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, 74 insertions, 0 deletions

diff --git a/collaborativeagents/scripts/test_vllm_adapter.sh b/collaborativeagents/scripts/test_vllm_adapter.sh
new file mode 100755
index 0000000..af22667
--- /dev/null
+++ b/collaborativeagents/scripts/test_vllm_adapter.sh
@@ -0,0 +1,74 @@
+#!/bin/bash
+# Test vLLM with 45% memory + ContextualAdapter loading
+
+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}/scripts:${PWD}/../src:${PYTHONPATH}"
+
+MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+
+echo "=== Testing vLLM 45% memory + Adapter ==="
+echo "GPUs available:"
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+
+# Kill any existing vLLM
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+sleep 2
+
+echo ""
+echo "Memory before vLLM:"
+nvidia-smi --query-gpu=index,memory.used --format=csv
+
+echo ""
+echo "Starting vLLM with 45% memory on GPU 0,1..."
+CUDA_VISIBLE_DEVICES=0,1 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_8B --port 8004 --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.45 --max-model-len 8192 \
+    --disable-log-requests --dtype bfloat16 &
+
+VLLM_PID=$!
+echo "vLLM PID: $VLLM_PID"
+
+echo "Waiting for vLLM to start..."
+for i in $(seq 1 60); do
+    if curl -s http://localhost:8004/health > /dev/null 2>&1; then
+        echo "vLLM ready after $((i*2))s"
+        break
+    fi
+    sleep 2
+done
+
+echo ""
+echo "Memory after vLLM started:"
+nvidia-smi --query-gpu=index,memory.used --format=csv
+
+echo ""
+echo "Testing ContextualAdapter loading..."
+python -c "
+import sys
+sys.path.insert(0, 'collaborativeagents')
+sys.path.insert(0, 'src')
+
+from adapters.contextual_adapter import ContextualAdapter
+print('Creating ContextualAdapter...')
+adapter = ContextualAdapter()
+print('Initializing (loading model)...')
+adapter.initialize()
+print('Testing generation...')
+adapter.start_session('test')
+result = adapter.generate_response('What is 2+2?')
+print(f'Response: {result[\"response\"][:100]}')
+print('SUCCESS: ContextualAdapter works with vLLM running!')
+"
+
+echo ""
+echo "Final memory usage:"
+nvidia-smi --query-gpu=index,memory.used --format=csv
+
+# Cleanup
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+echo "Test complete!"