Nusiwo ƒewo ƒe wɔwɔme-grade concurrency fia mí tso AI dɔwɔlawo tutu ŋu

\u003ch2\u003eƑe kawoe ƒe wɔwɔme-grade ƒe ɣeyiɣi ɖeka me nɔnɔ fia mí tso AI dɔwɔlawo tutu ŋu\u003c/h2\u003e \u003cp\u003eNyati sia na gɔmesese veviwo kple nyatakaka tso eƒe tanya ŋu, si kpena ɖe sidzedze mama kple gɔmesese ŋu.\u003c/p\u003e \u003ch3\u003eNu vevi siwo wotsɔna yia teƒe bubuwo\u003c/h3\u003e \u003cp\u003eNuxlẽlawo ateŋu akpɔ mɔ be yewoakpɔ viɖe:\u003c/p\u003e \u003cul\u003e \u003cli\u003eNya si ŋu woƒo nu tsoe gɔmesese deto\u003c/li\u003e \u003cli\u003eDɔwɔwɔ ŋutɔŋutɔ kple xexeame ŋutɔŋutɔ ƒe vevienyenye\u003c/li\u003e \u003cli\u003eEŋutinunyalawo ƒe nukpɔsusuwo kple numekuku\u003c/li\u003e \u003cli\u003eNyatakaka yeye siwo ku ɖe ŋgɔyiyi siwo le edzi yim fifia ŋu\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003eAsixɔxɔ ƒe Nyagbɔgblɔ\u003c/h3\u003e \u003cp\u003eNyatakaka nyuiwo abe esia ene kpena ɖe sidzedze tutuɖo ŋu eye wòdoa nyametsotsowɔwɔ si ŋu wonya nu tsoe ɖe ŋgɔ le akpa vovovowo me.\u003c/p\u003e

Nyabiase Siwo Wobiana Enuenu

Nukae nye nusɔsrɔ̃ gãtɔ tso production-grade concurrency si ku ɖe AI dɔwɔlawo ŋu?

Nusɔsrɔ̃ vevitɔ kekeake enye ɖoɖowɔwɔ na kpododonu ƒe vovototodedeameme. Le ɖoɖo siwo wowɔna le ɣeyiɣi ɖeka me me la, ka ɖeka si mewɔa nu gbegblẽ o ateŋu agblẽ nɔnɔme si woama kple cascade ƒe kpododonuwo le dɔwɔwɔ bliboa me. AI dɔwɔlawo dzea ŋgɔ afɔku mawo ke — dɔwɔnu ɖeka yɔyɔ si mesɔ o, API blewu, alo dɔ sue si mewɔ ɖeka o ate ŋu atɔ te pɔmpi bliboa. Mɔ̃ɖaŋudɔwɔla bibiwo zãa nutomeʋuʋu ƒe mɔ̃wo, ɣeyiɣi ƒe nuwuwu, kple fli siwo woɖo seɖoƒe na. Ele be kpɔɖeŋu siawo ke nanye gɔmeɖoanyi ne wole ɖoɖo wɔm ɖe dɔwɔwɔ ƒe ɖoɖo siwo me dɔwɔla geɖe le ŋu, ke menye emegbe susu siwo wotsɔ bolted on emegbe o.

Aleke megbenyaƒoɖeamenu dzikpɔkpɔ ɖea egɔme tso ɖoɖo siwo wowɔna ɖekae me yia AI agent pipelines me?

Amegbenyaƒoɖeamenu xea mɔ na nuwɔla siwo zɔna kabakaba be woagaɖu nuƒlela siwo le blewu dzi o — nukpɔsusu si wodo kpɔ le aʋa me le gbedasiwo ƒe fliwo kple async runtimes me. Le AI agent systems me la, esia fia be woaxe mɔ ɖe alesi gbegbe parallel subagents spawn le ɣeyiɣi ɖeka me nu, aɖo seɖoƒe na LLM API yɔyɔwo, eye woaɖo dɔwɔnu yɔyɔwo ɖe fli me le nunya me. Ema manɔmee la, èkpɔa dzesi ƒe gazazã siwo si dzo, API ƒe seɖoƒe ƒe vodadawo, kple ɣeyiɣi didi ƒe dzidziɖedzi si womate ŋu agblɔ ɖi o. Mɔ̃wo abe Mewayz, siwo ƒoa asitsatsa ƒe modules 207 nu ƒu ɖe $19/mo ta, wɔa ɖoɖowɔɖi si nya nu tso nunɔamesiwo ŋu ma tɔgbe ŋudɔ be dɔwɔnu geɖe ƒe dɔwɔwɔ ƒe ɖoɖowo nali ke le agba te.

Nukatae AI agent frameworks bua ŋkuléleɖenuŋu ƒe vevienyenye nu tsɛe zi geɖe?

Concurrency veterans nya be nusi màte ŋu alé ŋku ɖe eŋu o la, màte ŋu aɖɔe ɖo o. Duɖimekeke ƒe nɔnɔmewo kple mɔxexeɖenu le ɖoɖo siwo woma me xɔ ŋkɔ be esesẽ be woagbugbɔ adzi — AI dɔwɔla ƒe kpododonuwo ma nɔnɔme ma ke si menye nusi woɖo ɖi o. Nuŋlɔɖi si woɖo ɖe ɖoɖo nu, trace ID siwo kplɔa dɔwɔwɔ ɖo le agent hops me, kple latency histograms le dɔwɔnu yɔyɔ ɖesiaɖe me le vevie tso ŋkeke gbãtɔ dzi. Dɔwɔlawo tutu dɔwɔnu sia manɔmee sɔ kple dɔwɔwɔ ƒe dɔwɔƒe si me ŋkuléleɖenuŋu aɖeke mele o — mlɔeba nane gblẽ eye mènya nusitae o.

Concurrency ƒe ɖoɖo kae woate ŋu azã tẽ wu ne wole dɔwɔla geɖe ƒe ɖoɖo siwo ŋu kakaɖedzi le tum egbea?

Dzikpɔla ƒe ati ƒe nɔnɔme, si Erlang/OTP na wòxɔ ŋkɔ la, woateŋu aʋli nya be eyae nye esi woateŋu atsɔ ayi teƒe bubu wu. Dɔdzikpɔla léa ŋku ɖe ɖevi dɔwɔlawo ŋu eye wòwɔa gbugbɔgadzedze ƒe mɔnu si woɖe fia ŋudɔ ne ɖeka dze anyi — enaa ɖoɖoa daa gbe le eɖokui ŋu amegbetɔ ƒe nudede eme manɔmee. Esia ɖea vi na dɔwɔnu geɖe ƒe ɖoɖowo: saŋkuƒola ƒe dɔwɔla léa ŋku ɖe dɔwɔƒe sue tɔxɛwo ŋu, egadzea agbagba be yewoado kpo nu ɣeyiɣi kpui aɖe, eye wòdoa vodada siwo nɔa anyi ɖaa ɖe ŋgɔ. Ne èle dɔwɔwɔ ƒe ɖoɖo siwo ŋu agent-powered tum ɖo le platform abe Mewayz (207 modules, $19/mo) ene la, dɔwɔnu ma tsɔtsɔ kpe ɖe supervisor-style orchestration layer ŋu ​​naa nuwɔwɔ ƒe kakaɖedzi nyona ɖe edzi ŋutɔ.

ƒe nyawo