Simple Agent – Smart Medical Assistant
A flexible Langflow-powered chatbot designed to remember conversations, deliver structured responses, and connect seamlessly with backends or UIs for healthcare and utility applications.
Team
2–3 Members
Duration
2 Months
Technology
Python, Langflow
Product Overview
The Simple Agent is a lightweight, memory-aware AI chatbot designed using Langflow and OpenAI. It offers real-time, conversational interaction while delivering structured responses in JSON format for easy integration with backend systems. Built for flexibility, it allows developers to customize prompts, maintain session memory, and route outputs for various use cases; ranging from healthcare tools to internal support assistants.
How It Works
The chatbot takes user queries in real time, stores former sessions’ data with memory modules, and generates contextual responses with OpenAI. The outputs are ultimately delivered as natural text and JSON outputs, which are readable by humans and consumable by machines. Langflow manages the flow from input to the response, and custom components route the JSON data to connected systems or APIs.
User Cases
- Healthcare Chat Assistants – Guide patients, answer queries, and automate routine interactions.
- Medical Report Builders – Extract structured data from conversations to generate records.
- Internal Workflow Agents – Support doctors or admins with structured task automation.
- Triage Bots – Collect symptoms and prepare JSON reports for pre-diagnosis tools.
- Voice or Text Virtual Agents – Enable omnichannel support with contextual memory.
Benefits
- 85% Faster Triage Processing – Structured data enables faster decision-making.
- Dual Output Format – JSON for backend, natural text for frontend.
- 90% Query Context Retention – Memory ensures responses remain relevant in-session.
- Plug-and-Play Workflow – Quick to deploy with reusable Langflow components.
- Customizable Prompts – Easily adaptable for different medical domains or needs.
- Chat Input Interface – Captures real-time user messages.
- Session Memory Module – Stores and retrieves chat history dynamically.
- Prompt Linker – Connects memory and input into a coherent prompt.
- OpenAI Language Model – Generates conversational replies and data-rich outputs.
- JSON Extractor Node – Converts LLM output into structured format for backend systems.
Challenges
Disconnected Conversations
Without memory, chat responses felt fragmented and lacked context continuity.
Lack of Structured Output
Responses weren’t formatted for backend systems or data usage.
Limited Prompt Control
Developers had minimal flexibility to adjust or fine-tune chatbot behavior.
Missing Logic Routing
Standard chat flows couldn’t handle dual output (user + system).
Solutions
Memory Component Integration
Enabled the chatbot to retain past messages for smoother multi-turn dialogue.
Custom JSON Output Generator
Converted raw OpenAI responses into structured, machine-readable formats.
Prompt + History Fusion
Designed flexible prompts that merge chat input with stored memory.
Dual Output Routing
Sent responses both to the user interface and external systems for backend
Outcome
Technology Stack
Features
The Simple Agent enables intelligent, memory-driven chat with backend-ready responses. Key features include:
Session Memory
Dual Output
Custom Prompts
Backend Connectivity
Modular Flow
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What Our Customers Say
Nino gorgia
SmartDocs
DreamSoft4u delivered an excellent quality of work at pocket-friendly pricing. They agreed to develop an EMR-EHR-PHR solution with our frequent change requests and bug reports during the development phase. But the team stayed polite during the communication and asked for frequent feedback. Working with them was a pleasure, and their hard work is highly appreciated.
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IntouchEMr
Considering DreamSoft4u’s more than 15 years of experience in healthcare software development, I outsourced my mHealth app’s dream project. Not only did they meet my expectations, but they also handed me over a best-in-class mHealth solution competent to combat other contenders in the market. That too at a cost-effective pricing and faster time to market.
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EPIC EMR Integration
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Sniffle
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