Building Advanced Workflows

In this tutorial, we'll explore how to create more sophisticated workflows in Asgard by incorporating advanced features and components. We'll build on the basic agent created in the previous tutorial and enhance it with additional capabilities.

Prerequisites

Before starting this tutorial, make sure you have:

• Completed the "Building a Basic AI Agent" tutorial
• Familiarity with the Asgard workflow builder
• A basic understanding of AI concepts

Step 1: Start with a Basic Workflow

1. Open your existing basic agent workflow or create a new one
2. Review the current components and connections
3. Identify areas for enhancement

Step 2: Add Memory Management

Memory allows your agent to remember previous interactions:

1. Drag a "Memory Manager" component from the component library
2. Place it between the "Input Processor" and "Response Generator"
3. Configure the memory settings:
   • Memory Type: Choose between short-term, long-term, or hybrid memory
   • Memory Capacity: Set the amount of conversation history to retain
   • Memory Processing: Configure how memories are stored and retrieved

Step 3: Implement Context Awareness

Context awareness helps your agent understand the current conversation state:

1. Drag a "Context Analyzer" component from the component library
2. Connect it to both the "Input Processor" and "Memory Manager"
3. Configure the context settings:
   • Context Extraction: Define what elements to extract from user inputs
   • Context Persistence: Configure how context is maintained across interactions
   • Context Priority: Set rules for prioritizing different context elements

Step 4: Add External Knowledge Integration

External knowledge allows your agent to access information beyond its training data:

1. Drag a "Knowledge Base Connector" component from the component library
2. Connect it to the "Context Analyzer" and "Response Generator"
3. Configure the knowledge base settings:
   • Knowledge Source: Connect to your organization's documents, FAQs, or databases
   • Query Processing: Define how user queries are transformed into knowledge base searches
   • Result Integration: Configure how knowledge base results are incorporated into responses

Step 5: Implement Conditional Logic

Conditional logic allows your workflow to take different paths based on specific conditions:

1. Drag a "Condition" component from the component library
2. Place it at appropriate points in your workflow where decisions need to be made
3. Configure the condition settings:
   • Condition Type: Choose between simple conditions, regex patterns, or AI-based classification
   • Actions: Define what happens when conditions are met or not met
   • Fallback: Configure default behavior when no conditions are met

Step 6: Add Error Handling

Robust error handling ensures your workflow can gracefully manage unexpected situations:

1. Drag an "Error Handler" component from the component library
2. Connect it to components that might generate errors
3. Configure the error handling settings:
   • Error Types: Define the types of errors to catch
   • Recovery Actions: Configure how to recover from different errors
   • User Communication: Set up friendly error messages for end-users

Step 7: Test and Refine

Advanced workflows require thorough testing:

1. Use the "Test" feature to run various scenarios through your workflow
2. Pay special attention to edge cases and unexpected inputs
3. Use the debugging tools to trace the execution path and identify bottlenecks
4. Refine your workflow based on test results

Step 8: Deploy and Monitor

Once your advanced workflow is ready:

1. Deploy it using the "Deploy" button
2. Set up monitoring to track performance metrics
3. Configure alerts for potential issues
4. Collect user feedback for continuous improvement

Next Steps

Congratulations on building an advanced workflow in Asgard! In the next tutorial, we'll explore how to integrate your Asgard workflows with external platforms and services.