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autogen/python/packages/agbench/benchmarks
Enhao Zhang 0e4efd0efc
Add example for parallel agents (#6311) 		1 year ago
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GAIA Add example for parallel agents (#6311) 1 year ago
HumanEval Improvements to agbench (#5776) 1 year ago
.gitignore Adding Benchmarks to agbench (#3803) 1 year ago
README.md Adding Benchmarks to agbench (#3803) 1 year ago
process_logs.py Adding Benchmarks to agbench (#3803) 1 year ago

README.md

Benchmarking Agents

This directory provides ability to benchmarks agents (e.g., built using Autogen) using AgBench. Use the instructions below to prepare your environment for benchmarking. Once done, proceed to relevant benchmarks directory (e.g., benchmarks/GAIA) for further scenario-specific instructions.

Setup on WSL

  1. Install Docker Desktop. After installation, restart is needed, then open Docker Desktop, in Settings, Ressources, WSL Integration, Enable integration with additional distros – Ubuntu

  2. Clone autogen and export AUTOGEN_REPO_BASE. This environment variable enables the Docker containers to use the correct version agents.

    git clone git@github.com:microsoft/autogen.git
export AUTOGEN_REPO_BASE=<path_to_autogen>

  3. Install agbench. AgBench is currently a tool in the Autogen repo.

    cd autogen/python/packages/agbench
pip install -e .
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This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Python SVG Jupyter Notebook C# TSX other