I-Leveraging Agent AI ye-DevOps Automation ngeKiro kunye neLangChain
Intshayelelo
Kwimeko yanamhlanje ekhawulezayo yophuhliso lwesoftware, amaqela e-DevOps ahlala efuna iindlela zokuphucula ukusebenza kakuhle kunye nokuthembeka kokuhlanganiswa kwabo okuqhubekayo kunye nemibhobho yokuhambisa (CI/CD) ngokuqhubekayo. Enye indlela ethembisayo kukunyusa i-AI ye-agenti, eyenza ukudalwa kwee-arhente ezikrelekrele ezinokuthi zizenzele kwaye zandise imisebenzi ye-DevOps. Kule nqaku, siza kuhlolisisa indlela yokuphumeza i-AI-powered agents usebenzisa i-Kiro kunye ne-LangChain, izikhokelo ezimbini ezinqamlekileyo eziguqula intsimi ye-DevOps automation.
Yintoni iAgent AI?
I-Agentic AI ibhekisa kuhlobo lobukrelekrele bokwenziwa obuyilelwe ukwenza imisebenzi ngokuzimeleyo, njengearhente engumntu. Kumxholo we-DevOps, i-AI ye-agent ingasetyenziselwa ukuzenzekelayo imisebenzi efana nokwakha, ukuvavanya, kunye nokuhambisa usetyenziso lwesoftware. Ngokusebenzisa umatshini wokufunda kunye neendlela zendalo zokusetyenzwa kolwimi (NLP), iiarhente ze-AI zinokufunda kumava kwaye zilungelelanise nokutshintsha kweemeko, zizenze zilungele ukuhamba komsebenzi onzima kunye noguquguqukayo weDevOps.
Ukwazisa iKiro kunye neLangChain
I-Kiro kunye neLangChain ziziseko ezimbini ezivulekileyo zemithombo eyenzelwe ngokukodwa ukwakha iinkqubo ze-AI ze-agetic. I-Kiro yinkqubo-sikhokelo esekelwe kwi-Rust ebonelela ngeqonga eliqinileyo kunye ne-scalable yokwakha ii-agent ezihlakaniphile, ngelixa i-LangChain iyisakhelo esisekelwe kwi-Python egxile kwi-NLP kunye nokuqonda kolwimi.
Kiro: Isakhelo esisekwe ngumhlwa sokwakha iiarhente ezikrelekrele
I-Kiro yinkqubo-sikhokelo yanamhlanje esekwe kwiRust ebonelela ngeqonga elibanzi lokwakha iiarhente ezikrelekrele. NgeKiro, abaphuhlisi banokwenza ii-arhente ezinokusebenzisana neenkqubo ezahlukeneyo, iinkonzo, kunye nemithombo yedatha, kwaye benze imisebenzi efana nale:
- Ukuzihambela komsebenzi kunye neenkqubo
- Ukuhlalutya idatha kunye nokwenza izigqibo
- Ukunxibelelana nabantu kunye nezinye iinkqubo
Uyilo lwe-Kiro lwenzelwe ukuba lube lula kwaye lube bhetyebhetye, luyenze ibe lolona khetho lufanelekileyo kwiiprojekthi ezinkulu zeDevOps ezizenzekelayo.
LangChain: Isakhelo esekwe kwiPython ye-NLP kunye noKuqondwa koLwimi
I-LangChain yinkqubo esekelwe kwi-Python egxile kwi-NLP kunye nokuqonda ulwimi. NgeLangChain, abaphuhlisi banokudala ii-arhente ezinokuqonda kwaye zivelise ulwimi olufana nomntu, kwaye benze imisebenzi efana nale:
- Ukusetyenzwa kolwimi lwendalo (NLP)
- Uhlalutyo lwesicatshulwa kunye nohlalutyo lweemvakalelo
- Ukuguqulelwa kolwimi kunye nesizukulwana
I-architecture yeLangChain yenzelwe ukuba ibe yimodyuli ephezulu kwaye yandiswe, iyenze ibe lolona khetho lufanelekileyo lokwakha i-NLP yesiko kunye namandla okuqonda ulwimi.
Ukuphumeza i-AI-Powered Agents ngeKiro kunye neLangChain
Ukubonisa amandla e-Kiro kunye neLangChain, makhe siqwalasele umzekelo olula wokwakha i-agent ye-AI eyenza i-automate CI / CD pipeline. Kulo mzekelo, siya kusebenzisa i-Kiro ukwenza i-agent engakwazi ukusebenzisana ne-Git repository, ukwakha nokuvavanya ikhowudi, kunye nokuhambisa isicelo kwi-platform yefu.
