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(sap) fix after bot review

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Vasilisa Parshikova 2026-03-23 19:01:28 +04:00 • committed by Sameer Kankute
parent 178ce613e8
commit 9e5d3d418f
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3 changed files with 16 additions and 14 deletions
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3
litellm/llms/sap/chat/models.py
View file

@ -1,9 +1,8 @@
from typing import Union, Literal, Optional, Any, Self
from typing import Union, Literal, Optional
from enum import Enum
import warnings
from pydantic import BaseModel, Field, field_validator, model_validator
from pydantic.config import ExtraValues
def validate_different_content(v: Union[str, dict, list]) -> str:

12
litellm/llms/sap/chat/transformation.py
View file

@ -211,18 +211,18 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig):
optional_params = dict(optional_params)
optional_params.pop("deployment_url", None)
# Filter strict for GPT models only - SAP AI Core doesn't accept it as a model param
# LangChain agents pass strict=true at top level, which fails for GPT models
# Anthropic models accept strict, so preserve it for them
if model.startswith("gpt") and "strict" in optional_params:
optional_params.pop("strict")
def _build_prompt_module(
*,
model_name: str,
template_messages: List[Dict[str, str]],
params: dict,
) -> dict:
# Filter strict for GPT models only - SAP AI Core doesn't accept it as a model param
# LangChain agents pass strict=true at top level, which fails for GPT models
# Anthropic models accept strict, so preserve it for them
if model.startswith("gpt") and "strict" in optional_params:
optional_params.pop("strict")
model_version = params.pop("model_version", "latest")
tools_ = params.pop("tools", [])

15
litellm/llms/sap/embed/transformation.py
View file

@ -164,13 +164,16 @@ class GenAIHubEmbeddingConfig(BaseEmbeddingConfig):
model_dict["name"] = model
model_dict["version"] = optional_params.get("version", "latest")
model_dict["params"] = optional_params.get("parameters", {})
if optional_params.get("timeout", None) is not None:
model_dict["timeout"] = optional_params.get("timeout")
if optional_params.get("max_retries", None) is not None:
model_dict["max_retries"] = optional_params.get("max_retries")
timeout = optional_params.get("timeout", None)
if timeout is not None:
model_dict["timeout"] = timeout
max_retries = optional_params.get("max_retries", None)
if max_retries is not None:
model_dict["max_retries"] = max_retries
input_dict = {"text": input}
if optional_params.get("type"):
input_dict["type"] = optional_params.get("type")
input_type = optional_params.get("type")
if input_type is not None:
input_dict["type"] = input_type
masking = optional_params.get("masking")
masking = {"masking": masking} if masking is not None else {}
body = {