WIP: Save current work before CHORUS rebrand

- Agent roles integration progress
- Various backend and frontend updates
- Storybook cache cleanup

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

backend/app/models/__init__.py

@@ -2,4 +2,5 @@ from . import agent
 from . import agent_role
 from . import project
 from . import task
+from . import context_feedback
 from . import sqlalchemy_models

backend/app/models/agent.py

@@ -34,6 +34,8 @@ class Agent(Base):
     
     # Relationships
     tasks = relationship("Task", back_populates="assigned_agent")
+    context_feedback = relationship("ContextFeedback", back_populates="agent")
+    permissions = relationship("AgentPermissions", back_populates="agent")
     
     def to_dict(self):
         return {

backend/app/models/context_feedback.py

@@ -0,0 +1,85 @@
+"""
+Context Feedback model for RL Context Curator integration
+"""
+
+from sqlalchemy import Column, String, Text, Integer, DateTime, ForeignKey, UUID as SqlUUID, Float
+from sqlalchemy.sql import func
+from sqlalchemy.orm import relationship
+from ..core.database import Base
+import uuid
+
+
+class ContextFeedback(Base):
+    __tablename__ = "context_feedback"
+    
+    # Primary identification
+    id = Column(Integer, primary_key=True, index=True)
+    
+    # Context and agent information
+    context_id = Column(String(255), nullable=False, index=True)  # HCFS context ID
+    agent_id = Column(String(255), ForeignKey("agents.id"), nullable=False)
+    task_id = Column(SqlUUID(as_uuid=True), ForeignKey("tasks.id"), nullable=True)
+    
+    # Feedback details
+    feedback_type = Column(String(50), nullable=False)  # upvote, downvote, forgetfulness, task_success, task_failure
+    role = Column(String(100), nullable=False)          # Agent role when feedback was given
+    confidence = Column(Float, nullable=False)          # Confidence in feedback (0.0 to 1.0)
+    reason = Column(Text, nullable=True)                # Optional reason for feedback
+    usage_context = Column(String(255), nullable=True) # Context of usage (debugging, coding, etc.)
+    
+    # Additional metadata
+    directory_scope = Column(String(500), nullable=True)  # Directory where context was used
+    task_type = Column(String(100), nullable=True)        # Type of task being performed
+    
+    # Timestamps
+    timestamp = Column(DateTime(timezone=True), server_default=func.now())
+    
+    # Relationships
+    agent = relationship("Agent", back_populates="context_feedback")
+    task = relationship("Task", backref="context_feedback")
+
+
+class AgentPermissions(Base):
+    __tablename__ = "agent_permissions"
+    
+    # Primary identification
+    id = Column(Integer, primary_key=True, index=True)
+    
+    # Agent and role information
+    agent_id = Column(String(255), ForeignKey("agents.id"), nullable=False, index=True)
+    role = Column(String(100), nullable=False)
+    
+    # Permission details
+    directory_patterns = Column(Text, nullable=True)    # JSON array of path patterns
+    task_types = Column(Text, nullable=True)            # JSON array of allowed task types
+    context_weight = Column(Float, default=1.0)        # Weight for context relevance
+    
+    # Status
+    active = Column(String(10), default='true')        # String to match existing boolean patterns
+    
+    # Timestamps
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
+    
+    # Relationships
+    agent = relationship("Agent", back_populates="permissions")
+
+
+class PromotionRuleHistory(Base):
+    __tablename__ = "promotion_rule_history"
+    
+    # Primary identification
+    id = Column(Integer, primary_key=True, index=True)
+    
+    # Rule information
+    rule_version = Column(String(50), nullable=False)
+    category = Column(String(100), nullable=False)
+    role = Column(String(100), nullable=False)
+    weight_value = Column(Float, nullable=False)
+    
+    # Change information
+    change_reason = Column(Text, nullable=True)
+    previous_value = Column(Float, nullable=True)
+    
+    # Timestamps
+    timestamp = Column(DateTime(timezone=True), server_default=func.now())

backend/app/models/task.py

@@ -2,7 +2,7 @@
 Task model for SQLAlchemy ORM
 """
 
-from sqlalchemy import Column, String, Text, Integer, DateTime, ForeignKey, UUID as SqlUUID
+from sqlalchemy import Column, String, Text, Integer, DateTime, ForeignKey, UUID as SqlUUID, Float, Boolean
 from sqlalchemy.dialects.postgresql import JSONB
 from sqlalchemy.sql import func
 from sqlalchemy.orm import relationship
@@ -30,6 +30,17 @@ class Task(Base):
     # Task metadata (includes context and payload)
     task_metadata = Column("metadata", JSONB, nullable=True)
     
+    # RL Context Curator outcome tracking fields
+    completion_time = Column(Integer, nullable=True)  # Time to complete in seconds
+    errors_encountered = Column(Integer, default=0)   # Number of errors during execution
+    follow_up_questions = Column(Integer, default=0)  # Number of follow-up questions
+    success_rate = Column(Float, nullable=True)       # Success rate (0.0 to 1.0)
+    context_used = Column(JSONB, nullable=True)       # Context IDs used in this task
+    context_relevance_score = Column(Float, nullable=True)  # Average relevance of used context
+    feedback_collected = Column(Boolean, default=False)     # Whether feedback was collected
+    task_outcome = Column(String(50), nullable=True)        # completed, failed, abandoned
+    outcome_confidence = Column(Float, nullable=True)       # Confidence in outcome classification
+    
     # Timestamps
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     started_at = Column(DateTime(timezone=True), nullable=True)