Ho hlophisa Agenttic AI ho DevOps Pipelines ka DSPy le LangChain bakeng sa Ntlafatso ea ZeroOps
Selelekela
Ho kopanngoa ha Artificial Intelligence (AI) ho liphaephe tsa DevOps ho fetotse tsela eo software e hlahisoang ka eona, e lekoang le ho sebelisoa. Agent AI, karolo e nyane ea AI e nolofalletsang ho etsa liqeto le ho nka mehato e ikemetseng, e na le monyetla oa ho ntlafatsa ts'ebetso le katleho ea lits'ebetso tsa DevOps. Sehloohong sena, re tla hlahloba mohopolo oa ho hlophisa AI ea agent ho liphaephe tsa DevOps re sebelisa DSPy le LangChain, 'me re buisane ka melemo ea mokhoa ona ho finyella ZeroOps.
Agent AI ke eng?
Agetic AI e bua ka mofuta oa AI o nang le bokhoni ba ho etsa liqeto le ho nka khato ka boikemelo, ntle le ho kenella ha motho. Sena se finyelloa ka tšebeliso ea li-algorithms tse tsoetseng pele tsa ho ithuta ka mochini, ts'ebetso ea puo ea tlhaho, le meralo ea temohisiso. Sistimi ea Agetic AI e ka ithuta ho tsoa boiphihlelong, ea ikamahanya le maemo a macha, 'me ea sebelisana le batho ka tsela ea tlhaho le e hlakileng.
ZeroOps ke eng?
ZeroOps ke filosofi ea DevOps e ikemiselitseng ho felisa tlhoko ea ho kenella ha batho ho nts'etsopele ea software, ho tsamaisa le ho e lokisa. Sena se finyelloa ka tšebeliso ea li-automation, orchestration, le ho etsa liqeto tse tsamaisoang ke AI. ZeroOps e thusa mekhatlo ho tsamaisa software ka potlako, ka boleng bo holimo, le ka litšenyehelo tse tlase.
Ho Hlophisa Agent AI ho DevOps Pipelines
Ho hlophisa liphaephe tsa AI ho liphaephe tsa DevOps, re hloka ho kopanya liqeto tse tsamaisoang ke AI le ho nka mehato. Sena se ka finyelloa ka tšebeliso ea DSPy le LangChain, mekhoa e 'meli e tummeng ea ho haha le ho tsamaisa lisebelisoa tse tsamaisoang ke AI.
DSPy
DSPy ke moralo oa Python oa ho aha le ho tsamaisa lits'ebetso tse tsamaisoang ke AI. E fana ka lisebelisoa tse ngata le lilaeborari bakeng sa ts'ebetso ea data, ho ithuta ka mochini, le ho sebetsa puo ea tlhaho. DSPy e etselitsoe ho sebetsa ka mokhoa o sa tsitsang le meralo e tsebahalang joalo ka LangChain le FastAPI.
LangChain
LangChain ke moralo oa Python oa ho aha le ho tsamaisa lits'ebetso tse tsamaisoang ke AI. E fana ka lisebelisoa tse ngata le lilaeborari bakeng sa ts'ebetso ea puo ea tlhaho, ho ithuta ka mochini, le meralo ea kelello. LangChain e etselitsoe ho sebetsa ka mokhoa o sa tsitsang le meralo e tsebahalang joalo ka DSPy le FastAPI.
Ts'ebetso ea Setsebi
Ho bonts'a ts'ebetsong ea tekheniki ea ho hlophisa liphaephe tsa AI ho liphaephe tsa DevOps ho sebelisa DSPy le LangChain, a re nahaneng ka mohlala o bonolo. Ha re re re batla ho kenya ts'ebeliso ea ts'ebeliso ea marang-rang re sebelisa lipeipi tsa DevOps. Re ka sebelisa DSPy ho haha mokhoa oa ho etsa liqeto o tsamaisoang ke AI o khethollang leano le nepahetseng la ho tsamaisa ho latela lintlha tse kang ts'ebetso ea kopo, maikutlo a basebelisi, le lisebelisoa tsa tsamaiso.
kenya dspy
ho tsoa ho langchain import LLM
def deployment_strategy(app_performance, user_feedback, system_resources):
# Sebelisa DSPy ho sebetsana le data le ho etsa liqeto
data = dspy.Data(app_performance, user_feedback, system_resources)
qeto = dspy.DecisionMaker(data)
# Sebelisa LangChain ho hlahisa moralo oa phepelo
llm = LLM("text-davinci-003")
plan = llm.generate_text(f"Deploy {app_performance} ka {user_feedback} le {system_resources} lisebelisoa")
leano la ho kgutlisa
# Hlalosa pompo ea DevOps
def pipeline(app_performance, user_feedback, system_resources):
# Sebelisa DSPy ho hlophisa lipeipi
pipeline = dSpy.Pipeline()
pipeline.add_task(deployment_strategy, app_performance, user_feedback, system_resources)
pipeline.add_task(dspytasks.Deploy, plan)
# Tsamaisa lipeipi
pipeline.run()
# Tsamaisa lipeipi
phaephe(90, 4.5, 80)
Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa DSPy le LangChain:
dspy.Data(): E etsa ntho ea data bakeng sa ho sebetsa le ho etsa liqeto.dspy.DecisionMaker(): E etsa liqeto ho latela lintlha le moelelo oa taba.LLM.generate_text(): E hlahisa mongolo ho latela litaelo tsa ho kenya.dspytasks.Deploy(): E sebelisa kopo e ipapisitseng le moralo oa ho tsamaisa.dspy.Pipeline(): E hlophisa phala ea DevOps.pipeline.add_task(): E eketsa mosebetsi ho phaephe.pipeline.run(): E tsamaisa lipeipi.dspy.Data.process(): E sebetsana le data bakeng sa ho etsa liqeto.dspy.DecisionMaker.decide(): E etsa qeto e thehiloeng ho data le moelelo oa taba.LLM.generate_text(prompt): E hlahisa mongolo ho latela litaelo tsa ho kenya.
Pono ya pono
Mona ke pono ea lipeipi tsa DevOps tse tsamaisoang ke AI tse sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["Ts'ebetso ea Lintlha", "Ho Etsa Liqeto", "Deployment"],
"lintlha tsa boitsebiso": [
{
"label": "Agent AI",
"data": [10, 20, 30],
"backgroundColor": "rgba(255, 99, 132, 0.2)",
"borderColor": "rgba(255, 99, 132, 1)",
"borderWidth": 1
}
]
},
"likgetho": {
"makala": {
"yAxes": [
{
"li-ticks": {
"beginAtZero": 'nete
}
}
]
}
}
}
Pono ena e bonts'a methati e meraro ea lipeipi tsa DevOps tse tsamaisoang ke AI: ts'ebetso ea data, ho etsa liqeto, le ho tsamaisa.
Qetello
Sehloohong sena, re ile ra hlahloba mohopolo oa ho hlophisa liphaephe tsa AI ho liphaephe tsa DevOps ho sebelisa DSPy le LangChain. Re bonts'itse mohlala o bonolo oa mokhoa oa ho iketsetsa phepelo ea ts'ebeliso ea webo ka mokhoa oa ho etsa liqeto o tsamaisoang ke AI. Hape re fane ka pono ea lipeipi tsa DevOps tse tsamaisoang ke AI re sebelisa Chart.js. Ka ho kopanya liphaephe tsa AI ho liphaephe tsa DevOps, mekhatlo e ka finyella ZeroOps le ho tsamaisa software ka potlako, ka boleng bo phahameng, le ka litšenyehelo tse tlaase.