Add collaborativeagents module and update gitignore

- Add collaborativeagents subproject with adapters, agents, and evaluation modules
- Update .gitignore to exclude large binary files (.whl, .tar), wandb logs, and results

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

1 files changed, 137 insertions, 0 deletions

diff --git a/collaborativeagents/scripts/quick_test_h200.sbatch b/collaborativeagents/scripts/quick_test_h200.sbatch
new file mode 100644
index 0000000..a1f115d
--- /dev/null
+++ b/collaborativeagents/scripts/quick_test_h200.sbatch
@@ -0,0 +1,137 @@
+#!/bin/bash
+#SBATCH --job-name=quick_batch_test
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8
+#SBATCH --gres=gpu:4
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=16
+#SBATCH --mem=128G
+#SBATCH --time=01:00:00
+#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/quick_batch_test-%j.out
+#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/quick_batch_test-%j.err
+
+# Quick test: 10 profiles × 5 sessions = 50 sessions
+# Tests batch (vanilla) processing on H200
+
+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 "Quick Test: Batch Processing on H200"
+echo "============================================"
+echo "Profiles: 10"
+echo "Sessions/profile: 5"
+echo "Total: 50 sessions"
+echo ""
+date
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+echo ""
+
+# Kill any existing servers
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+sleep 2
+
+# Start vLLM servers
+echo "Starting 8B user simulator (GPU 0-1, TP=2)..."
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B \
+    --port $PORT_USER \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.85 \
+    --max-model-len 8192 \
+    --disable-log-requests \
+    --dtype bfloat16 &
+SERVER_USER_PID=$!
+
+echo "Starting 8B agent (GPU 2-3, TP=2)..."
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B \
+    --port $PORT_AGENT \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.85 \
+    --max-model-len 8192 \
+    --disable-log-requests \
+    --dtype bfloat16 &
+SERVER_AGENT_PID=$!
+
+echo "Waiting for servers (may take 5-10 min for CUDA graph compilation)..."
+for i in $(seq 1 200); do
+    READY_USER=$(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))s"
+        break
+    fi
+    if [ $((i % 20)) -eq 0 ]; then
+        echo "  Still waiting... ($((i*3))s)"
+    fi
+    sleep 3
+done
+
+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 $SERVER_AGENT_PID 2>/dev/null; exit 1
+fi
+echo "Both servers healthy"
+echo ""
+
+# Run quick test with vanilla (batch)
+echo "============================================"
+echo "Test: BATCH processing (vanilla method)"
+echo "============================================"
+START=$(date +%s)
+
+PROFILE_PATH="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/data/complex_profiles_v2/profiles_100.jsonl"
+
+python scripts/run_experiments.py \
+    --methods vanilla \
+    --datasets math-hard \
+    --n-profiles 10 \
+    --n-sessions 5 \
+    --max-turns 15 \
+    --use-vllm \
+    --batch-size 50 \
+    --parallel-profiles 10 \
+    --output-dir ../results/quick_test_batch_h200 \
+    --profile-path "$PROFILE_PATH"
+
+END=$(date +%s)
+ELAPSED=$((END-START))
+echo ""
+echo "Vanilla (batch) completed in ${ELAPSED}s"
+
+# Cleanup
+echo ""
+echo "Cleaning up..."
+kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null || true
+
+echo ""
+echo "============================================"
+echo "QUICK TEST RESULTS"
+echo "============================================"
+echo ""
+echo "Vanilla (BATCH): ${ELAPSED}s for 50 sessions"
+echo ""
+
+if [ $ELAPSED -gt 0 ]; then
+    THROUGHPUT=$((50 * 3600 / ELAPSED))
+    echo "Throughput: ${THROUGHPUT} sessions/hr"
+fi
+
+echo ""
+echo "Results saved to: ../results/quick_test_batch_h200/"
+echo ""
+date