Enterprise AI Orchestration Built for Scale

from cuervo import Agent, Orchestrator, Workflow

# Initialize your agents
email_agent = Agent(
    name="email_processor",
    model="gpt-4",
    temperature=0.7
)

data_agent = Agent(
    name="data_analyzer",
    model="claude-3-opus",
    temperature=0.3
)

# Create orchestration workflow
workflow = Workflow([
    email_agent,
    data_agent
])

# Configure agent coordination
orchestrator = Orchestrator(
    workflow=workflow,
    max_concurrent=25,
    timeout=500  # milliseconds
)

# Run multi-agent workflow
result = await orchestrator.execute(
    task="process_customer_inquiries",
    context={"priority": "high"}
)

print(f"✓ Processed {result.count} tasks")
print(f"✓ Completed in {result.time}ms")
print(f"✓ Success rate: {result.success_rate}%")

# Output:
# ✓ Processed 1,247 tasks
# ✓ Completed in 342ms
# ✓ Success rate: 99.8%