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, 101 insertions, 0 deletions

diff --git a/collaborativeagents/slurm/run_grpo_test.sh b/collaborativeagents/slurm/run_grpo_test.sh
new file mode 100644
index 0000000..199c540
--- /dev/null
+++ b/collaborativeagents/slurm/run_grpo_test.sh
@@ -0,0 +1,101 @@
+#!/bin/bash
+#SBATCH --job-name=grpo_test
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuA100x4
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=16
+#SBATCH --gres=gpu:4
+#SBATCH --mem=200G
+#SBATCH --time=1:00:00
+#SBATCH --output=grpo_test_%j.out
+#SBATCH --error=grpo_test_%j.err
+
+set -e
+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}"
+
+# Install required packages (ensure they're in the conda env)
+echo "Installing required packages..."
+pip install --quiet json-repair tenacity
+
+# Test: Verify imports work
+echo "Testing imports..."
+python3 -c "from json_repair import repair_json; from tenacity import retry; print('Imports OK')"
+
+# Start judge model (70B) on GPUs 2,3
+MODEL_70B="meta-llama/Llama-3.1-70B-Instruct"
+
+echo "Starting judge model..."
+CUDA_VISIBLE_DEVICES=2,3 python -m vllm.entrypoints.openai.api_server \
+    --model $MODEL_70B --port 8004 --tensor-parallel-size 2 \
+    --gpu-memory-utilization 0.95 --max-model-len 8192 \
+    --download-dir $HF_HOME --dtype bfloat16 --disable-log-requests &
+
+# Wait for server
+for i in $(seq 1 60); do
+    curl -s http://localhost:8004/health > /dev/null 2>&1 && break
+    sleep 3
+done
+echo "Judge model ready"
+
+# Run GRPO with minimal steps for testing
+echo "Starting GRPO test (10 steps only)..."
+cd collaborativeagents/training/grpo_verl
+
+python -m verl.trainer.main_ppo \
+    algorithm.adv_estimator=grpo \
+    data.train_files=${PWD}/data/session_level_reflection_grpo_train.parquet \
+    data.val_files=${PWD}/data/session_level_reflection_grpo_train.parquet \
+    data.train_batch_size=8 \
+    data.max_prompt_length=2048 \
+    data.max_response_length=1024 \
+    data.filter_overlong_prompts=True \
+    data.truncation=error \
+    data.prompt_key=prompt \
+    data.reward_fn_key=data_source \
+    actor_rollout_ref.model.path=/work/nvme/bfqt/yurenh2/sft_checkpoints/checkpoint-200 \
+    actor_rollout_ref.actor.optim.lr=1e-6 \
+    actor_rollout_ref.model.use_remove_padding=True \
+    actor_rollout_ref.actor.ppo_mini_batch_size=4 \
+    actor_rollout_ref.actor.ppo_micro_batch_size_per_gpu=2 \
+    actor_rollout_ref.actor.use_kl_loss=True \
+    actor_rollout_ref.actor.kl_loss_coef=0.003 \
+    actor_rollout_ref.actor.kl_loss_type=low_var_kl \
+    actor_rollout_ref.actor.entropy_coeff=0 \
+    actor_rollout_ref.model.enable_gradient_checkpointing=True \
+    actor_rollout_ref.actor.fsdp_config.model_dtype=bfloat16 \
+    actor_rollout_ref.actor.fsdp_config.param_offload=False \
+    actor_rollout_ref.actor.fsdp_config.optimizer_offload=False \
+    actor_rollout_ref.rollout.log_prob_micro_batch_size_per_gpu=2 \
+    actor_rollout_ref.rollout.tensor_model_parallel_size=1 \
+    actor_rollout_ref.rollout.name=vllm \
+    actor_rollout_ref.rollout.gpu_memory_utilization=0.4 \
+    actor_rollout_ref.rollout.n=4 \
+    actor_rollout_ref.ref.log_prob_micro_batch_size_per_gpu=2 \
+    actor_rollout_ref.ref.fsdp_config.model_dtype=bfloat16 \
+    actor_rollout_ref.ref.fsdp_config.param_offload=True \
+    actor_rollout_ref.rollout.temperature=0.9 \
+    actor_rollout_ref.rollout.top_p=0.9 \
+    custom_reward_function.path=${PWD}/verl_reward_functions.py \
+    custom_reward_function.name=compute_score \
+    algorithm.use_kl_in_reward=False \
+    trainer.critic_warmup=0 \
+    trainer.val_before_train=False \
+    trainer.logger='["console"]' \
+    trainer.project_name=grpo-test \
+    trainer.experiment_name=llama3.1-8b-grpo-test \
+    trainer.n_gpus_per_node=2 \
+    trainer.nnodes=1 \
+    trainer.save_freq=100 \
+    trainer.test_freq=100 \
+    trainer.total_training_steps=10 \
+    trainer.default_local_dir=/scratch/bfqt/yurenh2/grpo_test_outputs
+
+echo "GRPO test complete!"
+pkill -f "vllm.entrypoints" 2>/dev/null || true