AI Agent Overview
Introduction
Momen AI is a powerful no-code platform for building intelligent applications. Create AI agents for customer service, content generation, data analysis, and more using large language models, RAG (Retrieval-Augmented Generation), and tool invocation capabilities. Build sophisticated AI solutions without coding.
How to Use Momen AI
Configure Large Language Model
Choose the right model for your needs. Momen provides GPT family, Gemini family, or you can integrate your own models. You can use 100,000 AI points gifted monthly with Momen hosted models.
Momen Hosted Models
- GPT family
- Gemini family
Bring Your Own Model
Enterprise Feature: Available for paid projects only
Supports OpenAI official platform and self-hosted models (like DeepSeek, Gemini, etc.). Configuration requires:
- Model name and type
- API key or server URL
- Authentication details
Configure Input Parameters
Set up parameters required for AI requests.
- Text-based inputs can be used as variables in prompt template and contexts
- Image and Video inputs will be automatically appended to the end of the prompt.
Write Prompts
Prompts define the AI’s role, task requirements, and constraints. Momen AI provides a structured framework:
Prompt Source Options
- Direct Input: For fixed tasks
- Parameter Reference: For dynamic content, more flexible
- Hybrid Approach: Fixed roles + dynamic content
- Contexts Integration: Retrieve data from database, APIs, or files
Structured Framework
- Task Role: Define AI’s expertise and identity
- Task Details: Specify how AI should perform
- Task Constraints: Set output format, style, and limitations
Configure Contexts
Contexts provide AI with relevant external information to improve response accuracy.
Data Sources
- Database: Select tables and fields from Momen database
- API: Connect to third-party data sources
Performance Note: Context data consumes AI points. Limit data volume and apply filters to balance accuracy with cost efficiency.
Configure Tools
Tools enable AI to perform specific actions like API calls, workflow execution, etc.
Available Tool Types
- Action Flow: Execute complex business logic
- API Calls: Connect to external services
- AI Chaining: Invoke other AI models
- User Interaction: Request additional information
Configure Output
Choose how AI results are formatted:
Output Types
- Text: AI automatically determines best format,Streaming is supported
- Structured: Define structured output schema
Streaming Limitation: Streaming output is for visual display only and cannot be integrated into data flows.
Test and Debug
Use the right panel debug interface to test your AI configuration:
- Input test parameters
- Verify tool integrations
- Check output formats
- Monitor performance metrics
Run AI Agent
Momen AI provides 4 core actions:
-
Start Conversation: Initiate new AI conversations or single requests.
-
Continue Conversation: Continue existing conversations with context preservation. You need to bind previous conversation ID to the action.
-
Delete Conversation: Remove conversation records and related data.
-
Stop Response: Interrupt ongoing AI responses.
You can run AI agent with 2 ways:
- In frontend: Add AI agent action to a target component to start a conversation.
- In backend: Add AI agent node to an Actionflow to run in a flow.
Result Handling
Text mode
- Create a TEXT type page variable to store the result.
- Set the variable to the result data/content on success.
Structured mode
- Create a OBJECT type page variable to store the result.
- Set the variable to the result data/content on success.
Performance and Limits
- Request Timeout: 60 seconds for all AI requests
- Point Management: Billing based on actual token usage
- Performance Optimization: Balance context size with accuracy
Common Use Cases
Customer Service
- Q&A systems based on company documentation
- Multi-language customer support
- Professional assistants for insurance, legal, e-commerce
Content Creation
- Sales script generation
- Social media content creation
- Video script writing
Business Process Automation
- Data analysis reports
- Document processing and summarization
- Workflow optimization
Next Steps
- AI Point Consumption - Understand billing and usage
- Advanced AI Techniques - Explore advanced features
- AI Best Practices - Learn optimization strategies