Longevity database agents
LongData is a submodule of longevity-genie devoted to LLM agents that query databases
When you start working it is recommended to pip install the local folder
micromamba create -f environment.yaml
micromamиa activate longdata
to develop locally it is recommended to:
pip install -e .
to run the test questions you can do:
python main.py
Metadata
Release files for longdata 0.0.3
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 | |
|---|---|---|---|---|
| longdata-0.0.3.tar.gz | 10.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| longdata-0.0.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 23.8 kB
Release files / longdata-0.0.3.tar.gz
| Download URL | longdata-0.0.3.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / longdata-0.0.3-py2.py3-none-any.whl
| Download URL | longdata-0.0.3-py2.py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Security for longdata 0.0.3
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