OpenAutoCoder Agentless AI Applications - Install Locally

 

This video installs Agentless and tries it to out on SWE-Benchmark. It is an agentless approach to automatically solve software development problems.

Code:

conda create -n agentless python=3.11 -y && conda activate agentless

conda install jupyter -y

pip uninstall charset_normalizer -y

pip install charset_normalizer

jupyter notebook

pip install torch

pip install git+https://github.com/huggingface/transformers

pip install openai

git clone https://github.com/OpenAutoCoder/Agentless.git && cd Agentless

pip install -r requirements.txt

export PYTHONPATH=$PYTHONPATH:$(pwd)

export OPENAI_API_KEY=""

mkdir projectfiles

cd projectfiles

wget https://github.com/OpenAutoCoder/Agentless/releases/download/v0.1.0/swebench_lite_repo_structure.zip

unzip swebench_lite_repo_structure.zip

export PROJECT_FILE_LOC=/home/Ubuntu/projectfiles

mkdir results

python3 agentless/fl/localize.py --file_level --related_level --fine_grain_line_level --output_folder results/location --top_n 3 --compress --context_window=10 --temperature 0.8 --num_samples 4

python3 agentless/fl/localize.py --merge --output_folder results/location_merged --start_file results/location/loc_outputs.jsonl --num_samples 4