FidelityBench
A communication fidelity benchmark for multi-agent AI systems. Part of Qualixar | Author: Varun Pratap Bhardwaj Coming soon. Follow github.com/qualixar/fidelitybench for updates.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for fidelitybench 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 | |
|---|---|---|---|
| fidelitybench-0.0.1.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fidelitybench-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 kB
Release files / fidelitybench-0.0.1.tar.gz
| Download URL | fidelitybench-0.0.1.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / fidelitybench-0.0.1-py3-none-any.whl
| Download URL | fidelitybench-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | 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/6.2.0 CPython/3.12.12
|
