update docs #33
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update docs #33
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…な説明と必要な出典を添えたドキュメントが望ましいです。以下の前提を考慮してください。 --- - data/: 仮想システム KABUTO のドキュメント。LLM が事前情報で解決できないことを証明するために架空のシステムのデータを生成している。FAQやドキュメントなどを配置している - notebooks: jupyter lab で簡単に実行できるサンプル集。実行例と合わせて確認できる。主に説明目的 - scripts: ターミナルから実行できるスクリプト。 - template_langgraph.agents: 各種エージェントのユースケース - kabuto_helpdesk_agent: prebuilt な関数を使った簡易サンプル。初手はこれを読んで欲しい - chat_with_tools_agent: kabuto_helpdesk_agent とほぼ同様の処理を実装している tool call agent。ワークフローの実装や基礎的な LangGraph の関数の説明目的 - issue_formatter_agent: structured output で構造化データに変換するサンプル - task_decomposer_agent: AI Agent の planning タスクの部分的な実装 - supervisor_agent: supervisor パターンを langgraph supervisor パッケージを使って簡易実装したもの - template_langgraph.llms: LLM の API wrapper 群 - template_langgraph.tools: AI Agent が tool calling する際の tool 群 - template_langgraph.utilities: ユーティリティライブラリ
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What this PR does / why we need it
Which issue(s) this PR fixes:
Fixes #32
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