer loopback plus relay. - Stop server/relay with Ctrl-C. If installed, run `tuplatform-service uninstall --name validation-immune-compass`. - Revoke temporary keys. After confirmation, remove only .venvs/immune-compass, caches/immune-compass, and runs/immune-compass; never use a broad recursive target. Use only official upstream documentation linked by the implementation README; do not substitute third-party model mirrors.
GitHub에서 보기