Multi-Agent Design Patterns: Production Mein Kaam Karne Wale Chaar
Sequential, Orchestrator-Worker, Hierarchical aur Dynamic Handoff — 2026 ki production mein use ho rahe chaar multi-agent patterns aur har ek ka LangGraph implementation guide.
Hissa 01 · Patterns Kyun Aham Hain
Galat pattern chunna mehnga kyun parta hai
Galat pattern par bana multi agent system openly fail nahi hota — yeh slowly ship hota hai, mehnga chalta hai aur intermittently aise tareeqe se tootta hai jinhein dobara reproduce karna mushkil hai.
Foran Jawab
Chhota jawab: Multi agent design patterns yeh define karte hain ke agents kaise communicate, coordinate aur state pass karte hain. Aap jo pattern chunte hain wahi system ki cost, reliability aur debuggability decide karta hai. Galat chuna to project ka baqi waqt coordination bugs se larte gay.
2026 mein 57 percent enterprises multi agent workflows deploy karte hain, lekin zyada tar inhein ad hoc tareeqe se banate hain — agents agents ko call kar rahe hain, message queues upar se laga di gayi hain, state aise tareeqe se pass ho rahi hai jo pehli paanch calls ke liye sahi tha lekin saath veen par toot jata hai. Production incidents tqareeban hamesha model ke masle se nahi balki coordination pattern ke masle se trace hote hain.
Achhi khabar: chaar patterns hain jo production ke multi agent use cases ki bari majority ko cover karte hain. Build shuru karne se pehle yeh jaan lena ke aap ke masle ke liye kaun sa fit hai weeks ka architectural rework bachata hai.
Hissa 02 · Pattern 1
Sequential: linear pipelines jahan order matter karta hai
Sequential pattern ek chain hai: Agent A chalta hai, apni output Agent B ko pass karta hai, jo apni output Agent C ko pass karta hai. Har step pichle saare steps ki outputs tak access kar sakta hai. Koi parallelism nahi. Koi routing decision nahi. Graph design time par fixed ho jata hai.
Kab istemaal karein
Jab har step pichle ki output par depend kare, workflow predictable ho aur branch na kare, aur simplicity aur debuggability throughput se zyada important hon. Document processing pipelines — ingest, extract, classify, summarize, store — is ki canonical example hain.
Kab na karein
Jab steps ek doosre se independent hon aur parallel chal saktay hon. Independent steps ko sequentially chalana waqt zaya karta hai aur bina faiday ke latency barhata hai. Agar A, B aur C ek doosre par depend nahi karte to orchestrator worker pattern istemaal karein.
Hissa 03 · Pattern 2
Orchestrator worker: independent subtasks ka parallel dispatch
Orchestrator worker pattern mein ek central orchestrator hota hai jo goal ko independent subtasks mein torta hai, unhein parallel mein specialized workers ko dispatch karta hai, results ka intezar karta hai, aur ek final output synthesize karta hai. Wall clock time sab se slow subtask ka runtime hota hai, na ke saari subtasks ka total.
Kab istemaal karein
Jab goal ko aisi independent subtasks mein decompose kiya ja sake jo ek doosre ki outputs par depend nahi karti. Research workflows — 10 sources se ek saath data gather karna, phir synthesize karna — is ki canonical example hain. Orchestrator 10 retrievals ko sequence ke bajaye parallel dispatch karta hai.
Kab na karein
Jab subtasks interdependent hon aur order mein execute karna zaroori ho. Orchestrator worker coordination overhead barhata hai — orchestrator ko saare workers ki state track karni parti hai, partial failures handle karni parti hain aur synthesis manage karni parti hai. Linear workflows ke liye sequential simpler aur barabar tez hai.
LangGraph mein ise Send API se implement karte hain: orchestrator node typed messages ek saath bhej kar worker nodes ki taraf fan out karta hai. Synthesis node chalne se pehle graph saare responses ko shared state mein collect kar leta hai. Yeh ab standard implementation pattern hai — custom message passing infrastructure ki ab zaroorat nahi.
Hissa 04 · Pattern 3
Hierarchical: complex multi domain workflows ke liye supervisor agents
Hierarchical pattern orchestrator aur workers ke darmiyan supervisor agents introduce karta hai. Top level orchestrator domain supervisors ko delegate karta hai. Har supervisor apne domain ke workers ko manage karta hai. Results hierarchy ke zariye wapis top level synthesizer tak jate hain.
Kab istemaal karein
Jab masla mukhtalif domains par phaila ho — masalan legal research, financial analysis aur technical evaluation — jahan har domain ke paas specialized tools hon aur domain specific reasoning chahiye ho. Flat orchestrator worker structure mein orchestrator ko teenon domains samajhne parenge. Hierarchical structure domain specific samajh ko domain supervisors par chhor deta hai.
Kab na karein
Jab workflow single domain ka ho aur extra hierarchy capability barhaye baghair sirf coordination kharcha barha rahi ho. Hierarchical systems debug karna nazar aane se zyada complex hota hai: kisi worker mein failure supervisor level par ambiguous error ki tarah surface ho sakti hai. Hierarchy sirf tab introduce karein jab masle ki complexity isse justify kare.
Hissa 05 · Pattern 4
Dynamic handoff: badalte context par mabni runtime routing
Dynamic handoff agents ko ijazat deta hai ke woh runtime par conversation ya task ki state ki bunyad par doosre agents ko control transfer karein — bina fixed graph ke. Agent har step par maujooda context ki bunyad par decide karta hai ke agla step kaun handle kare.
