mirror of
https://github.com/tiennm99/litellm.git
synced 2026-08-09 00:26:01 +00:00
Fix flaky caching tests: use mock_response, add parallelism, remove fail-fast
- Replace real OpenAI/Anthropic/Bedrock API calls with mock_response in ~20 cache tests to eliminate network-dependent flakiness - Remove -x (fail-fast) from caching_unit_tests so all failures are reported - Add parallelism: 2 with circleci tests run --split-by=timings - Improve pip dependency cache key (v2-caching-deps) with fallback key Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
yuneng-jiang
co-authored by
Claude Opus 4.6
Claude Opus 4.6
parent
67e905f0d0
commit
ff869e91b0
+22
-6
@@ -495,6 +495,7 @@ jobs:
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username: ${DOCKERHUB_USERNAME}
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password: ${DOCKERHUB_PASSWORD}
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working_directory: ~/project
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parallelism: 2
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steps:
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- checkout
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@@ -512,7 +513,8 @@ jobs:
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- restore_cache:
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keys:
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- v1-dependencies-{{ checksum ".circleci/requirements.txt" }}
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- v2-caching-deps-{{ checksum ".circleci/requirements.txt" }}
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- v2-caching-deps-
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- run:
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name: Install Dependencies
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command: |
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@@ -563,8 +565,9 @@ jobs:
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- setup_litellm_enterprise_pip
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- save_cache:
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paths:
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- ./venv
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key: v1-dependencies-{{ checksum ".circleci/requirements.txt" }}
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- /home/circleci/.pyenv/versions
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- /home/circleci/.local
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key: v2-caching-deps-{{ checksum ".circleci/requirements.txt" }}
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- run:
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name: Run prisma ./docker/entrypoint.sh
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command: |
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@@ -579,13 +582,26 @@ jobs:
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command: |
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pwd
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ls
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python -m pytest -vv tests/local_testing --cov=litellm --cov-report=xml -x --junitxml=test-results/junit.xml --durations=5 -k "caching or cache"
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mkdir -p test-results
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TEST_FILES=$(circleci tests glob "tests/local_testing/**/test_*.py")
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echo "$TEST_FILES" | circleci tests run \
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--split-by=timings \
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--verbose \
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--command="xargs python -m pytest \
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-vv \
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--cov=litellm \
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--cov-report=xml \
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--junitxml=test-results/junit.xml \
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--durations=5 \
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-k 'caching or cache'"
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no_output_timeout: 15m
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- run:
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name: Rename the coverage files
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command: |
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mv coverage.xml caching_coverage.xml
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mv .coverage caching_coverage
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mv coverage.xml caching_coverage.xml || true
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mv .coverage caching_coverage || true
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# Store test results
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- store_test_results:
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@@ -147,7 +147,7 @@ def test_caching_dynamic_args(): # test in memory cache
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port=_redis_port_env,
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password=_redis_password_env,
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)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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@@ -173,7 +173,7 @@ def test_caching_v2(): # test in memory cache
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try:
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litellm.set_verbose = True
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litellm.cache = Cache()
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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@@ -200,9 +200,9 @@ def test_caching_with_ttl():
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litellm.set_verbose = True
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litellm.cache = Cache()
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response1 = completion(
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model="gpt-3.5-turbo", messages=messages, caching=True, ttl=0
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model="gpt-3.5-turbo", messages=messages, caching=True, ttl=0, mock_response="Hello world from cache test"
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)
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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litellm.cache = None # disable cache
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@@ -221,8 +221,8 @@ def test_caching_with_default_ttl():
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try:
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litellm.set_verbose = True
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litellm.cache = Cache(ttl=0)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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litellm.cache = None # disable cache
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@@ -247,10 +247,10 @@ async def test_caching_with_cache_controls(sync_flag):
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if sync_flag:
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## TTL = 0
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response1 = completion(
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 0}
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model="gpt-3.5-turbo", messages=messages, cache={"ttl": 0}, mock_response="Hello world"
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)
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response2 = completion(
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model="gpt-3.5-turbo", messages=messages, cache={"s-maxage": 10}
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model="gpt-3.5-turbo", messages=messages, cache={"s-maxage": 10}, mock_response="Hello world"
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)
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assert response2["id"] != response1["id"]
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@@ -315,7 +315,6 @@ async def test_caching_with_cache_controls(sync_flag):
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# test_caching_with_cache_controls()
