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Fix: Asure-OpenAI resource not found (#11934)

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### What problem does this PR solve?

Asure-OpenAI resource not found. #11750


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
This commit is contained in:
Yongteng Lei
2025-12-13 11:32:46 +08:00
committed by GitHub
parent 44dec89f1f
commit 6be0338aa0
2 changed files with 17 additions and 23 deletions
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37
rag/llm/chat_model.py
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@ -28,7 +28,6 @@ import json_repair
import litellm
import openai
from openai import AsyncOpenAI, OpenAI
from openai.lib.azure import AzureOpenAI, AsyncAzureOpenAI
from strenum import StrEnum
from common.token_utils import num_tokens_from_string, total_token_count_from_response
@ -191,7 +190,7 @@ class Base(ABC):
except Exception as e:
e = await self._exceptions_async(e, attempt)
if e:
yield e
yield e
yield total_tokens
return
@ -517,26 +516,6 @@ class ModelScopeChat(Base):
super().__init__(key, model_name.split("___")[0], base_url, **kwargs)
class AzureChat(Base):
_FACTORY_NAME = "Azure-OpenAI"
def __init__(self, key, model_name, base_url, **kwargs):
api_key = json.loads(key).get("api_key", "")
api_version = json.loads(key).get("api_version", "2024-02-01")
super().__init__(key, model_name, base_url, **kwargs)
self.client = AzureOpenAI(api_key=api_key, azure_endpoint=base_url, api_version=api_version)
self.async_client = AsyncAzureOpenAI(api_key=key, base_url=base_url, api_version=api_version)
self.model_name = model_name
@property
def _retryable_errors(self) -> set[str]:
return {
LLMErrorCode.ERROR_RATE_LIMIT,
LLMErrorCode.ERROR_SERVER,
LLMErrorCode.ERROR_QUOTA,
}
class BaiChuanChat(Base):
_FACTORY_NAME = "BaiChuan"
@ -1219,6 +1198,7 @@ class LiteLLMBase(ABC):
"DeerAPI",
"GPUStack",
"OpenAI",
"Azure-OpenAI",
]
def __init__(self, key, model_name, base_url=None, **kwargs):
@ -1244,6 +1224,9 @@ class LiteLLMBase(ABC):
elif self.provider == SupportedLiteLLMProvider.OpenRouter:
self.api_key = json.loads(key).get("api_key", "")
self.provider_order = json.loads(key).get("provider_order", "")
elif self.provider == SupportedLiteLLMProvider.Azure_OpenAI:
self.api_key = json.loads(key).get("api_key", "")
self.api_version = json.loads(key).get("api_version", "2024-02-01")
def _get_delay(self):
return self.base_delay * random.uniform(10, 150)
@ -1675,6 +1658,16 @@ class LiteLLMBase(ABC):
"api_base": self.base_url,
}
)
elif self.provider == SupportedLiteLLMProvider.Azure_OpenAI:
completion_args.pop("api_key", None)
completion_args.pop("api_base", None)
completion_args.update(
{
"api_key": self.api_key,
"api_base": self.base_url,
"api_version": self.api_version,
}
)
# Ollama deployments commonly sit behind a reverse proxy that enforces
# Bearer auth. Ensure the Authorization header is set when an API key