Files
interactive-story/backend/app/schemas.py
T
parththakkar106andClaude Opus 5 d66fd1d6a2 Add a reasoning-off setting (-1 reasoning budget)
Models like DeepSeek V4 Flash reason by default, and the reasoning budget
setting could only ever add thinking tokens - there was no value that turned
thinking off. A negative budget now sends `reasoning: {effort: "none"}`.

Uses effort:none rather than exclude:true deliberately - exclude still thinks
and still bills, it only hides the trace.

Zero keeps its old meaning (send no `reasoning` field at all) so endpoints that
reject unknown fields, like the default Ollama one, are unaffected. Reusing the
existing int column this way avoids a migration.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UeQVy5bEjLhfgWNc27Efet
2026-08-02 11:10:35 +05:30

387 lines
11 KiB
Python

from datetime import datetime
from typing import Annotated, Literal
from pydantic import BaseModel, ConfigDict, Field, computed_field
from . import images
# Length caps (Phase 9). The VARCHAR ones are correctness, not just abuse
# limits: Postgres enforces column lengths (SQLite never did), so anything
# longer must be a 422 here rather than a 500 at INSERT. Text-column caps are
# generous abuse ceilings a legitimate player won't hit.
NAME_MAX = 200 # titles/names — VARCHAR(200)
TAGS_MAX = 500 # VARCHAR(500)
CARD_TYPE_MAX = 100 # VARCHAR(100)
PROSE_MAX = 50_000 # memory, author's note, prompts, entries, notes...
SCRIPT_MAX = 200_000 # one JS source
ACTION_MAX = 20_000 # one player action
MEMORY_TEXT_MAX = 5_000
# A scenario cover image, stored inline as a base64 data URI. 400x300 WebP at
# the quality the editor encodes lands around 20-40 KB; 400 KB leaves room for
# a client that downscales less aggressively without letting anyone park a
# multi-megabyte PNG in a row that gets read on every list request.
IMAGE_MAX = 400_000
ICON_MAX = 16 # one emoji/glyph — VARCHAR(16)
Name = Annotated[str, Field(max_length=NAME_MAX)]
Tags = Annotated[str, Field(max_length=TAGS_MAX)]
CardType = Annotated[str, Field(max_length=CARD_TYPE_MAX)]
Prose = Annotated[str, Field(max_length=PROSE_MAX)]
ScriptSource = Annotated[str, Field(max_length=SCRIPT_MAX)]
ActionText = Annotated[str, Field(max_length=ACTION_MAX)]
Image = Annotated[str, Field(max_length=IMAGE_MAX)]
Icon = Annotated[str, Field(max_length=ICON_MAX)]
class ORMModel(BaseModel):
model_config = ConfigDict(from_attributes=True)
# ---------- Story cards ----------
class StoryCardBase(BaseModel):
type: CardType = ""
name: Name = ""
keys: Prose = ""
entry: Prose = ""
notes: Prose = ""
class StoryCardCreate(StoryCardBase):
scenario_id: int | None = None
adventure_id: int | None = None
class StoryCardUpdate(BaseModel):
type: CardType | None = None
name: Name | None = None
keys: Prose | None = None
entry: Prose | None = None
notes: Prose | None = None
class StoryCardOut(ORMModel, StoryCardBase):
id: int
scenario_id: int | None
adventure_id: int | None
# ---------- Scenarios ----------
class ScenarioBase(BaseModel):
title: Name = "Untitled Scenario"
description: Prose = ""
prompt: Prose = ""
memory: Prose = ""
authors_note: Prose = ""
ai_instructions: Prose = ""
tags: Tags = ""
# Cover art — an https URL or a base64 data URI. See app/images.py.
image: Image = ""
# Emoji/glyph shown when `image` is empty.
icon: Icon = ""
