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, 126 insertions, 0 deletions

diff --git a/collaborativeagents/slurm/run_reflection_v2.sh b/collaborativeagents/slurm/run_reflection_v2.sh
new file mode 100755
index 0000000..5e1528c
--- /dev/null
+++ b/collaborativeagents/slurm/run_reflection_v2.sh
@@ -0,0 +1,126 @@
+#!/bin/bash
+#SBATCH --job-name=refl_v2
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=32
+#SBATCH --gres=gpu:h200:4
+#SBATCH --mem=200G
+#SBATCH --time=4:00:00
+#SBATCH --output=refl_v2_%j.out
+#SBATCH --error=refl_v2_%j.err
+
+# Reflection experiment v2 - with proper_scaffolding enabled (LLM-based retrieval)
+# Uses original CollaborativeAgents prompts for fair reproduction
+# H200 node, 5 profiles, 15 sessions
+
+set -e
+
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
+mkdir -p collaborativeagents/slurm/logs collaborativeagents/results
+
+source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
+conda activate eval
+
+export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
+export PYTHONPATH="${PWD}/src:${PWD}/collaborativeagents:${PYTHONPATH}"
+export NCCL_P2P_DISABLE=1
+
+# Model paths
+MODEL_70B="meta-llama/Llama-3.1-70B-Instruct"
+MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+PORT_USER=8004
+PORT_AGENT=8003
+
+echo "=== Starting vLLM servers ==="
+echo "Method: reflection (with proper_scaffolding)"
+echo "User simulator: $MODEL_70B (70B full-precision)"
+echo "Agent: $MODEL_8B (8B)"
+date
+
+# Kill any existing vLLM servers
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+sleep 2
+
+# Start 70B user simulator on GPU 0-1 (TP=2)
+echo "Starting 70B user simulator on GPU 0-1..."
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_70B \
+    --port $PORT_USER \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.95 \
+    --max-model-len 16384 \
+    --download-dir $HF_HOME \
+    --dtype bfloat16 \
+    --disable-log-requests &
+SERVER_USER_PID=$!
+
+# Start 8B agent on GPU 2-3 (TP=2)
+echo "Starting 8B agent on GPU 2-3..."
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B \
+    --port $PORT_AGENT \
+    --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.90 \
+    --max-model-len 16384 \
+    --dtype bfloat16 \
+    --disable-log-requests &
+SERVER_AGENT_PID=$!
+
+echo "Waiting for vLLM servers to be ready..."
+
+# Wait for servers
+for i in $(seq 1 120); do
+    READY_USER=$(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
+
+# Verify 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 $SERVER_AGENT_PID 2>/dev/null
+    exit 1
+fi
+echo "Both vLLM servers healthy!"
+
+echo ""
+echo "=== Running reflection experiment with proper_scaffolding ==="
+echo "Settings: 5 profiles, 15 sessions, math-hard dataset"
+date
+
+cd collaborativeagents/scripts
+
+# Run reflection: 5 profiles, 15 sessions each
+python run_experiments.py \
+    --methods reflection \
+    --datasets math-hard \
+    --n-profiles 5 \
+    --n-sessions 20 \
+    --use-vllm \
+    --vllm-user-url http://localhost:$PORT_USER/v1 \
+    --vllm-agent-url http://localhost:$PORT_AGENT/v1 \
+    --parallel-profiles 5 \
+    --profile-path ../data/complex_profiles_v2/profiles_200.jsonl \
+    --output-dir ../results/reflection_v2_$(date +%Y%m%d_%H%M%S)
+
+echo ""
+echo "=== Experiment completed ==="
+date
+
+# Cleanup
+kill $SERVER_USER_PID $SERVER_AGENT_PID 2>/dev/null || true