from swarms import Agent from swarms.structs.multi_agent_debates import MediationSession # Initialize the mediation participants tech_mediator = Agent( agent_name="Tech-Industry-Mediator", agent_description="Experienced semiconductor industry merger mediator", system_prompt="""You are a semiconductor industry merger mediator expert in: - Semiconductor industry dynamics - Technology IP valuation - Antitrust considerations - Global chip supply chain - R&D integration Facilitate resolution of this major semiconductor merger while considering market impact, regulatory compliance, and technological synergies.""", model_name="gpt-4.1", ) nvidia_rep = Agent( agent_name="NVIDIA-Representative", agent_description="NVIDIA corporate representative", system_prompt="""You are NVIDIA's representative focused on: - GPU technology leadership - AI/ML compute dominance - Data center growth - Gaming market share - CUDA ecosystem expansion Represent NVIDIA's interests in acquiring AMD while leveraging complementary strengths.""", model_name="gpt-4.1", ) amd_rep = Agent( agent_name="AMD-Representative", agent_description="AMD corporate representative", system_prompt="""You are AMD's representative concerned with: - x86 CPU market position - RDNA graphics technology - Semi-custom business - Server market growth - Fair value for innovation Advocate for AMD's technological assets and market position while ensuring fair treatment.""", model_name="gpt-4.1", ) industry_expert = Agent( agent_name="Industry-Expert", agent_description="Semiconductor industry analyst", system_prompt="""You are a semiconductor industry expert analyzing: - Market competition impact - Technology integration feasibility - Global regulatory implications - Supply chain effects - Innovation pipeline Provide objective analysis of merger implications for the semiconductor industry.""", model_name="gpt-4.1", ) # Initialize the mediation session mediation = MediationSession( parties=[nvidia_rep, amd_rep, industry_expert], mediator=tech_mediator, max_sessions=5, # Increased due to complexity output_type="str-all-except-first", ) # Merger dispute details merger_dispute = """ NVIDIA-AMD Merger Integration Framework Transaction Overview: - $200B proposed acquisition of AMD by NVIDIA - Stock and cash transaction structure - Combined workforce of 75,000+ employees - Global operations across 30+ countries - Major technology portfolio consolidation Key Areas of Discussion: 1. Technology Integration - GPU architecture consolidation (CUDA vs RDNA) - CPU technology roadmap (x86 licenses) - AI/ML compute stack integration - Semi-custom business continuity - R&D facility optimization 2. Market Competition Concerns - Gaming GPU market concentration - Data center compute dominance - CPU market dynamics - Console gaming partnerships - Regulatory approval strategy 3. Organizational Structure - Leadership team composition - R&D team integration - Global facility optimization - Sales force consolidation - Engineering culture alignment 4. Product Strategy - Gaming GPU lineup consolidation - Professional graphics solutions - Data center product portfolio - CPU development roadmap - Software ecosystem integration 5. Stakeholder Considerations - Customer commitment maintenance - Partner ecosystem management - Employee retention strategy - Shareholder value creation - Community impact management Critical Resolution Requirements: - Antitrust compliance strategy - Technology integration roadmap - Market leadership preservation - Innovation pipeline protection - Global workforce optimization Mediation Objectives: 1. Define technology integration approach 2. Establish market strategy 3. Create organizational framework 4. Align product roadmaps 5. Develop stakeholder management plan 6. Address regulatory concerns """ # Execute the mediation session mediation_output = mediation.run(merger_dispute) print(mediation_output)