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, 89 insertions, 0 deletions

diff --git a/collaborativeagents/slurm/fullscale/generate_jobs.sh b/collaborativeagents/slurm/fullscale/generate_jobs.sh
new file mode 100644
index 0000000..0bc5c0b
--- /dev/null
+++ b/collaborativeagents/slurm/fullscale/generate_jobs.sh
@@ -0,0 +1,89 @@
+#!/bin/bash
+# Generate all job scripts (6 methods × 4 profile ranges = 24 jobs)
+# Each job: 50 profiles × 15 sessions = 750 sessions ≈ 7-8 hours
+
+METHODS="vanilla contextual reflection all_memory rag rag_vector"
+RANGES="0:50 50:100 100:150 150:200"
+
+for method in $METHODS; do
+    for range in $RANGES; do
+        start=${range%:*}
+        end=${range#*:}
+
+        cat > run_${method}_p${start}.sh << EOF
+#!/bin/bash
+#SBATCH --job-name=exp_${method}_p${start}
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuA100x4
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=16
+#SBATCH --gres=gpu:nvidia_a100:2
+#SBATCH --mem=128G
+#SBATCH --time=12:00:00
+#SBATCH --output=exp_${method}_p${start}_%j.out
+#SBATCH --error=exp_${method}_p${start}_%j.err
+
+# Full run: ${method} method, profiles ${start}-${end} (50 profiles × 15 sessions)
+
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
+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
+
+set -a
+source .env
+set +a
+
+pip install --quiet openai python-dotenv json-repair
+
+MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+sleep 2
+
+CUDA_VISIBLE_DEVICES=0 python -m vllm.entrypoints.openai.api_server \\
+    --model \$MODEL_8B --port 8003 --tensor-parallel-size 1 \\
+    --gpu-memory-utilization 0.5 --max-model-len 8192 \\
+    --dtype bfloat16 --disable-log-requests &
+
+for i in \$(seq 1 90); do
+    curl -s http://localhost:8003/health > /dev/null 2>&1 && break
+    sleep 2
+done
+echo "vLLM ready."
+
+cd collaborativeagents/scripts
+
+python run_experiments.py \\
+    --methods ${method} \\
+    --datasets math-hard \\
+    --n-profiles 200 \\
+    --start-profile ${start} \\
+    --end-profile ${end} \\
+    --n-sessions 15 \\
+    --max-turns 8 \\
+    --use-vllm \\
+    --use-openai-user \\
+    --openai-user-model gpt-5-mini \\
+    --reward-mode llm \\
+    --vllm-agent-url http://localhost:8003/v1 \\
+    --parallel-profiles 25 \\
+    --profile-path ../data/complex_profiles_v2/profiles_200.jsonl \\
+    --output-dir ../results/fullscale_15sess
+
+echo "${method} p${start}-${end} complete!"
+pkill -f "vllm.entrypoints" 2>/dev/null || true
+EOF
+        chmod +x run_${method}_p${start}.sh
+        echo "Created run_${method}_p${start}.sh"
+    done
+done
+
+echo ""
+echo "Generated 24 job scripts (6 methods × 4 profile ranges)"
+echo "Each job: 50 profiles × 15 sessions = 750 sessions"
+echo "Estimated time per job: ~7-8 hours"