AccuralAI Meta-Package
This is the meta-package for the complete AccuralAI ecosystem. It provides convenient installation options for all AccuralAI components.
Installation
# Install complete ecosystem
pip install accuralai[all]
# Install core components only
pip install accuralai
# Install with specific backends
pip install accuralai[backends]
# Install minimal setup
pip install accuralai[minimal]
What's Included
Core Components (installed by default)
accuralai-core- Orchestration nucleusaccuralai-canonicalize- Canonicalization utilitiesaccuralai-cache- Caching providersaccuralai-router- Routing strategiesaccuralai-validator- Validation plugins
Optional Components
accuralai-ollama- Ollama backend adapteraccuralai-google- Google GenAI backend adapter
Individual Package Installation
You can also install individual packages directly:
pip install accuralai-core
pip install accuralai-cache
pip install accuralai-canonicalize
# etc.
Development
For development, install with dev dependencies:
pip install accuralai[dev]
Links
Metadata
Release files for accuralai 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| accuralai-0.2.1.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| accuralai-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.6 kB
Release files / accuralai-0.2.1.tar.gz
| Download URL | accuralai-0.2.1.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
91712bc256ac4b18356bf65a53adcf371b23e38df786780a28250d046e5256e6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|
Release files / accuralai-0.2.1-py3-none-any.whl
| Download URL | accuralai-0.2.1-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
34faacb866a6b59e74b4916bb6c476c461be047240150b5334e26819f77c0369
|
|
BLAKE2b-256 checksum How to use checksums |
dc37e2a5618029654a955d258ca167759d9d798bb6a0ba8475e08ab710d7885d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|