Yenza i-arhente yeKiro

Ukwakha iiNkqubo zeSoftware eziZimeleyo nge-AI-Powered DevOps Automation

Intshayelelo

Kwimeko yedijithali yanamhlanje ekhawulezayo, iinkqubo zesoftware ziya zisiba nzima kwaye ziqhagamshelene, zibenza babe sesichengeni sokungaphumeleli kunye nexesha lokuphumla. Ukunciphisa le mingcipheko, imibutho iguqukela kwi-AI-powered DevOps automation ukwakha iinkqubo zesoftware ezikwaziyo ukuziqhelanisa nokutshintsha kweemeko kunye nokunciphisa impembelelo yokucima. Kweli nqaku, siza kuphonononga ingqikelelo yezicwangciso zeZeroOps kunye nendlela i-Kiro AI-powered agents kunye neLangChain ezinokuxhatshazwa ngayo ukuze kuphuculwe i-DevOps automation, i-leveraging software-defined infrastructure kunye nokwenziwa kwezigqibo eziqhutywa yi-AI.

Yintoni iZeroOps?

I-ZeroOps isicwangciso se-DevOps esijolise ekupheliseni imfuno yokungenelela kwabantu ekusetyenzisweni nasekulawuleni iinkqubo zesoftware. Oku kuphunyezwa ngokusetyenziswa kwezixhobo ze-automation ze-AI ezikwazi ukubona, ukuxilonga, kunye nokusombulula imiba ngaphandle kokubandakanyeka komntu. I-ZeroOps isekelwe kwimigaqo yokuhlanganiswa okuqhubekayo kunye nokuthunyelwa okuqhubekayo (CI / CD), apho utshintsho lwekhowudi lwakhiwe ngokuzenzekelayo, luvavanywe, kwaye lufakwe kwiindawo zokuvelisa.

I-Kiro AI-Powered Agents

I-Kiro yi-arhente enikwe amandla e-AI enokusetyenziswa ukuzenzekelayo imisebenzi eyahlukeneyo ye-DevOps, njengokubeka iliso, ukugawulwa kwemithi, kunye nesiganeko sokuphendula. I-Kiro isebenzisa i-algorithms yokufunda koomatshini ukuhlalutya idatha yenkqubo kunye nokuqikelela imiba enokubakho ngaphambi kokuba yenzeke. Oku kuvumela ukuba kuthathwe amanyathelo akhawulezileyo ukuthintela ukucima kunye nokunciphisa ixesha lokuphumla.

LangChain

ILangChain yilayibrari yePython ebonelela ngesakhelo sokwakha iingxoxo ze-AI izicelo. Ingasetyenziselwa ukwenza ii-chatbots, abancedisi belizwi, kunye nolunye ujongano lweengxoxo ezinokusebenzisana nabasebenzisi kunye nezinye iinkqubo. I-LangChain iluncedo ngokukhethekileyo ekwakheni iinkqubo ze-ZeroOps, njengoko ingasetyenziselwa ukudala i-interfaces yeengxoxo ezinokubonelela ngengxelo yexesha langempela kunye nesikhokelo kubaphuhlisi kunye nabaqhubi.

Ukuphumeza iZeroOps ngeKiro kunye neLangChain

Ukuphumeza iZeroOps ngeKiro kunye neLangChain, kuya kufuneka silandele la manyathelo:

Seta iKiro: Faka iKiro kwisistim yakho kwaye uyiqwalasele ukujonga iilogi zesicelo sakho kunye neemetrics.
**Yenza i-interface ye-LangChain **: Sebenzisa i-LangChain ukwenza i-interface yengxoxo enokuthi idibanise ne-Kiro kwaye inike ingxelo yexesha langempela kunye nesikhokelo kubaphuhlisi kunye nabaqhubi.
** Hlanganisa iKiro kunye neLangChain **: Sebenzisa iLangChain API ukudibanisa iKiro kunye ne-interface yakho yengxoxo.
**Fakela kwimveliso **: Beka inkqubo yakho yeZeroOps kwimveliso kunye nokuvavanya ukusebenza kwayo.

