Quality Notes - Tool-Call Fine-Tune Lab
Updated: 2026-05-30
These notes keep the repository easy to evaluate without overstating what is production-ready.
Profile
| Field | Value |
|---|---|
| Repository | tool-call-finetune-lab |
| Primary stack | Python, Docker |
| System expectation | Local verification should not require customer data or production credentials. |
Commands
| Purpose | Command |
|---|---|
| Full local gate | make verify |
| Test suite | make test |
CI
- .github/workflows/architecture-blueprint.yml
- .github/workflows/ci.yml
- .github/workflows/dependency-architecture.yml
- .github/workflows/repository-health.yml
- .github/workflows/repository-surface.yml
- .github/workflows/secret-scan.yml
Boundaries
- Demo, fixture, and synthetic-data modes must stay clearly labeled.
- Provider keys, tenant credentials, warehouse secrets, medical data, financial data, or customer logs must never be committed.
- Production claims require environment-specific validation, monitoring, rollback, and human approval paths.
- Screenshots, videos, and README claims should match the current implementation and documented commands.
Before Presenting
- README explains the user, the problem, the safety boundary, and the shortest evaluation path.
docs/service-launch-playbook.mdexplains the product, pilot, service, or proof-of-value angle when relevant.- Tests or smoke checks are documented even when optional infrastructure is unavailable.
- Failure modes and unsupported claims are visible before the project is presented externally.
Checked-in evidence inventory
The following files and commands are discovered from this repository rather than inferred from a generic template. Their presence does not prove production readiness by itself; it gives reviewers a concrete path to reproduce the maintained checks.
Verification commands
make verifymake testmake lint
Test files
tests/__init__.pytests/__pycache__/__init__.cpython-311.pyctests/__pycache__/__init__.cpython-312.pyctests/__pycache__/test_data_pipeline.cpython-311-pytest-9.1.1.pyctests/__pycache__/test_data_pipeline.cpython-312-pytest-9.1.1.pyctests/__pycache__/test_data_pipeline.cpython-312.pyctests/__pycache__/test_docker_entrypoint.cpython-311-pytest-9.1.1.pyctests/__pycache__/test_docker_entrypoint.cpython-312-pytest-9.1.1.pyctests/__pycache__/test_docker_entrypoint.cpython-312.pyctests/__pycache__/test_eval_runner.cpython-311-pytest-9.1.1.pyctests/__pycache__/test_eval_runner.cpython-312-pytest-9.1.1.pyctests/__pycache__/test_public_surface.cpython-311-pytest-9.1.1.pyctests/__pycache__/test_public_surface.cpython-312-pytest-9.1.1.pyctests/__pycache__/test_training_config.cpython-311-pytest-9.1.1.pyctests/__pycache__/test_training_config.cpython-312-pytest-9.1.1.pyctests/__pycache__/test_training_config.cpython-312.pyctests/test_data_pipeline.pytests/test_docker_entrypoint.pytests/test_eval_runner.pytests/test_public_surface.py
Continuous integration workflows
.github/workflows/architecture-blueprint.yml.github/workflows/ci.yml.github/workflows/dependency-review.yml.github/workflows/github-pages-demo.yml.github/workflows/repository-health.yml.github/workflows/repository-surface.yml.github/workflows/secret-scan.yml
How to interpret the result
A passing local or CI check supports only the behavior covered by that check. It does not establish security certification, regulatory approval, clinical validity, production availability, or a customer outcome. Review the source, fixtures, environment assumptions, and failure paths before extending the result to another deployment.