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LiteLLM Minor Fixes and Improvements (08/06/2024) (#5567)

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* fix(utils.py): return citations for perplexity streaming

Fixes https://github.com/BerriAI/litellm/issues/5535

* fix(anthropic/chat.py): support fallbacks for anthropic streaming (#5542)

* fix(anthropic/chat.py): support fallbacks for anthropic streaming

Fixes https://github.com/BerriAI/litellm/issues/5512

* fix(anthropic/chat.py): use module level http client if none given (prevents early client closure)

* fix: fix linting errors

* fix(http_handler.py): fix raise_for_status error handling

* test: retry flaky test

* fix otel type

* fix(bedrock/embed): fix error raising

* test(test_openai_batches_and_files.py): skip azure batches test (for now) quota exceeded

* fix(test_router.py): skip azure batch route test (for now) - hit batch quota limits

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>

* All `model_group_alias` should show up in `/models`, `/model/info` , `/model_group/info` (#5539)

* fix(router.py): support returning model_alias model names in `/v1/models`

* fix(proxy_server.py): support returning model alias'es on `/model/info`

* feat(router.py): support returning model group alias for `/model_group/info`

* fix(proxy_server.py): fix linting errors

* fix(proxy_server.py): fix linting errors

* build(model_prices_and_context_window.json): add amazon titan text premier pricing information

Closes https://github.com/BerriAI/litellm/issues/5560

* feat(litellm_logging.py): log standard logging response object for pass through endpoints. Allows bedrock /invoke agent calls to be correctly logged to langfuse + s3

* fix(success_handler.py): fix linting error

* fix(success_handler.py): fix linting errors

* fix(team_endpoints.py): Allows admin to update team member budgets

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
This commit is contained in:
Krish Dholakia 2024-09-06 17:16:24 -07:00 • committed by GitHub
parent e4dcd6f745
commit 72e961af3c
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25 changed files with 509 additions and 99 deletions
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18
litellm/litellm_core_utils/litellm_logging.py
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@ -41,6 +41,7 @@ from litellm.types.utils import (
StandardLoggingMetadata,
StandardLoggingModelInformation,
StandardLoggingPayload,
StandardPassThroughResponseObject,
TextCompletionResponse,
TranscriptionResponse,
)
@ -534,7 +535,9 @@ class Logging:
"""
## RESPONSE COST ##
custom_pricing = use_custom_pricing_for_model(
litellm_params=self.litellm_params
litellm_params=(
self.litellm_params if hasattr(self, "litellm_params") else None
)
)
if cache_hit is None:
@ -611,6 +614,17 @@ class Logging:
] = result._hidden_params
## STANDARDIZED LOGGING PAYLOAD
self.model_call_details["standard_logging_object"] = (
get_standard_logging_object_payload(
kwargs=self.model_call_details,
init_response_obj=result,
start_time=start_time,
end_time=end_time,
logging_obj=self,
)
)
elif isinstance(result, dict): # pass-through endpoints
## STANDARDIZED LOGGING PAYLOAD
self.model_call_details["standard_logging_object"] = (
get_standard_logging_object_payload(
kwargs=self.model_call_details,
@ -2271,6 +2285,8 @@ def get_standard_logging_object_payload(
elif isinstance(init_response_obj, BaseModel):
response_obj = init_response_obj.model_dump()
hidden_params = getattr(init_response_obj, "_hidden_params", None)
elif isinstance(init_response_obj, dict):
response_obj = init_response_obj
else:
response_obj = {}
# standardize this function to be used across, s3, dynamoDB, langfuse logging