"""Multi-agent definitions for NeuralCAD collaborative design chat.

Agent data is loaded from config.yaml. The AGENTS dict, AGENT_COLORS,
AGENT_NAMES, and AGENT_AVATARS are kept for backward compatibility.
"""

from pydantic import BaseModel

from config.settings import settings


class AgentDef(BaseModel):
    """Definition of a chat agent."""
    id: str
    name: str
    role: str
    color: str
    avatar: str
    goal: str
    backstory: str


def _load_agents() -> dict[str, AgentDef]:
    """Load agent definitions from config.yaml."""
    agents = {}
    for agent_id, cfg in settings.agents.items():
        agents[agent_id] = AgentDef(
            id=agent_id,
            name=cfg.name or agent_id.title(),
            role=cfg.role,
            color=cfg.color,
            avatar=cfg.avatar or agent_id[0].upper(),
            goal=cfg.goal,
            backstory=cfg.backstory,
        )
    return agents


AGENTS: dict[str, AgentDef] = _load_agents()

# Backward-compatible convenience dicts
AGENT_COLORS = {agent.id: agent.color for agent in AGENTS.values()}
AGENT_AVATARS = {agent.id: agent.avatar for agent in AGENTS.values()}
AGENT_NAMES = {agent.id: agent.name for agent in AGENTS.values()}