Files
George Weale b1c984baa2 fix: honor ContextCacheConfig on the LiteLLM path
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 970091291
2026-08-24 14:44:11 -07:00

78 lines
2.6 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for the ContextCacheConfig reading shared by prefix-marking models."""
from google.adk.agents.context_cache_config import ContextCacheConfig
from google.adk.models._prompt_cache import resolve_cache_config
from google.adk.models._prompt_cache import use_one_hour_ttl
from google.adk.models.llm_request import LlmRequest
import pytest
def _request(cache_config=None, previous_prompt_tokens=None):
return LlmRequest(
model="test-model",
cache_config=cache_config,
cacheable_contents_token_count=previous_prompt_tokens,
)
def test_no_cache_config_resolves_to_none():
assert resolve_cache_config(_request()) is None
def test_no_cache_config_resolves_to_none_with_a_known_prompt_size():
"""The size is read only after a config is known to exist."""
assert resolve_cache_config(_request(previous_prompt_tokens=10_000)) is None
def test_cache_config_resolves_before_the_first_prompt_size_is_known():
cache_config = ContextCacheConfig(min_tokens=5000)
assert resolve_cache_config(_request(cache_config)) is cache_config
@pytest.mark.parametrize(
"previous_prompt_tokens,expected",
[(0, None), (4999, None), (5000, "config"), (5001, "config")],
)
def test_min_tokens_gates_on_the_previous_prompt_size(
previous_prompt_tokens, expected
):
cache_config = ContextCacheConfig(min_tokens=5000)
resolved = resolve_cache_config(
_request(cache_config, previous_prompt_tokens)
)
assert resolved is (cache_config if expected else None)
def test_a_prompt_size_of_zero_is_a_size_not_an_absent_one():
"""Zero is below any positive minimum, and is not "not measured yet"."""
cache_config = ContextCacheConfig(min_tokens=1)
assert resolve_cache_config(_request(cache_config, 0)) is None
@pytest.mark.parametrize(
"ttl_seconds,expected",
[(1, False), (300, False), (3599, False), (3600, True), (86400, True)],
)
def test_only_an_hour_or_more_asks_for_the_long_cache(ttl_seconds, expected):
assert (
use_one_hour_ttl(ContextCacheConfig(ttl_seconds=ttl_seconds)) is expected
)