ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter9/gaia-experience/demo_documents.py

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+"""Offline demonstration of Experiment 9-2."""
+
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+
+from experience_documents import build_documents, evaluate_retrieval_baselines, write_documents
+
+
+ROOT = Path(__file__).parent
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Experiment 9-2 experience-document extraction")
+    parser.add_argument("--extractor", choices=("fixture", "llm"), default="fixture")
+    parser.add_argument("--model", help="real LLM model; defaults to LLM_MODEL or gpt-5.6")
+    args = parser.parse_args()
+    dataset = json.loads((ROOT / "sample_trajectories.json").read_text(encoding="utf-8"))
+    records = dataset["learning_trajectories"]
+    if args.extractor == "llm":
+        from llm_extractor import OpenAIExperienceExtractor
+        records = OpenAIExperienceExtractor(args.model).extract_all(records)
+    documents = build_documents(records, validated_on="2026-07-24")
+    output_paths = write_documents(documents, ROOT / "output" / "experience_documents")
+    report = evaluate_retrieval_baselines(records, documents, dataset["transfer_cases"])
+
+    print(f"Experiment 9-2: evaluated trajectories -> Markdown experience documents (extractor={args.extractor})\n")
+    for document, path in zip(documents, output_paths):
+        print(f"{document.task_family:<18} sources={len(document.sources)} "
+              f"recommendations={len(document.recommended_strategies)} -> {path.relative_to(ROOT)}")
+    print("\nThree-baseline transfer report:")
+    print(json.dumps(report, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()