refactor(schemas): remove NormalizedResponse backward-compat __init__; use canonical API

src/openai_schemas.py

@@ -16,7 +16,7 @@ CONVENTION: 1-space indentation. NO COMMENTS.
 """
 from __future__ import annotations
 
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from typing import Any, Callable, Optional
 
 from src.type_aliases import JsonValue
@@ -72,35 +72,12 @@ class UsageStats:
  cache_creation_tokens: int = 0
 
 
-@dataclass(frozen=True, init=False)
+@dataclass(frozen=True)
 class NormalizedResponse:
  text: str
- tool_calls: tuple[ToolCall, ...]
- usage: UsageStats
- raw_response: Any
-
- def __init__(
-  self,
-  text: str,
-  tool_calls: tuple[ToolCall, ...] = (),
-  usage: UsageStats | None = None,
-  raw_response: Any = None,
-  usage_input_tokens: int | None = None,
-  usage_output_tokens: int | None = None,
-  usage_cache_read_tokens: int | None = None,
-  usage_cache_creation_tokens: int | None = None,
- ) -> None:
-  if usage is None:
-   usage = UsageStats(
-    input_tokens=usage_input_tokens if usage_input_tokens is not None else 0,
-    output_tokens=usage_output_tokens if usage_output_tokens is not None else 0,
-    cache_read_tokens=usage_cache_read_tokens if usage_cache_read_tokens is not None else 0,
-    cache_creation_tokens=usage_cache_creation_tokens if usage_cache_creation_tokens is not None else 0,
-   )
-  object.__setattr__(self, "text", text)
-  object.__setattr__(self, "tool_calls", tool_calls)
-  object.__setattr__(self, "usage", usage)
-  object.__setattr__(self, "raw_response", raw_response)
+ tool_calls: tuple[ToolCall, ...] = ()
+ usage: UsageStats = field(default_factory=lambda: UsageStats(input_tokens=0, output_tokens=0))
+ raw_response: Any = None
 
  def to_legacy_dict(self) -> JsonValue:
   return {