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merwanehamadi f4e7b1c61c Add eval_id and sync Skill Tree with Frontend(#5287) 
Add eval_id to skill tree

Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
2023-09-21 13:36:17 -07:00
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.vscode
Auto-GPT-20230905085638
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agbenchmark
Add eval_id and sync Skill Tree with Frontend(#5287)
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agbenchmark_config
Add eval_id and sync Skill Tree with Frontend(#5287)
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backend
Refactor benchmark (#5247)
2023-09-17 06:55:20 -07:00
frontend
Add eval_id and sync Skill Tree with Frontend(#5287)
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notebooks
Auto-GPT-20230905085638
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reports
Make agbenchmark a proxy of the evaluated agent (#5279)
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tests
Add eval_id and sync Skill Tree with Frontend(#5287)
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.env.example
Auto-GPT-20230905085638
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.flake8
Auto-GPT-20230905085638
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.gitignore
Add eval_id and sync Skill Tree with Frontend(#5287)
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.pre-commit-config.yaml
Auto-GPT-20230905085638
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.python-version
Auto-GPT-20230905085638
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agents_to_benchmark.json
Name agents like their github repos
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LICENSE
Auto-GPT-20230905085638
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mypy.ini
Auto-GPT-20230905085638
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poetry.lock
Make agbenchmark a proxy of the evaluated agent (#5279)
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pyproject.toml
Make agbenchmark a proxy of the evaluated agent (#5279)
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README.md
Auto-GPT-20230905085638
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run.sh
Fixing benchmarks
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server.py
Add back api mode
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README.md

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.

Scores:

Screenshot 2023-07-25 at 10 35 01 AM

Ranking overall:

Detailed results:

Screenshot 2023-07-25 at 10 42 15 AM

Click here to see the results and the raw data!!

More agents coming soon !