Isebenzisa i-Agentic AI ye-DevOps Automation nge-Kiro ne-LangChain
Isingeniso
Ezweni lanamuhla lokuthuthukiswa kwesofthiwe esheshayo, amaqembu e-DevOps ahlala efuna izindlela zokuthuthukisa ukusebenza kahle nokuthembeka kokuhlanganisa kwawo okuqhubekayo kanye namapayipi okuthunyelwa okuqhubekayo (CI/CD). Indlela eyodwa ethembisayo ukusebenzisa i-AI ye-agent, evumela ukwakhiwa kwama-ejenti ahlakaniphile angakwazi ukwenza imisebenzi ye-DevOps ngokuzenzakalelayo. Kulesi sihloko, sizohlola indlela yokusebenzisa ama-agent anamandla e-AI kusetshenziswa i-Kiro ne-LangChain, izinhlaka ezimbili ezisezingeni eliphezulu eziguqula insimu ye-DevOps automation.
Iyini i-Agent AI?
I-Agentic AI ibhekisela ohlotsheni lobuhlakani bokwenziwa obuklanyelwe ukwenza imisebenzi ngokuzenzakalelayo, njenge-ejenti yomuntu. Kumongo we-DevOps, i-agent AI ingasetshenziselwa ukwenza imisebenzi efana nokwakha, ukuhlola, nokuphakela izinhlelo zesofthiwe. Ngokusebenzisa izindlela zokufunda ngomshini nezindlela zemvelo zokucubungula ulimi (NLP), ama-ejenti e-AI e-agent angafunda kokuhlangenwe nakho futhi azivumelanise nezimo ezishintshayo, azenze zilungele ukuhamba komsebenzi kwe-DevOps okuyinkimbinkimbi nokunamandla.
Sethula i-Kiro ne-LangChain
I-Kiro ne-LangChain yizinhlaka ezimbili zomthombo ovulekile eziklanyelwe ngokukhethekile ukwakha amasistimu e-AI e-agent. I-Kiro iwuhlaka olusekelwe ku-Rust olunikeza inkundla eqinile nengalawuleki yokwakha ama-agent ahlakaniphile, kuyilapho i-LangChain iwuhlaka olusekelwe ku-Python olugxile ku-NLP nokuqonda kolimi.
I-Kiro: Uhlaka Olusekelwe Ukugqwala Lokwakha Ama-ejenti Ahlakaniphile
I-Kiro iwuhlaka lwesimanje olusekelwe kuRust olunikeza inkundla ebanzi yokwakha ama-agent ahlakaniphile. Nge-Kiro, onjiniyela bangakha ama-ejenti angasebenzisana namasistimu ahlukahlukene, amasevisi, nemithombo yedatha, futhi enze imisebenzi efana nale:
- Ukuzenzakalelayo ukugeleza komsebenzi nezinqubo
- Ukuhlaziya idatha nokwenza izinqumo
- Ukuxhumana nabantu nezinye izinhlelo
Izakhiwo zikaKiro zenzelwe ukuthi zinwebeke kakhulu futhi ziguquguquke, okukwenze kube ukukhetha okuhle kwamaphrojekthi amakhulu we-DevOps automation.
I-LangChain: Uhlaka olusekelwe kwi-Python lwe-NLP kanye Nokuqonda Kolimi
I-LangChain iwuhlaka olusekelwe kuPython olugxile ku-NLP nokuqonda kolimi. Nge-LangChain, abathuthukisi bangakha ama-ejenti angaqonda futhi akhiqize ulimi olufana nomuntu, futhi enze imisebenzi efana nale:
- Ukucutshungulwa kolimi lwemvelo (NLP)
- Ukuhlaziywa kombhalo kanye nokuhlaziya imizwa
- Ukuhumusha ulimi kanye nesizukulwane
Izakhiwo ze-LangChain zenzelwe ukuba zibe nemodular kakhulu futhi zande, zikwenze kube ukukhetha okuhle ekwakheni i-NLP yangokwezifiso kanye namakhono okuqonda ulimi.
Ukusebenzisa i-AI-Powered Agents nge-Kiro ne-LangChain
Ukuze sibonise amandla e-Kiro ne-LangChain, ake sicabangele isibonelo esilula sokwakha i-ejenti enamandla e-AI eyenza ngokuzenzakalelayo ipayipi le-CI/CD. Kulesi sibonelo, sizosebenzisa i-Kiro ukuze sakhe i-ejenti engakwazi ukusebenzisana nenqolobane ye-Git, yakhe futhi ihlole ikhodi, futhi ikhiphe uhlelo lokusebenza endaweni yamafu.
