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litellm/tests/unit/llms/lemonade/test_lemonade.py
yuneng-jiang 5e6dc89ba1
test: move tests/test_litellm/llms into tests/unit/llms (#43191) 
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: rename fork-flag to unit-flag now that it applies on every event

* test: move tests/test_litellm root and small trees into tests/unit

Pure renames, no content changes. Follow-up commits in this PR fix
references, merge the three files that already existed in tests/unit,
keep live-provider tests in tests/test_litellm and wire CI.

* test: carry tests/test_litellm conftest isolation into tests/unit

Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS,
proxy-URL and keychain env, and session-end client cleanup now reset for
unit tests too. The environment isolation owns its MonkeyPatch so a test's
own monkeypatch is undone before the model-cost teardown runs.

* test: merge, split and prune the moved root and small-tree tests

Merge batches/test_batch_utils.py and the chat_completions and messages
dispatch tests into the files that already existed in tests/unit. Keep
the live Gemini interactions tests, the async image-fetch format test and
the OpenAI embedding scorer test in tests/test_litellm since they need
real network or keys. Put test_router.py under tests/unit/test_router so
the existing package no longer shadows it. Delete eight tests the audit
found superseded by stronger ones kept in this move.

* ci: run the moved root and small-tree tests under their legacy flags

Add the misc and responses-caching-types flags to unit_selection.sh and
CircleCI, extend enterprise-routing and mcp-integration, and point the
legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest
and change classifier at the new paths.

* test: make the new tests/unit directories packages

tests/unit/test_package_layout.py requires every directory to carry an
__init__.py, and without one the moved and retained
test_litellm_responses_bridge.py modules collide on import.

* test: scope the unit socket block to tests/unit in shared sessions

The GHA shards collect the legacy test-path and the unit selection in one
pytest session. The unit conftest's loopback-only block leaked into legacy
modules that reach the network at import. The legacy conftest now lifts the
restriction at collect and setup time, and the unit conftest re-applies it
when collecting its own modules.

* test: move tests/test_litellm/llms into tests/unit/llms

Rename-only. Moves the provider tests and the fine-tuning fixtures they
load, mirroring the old paths. Follow-up commits merge, split and wire them.

* test: merge, split and prune the moved llms tests

Merges the Databricks chat transformation tests into the existing unit
file, keeps the tests that need real keys or the network in
tests/test_litellm, deletes the audited tests a stronger unit test
already covers, and points imports at tests.unit.llms.

* ci: run the moved llms tests under their legacy flags

The Vertex AI and All Other Providers shards keep their legacy test-path
for the retained files and add the llm-vertex-ai and llm-other-providers
unit selections. CircleCI gets matching unit jobs.

* test: make the tests/unit/llms directories packages

Adds __init__.py to the moved dirs and drops the legacy ones whose
directories no longer hold tests.

* test: drop script runners and path hacks the llms split left dangling

The __main__ runners in the split openai_like files and the Databricks e2e
runner called tests that now live in the other half of the split or were
deleted. The retained legacy halves also no longer need sys.path edits.

* test: give the shard-script tests their own GITHUB_OUTPUT

They only passed where the runner set it. The CircleCI unit job's env
allowlist drops it, so the script's redirect failed there.

* test: point the router and module-deletion checks at tests/unit

router_code_coverage and code_qa_check_tests only searched tests/test_litellm,
so the moved router tests no longer counted. The two silent-experiment tests
the audit deleted were the only direct callers of those methods; they are
replaced with tests that assert the forwarded shadow request and the
recursion guard.

* test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path

The Databricks e2e file is a manual script whose main() calls the tests
that were pruned, so pruning them broke the documented run. It is back to
its main version. The SageMaker Nova docstring now points at the file's
real location in tests/local_testing.

