| Name | dhti-elixir-base JSON |
| Version |
0.9.1
JSON |
| download |
| home_page | None |
| Summary | DHTI Elixir Base |
| upload_time | 2025-10-24 11:15:38 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.10 |
| license | None |
| keywords |
gen ai
dhti
python
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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|
# [DHTI ELIXIR BASE](https://github.com/dermatologist/dhti)
[](https://img.shields.io/github/v/release/dermatologist/dhti-elixir-base)
[](https://github.com/dermatologist/dhti-elixir-base/actions/workflows/pytest.yml?query=branch%3Adevelop)
[](https://codecov.io/gh/dermatologist/dhti-elixir-base)
[](https://img.shields.io/github/commit-activity/m/dermatologist/dhti-elixir-base)
[](https://pypi.org/project/dhti-elixir-base)
[](https://dermatologist.github.io/dhti-elixir-base/)
Base library for creating new [DHTI](https://github.com/dermatologist/dhti) Elixirs.
[What is DHTI?](https://github.com/dermatologist/dhti) DHTI (Digital Health Tooling Interface) provides building blocks for interoperable, healthcare-focused AI tooling. This repository is the minimal foundation you extend to build your own "Elixir"—a reusable, testable component (chain/agent/server) that plugs into the wider DHTI ecosystem.
Status: WIP, but stable enough to scaffold new Elixirs and iterate quickly.
<!-- gh-dependents-info-used-by-start -->
[](https://github.com/dermatologist/dhti-elixir-base/blob/main/docs/github-dependents-info.md)<!-- gh-dependents-info-used-by-end -->
## Overview
This package exposes lightweight, composable base classes:
- `BaseChain` – a LangChain-compatible chain scaffold with sensible defaults.
- `BaseAgent` – an agent scaffold that can bind tools and work with LangGraph.
- `BaseGraph`, `BaseLLM`, `BaseServer`, `BaseSpace`, and `BaseDhtiModel` – helpers to organize more complex Elixirs.
Use these to rapidly create a new Elixir with a consistent structure, tests, and docs.
### Dependency Injection (mydi.py / di)
The codebase uses a simple dependency injection pattern via `mydi.py` and the `get_di` function. This allows you to:
- Configure FHIR endpoints, authentication, and other settings at runtime
- Swap out implementations for testing or customization
- Keep your code modular and maintainable
### CDS Hook Module (Frontend Integration)
The `cds_hook` module now provides request parsing and context extraction for CDS Hooks workflows. It supports:
- Parsing various CDS Hooks request formats
- Extracting patient and order context
This enables integration with frontend CDS Hooks clients.
### FHIR Module (Backend Integration: SMART on FHIR & FHIRPath)
The `fhir` module includes advanced backend features:
- **SMART on FHIR**: The `SmartOnFhirSearch` class provides secure, standards-based access to FHIR resources using OAuth2 and the SMART on FHIR protocol. It supports:
- Patient-centric resource queries (Conditions, Observations, Procedures, MedicationRequests, AllergyIntolerances)
- $everything operation for comprehensive patient data
- Automatic token management and authentication
- **FHIRPath Support**: All resource queries can apply FHIRPath expressions for flexible data extraction and transformation.
[](https://dermatologist.github.io/dhti-elixir-base/)
## Project layout
- `src/dhti_elixir_base/` – base classes and minimal utilities.
- `tests/` – example tests to keep your Elixir robust.
- `examples/` – quick patterns for chains/graphs.
- `docs/` – MkDocs configuration for documentation.
## Learn more
- DHTI home: https://github.com/dermatologist/dhti
- This template docs: https://dermatologist.github.io/dhti-elixir-base/
## Give us a star ⭐️
If you find this project useful, give us a star. It helps others discover the project.
## Contributors
* [Bell Eapen](https://nuchange.ca) | [](https://twitter.com/beapen)
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