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Merge PR #19884 into litellm_pr_review_000005
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commit
3c434f69e7
2 changed files with 172 additions and 37 deletions
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@ -1,19 +1,48 @@
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from typing import Optional
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# Pre-define optional kwargs keys as frozenset for O(1) lookups
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# These are extracted from kwargs only if present, avoiding unnecessary .get() calls
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_OPTIONAL_KWARGS_KEYS = frozenset({
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"azure_ad_token",
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"tenant_id",
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"client_id",
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"client_secret",
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"azure_username",
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"azure_password",
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"azure_scope",
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"timeout",
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"bucket_name",
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"vertex_credentials",
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"vertex_project",
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"vertex_location",
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"vertex_ai_project",
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"vertex_ai_location",
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"vertex_ai_credentials",
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"aws_region_name",
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"aws_access_key_id",
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"aws_secret_access_key",
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"aws_session_token",
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"aws_session_name",
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"aws_profile_name",
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"aws_role_name",
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"aws_web_identity_token",
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"aws_sts_endpoint",
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"aws_external_id",
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"aws_bedrock_runtime_endpoint",
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"tpm",
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"rpm",
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})
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def _get_base_model_from_litellm_call_metadata(
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metadata: Optional[dict],
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) -> Optional[str]:
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if metadata is None:
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return None
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if metadata is not None:
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model_info = metadata.get("model_info", {})
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if model_info is not None:
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base_model = model_info.get("base_model", None)
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if base_model is not None:
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return base_model
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model_info = metadata.get("model_info")
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if model_info:
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return model_info.get("base_model")
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return None
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@ -66,6 +95,7 @@ def get_litellm_params(
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litellm_request_debug: Optional[bool] = None,
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**kwargs,
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) -> dict:
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# Build base dict with explicit parameters (always included)
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litellm_params = {
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"acompletion": acompletion,
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"api_key": api_key,
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@ -112,37 +142,15 @@ def get_litellm_params(
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"ssl_verify": ssl_verify,
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"merge_reasoning_content_in_choices": merge_reasoning_content_in_choices,
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"api_version": api_version,
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"azure_ad_token": kwargs.get("azure_ad_token"),
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"tenant_id": kwargs.get("tenant_id"),
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"client_id": kwargs.get("client_id"),
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"client_secret": kwargs.get("client_secret"),
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"azure_username": kwargs.get("azure_username"),
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"azure_password": kwargs.get("azure_password"),
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"azure_scope": kwargs.get("azure_scope"),
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"max_retries": max_retries,
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"timeout": kwargs.get("timeout"),
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"bucket_name": kwargs.get("bucket_name"),
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"vertex_credentials": kwargs.get("vertex_credentials"),
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"vertex_project": kwargs.get("vertex_project"),
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"vertex_location": kwargs.get("vertex_location"),
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"vertex_ai_project": kwargs.get("vertex_ai_project"),
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"vertex_ai_location": kwargs.get("vertex_ai_location"),
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"vertex_ai_credentials": kwargs.get("vertex_ai_credentials"),
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"use_litellm_proxy": use_litellm_proxy,
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"litellm_request_debug": litellm_request_debug,
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"aws_region_name": kwargs.get("aws_region_name"),
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# AWS credentials for Bedrock/Sagemaker
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"aws_access_key_id": kwargs.get("aws_access_key_id"),
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"aws_secret_access_key": kwargs.get("aws_secret_access_key"),
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"aws_session_token": kwargs.get("aws_session_token"),
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"aws_session_name": kwargs.get("aws_session_name"),
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"aws_profile_name": kwargs.get("aws_profile_name"),
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"aws_role_name": kwargs.get("aws_role_name"),
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"aws_web_identity_token": kwargs.get("aws_web_identity_token"),
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"aws_sts_endpoint": kwargs.get("aws_sts_endpoint"),
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"aws_external_id": kwargs.get("aws_external_id"),
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"aws_bedrock_runtime_endpoint": kwargs.get("aws_bedrock_runtime_endpoint"),
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"tpm": kwargs.get("tpm"),
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"rpm": kwargs.get("rpm"),
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}
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# Sparse extraction: only add kwargs keys that are actually present
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if kwargs:
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for key in _OPTIONAL_KWARGS_KEYS:
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if key in kwargs:
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litellm_params[key] = kwargs[key]
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return litellm_params
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127
tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
Normal file
127
tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
Normal file
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@ -0,0 +1,127 @@
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"""
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Tests for get_litellm_params and related helpers.
