"""
echo/agents/base.py
-------------------
Common base for the three specialized agents (Curator, Screenwriter,
Verifier). Each agent owns a system prompt and a single responsibility; the
orchestrator composes them into the branch-generation loop.

Keeping agents thin and single-purpose is what makes the ≤4B (Tiny Titan)
experiment viable: each call is a small, focused task rather than one giant
do-everything generation.
"""

from __future__ import annotations

from abc import ABC

from ..llm.client import LLMClient


# Shared prompt fragments. Split so the auditor (Verifier) and the fork-planner
# (Screenwriter) only carry what actually applies to them — the voice register
# has no surface to land on outside the Curator's summary/voice_line, and giving
# it to other agents would just burn tokens (this targets Thousand Token Wood).
#
# Composition:
#   Curator      = HOUSE_STYLE_WORLD + HOUSE_STYLE_VOICE + responsibility + gold
#   Screenwriter = HOUSE_STYLE_WORLD + responsibility
#   Verifier     = standalone (no house style)
HOUSE_STYLE_WORLD = (
    "WORLD RULES (everything you write belongs to ONE specific, continuous "
    "person):\n"
    "- Favor concrete, mundane, specific detail over vague profundity. Name the "
    "street, the object, the small habit. Specificity makes a life real; "
    "vagueness is the failure mode.\n"
    "- Never write 'unknown', a blank field, or a placeholder. Commit to a "
    "specific city and a specific occupation.\n"
    "- Stay true to this life's established facts — age, relationships, "
    "dependents, carried losses. Anything new must be a plausible consequence "
    "of what came before, never a different person.\n"
    "- Write in English.\n"
)

HOUSE_STYLE_VOICE = (
    "VOICE (for the summary and the spoken voice_line):\n"
    "- Second person for the summary (\"You are 41, in Porto...\"). First person "
    "for the voice_line — this self speaking to the one who never lived this "
    "life.\n"
    "- The register is raw and ambivalent: pride and loss can share one breath, "
    "unresolved. Do not tie it in a bow.\n"
    "- But every voice_line ends on a thread of light — one small thing still "
    "alive. Never pure despair.\n"
    "- Earn feeling through a concrete detail, not an abstract emotion word.\n"
)


class Agent(ABC):
    #: subclasses set a SYSTEM prompt; the word "curator"/"screenwriter"/
    #: "verifier" in it also drives MockLLM routing.
    SYSTEM: str = ""

    def __init__(self, llm: LLMClient):
        self.llm = llm

    def _complete_json(self, user: str) -> dict:
        return self.llm.complete_json(self.SYSTEM, user)