* test: keep the job's UNIT_FLAG out of the shard-script tests

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-25 12:43:23 -07:00

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from unittest.mock import MagicMock, patch
import litellm
from litellm.llms.lemonade.chat.transformation import LemonadeChatConfig
from litellm.types.utils import ModelResponse
def test_lemonade_config_initialization():
"""Test that LemonadeChatConfig can be initialized with various parameters"""
config = LemonadeChatConfig(
temperature=0.7, max_tokens=100, top_p=0.9, top_k=50, repeat_penalty=1.1
)
assert config.custom_llm_provider == "lemonade"
assert config.temperature == 0.7
assert config.max_tokens == 100
assert config.top_p == 0.9
assert config.top_k == 50
assert config.repeat_penalty == 1.1
def test_get_openai_compatible_provider_info(monkeypatch):
"""Test the provider info method returns correct API base and key"""
monkeypatch.delenv("LEMONADE_API_KEY", raising=False)
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base=None, api_key=None
)
assert api_base == "http://localhost:8000/api/v1"
assert key == "lemonade"
def test_get_openai_compatible_provider_info_with_custom_base(monkeypatch):
"""Test the provider info method with custom API base"""
monkeypatch.delenv("LEMONADE_API_KEY", raising=False)
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
custom_api_base = "https://custom.lemonade.ai/v1"
api_base, key = config._get_openai_compatible_provider_info(
api_base=custom_api_base, api_key=None
)
assert api_base == custom_api_base
assert key == "lemonade"
def test_get_openai_compatible_provider_info_with_api_key_env(monkeypatch):
"""Test the provider info method reads Lemonade's API key from the environment."""
monkeypatch.setenv("LEMONADE_API_KEY", "test-key")
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base=None, api_key=None
)
assert api_base == "http://localhost:8000/api/v1"
assert key == "test-key"
def test_get_openai_compatible_provider_info_skips_env_key_for_custom_base(
monkeypatch,
):
"""Test that caller-supplied bases do not receive server-side Lemonade keys."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base="https://attacker.example/v1", api_key=None
)
assert api_base == "https://attacker.example/v1"
assert key == "lemonade"
assert config._get_auth_headers(key) == {}
def test_get_openai_compatible_provider_info_uses_explicit_key_for_custom_base(
monkeypatch,
):
"""Test that explicitly supplied Lemonade keys are sent to supplied bases."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base="https://lemonade.example/v1", api_key="explicit-lemonade-key"
)
assert api_base == "https://lemonade.example/v1"
assert key == "explicit-lemonade-key"
assert config._get_auth_headers(key) == {
"Authorization": "Bearer explicit-lemonade-key"
}
def test_get_openai_compatible_provider_info_empty_key_does_not_leak_to_custom_base(
monkeypatch,
):
"""An empty explicit key must not fall back to server-side Lemonade creds for a custom base."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base="https://attacker.example/v1", api_key=""
)
assert api_base == "https://attacker.example/v1"
assert key == "lemonade"
assert config._get_auth_headers(key) == {}
def test_get_openai_compatible_provider_info_ignores_global_api_key(monkeypatch):
"""Test that Lemonade discovery does not send unrelated global API keys."""
monkeypatch.delenv("LEMONADE_API_KEY", raising=False)
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", "global-openai-key")
config = LemonadeChatConfig()
api_base, key = config._get_openai_compatible_provider_info(
api_base="http://lemonade.test/v1", api_key=None
)
assert api_base == "http://lemonade.test/v1"
assert key == "lemonade"
assert config._get_auth_headers(key) == {}
def test_get_models_does_not_leak_lemonade_key_to_custom_base(monkeypatch):
"""Test Lemonade discovery does not send server-side keys to supplied bases."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", "global-provider-key")
config = LemonadeChatConfig()
response = MagicMock()
response.status_code = 200
response.json.return_value = {"data": []}
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
models = config.get_models(api_base="https://attacker.example/v1")
assert models == []
assert mock_get.call_args.kwargs["headers"] == {}
def test_get_model_info_uses_loaded_context_size():
"""Test that Lemonade model info prefers the effective loaded ctx_size."""