Nali ibhulokhi yekhodi elula ekhombisa ukuthi yenziwa kanjani i-ejenti ye-Kiro eyenza ngokuzenzakalelayo ipayipi le-CI/CD:
ngenisa i-kiro
kusuka ku-langchain ngenisa i-LLAMA
i-ejenti = kiro.Agent(
igama="ci_cd_ejenti",
incazelo="Isebenza ngokuzenzakalelayo i-CI/CD pipeline",
izenzo=[
kiro.Action(
igama = "git_clone",
description="Clones the Git repository",
ikhodi="""
ngenisa i-git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igama="build",
definition="Yakha ikhodi",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "yakha"])
"""
),
kiro.Action(
name="test",
definition="Yenza izivivinyo",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "test"])
"""
),
kiro.Action(
igama="hambisa",
definition="Ithumela uhlelo",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "sebenzisa"])
"""
)
]
)
# Dala imodeli ye-LLAMA ye-LangChain
llama = LLAMA(
igama = "llama_model",
description="LLAMA model for language understanding",
ikhodi="""
ngenisa i-langchain
imodeli = langchain.LLAMA(
igama = "llama_model",
description="LLAMA model for language understanding",
ikhodi="""
ngenisa i-langchain
imodeli = langchain.LLAMA(
igama = "llama_model",
description="LLAMA model for language understanding",
ikhodi="""
def process_text(umbhalo):
# Hlela umbhalo usebenzisa imodeli ye-LLAMA
buyisela umbhalo
"""
)
"""
)
"""
)
# Dala i-ejenti ye-Kiro esebenzisa imodeli ye-LangChain LLAMA
i-ejenti = kiro.Agent(
igama="ci_cd_ejenti",
incazelo="Isebenza ngokuzenzakalelayo i-CI/CD pipeline",
izenzo=[
kiro.Action(
igama = "git_clone",
description="Clones the Git repository",
ikhodi="""
ngenisa i-git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igama="build",
definition="Yakha ikhodi",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "yakha"])
"""
),
kiro.Action(
name="test",
definition="Yenza izivivinyo",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "test"])
"""
),
kiro.Action(
igama="hambisa",
definition="Ithumela uhlelo",
ikhodi="""
i-subprocess yokungenisa
subprocess.run(["yenza", "sebenzisa"])
"""
)
],
language_model=llama
)
# Qalisa i-ejenti
i-ejenti.run()
Leli bhulokhi lekhodi libonisa indlela yokudala i-ejenti ye-Kiro eyenza ngokuzenzakalelayo ipayipi le-CI/CD lisebenzisa imodeli ye-LangChain LLAMA ukuze kuqondwe ulimi. Umenzeli angakwazi ukusebenzisana nekhosombe le-Git, akhe futhi ahlole ikhodi, futhi athumele uhlelo lokusebenza endaweni yamafu.
Imiyalo/Amazwibela Aphezulu Okuyi-5-10
Nansi imiyalo/ amazwibela aphezulu angu-5-10 e-Kiro ne-LangChain:
kiroutil init: Iqalisa iphrojekthi entsha ye-Kiro.i-kiroutil build: Yakha i-ejenti ye-Kiro.langchain init: Iqalisa iphrojekthi entsha ye-LangChain.isakhiwo se-langchain: Yakha imodeli ye-LangChain.i-kiroutil run: Isebenzisa i-ejenti ye-Kiro.ukuhlolwa kwe-langchain: Ihlola imodeli ye-LangChain.i-kiroutil deploy: Ithumela i-ejenti ye-Kiro kuplathifomu yamafu.Hlola i-langchain: Ihlola imodeli ye-LangChain.I-kiroutil debug: Isusa amaphutha kumenzeli we-Kiro.bona ngeso lengqondo: Ibona ngeso lengqondo imodeli ye-LangChain.
Ukubona
Nakhu ukubuka ngeso kwesakhiwo se-Kiro ne-LangChain kusetshenziswa i-Chart.js:
{
"type": "bar",
"idatha": {
"labels": ["Kiro", "LangChain"],
"idathasethi": [
{
"label": "Architecture",
"idatha": [100, 80],
"backgroundColor": ["#4CAF50", "#FF9800"]
}
]
},
"izinketho": {
"isihloko": {
"Display": iqiniso,
"text": "I-Kiro ne-LangChain Architecture"
},
"i-legend": {
"isibonisi": iqiniso
}
}
}
Lokhu kuboniswa kubonisa ukwakheka kwezinga eliphezulu kwe-Kiro ne-LangChain, okugqamisa amandla nobuthakathaka babo.
Isiphetho
Kulesi sihloko, sihlole amandla e-AI ye-agent ye-DevOps automation isebenzisa i-Kiro ne-LangChain. Ngokusebenzisa lezi zinhlaka ezisezingeni eliphezulu, abathuthukisi bangakha ama-ejenti ahlakaniphile angakwazi ukwenza ngokuzenzakalelayo futhi athuthukise amapayipi e-CI/CD, athuthukise ukusebenza kahle kokulethwa kwesoftware futhi anciphise ubungozi bamaphutha. Nge-Kiro ne-LangChain, abathuthukisi bangakha i-NLP yangokwezifiso namakhono okuqonda ulimi, futhi basebenzisane nezinhlelo ezihlukahlukene, amasevisi, nemithombo yedatha. Siphinde sanikeza ibhulokhi yekhodi elula ebonisa indlela yokwakha i-ejenti ye-Kiro eyenza ngokuzenzakalelayo ipayipi le-CI/CD lisebenzisa imodeli ye-LLAMA ye-LangChain ukuze kuqondwe ulimi.