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LiteLLM Minor Fixes & Improvements (09/24/2024) (#5880)

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* LiteLLM Minor Fixes & Improvements (09/23/2024)  (#5842)

* feat(auth_utils.py): enable admin to allow client-side credentials to be passed

Makes it easier for devs to experiment with finetuned fireworks ai models

* feat(router.py): allow setting configurable_clientside_auth_params for a model

Closes https://github.com/BerriAI/litellm/issues/5843

* build(model_prices_and_context_window.json): fix anthropic claude-3-5-sonnet max output token limit

Fixes https://github.com/BerriAI/litellm/issues/5850

* fix(azure_ai/): support content list for azure ai

Fixes https://github.com/BerriAI/litellm/issues/4237

* fix(litellm_logging.py): always set saved_cache_cost

Set to 0 by default

* fix(fireworks_ai/cost_calculator.py): add fireworks ai default pricing

handles calling 405b+ size models

* fix(slack_alerting.py): fix error alerting for failed spend tracking

Fixes regression with slack alerting error monitoring

* fix(vertex_and_google_ai_studio_gemini.py): handle gemini no candidates in streaming chunk error

* docs(bedrock.md): add llama3-1 models

* test: fix tests

* fix(azure_ai/chat): fix transformation for azure ai calls

* feat(azure_ai/embed): Add azure ai embeddings support

Closes https://github.com/BerriAI/litellm/issues/5861

* fix(azure_ai/embed): enable async embedding

* feat(azure_ai/embed): support azure ai multimodal embeddings

* fix(azure_ai/embed): support async multi modal embeddings

* feat(together_ai/embed): support together ai embedding calls

* feat(rerank/main.py): log source documents for rerank endpoints to langfuse

improves rerank endpoint logging

* fix(langfuse.py): support logging `/audio/speech` input to langfuse

* test(test_embedding.py): fix test

* test(test_completion_cost.py): fix helper util
This commit is contained in:
Krish Dholakia 2024-09-25 22:11:57 -07:00 • committed by GitHub
parent 5bc5eaff8a
commit 16c0307eab
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25 changed files with 1675 additions and 340 deletions
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14
litellm/integrations/langfuse.py
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@ -204,6 +204,11 @@ class LangFuseLogger:
):
input = prompt
output = response_obj["choices"][0]["message"].json()
elif response_obj is not None and isinstance(
response_obj, litellm.HttpxBinaryResponseContent
):
input = prompt
output = "speech-output"
elif response_obj is not None and isinstance(
response_obj, litellm.TextCompletionResponse
):
@ -549,7 +554,10 @@ class LangFuseLogger:
generation_id = None
usage = None
if response_obj is not None:
if response_obj.get("id", None) is not None:
if (
hasattr(response_obj, "id")
and response_obj.get("id", None) is not None
):
generation_id = litellm.utils.get_logging_id(
start_time, response_obj
)
@ -571,8 +579,8 @@ class LangFuseLogger:
if _user_api_key_alias is not None:
generation_name = f"litellm:{_user_api_key_alias}"
if response_obj is not None and "system_fingerprint" in response_obj:
system_fingerprint = response_obj.get("system_fingerprint", None)
if response_obj is not None:
system_fingerprint = getattr(response_obj, "system_fingerprint", None)
else:
system_fingerprint = None