Principles & Interactions

The effectiveness of the 4-Tier Multi-Model Architecture depends on well-defined interfaces and clear communication protocols between layers.

Interaction Flow

Ingress: The User sends a query to Tier 1.
Intent & Routing: Tier 1 analyzes the query and identifies the required expertise.
Specialist Call: Tier 1 dispatches a request to one or more Tier 2 specialists.
Knowledge Retrieval: Tier 2 specialists query Tier 3 for specific facts or context needed for their task.
Execution: Tier 2 specialists process the request using the retrieved data.
Synthesis: Tier 1 receives the output from Tier 2, synthesizes it, and presents it to the User.
Observation: Tier 4 logs the entire transaction, collects feedback, and updates metrics.

Core Architectural Principles

1. Separation of Concerns

Each tier should have a single, clear responsibility. Tier 1 should not perform heavy computation; Tier 2 should not handle user-facing conversation logic.

2. Standardized Communication

Use structured data formats (like JSON) for all inter-tier communication. This ensures that different models (potentially from different providers) can work together seamlessly.

3. Graceful Degradation

If a Tier 2 specialist fails or is unavailable, Tier 1 should be able to fall back to a more general model or provide a meaningful error message to the user.

4. Verification Over Trust

Tier 1 should validate the output of Tier 2 specialists before presenting it to the user. Tier 4 should periodically audit the entire pipeline to ensure quality and safety.

5. Data Privacy & Governance

Ensure that data flowing through Tier 3 and 4 is handled according to security policies, with proper sanitization and access controls.

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