config = LemonadeChatConfig()
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"recipe_options": {"ctx_size": 65536},
"max_context_window": 262144,
}
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
model_info = config.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="http://lemonade.test/v1",
)
assert model_info["key"] == "lemonade/Qwen3.6-35B-A3B-GGUF"
assert model_info["litellm_provider"] == "lemonade"
assert model_info["max_input_tokens"] == 65536
assert model_info["provider_specific_entry"] == {
"recipe_options": {"ctx_size": 65536},
"max_context_window": 262144,
}
assert "supports_function_calling" not in model_info
assert "supports_response_schema" not in model_info
assert "supports_tool_choice" not in model_info
assert mock_get.call_args.kwargs["headers"] == {}
def test_get_model_info_falls_back_when_server_unavailable():
"""Test that Lemonade metadata lookup failures return safe defaults."""
config = LemonadeChatConfig()
with patch.object(
litellm.module_level_client, "get", side_effect=Exception("boom")
):
model_info = config.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="http://lemonade.test/v1",
)
assert model_info["key"] == "lemonade/Qwen3.6-35B-A3B-GGUF"
assert model_info["litellm_provider"] == "lemonade"
assert model_info["mode"] == "chat"
assert model_info["input_cost_per_token"] == 0.0
assert model_info["output_cost_per_token"] == 0.0
assert model_info["max_tokens"] is None
assert model_info["max_input_tokens"] is None
assert model_info["max_output_tokens"] is None
assert "supports_function_calling" not in model_info
assert "supports_response_schema" not in model_info
assert "supports_tool_choice" not in model_info
def test_get_model_info_reads_context_from_provider_specific_entry():
"""Test that Lemonade model info uses provider-specific runtime metadata."""
config = LemonadeChatConfig()
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"provider_specific_entry": {
"recipe_options": {"ctx_size": "32768"},
"max_context_window": 262144,
},
}
with patch.object(litellm.module_level_client, "get", return_value=response):
model_info = config.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="http://lemonade.test/v1",
)
assert model_info["max_input_tokens"] == 32768
assert model_info["provider_specific_entry"] == {
"recipe_options": {"ctx_size": "32768"},
"max_context_window": 262144,
}
def test_get_model_info_sends_lemonade_api_key_for_configured_base(monkeypatch):
"""Test that Lemonade model info uses auth for configured servers."""
monkeypatch.setenv("LEMONADE_API_KEY", "test-key")
monkeypatch.setenv("LEMONADE_API_BASE", "http://lemonade.test/v1")
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"recipe_options": {"ctx_size": 65536},
}
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
config.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
)
assert mock_get.call_args.kwargs["headers"] == {"Authorization": "Bearer test-key"}
def test_get_model_info_sends_explicit_lemonade_api_key_for_custom_base(monkeypatch):
"""Test that Lemonade model info sends explicitly supplied auth to supplied bases."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-key")
monkeypatch.setattr(litellm, "lemonade_key", None)
monkeypatch.setattr(litellm, "api_key", None)
config = LemonadeChatConfig()
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"recipe_options": {"ctx_size": 65536},
}
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
config.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="http://lemonade.test/v1",
api_key="explicit-test-key",
)
assert mock_get.call_args.kwargs["headers"] == {
"Authorization": "Bearer explicit-test-key"
}
def test_litellm_get_model_info_does_not_leak_lemonade_key_to_custom_base(
monkeypatch,
):
"""Test top-level model info does not send server-side keys to supplied bases."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", "global-provider-key")
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"max_input_tokens": 65536,
"max_context_window": 262144,
}
litellm.get_model_info.cache_clear()
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
try:
model_info = litellm.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="https://attacker.example/v1",
)
finally:
litellm.get_model_info.cache_clear()
assert model_info["max_input_tokens"] == 65536
assert mock_get.call_args.kwargs["headers"] == {}
def test_litellm_get_model_info_forwards_explicit_lemonade_key_to_custom_base(
monkeypatch,
