Add agentic module: sequential, parallel, loop, supervisor and error-recovery workflows

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01G8ikz8xdWuTP5yun8DZ1hk
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2026-10-11 07:58:09 +00:00
co-authored by Claude Sonnet 5.5
parent f87573fcb8
commit da39f6437a
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Order the agents ran in:
findFlight read [traveler, destination] and wrote AI-101 Mumbai to Lisbon
findHotel read [traveler, destination] and wrote Hotel Alfama
findActivity read [traveler, destination] and wrote Tram 28
write read [hotels, activities, destination, flights] and wrote Fly AI-101, stay at Hotel Alfama, ride Tram 28.
Shared state at the end:
traveler = Ankur
hotels = Hotel Alfama
activities = Tram 28
destination = Lisbon
flights = AI-101 Mumbai to Lisbon
plan = Fly AI-101, stay at Hotel Alfama, ride Tram 28.
The prompt the planner was sent (last model call):
Write a one-line itinerary for Lisbon. Flight: AI-101 Mumbai to Lisbon. Hotel: Hotel Alfama. Activity: Tram 28.
Model calls: 4