the-echo / echo /agents /base.py
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Deploy The Echo (MockLLM path): Gradio app + echo package
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"""
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 β€” 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 β€” 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 β€” 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 β€” 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)