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AI Agent Architecture: Multi-Agent Systems: Topologies, Protocols, and Shared State — Agents Behind Contracts, Versioned Messages, a Blackboard over ... and Human (The AI Agent Architecture Series) - Softcover
Book 5 of 7: The AI Agent Architecture Series
Synopsis
The workers may guess. The supervisor may not.
Atlas, Meridian Supply Co.'s customer-operations agent, acted through one door by Book 4. Then a reorganisation drew a line through it, and the split that took a day paged the other team at 07:40 with a KeyError in code nobody had changed. This book is what a team of agents needs that a single agent does not — and it builds each piece from an incident, prices it in a table, and proves it with a test.
Every chapter is a lab on the companion repository — one dependency, fully offline with a scripted mock, every listing printed from a verified line range, every command paired with its expected output. Five moves per chapter: Run the demo, Read the listing, Break it with the chapter's planted failure, Fix it with the design move, Prove it with a test that turns green. You will:
- Split Atlas into agents on a wire and read the bill — same answers, same model cost, plus hops, kilobytes, and latency — then put a contract on the seam so a rename is refused by name
- Run the same four agents as a pipeline, under a supervisor, and as a network, and choose the shape from a table with the column pictures hide: how many places must be asked to find a ticket
- Give every message a typed, versioned schema; diff a proposed version and read which peers it breaks; adapt and negotiate between versions
- Fold a blackboard from an append-only event log, replay it to the digest, travel to event forty-nine, and catch the write that went behind the log
- Make the supervisor deterministic code and measure it: the same inbox routed a thousand times, one trace — against a model in the routing seat, a thousand
- Route by a capability registry the agents write; add a specialist with zero orchestrator edits, and prove the zero with a digest
- Reproduce a double claim and a lost update with a deterministic scheduler, and cure them with an atomic claim and a three-way merge
- Instrument the team, catch a ping-pong loop at hop six, and stop a retry storm with a circuit breaker — and measure why retries in two layers multiply
- Put people in the topology as nodes with queues, checks, authority, and SLAs; simulate three rosters on the team's worst week and read the breaches
- Assemble Atlas v0.5 and prove it on outcomes in the world — mail, CRM, refund — with an org chart that is the architecture diagram
Every chapter carries a research lineage (Conway and microservices, Contract Net and Wooldridge, FIPA-ACL and A2A, Hearsay-II and event sourcing, workflow determinism, service discovery and Team Topologies, two-phase locking and CRDTs, Perrow and the flash crash, mixed-initiative and queueing), a five-item failure catalog, an applied deep-dive, and exercises in three tiers. Ten figures, 246 tests, forty-four decision records
Who it's for: engineers scaling from one agent to a cooperating team — anyone who has drawn boxes and arrows for agents and wants to know what each arrow costs, who decides where a message goes, and how to prove afterwards what the team did. Assumes Books 2–4 or the equivalent; basic Python; no framework, no GPU.
The AI Agent Architecture Series is the architect's track: one architectural layer per book, on one running system the reader refactors and grows by hand. This is Book 5, Multi-Agent Systems — the team, designed and proved.
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AI Agent Architecture (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. The workers may guess. The supervisor may not.Atlas, Meridian Supply Co.'s customer-operations agent, acted through one door by Book 4. Then a reorganisation drew a line through it, and the split that took a day paged the other team at 07:40 with a KeyError in code nobody had changed. This book is what a team of agents needs that a single agent does not - and it builds each piece from an incident, prices it in a table, and proves it with a test.Every chapter is a lab on the companion repository - one dependency, fully offline with a scripted mock, every listing printed from a verified line range, every command paired with its expected output. Five moves per chapter: Run the demo, Read the listing, Break it with the chapter's planted failure, Fix it with the design move, Prove it with a test that turns green. You will: Split Atlas into agents on a wire and read the bill - same answers, same model cost, plus hops, kilobytes, and latency - then put a contract on the seam so a rename is refused by nameRun the same four agents as a pipeline, under a supervisor, and as a network, and choose the shape from a table with the column pictures hide: how many places must be asked to find a ticketGive every message a typed, versioned schema; diff a proposed version and read which peers it breaks; adapt and negotiate between versionsFold a blackboard from an append-only event log, replay it to the digest, travel to event forty-nine, and catch the write that went behind the logMake the supervisor deterministic code and measure it: the same inbox routed a thousand times, one trace - against a model in the routing seat, a thousandRoute by a capability registry the agents write; add a specialist with zero orchestrator edits, and prove the zero with a digestReproduce a double claim and a lost update with a