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

src/prometheus/application/dto.py

@@ -0,0 +1,47 @@
+"""Data Transfer Objects — configuration and results."""
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+
+@dataclass
+class OptimizationConfig:
+    """Complete configuration for a PROMETHEUS run."""
+
+    # --- Prompt ---
+    seed_prompt: str
+    task_description: str
+
+    # --- Models ---
+    task_model: str = "openai/gpt-4o-mini"
+    judge_model: str = "openai/gpt-4o"
+    proposer_model: str = "openai/gpt-4o"
+    synth_model: str = "openai/gpt-4o"
+
+    # --- Evolution parameters ---
+    max_iterations: int = 30
+    n_synthetic_inputs: int = 20
+    minibatch_size: int = 5
+    perfect_score: float = 1.0
+
+    # --- Reproducibility ---
+    seed: int = 42
+
+    # --- Output ---
+    output_path: str = "output.yaml"
+    verbose: bool = False
+
+
+@dataclass
+class OptimizationResult:
+    """Result of a complete optimization."""
+
+    optimized_prompt: str
+    initial_prompt: str
+    iterations_used: int
+    total_llm_calls: int
+    initial_score: float
+    final_score: float
+    improvement: float
+    history: list[dict[str, Any]] = field(default_factory=list)