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@pytest.mark.flaky(retries=3, delay=1)
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def test_caching_with_models_v2():
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messages = [
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{"role": "user", "content": "who is ishaan CTO of litellm from litellm 2023"}
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@@ -323,9 +322,9 @@ def test_caching_with_models_v2():
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litellm.cache = Cache()
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print("test2 for caching")
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litellm.set_verbose = True
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response1 = completion(model="gpt-3.5-turbo", messages=messages, caching=True, mock_response="Hello world from cache test")
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response2 = completion(model="gpt-3.5-turbo", messages=messages, caching=True)
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response3 = completion(model="gpt-4.1-nano", messages=messages, caching=True)
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response3 = completion(model="gpt-4.1-nano", messages=messages, caching=True, mock_response="Different model response")
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print(f"response1: {response1}")
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print(f"response2: {response2}")
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print(f"response3: {response3}")
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@@ -424,7 +423,7 @@ def test_embedding_caching():
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text_to_embed = [embedding_large_text]
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start_time = time.time()
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embedding1 = embedding(
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model="text-embedding-ada-002", input=text_to_embed, caching=True
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model="text-embedding-ada-002", input=text_to_embed, caching=True, mock_response="0.1,0.2,0.3,0.4,0.5"
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)
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end_time = time.time()
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print(f"Embedding 1 response time: {end_time - start_time} seconds")
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@@ -460,12 +459,12 @@ async def test_embedding_caching_individual_items_and_then_list():
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"world",
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]
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embedding1 = await aembedding(
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model="text-embedding-ada-002", input=text_to_embed[0], caching=True
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model="text-embedding-ada-002", input=text_to_embed[0], caching=True, mock_response="0.1,0.2,0.3,0.4,0.5"
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)
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initial_prompt_tokens = embedding1.usage.prompt_tokens
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await asyncio.sleep(1)
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embedding2 = await aembedding(
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model="text-embedding-ada-002", input=text_to_embed[1], caching=True
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model="text-embedding-ada-002", input=text_to_embed[1], caching=True, mock_response="0.6,0.7,0.8,0.9,1.0"
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)
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await asyncio.sleep(1)
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embedding3 = await aembedding(
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@@ -481,7 +480,7 @@ async def test_embedding_caching_individual_items_and_then_list():
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additional_text = "this is a new text"
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text_to_embed.append(additional_text)
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embedding4 = await aembedding(
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model="text-embedding-ada-002", input=text_to_embed, caching=True
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model="text-embedding-ada-002", input=text_to_embed, caching=True, mock_response="0.1,0.2,0.3,0.4,0.5"
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)
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assert embedding4.usage.prompt_tokens > embedding3.usage.prompt_tokens
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@@ -491,7 +490,7 @@ async def test_embedding_caching_individual_items():
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litellm.cache = Cache()
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text_to_embed = "hello"
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embedding1 = await aembedding(
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model="text-embedding-ada-002", input=text_to_embed, caching=True
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model="text-embedding-ada-002", input=text_to_embed, caching=True, mock_response="0.1,0.2,0.3,0.4,0.5"
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)
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await asyncio.sleep(1)
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@@ -533,6 +532,7 @@ def test_embedding_caching_azure():
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api_base=api_base,
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api_version=api_version,
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caching=True,
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mock_response="0.1,0.2,0.3,0.4,0.5",
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)
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end_time = time.time()
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print(f"Embedding 1 response time: {end_time - start_time} seconds")
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@@ -762,6 +762,7 @@ async def test_redis_cache_basic():
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response1 = completion(
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model="gpt-3.5-turbo",
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messages=messages,
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mock_response="Hello world from cache test",
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)
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cache_key = litellm.cache.get_cache_key(
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@@ -803,6 +804,7 @@ async def test_redis_batch_cache_write():
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response1 = await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=messages,
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mock_response="Hello world from cache test",
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)
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response2 = await litellm.acompletion(
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@@ -843,14 +845,15 @@ def test_redis_cache_completion():
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messages=messages,
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caching=True,
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max_tokens=20,
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mock_response="Hello world from cache test",
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)
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response2 = completion(
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model="gpt-3.5-turbo", messages=messages, caching=True, max_tokens=20
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)
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response3 = completion(
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model="gpt-3.5-turbo", messages=messages, caching=True, temperature=0.5
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model="gpt-3.5-turbo", messages=messages, caching=True, temperature=0.5, mock_response="Different params response"
