Intent Parsing and Routing
Understanding User Intent
Every intelligent system must understand what the user wants. Intent Parsing means analyzing user input like text or voice to identify their goal or request clearly. MindCP transforms natural language into structured intents so agents know exactly what action to take.
How Intent Parsing Works
User inputs can be complex or unclear. MindCP breaks down inputs into key parts using advanced natural language processing:
Action
What the user wants to do
check, schedule, buy
Object
The target of the action
portfolio, meeting, asset
Parameters
Extra details or conditions
date, amount, frequency
The system then creates a clear, standardized intent from these parts.
Routing: Sending Intent to the Right Place
Once the intent is ready, Routing decides which AI agent or service should handle it. This routing is flexible and smart, supporting:
Multiple agents specialized in different domains (finance, energy, tasks)
Adjustments based on user preferences or permissions
Backup plans if intent is unclear, like asking for clarification or human help
Intent Parsing and Routing Flow
User Input --> Intent Parsing --> Intent Structure --> Routing --> Agent / Service --> ResponseBenefits
Precision: Understands detailed user requests accurately
Flexibility: Works across many fields and applications
Scalability: Manages many agents and services without confusion
User Experience: Connects users quickly to correct actions or answers
Example Scenario
User says, "Show me my energy usage last month."
The intent parser analyzes the input and identifies the action as show, the object as energy usage, and the parameter as last month.
The routing system directs this intent to the Energy Monitoring Agent, which specializes in handling energy-related queries.
The agent accesses the necessary context and data, compiling the information requested.
The user receives a clear and personalized report about their energy consumption for the previous month.
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