refactor(ai_client): remove ProviderError class; ErrorInfo is the new error type

src/openai_compatible.py

@@ -4,7 +4,7 @@ from typing import Any, Callable, Optional
 
 from openai import OpenAIError, RateLimitError, AuthenticationError, PermissionDeniedError, APIConnectionError, APIStatusError, BadRequestError
 
-from src.result_types import ErrorInfo, ErrorKind
+from src.result_types import ErrorInfo, ErrorKind, Result
 
 @dataclass(frozen=True)
 class NormalizedResponse:
@@ -64,7 +64,7 @@ def send_openai_compatible(
  request: OpenAICompatibleRequest,
  *,
  capabilities: Any,
-) -> NormalizedResponse:
+) -> Result[str]:
  kwargs: dict[str, Any] = {
   "model": request.model,
   "messages": request.messages,
@@ -80,10 +80,12 @@ def send_openai_compatible(
   kwargs["extra_body"] = request.extra_body
  try:
   if request.stream:
-   return _send_streaming(client, kwargs, request.stream_callback)
-  return _send_blocking(client, kwargs)
+   response = _send_streaming(client, kwargs, request.stream_callback)
+  else:
+   response = _send_blocking(client, kwargs)
+  return Result(data=response.text)
  except OpenAIError as exc:
-  raise _classify_openai_compatible_error(exc) from exc
+  return Result(data="", errors=[_classify_openai_compatible_error(exc, source="openai_compatible")])
 
 def _send_blocking(client: Any, kwargs: dict[str, Any]) -> NormalizedResponse:
  resp = client.chat.completions.create(**kwargs)