release: cut 0.2.0 baseline

cross_eval/models.py

@@ -16,6 +16,7 @@ class AgentConfig:
     system_prompt: Optional[str] = None
     reasoning_effort: Optional[str] = None
     stdin_mode: bool = False
+    agentic: bool = False  # run in worktree, capture git diff instead of stdout
 
 
 @dataclass
@@ -43,15 +44,29 @@ class PhaseConfig:
     consecutive_pass: int = 1  # stop after N consecutive PASSes
 
 
+@dataclass
+class ExecutionConfig:
+    """Runtime execution policy for agent subprocesses."""
+
+    mode: str = "agent-decides"
+    command_policy: str = "broad"
+    inherit_env: bool = True
+    auto_env_files: list[str] = field(default_factory=lambda: [".env", ".env.local"])
+    env_files: list[str] = field(default_factory=list)
+    expose_env_names: bool = True
+    auto_context_targets: list[str] = field(default_factory=list)
+
+
 @dataclass
 class PipelineConfig:
     """Full cross-eval configuration."""
 
-    output_dir: Path = field(default_factory=lambda: Path("output"))
+    output_dir: Path = field(default_factory=lambda: Path(".cross-eval/output"))
     max_iterations: int = 3
     min_iterations: int = 1
     verbose: bool = False
     language: str = "en"  # "en" or "ko"
+    execution: ExecutionConfig = field(default_factory=ExecutionConfig)
     inputs: dict[str, Path | str] = field(default_factory=dict)
     agents: dict[str, AgentConfig] = field(default_factory=dict)
     coders: list[str] = field(default_factory=list)
@@ -118,3 +133,4 @@ class PipelineResult:
     run_dir: Optional[Path] = None
     repeated_aggregate_warnings: list[str] = field(default_factory=list)
     escalated_issues: list[str] = field(default_factory=list)
+    agentic_branch: Optional[str] = None