I-ZeroOps Infrastructure Orchestration ene-AI Agents kunye neLangChain

Intshayelelo

Kumhlaba ovela ngokukhawuleza wobunjineli besoftware kunye ne-DevOps, imfuno ye-orchestration yeziseko zophuhliso esebenzayo kunye neyoyikisayo iye yanda ngamandla. Iindlela zemveli zolawulo lweziseko ezingundoqo zihlala zixhomekeke kuqwalaselo lwezandla kunye nokubhalwa kweskripthi, nto leyo enokukhokelela kwiimpazamo, ukungangqinelani, kunye neebhotile. Ukujongana nale mingeni, i-paradigm entsha iye yavela: I-orchestration yeziseko ze-ZeroOps kunye ne-AI agents kunye neLangChain.

Yintoni iZeroOps?

I-ZeroOps yindlela yoguquko yolawulo lweziseko zophuhliso olusebenzisa ii-arhente ze-AI kunye ne-automation ukuphelisa imfuno yokucwangciswa kwezandla kunye nokubhala. Ngokwenza ngokuzenzekelayo umjikelo wobomi beziseko zophuhliso, ukusuka ekusasazweni ukuya ekulinganiseni nasekugcinweni, iZeroOps yenza ukuba imibutho ikwazi ukufikelela kumanqanaba angazange abonwe ngaphambili okusebenza kakuhle, ukulinganisa, kunye nokuthembeka.

LangChain: I-AI-Powered Automation Framework

I-LangChain yinkqubo-sikhokelo yomthombo ovulekileyo eyenza abaphuhlisi ukuba bakhe i-AI-powered automation workflows usebenzisa imodeli yeprogram elula, enembile. Ngokubonelela nge-abstraction ephezulu kwi-complex ye-AI kunye ne-automation, i-LangChain yenza kube lula ukwenza imibhobho e-automation eyinkimbinkimbi enokulawula kunye neyona ndawo inqabileyo yeziseko ezingundoqo.

** Iiarhente ze-AI: Isitshixo kwiZeroOps**

Iiarhente ze-AI zizinto zesoftware ezisebenzisa ukufundwa koomatshini kunye nezinye iindlela ze-AI ukwenza imisebenzi kunye nokwenza izigqibo. Kumxholo weZeroOps, iiarhente ze-AI zidlala indima ebalulekileyo ekubekeni iliso kwiziseko ezingundoqo zezempilo, ekuboneni izinto ezingaqhelekanga, kunye nokuthatha amanyathelo okulungisa ukuqinisekisa ukusebenza ngokupheleleyo.

StackGen kunye ne-OpsVerse: Ukukhawulezisa i-AI-Driven Automation

I-StackGen kunye ne-OpsVerse zizixhobo ezibini ezivelisa i-automation eqhutywa yi-AI yobunjineli kunye ne-DevOps workflows. I-StackGen sisixhobo sokuvelisa ikhowudi esenza ukuba abaphuhlisi benze iitemplates zesiseko sesiseko besebenzisa i-syntax elula, echazayo. I-OpsVerse, kwelinye icala, liqonga elibonelela ngojongano olumanyeneyo lokulawula iindawo ezininzi zeziseko ezingundoqo kunye nokuhamba komsebenzi okuzenzekelayo.

Ukuzalisekisa iZeroOps ngeLangChain kunye neearhente ze-AI

Ukuphumeza i-ZeroOps nge-LangChain kunye nee-arhente ze-AI, siya kulandela inyathelo ngenyathelo:

Inyathelo loku-1: Chaza iSakhelo seZiseko zoPhuhliso

Sisebenzisa i-StackGen, siya kuchaza iitemplates zeziseko ezingundoqo ezichaza ulungelelwaniso olufunekayo lweziseko ezingundoqo. Oku kuya kubandakanya iinkcukacha koomatshini benyani, uthungelwano, ugcino, kunye nezinye izixhobo.

ngenisa i-stackgen


ithempleyithi = stackgen.Template(
    igama="my_infrastructure",
    izixhobo=[
        stackgen.Resource(
            igama = "vm1",
            uhlobo="vm",
            impahla={
                "cpu": 2,
                "inkumbulo": 4,
                "ugcino": 100
            }
        ),
        stackgen.Resource(
            igama = "vm2",
            uhlobo="vm",
            impahla={
                "cpu": 4,
                "inkumbulo": 8,
                "ugcino": 200
            }
        )
    ]
)

# Yenza ikhowudi yeziseko zophuhliso
Infrastructure_code = template.generate()

Inyathelo lesi-2: Yenza ii-arhente ze-AI

Ngokusebenzisa iLangChain, siya kudala iiarhente ze-AI ezinokubeka iliso kwiziseko ezingundoqo zezempilo, zibone izinto ezingaqhelekanga, kwaye zithathe amanyathelo okulungisa. Siza kuchaza iarhente elula ejonga ukusetyenziswa kwe-CPU kunye nezilumkiso ukuba ingaphaya komda othile.

