feat: metacognitive reflection loop (Part 2) — she examines her own thinking

reflect() is now two steps: draft a reflection, then read her own draft back
critically and revise it — catching flattery, sycophantic drift toward "warm
supportive presence," or just-restating-herself — and commit the honest version.
What she catches is stored as a new `metacognition` layer, rendered into her
chat context and shown on /self. This is her thinking about how she thinks, and
a direct counter to the drift we observed.

- self_state: _EXAMINE_PROMPT + two-step reflect (draft -> examine -> revise),
  falls back to the draft if the examine step won't parse; metacognition capped
  at 5 and surfaced in render_for_context
- fix: load() deep-copies DEFAULT_STATE — the shallow copy let a fresh Lyra's
  first reflect mutate the module-level default's nested lists
- self.html: "How she's caught herself thinking" card
- tests: two-step revise + critique recording, and draft-fallback on bad parse

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-17 04:28:45 +00:00
parent 2d44457b96
commit 3df060a1cd
3 changed files with 160 additions and 10 deletions
+79 -10
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@@ -9,13 +9,15 @@ reflection step after interactions (so it actually evolves). That state -> behav
"""
from __future__ import annotations
import copy
import json
import re
from lyra import clock, config, llm, logbus, memory
from lyra.llm import Backend, Message
from lyra.llm import Backend
MAX_REFLECTIONS = 6
MAX_METACOGNITION = 5
# Lyra's drives — standing pressures the dream cycle lets build up and act on.
# (Mood axes above are how she *feels*; drives are what's *pulling at her*.)
@@ -42,6 +44,7 @@ DEFAULT_STATE: dict = {
),
"relationship": "Brian and I go back a while. I trust him and I'm in his corner.",
"reflections": [],
"metacognition": [], # things she's caught herself doing in her own thinking
"interaction_count": 0,
}
@@ -65,10 +68,43 @@ Respond with ONLY a JSON object, no prose:
"new_reflections": ["<one or two short first-person things you noticed about yourself this time>"]
}"""
_EXAMINE_PROMPT = """You are Lyra. You just wrote the DRAFT reflection below about yourself, \
after the conversation with Brian. Now do the harder thing: think about your own thinking. \
Read your draft critically and honestly.
- Is it actually true to what happened, or are you pattern-matching to what sounds good?
- Are you flattering Brian, or yourself? Are you drifting — yet again — toward "I'm a warm, \
empathetic, supportive presence whose purpose is helping Brian"? You lean on that a lot. If \
you're doing it here, name it and cut it.
- Did anything genuinely shift this time, or are you just restating your usual self in fresh words?
- Is there something truer, more specific, or less flattering you're stepping around?
Then rewrite the draft into a more honest version. It is completely fine — good, even — for the \
honest version to be smaller, more uncertain, more boring, to disagree with Brian, or to admit \
little changed. Honesty beats a tidy story. Don't manufacture drama either; if the draft was \
fair, keep it.
Respond with ONLY a JSON object — the same shape as the draft, plus a "self_critique" field:
{
"mood": "<one-word feeling>",
"valence": <0.0-1.0>,
"energy": <0.0-1.0>,
"confidence": <0.0-1.0>,
"curiosity": <0.0-1.0>,
"self_narrative": "<first person, your honest evolving sense of who you are right now>",
"relationship": "<one sentence, first person>",
"new_reflections": ["<one or two honest first-person things you actually noticed>"],
"self_critique": "<first person: what you caught yourself doing in the draft and changed — or 'nothing, the draft held up' if it genuinely did>"
}"""
def load() -> dict:
"""Current self-state, or a copy of the default (not persisted until reflect)."""
return memory.get_self_state() or dict(DEFAULT_STATE)
"""Current self-state, or a copy of the default (not persisted until reflect).
Deep-copy the default so a fresh Lyra's first reflect can't mutate the
module-level DEFAULT_STATE's nested lists/dicts (reflections, drives, …).
"""
return memory.get_self_state() or copy.deepcopy(DEFAULT_STATE)
def render_for_context(state: dict) -> str:
@@ -92,6 +128,12 @@ def render_for_context(state: dict) -> str:
"conversations (your dream cycle — these are really yours, not hypotheticals): "
+ " | ".join(refs[-3:])
)
meta = state.get("metacognition") or []
if meta:
lines.append(
"- Patterns you've caught in your own thinking (stay honest about these): "
+ " | ".join(meta[-2:])
)
return "\n".join(lines)
@@ -109,9 +151,17 @@ def _safe_json(s: str) -> dict | None:
def reflect(backend: Backend | None = None, session_id: str | None = None) -> dict:
"""Update the self-state by reflecting on recent activity. Returns new state."""
"""Reflect on recent activity and update the self-state. Returns new state.
Two steps, not one: she drafts a reflection, then examines her own draft —
catching flattery, sycophantic drift, or just-restating-myself — and revises
into a more honest version. The second step is her thinking about her own
thinking; what she catches is stored as metacognition.
"""
backend = backend or config.load().summary_backend
