Ask the model for a turn that fits inside the output cap

max_output_tokens is a hard wall the endpoint enforces mid-sentence. The
```state block is emitted after the narration, so a long turn hits the wall
partway through the block and the deltas are lost — silently, since nothing
reads finish_reason.

builder.length_hint() derives a word limit from the cap ((cap - 50 headroom)
* 0.75 words/token * 0.90 buffer) and injects it just above EMIT_REMINDER,
which keeps the last slot it needs. Reserved in build_context like the
reminder is.

Phrased as a ceiling, not a budget. Measured against gemma-4-26b at cap 800,
n=5 per arm: no hint 174 words, "keep this turn under about N words" 246,
"hard limit ... a typical turn is much shorter" 170. A budget reads as a
target to fill — every budget run was longer than every unhinted one, pushing
turns toward the wall the hint exists to avoid. Ceiling phrasing still works
at tight caps: at 250, unhinted hit finish_reason=length 2/6, hinted 0/6.

tests/test_length_hint.py, 11 tests; each mechanism verified by sabotage.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UeQVy5bEjLhfgWNc27Efet
This commit is contained in:
parththakkar106
2026-08-08 12:20:26 +05:30
co-authored by Claude Opus 5
parent 23398c4ac0
commit f295893204
2 changed files with 260 additions and 0 deletions
+49
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@@ -24,6 +24,20 @@ CARD_BUDGET_SHARE = 0.4 # max share of non-reserved budget that story cards may
NPC_WINDOW = 6 # actions of story searched for NPC trigger words ("in scene") NPC_WINDOW = 6 # actions of story searched for NPC trigger words ("in scene")
SEPARATOR = "\n\n" SEPARATOR = "\n\n"
# Output-length guidance. max_output_tokens is a hard wall the endpoint enforces
# mid-sentence: hitting it truncates whatever is being written, and since the
# state block is emitted last, it is what gets lost. Asking the model to land
# just inside the wall keeps the cut from happening in the first place.
LENGTH_HEADROOM = 50 # tokens held back from the cap for the state block itself
# Models cannot count their own tokens, but they do follow a word budget, so the
# reserved budget is stated in words. ~0.75 words per token for English prose.
WORDS_PER_TOKEN = 0.75
# A word budget is a suggestion the model routinely overshoots, and the cap it is
# protecting is a hard wall — so aim 10% short of the real ceiling and let the
# overshoot land in the slack instead of in the state block.
LENGTH_BUFFER = 0.90
MIN_LENGTH_HINT_WORDS = 40 # below this the hint is noise; a tiny cap speaks for itself
@functools.lru_cache(maxsize=1) @functools.lru_cache(maxsize=1)
def _encoding() -> tiktoken.Encoding: def _encoding() -> tiktoken.Encoding:
@@ -51,6 +65,34 @@ class Section:
return count_tokens(self.text) return count_tokens(self.text)
def length_hint(max_output_tokens: int, *, has_ws: bool) -> str:
"""Ask for a turn that fits inside the output cap, stated as a word budget.
Returns "" when the cap is too small to phrase usefully — the hint is a
suggestion the model can drift past, so it only earns its tokens when there
is enough room for the drift to still land inside the wall.
"""
words = int((max_output_tokens - LENGTH_HEADROOM) * WORDS_PER_TOKEN * LENGTH_BUFFER)
if words < MIN_LENGTH_HINT_WORDS:
return ""
tail = (
" Finish the narration and append the state block well inside the limit."
if has_ws
else " Bring the turn to a close well inside the limit rather than "
"stopping mid-sentence."
)
# Phrased as a ceiling, never as a budget. Measured against this model, "keep
# this turn under about N words" reads as a target to fill: it moved a 174-word
# average to 246 (n=5, every run longer than every unhinted one), i.e. the hint
# pushed turns toward the very wall it exists to keep them away from. Naming
# the number as a limit, plus saying a typical turn is far shorter, left the
# average at 170 while still rescuing the state block at tight caps.
return (
f"[Hard limit: this turn must not exceed {words} words. Write only as "
f"much as the moment needs — a typical turn is much shorter.{tail}]"
)
def _script_memory(adventure: models.Adventure) -> dict: def _script_memory(adventure: models.Adventure) -> dict:
"""Script-provided memory overrides (populated by Phase 4 scripting).""" """Script-provided memory overrides (populated by Phase 4 scripting)."""
