Initial commit: PROMETHEUS v0.1.0 - Prompt optimizer

- 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

tests/integration/test_dspy_adapters.py

@@ -0,0 +1,29 @@
+"""Integration tests for DSPy adapters using DSPy mock LM."""
+from __future__ import annotations
+
+import dspy
+import pytest
+
+from prometheus.domain.entities import Prompt
+from prometheus.infrastructure.llm_adapter import DSPyLLMAdapter
+
+
+@pytest.fixture
+def mock_lm() -> dspy.LM:
+    """Create a DSPy mock LM that returns predictable responses."""
+    lm = dspy.utils.DummyLM(
+        [
+            {"output": "Mock output response"},
+        ]
+    )
+    dspy.configure(lm=lm)
+    return lm
+
+
+class TestDSPyLLMAdapter:
+    def test_execute_returns_response(self, mock_lm: dspy.LM) -> None:
+        adapter = DSPyLLMAdapter(model="openai/gpt-4o-mini")
+        prompt = Prompt(text="Answer the question.")
+        result = adapter.execute(prompt, "What is 2+2?")
+        assert isinstance(result, str)
+        assert len(result) > 0