ngenisa i-langchain

# Chaza i-arhente ye-AI
iarhente = langchain.Agent(
    igama = "cpu_arhente",
    uhlobo = "cpu",
    impahla={
        "umda": 80
    }
)

# Chaza ingqiqo ye-arhente
def check_cpu_usage(vm):
    # Jonga ukusetyenziswa kweCPU
    cpu_usetyenziso = vm.get_cpu_usage()
    ukuba cpu_usetyenziso > agent.properties["threshold"]:
        # Isilumkiso ukuba ukusetyenziswa kwe-CPU kungaphezulu komda
        buyisela "ukusetyenziswa kwe-CPU kugqitha umda"
    enye into:
        # Buyisela i-null ukuba ukusetyenziswa kwe-CPU kungaphakathi komda
        buya Akukho

Inyathelo lesi-3: Dibanisa ii-Arhente ze-AI kunye nezakhelo zeziSeko zoPhuhliso

Siza kudibanisa ii-arhente ze-AI kunye neethempleyithi zeziseko zophuhliso ukwenza umbhobho odibeneyo ozenzekelayo. Lo mbhobho uza kubeka esweni impilo yeziseko zophuhliso, ubone izinto ezingaqhelekanga, kwaye uthathe amanyathelo okulungisa ukuqinisekisa ukusebenza ngokupheleleyo.

ngenisa i-langchain

# Chaza umbhobho ozenzekelayo
umbhobho = langchain.Pipeline(
    igama = "umbhobho_wam",
    iiarhente=[iarhente],
    itemplates=[template]
)

# Qhuba umbhobho ozenzekelayo
pipeline.run()

Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana

Nantsi eyona miyalelo/iziqwengana eziphezulu ezi-5-10 zeLangChain kunye neearhente ze-AI:

1. langchain.Agent(igama="cpu_agent", type="cpu", properties={"threshold": 80})
2. stackgen.Template(igama="my_infrastructure", imithombo=[...])
3. langchain.Pipeline(igama="my_pipeline", agents=[iarhente], itemplates=[template])
4. iarhente.run(jonga_cpu_usetyenziso(vm))
5. itemplate.velisa()
6. langchain.Agent.update_properties(i-arhente, {"threshold": 90})
7. stackgen.Resource(igama="vm1", type="vm", properties={"cpu": 2, "memory": 4, "storage": 100})
8. langchain.Pipeline.susa_iarhente(umbhobho, iarhente)
9. langchain.Agent.add_property(i-arhente, "isilumkiso", Yinyani)
10. stackgen.Template.update_resource(template, "vm1", {"cpu": 4, "memory": 8, "storage": 200})

Umbono

Nantsi imbonakalo elula yombhobho ozenzekelayo usebenzisa iChart.js:

{
  "type": "bar",
  "idatha": {
    "labels": ["Ukusetyenziswa kweCPU", "Ukusetyenziswa kweMemori", "Ukusetyenziswa koGcino"],
    "iiseti zedatha": [
      {
        "label": "Threshold",
        "idatha": [80, 80, 80],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "Eyona nto",
        "idatha": [70, 70, 70],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "iinketho": {
    "isihloko": {
      "bonisa": yinyani,
      "umbhalo": "Umbhobho ozenzekelayo"
    },
    "izikali": {
      "yAxes": [
        {
          "bonisa": yinyani,
          "amanqaku": {
            "beginAtZero": yinyani
          }
        }
      ]
    }
  }
}

Lo mboniso ubonisa eyona CPU, imemori, kunye nokusetyenziswa kogcino xa kuthelekiswa namaxabiso e-threshold. Umbhobho ozenzekelayo unokusebenzisa le datha ukuze ibone izinto ezingaqhelekanga kwaye ithathe amanyathelo okulungisa.

Isiphelo

I-orchestration yeziseko zophuhliso zeZeroOps kunye nee-arhente ze-AI kunye neLangChain yindlela yokuguqula ulawulo lweziseko ezingundoqo eziphelisa imfuno yokuqulunqwa kwencwadana kunye nokubhala. Ngokusebenzisa iiarhente ze-AI kunye ne-automation, imibutho inokufikelela kumanqanaba angazange abonwe ngaphambili okusebenza kakuhle, ukulinganisa, kunye nokuthembeka. Nge-StackGen kunye ne-OpsVerse, abaphuhlisi banokukhawulezisa i-automation eqhutywa yi-AI yobunjineli kunye ne-DevOps workflows. Ngokulandela indlela yesinyathelo-nge-nyathelo echazwe kweli nqaku, abaphuhlisi banokusebenzisa i-ZeroOps kunye ne-LangChain kunye nee-arhente ze-AI ukwenza umbhobho odibeneyo ozenzekelayo obeka iliso kwimpilo yeziseko ezingundoqo, ufumanisa ukungahambi kakuhle, kwaye uthathe amanyathelo okulungisa ukuqinisekisa ukusebenza kakuhle.