Faʻaaogaina le Agentic AI mo DevOps Automation ma Kiro ma LangChain
Fa'atomuaga
I le va'aiga fa'avavevave o le atina'eina o polokalama fa'akomepiuta i aso nei, o lo'o sailia pea e 'au a DevOps ni auala e fa'aleleia atili ai le lelei ma le fa'atuatuaina o latou fa'aauau fa'atasi ma fa'aauau le fa'atinoina (CI/CD) paipa. O se tasi o auala faʻamoemoe o le faʻaaogaina lea o le AI, lea e mafai ai ona fausia ni sui atamamai e mafai ona faʻaogaina ma faʻamalieina galuega a DevOps. I totonu o lenei tusiga, o le a matou suʻesuʻeina pe faʻapefea ona faʻaogaina sui faʻamalosia AI e faʻaaoga ai Kiro ma LangChain, lua faʻataʻitaʻiga faʻataʻitaʻiga o loʻo faʻafouina le fanua o DevOps automation.
O le a le Agentic AI?
Agentic AI o loʻo faʻatatau i se ituaiga o atamai faʻapitoa lea ua mamanuina e faʻatino ai galuega faʻapitoa, e pei o se sui o le tagata. I le tulaga o DevOps, e mafai ona faʻaaogaina AI faʻapitoa e faʻaaogaina ai galuega e pei o le fausiaina, suʻega, ma le faʻaogaina o polokalama faakomepiuta. E ala i le faʻaogaina o masini aʻoaʻoga ma le faʻaogaina o le gagana faʻanatura (NLP), e mafai e sui sooupu AI ona aʻoaʻoina mai le poto masani ma fetuutuunai i suiga o siosiomaga, ma avea ai i latou ma mea lelei mo le lavelave ma le malosi o galuega a DevOps.
Faailoaina Kiro ma LangChain
Kiro ma LangChain o ni fa'avae avanoa e lua e fa'atulagaina faapitoa mo le fausiaina o faiga fa'apitoa AI. O Kiro o se faʻavae Rust e maua ai se faʻavae malosi ma faʻalauteleina mo le fausiaina o sui atamamai, ae o LangChain o se faʻavae Python e taulaʻi i le NLP ma le malamalama i le gagana.
Kiro: Ose Ta'iala fa'avae ele mo le Fausiaina o Sui Fa'apitoa
Kiro ose fa'aonaponei fa'avae Rust fa'avae e tu'uina atu ai se fa'avae atoatoa mo le fauina o sui atamamai. Faatasi ai ma Kiro, e mafai e le au atinaʻe ona fatuina ni sui e mafai ona fegalegaleai ma faiga eseese, auaunaga, ma punaoa faʻamaumauga, ma faia galuega e pei o:
- Fa'autometi galuega ma faiga
- Iloiloina o faʻamaumauga ma faia filifiliga
- Fesootaiga ma tagata ma isi faiga
O le fausaga a Kiro ua mamanuina ina ia sili ona faʻaogaina ma fetuutuunai, ma avea ai ma filifiliga lelei mo galuega faʻaautomatika DevOps tetele.
LangChain: O se Ta'iala fa'avae Python mo le NLP ma le Gagana Malamalama
LangChain o se faʻavae faʻavae Python e taulaʻi ile NLP ma le malamalama ile gagana. Faatasi ai ma LangChain, e mafai e le au atinaʻe ona fatuina ni sui e mafai ona malamalama ma faʻatupuina gagana pei o tagata, ma faia galuega e pei o:
- Gagana fa'anatura (NLP)
- Su'esu'ega tusitusiga ma su'esu'ega lagona
- Faaliliuga gagana ma tupulaga
O le fausaga a LangChain ua mamanuina ina ia sili ona faʻaogaina ma faʻalauteleina, ma avea ma filifiliga lelei mo le fausiaina o le NLP masani ma le malamalama i le gagana.
Faʻatinoina AI-Powered Agents ma Kiro ma LangChain
Ina ia faʻaalia le malosi o Kiro ma LangChain, seʻi o tatou mafaufau i se faʻataʻitaʻiga faigofie o le fausiaina o se sui faʻamalosia AI e faʻaaogaina se paipa CI / CD. I lenei faʻataʻitaʻiga, o le a matou faʻaogaina Kiro e fatu ai se sooupu e mafai ona fegalegaleai ma se faleoloa Git, fausia ma faʻataʻitaʻi le code, ma faʻapipiʻi le talosaga i luga o le ao.
