Files
langgenius-openai_api_compa…/models/common_openai.py
2025-09-23 20:24:15 +08:00

61 lines
2.0 KiB
Python

from collections.abc import Mapping
import openai
from httpx import Timeout
from dify_plugin.errors.model import (
InvokeAuthorizationError,
InvokeBadRequestError,
InvokeConnectionError,
InvokeError,
InvokeRateLimitError,
InvokeServerUnavailableError,
)
class _CommonOpenAI:
def _to_credential_kwargs(self, credentials: Mapping) -> dict:
"""
Transform credentials to kwargs for model instance
:param credentials:
:return:
"""
credentials_kwargs = {
"api_key": credentials["openai_api_key"],
"timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
"max_retries": 1,
}
if credentials.get("openai_api_base"):
openai_api_base = credentials["openai_api_base"].rstrip("/")
credentials_kwargs["base_url"] = openai_api_base + "/v1"
if "openai_organization" in credentials:
credentials_kwargs["organization"] = credentials["openai_organization"]
return credentials_kwargs
@property
def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
"""
Map model invoke error to unified error
The key is the error type thrown to the caller
The value is the error type thrown by the model,
which needs to be converted into a unified error type for the caller.
:return: Invoke error mapping
"""
return {
InvokeConnectionError: [openai.APIConnectionError, openai.APITimeoutError],
InvokeServerUnavailableError: [openai.InternalServerError],
InvokeRateLimitError: [openai.RateLimitError],
InvokeAuthorizationError: [openai.AuthenticationError, openai.PermissionDeniedError],
InvokeBadRequestError: [
openai.BadRequestError,
openai.NotFoundError,
openai.UnprocessableEntityError,
openai.APIError,
],
}