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Victor Dibia 777f2abbd7
Load and Save state in AgentChat (#4436) 
1. convert dataclass types to pydantic basemodel 
2. add save_state and load_state for ChatAgent
3. state types for AgentChat
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
2024-12-04 16:14:41 -08:00
..
AssistantBench
Flatten core base and components (#4513)
2024-12-03 17:00:44 -08:00
GAIA
Flatten core base and components (#4513)
2024-12-03 17:00:44 -08:00
HumanEval
Flatten core base and components (#4513)
2024-12-03 17:00:44 -08:00
WebArena
Load and Save state in AgentChat (#4436)
2024-12-04 16:14:41 -08:00
.gitignore
Adding Benchmarks to agbench (#3803)
2024-10-18 06:33:33 +02:00
process_logs.py
Adding Benchmarks to agbench (#3803)
2024-10-18 06:33:33 +02:00
README.md
Adding Benchmarks to agbench (#3803)
2024-10-18 06:33:33 +02:00

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 .