| # Phase 2: Agent-Driven Authentication Implementation Plan |
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| ## 1. Agent Architecture Expansion |
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| ### Create Authentication Agent |
| - Implement a dedicated `auth_agent` specializing in email validation |
| - Define clear instructions for handling email validation attempts |
| - Include capabilities to query the OpenAI Vector Store for registered emails |
| - Add logic for tracking failed attempts and providing appropriate responses |
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| ### Enhance Triage Agent |
| - Modify the `triage_agent` to be authentication-aware |
| - Add logic to identify authentication state for each request |
| - For unauthenticated users, route ALL requests to the `auth_agent` first |
| - Only route to other specialized agents (joke, poem) after authentication success |
| - Implement handoff from authentication to regular conversation |
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| ### User Context Handling |
| - Create a mechanism for storing authenticated user context |
| - Pass user profile information to subsequent agent interactions |
| - Enable agents to personalize responses based on user profile data |
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| ## 2. Technical Implementation Details |
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| ### Agent State Management |
| - Use conversation context to track authentication state |
| - Store attempt counts and authentication status in conversation metadata |
| - Develop pattern for agents to access and update authentication state |
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| ### Vector Store Integration |
| - Have `auth_agent` handle all Vector Store lookups rather than UI layer |
| - Implement prompts for the agent to perform email validation queries |
| - Create structured responses for valid/invalid email states |
| - Add capability for agent to retrieve additional user profile data |
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| ### User Profile Integration |
| - After successful authentication, have `auth_agent` load user profile data |
| - Inject this information into conversation context for other agents |
| - Implement system for agents to reference user-specific information in responses |
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| ## 3. Chat Flow and User Experience |
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| ### Initial Interaction Flow |
| - System initiates chat with greeting requesting email |
| - First user messages are intercepted by triage_agent and routed to auth_agent |
| - Auth_agent processes email validation, returns specific validation responses |
| - Triage agent continues routing to auth_agent until validation succeeds |
| - After validation, triage resumes normal content-based routing |
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| ### Authentication Scenarios |
| - Success: Auth_agent confirms email, loads user profile, informs triage of success |
| - Failure: Auth_agent tracks attempt count, provides appropriate guidance |
| - Lock-out: After 3 failed attempts, auth_agent returns specific lock-out response |
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| ### User Experience Considerations |
| - Maintain conversational flow throughout authentication |
| - Ensure auth_agent provides clear, helpful guidance for email validation |
| - Create smooth transition from authentication to regular agent interaction |
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| ## Implementation Phases |
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| 1. Extend agent system with authentication capabilities |
| 2. Implement Vector Store integration for email validation |
| 3. Add user profile loading and context management |
| 4. Enhance triage routing logic for auth-aware operation |
| 5. Test and refine the authentication flow |
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| This approach fully preserves the agent architecture while adding authentication capabilities through agent specialization and enhanced routing logic. |