Nantsi ibhloko yekhowudi elula ebonisa indlela yokwenza i-arhente ye-Kiro eyenza ngokuzenzekelayo umbhobho we-CI/CD:
ngenisa kiro
ukusuka langchain ukungenisa LLAMA
iarhente = kiro.Agent(
igama="ci_cd_arhente",
inkcazelo="Izizenzekela CI/CD umbhobho",
izenzo=[
kiro.Action(
igama = "git_clone",
inkcazelo="Ivala indawo yokugcina iGit",
ikhowudi="""
ngenisa i-git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igama = "yakha",
description="Yakha ikhowudi",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "yakha"])
"""
),
kiro.Action(
igama = "uvavanyo",
definition="Yenza iimvavanyo",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "uvavanyo"])
"""
),
kiro.Action(
igama = "hambisa",
definition="Usebenzisa inkqubo",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "deploy"])
"""
)
]
)
# Yenza imodeli yeLLAMA yeLangChain
llama = LLAMA (
igama = "llama_model",
definition="LLAMA imodeli yokuqonda ulwimi",
ikhowudi="""
ngenisa i-langchain
imodeli = langchain.LLAMA(
igama = "llama_model",
definition="LLAMA imodeli yokuqonda ulwimi",
ikhowudi="""
ngenisa i-langchain
imodeli = langchain.LLAMA(
igama = "llama_model",
definition="LLAMA imodeli yokuqonda ulwimi",
ikhowudi="""
def inkqubo_okubhaliweyo (okubhaliweyo):
# Yenza isicatshulwa usebenzisa imodeli yeLLAMA
buyisela okubhaliweyo
"""
)
"""
)
"""
)
# Yenza iarhente yeKiro esebenzisa imodeli yeLLAMA yeLangChain
iarhente = kiro.Agent(
igama="ci_cd_arhente",
inkcazelo="Izizenzekela CI/CD umbhobho",
izenzo=[
kiro.Action(
igama = "git_clone",
inkcazelo="Ivala indawo yokugcina iGit",
ikhowudi="""
ngenisa i-git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igama = "yakha",
description="Yakha ikhowudi",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "yakha"])
"""
),
kiro.Action(
igama = "uvavanyo",
definition="Yenza iimvavanyo",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "uvavanyo"])
"""
),
kiro.Action(
igama = "hambisa",
definition="Usebenzisa inkqubo",
ikhowudi="""
inkqubo engaphantsi komhlaba
subprocess.run(["yenza", "deploy"])
"""
)
],
language_model=llama
)
# Qhuba iarhente
arhente.run()
Le khowudi yekhowudi ibonisa indlela yokwenza i-agent ye-Kiro eyenza ngokuzenzekelayo umbhobho we-CI / CD usebenzisa imodeli ye-LangChain LLAMA yokuqonda ulwimi. I-arhente inokunxibelelana ne-Git repository, yakha kwaye ivavanye ikhowudi, kwaye ithumele isicelo kwiqonga lelifu.
Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana
Nantsi eyona miyalelo i-5-10 isetyenziswa kakhulu/iziqwengana zeKiro kunye neLangChain:
kiroutil init: Iqalisa iprojekthi entsha yeKiro.- `i-kiroutil build': Yakha i-arhente yeKiro.
langchain init: Iqalisa iprojekthi entsha yeLangChain.- `i-langchain build': Yakha imodeli yeLangChain.
i-kiroutil run: Isebenzisa i-arhente yeKiro.uvavanyo lwe-langchain: Uvavanya imodeli yeLangChain.kiroutil deploy: Isebenzisa i-arhente yeKiro kwiqonga lelifu.i-langchain vavanya: Ivavanya imodeli yeLangChain.kiroutil debug: Ilungisa iimpazamo kwi-arhente yeKiro.i-langchain yibone: Yenza umfanekiso weLangChain.
Umbono
Nantsi imbonakalo yoyilo lweKiro kunye neLangChain usebenzisa iChart.js:
{
"type": "bar",
"idatha": {
"labels": ["Kiro", "LangChain"],
"iiseti zedatha": [
{
"label": "Uyilo",
"idatha": [100, 80],
"backgroundColor": ["#4CAF50", "#FF9800"]
}
]
},
"iinketho": {
"isihloko": {
"bonisa": yinyani,
"text": "Kiro kunye neLangChain Architecture"
},
"legend": {
"bonisa": yinyani
}
}
}
Lo mboniso ubonisa i-architecture ephezulu ye-Kiro kunye ne-LangChain, igxininisa amandla abo kunye nobuthathaka.
Isiphelo
Kule nqaku, sihlolisise amandla e-AI ye-agent ye-DevOps automation usebenzisa i-Kiro kunye neLangChain. Ngokusebenzisa ezi zicwangciso zokusika, abaphuhlisi banokudala ii-arhente ezikrelekrele ezinokuthi zizenzele kwaye ziphucule imibhobho ye-CI / CD, ukuphucula ukuhanjiswa kwesoftware kunye nokunciphisa umngcipheko weempazamo. NgeKiro kunye neLangChain, abaphuhlisi banokwenza i-NLP yesiko kunye nobuchule bokuqonda ulwimi, kunye nokusebenzisana neenkqubo ezahlukeneyo, iinkonzo, kunye nemithombo yedatha. Siphinde sinike ibhloko yekhowudi elula ebonisa indlela yokwenza i-agent ye-Kiro eyenza ngokuzenzekelayo umbhobho we-CI / CD usebenzisa imodeli ye-LangChain LLAMA yokuqonda ulwimi.