state = adventure.script_state if isinstance(adventure.script_state, dict) else {} state = adventure.script_state if isinstance(adventure.script_state, dict) else {}
@@ -164,10 +206,13 @@ def build_context(
if isinstance(script_mem.get("frontMemory"), str): if isinstance(script_mem.get("frontMemory"), str):
front_memory = script_mem["frontMemory"].strip() front_memory = script_mem["frontMemory"].strip()
length_note = length_hint(settings.max_output_tokens, has_ws=has_ws)
reserved = ( reserved = (
sum(s.tokens for s in system_sections) sum(s.tokens for s in system_sections)
+ count_tokens(authors_note) + count_tokens(authors_note)
+ count_tokens(front_memory) + count_tokens(front_memory)
+ count_tokens(length_note)
+ (count_tokens(worldstate.EMIT_REMINDER) if has_ws else 0) + (count_tokens(worldstate.EMIT_REMINDER) if has_ws else 0)
) )
available = max(256, settings.context_token_budget - reserved) available = max(256, settings.context_token_budget - reserved)
@@ -244,6 +289,10 @@ def build_context(
note_sections.append(Section("history", SEPARATOR.join(texts))) note_sections.append(Section("history", SEPARATOR.join(texts)))
if front_memory: if front_memory:
note_sections.append(Section("front_memory", front_memory)) note_sections.append(Section("front_memory", front_memory))
# Sits just above the emit reminder, which keeps the strongest recency slot:
# the length budget is about the narration, the reminder about the block that
# comes after it, so this is also the order the model has to act in.
note_sections.append(Section("length_hint", length_note))
if has_ws: if has_ws:
# Terminal reminder: the emit rule sits up in the system block, far from # Terminal reminder: the emit rule sits up in the system block, far from
# where the model generates; repeat it last, in the strongest recency slot. # where the model generates; repeat it last, in the strongest recency slot.
+211
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@@ -0,0 +1,211 @@
"""The turn prompt asks for a turn that fits inside `max_output_tokens`.
`max_output_tokens` is a hard wall the endpoint enforces mid-sentence. The state
block is emitted *after* the narration, so a long turn hits the wall partway
through the block and the deltas are lost — silently, since nothing reads
`finish_reason`. The prompt now carries a word budget derived from the cap so
the model lands just inside it.
Two things are easy to break here:
* the hint must be stated in **words**, not tokens — a model cannot count its
own tokens, and a hint it cannot follow is just wasted budget;
* it must not displace `EMIT_REMINDER` from the last position, which is the
whole mechanism keeping the state block emitted at all (see
test_worldstate.py and the emit-reliability fix).
python -m pytest tests/test_length_hint.py -v
"""
import os
import re
import tempfile
_tmp = tempfile.NamedTemporaryFile(suffix=".db", delete=False)
_tmp.close()
os.environ["AIDND_DB_PATH"] = _tmp.name
os.environ.pop("AIDND_DATABASE_URL", None)
os.environ.pop("DATABASE_URL", None)
import pytest
from app import models, worldstate
from app.context import builder
from app.database import Base, SessionLocal, engine
SCHEMA = {
"player": {"hp": {"min": 0, "max": 100, "initial": 100, "desc": "Health"}},
}
@pytest.fixture()
def story():
"""A short adventure, with and without a stat schema on demand."""
Base.metadata.create_all(bind=engine)
db = SessionLocal()
user = models.User(is_guest=False, email="length@example.com")
db.add(user)
db.flush()
settings = models.Settings(user_id=user.id, api_key="enc:dummy", model="m")
db.add(settings)
scenario = models.Scenario(user_id=user.id, title="S", prompt="A road.")
db.add(scenario)
db.flush()
adventure = models.Adventure(
user_id=user.id, title="A", scenario_id=scenario.id, script_state={},
memory="The hero hunts bandits.",
)
db.add(adventure)
db.flush()
for i in range(4):
db.add(models.Action(adventure_id=adventure.id, index=i,
type="ai" if i % 2 else "do", text=f"[{i}] Onward."))
db.commit()
db.expire_all()
adventure = db.get(models.Adventure, adventure.id)
settings = db.get(models.Settings, settings.id)
try:
yield db, adventure, settings, scenario.id
finally:
db.close()
Base.metadata.drop_all(bind=engine)
def with_schema(db, scenario_id, adventure):
scenario = db.get(models.Scenario, scenario_id)
scenario.stat_schema = SCHEMA
adventure.world_state = worldstate.instantiate(SCHEMA)
db.commit()
db.expire_all()
# ----------------------------------------------------- the hint itself
def test_budget_is_the_cap_minus_headroom_and_buffer_in_words():
"""800-token cap → 750 after headroom → ~562 words → 506 after the buffer."""
