New Sales Scenario Dialogue Simulation Assistant

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A multi-agent scenario dialogue where each agent plays different roles with different tones, for new salesperson (local life services as example) script practice and scenario simulation, improving new sales script expression and scenario response capabilities.

Created three agents playing (boss, boss's wife, boss's child). Base environment: Python 3.8+ (UTF-8 encoding support required). Communication: gRPC (underlying Agent-core communication). LLM: Zhipu GLM-4.7 (dialogue generation core). Extensions: OpenAgents official Mod ecosystem (sales recognition, script templates, tone enhancement, message storage). Realistic personas: Breaking single agent flat responses, splitting roles by 'tricky boss - gentle wife - mischievous child' real personas for more realistic interactions. Mod precise triggering: sales_detect Mod as core switch, only triggering special interactions for sales scenarios, avoiding mistaken responses to regular customers. Lightweight implementation: No custom code needed, just Mod and prompt configuration for multi-role collaboration, lowering beginner development barrier.

Husband handles analysis and judgment of different scripts for different scenarios, then replies to salespeople. Three agents collaborate and judge each other.