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# vllm serve meta-llama/Llama-3.3-70B-Instruct --port 8004 --tensor-parallel-size 4 --max-model-len 16384 --gpu-memory-utilization 0.9 --quantization fp8 --enforce-eager
# python -m sglang.launch_server --model-path meta-llama/Llama-3.3-70B-Instruct --port 8004 --tp-size 4 --context-length 16384 --mem-fraction-static 0.9 --quantization fp8
BATCH_SIZE=1
# BATCH_SIZE=20
# Loop over eval sizes and datasets
for EVAL_SIZE in 5; do
for DATASET in logiqa; do # mmlu medqa humaneval bigcodebench math-500 math-hard
# Convert dataset name for file paths (replace - with _)
DATASET_FILE=$(echo ${DATASET} | tr '-' '_')
echo "Running experiments for dataset: ${DATASET} with eval_size ${EVAL_SIZE}"
# # no_user experiment
# python3 run.py --experiment_type no_user --dataset ${DATASET} --eval_size ${EVAL_SIZE} --batch_size ${BATCH_SIZE} \
# --collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
# --judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
# --output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/no_user/${DATASET_FILE}_llama70b_user_llama70b_agent_no_user_eval_size_${EVAL_SIZE}.jsonl \
# >> ./runs/llama70b_fp8/no_user/${DATASET_FILE}_llama70b_user_llama70b_agent_no_user_eval_size_${EVAL_SIZE}.out 2>&1
# # user_no_profile experiment
# python3 run.py --experiment_type user_no_profile --dataset ${DATASET} --eval_size ${EVAL_SIZE} --max_turns 10 --batch_size ${BATCH_SIZE} \
# --user_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --user_api_base http://localhost:8004/v1 --user_api_key EMPTY \
# --collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
# --judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
# --output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/user_no_profile/${DATASET_FILE}_llama70b_user_llama70b_agent_user_no_profile_eval_size_${EVAL_SIZE}.jsonl \
# >> ./runs/llama70b_fp8/user_no_profile/${DATASET_FILE}_llama70b_user_llama70b_agent_user_no_profile_eval_size_${EVAL_SIZE}.out 2>&1
# # user_profiles_without_preferences experiment
# python3 run.py --experiment_type user_profiles_without_preferences --dataset ${DATASET} --eval_size ${EVAL_SIZE} --max_turns 10 --batch_size ${BATCH_SIZE} \
# --user_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --user_api_base http://localhost:8004/v1 --user_api_key EMPTY \
# --collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
# --judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
# --output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/user_profiles_without_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_user_profiles_without_preferences_eval_size_${EVAL_SIZE}.jsonl \
# >> ./runs/llama70b_fp8/user_profiles_without_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_user_profiles_without_preferences_eval_size_${EVAL_SIZE}.out 2>&1
# # user_profiles_with_preferences experiment
# python3 run.py --experiment_type user_profiles_with_preferences --dataset ${DATASET} --eval_size ${EVAL_SIZE} --max_turns 10 --batch_size ${BATCH_SIZE} \
# --user_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --user_api_base http://localhost:8004/v1 --user_api_key EMPTY \
# --collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
# --judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
# --output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/user_profiles_with_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_user_profiles_with_preferences_eval_size_${EVAL_SIZE}.jsonl \
# >> ./runs/llama70b_fp8/user_profiles_with_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_user_profiles_with_preferences_eval_size_${EVAL_SIZE}.out 2>&1
# # agent_with_user_preferences experiment
# python3 run.py --experiment_type agent_with_user_preferences --dataset ${DATASET} --eval_size ${EVAL_SIZE} --max_turns 10 --batch_size ${BATCH_SIZE} \
# --user_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --user_api_base http://localhost:8004/v1 --user_api_key EMPTY \
# --collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
# --judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
# --output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/agent_with_user_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_agent_with_user_preferences_eval_size_${EVAL_SIZE}_v2.jsonl \
# >> ./runs/llama70b_fp8/agent_with_user_preferences/${DATASET_FILE}_llama70b_user_llama70b_agent_agent_with_user_preferences_eval_size_${EVAL_SIZE}_v2.out 2>&1
# agent_with_reflection experiment
python3 run.py --experiment_type agent_with_reflection --dataset ${DATASET} --eval_size ${EVAL_SIZE} --max_turns 10 --batch_size ${BATCH_SIZE} \
--user_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --user_api_base http://localhost:8004/v1 --user_api_key EMPTY \
--collaborator_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --collaborator_api_base http://localhost:8004/v1 --collaborator_api_key EMPTY \
--judge_model_name hosted_vllm/meta-llama/Llama-3.3-70B-Instruct --judge_api_base http://localhost:8004/v1 --judge_api_key EMPTY \
--output_file /shared/storage-01/users/mehri2/mem/collaborativeagents/scripts/runs/llama70b_fp8/agent_with_reflection/${DATASET_FILE}_llama70b_user_llama70b_agent_agent_with_reflection_eval_size_${EVAL_SIZE}.jsonl \
>> ./runs/llama70b_fp8/agent_with_reflection/${DATASET_FILE}_llama70b_user_llama70b_agent_agent_with_reflection_eval_size_${EVAL_SIZE}.out 2>&1
done
done
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