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83 行
3.0 KiB
Python
83 行
3.0 KiB
Python
from types import SimpleNamespace
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from unittest.mock import AsyncMock
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import pytest
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from letta.schemas.enums import ProviderCategory, ProviderType
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from letta.schemas.llm_config import LLMConfig
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from letta.schemas.providers.google_vertex import GoogleVertexProvider
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from letta.schemas.user import User as PydanticUser
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from letta.services.provider_manager import ProviderManager
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def test_llm_config_redirects_deprecated_google_model():
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config = LLMConfig(
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model="gemini-3-pro-preview",
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model_endpoint_type="google_ai",
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handle="google_ai/gemini-3-pro-preview",
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context_window=1048576,
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)
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assert config.model == "gemini-3.1-pro-preview"
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assert config.handle == "google_ai/gemini-3.1-pro-preview"
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@pytest.mark.asyncio
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async def test_provider_manager_redirects_deprecated_google_handle(monkeypatch):
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provider_manager = ProviderManager()
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actor = PydanticUser(
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id="user-00000000-0000-0000-0000-000000000000",
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organization_id="org-00000000-0000-0000-0000-000000000000",
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name="Test User",
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)
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lookup_calls: list[str] = []
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async def mock_get_model_by_handle_async(handle: str, actor, model_type: str):
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lookup_calls.append(handle)
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if handle == "google_ai/gemini-3.1-pro-preview":
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return SimpleNamespace(
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provider_id="provider-00000000-0000-0000-0000-000000000000",
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name="gemini-3.1-pro-preview",
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model_endpoint_type="google_ai",
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max_context_window=1048576,
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handle="google_ai/gemini-3.1-pro-preview",
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)
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return None
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typed_provider = SimpleNamespace(
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base_url="https://generativelanguage.googleapis.com",
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get_default_max_output_tokens=lambda _model: 65536,
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)
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provider = SimpleNamespace(
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name="google_ai",
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provider_type=ProviderType.google_ai,
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provider_category=ProviderCategory.base,
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cast_to_subtype=lambda: typed_provider,
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)
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monkeypatch.setattr(provider_manager, "get_model_by_handle_async", mock_get_model_by_handle_async)
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monkeypatch.setattr(provider_manager, "get_provider_async", AsyncMock(return_value=provider))
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monkeypatch.setattr(provider_manager, "list_providers_async", AsyncMock(return_value=[]))
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llm_config = await provider_manager.get_llm_config_from_handle(
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handle="google_ai/gemini-3-pro-preview",
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actor=actor,
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)
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assert lookup_calls == ["google_ai/gemini-3-pro-preview", "google_ai/gemini-3.1-pro-preview"]
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assert llm_config.model == "gemini-3.1-pro-preview"
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assert llm_config.handle == "google_ai/gemini-3.1-pro-preview"
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@pytest.mark.asyncio
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async def test_google_vertex_provider_does_not_surface_deprecated_gemini_3_pro_preview():
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provider = GoogleVertexProvider(
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name="google_vertex",
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google_cloud_project="test-project",
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google_cloud_location="us-central1",
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)
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models = await provider.list_llm_models_async()
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assert {model.model for model in models}.isdisjoint({"gemini-3-pro-preview"})
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