llm-strategy
Enrichment pendingDirectly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types
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Trust & integrity
Full report- Maintenance
- Dormant (494d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Personal account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 11, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Tags
README
Getting started with contributing
Clone the repository first. Then, install the environment and the pre-commit hooks with
make install
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.
To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.