I-ZeroOps: Ukuzuza Ingqalasizinda Ezimele nge-Agentic AI namathuluzi e-Orchestration | B4N1

I-ZeroOps: Ukuzuza Ingqalasizinda Ezimele nge-Agentic AI namathuluzi e-Orchestration

7 months ago · b4n1 Tiempo de lectura: 3 min

Ama-ZeroOps: Ukuzuza Ingqalasizinda Ezimele nge-Agentic AI namathuluzi e-Orchestration

Isingeniso

Esimeni esiguqukayo njalo sobunjiniyela besoftware kanye ne-DevOps, umqondo we-ZeroOps uqhamuke njengendlela yoguquko ekuphathweni kwengqalasizinda. I-ZeroOps ihlose ukuzuza ingqalasizinda ezimele, lapho amasistimu ekwazi ukuziphilisa, ukuzilungiselela, nokuzilungiselela ngaphandle kokungenelela komuntu. Lo mbono wenziwa waba nokwenzeka ngokuhlangana kwe-Artificial Intelligence (AI), ubunjiniyela besofthiwe, kanye ne-DevOps automation. Kulesi sihloko, sizongena ezimpambanweni zalobu buchwepheshe futhi sihlole ukuthi i-AI ye-agent kanye namathuluzi omculo afana ne-LangChain ne-DSPy angasiza kanjani ukufeza ama-ZeroOps kumasistimu amafu kanye ne-scalable.

Inkinga Ngokuphathwa Kwengqalasizinda Yendabuko

Ukuphathwa kwengqalasizinda evamile kuhilela ukumiswa ngesandla, ukuqapha, kanye nokuxazulula izinkinga zezinhlelo. Le ndlela ijwayele ukuba namaphutha, ukungasebenzi, kanye nezinkinga zokukala. Njengoba izinhlelo zikhula ngobunkimbinkimbi, isidingo sokungenelela komuntu siyakhula, okuholela ekwandeni kwezindleko, isikhathi sokuphumula, nokukhungatheka. Indlela yendabuko iphinde ivimbele ukuqamba okusha, njengoba abathuthukisi nabasebenzisi becindezelwe yimisebenzi evamile, okushiya isikhathi esincane sezinhlelo zamasu.

Ukunyuka kwe-Agent AI kanye namathuluzi e-Orchestration

I-Agentic AI, isethi engaphansi yobuhlakani bokwenziwa, isho izinhlelo ezingazenzela zona ngokwazo, zenze izinqumo futhi zithathe izinyathelo ngaphandle kokungenelela komuntu. Ngakolunye uhlangothi, amathuluzi e-orchestration enza ngokuzenzakalelayo ukuphathwa kwezinhlelo eziyinkimbinkimbi ngokuxhumanisa ukusebenzisana phakathi kwezingxenye ezihlukahlukene. Ukuhlangana kwe-AI ye-agent kanye namathuluzi e-orchestration kunikeze isigaba esisha sezinhlelo ezikwazi ukuzilawula, ukuziphilisa, nokuzilungiselela.

LangChain: Uhlaka lwe-Agentic AI

I-LangChain iwuhlaka lomthombo ovulekile oluvumela abathuthukisi bakhe amasistimu e-AI e-agent. Ihlinzeka ngesethi yamathuluzi nemitapo yolwazi yokucubungula ulimi lwemvelo (NLP), ukufunda ngomshini (ML), nokuthuthukiswa kwesofthiwe. I-architecture ye-LangChain yakhelwe ukwenza lula ukwakhiwa kwezinhlelo ezizimele ezingasebenzisana nabantu nezinye izinhlelo ngendlela ephusile.


kusuka ku-langchain ngenisa i-LLMChain

# Chaza i-LLMChain elula
llm_chain = LLMChain(
    llm_name="text-davinci-003",
    izinga lokushisa=0.7,
    ubuningi_ubude=2048,
    min_length=128,
)

# Sebenzisa i-LLMChain ukwenza umbhalo
umbhalo = llm_chain.run("Bhala indaba emfushane ngekati")
phrinta(umbhalo)

I-DSPy: Uhlaka Lwe-Orchestration

I-DSPy iwuhlaka lomthombo ovulekile oluhlinzeka ngeqoqo lamathuluzi nemitapo yolwazi yokwakha izinhlelo zokucula. Ivumela abathuthukisi ukuthi bazenzele ngokuzenzakalelayo ukuphathwa kwezinhlelo eziyinkimbinkimbi ngokuxhumanisa ukusebenzisana phakathi kwezingxenye ezahlukahlukene. I-architecture ye-DSPy yakhelwe ukusiza ukudalwa kwamasistimu angalawuleki futhi abekezelela amaphutha.

