Revert "merge: tier2/phase2_4_5_call_site_completion_20260621 (parent + follow-up + Phase 6e analysis)"

This reverts commit f914b2bcd4, reversing
changes made to 7fef95cc87.

src/openai_schemas.py

@@ -1,105 +0,0 @@
-"""OpenAI-compatible dataclasses for the Manual Slop ai_client layer.
-
-Promotes `NormalizedResponse` and `OpenAICompatibleRequest` from
-`src/openai_compatible.py` to typed dataclasses. The 4 dataclasses
-here model the OpenAI Chat Completion API shape:
-
-- ToolCall: a single tool call from the model
-- ToolCallFunction: the function portion of a tool call (name + JSON args)
-- ChatMessage: a single message in the conversation (system/user/assistant/tool)
-- UsageStats: token usage accounting (input, output, cache hits/creation)
-
-`NormalizedResponse` and `OpenAICompatibleRequest` keep their public
-shapes but consume these typed shapes internally.
-
-CONVENTION: 1-space indentation. NO COMMENTS.
-"""
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import Any, Callable, Optional
-
-
-@dataclass(frozen=True)
-class ToolCallFunction:
- name: str
- arguments: str
-
-
-@dataclass(frozen=True)
-class ToolCall:
- id: str
- function: ToolCallFunction
- type: str = "function"
-
- def to_dict(self) -> dict[str, Any]:
-  return {
-   "id": self.id,
-   "type": self.type,
-   "function": {
-    "name": self.function.name,
-    "arguments": self.function.arguments,
-   },
-  }
-
-
-@dataclass(frozen=True)
-class ChatMessage:
- role: str
- content: str
- tool_calls: Optional[tuple[ToolCall, ...]] = None
- tool_call_id: Optional[str] = None
- name: Optional[str] = None
-
- def to_dict(self) -> dict[str, Any]:
-  d: dict[str, Any] = {"role": self.role, "content": self.content}
-  if self.tool_calls is not None:
-   d["tool_calls"] = [tc.to_dict() for tc in self.tool_calls]
-  if self.tool_call_id is not None:
-   d["tool_call_id"] = self.tool_call_id
-  if self.name is not None:
-   d["name"] = self.name
-  return d
-
-
-@dataclass(frozen=True)
-class UsageStats:
- input_tokens: int
- output_tokens: int
- cache_read_tokens: int = 0
- cache_creation_tokens: int = 0
-
-
-@dataclass(frozen=True)
-class NormalizedResponse:
- text: str
- tool_calls: tuple[ToolCall, ...]
- usage: UsageStats
- raw_response: Any
-
- def to_legacy_dict(self) -> dict[str, Any]:
-  return {
-   "text": self.text,
-   "tool_calls": [tc.to_dict() for tc in self.tool_calls],
-   "usage": {
-    "input_tokens": self.usage.input_tokens,
-    "output_tokens": self.usage.output_tokens,
-    "cache_read_tokens": self.usage.cache_read_tokens,
-    "cache_creation_tokens": self.usage.cache_creation_tokens,
-   },
-   "raw_response": self.raw_response,
-  }
-
-
-@dataclass
-class OpenAICompatibleRequest:
- messages: list[ChatMessage]
- model: str
- temperature: float = 0.0
- top_p: float = 1.0
- max_tokens: int = 8192
- tools: Optional[list[dict[str, Any]]] = None
- tool_choice: str = "auto"
- stream: bool = False
- stream_callback: Optional[Callable[[str], None]] = None
- extra_body: Optional[dict[str, Any]] = None