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, 83 insertions, 0 deletions

diff --git a/src/personalization/evaluation/baselines/base.py b/src/personalization/evaluation/baselines/base.py
new file mode 100644
index 0000000..a3051bd
--- /dev/null
+++ b/src/personalization/evaluation/baselines/base.py
@@ -0,0 +1,83 @@
+"""
+Base class for all baseline agents.
+
+All agents must implement:
+- respond(): Generate a response to user query
+- end_session(): Called when a session ends (for memory updates)
+- reset_user(): Reset all state for a user
+"""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from typing import List, Dict, Any, Optional
+
+
+@dataclass
+class AgentResponse:
+    """Response from an agent."""
+    answer: str
+    debug_info: Dict[str, Any] = field(default_factory=dict)
+
+
+class BaselineAgent(ABC):
+    """Abstract base class for all baseline agents."""
+    
+    def __init__(self, model_name: str, **kwargs):
+        """
+        Args:
+            model_name: Name/path of the LLM to use
+            **kwargs: Additional configuration
+        """
+        self.model_name = model_name
+        self.config = kwargs
+    
+    @abstractmethod
+    def respond(
+        self,
+        user_id: str,
+        query: str,
+        conversation_history: List[Dict[str, str]],
+        **kwargs
+    ) -> AgentResponse:
+        """
+        Generate a response to the user's query.
+        
+        Args:
+            user_id: Unique identifier for the user
+            query: Current user message
+            conversation_history: List of previous messages [{"role": "user/assistant", "content": "..."}]
+            **kwargs: Additional context (e.g., task info)
+        
+        Returns:
+            AgentResponse with answer and debug info
+        """
+        pass
+    
+    @abstractmethod
+    def end_session(self, user_id: str, conversation: List[Dict[str, str]]):
+        """
+        Called when a session (one task) ends.
+        Use this to update memory, notes, etc.
+        
+        Args:
+            user_id: User identifier
+            conversation: Complete conversation from this session
+        """
+        pass
+    
+    @abstractmethod
+    def reset_user(self, user_id: str):
+        """
+        Completely reset all state for a user.
+        Called at the start of a new experiment.
+        
+        Args:
+            user_id: User identifier
+        """
+        pass
+    
+    def get_name(self) -> str:
+        """Get a descriptive name for this agent."""
+        return self.__class__.__name__
+
+