partnr
  • Overview
  • partnr chat
    • Table of Contents
    • Executive Summary
    • System Architecture Overview
    • Platform Vision & Use Cases
    • Detailed Module Descriptions
    • Data Flow
    • Security, Privacy, and Compliance
    • Future Enhancements and Roadmap
    • Conclusion
  • Release Note
  • VAULT
    • Overview
    • Platform Vision & Use Cases
    • Key Components
    • Main Function & User Guide
    • System Architecture
    • Term of Services
    • Development Roadmap
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  1. partnr chat

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.

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