Source code for tests.system.google.cloud.gen_ai.llm_models

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from __future__ import annotations

import os


[docs]
DEFAULT_GEMINI_MODEL = "gemini-3.7-flash"


[docs]
SFT_ENABLED_GEMINI_MODEL = "gemini-3.5-flash"


[docs]
TEXT_EMBEDDING_GEMINI_MODEL = "gemini-embedding-2"



def _get_model_env_variable(name: str, default: str) -> str:
    value = os.environ.get(name, default)
    if not value:
        raise ValueError(f"Environment variable {name} must not be empty.")
    return value


# it should be a general purpose model, multimodal & cached

[docs]
def get_default_gemini_model() -> str:
    return _get_model_env_variable("DEFAULT_GEMINI_MODEL", DEFAULT_GEMINI_MODEL)



# sft enabled model

[docs]
def get_sft_enabled_gemini_model() -> str:
    return _get_model_env_variable("SFT_ENABLED_GEMINI_MODEL", SFT_ENABLED_GEMINI_MODEL)



# embedding model with text support

[docs]
def get_text_embedding_gemini_model() -> str:
    return _get_model_env_variable("TEXT_EMBEDDING_GEMINI_MODEL", TEXT_EMBEDDING_GEMINI_MODEL)