Add deep_search_agent.py

deep_search_agent.py

@@ -0,0 +1,59 @@
+from __future__ import annotations
+
+import argparse
+from dataclasses import dataclass, field
+from pathlib import Path
+
+
+def web_search(query: str) -> str:
+    """Deterministic demo search tool; replace with a real search API if needed."""
+    return (
+        f"Search results for {query}: LangGraph helps build stateful agents; "
+        "Deep Agents combine planning, tools, memory, and file writing."
+    )
+
+
+@dataclass
+class ScratchDeepAgent:
+    virtual_files: dict[str, str] = field(default_factory=dict)
+
+    def plan(self, task: str) -> list[str]:
+        return [
+            f"Сформировать поисковый запрос по теме: {task}",
+            "Собрать краткую справку через web_search",
+            "Сохранить результат в виртуальный файл",
+            "Выгрузить виртуальные файлы на диск",
+        ]
+
+    def run(self, task: str) -> str:
+        steps = self.plan(task)
+        evidence = web_search(task)
+        report = "# Search report\n\n" + "\n".join(f"- {step}" for step in steps)
+        report += f"\n\n## Evidence\n\n{evidence}\n"
+        self.virtual_files["report.md"] = report
+        self.virtual_files["notes.txt"] = evidence
+        return report
+
+    def flush_files(self, output_dir: str = "agent_output") -> list[Path]:
+        root = Path(output_dir)
+        root.mkdir(parents=True, exist_ok=True)
+        written: list[Path] = []
+        for name, content in self.virtual_files.items():
+            path = root / name
+            path.write_text(content, encoding="utf-8")
+            written.append(path)
+        return written
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("task", nargs="*", default=["LangGraph agents"])
+    args = parser.parse_args()
+    agent = ScratchDeepAgent()
+    print(agent.run(" ".join(args.task)))
+    for path in agent.flush_files():
+        print(f"written: {path}")
+
+
+if __name__ == "__main__":
+    main()