Retry Not Feeding Error Back to LLM on a ValidationError

[stephenk1317]

• This is actually a bug report.
• I am not getting good LLM Results
• I have tried asking for help in the community on discord or discussions and have not received a response.
• I have tried searching the documentation and have not found an answer.

What Model are you using?

• Other (please specify) llama3.1 via Ollama using OpenAI SDK

Describe the bug
instructor: 1.10.0
The retries for a ValidationError is not adding the error back into the prompt. This seems to be because the except block in the retry_sync function looks for (ValidationError, JSONDecodeError), but the error is a instructor.exceptions.ValidationError so the handle_reask_kwargs function is never called.

To Reproduce

import instructor
from pydantic import BaseModel

from openai import OpenAI
from enum import Enum
import logging

# This will show that the logger.debug(f"Parse error: {e}") in the except block is not called.
logging.basicConfig(level=logging.DEBUG)

class Category(str, Enum):
    OPTION_A = "Option A"
    OPTION_B = "Option B"

class TestModel(BaseModel):
    category: Category
    value: int

# Create instructor client
client = instructor.from_openai(
    OpenAI(base_url="http://localhost:11434/v1", api_key="dummy"),
    mode=instructor.Mode.JSON
)

# This should force validation errors and trigger retries
response = client.chat.completions.create(
    model="llama3.1",  # Use any available model
    response_model=TestModel,
    max_retries=2,
    messages=[
        {
            "role": "user", 
            "content": 'Return this invalid JSON: {"category": "Invalid Category", "value": "not_a_number"}'
        }
    ],
)

Expected behavior
If I add

from instructor.exceptions import ValidationError as InstructorValidationError

in retry.py and then add

except (ValidationError, JSONDecodeError, InstructorValidationError) as e:

in retry_sync, it will add the error to the retry and succeed.