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refactor(openai/azure.py): move to returning openai/azure response headers by default

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Allows token tracking to work more reliably across multiple azure/openai deployments
This commit is contained in:
Krrish Dholakia
2024-08-02 09:42:08 -07:00
parent cd073d5ad3
commit fe2aa706e8
2 changed files with 13 additions and 27 deletions
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litellm/llms/azure.py
+6 -14
View File
@@ -474,21 +474,13 @@ class AzureChatCompletion(BaseLLM):
- call chat.completions.create by default
"""
try:
if litellm.return_response_headers is True:
raw_response = (
await azure_client.chat.completions.with_raw_response.create(
**data, timeout=timeout
)
)
raw_response = await azure_client.chat.completions.with_raw_response.create(
**data, timeout=timeout
)
headers = dict(raw_response.headers)
response = raw_response.parse()
return headers, response
else:
response = await azure_client.chat.completions.create(
**data, timeout=timeout
)
return None, response
headers = dict(raw_response.headers)
response = raw_response.parse()
return headers, response
except Exception as e:
raise e
litellm/llms/openai.py
+7 -13
View File
@@ -768,21 +768,15 @@ class OpenAIChatCompletion(BaseLLM):
- call chat.completions.create by default
"""
try:
if litellm.return_response_headers is True:
raw_response = (
await openai_aclient.chat.completions.with_raw_response.create(
**data, timeout=timeout
)
)
headers = dict(raw_response.headers)
response = raw_response.parse()
return headers, response
else:
response = await openai_aclient.chat.completions.create(
raw_response = (
await openai_aclient.chat.completions.with_raw_response.create(
**data, timeout=timeout
)
return None, response
)
headers = dict(raw_response.headers)
response = raw_response.parse()
return headers, response
except Exception as e:
raise e