# Isibonelo sekhodi ye-DSPy
kusuka ku-dSpy yokungenisa Ukuhamba komsebenzi

# Chaza ukuhamba komsebenzi okulula
ukuhamba komsebenzi = ukuhamba komsebenzi (
    igama="isibonelo_ukugeleza komsebenzi",
    imisebenzi=[
        {"name": "task1", "type": "shell", "command": "echo 'Sawubona Mhlaba'"},
        {"name": "task2", "type": "python", "script": "print('Hello World')"},
    ],
)

# Faka uhlelo lokusebenza
ukuhamba komsebenzi.run()

Ukuzuza i-ZeroOps nge-Agentic AI namathuluzi e-Orchestration

Inhlanganisela ye-AI ye-agent kanye namathuluzi omculo we-orchestration afana ne-LangChain ne-DSPy yenza kube nokwenzeka ukuzuza ama-ZeroOps kumafu namasistimu angakala. Ngokuzenzakalela ukuphathwa kwezinhlelo eziyinkimbinkimbi, abathuthukisi nabasebenzi bangagxila ezinhlelweni zamasu, kuyilapho uhlelo luzilawula ngokwalo, liziphilisa ngokwalo, futhi lizilungiselela lona ngokwalo.

Izinzuzo ze-ZeroOps

Izinzuzo ze-ZeroOps ziningi:

  • Ukusebenza kahle okuthuthukisiwe: Ukuphathwa kwengqalasizinda okuzenzakalelayo kunciphisa amaphutha enziwa ngesandla futhi kwandisa umkhiqizo.
  • Ukukala okuthuthukisiwe: Amasistimu angakhuphuka noma ehle ngokuzenzakalelayo, ngaphandle kokungenelela komuntu.
  • Ukuthembeka okuthuthukisiwe: Amasistimu wokuzilapha anciphisa isikhathi sokuphumula futhi athuthukisa ukwethembeka okuphelele kwesistimu.
  • Izindleko ezincishisiwe: Ukuphathwa kwengqalasizinda okuzenzakalelayo kunciphisa isidingo sokungenelela kwabantu, okuholela ekongeni kwezindleko.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi eminye yemiyalo evame ukusetshenziswa kakhulu namazwibela we-LangChain ne-DSPy:

LangChain + llm_chain.run("text"): Qalisa umsebenzi wokukhiqiza umbhalo usebenzisa i-LLMChain. + llm_chain.train("data"): Qeqesha imodeli yolimi usebenzisa i-LLMChain. + llm_chain.evaluate("text"): Linganisa ukusebenza kwemodeli yolimi usebenzisa i-LLMChain. DSPy + workflow.run(): Qalisa ukugeleza komsebenzi usebenzisa uhlaka lwe-DSPy. + workflow.status(): Thola isimo sokugeleza komsebenzi usebenzisa uhlaka lwe-DSPy. + workflow.log(): Thola okuphumayo kwelogi yokugeleza komsebenzi usebenzisa uhlaka lwe-DSPy.

Ukubona

Nali ishadi elilula lisebenzisa i-Chart.js ukuze ubone ngeso lengqondo izinzuzo ze-ZeroOps:

{
  "type": "bar",
  "idatha": {
    "labels": ["Ukuphumelela Okunyukile", "Ukukala Okuthuthukisiwe", "Ukuthembeka Okuthuthukisiwe", "Izindleko Ezincishisiwe"],
    "idathasethi": [
      {
        "label": "Izinzuzo ze-ZeroOps",
        "idatha": [90, 85, 95, 80],
        "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3", "#009688"],
        "borderColor": ["#4CAF50", "#FF9800", "#2196F3", "#009688"],
        "BorderWidth": 1
      }
    ]
  },
  "izinketho": {
    "isihloko": {
      "Display": iqiniso,
      "text": "Izinzuzo ze-ZeroOps"
    },
    "izikali": {
      "yAxes": [
        {
          "imikhaza": {
            "beginAtZero": kuyiqiniso
          }
        }
      ]
    }
  }
}

Isiphetho

I-ZeroOps iyindlela eguquguqukayo ekuphathweni kwengqalasizinda eyenza amasistimu azimele akwazi ukuzilawula, ukuzelapha, kanye nokuzithuthukisa. Ngokusebenzisa i-AI ye-agent kanye namathuluzi e-orchestration afana ne-LangChain ne-DSPy, abathuthukisi nabaqhubi bangakwazi ukuzuza ukusebenza kahle okwandisiwe, ukukala okuthuthukisiwe, ukwethembeka okuthuthukisiwe, kanye nezindleko ezincishisiwe. Njengoba ubuchwepheshe buqhubeka nokuvela, singalindela ukubona izinhlelo zokusebenza ezintsha ze-ZeroOps kumafu nasezinhlelweni ezingakala.


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