中文 Best solution LM Teleg prompt

OPTION C (中/EN)

Ask reddit

Technical Architecture Report: Vault Instruction V5 Integration & Automated Deployment Strategy

This report provides an expert-level analysis of integrating Telegram Bots with LM Studio. It addresses the architectural conflicts between large-scale Persona & Play datasets (30+ documents) and complex logic frameworks (Vault V5: 3 bots needed), providing a concrete execution blueprint for IT development teams.


I. Evaluation of Current Proposals

We have evaluated the three proposed options based on Token Efficiency, Logic Integrity, and User Experience (UX).

Option Description Pros Cons Conclusion
Option A Three Independent Bots Maximum logic isolation; prevents instruction interference between stages. Critical UX failure. Requires manual bot switching; context/history is lost; breaks immersion. Not Recommended
Option B Single Mega-Prompt Lowest development overhead; everything fits in one System Prompt. Token Explosion and "Logic Leakage." The model confuses behavioral guidelines across different stages. Not Recommended
Option C RAG-based Persona Retrieval Highest token efficiency; handles massive documentation effectively. Higher technical barrier; retrieval inaccuracies may cause "character drift" or personality instability. Long-term Solution

II. The Core Strategy: State-Aware Dynamic System Prompt Injection

To overcome the limitations of the LM Studio interface, we shift the responsibility of logic management to the Telegram Bot Backend (Middle-tier), which acts as the "Orchestrator."

Architectural Concept: Dynamic Injection

While the LM Studio API provides a single  system_prompt  field, it should not be treated as a static configuration. The backend code must dynamically synthesize the System Prompt based on the user's "Current State."


III. Technical Blueprint: The Middleware Controller Pattern

IT teams should implement the following pattern to ensure scalability and logical consistency.

1. System Architecture Flow