O se poloka faʻailoga faigofie lea e faʻaalia ai pe faʻafefea ona fausia se sui Kiro e faʻaaogaina se paipa CI / CD:
kiro mai fafo
mai le langchain faaulufale mai LLAMA
sooupu = kiro.Agent(
igoa = "ci_cd_agent",
fa'amatalaga="Otometi CI/CD paipa",
gaioiga=[
kiro.Action(
igoa = "git_clone",
description="Clones le Git repository",
code="""
faaulufale mai git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igoa = "fausia",
description="Fausia le code",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "fausia"])
"""
),
kiro.Action(
igoa="su'ega",
description="Ta'e su'ega",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "su'ega"])
"""
),
kiro.Action(
igoa = "deploy",
fa'amatalaga="Tu'u le talosaga",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "deploy"))
"""
)
]
)
# Fausia se faʻataʻitaʻiga LangChain LLAMA
llama = LLAMA(
igoa = "llama_model",
fa'amatalaga = "LLAMA fa'ata'ita'iga mo le malamalama i le gagana",
code="""
faaulufale mai le langchain
fa'ata'ita'iga = langchain.LLAMA(
igoa = "llama_model",
fa'amatalaga = "LLAMA fa'ata'ita'iga mo le malamalama i le gagana",
code="""
faaulufale mai le langchain
fa'ata'ita'iga = langchain.LLAMA(
igoa = "llama_model",
fa'amatalaga = "LLAMA fa'ata'ita'iga mo le malamalama i le gagana",
code="""
def process_text(tusitusiga):
# Fa'agasolo le tusitusiga e fa'aaoga ai le fa'ata'ita'iga LLAMA
toe faafoi tusitusiga
"""
)
"""
)
"""
)
# Fausia se sui Kiro e faʻaaogaina le LangChain LLAMA faʻataʻitaʻiga
sooupu = kiro.Agent(
igoa = "ci_cd_agent",
fa'amatalaga="Otometi CI/CD paipa",
gaioiga=[
kiro.Action(
igoa = "git_clone",
description="Clones le Git repository",
code="""
faaulufale mai git
repo = git.Repo.clone("https://github.com/user/repo.git")
"""
),
kiro.Action(
igoa = "fausia",
description="Fausia le code",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "fausia"])
"""
),
kiro.Action(
igoa="su'ega",
description="Ta'e su'ega",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "su'ega"])
"""
),
kiro.Action(
igoa = "deploy",
fa'amatalaga="Tu'u le talosaga",
code="""
faiga fa'aulufale mai
subprocess.run(["faia", "deploy"))
"""
)
],
language_model=llama
)
# Faʻatautaia le sooupu
agent.run()
O lenei poloka code o loʻo faʻaalia ai pe faʻafefea ona fausia se sui Kiro e faʻaaogaina se paipa CI / CD e faʻaaoga ai le LangChain LLAMA faʻataʻitaʻiga mo le malamalama i le gagana. E mafai e le sooupu ona fegalegaleai ma se Git repository, fausia ma suʻe le code, ma faʻapipiʻi le talosaga i luga o le ao.
Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina
O le pito i luga 5-10 pito sili ona faʻaaogaina poloaiga / snippets mo Kiro ma LangChain:
- 'kiroutil init': Fa'amataina se poloketi fou Kiro.
- 'kiroutil build': Fausia se sui Kiro.
langchain init: Fa'amataina se galuega fou LangChain.- 'langchain build': Fausia se fa'ata'ita'iga LangChain.
- 'kiroutil run': Fa'afoe se sui o le Kiro.
- 'Su'ega Langchain': Su'e se fa'ata'ita'iga LangChain.
- 'kiroutil deploy': Tu'u le sui o le Kiro i luga o le ao.
langchain iloilo: Iloilo se fa'ata'ita'iga LangChain.- 'kiroutil debug': Debugs se sui sooupu Kiro.
- 'Langchain visualize': Va'aia se fa'ata'ita'iga LangChain.
Va'aiga
Ole fa'aaliga lea ole Kiro ma LangChain ile fa'aogaina ole Chart.js:
{
"type": "pa",
"fa'amatalaga": {
"labels": ["Kiro", "LangChain"],
"fa'amaumauga": [
{
"label": "Faigafale",
"faamatalaga": [100, 80],
"Lulu lanu": ["#4CAF50", "#FF9800"]
}
]
},
"filifiliga": {
"igoa": {
"fa'aaliga": moni,
"text": "Kiro ma LangChain Architecture"
},
"tala'aga": {
"faʻaalia": moni
}
}
}
O lenei faʻaaliga faʻaalia o loʻo faʻaalia ai le fausaga maualuga o Kiro ma LangChain, faʻamaonia ai o latou malosi ma vaivaiga.
Fa'ai'uga
I totonu o lenei tusiga, ua matou suʻesuʻeina le mana o le sui sooupu AI mo DevOps automation e faʻaaoga ai Kiro ma LangChain. E ala i le faʻaogaina o nei faʻataʻitaʻiga faʻapitoa, e mafai e le au atinaʻe ona fatuina ni sui atamamai e mafai ona faʻaogaina ma faʻamalieina paipa CI / CD, faʻaleleia le lelei o le tuʻuina atu o polokalama ma faʻaitiitia le lamatiaga o mea sese. Faatasi ai ma Kiro ma LangChain, e mafai e le au atinaʻe ona fatuina le NLP masani ma le malamalama i le gagana, ma fegalegaleai ma faiga eseese, auaunaga, ma punaoa faʻamatalaga. Ua matou tuʻuina atu foʻi se poloka faʻailoga faigofie e faʻaalia ai pe faʻapefea ona fatuina se sui Kiro e faʻaaogaina se paipa CI / CD e faʻaaoga ai le LangChain LLAMA faʻataʻitaʻiga mo le malamalama i le gagana.