Kab istemaal karein
Jab workflow ko design time par mukammal define na kiya ja sake kyun ke agla step intermediate results par depend karta hai. Customer service agents jo issue type aur severity ki bunyad par specialized agents ki taraf route karte hain is ki canonical example hain. Routing logic graph structure mein nahi balki model ki reasoning mein rehti hai.
Kab na karein
Jab routing logic ko fixed graph ke tor par express kiya ja sake. Dynamic routing taqatwar hai lekin unpredictability paida karta hai: ise exhaustively test karna mushkil, audit karna mushkil aur jab model unexpected route le to debug karna bhi mushkil. Jab mumkin ho fixed patterns ko prefer karein aur dynamic handoff sirf tab istemaal karein jab flexibility zaroori ho.
Hissa 06 · Implementation
LangGraph: chaaron patterns ka production default
LangGraph chaaron patterns ko natively implement karta hai. Sequential chains seedhi linear graph edges par map hoti hain. Orchestrator worker parallel dispatch ke liye Send API istemaal karta hai. Hierarchical architectures levels ke darmiyan typed state boundaries ke saath subgraphs istemaal karte hain. Dynamic handoff conditional edges istemaal karta hai jo runtime par state values ke hisab se route karte hain.
Wo aham properties jo LangGraph ko production default banati hain: typed state (aap ghalti se agents ke darmiyan malformed data pass nahi kar sakte), built in persistence (agent ki state process restarts ke baad bhi maujood rehti hai), aur checkpoint system (aap kisi bhi run ke kisi bhi step ko inspect, debug aur replay kar sakte hain). Yehi woh features hain jo subah 3 baje production mein kuch ghalat hone par kaam aati hain.
Yeh patterns ek mukammal production agentic AI architecture mein kaise fit hote hain, is ke liye meri agentic AI consulting service dekhein jo orchestration design ko full system delivery ke hissay ke tor par cover karti hai.
FAQ
Aksar Poochay Janay Walay Sawalat
2026 mein aham multi agent design patterns kaun se hain?
Chaar canonical patterns hain: sequential (ordered pipeline), orchestrator worker (parallel dispatch), hierarchical (supervisor agents jo worker agents ko manage karte hain) aur dynamic handoff (context par mabni runtime routing). LangGraph chaaron ko natively support karta hai aur 2026 ka production default framework hai.
Orchestrator worker pattern kab istemaal karein?
Orchestrator worker tab istemaal karein jab aap ka goal aisi independent subtasks mein decompose ho sake jo ek doosre ki outputs par depend nahi karti. Yeh pattern subtasks ko parallel chalata hai aur kul wall clock time ko sab se slow subtask ke runtime tak laata hai, na ke saari subtasks ke total tak. Research workflows, content generation pipelines aur parallel data enrichment aam use cases hain.
Hierarchical aur orchestrator worker multi agent systems mein kya farq hai?
Orchestrator worker mein do levels hain: orchestrator aur workers. Hierarchical mein teen ya zyada levels hain: top level orchestrator, domain level supervisors aur workers. Jab masla mukhtalif domains par phaila ho aur har domain ko specialized reasoning aur tooling chahiye ho to hierarchical istemaal karein. Sada parallel dispatch ke liye orchestrator worker istemaal karein.
LangGraph mein multi agent patterns ko kaise implement karein?
LangGraph sequential patterns ko linear graph edges ke tor par, orchestrator worker ko parallel fan out ke liye Send API istemaal karte hue, hierarchical patterns ko typed state boundaries wale subgraphs istemaal karte hue, aur dynamic handoff ko conditional edges istemaal karte hue implement karta hai jo runtime par state evaluate karte hain. Shared typed state object key hai: tamam agents ek hi typed structure se parhte aur likhte hain.
Aksar Pochay Janay Walay Sawaal
- 2026 mein main multi-agent design patterns kon kon se hain?
- Chaar standard patterns hain: Sequential (ordered pipeline), Orchestrator-Worker (parallel dispatch), Hierarchical (supervisor agents worker agents ko chalate hain), aur Dynamic Handoff (context ke hisaab se runtime routing). LangGraph in chaaron ko natively support karta hai aur 2026 mein production ka default framework hai.
- Orchestrator-Worker pattern kab use karna chahiye?
- Jab aap ka goal aise independent sub tasks mein toot sake jo ek doosre ke output par depend nahi karte. Yeh pattern sub tasks ko parallel chalata hai, jis se total wall clock time slowest sub task ke barabar reh jata hai, na ke sab sub tasks ka jor.
- Hierarchical aur Orchestrator-Worker mein kya farq hai?
- Orchestrator-Worker do levels ka hota hai: ek orchestrator aur workers. Hierarchical mein teen ya zyada levels hote hain: top-level orchestrator, domain level supervisors aur workers. Jab problem multiple distinct domains par phaila ho aur har ek ko apna reasoning aur tooling chahiye ho, tab hierarchical sahi rehta hai.
- LangGraph mein in patterns ko kaise implement karein?
- LangGraph Sequential ko linear graph edges se, Orchestrator-Worker ko Send API ke through parallel fan out se, Hierarchical ko typed state boundaries wale subgraphs se, aur Dynamic Handoff ko runtime mein state evaluate karne wale conditional edges se implement karta hai.