deterministic scheduler, and cure them with an atomic claim and a three-way mergeInstrument the team, catch a ping-pong loop at hop six, and stop a retry storm with a circuit breaker - and measure why retries in two layers multiplyPut people in the topology as nodes with queues, checks, authority, and SLAs; simulate three rosters on the team's worst week and read the breachesAssemble Atlas v0.5 and prove it on outcomes in the world - mail, CRM, refund - with an org chart that is the architecture diagramEvery chapter carries a research lineage (Conway and microservices, Contract Net and Wooldridge, FIPA-ACL and A2A, Hearsay-II and event sourcing, workflow determinism, service discovery and Team Topologies, two-phase locking and CRDTs, Perrow and the flash crash, mixed-initiative and queueing), a five-item failure catalog, an applied deep-dive, and exercises in three tiers. Ten figures, 246 tests, forty-four decision recordsWho it's for: engineers scaling from one agent to a cooperating team - anyone who has drawn boxes and arrows for agents and wants to know what each arrow costs, who decides where a message goes, and how to prove afterwards what the team did. Assumes Books 2-4 or the equivalent; basic Python; no framework, no GPU.The AI Agent Architecture Series is the architect's track: one architectural layer per book, on one running system the reader refactors and grows by hand. This is Book 5, Multi-Agent Systems - the team, designed and proved. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798173886170
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AI Agent Architecture
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798173886170
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AI Agent Architecture
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AI Agent Architecture : Multi-Agent Systems: Topologies, Protocols, and Shared State - Agents Behind Contracts, Versioned Messages, a Blackboard over an Event Log, a Deterministic Supervisor, and Human
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AI Agent Architecture (Paperback)
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Paperback. Condition: new. Paperback. The workers may guess. The supervisor may not.Atlas, Meridian Supply Co.'s customer-operations agent, acted through one door by Book 4. Then a reorganisation drew a line through it, and the split that took a day paged the other team at 07:40 with a KeyError in code nobody had changed. This book is what a team of agents needs that a single agent does not - and it builds each piece from an incident, prices it in a table, and proves it with a test.Every chapter is a lab on the companion repository - one dependency, fully offline with a scripted mock, every listing printed from a verified line range, every command paired with its expected output. Five moves per chapter: Run the demo, Read the listing, Break it with the chapter's planted failure, Fix it with the design move, Prove it with a test that turns green. You will: Split Atlas into agents on a wire and read the bill - same answers, same model cost, plus hops, kilobytes, and latency - then put a contract on the seam so a rename is refused by nameRun the same four agents as a pipeline, under a supervisor, and as a network, and choose the shape from a table with the column pictures hide: how many places must be asked to find a ticketGive every message a typed, versioned schema; diff a proposed version and read which peers it breaks; adapt and negotiate between versionsFold a blackboard from an append-only event log, replay it to the digest, travel to event forty-nine, and catch the write that went behind the logMake the supervisor deterministic code and measure it: the same inbox routed a thousand times, one trace - against a model in the routing seat, a thousandRoute by a capability registry the agents write; add a specialist with zero orchestrator edits, and prove the zero with a digestReproduce a double claim and a lost update with a deterministic scheduler, and cure them with an atomic claim and a three-way mergeInstrument the team, catch a ping-pong loop at hop six, and stop a retry storm with a circuit breaker - and measure why retries in two layers multiplyPut people in the topology as nodes with queues, checks, authority, and SLAs; simulate three rosters on the team's worst week and read the breachesAssemble Atlas v0.5 and prove it on outcomes in the world - mail, CRM, refund - with an org chart that is the architecture diagramEvery chapter carries a research lineage (Conway and microservices, Contract Net and Wooldridge, FIPA-ACL and A2A, Hearsay-II and event sourcing, workflow determinism, service discovery and Team Topologies, two-phase locking and CRDTs, Perrow and the flash crash, mixed-initiative and queueing), a five-item failure catalog, an applied deep-dive, and exercises in three tiers. Ten figures, 246 tests, forty-four decision recordsWho it's for: engineers scaling from one agent to a cooperating team - anyone who has drawn boxes and arrows for agents and wants to know what each arrow costs, who decides where a message goes, and how to prove afterwards what the team did. Assumes Books 2-4 or the equivalent; basic Python; no framework, no GPU.The AI Agent Architecture Series is the architect's track: one architectural layer per book, on one running system the reader refactors and grows by hand. This is Book 5, Multi-Agent Systems - the team, designed and proved. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798173886170
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