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diff --git a/collaborativeagents/scripts/test_batch_vs_parallel.sh b/collaborativeagents/scripts/test_batch_vs_parallel.sh
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+#!/bin/bash
+# Compare batch processing vs parallel profile processing on A100x4
+#
+# Expected result: Batch should be significantly faster because:
+# - Turn-synchronous: ALL conversations processed at same turn together
+# - Maximizes vLLM continuous batching
+# - Fewer total HTTP requests
+
+set -e
+
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents
+source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
+conda activate eval
+
+export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
+export PYTHONPATH="${PWD}:${PWD}/../src:${PYTHONPATH}"
+
+MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+PORT_USER=8004
+PORT_AGENT=8003
+
+echo "============================================"
+echo "Batch vs Parallel Processing Comparison"
+echo "============================================"
+date
+echo "Node: $(hostname)"
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+echo ""
+
+# Kill any existing vLLM servers
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+sleep 2
+
+# Start user simulator server (8B) on GPU 0-1
+echo "Starting 8B user simulator server (GPU 0-1, TP=2)..."
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B \
+    --port $PORT_USER \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.85 \
+    --max-model-len 4096 \
+    --disable-log-requests \
+    --dtype bfloat16 &
+SERVER_USER_PID=$!
+
+# Start agent server (8B) on GPU 2-3
+echo "Starting 8B agent server (GPU 2-3, TP=2)..."
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B \
+    --port $PORT_AGENT \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.85 \
+    --max-model-len 4096 \
+    --disable-log-requests \
+    --dtype bfloat16 &
+SERVER_AGENT_PID=$!
+
+echo "Waiting for servers (up to 5 min)..."
+
+# Wait for servers
+for i in $(seq 1 100); do
+    READY_USER=$(curl -s http://localhost:$PORT_USER/health > /dev/null 2>&1 && echo 1 || echo 0)
+    READY_AGENT=$(curl -s http://localhost:$PORT_AGENT/health > /dev/null 2>&1 && echo 1 || echo 0)
+
+    if [ "$READY_USER" = "1" ] && [ "$READY_AGENT" = "1" ]; then
+        echo "Both servers ready after $((i*3)) seconds"
+        break
+    fi
+    if [ $((i % 20)) -eq 0 ]; then
+        echo "  Still waiting... user=$READY_USER, agent=$READY_AGENT ($((i*3))s)"
+    fi
+    sleep 3
+done
+
+# Check health
+if ! curl -s http://localhost:$PORT_USER/health > /dev/null; then
+    echo "ERROR: User server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1
+fi
+if ! curl -s http://localhost:$PORT_AGENT/health > /dev/null; then
+    echo "ERROR: Agent server not healthy"; kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null; exit 1
+fi
+echo "✓ Both servers healthy"
+
+echo ""
+echo "============================================"
+echo "Test 1: NEW Batch Processing (20 samples)"
+echo "============================================"
+echo "This batches ALL user requests together, then ALL agent requests."
+echo ""
+
+START=$(date +%s)
+python agents/batch_vllm_agent.py \
+    http://localhost:$PORT_USER/v1 \
+    http://localhost:$PORT_AGENT/v1 \
+    20
+END=$(date +%s)
+ELAPSED_BATCH=$((END-START))
+echo ""
+echo "Batch processing time: ${ELAPSED_BATCH} seconds"
+
+echo ""
+echo "============================================"
+echo "Test 2: OLD Parallel Profile Processing (20 samples)"
+echo "============================================"
+echo "This runs 20 profiles in parallel, but each makes separate requests."
+echo ""
+
+cd scripts
+START=$(date +%s)
+python run_experiments.py \
+    --methods vanilla \
+    --datasets mmlu \
+    --n-profiles 20 \
+    --n-sessions 1 \
+    --use-vllm \
+    --vllm-user-url http://localhost:$PORT_USER/v1 \
+    --vllm-agent-url http://localhost:$PORT_AGENT/v1 \
+    --parallel-profiles 20 \
+    --output-dir ../results/batch_compare_parallel \
+    --profile-path ../data/complex_profiles_v2/profiles_100.jsonl 2>&1 | tail -30
+END=$(date +%s)
+ELAPSED_PARALLEL=$((END-START))
+echo ""
+echo "Parallel profile processing time: ${ELAPSED_PARALLEL} seconds"
+
+cd ..
+
+# Cleanup
+echo ""
+echo "Cleaning up..."
+kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null || true
+
+echo ""
+echo "============================================"
+echo "RESULTS COMPARISON"
+echo "============================================"
+echo ""
+echo "NEW Batch processing (20 conv):    ${ELAPSED_BATCH}s"
+echo "OLD Parallel profiles (20 conv):   ${ELAPSED_PARALLEL}s"
+echo ""
+if [ $ELAPSED_BATCH -gt 0 ]; then
+    SPEEDUP=$(echo "scale=2; $ELAPSED_PARALLEL / $ELAPSED_BATCH" | bc)
+    echo "Speedup with batch processing: ${SPEEDUP}x"
+fi
+echo ""
+echo "Expected: Batch should be 5-10x faster due to:"
+echo "  - Turn-synchronous processing (all convs at same turn batched)"
+echo "  - Fewer HTTP request overhead"
+echo "  - Better vLLM continuous batching utilization"
+echo ""
+date