Umzekelo weKhowudi

Nanku umzekelo olula wendlela onokuyisebenzisa ngayo iKiro kunye neLangChain ukwenza umsebenzi weDevOps:

ngenisa kiro
ukusuka langchain yokungenisa LLMS


kiro_agent = kiro.Agent()

# Yenza iLangChain LLMS
llms = LLMS(
    imodeli="davinci",
    iqondo lobushushu=0.7,
    max_tokens=2048,
    misa=["\n", "\n\n"],
)

# Chaza umsebenzi wokuzenzela umsebenzi weDevOps
def automate_task():
    # Sebenzisa iKiro ukujonga iilogi zesicelo kunye neemetrics
    imiqobo = kiro_agent.get_logs()
    iimetrics = kiro_agent.get_metrics()

    # Sebenzisa iLangChain ukuhlalutya izingodo kunye neemetrics
    uhlalutyo = llms.run(
        input={"logs": logs, "metrics": metrics},
        umsebenzi="hlalutya",
    )

    # Thatha inyathelo ngokusekwe kuhlalutyo
    ukuba uhlalutyo["isiphumo"] == "umcimbi":
        # Thatha amanyathelo okulungisa
        kiro_agent.take_action()

# Qhuba umsebenzi
automate_task()

Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana

Nantsi eminye yemiyalelo edla ngokusetyenziswa kunye neziqwengana zeKiro kunye neLangChain:

Kiro: kiro_agent.get_logs(): Fumana iilog zesicelo kuKiro.
Kiro: kiro_agent.get_metrics(): Fumana usetyenziso lweemetrics kwaKiro.
LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="hlalutya"): Hlalutya iilog kunye neemetrics usebenzisa iLangChain.
Kiro: kiro_agent.take_action(): Thatha inyathelo lolungiso olusekelwe kuhlalutyo.
LangChain: llms.generate_response(input={"user": "molo"}, task="response"): Veza impendulo kwigalelo lomsebenzisi.
Kiro: kiro_agent.get_status(): Fumana ubume besicelo.
LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="predict"): Qikelela imiba enokwenzeka usebenzisa iLangChain.
Kiro: kiro_agent.set_config(config={"log_level": "debug"}): Misela ubumbeko lweKiro.
LangChain: llms.run(input={"user": "help"}, task="help"): Nika uncedo kumsebenzisi.
Kiro: kiro_agent.get_logs(limit=100): Fumana iilog zokugqibela eziyi-100 kuKiro.

Umbono

Nantsi imbonakalo elula yenkqubo yeZeroOps usebenzisa iChart.js:

{
  "type": "bar",
  "idatha": {
    "labels": ["Ukubeka iliso", "Uhlahlelo", "Inyathelo"],
    "iiseti zedatha": [
      {
        "label": "Ixesha",
        "idatha": [10, 20, 30],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "iinketho": {
    "isihloko": {
      "bonisa": yinyani,
      "text": "ZeroOps System"
    },
    "izikali": {
      "yAxes": [
        {
          "amanqaku": {
            "beginAtZero": yinyani
          }
        }
      ]
    }
  }
}

Oku kubonwa kubonisa ixesha elithathiweyo kwinqanaba ngalinye lenkqubo yeZeroOps, ukusuka ekubekweni kweliso ukuya kwisenzo.

Isiphelo

Kweli nqaku, siye sahlola ingqikelelo yezicwangciso zeZeroOps kunye nendlela i-Kiro AI-powered agents kunye neLangChain ezinokuxhatshazwa ngayo ukuze kuphuculwe i-DevOps automation, i-leveraging i-software-defined infrastructure kunye nokwenza izigqibo eziqhutywa yi-AI. Sikwanikeze nomzekelo wekhowudi elula kunye nokubonwa kwenkqubo yeZeroOps. Ngokusebenzisa i-ZeroOps, imibutho inokwakha iinkqubo zesoftware ezikwaziyo ukuziqhelanisa nokutshintsha kweemeko kunye nokunciphisa impembelelo yokuphuma.

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