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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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7
litellm/utils.py
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@ -9845,6 +9845,9 @@ class CustomStreamWrapper:
model_response.system_fingerprint = (
original_chunk.system_fingerprint
)
model_response.citations = getattr(
original_chunk, "citations", None
)
print_verbose(f"self.sent_first_chunk: {self.sent_first_chunk}")
if self.sent_first_chunk is False:
model_response.choices[0].delta["role"] = "assistant"
@ -10460,6 +10463,8 @@ class TextCompletionStreamWrapper:
def mock_completion_streaming_obj(
model_response, mock_response, model, n: Optional[int] = None
):
if isinstance(mock_response, litellm.MockException):
raise mock_response
for i in range(0, len(mock_response), 3):
completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
if n is None:
@ -10481,6 +10486,8 @@ def mock_completion_streaming_obj(
async def async_mock_completion_streaming_obj(
model_response, mock_response, model, n: Optional[int] = None
):
if isinstance(mock_response, litellm.MockException):
raise mock_response
for i in range(0, len(mock_response), 3):
completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
if n is None: