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swarms/examples/multi_agent/orchestration_examples/merger_mediation_session.py

136 lines
4.1 KiB

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)