Fausia se sui Kiro | B4N1

Fausia se sui Kiro

3 months ago · b4n1 Read time: 4 min

** Fausiaina o Faiga Fa'akomepiuta Maua ma AI-Powered DevOps Automation**

Fa'atomuaga

I le va'aiga fa'atekinolosi i aso nei, ua fa'atuputeleina le lavelave ma feso'ota'i faiga fa'akomepiuta, ua atili fa'aaafia ai i fa'aletonu ma taimi fa'aletonu. Ina ia faʻaitiitia nei faʻalavelave, o loʻo liliu atu faʻalapotopotoga i le faʻaogaina o le DevOps e faʻaogaina ai le AI e fausia ai polokalama faʻapitoa e mafai ona faʻafetaui i suiga o siosiomaga ma faʻaitiitia le aʻafiaga o le motusia. I totonu o lenei tusiga, o le a matou suʻesuʻeina le manatu o ZeroOps taʻiala ma pe faʻafefea ona faʻaogaina e Kiro AI-powered agents ma LangChain e faʻaleleia ai le faʻaogaina o DevOps, faʻaogaina mea faʻapipiʻi faʻapipiʻiina ma le faia o filifiliga faʻavae AI.

O le a le ZeroOps?

ZeroOps o se taʻiala DevOps e faʻamoemoe e faʻaumatia le manaʻoga mo le faʻaogaina o tagata i le faʻapipiʻiina ma le puleaina o polokalama faakomepiuta. E maua lenei mea e ala i le faʻaogaina o meafaigaluega faʻaautomatika faʻamalosi AI e mafai ona iloa, faʻamaonia, ma foia faʻafitauli e aunoa ma le aʻafia o tagata. ZeroOps e faʻavae i luga o mataupu faavae o le faʻaauauina o le tuʻufaʻatasia ma le faʻaauauina o le faʻaogaina (CI / CD), lea e otometi ai ona fausia, faʻataʻitaʻiina, ma faʻapipiʻiina i siosiomaga gaosiga.

Kiro AI-Powered Agents

Kiro o se sui faʻamalosia AI e mafai ona faʻaaogaina e faʻaaogaina ai galuega eseese a DevOps, e pei o le mataʻituina, logging, ma tali faʻalavelave. E fa'aoga e Kiro masini a'oa'oga algorithms e au'ili'ili ai fa'amaumauga o faiga ma va'ai fa'afitauli e ono tutupu a'o le'i tupu. Ole mea lea e mafai ai ona faia ni faiga fa'agasolo e puipuia ai le ta'oto ma fa'aitiitia taimi fa'aletonu.

LangChain

LangChain o se faletusi Python lea e tuʻuina atu ai se faʻavae mo le fausiaina o talanoaga AI talosaga. E mafai ona faʻaaogaina e fatuina ai talatalanoaga, fesoasoani leo, ma isi fesoʻotaʻiga talanoaga e mafai ona fegalegaleai ma tagata faʻaoga ma isi faiga. LangChain e sili ona aoga mo le fausiaina o ZeroOps system, aua e mafai ona faʻaaogaina e fatuina ai fesoʻotaʻiga faʻatalanoaga e mafai ona tuʻuina atu faʻamatalaga moni ma taʻiala i tagata atiaʻe ma faʻalapotopotoga.

Faʻatinoina ZeroOps ma Kiro ma LangChain

Ina ia faʻatinoina ZeroOps ma Kiro ma LangChain, e manaʻomia ona tatou mulimuli i laasaga nei:

  1. Set up Kiro: Fa'apipi'i Kiro i luga o lau masini ma fetu'una'i e mata'ituina ai lau tusi talosaga ma fua.
  2. ** Fausia se fesoʻotaʻiga LangChain **: Faʻaaoga LangChain e fatu ai se fesoʻotaʻiga faʻatalanoaga e mafai ona fegalegaleai ma Kiro ma tuʻuina atu faʻamatalaga moni taimi ma taʻiala i tagata atiaʻe ma faʻalapotopotoga.
  3. ** Faʻatasi Kiro ma LangChain **: Faʻaaoga le LangChain API e faʻapipiʻi ai Kiro ma lau faʻafesoʻotaʻi talanoaga.
  4. Tu'u atu i le gaosiga: Fa'apipi'i lau polokalama ZeroOps i le gaosiga ma fa'ata'ita'i lona fa'atinoga.

