Django AI Framework (DAIF)
A comprehensive framework for integrating AI capabilities into Django applications, with LangChain powering the underlying LLM interactions.
Features
- Seamless integration with Django models and authentication
- Support for multiple LLM providers (OpenAI, Anthropic, Mistral) via LangChain
- Conversation management and history
- Permission and quota systems
- Pre/post processing pipeline
- Tool system for extending AI capabilities with custom functions
- Team coordination for multi-agent workflows using LangChain orchestration
- Django-native interface with LangChain power under the hood
Architecture
DAIF uses a layered architecture:
- Public Interface Layer: Django models and clean APIs
- Service Layer: Business logic and orchestration
- Adapter Layer: Converts between DAIF and LangChain types
- LangChain Layer: Handles all LLM interactions
This approach gives you the simplicity of a Django-native API with the power and flexibility of LangChain.
Installation
First version with complete documentation coming soon!
Documentation
First version with complete documentation coming soon!
Development
First version with complete documentation coming soon!
License
This project is licensed under the MIT License - see the LICENSE file for details.
Metadata
Release files for django-ai-framework 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| django_ai_framework-0.0.1.tar.gz | 3.7 kB | Without provenance | Details |
Release files / django_ai_framework-0.0.1.tar.gz
| Download URL | django_ai_framework-0.0.1.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f410af86ddc05dc4d59a828e01fb404a6fb1e0069086f2b946e1abfb427a47ae
|
|
BLAKE2b-256 checksum How to use checksums |
1b1d890544a488efb5c32278798c309317a967f351ec4582725be1dee39dfa60
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Security for django-ai-framework 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.