| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 3 | 0% |
| Commands | 0 | 0 | 5 | 0% |
| Section tags | 0 | 1 | 4 | 0% |
What each file covers
Sections
0 shared · 1 only in A · 3 only in B- − ML Inference Memory
- + AI Service Instructions
- + Commands
- + Rules
Commands
0 shared · 0 only in A · 5 only in B- + python -m uvicorn app.main:app --reload
- + python -m ruff check .
- + python -m pytest
- + python -m mypy app
- + mypy app
Section tags
0 shared · 1 only in A · 4 only in B- − performance
- + test
- + lint-format
- + do-not
- + agent-behaviour
Line diff
Aledon8/OpenLeukemia · ml/inference/CLAUDE.md
@@ −1 @@
1# ML Inference Memory
2
3Apply this inside `ml/inference/`.
4
5- Keep inference interfaces typed, deterministic, and easy to validate.
6- Return explainable scores or signals with limitations, not clinical conclusions.
7- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8- Validate feature order, units, and missing-value behavior explicitly.
9
Aledon8/OpenLeukemia · ai-service/CLAUDE.md
@@ +1 @@
1# AI Service Instructions
2
3This directory contains the FastAPI service for Python-native workloads: ML inference, document extraction, OCR or parsing workflows, model-facing APIs, and compute-heavy jobs.
4
5## Commands
6
7Run from `ai-service/`:
8
9```sh
10python -m uvicorn app.main:app --reload
11python -m ruff check .
12python -m pytest
13python -m mypy app
14```
15
16## Rules
17
18- Keep route handlers thin and focused on HTTP concerns.
19- Put reusable behavior in `app/domains/` services and schemas.
20- Use explicit Pydantic request and response models.
21- Preserve strict typing and keep `mypy app` clean.
22- Treat extraction results as candidate data until validated or confirmed.
23- Keep generated explanations non-diagnostic and patient-safe.
24- For endpoint changes, define the request/response contract and tests before broad implementation.
25
@@ −1 +1 @@
1−# ML Inference Memory
1+# AI Service Instructions
22
3−Apply this inside `ml/inference/`.
3+This directory contains the FastAPI service for Python-native workloads: ML inference, document extraction, OCR or parsing workflows, model-facing APIs, and compute-heavy jobs.
44
5−- Keep inference interfaces typed, deterministic, and easy to validate.
6−- Return explainable scores or signals with limitations, not clinical conclusions.
7−- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8−- Validate feature order, units, and missing-value behavior explicitly.
5+## Commands
6+
7+Run from `ai-service/`:
8+
9+```sh
10+python -m uvicorn app.main:app --reload
11+python -m ruff check .
12+python -m pytest
13+python -m mypy app
14+```
15+
16+## Rules
17+
18+- Keep route handlers thin and focused on HTTP concerns.
19+- Put reusable behavior in `app/domains/` services and schemas.
20+- Use explicit Pydantic request and response models.
21+- Preserve strict typing and keep `mypy app` clean.
22+- Treat extraction results as candidate data until validated or confirmed.
23+- Keep generated explanations non-diagnostic and patient-safe.
24+- For endpoint changes, define the request/response contract and tests before broad implementation.
925
