| """ |
| Tests for optional LLM parameters (temperature, top_p). |
| Ensures Anthropic model compatibility where both params cannot be specified together. |
| """ |
|
|
| import unittest |
|
|
| from openevolve.config import Config, LLMConfig, LLMModelConfig |
|
|
|
|
| class TestOptionalTemperatureTopP(unittest.TestCase): |
| """Tests for optional temperature and top_p parameters""" |
|
|
| def test_llm_config_temperature_default(self): |
| """Test that temperature defaults to 0.7 in LLMConfig""" |
| config = LLMConfig() |
| self.assertEqual(config.temperature, 0.7) |
|
|
| def test_llm_config_top_p_default_is_none(self): |
| """Test that top_p defaults to None in LLMConfig (for Anthropic compatibility)""" |
| config = LLMConfig() |
| self.assertIsNone(config.top_p) |
|
|
| def test_model_config_temperature_none_by_default(self): |
| """Test that LLMModelConfig temperature is None by default""" |
| config = LLMModelConfig() |
| self.assertIsNone(config.temperature) |
|
|
| def test_model_config_top_p_none_by_default(self): |
| """Test that LLMModelConfig top_p is None by default""" |
| config = LLMModelConfig() |
| self.assertIsNone(config.top_p) |
|
|
| def test_type_annotation_allows_none(self): |
| """Test that temperature and top_p can be set to None""" |
| config = LLMModelConfig(temperature=None, top_p=None) |
| self.assertIsNone(config.temperature) |
| self.assertIsNone(config.top_p) |
|
|
| def test_type_annotation_allows_float(self): |
| """Test that temperature and top_p can be set to float values""" |
| config = LLMModelConfig(temperature=0.5, top_p=0.9) |
| self.assertEqual(config.temperature, 0.5) |
| self.assertEqual(config.top_p, 0.9) |
|
|
|
|
| class TestConfigFromDictWithOptionalParams(unittest.TestCase): |
| """Tests for loading config with optional temperature/top_p from dict""" |
|
|
| def test_config_with_null_temperature_uses_default(self): |
| """Test loading config with null temperature uses default""" |
| config_dict = { |
| "llm": { |
| "primary_model": "claude-sonnet", |
| "api_base": "https://api.anthropic.com/v1", |
| "temperature": None, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| |
| self.assertEqual(config.llm.temperature, 0.7) |
|
|
| def test_config_with_null_top_p(self): |
| """Test loading config with null top_p""" |
| config_dict = { |
| "llm": { |
| "primary_model": "gpt-4", |
| "top_p": None, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| self.assertIsNone(config.llm.top_p) |
|
|
| def test_config_with_only_temperature(self): |
| """Test config with only temperature set (typical for Anthropic)""" |
| config_dict = { |
| "llm": { |
| "primary_model": "claude-sonnet", |
| "temperature": 0.9, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| self.assertEqual(config.llm.temperature, 0.9) |
| self.assertIsNone(config.llm.top_p) |
|
|
| def test_config_with_only_top_p(self): |
| """Test config with only top_p set""" |
| config_dict = { |
| "llm": { |
| "primary_model": "gpt-4", |
| "temperature": None, |
| "top_p": 0.95, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| self.assertEqual(config.llm.top_p, 0.95) |
|
|
| def test_config_with_both_params(self): |
| """Test config with both temperature and top_p set (OpenAI compatible)""" |
| config_dict = { |
| "llm": { |
| "primary_model": "gpt-4", |
| "temperature": 0.8, |
| "top_p": 0.9, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| self.assertEqual(config.llm.temperature, 0.8) |
| self.assertEqual(config.llm.top_p, 0.9) |
|
|
| def test_models_inherit_optional_params(self): |
| """Test that models inherit temperature/top_p from parent config""" |
| config_dict = { |
| "llm": { |
| "primary_model": "gpt-4", |
| "temperature": 0.5, |
| "top_p": None, |
| } |
| } |
| config = Config.from_dict(config_dict) |
| |
| for model in config.llm.models: |
| self.assertEqual(model.temperature, 0.5) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
