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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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litellm/rerank_api/main.py
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@ -8,7 +8,7 @@ from litellm._logging import verbose_logger
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
from litellm.llms.azure_ai.rerank import AzureAIRerank
from litellm.llms.cohere.rerank import CohereRerank
from litellm.llms.togetherai.rerank import TogetherAIRerank
from litellm.llms.together_ai.rerank import TogetherAIRerank
from litellm.secret_managers.main import get_secret
from litellm.types.router import *
from litellm.utils import client, exception_type, supports_httpx_timeout
@ -103,16 +103,14 @@ def rerank(
)
)
model_parameters = [
"top_n",
"rank_fields",
"return_documents",
"max_chunks_per_doc",
]
model_params_dict = {}
for k, v in optional_params.model_fields.items():
if k in model_parameters:
model_params_dict[k] = v
model_params_dict = {
"top_n": top_n,
"rank_fields": rank_fields,
"return_documents": return_documents,
"max_chunks_per_doc": max_chunks_per_doc,
"documents": documents,
}
litellm_logging_obj.update_environment_variables(
model=model,
user=user,