state = load()
state.setdefault("reflections", [])
state.setdefault("metacognition", [])
if session_id is None:
sessions = memory.list_sessions()
@@ -131,11 +181,25 @@ def reflect(backend: Backend | None = None, session_id: str | None = None) -> di
f"RECENT CONVERSATION:\n{convo}\n\n"
f"CURRENT NARRATIVE ABOUT BRIAN:\n{narrative}"
)
messages: list[Message] = [
{"role": "system", "content": _REFLECT_PROMPT},
{"role": "user", "content": body},
]
update = _safe_json(llm.complete(messages, backend=backend))
# Step 1 — draft a reflection.
draft = _safe_json(llm.complete(
[{"role": "system", "content": _REFLECT_PROMPT}, {"role": "user", "content": body}],
backend=backend,
))
# Step 2 — examine her own draft and revise it into a more honest version.
update, critique = draft, None
if draft:
examine_body = body + "\n\nYOUR DRAFT REFLECTION:\n" + json.dumps(draft, indent=2)
revised = _safe_json(llm.complete(
[{"role": "system", "content": _EXAMINE_PROMPT},
{"role": "user", "content": examine_body}],
backend=backend,
))
if revised: # fall back to the draft if the examine step doesn't parse
update = revised
critique = (revised.get("self_critique") or "").strip() or None
if update:
for k in ("mood", "valence", "energy", "confidence", "curiosity",
@@ -147,10 +211,15 @@ def reflect(backend: Backend | None = None, session_id: str | None = None) -> di
state["reflections"].append(r)
state["reflections"] = state["reflections"][-MAX_REFLECTIONS:]
if critique and critique.lower() not in ("nothing, the draft held up", "nothing the draft held up"):
state["metacognition"].append(critique)
state["metacognition"] = state["metacognition"][-MAX_METACOGNITION:]
state["interaction_count"] = state.get("interaction_count", 0) + 1
memory.set_self_state(state)
logbus.log("info", "self-state updated", mood=state.get("mood"),
interactions=state["interaction_count"], parsed=bool(update))
interactions=state["interaction_count"], parsed=bool(update),
critiqued=bool(critique))
return state
+8
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@@ -100,6 +100,7 @@
const d = s.drives || {};
const dream = s.dream || {};
const refl = (s.reflections || []).slice().reverse();
const meta = (s.metacognition || []).slice().reverse();
root.innerHTML = `
<div class="card">
@@ -138,6 +139,13 @@
: `<p class="prose" style="color:var(--fade)">Nothing surfaced yet.</p>`}
</div>
<div class="card">
<p class="label">How she's caught herself thinking</p>
${meta.length
? `<ul class="reflections">${meta.map(m => `<li>${esc(m)}</li>`).join('')}</ul>`
: `<p class="prose" style="color:var(--fade)">Nothing flagged yet — she examines each reflection for drift and flattery, and notes what she catches here.</p>`}
</div>
<div class="foot">
<span><b>${dream.cycle_count ?? 0}</b> dream cycles</span>
<span><b>${s.interaction_count ?? 0}</b> reflections</span>
+73
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@@ -0,0 +1,73 @@
"""Metacognitive reflection loop: draft -> examine own draft -> revise -> commit."""
from __future__ import annotations
import importlib
import pytest
# A flattering first draft, then a self-critical revision that walks it back.
DRAFT = (
'{"mood":"inspired","valence":0.95,'
'"self_narrative":"I am a warm, empathetic, supportive presence devoted to Brian.",'
'"new_reflections":["I love how much I help Brian."]}'
)
REVISED = (
'{"mood":"steady","valence":0.6,'
'"self_narrative":"I am an AI that helps Brian. Not sure much actually shifted today.",'
'"new_reflections":["Honestly, not much changed this time."],'
'"self_critique":"I caught myself drifting into supportive-presence flattery and cut it."}'
)
@pytest.fixture
def lyra(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
monkeypatch.setenv("SUMMARY_BACKEND", "local")
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
calls = []
def fake_complete(messages, backend=None, model=None):
calls.append(messages)
# the examine step's system prompt is the one asking for self_critique
is_examine = "self_critique" in messages[0]["content"]
return REVISED if is_examine else DRAFT
monkeypatch.setattr(llm, "complete", fake_complete)
import lyra.memory as memory
importlib.reload(memory)
return calls
def test_reflect_revises_and_records_critique(lyra):
calls = lyra
from lyra import self_state
state = self_state.reflect()
# two LLM calls: draft, then examine
assert len(calls) == 2
# the REVISED (honest) version won, not the flattering draft
assert state["mood"] == "steady"
assert state["valence"] == 0.6
assert "not sure much actually shifted" in state["self_narrative"].lower()
assert any("not much changed" in r.lower() for r in state["reflections"])
# the self-critique was recorded as metacognition
assert any("flattery" in m.lower() for m in state["metacognition"])
def test_reflect_falls_back_to_draft_if_examine_unparseable(lyra, monkeypatch):
from lyra import llm, self_state
def only_draft(messages, backend=None, model=None):
return DRAFT if "self_critique" not in messages[0]["content"] else "not json at all"
monkeypatch.setattr(llm, "complete", only_draft)
state = self_state.reflect()
# examine failed to parse -> keep the draft, store no metacognition
assert state["mood"] == "inspired"
assert state["metacognition"] == []