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54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
from unittest.mock import Mock, patch
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from mem0.configs.llms.anthropic import AnthropicConfig
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from mem0.configs.llms.aws_bedrock import AWSBedrockConfig
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.configs.llms.openai import OpenAIConfig
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from mem0.utils.factory import LlmFactory
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def _capture_config(provider_name, config):
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"""Build an LLM via the factory and return the config it was constructed with."""
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captured = {}
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def fake_llm_class(built_config):
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captured["config"] = built_config
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return Mock()
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with patch("mem0.utils.factory.load_class", return_value=fake_llm_class):
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LlmFactory.create(provider_name, config)
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return captured["config"]
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def test_base_to_openai_preserves_reasoning_fields():
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base_config = BaseLlmConfig(model="o3", reasoning_effort="high", is_reasoning_model=True)
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built = _capture_config("openai", base_config)
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assert isinstance(built, OpenAIConfig)
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assert built.reasoning_effort == "high"
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assert built.is_reasoning_model is True
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def test_base_to_kwargs_provider_preserves_reasoning_fields():
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# AWSBedrockConfig accepts the reasoning fields via **kwargs, so they must survive.
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base_config = BaseLlmConfig(model="amazon.nova", reasoning_effort="medium", is_reasoning_model=True)
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built = _capture_config("aws_bedrock", base_config)
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assert isinstance(built, AWSBedrockConfig)
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assert built.reasoning_effort == "medium"
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assert built.is_reasoning_model is True
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def test_base_to_provider_without_reasoning_fields_still_builds():
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# Anthropic config does not accept reasoning_effort/is_reasoning_model;
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# the conversion must not forward unsupported kwargs to it.
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base_config = BaseLlmConfig(model="claude-3-5-sonnet-20240620")
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built = _capture_config("anthropic", base_config)
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assert isinstance(built, AnthropicConfig)
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assert built.model == "claude-3-5-sonnet-20240620"
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