Data Flow

Message Processing Flow

1. User Message Submission:

   • A user sends a message via the chat interface.

2. Routing via API Gateway:

   • The message is forwarded to the backend server.

3. Hybrid Inference Processing:

   • The Hybrid Inference Engine selects the appropriate inference backend (OpenAI, Gemini, Anthropic API, local LLM, RAG, or external connector) and processes the message.

4. Quality Scoring:

   • A quality scoring pass evaluates the message concurrently.

5. Response Delivery:

   • The agent’s response is returned to the chat interface.

6. Memory Synchronization:

   • For imported agents, the memory sharing protocol updates the agent’s memory state.

7. Reward Trigger:

   • High-quality messages trigger token rewards via the Reward Distribution Module.