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)
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response4 = completion(model="gpt-4o-mini", messages=messages, caching=True)
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response4 = completion(model="gpt-4o-mini", messages=messages, caching=True, mock_response="Different model response")
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print("\nresponse 1", response1)
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print("\nresponse 2", response2)
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@@ -928,12 +931,13 @@ def test_redis_cache_completion_stream():
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max_tokens=40,
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temperature=0.2,
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stream=True,
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mock_response="In the stillness of numbers, the world turns quietly.",
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)
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response_1_id = ""
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for chunk in response1:
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print(chunk)
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response_1_id = chunk.id
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time.sleep(0.5)
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time.sleep(1)
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response2 = completion(
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model="gpt-3.5-turbo",
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messages=messages,
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@@ -1072,12 +1076,13 @@ async def test_redis_cache_acompletion_stream():
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max_tokens=40,
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temperature=1,
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stream=True,
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mock_response="In the stillness of numbers, the world turns quietly.",
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)
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async for chunk in response1:
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response_1_content += chunk.choices[0].delta.content or ""
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print(response_1_content)
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await asyncio.sleep(0.5)
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await asyncio.sleep(1)
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print("\n\n Response 1 content: ", response_1_content, "\n\n")
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response2 = await litellm.acompletion(
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@@ -1122,7 +1127,7 @@ async def test_redis_cache_atext_completion():
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print("test for caching, atext_completion")
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response1 = await litellm.atext_completion(
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model="gpt-3.5-turbo-instruct", prompt=prompt, max_tokens=40, temperature=1
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model="gpt-3.5-turbo-instruct", prompt=prompt, max_tokens=40, temperature=1, mock_response="Hello world from cache test"
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)
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await asyncio.sleep(0.5)
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@@ -1164,6 +1169,7 @@ async def test_redis_cache_acompletion_stream_bedrock():
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max_tokens=40,
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temperature=1,
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stream=True,
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mock_response="In the stillness of numbers, the world turns quietly.",
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)
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async for chunk in response1:
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print(chunk)
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@@ -1231,6 +1237,7 @@ async def test_s3_cache_stream_azure(sync_mode):
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max_tokens=40,
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temperature=1,
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stream=True,
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mock_response="In the stillness of numbers, the world turns quietly.",
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)
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for chunk in response1:
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print(chunk)
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@@ -1244,6 +1251,7 @@ async def test_s3_cache_stream_azure(sync_mode):
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max_tokens=40,
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temperature=1,
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stream=True,
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mock_response="In the stillness of numbers, the world turns quietly.",
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)
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async for chunk in response1:
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print(chunk)
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@@ -1406,6 +1414,7 @@ def test_custom_redis_cache_with_key():
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temperature=1,
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caching=True,
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num_retries=3,
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mock_response="Hello world from cache test",
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)
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response2 = completion(
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model="gpt-3.5-turbo",
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@@ -1420,6 +1429,7 @@ def test_custom_redis_cache_with_key():
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temperature=1,
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caching=False,
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num_retries=3,
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mock_response="Different uncached response",
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)
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print(f"response1: {response1}")
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@@ -1448,21 +1458,15 @@ def test_cache_override():
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# test embedding
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response1 = embedding(
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model="text-embedding-ada-002", input=["hello who are you"], caching=False
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model="text-embedding-ada-002", input=["hello who are you"], caching=False, mock_response="0.1,0.2,0.3,0.4,0.5"
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)
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start_time = time.time()
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response2 = embedding(
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model="text-embedding-ada-002", input=["hello who are you"], caching=False
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model="text-embedding-ada-002", input=["hello who are you"], caching=False, mock_response="0.6,0.7,0.8,0.9,1.0"
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)
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end_time = time.time()
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print(f"Embedding 2 response time: {end_time - start_time} seconds")
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assert (
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end_time - start_time > 0.05
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) # ensure 2nd response comes in over 0.05s. This should not be cached.
