Kenyelletso
Likamano tsa Artificial Intelligence (AI), meralo ea software, le DevOps li hlahisitse paradigm e ncha ea nts'etsopele ea software: Agent AI. Agent AI e bua ka ts'ebeliso ea othomathike e tsamaisoang ke AI ho ntlafatsa ts'ebetso le katleho ea DevOps workflows. Sehloohong sena, re tla hlahloba khopolo ea Agent CI / CD le mokhoa oa ho e kenya ts'ebetsong ka DSPy le LangChain.
Agetic CI/CD ke eng?
Agentic CI/CD ke mokhoa oa ho sebetsa oa DevOps o sebelisang othomathike o tsamaisoang ke AI ho tsamaisa tšebetso ea Kopano e Tsoelang Pele le Phaliso e Tsoelang Pele. Mokhoa ona o sebelisa li-algorithms tsa ho ithuta ka mochini ho sekaseka lintlha tse tsoang mehloling e fapaneng, joalo ka polokelo ea khoutu, li-server tsa kaho, le lisebelisoa tsa ho beha leihlo, ho tseba mekhoa le liphoso tse ka tsebang ho etsa liqeto.
Agetic CI/CD e etselitsoe ho ntlafatsa katleho le katleho ea DevOps workflows ka:
- **Ho iketsetsa mesebetsi e pheta-phetoang **: Boiketsetso bo tsamaisoang ke AI bo ka etsa mesebetsi e kang ho hlahloba khoutu, ho hlahloba, le ho tsamaisa, ho lokolla batho ba ntlafatsang batho hore ba tsepamise maikutlo mesebetsing ea boemo bo phahameng.
- Ho tsebahatsa mathata a ka bang teng: Mekhoa ea ho ithuta ka mochini e ka sekaseka data ho tsoa mehloling e fapaneng ho tseba mathata a ka bang teng pele e fetoha mathata a maholo.
- **Ho ntlafatsa phallo ea mosebetsi **: Agent CI/CD e ka ntlafatsa phallo ea mosebetsi ka ho tsebahatsa litsela tse sebetsang hantle haholo bakeng sa ho tsamaisa khoutu le ho fokotsa nako ea ho theoha.
Ho kenya tšebetsong CI/CD ea Agent ka DSPy le LangChain
DSPy le LangChain ke meralo e 'meli e tsebahalang ea ho aha litsamaiso tsa Agent AI. DSPy ke laebrari ea Python bakeng sa ho haha litsamaiso tse ajoang, athe LangChain ke moralo oa ho aha mekhoa ea puisano ea AI.
Ho kenya tšebetsong Agent CI/CD ka DSPy le LangChain, re tla sebelisa likarolo tse latelang:
- DSPy: Re tla sebelisa DSPy ho haha tsamaiso e ajoang e khonang ho sebetsana le lintlha tse ngata le ho etsa lipalo tse rarahaneng.
- LangChain: Re tla sebelisa LangChain ho haha moqoqo oa AI oa puisano o ka sebelisanang le bahlahisi le ho fana ka lintlha tse mabapi le ts'ebetso ea CI / CD.
Mona ke mohlala o bonolo oa mokhoa oa ho sebelisa DSPy le LangChain ho kenya tšebetsong Agetic CI/CD:
kenya dspy
ho tsoa ho langchain import LLM
# Hlalosa sehlopha sa DSPy
sehlopha = dspy.Sehlopha()
# Hlalosa LangChain LLM
llm = LLM("text-davinci-003")
# Hlalosa mokhoa oa ho sebetsa oa CI / CD
def ci_cd_workflow(khoutu):
# Sekaseka khoutu u sebelisa DSPy
tlhahlobo = cluster.analyze(code)
# Sebelisa LangChain ho fana ka leseli
temohisiso = llm.generate_insights(analysis)
# Khutlisa maikutlo
kgutlisetsa temohisiso
# Lekola ts'ebetso ea CI / CD
khoutu = "print('Hello World!')"
temohisiso = ci_cd_workflow(khoutu)
hatisa (maikutlo)
Khoutu ena e hlalosa mosebetsi oa CI / CD o sebelisang DSPy ho hlahloba khoutu le LangChain ho fana ka lintlha. Mosebetsi oa ci_cd_workflow o nka khoutu e le ho kenya letsoho, oa e hlahloba o sebelisa DSPy, ebe o sebelisa LangChain ho hlahisa lintlha. Lintlha li khutlisetsoa joalo ka tlhahiso.
Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa DSPy le LangChain:
DSPy
dspy.Cluster(): E theha sehlopha sa DSPy.cluster.analyze(code): E sekaseka khoutu ka ho sebelisa DSPy.cluster.deploy(code): E kenya khoutu e sebelisa DSPy.cluster.monitor(code): E beha leihlo khoutu e sebelisa DSPy.dspy.utils.log(boemo, molaetsa): Boloka molaetsa boemong bo boletsweng.
LangChain
LLM("text-davinci-003"): E theha LangChain LLM.llm.generate_insights(analysis): E hlahisa lintlha ka LangChain.llm.interact(analysis): E sebelisana le bahlahisi ba sebelisang LangChain.langchain.utils.log(boemo, molaetsa): Boloka molaetsa boemong bo boletsweng.langchain.utils.tokenize(text): E hlahisa mongolo ka LangChain.
Ho bona pono
Mona ke pono ea tšebetso ea Agetic CI/CD e sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["Analysis Code", "Insight Generation", "Deployment"],
"lintlha tsa boitsebiso": [
{
"label": "DSPy",
"data": [10, 20, 30],
"backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
},
{
"label": "LangChain",
"data": [20, 30, 40],
"backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
}
]
},
"likhetho": {
"sehlooho": {
"bontša": 'nete,
"text": "Agentic CI/CD Workflow"
},
"makala": {
"yAxes": [
{
"li-ticks": {
"beginAtZero": 'nete
}
}
]
}
}
}
Pontšo ena e bonts'a phallo ea mosebetsi oa Agentic CI/CD e le chate ea bar, e nang le DSPy le LangChain e emeloang e le li-dataset tse arohaneng.
Qetello
Sehloohong sena, re ile ra hlahloba khopolo ea Agent CI / CD le mokhoa oa ho e kenya ts'ebetsong ka DSPy le LangChain. Re buisane ka melemo ea Agetic CI/CD, ho kenyelletsa le mesebetsi e ipheta-phetang, ho tseba mathata a ka bang teng, le ho ntlafatsa phallo ea mosebetsi. Hape re fane ka mohlala o bonolo oa mokhoa oa ho sebelisa DSPy le LangChain ho kenya ts'ebetsong Agentic CI / CD, hammoho le litaelo / li-snippets tse ka holimo tsa 5-10 tse sebelisoang haholo bakeng sa DSPy le LangChain. Qetellong, re kenyelelitse pono ea Agentic CI/CD workflow ho sebelisa Chart.js.
Ka ho sebelisa DSPy le LangChain, bahlahisi ba ka haha litsamaiso tsa Agent AI tse ntlafatsang katleho le katleho ea DevOps workflows. Hore na o mohlahisi ea nang le boiphihlelo kapa o sa tsoa qala, Agentic CI/CD ke sebaka se thabisang le se fetohang ka potlako se lokelang ho hlahlojoa.