- Clean architecture (domain/application/infrastructure) - DSPy-based evolution engine with scoring - CLI via pyproject.toml entry point - Unit + integration tests (~300 tests) - Configs for glm-5.1 and glm-4.5-air models - Z.AI endpoint integration
30 lines
831 B
Python
30 lines
831 B
Python
"""Integration tests for DSPy adapters using DSPy mock LM."""
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from __future__ import annotations
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import dspy
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import pytest
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from prometheus.domain.entities import Prompt
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from prometheus.infrastructure.llm_adapter import DSPyLLMAdapter
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@pytest.fixture
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def mock_lm() -> dspy.LM:
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"""Create a DSPy mock LM that returns predictable responses."""
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lm = dspy.utils.DummyLM(
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[
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{"output": "Mock output response"},
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]
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)
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dspy.configure(lm=lm)
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return lm
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class TestDSPyLLMAdapter:
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def test_execute_returns_response(self, mock_lm: dspy.LM) -> None:
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adapter = DSPyLLMAdapter(model="openai/gpt-4o-mini")
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prompt = Prompt(text="Answer the question.")
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result = adapter.execute(prompt, "What is 2+2?")
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assert isinstance(result, str)
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assert len(result) > 0
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