Fa'ata'ita'iga Fa'ailoga

O se faʻataʻitaʻiga faigofie lea o le auala e mafai ai ona e faʻaogaina Kiro ma LangChain e faʻaogaina ai se galuega DevOps:

kiro mai fafo
mai langchain faaulufale mai LLMS


kiro_agent = kiro.Agent()

# Fausia se LangChain LLMS
llms = LLMS(
    fa'atusa = "davinci",
    vevela=0.7,
    max_tokens=2048,
    taofi=["\n", "\n\n"],
)

# Fa'amatala se galuega e fa'autometi ai se galuega DevOps
def automate_task():
    # Faʻaaoga Kiro e mataʻituina ai tusi talosaga ma fua
    ogalaau = kiro_agent.get_logs()
    fua = kiro_agent.get_metrics()

    # Faʻaaoga LangChain e faʻavasega ai ogalaau ma fua
    auiliiliga = llms.run(
        input={"logs": logs, "metrics": metrics},
        galuega="su'esu'e",
    )

    # Fai se gaioiga e faʻatatau i auʻiliʻiliga
    pe afai o suʻesuʻega ["reult"] == "faʻamatalaga":
        # Fai fa'asa'oga
        kiro_agent.take_action()

# Faʻaauau le galuega
automate_task()

Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina

O nisi nei o tulafono e masani ona faʻaaogaina ma snippet mo Kiro ma LangChain:

  1. Kiro: kiro_agent.get_logs(): Maua mai tusi talosaga mai Kiro.
  2. Kiro: kiro_agent.get_metrics(): Maua mai fua faatatau talosaga mai Kiro.
  3. LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="analyse"): Iloilo ogalaau ma fua faatatau e faaaoga ai le LangChain.
  4. Kiro: kiro_agent.take_action(): Fai fa'asa'oga fa'atatau ile au'ili'iliga.
  5. LangChain: llms.generate_response(input={"user": "hello"}, task="response"): Fausia se tali i le tagata fa'aoga.
  6. Kiro: kiro_agent.get_status(): Maua le tulaga o le talosaga.
  7. LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="predict"): Va'ai fa'afitauli e ono fa'aogaina i le LangChain.
  8. Kiro: kiro_agent.set_config(config={"log_level": "debug"}): Seti le faatulagaga mo Kiro.
  9. LangChain: llms.run(input={"user": "fesoasoani"}, task="fesoasoani"): Tuuina atu le fesoasoani i le tagata fa'aoga.
  10. Kiro: kiro_agent.get_logs(limit=100): Maua le 100 tusi talosaga mulimuli mai Kiro.

Va'aiga

O se faʻaaliga faigofie o le ZeroOps system e faʻaaoga ai Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["Monitoring", "Suʻesuʻega", "Gaioiga"],
    "fa'amaumauga": [
      {
        "label": "Taimi",
        "faamatalaga": [10, 20, 30],
        "Lulu lanu": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "ZeroOps System"
    },
    "fua": {
      "yAxes": [
        {
          "tiki": {
            "beginAtZero": moni
          }
        }
      ]
    }
  }
}

O lenei faʻaaliga e faʻaalia ai le taimi e faʻaalu mo laasaga taʻitasi o le ZeroOps system, mai le mataʻituina i le gaioiga.

Fa'ai'uga

I totonu o lenei tusiga, ua matou suʻesuʻeina le manatu o ZeroOps taʻiala ma le auala e mafai ai ona faʻaogaina e Kiro AI-powered agents ma LangChain e faʻaleleia ai le faʻaogaina o DevOps, faʻaogaina o atinaʻe faʻapipiʻi faʻapipiʻi ma le faia o filifiliga faʻavae AI. Ua matou tuʻuina atu foʻi se faʻataʻitaʻiga faʻailoga faigofie ma se faʻaaliga o le ZeroOps system. E ala i le faʻatinoina o ZeroOps, e mafai e faʻalapotopotoga ona fausia faiga faʻapipiʻi faʻamalosi e mafai ona faʻafetaui i suiga o siosiomaga ma faʻaitiitia ai le aʻafiaga o faʻalavelave.


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