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diff --git a/collaborativeagents/scripts/test_all_methods.sbatch b/collaborativeagents/scripts/test_all_methods.sbatch
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+++ b/collaborativeagents/scripts/test_all_methods.sbatch
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+#!/bin/bash
+#SBATCH --job-name=test_all
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=32
+#SBATCH --gres=gpu:4
+#SBATCH --mem=200G
+#SBATCH --time=02:00:00
+#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/test_all_methods_%j.out
+#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/test_all_methods_%j.err
+
+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="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/src:$PYTHONPATH"
+
+PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl"
+AGENT_MODEL="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+USER_MODEL="meta-llama/Llama-3.1-70B-Instruct"
+
+echo "=== Small-scale test: ALL methods with 70B user sim ==="
+echo "Scale: 5 profiles × 3 sessions = 15 sessions per method"
+date
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+
+# Start 70B user simulator on GPUs 0,1
+echo ""
+echo "Starting 70B user simulator..."
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $USER_MODEL \
+    --port 8004 --tensor-parallel-size 2 --gpu-memory-utilization 0.90 \
+    --max-model-len 8192 --dtype bfloat16 --download-dir $HF_HOME &
+USER_PID=$!
+
+# Start 8B agent on GPUs 2,3 (0.45 for RAG methods)
+echo "Starting 8B agent (0.45 memory for embedding/reranker)..."
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $AGENT_MODEL \
+    --port 8003 --tensor-parallel-size 2 --gpu-memory-utilization 0.45 \
+    --max-model-len 8192 --dtype bfloat16 &
+AGENT_PID=$!
+
+# Wait for servers
+echo "Waiting for vLLM servers (70B takes ~8 min)..."
+for i in {1..200}; do
+    if curl -s http://localhost:8004/health > /dev/null 2>&1; then
+        echo "70B user simulator ready after $((i*5))s"
+        break
+    fi
+    sleep 5
+done
+for i in {1..60}; do
+    if curl -s http://localhost:8003/health > /dev/null 2>&1; then
+        echo "8B agent ready after $((i*5))s"
+        break
+    fi
+    sleep 5
+done
+
+echo ""
+echo "=== GPU Memory after vLLM servers ==="
+nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv
+
+# Test each method sequentially
+for METHOD in vanilla contextual reflection all_memory rag rag_vector; do
+    echo ""
+    echo "=============================================="
+    echo "Testing method: $METHOD"
+    echo "=============================================="
+    date
+    
+    python scripts/run_experiments.py --methods $METHOD \
+        --datasets math-hard --n-profiles 5 --n-sessions 3 --max-turns 10 \
+        --use-vllm --no-batch-processing --parallel-profiles 5 \
+        --output-dir ../results/test_all_methods --profile-path $PROFILE_PATH
+    
+    echo ""
+    echo "=== GPU Memory after $METHOD ==="
+    nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv
+done
+
+echo ""
+echo "=============================================="
+echo "ALL METHODS TESTED"
+echo "=============================================="
+date
+
+pkill -f "vllm.entrypoints" 2>/dev/null || true