mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-06 02:48:13 +00:00
fix(utils.py): raise correct error for azure content blocked error
This commit is contained in:
parent
b8de5636d4
commit
3080f27b54
3 changed files with 13 additions and 3 deletions
|
|
@ -531,7 +531,7 @@ from .llms.bedrock import (
|
|||
AmazonLlamaConfig,
|
||||
)
|
||||
from .llms.openai import OpenAIConfig, OpenAITextCompletionConfig
|
||||
from .llms.azure import AzureOpenAIConfig
|
||||
from .llms.azure import AzureOpenAIConfig, AzureOpenAIError
|
||||
from .main import * # type: ignore
|
||||
from .integrations import *
|
||||
from .exceptions import (
|
||||
|
|
|
|||
|
|
@ -93,7 +93,7 @@ def test_stream_chunk_builder_litellm_function_call():
|
|||
|
||||
def test_stream_chunk_builder_litellm_tool_call():
|
||||
try:
|
||||
litellm.set_verbose = False
|
||||
litellm.set_verbose = True
|
||||
response = litellm.completion(
|
||||
model="azure/gpt-4-nov-release",
|
||||
messages=messages,
|
||||
|
|
@ -101,6 +101,7 @@ def test_stream_chunk_builder_litellm_tool_call():
|
|||
stream=True,
|
||||
api_key="os.environ/AZURE_FRANCE_API_KEY",
|
||||
api_base="https://openai-france-1234.openai.azure.com",
|
||||
api_version="2023-12-01-preview",
|
||||
complete_response=True,
|
||||
)
|
||||
|
||||
|
|
|
|||
|
|
@ -7147,6 +7147,16 @@ class CustomStreamWrapper:
|
|||
else:
|
||||
logprobs = None
|
||||
|
||||
if (
|
||||
hasattr(str_line.choices[0], "content_filter_result")
|
||||
and str_line.choices[0].content_filter_result is not None
|
||||
):
|
||||
error_message = json.dumps(
|
||||
str_line.choices[0].content_filter_result
|
||||
)
|
||||
raise litellm.AzureOpenAIError(
|
||||
status_code=400, message=error_message
|
||||
)
|
||||
return {
|
||||
"text": text,
|
||||
"is_finished": is_finished,
|
||||
|
|
@ -7695,7 +7705,6 @@ class CustomStreamWrapper:
|
|||
chunk = self.completion_stream
|
||||
else:
|
||||
chunk = next(self.completion_stream)
|
||||
print_verbose(f"value of chunk: {chunk} ")
|
||||
if chunk is not None and chunk != b"":
|
||||
print_verbose(f"PROCESSED CHUNK PRE CHUNK CREATOR: {chunk}")
|
||||
response = self.chunk_creator(chunk=chunk)
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue