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#!/bin/bash
# Ablation experiment: z_short necessity
# Run rag_vector_no_short (z_long only) and rag_vector_no_long (z_short only)
# Same setup as 60s main experiment for direct comparison
echo "Starting z_short ablation experiments..."
echo "$(date '+%Y-%m-%d %H:%M:%S')"
# First: run rag_vector_no_short (only z_long, no within-session adaptation)
echo "Starting rag_vector_no_short..."
python collaborativeagents/scripts/run_experiments.py \
--methods rag_vector_no_short \
--datasets math-hard,math-500,bigcodebench \
--n-profiles 60 \
--n-sessions 60 \
--max-turns 10 \
--use-vllm \
--vllm-agent-url http://localhost:8003/v1 \
--vllm-user-url http://localhost:8004/v1 \
--use-batch-processing \
--batch-size 4 \
--parallel-profiles 20 \
--profile-path collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl \
--output-dir collaborativeagents/results/ablation_no_short_60s \
2>&1 | tee collaborativeagents/results/ablation_no_short_60s.log
echo "rag_vector_no_short completed at $(date '+%Y-%m-%d %H:%M:%S')"
# Then: run rag_vector_no_long (only z_short, no cross-session learning)
echo "Starting rag_vector_no_long..."
python collaborativeagents/scripts/run_experiments.py \
--methods rag_vector_no_long \
--datasets math-hard,math-500,bigcodebench \
--n-profiles 60 \
--n-sessions 60 \
--max-turns 10 \
--use-vllm \
--vllm-agent-url http://localhost:8003/v1 \
--vllm-user-url http://localhost:8004/v1 \
--use-batch-processing \
--batch-size 4 \
--parallel-profiles 20 \
--profile-path collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl \
--output-dir collaborativeagents/results/ablation_no_long_60s \
2>&1 | tee collaborativeagents/results/ablation_no_long_60s.log
echo "Both ablation experiments completed at $(date '+%Y-%m-%d %H:%M:%S')"
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