# Phase 12: RPG world-state template (stat defs, bands, rules, milestones).
# None means no RPG layer.
stat_schema: dict | None = None
class ScenarioCreate(ScenarioBase):
pass
class ScenarioUpdate(BaseModel):
title: Name | None = None
description: Prose | None = None
prompt: Prose | None = None
memory: Prose | None = None
authors_note: Prose | None = None
ai_instructions: Prose | None = None
tags: Tags | None = None
image: Image | None = None
icon: Icon | None = None
stat_schema: dict | None = None
script_ids: list[int] | None = None
class ScenarioOut(ORMModel, ScenarioBase):
id: int
is_public: bool = False # shared demo content — read-only for everyone
created_at: datetime
updated_at: datetime
story_cards: list[StoryCardOut] = []
scripts: list["ScriptOut"] = []
class ScenarioListItem(ORMModel):
id: int
title: str
description: str
tags: str
is_public: bool = False
updated_at: datetime
# Read off the row so `image_url` can be derived, but excluded from the
# response: a list of base64 data URIs would be megabytes of JSON.
image: str = Field("", exclude=True)
icon: str = ""
@computed_field
@property
def image_url(self) -> str:
return images.public_url(self.id, self.image, self.updated_at)
# ---------- Adventures ----------
class AdventureCreate(BaseModel):
scenario_id: int | None = None
title: Name | None = None
# ${Placeholder} values collected from the player at start (AI Dungeon behavior).
placeholders: dict[str, str] = {}
class AdventureUpdate(BaseModel):
title: Name | None = None
memory: Prose | None = None
authors_note: Prose | None = None
ai_instructions: Prose | None = None
story_summary: Prose | None = None
auto_summarize: bool | None = None
memory_bank_enabled: bool | None = None
class AdventureRefresh(BaseModel):
"""Body for "Update from scenario". `placeholders` supplies answers the
adventure has no stored value for (see AdventureCreate.placeholders); they
are merged over the stored ones and saved."""
placeholders: dict[str, str] = {}
class RefreshPlan(BaseModel):
"""What a refresh would change — drives the confirm dialog."""
scenario_id: int
scenario_title: str
has_changes: bool
# field name -> {"old": ..., "new": ...}, only for fields that differ.
fields: dict[str, dict] = {}
# {"added"|"updated"|"removed": [card name, ...]}
cards: dict[str, list[str]] = {}
# {"added"|"removed": [stat path, ...]} — live values are otherwise kept.
world_state: dict[str, list[str]] = {}
# ${Placeholder} names the scenario asks for that the adventure has no
# stored answer to; the client must collect these and send them back.
placeholders_needed: list[str] = []
class ActionOut(ORMModel):
id: int
adventure_id: int
index: int
type: str
text: str
reasoning: str | None = None
# Phase 12: compact RPG state changes for this turn (from the model property).
world_changes: list[dict] = []
created_at: datetime
class ActionUpdate(BaseModel):
text: ActionText
class ActionCreate(BaseModel):
type: Literal["do", "say", "story", "continue"]
text: ActionText = ""
class AdventureOut(ORMModel):
id: int
scenario_id: int | None
title: str
memory: str
authors_note: str
ai_instructions: str
story_summary: str
auto_summarize: bool
memory_bank_enabled: bool
created_at: datetime
updated_at: datetime
story_cards: list[StoryCardOut] = []
actions: list[ActionOut] = []
# ---------- Memory bank (Phase 6) ----------
class MemoryOut(ORMModel):
id: int
adventure_id: int
text: str
pinned: bool
forgotten: bool
embedded: bool # model property: embedding vector present
use_count: int
last_used_at: datetime | None
source_start: int | None
source_end: int | None
created_at: datetime
class MemoryCreate(BaseModel):
text: Annotated[str, Field(max_length=MEMORY_TEXT_MAX)]
class MemoryUpdate(BaseModel):
text: Annotated[str, Field(max_length=MEMORY_TEXT_MAX)] | None = None
pinned: bool | None = None
forgotten: bool | None = None
class AdventureListItem(ORMModel):
id: int
scenario_id: int | None
scenario_title: str | None = None
title: str
updated_at: datetime
action_count: int = 0
# "Where you left off" — the tail of the most recent narrative beat, so a
# Continue card can show the story instead of just a turn count.
snippet: str = ""