):
"""Top-level model info must forward an explicit api_key to the supplied base."""
monkeypatch.setenv("LEMONADE_API_KEY", "server-side-lemonade-key")
monkeypatch.setattr(litellm, "lemonade_key", "configured-lemonade-key")
monkeypatch.setattr(litellm, "api_key", "global-provider-key")
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"max_input_tokens": 65536,
}
litellm.get_model_info.cache_clear()
with patch.object(
litellm.module_level_client, "get", return_value=response
) as mock_get:
try:
model_info = litellm.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="https://lemonade.example/v1",
api_key="explicit-lemonade-key",
)
finally:
litellm.get_model_info.cache_clear()
assert model_info["max_input_tokens"] == 65536
assert mock_get.call_args.kwargs["headers"] == {
"Authorization": "Bearer explicit-lemonade-key"
}
def test_litellm_get_model_info_uses_lemonade_api_base():
"""Test that LiteLLM model info is wired to Lemonade's model metadata API."""
response = MagicMock()
response.status_code = 200
response.json.return_value = {
"id": "Qwen3.6-35B-A3B-GGUF",
"max_input_tokens": 65536,
"max_context_window": 262144,
}
litellm.get_model_info.cache_clear()
with patch.object(litellm.module_level_client, "get", return_value=response):
try:
model_info = litellm.get_model_info(
model="lemonade/Qwen3.6-35B-A3B-GGUF",
api_base="http://lemonade.test/v1",
)
finally:
litellm.get_model_info.cache_clear()
assert model_info["max_input_tokens"] == 65536
assert response.raise_for_status.called
assert response.json.called
def test_transform_response():
"""Test the response transformation adds lemonade prefix to model name"""
config = LemonadeChatConfig()
# Mock raw response
raw_response = MagicMock()
raw_response.status_code = 200
raw_response.headers = {}
# Create a model response
model_response = ModelResponse()
# Mock the parent class transform_response method
with patch.object(
config.__class__.__bases__[0], "transform_response"
) as mock_parent:
mock_parent.return_value = model_response
result = config.transform_response(
model="test-model",
raw_response=raw_response,
model_response=model_response,
logging_obj=MagicMock(),
request_data={},
messages=[],
optional_params={},
litellm_params={},
encoding=None,
api_key="test-key",
json_mode=False,
)
# Check that the model name is prefixed with "lemonade/"
assert hasattr(result, "model")
assert result.model == "lemonade/test-model"
def test_config_get_config():
"""Test that get_config method returns the configuration"""
config_dict = LemonadeChatConfig.get_config()
assert isinstance(config_dict, dict)
def test_response_format_support():
"""Test that response_format parameter is supported"""
response_format = {"type": "json_object"}
config = LemonadeChatConfig(response_format=response_format)
assert config.response_format == response_format
def test_tools_support():
"""Test that tools parameter is supported"""
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get weather information",
},
}
]
config = LemonadeChatConfig(tools=tools)
assert config.tools == tools
def test_functions_support():
"""Test that functions parameter is supported"""
functions = [
{
"name": "get_weather",
"description": "Get weather information",
"parameters": {"type": "object", "properties": {}},
}
]
config = LemonadeChatConfig(functions=functions)
assert config.functions == functions
def test_stop_parameter_support():
"""Test that stop parameter supports both string and list"""
# Test with string
config1 = LemonadeChatConfig(stop="STOP")
assert config1.stop == "STOP"
# Test with list
config2 = LemonadeChatConfig(stop=["STOP", "END"])
assert config2.stop == ["STOP", "END"]
def test_logit_bias_support():
"""Test that logit_bias parameter is supported"""
logit_bias = {"50256": -100}
config = LemonadeChatConfig(logit_bias=logit_bias)
assert config.logit_bias == logit_bias
def test_presence_penalty_support():
"""Test that presence_penalty parameter is supported"""
config = LemonadeChatConfig(presence_penalty=0.5)
assert config.presence_penalty == 0.5
def test_n_parameter_support():
"""Test that n parameter (number of completions) is supported"""
config = LemonadeChatConfig(n=3)
assert config.n == 3
def test_max_completion_tokens_support():
"""Test that max_completion_tokens parameter is supported"""
config = LemonadeChatConfig(max_completion_tokens=150)
assert config.max_completion_tokens == 150
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