Intelligent Conversational Agent with Tool Integration
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Empower your applications with an intelligent conversational agent capable of understanding context and leveraging external tools for real-time information retrieval. This workflow allows for dynamic responses and sophisticated problem-solving.
About This Workflow
This n8n workflow orchestrates a powerful AI agent that can engage in natural conversations while seamlessly utilizing a suite of tools to gather information. At its core, the agent is powered by OpenAI's GPT-4o-mini, ensuring robust language understanding and generation. To maintain context and provide coherent interactions, a windowed buffer memory stores the last 20 messages, allowing the agent to recall past dialogue. The agent is equipped to interact with external data sources through tools like Wikipedia and SerpAPI, enabling it to fetch up-to-date information to answer complex queries. This makes it ideal for building advanced chatbots, virtual assistants, and knowledge-driven applications.
Key Features
- Context-Aware Conversations: Utilizes a sliding window memory to retain and recall recent conversation history for more natural interactions.
- Tool-Augmented Intelligence: Integrates with external APIs like Wikipedia and SerpAPI to fetch real-time data and enrich responses.
- Advanced Language Model: Powered by OpenAI's GPT-4o-mini for sophisticated natural language understanding and generation.
- Flexible Prompting: Designed to define and execute complex tasks based on user input.
- Manual Trigger: Easily initiate conversations and test the agent's capabilities.
How To Use
- Configure 'On new manual Chat Message': This node serves as the trigger for your conversational agent. Activate it manually to start an interaction.
- Set up 'Window Buffer Memory': Configure the
contextWindowLengthparameter to specify how many of the last messages should be remembered (set to 20 in this example). - Connect 'Chat OpenAI': Link this node to your OpenAI account credentials and select the desired model (gpt-4o-mini is used here) and temperature settings for response creativity.
- Integrate Tools: Add and configure nodes like 'Wikipedia' and 'SerpAPI' as needed. Ensure these tools are properly authenticated if required.
- Define 'AI Agent': Connect the trigger, memory, language model, and tools to the 'AI Agent' node. The
textparameter should be set to={{ $json.input }}to pass the user's message. ThepromptTypeis set todefinefor custom task definition. - Connect Tools to Agent: Ensure that the
ai_tooloutput of your chosen tools (e.g., Wikipedia, SerpAPI) is connected to theai_toolinput of the 'AI Agent' node. - Connect Memory and Language Model: Link the
ai_memoryoutput of the 'Window Buffer Memory' node and theai_languageModeloutput of the 'Chat OpenAI' node to their respective inputs on the 'AI Agent' node.
Apps Used
Workflow JSON
{
"id": "8987dccc-c4f6-497f-b2e4-b34354ba18cc",
"name": "Intelligent Conversational Agent with Tool Integration",
"nodes": 10,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8987dccc-c4f6...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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