# Cover art inherited from the parent scenario (see app/images.py).
image_url: str = ""
icon: str = ""
# ---------- Scripts ----------
class ScriptBase(BaseModel):
name: Name = "Untitled Script"
description: Prose = ""
library_js: ScriptSource = ""
input_js: ScriptSource = ""
context_js: ScriptSource = ""
output_js: ScriptSource = ""
class ScriptCreate(ScriptBase):
pass
class ScriptUpdate(BaseModel):
name: Name | None = None
description: Prose | None = None
library_js: ScriptSource | None = None
input_js: ScriptSource | None = None
context_js: ScriptSource | None = None
output_js: ScriptSource | None = None
class ScriptOut(ORMModel, ScriptBase):
id: int
created_at: datetime
updated_at: datetime
class ScriptTestRequest(BaseModel):
hook: Literal["input", "context", "output"]
text: Prose = ""
state: dict = {}
class AdventureScriptOut(ORMModel):
id: int
adventure_id: int
position: int
enabled: bool
name: str
description: str
library_js: str
input_js: str
context_js: str
output_js: str
# Set by the router (not stored): True when a syncable library version
# exists whose code differs from this copy; None when nothing to sync.
out_of_date: bool | None = None
class AdventureScriptUpdate(BaseModel):
enabled: bool | None = None
library_js: ScriptSource | None = None
input_js: ScriptSource | None = None
context_js: ScriptSource | None = None
output_js: ScriptSource | None = None
# ---------- Auth (Phase 8) ----------
class AuthCredentials(BaseModel):
email: Annotated[str, Field(max_length=320)] # VARCHAR(320)
# Upper bound keeps scrypt cost flat — hashing megabyte "passwords" is CPU
# an attacker would otherwise get for free.
password: Annotated[str, Field(max_length=128)]
# ---------- Settings ----------
class SettingsOut(ORMModel):
endpoint_url: str
# The key itself is never echoed back (encrypted at rest, write-only).
has_api_key: bool
model: str
api_mode: str
temperature: float
max_output_tokens: int
reasoning_max_tokens: int
context_token_budget: int
narrator_prompt: str
stream: bool
summary_model: str
embedding_model: str
memory_bank_capacity: int
memory_top_k: int
ScenarioOut.model_rebuild()
# ---------- AI Chat (power users) ----------
# A scratchpad for talking to a model directly, with no story framing. Nothing
# is persisted server-side, so these caps are purely per-request abuse limits.
CHAT_MESSAGE_MAX = 100_000 # one message
CHAT_TOTAL_MAX = 400_000 # whole conversation sent up per request
CHAT_MESSAGES_MAX = 200 # turns per request
class ChatMessage(BaseModel):
role: Literal["system", "user", "assistant"]
content: Annotated[str, Field(max_length=CHAT_MESSAGE_MAX)]
class ChatRequest(BaseModel):
messages: Annotated[list[ChatMessage], Field(min_length=1, max_length=CHAT_MESSAGES_MAX)]
# Empty/omitted = fall back to the user's configured model.
model: Name | None = None
temperature: Annotated[float, Field(ge=0, le=5)] | None = None
max_tokens: Annotated[int, Field(ge=1, le=100_000)] | None = None
class SettingsUpdate(BaseModel):
endpoint_url: Annotated[str, Field(max_length=500)] | None = None # VARCHAR(500)
# Encryption expands the stored value ~4/3 into the same VARCHAR(500):
# 256 plaintext chars is the largest safe input ("enc:" + Fernet + base64).
api_key: Annotated[str, Field(max_length=256)] | None = None
model: Name | None = None
api_mode: Annotated[str, Field(max_length=20)] | None = None
temperature: Annotated[float, Field(ge=0, le=5)] | None = None
max_output_tokens: Annotated[int, Field(ge=1, le=100_000)] | None = None
# -1 = explicitly off (sends `reasoning: {effort: none}`); 0 = send nothing.
reasoning_max_tokens: Annotated[int, Field(ge=-1, le=100_000)] | None = None
context_token_budget: Annotated[int, Field(ge=256, le=200_000)] | None = None
narrator_prompt: Prose | None = None
stream: bool | None = None
summary_model: Name | None = None
embedding_model: Name | None = None
memory_bank_capacity: Annotated[int, Field(ge=1, le=1000)] | None = None
memory_top_k: Annotated[int, Field(ge=1, le=50)] | None = None