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Ensures backward compatibility after sparse kwargs extraction optimization.
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"""
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import pytest
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from litellm.litellm_core_utils.get_litellm_params import (
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_OPTIONAL_KWARGS_KEYS,
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_get_base_model_from_litellm_call_metadata,
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get_litellm_params,
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)
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class TestGetBaseModelFromLitellmCallMetadata:
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def test_none_metadata_returns_none(self):
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assert _get_base_model_from_litellm_call_metadata(None) is None
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def test_empty_metadata_returns_none(self):
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assert _get_base_model_from_litellm_call_metadata({}) is None
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def test_missing_model_info_returns_none(self):
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assert _get_base_model_from_litellm_call_metadata({"foo": "bar"}) is None
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def test_model_info_none_returns_none(self):
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assert _get_base_model_from_litellm_call_metadata({"model_info": None}) is None
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def test_model_info_empty_dict_returns_none(self):
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assert _get_base_model_from_litellm_call_metadata({"model_info": {}}) is None
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def test_returns_base_model(self):
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result = _get_base_model_from_litellm_call_metadata(
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{"model_info": {"base_model": "gpt-4"}}
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)
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assert result == "gpt-4"
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class TestGetLitellmParamsKwargsExtraction:
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"""Verify that optional kwargs are correctly extracted via sparse extraction."""
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def test_no_kwargs_omits_optional_keys(self):
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"""When no kwargs passed, optional keys should not be in result."""
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result = get_litellm_params(api_key="test-key")
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for key in _OPTIONAL_KWARGS_KEYS:
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assert key not in result
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def test_present_kwargs_are_extracted(self):
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result = get_litellm_params(
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aws_region_name="us-east-1",
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timeout=30,
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rpm=100,
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)
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assert result["aws_region_name"] == "us-east-1"
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assert result["timeout"] == 30
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assert result["rpm"] == 100
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def test_subset_of_kwargs_only_includes_provided(self):
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"""Only provided kwargs appear, others remain absent."""
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result = get_litellm_params(azure_ad_token="token123")
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assert result["azure_ad_token"] == "token123"
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assert "aws_region_name" not in result
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assert "timeout" not in result
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def test_unknown_kwargs_are_ignored(self):
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result = get_litellm_params(some_random_kwarg="value")
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assert "some_random_kwarg" not in result
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def test_all_optional_kwargs_extractable(self):
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"""Every key in _OPTIONAL_KWARGS_KEYS can be extracted."""
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kwargs = {key: f"val_{key}" for key in _OPTIONAL_KWARGS_KEYS}
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result = get_litellm_params(**kwargs)
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for key in _OPTIONAL_KWARGS_KEYS:
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assert result[key] == f"val_{key}"
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class TestGetLitellmParamsBaseModel:
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"""Verify base_model resolution precedence."""
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def test_explicit_base_model_takes_precedence(self):
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result = get_litellm_params(
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base_model="explicit",
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metadata={"model_info": {"base_model": "from-metadata"}},
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)
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assert result["base_model"] == "explicit"
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def test_falls_back_to_metadata(self):
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result = get_litellm_params(
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metadata={"model_info": {"base_model": "from-metadata"}}
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)
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assert result["base_model"] == "from-metadata"
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def test_none_when_no_source(self):
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result = get_litellm_params()
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assert result["base_model"] is None
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class TestGetLitellmParamsExplicitFields:
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"""Verify explicit parameters are always present in the result."""
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def test_explicit_params_always_present(self):
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result = get_litellm_params()
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# Spot-check a few explicit keys that should always be in the dict
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expected_keys = [
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"acompletion",
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"api_key",
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"force_timeout",
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"verbose",
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"custom_llm_provider",
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"api_base",
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"metadata",
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"model_info",
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"max_retries",
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"ssl_verify",
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"api_version",
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]
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for key in expected_keys:
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assert key in result
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def test_no_log_from_kwargs(self):
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"""no-log can come via **kwargs as well as the explicit param."""
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result = get_litellm_params(**{"no-log": True})
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assert result["no-log"] is True
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def test_no_log_from_explicit_param(self):
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result = get_litellm_params(no_log=True)
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assert result["no-log"] is True
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