Dynamically switch between LLMs for AI Agents using LangChain Code — n8n ワークフロー
概要
Dynamically switch between LLMs for AI Agents using LangChain Code
Purpose
This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them.
What it does
This AI workflow takes in customer complaints and generates a response that is being validated before returned. If the answer was not satisfactory, the response will be generated again with a more capable model.
How it works
A LangChain C
使用ノード
ワークフロープレビュー
仕組み
- 1
トリガー
このワークフローは トリガー トリガーで開始します。
- 2
処理
データは 15 個のノードを流れます, connecting chainllm, chattrigger, code。
- 3
出力
ワークフローは自動化を完了し、設定された宛先に結果を配信します。
ノード詳細 (15)
Basic LLM Chain
n8n-nodes-langchain.chainLlm
LangChain Code
n8n-nodes-langchain.code
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Sentiment Analysis
n8n-nodes-langchain.sentimentAnalysis
このワークフローのインポート方法
- 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
- 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
- 3ダウンロードした
dynamically-switch-between-llms-for-ai-agents-using-langchain-codeファイルを選択し、インポートをクリックします。 - 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
- 5ワークフローをテスト をクリックして動作確認し、有効化します。
またはn8nの JSONからインポート に直接貼り付け：
インテグレーション
作成者
Mario
@octionic
タグ
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