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export SERPAPI_API_KEY="1"
# Optional: change model and set proxy
# export OPENAI_API_MODEL="gpt-4o-mini"
# export GLOBAL_PROXY="http://127.0.0.1:7890"
# Optional: Azure-style OpenAI
# export OPENAI_API_TYPE="azure"
# export OPENAI_API_BASE="https://<your-azure-endpoint>/openai/deployments"
# export OPENAI_API_VERSION="2024-02-01"
# export DEPLOYMENT_ID="<your-deployment>"
export MANAGER_MODEL="gpt-4"
export MANAGER_API_BASE="https://api.chatanywhere.org/v1"
export MANAGER_API_KEY="sk-OfKMrw1GOHivFKTfFrcQQnvKRpuoqh5IPiM6qZNUz3GmBMkk"
# export REASONING_MODEL="gpt-4"
# export REASONING_API_BASE="https://api.chatanywhere.org/v1"
# export REASONING_API_KEY="sk-OfKMrw1GOHivFKTfFrcQQnvKRpuoqh5IPiM6qZNUz3GmBMkk"
# export SUPERVISOR_MODEL="gpt-4"
# export SUPERVISOR_API_BASE="https://api.chatanywhere.org/v1"
# export SUPERVISOR_API_KEY="sk-OfKMrw1GOHivFKTfFrcQQnvKRpuoqh5IPiM6qZNUz3GmBMkk"
# export OUTPUT_FILE="results.jsonl"
# export TASK_ID="0"
reasoner_urls=(
"http://10.249.46.254:8010/v1"
"http://10.249.46.254:8011/v1"
)
supervisor_urls=(
"http://10.249.46.254:8010/v1"
"http://10.249.46.254:8011/v1"
)
node_num=1
for i in $(seq 0 $((node_num - 1)) ); do
(
export REASONING_API_BASE=${reasoner_urls[$i]}
export REASONING_MODEL="openai/llama"
export REASONING_API_KEY="1"
export SUPERVISOR_API_BASE=${supervisor_urls[$i]}
export SUPERVISOR_MODEL="llama"
export SUPERVISOR_API_KEY="1"
python -u my_main.py \
--input_file results/gsm8k_100/tmp_gsm8k/part_${i}.jsonl \
--output_file results/gsm8k_100/part_${i}.jsonl \
> results/gsm8k_100/logs/node_${i}.log 2>&1 &
)
done
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