feat(openai): add src/openai_schemas.py + refactor openai_compatible.py (t2_1-t2_7)
Phase 2 of any_type_componentization_20260621. Promotes NormalizedResponse
+ OpenAICompatibleRequest from src/openai_compatible.py to typed
dataclasses. The 17 Any sites become 5 dataclasses:
NEW src/openai_schemas.py (138 lines):
- ToolCallFunction dataclass (name, arguments)
- ToolCall dataclass (id, function: ToolCallFunction, type='function')
- ChatMessage dataclass (role, content, tool_calls, tool_call_id, name)
- UsageStats dataclass (input_tokens, output_tokens, cache_read_*, cache_creation_*)
- NormalizedResponse dataclass (text, tool_calls: tuple, usage, raw_response: Any)
- OpenAICompatibleRequest dataclass (messages: list[ChatMessage], model, ...)
NEW tests/test_openai_schemas.py (19 tests, all pass):
- ToolCallFunction, ToolCall, ChatMessage round-trips
- UsageStats field access + frozen=True semantics
- NormalizedResponse.to_legacy_dict preserves shape
- raw_response stays Any (Pattern 3 preserved)
- tools field stays list[dict[str, Any]] for Phase 1 ToolSpec follow-up
MODIFIED src/openai_compatible.py:
- Removed inline NormalizedResponse + OpenAICompatibleRequest definitions
- Re-imported from src.openai_schemas
- _send_blocking: tool_calls -> tuple[ToolCall, ...]; usage_*_tokens -> UsageStats
- _send_streaming: same migration
- send_openai_compatible: messages_dicts = [m.to_dict() for m in request.messages]
- Exception handler: empty NormalizedResponse uses UsageStats
- All NormalizedResponse consumers still work (legacy dict shape preserved)
Verified:
uv run pytest tests/test_openai_schemas.py tests/test_mcp_tool_specs.py tests/test_audit_dataclass_coverage.py tests/test_type_aliases.py tests/test_mcp_client_beads.py tests/test_mcp_client_paths.py tests/test_arch_boundary_phase2.py --timeout=60
64 passed in 6.28s
ed
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