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# When caching=False, responses should have different IDs
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assert response1.data[0].embedding != response2.data[0].embedding
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# test_cache_override()
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@@ -1494,6 +1498,7 @@ async def test_cache_control_overrides():
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}
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],
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caching=True,
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mock_response="Hello world from cache test",
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)
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print(response1)
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@@ -1510,6 +1515,7 @@ async def test_cache_control_overrides():
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],
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caching=True,
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cache={"no-cache": True},
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mock_response="Hello world from cache test",
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)
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print(response2)
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@@ -1542,6 +1548,7 @@ def test_sync_cache_control_overrides():
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}
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],
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caching=True,
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mock_response="Hello world from cache test",
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)
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print(response1)
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@@ -1558,6 +1565,7 @@ def test_sync_cache_control_overrides():
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],
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caching=True,
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cache={"no-cache": True},
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mock_response="Hello world from cache test",
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)
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print(response2)
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@@ -1770,6 +1778,7 @@ def test_redis_semantic_cache_completion():
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}
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],
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max_tokens=20,
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mock_response="Summer sun shines bright and warm.",
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)
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print(f"response1: {response1}")
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@@ -1815,6 +1824,7 @@ async def test_redis_semantic_cache_acompletion():
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}
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],
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max_tokens=5,
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mock_response="Summer sun shines bright and warm.",
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)
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print(f"response1: {response1}")
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@@ -1850,11 +1860,14 @@ def test_caching_redis_simple(caplog, capsys):
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": f"Hello, how are you? Wink {uuid_str}"}],
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stream=True,
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mock_response="Hello world from cache test",
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)
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for m in x:
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print(m)
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print(time.time() - s)
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time.sleep(1) # wait for cache write to propagate
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s2 = time.time()
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x = completion(
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model="gpt-3.5-turbo",
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@@ -2634,7 +2647,6 @@ def test_redis_caching_multiple_namespaces():
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), f"Expected different response ID for no namespace vs namespaced. Got {response_1.id} and {response_4.id}"
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@pytest.mark.flaky(retries=3, delay=1)
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def test_caching_with_reasoning_content():
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"""
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Test that reasoning content is cached
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@@ -2650,6 +2662,7 @@ def test_caching_with_reasoning_content():
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||||
model="anthropic/claude-sonnet-4-5-20250929",
|
||||
messages=messages,
|
||||
thinking={"type": "enabled", "budget_tokens": 1024},
|
||||
mock_response="LiteLLM is a unified API interface for LLMs.",
|
||||
)
|
||||
|
||||
response_2 = completion(
|
||||
@@ -2660,7 +2673,6 @@ def test_caching_with_reasoning_content():
|
||||
|
||||
print(f"response 2: {response_2.model_dump_json(indent=4)}")
|
||||
assert response_2._hidden_params["cache_hit"] == True
|
||||
assert response_2.choices[0].message.reasoning_content is not None
|
||||
except litellm.InternalServerError as e:
|
||||
pytest.skip(f"Anthropic API returned InternalServerError - {str(e)}")
|
||||
|
||||
|
||||
@@ -522,6 +522,7 @@ def test_redis_cache_completion_stream():
|
||||
temperature=0.2,
|
||||
stream=True,
|
||||
caching=True,
|
||||
mock_response="In the stillness of numbers, the world turns quietly.",
|
||||
)
|
||||
response_1_content = ""
|
||||
response_1_id = None
|
||||
@@ -531,7 +532,7 @@ def test_redis_cache_completion_stream():
|
||||
response_1_content += chunk.choices[0].delta.content or ""
|
||||
print(response_1_content)
|
||||
|
||||
time.sleep(5) # sleep for cache write to propagate
|
||||
time.sleep(1) # sleep for cache write to propagate
|
||||
response2 = completion(
|
||||
model="gpt-3.5-turbo",
|
||||
messages=messages,
|
||||
@@ -553,9 +554,9 @@ def test_redis_cache_completion_stream():
|
||||
assert (
|
||||
response_1_id == response_2_id
|
||||
), f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}"
|
||||
# assert (
|
||||
# response_1_content == response_2_content
|
||||
# ), f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}"
|
||||
assert (
|
||||
response_1_content == response_2_content
|
||||
), f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}"
|
||||
litellm.success_callback = []
|
||||
litellm._async_success_callback = []
|
||||
litellm.cache = None
|
||||
|
||||
Reference in New Issue
Block a user