Orchestration na Kayan Aiki
Ƙaddamar da kayan aiki na kayan aiki shine yadda ƙirar AI ke tsarawa da sarƙoƙi tare da kayan aikin waje, kamar injunan bincike, masu gudu na lamba, bayanan bayanai, da APIs, don cimma burin matakai masu yawa da kan sa.
Dubawa
Yana juya chatbot wanda kawai yayi magana zuwa wakili wanda zai iya yin abubuwa a zahiri a duniya.
Zurfafa nutsewa
A kan kansa, samfurin harshe yana tsinkayar rubutu kawai. Ƙaddamar da kayan aiki yana ba shi hannu: ana gaya wa ƙirar kayan aikin da ke akwai da tsarin shigar su, sannan ta yanke shawarar abin da za ta kira, a cikin wane tsari, kuma ya ciyar da kowane sakamako a cikin tunaninsa. Ana lura da madauki na yau da kullun, tunani, aiki, maimaitawa, galibi ana tsara shi azaman tsarin ReAct (dali da aiki). Samfurin na iya bincika gidan yanar gizon, gudanar da Python don murƙushe lambobi, bincika bayanan SQL, sannan a kira API ɗin imel, yanke shawarar kowane mataki da ƙarfi dangane da abin da ya zo a baya. Tsarin tsari kamar LangChain, Ƙa'idar Magana ta Model (MCP), da kiran aiki a cikin manyan APIs suna daidaita wannan. ɓangarorin da ke da wuya su ne ingantaccen tsari, murmurewa daga gazawar kiran kayan aiki, guje wa madaukai marasa iyaka, da kiyaye wakili cikin aminci.
Fahimtar Fasaha
Samfurin yana fitar da ingantaccen kiran kayan aiki, yawanci JSON, wanda lokacin gudu ke aiwatarwa; Ana haɗa sakamako zuwa mahallin yayin da sabbin abubuwan lura da ƙirar ke karantawa a juyi na gaba. Wannan rufaffiyar madauki shine injin hukumar. Yaduddukan ƙungiyoyi suna ƙara tsarawa (karya manufa cikin ƙananan ayyuka), ƙwaƙwalwar ajiya (binciken ci gaban matakai), sarrafa kuskure (sake gwadawa ko sake tsarawa kan gazawar), da kuma hanyoyin tsaro (binciken izini kafin ayyuka masu haɗari kamar aika kuɗi ko share fayiloli).
Dabarun Tasiri
Gudu da sikelin
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.
Shiga ku isa
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.
Shawarwari masu haske
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.
Makomar Ƙwararrun Kayan Aikin Aiki
Tsarin tsari yana motsawa daga demos zuwa samarwa. Yi tsammanin daidaitattun ka'idoji kamar MCP don yin kayan aikin toshe-da-wasa a cikin samfura, saitin wakilai da yawa inda wakilai na musamman ke yin haɗin gwiwa, da ɗorewa na dogon lokaci inda wakili ke aiki na sa'o'i akan aikin coding ko bincike. Amincewa, lura, da sarrafawar aminci, gami da amincewar mutum-in-da-madauki don ayyuka masu girma, za su zama abubuwan gating. Yayin da waɗannan suka girma, wakilai za su kula da ayyukan aiki na gaske a cikin haɓaka software, ayyukan abokin ciniki, da nazarin bayanai daga ƙarshe zuwa ƙarshe.
Aiwatar da Gaskiyar Duniya
Wakilai masu lamba kamar Claude Code da GitHub Copilot's mode agents karanta repo, gudanar da gwaje-gwaje, gyara fayiloli, da maimaita har sai wani aiki ya cika.
Wakilan goyon bayan abokin ciniki suna duba oda a cikin bayanan bayanai, duba API ɗin jigilar kaya, kuma suna ba da kuɗi ta kayan aikin biyan kuɗi a cikin tattaunawa ɗaya.
Mataimakan bincike sun haɗa binciken yanar gizo, ɗabo da karanta kafofin, gudanar da ƙididdiga, sannan su haɗa taƙaitaccen taƙaitaccen bayani.
Model Context Protocol yana ƙyale mataimaki guda ɗaya ya haɗa zuwa kayan aikin waje kamar GitHub, Slack, da Google Fitar ta hanyar daidaitaccen keɓancewa.
Hatsari & Tsare-tsare
Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.
Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.
Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.
Taswirar Hanya
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.
Ci gaba da Bincike
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Jagora na gaba
AI Kayan Rubutun
Tambayoyin da ake yawan yi
Menene Orchestration na Kayan Aiki?
Ƙaddamar da kayan aiki na kayan aiki shine yadda ƙirar AI ke tsarawa da sarƙoƙi tare da kayan aikin waje, kamar injunan bincike, masu gudu na lamba, bayanan bayanai, da APIs, don cimma burin matakai masu yawa da kan sa. Yana juya chatbot wanda kawai yayi magana zuwa wakili wanda zai iya yin abubuwa a zahiri a duniya.
Menene ƙungiyar kaɗe-kaɗen kayan aiki ke barin ƙirar harshe yayi?
Ƙaddamar da kayan aiki yana ƙyale samfurin ya yanke shawarar waɗanne kayan aikin waje ne zai yi kira da kuma a wane tsari, yana ba shi damar ɗaukar ayyuka maimakon samar da rubutu kawai.
Menene tsarin ReAct ya tsaya ga?
ReAct yana ba da izinin matakan tunani tare da ayyuka (kiran kayan aiki), barin samfurin yayi tunani, aiki, lura da sakamakon, da ci gaba.
Ta yaya sakamakon kayan aiki zai koma cikin tunanin ƙirar?
Lokacin gudu yana aiwatar da kiran kayan aiki kuma yana ciyar da sakamakon baya cikin mahallin ƙirar, wanda ƙirar ke karantawa akan mataki na gaba, yana rufe madauki.
Menene Yarjejeniyar Magana ta Model (MCP) da aka ƙera don yi?
MCP yana ba da haɗin kai na gama gari don haka mataimaka za su iya shiga cikin kayan aikin kamar GitHub, Slack, ko bayanan bayanai ba tare da haɗin kai na al'ada ga kowane ɗayan ba.
Wane babban kalubale ne wajen gina amintattun wakilai?
Dole ne wakilai su kula da gazawar kayan aiki da alheri, su sake tsara lokacin da matakan suka yi kuskure, kuma su guji yin makale da maimaita ayyuka ba tare da ƙarewa ba.