February 2025
Intermediate
376 pages
9h 25m
Japanese
Content preview from 仕組みからわかる大規模言語モデル 生成AI時代のソフトウェア開発入門
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6
workflow.set_entry_point("Leader")
ワークフローの定義では、各ノードを
add_node
メソッドで追加し、ノード間の遷移を
add_
edge
メソッドと
add_conditional_edges
メソッドで定義しています。
add_conditional_edges
メソッドでは、条件に応じて遷移先を切り替えることができます。例えば、
Evaluator
ノード
では、
router
関数の結果に応じて
Leader
ノードまたは
Tool
ノードに遷移します。
Leader
ノー
ドでは、
next
フィールドの値に応じて
Programmer
、
TestWriter
、
Evaluator
のいずれかのノー
ドに遷移します。
"Finish"
が指定された場合は、終了ノードに遷移します。最後に、
set_
entry_point
メソッドで
Leader
ノードをエントリポイントに設定しています。
ワークフローの実行
ワークフローを実行するには、
compile
メソッドでワークフローをコンパイルし、
invoke
メ
ソッドで初期状態を渡して実行します。
# ワークフローの実行
graph = workflow.compile()
with open("HumanEval.jsonl") as f:
lines = f.readlines()
entries = [json.loads(line) for line in lines]
entry = entries[0]
result = graph.invoke({"messages": ...
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