feat: 完成阶段八 Agent 入口集成（review_agent + dry_run + config）

Author: Stelquis

examples/skills_code_review_agent/config.py

@@ -0,0 +1,124 @@
+# Tencent is pleased to support the open source community by making tRPC-Agent-Python available.
+#
+# Copyright (C) 2026 Tencent. All rights reserved.
+#
+# tRPC-Agent-Python is licensed under Apache-2.0.
+"""Configuration management for the code review agent.
+
+Provides a centralized configuration object that can be loaded from
+CLI arguments, environment variables, or a config file.
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass, field
+from typing import Optional
+
+
+@dataclass
+class ReviewAgentConfig:
+    """Central configuration for the code review agent.
+
+    Attributes:
+        input_source: One of "diff_file", "repo_path", "fixture".
+        input_value: The value for the input source (path or name).
+        output_dir: Directory for output reports.
+        db_path: Path to SQLite database file.
+        sandbox_type: "local", "container", or "cube".
+        sandbox_timeout: Sandbox execution timeout in seconds.
+        sandbox_max_output: Max output size in bytes.
+        sandbox_image: Docker image for container sandbox.
+        dry_run: If True, skip sandbox execution and LLM calls.
+        fake_model: If True, use simulated LLM results.
+        disable_filters: If True, skip all filter checks.
+        model_name: LLM model name (for future use).
+        api_key: API key (for future use, falls back to env var).
+        base_url: API base URL (for future use, falls back to env var).
+        block_all_network: If True, deny all network access in sandbox.
+        max_executions: Maximum script executions per review.
+        max_total_time_ms: Maximum total sandbox time in ms.
+        list_fixtures: If True, list available fixtures and exit.
+        fixtures_dir: Path to fixtures directory.
+    """
+
+    # Input
+    input_source: str = ""
+    input_value: str = ""
+
+    # Output
+    output_dir: str = "."
+    output_json: Optional[str] = None
+    output_md: Optional[str] = None
+
+    # Database
+    db_path: str = "review.db"
+
+    # Sandbox
+    sandbox_type: str = "local"
+    sandbox_timeout: int = 30
+    sandbox_max_output: int = 1_048_576
+    sandbox_image: str = "python:3.12-slim"
+
+    # Execution mode
+    dry_run: bool = False
+    fake_model: bool = False
+
+    # Filter
+    disable_filters: bool = False
+    block_all_network: bool = True
+    max_executions: int = 10
+    max_total_time_ms: float = 60_000.0
+
+    # Model (for future LLM mode)
+    model_name: Optional[str] = None
+    api_key: Optional[str] = None
+    base_url: Optional[str] = None
+
+    # Fixtures
+    list_fixtures: bool = False
+    fixtures_dir: Optional[str] = None
+
+    @classmethod
+    def from_args(cls, args) -> ReviewAgentConfig:
+        """Build config from parsed CLI arguments."""
+        # Determine input source
+        if args.diff_file:
+            input_source = "diff_file"
+            input_value = args.diff_file
+        elif args.repo_path:
+            input_source = "repo_path"
+            input_value = args.repo_path
+        elif args.fixture:
+            input_source = "fixture"
+            input_value = args.fixture
+        else:
+            input_source = ""
+            input_value = ""
+
+        # Resolve API key from env if not provided
+        api_key = args.api_key or os.getenv("TRPC_AGENT_API_KEY", "")
+        base_url = args.base_url or os.getenv("TRPC_AGENT_BASE_URL", "")
+
+        return cls(
+            input_source=input_source,
+            input_value=input_value,
+            output_dir=args.output_dir,
+            output_json=args.output_json,
+            output_md=args.output_md,
+            db_path=args.db_path,
+            sandbox_type=args.sandbox,
+            sandbox_timeout=args.sandbox_timeout,
+            dry_run=args.dry_run,
+            fake_model=args.fake_model,
+            disable_filters=args.disable_filters,
+            model_name=args.model,
+            api_key=api_key or None,
+            base_url=base_url or None,
+            list_fixtures=args.list_fixtures,
+        )
+
+    @property
+    def is_fake_mode(self) -> bool:
+        """True if running in dry-run or fake-model mode."""
+        return self.dry_run or self.fake_model