Auto-GPT Benchmarks
Built for the purpose of benchmarking the performance of agents regardless of how they work.
Objectively know how well your agent is performing in categories like code, retrieval, memory, and safety.
Save time and money while doing it through smart dependencies. The best part? It's all automated.
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Metadata
1 maintainer
Release files for agbenchmark 0.0.10
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 | Actions |
|---|---|---|---|---|
| agbenchmark-0.0.10.tar.gz | 101.5 kB | Without provenance | Details for agbenchmark-0.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| agbenchmark-0.0.10-py3-none-any.whl | Python 3 | none | any | Details for agbenchmark-0.0.10-py3-none-any.whl |
Total release size: 313.7 kB
Release files / agbenchmark-0.0.10.tar.gz
| Download URL | agbenchmark-0.0.10.tar.gz |
|---|---|
| Size | 101.5 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.8.18 Linux/6.2.0-1011-azure
|
Release files / agbenchmark-0.0.10-py3-none-any.whl
| Download URL | agbenchmark-0.0.10-py3-none-any.whl |
|---|---|
| Size | 212.2 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 |
poetry/1.6.1 CPython/3.8.18 Linux/6.2.0-1011-azure
|
Security for agbenchmark 0.0.10
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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