hint = builder.length_hint(800, has_ws=True)
assert "506" in hint
assert "token" not in hint.lower(), "a model cannot count its own tokens"
def test_budget_tracks_the_setting():
small = builder.length_hint(800, has_ws=True)
large = builder.length_hint(2400, has_ws=True)
assert small != large
assert "1586" in large
def asked_words(cap):
return int(re.search(r"(\d+) words", builder.length_hint(cap, has_ws=True)).group(1))
def test_buffer_leaves_room_for_overshoot():
"""The stated number must sit meaningfully under the real ceiling, or an
on-target-but-slightly-long turn still hits the wall."""
for cap in (400, 800, 1500, 2400):
asked = asked_words(cap)
ceiling = (cap - builder.LENGTH_HEADROOM) * builder.WORDS_PER_TOKEN
assert asked < ceiling
assert asked >= ceiling * 0.85, "buffer so large the hint wastes the cap"
def test_hint_is_phrased_as_a_ceiling_not_a_budget():
"""Measured: budget phrasing ("keep this turn under about N words") reads as a
target to fill and moved the mean turn from 174 to 246 words — toward the wall
it exists to avoid. The limit framing must survive future prompt edits."""
hint = builder.length_hint(800, has_ws=True)
assert "must not exceed" in hint
assert "much shorter" in hint, "without this the number still reads as a target"
assert "under about" not in hint
def test_no_hint_when_the_cap_is_too_small_to_phrase():
"""Under the floor the hint is noise the model pays for in context."""
assert builder.length_hint(100, has_ws=True) == ""
assert builder.length_hint(builder.LENGTH_HEADROOM, has_ws=True) == ""
assert builder.length_hint(0, has_ws=True) == ""
def test_no_negative_word_budget():
"""A cap below the headroom must not ask for a negative number of words."""
for cap in (1, 10, 49, 51):
assert builder.length_hint(cap, has_ws=True) == ""
def test_reason_given_matches_whether_state_is_tracked():
assert "state block" in builder.length_hint(800, has_ws=True)
assert "state block" not in builder.length_hint(800, has_ws=False)
# ----------------------------------------------------- in the assembled prompt
def test_hint_reaches_the_story_prompt(story):
db, adventure, settings, _ = story
settings.max_output_tokens = 800
_, story_text, report = builder.build_context(adventure, settings)
assert "506" in story_text
labels = [s["label"] for s in report["sections"]]
assert "length_hint" in labels
def test_emit_reminder_keeps_the_last_word(story):
"""The hint sits above the emit reminder: the reminder's whole value is the
recency slot, and the model has to write the narration before the block."""
db, adventure, settings, scenario_id = story
with_schema(db, scenario_id, adventure)
settings.max_output_tokens = 800
_, story_text, report = builder.build_context(adventure, settings)
assert story_text.rstrip().endswith(worldstate.EMIT_REMINDER.rstrip())
labels = [s["label"] for s in report["sections"]]
assert labels.index("length_hint") < labels.index("world_state_reminder")
def test_prompt_stays_inside_the_budget_on_a_long_story(story):
"""Regression guard: the hint is appended after history has already spent
the budget, so it must be reserved up front like EMIT_REMINDER is.
Weak on purpose — the history loop stops *before* crossing its budget, so it
leaves about one action of slack and the ~30-token hint hides inside it.
This catches a hint that grows large, not a missing reservation; the
reservation itself is not observable from the outside."""
db, adventure, settings, _ = story
for i in range(4, 120):
db.add(models.Action(
adventure_id=adventure.id, index=i, type="ai" if i % 2 else "do",
text=f"[{i}] " + "The road bends past the burnt mill and the smoke. " * 12,
))
db.commit()
db.expire_all()
adventure = db.get(models.Adventure, adventure.id)
settings.max_output_tokens = 2400
settings.context_token_budget = 2048
_, _, report = builder.build_context(adventure, settings)
assert report["history"]["included"] < 120, "budget was never actually filled"
assert report["tokens"]["total"] <= report["tokens"]["budget"]
def test_hint_is_counted_in_the_reported_totals(story):
"""Insights reports what the turn actually costs; a section that reaches the
model but not the accounting makes that number a lie."""
db, adventure, settings, _ = story
settings.max_output_tokens = 800
_, _, report = builder.build_context(adventure, settings)
hint = next(s for s in report["sections"] if s["label"] == "length_hint")
assert hint["tokens"] > 0
assert hint["text"] in report["prompt"]["story"]
assert builder.count_tokens(report["prompt"]["story"]) <= report["tokens"]["total"]
def test_no_hint_section_when_the_cap_is_tiny(story):
"""An empty hint drops out entirely rather than leaving a blank section."""
db, adventure, settings, _ = story
settings.max_output_tokens = 60
_, story_text, report = builder.build_context(adventure, settings)
assert "length_hint" not in [s["label"] for s in report["sections"]]
assert "Keep this turn" not in story_text