Files
privateGPT/tests/server/models/test_models_service.py
Javier Martinez 183cd03857 feat!: PrivateGPT revamp v1 (#2230)
* feat!: PrivateGPT revamp v1

* chore(docs): update nodejs
2026-06-02 16:55:46 +02:00

94 lines
3.7 KiB
Python

from types import SimpleNamespace
from private_gpt.server.models.models_service import ModelsService
from private_gpt.settings.settings import LLMModelConfig, SamplingParams
class _FakeLLMComponent:
def __init__(
self, models: dict[str, LLMModelConfig], default_model_id: str
) -> None:
self.llm_models = models
self.default_model_id = default_model_id
def get_config(self, model_id: str | None) -> LLMModelConfig:
if model_id is None or model_id not in self.llm_models:
raise ValueError(f"Unknown model: {model_id}")
return self.llm_models[model_id]
def _make_model(
name: str,
support_reasoning: bool | None,
support_image: int | None,
) -> LLMModelConfig:
return LLMModelConfig(
name=name,
mode="mock",
support_reasoning=support_reasoning,
support_image=support_image,
sampling_params=SamplingParams(max_new_tokens=2048),
)
def test_capabilities_do_not_fallback_to_default_model_config() -> None:
default_model = _make_model(
"default-model", support_reasoning=True, support_image=1
)
target_model = _make_model(
"target-model", support_reasoning=None, support_image=None
)
llm_component = _FakeLLMComponent(
models={
default_model.name: default_model,
target_model.name: target_model,
},
default_model_id=default_model.name,
)
settings = SimpleNamespace(
chat=SimpleNamespace(allow_reasoning=True, allow_generate_citations=False),
sandbox=SimpleNamespace(enabled=True),
)
service = ModelsService(llm_component=llm_component, settings=settings)
model_info = service.get_model(target_model.name)
assert model_info.capabilities is not None
assert model_info.capabilities.thinking.supported is False
assert model_info.capabilities.thinking.types.enabled.supported is False
assert model_info.capabilities.thinking.types.adaptive.supported is False
assert model_info.capabilities.image_input.supported is False
assert model_info.capabilities.citations.supported is False
assert model_info.capabilities.code_execution.supported is False
assert model_info.capabilities.context_management.supported is False
assert model_info.capabilities.context_management.clear_thinking_20251015 is None
assert model_info.capabilities.context_management.clear_tool_uses_20250919 is None
assert model_info.capabilities.context_management.compact_20260112 is None
assert model_info.capabilities.effort.supported is False
assert model_info.capabilities.effort.low.supported is False
assert model_info.capabilities.effort.medium.supported is False
assert model_info.capabilities.effort.high.supported is False
assert model_info.capabilities.effort.max.supported is False
def test_global_reasoning_disable_overrides_model_support() -> None:
default_model = _make_model(
"default-model", support_reasoning=True, support_image=None
)
llm_component = _FakeLLMComponent(
models={default_model.name: default_model},
default_model_id=default_model.name,
)
settings = SimpleNamespace(
chat=SimpleNamespace(allow_reasoning=False, allow_generate_citations=True),
sandbox=SimpleNamespace(enabled=False),
)
service = ModelsService(llm_component=llm_component, settings=settings)
model_info = service.get_model(default_model.name)
assert model_info.capabilities is not None
assert model_info.capabilities.thinking.supported is False
assert model_info.capabilities.thinking.types.enabled.supported is False
assert model_info.capabilities.thinking.types.adaptive.supported is False