** Haɓaka Agent AI don DevOps Automation tare da Kiro da LangChain ***

** Gabatarwa ***

A cikin yanayin haɓaka software mai sauri na yau, ƙungiyoyin DevOps suna neman hanyoyin da za su inganta inganci da amincin ci gaba da haɗa su da ci gaba da tura bututun (CI/CD). Hanya ɗaya mai ban sha'awa ita ce yin amfani da AI mai aiki, wanda ke ba da damar ƙirƙirar wakilai masu hankali waɗanda za su iya sarrafa kansa da haɓaka ayyukan DevOps. A cikin wannan labarin, za mu bincika yadda ake aiwatar da ma'aikatan AI-powered ta amfani da Kiro da LangChain, tsarin sassa biyu masu yankewa waɗanda ke juyin juya hali na DevOps automation.

** Menene Agent AI?**

Agent AI yana nufin nau'in hankali na wucin gadi wanda aka tsara don aiwatar da ayyuka da kansa, kamar wakilin ɗan adam. A cikin mahallin DevOps, ana iya amfani da AI mai aiki don sarrafa ayyuka kamar gini, gwaji, da tura aikace-aikacen software. Ta hanyar ba da damar koyan na'ura da dabarun sarrafa harshe na halitta (NLP), wakilan AI na aiki za su iya koyo daga gogewa da daidaitawa ga canjin yanayi, yana mai da su manufa don hadaddun ayyuka masu ƙarfi da ƙarfi na DevOps.

** Gabatar da Kiro da LangChain ***

Kiro da LangChain ginshiƙai ne na buɗaɗɗen tushe guda biyu waɗanda aka tsara musamman don gina tsarin AI na wakili. Kiro shine tsarin tushen tsatsa wanda ke ba da dandamali mai ƙarfi da ƙima don gina wakilai masu hankali, yayin da LangChain shine tsarin tushen Python wanda ke mai da hankali kan NLP da fahimtar harshe.

**Kiro: Tsarin tushen Tsatsa don Gina Wakilan Hankali ***

Kiro shine tsarin tushen tsatsa na zamani wanda ke ba da cikakkiyar dandamali don gina wakilai masu hankali. Tare da Kiro, masu haɓakawa za su iya ƙirƙirar wakilai waɗanda za su iya yin hulɗa tare da tsarin, ayyuka, da hanyoyin bayanai daban-daban, da aiwatar da ayyuka kamar:

Aiki ta atomatik da tafiyar matakai
Yin nazarin bayanai da yanke shawara
Sadarwa da mutane da sauran tsarin

An tsara tsarin gine-ginen Kiro don ya zama mai girma da sassauƙa, yana mai da shi kyakkyawan zaɓi don manyan ayyukan sarrafa kansa na DevOps.

** LangChain: Tsarin tushen Python don NLP da fahimtar Harshe ***

LangChain shine tsarin tushen Python wanda ke mai da hankali kan NLP da fahimtar harshe. Tare da LangChain, masu haɓakawa na iya ƙirƙirar wakilai waɗanda za su iya fahimta da samar da harshe irin na ɗan adam, da yin ayyuka kamar:

sarrafa harshe na halitta (NLP)
Binciken rubutu da nazarin jin daɗi
Fassarar harshe da tsarawa

An ƙera gine-ginen LangChain don ya zama na zamani sosai kuma mai iyawa, yana mai da shi kyakkyawan zaɓi don gina NLP na al'ada da damar fahimtar harshe.

** Aiwatar da Ma'aikatan AI-Powered tare da Kiro da LangChain ***

Don nuna ikon Kiro da LangChain, bari mu yi la'akari da misali mai sauƙi na gina wani wakili mai ƙarfin AI wanda ke sarrafa bututun CI/CD. A cikin wannan misalin, za mu yi amfani da Kiro don ƙirƙirar wakili wanda zai iya yin hulɗa tare da ma'ajiyar Git, ginawa da gwada lambar, da tura aikace-aikacen zuwa dandalin girgije.

Anan akwai shingen lamba mai sauƙi wanda ke nuna yadda ake ƙirƙirar wakili na Kiro wanda ke sarrafa bututun CI/CD: `` Python shigo da kiro daga shigo da langchain LLAMA

wakili = kiro.Agent( suna = "ci_cd_agent", bayanin = "Mai sarrafa bututun CI / CD", ayyuka =[ kiro.Action( suna = "git_clone", bayanin = "Rufe ma'ajiyar Git", code = "" shigo da git repo = git.Repo.clone("https://github.com/user/repo.git") """ ), kiro.Action( suna = "gina", description="Gina lambar", code = "" shigo da subprocess subprocess.run (["make", "gina")) """ ), kiro.Action( suna = "gwaji", description="Yana gudanar da gwaje-gwaje", code = "" shigo da subprocess subprocess.run (["yi", "gwaji")) """ ), kiro.Action( suna = "aikin", description="Yana ƙaddamar da aikace-aikacen", code = "" shigo da subprocess subprocess.run (["make", "deploy")) """ ) ] )

Ƙirƙiri samfurin LangChain LLAMA

llama = LLAMA( suna = "llama_model", description=" samfurin LLAMA don fahimtar harshe", code = "" shigo da langchain model = langchain.LLAMA( suna = "llama_model", description=" samfurin LLAMA don fahimtar harshe", code = "" shigo da langchain model = langchain.LLAMA( suna = "llama_model", description=" samfurin LLAMA don fahimtar harshe", code = "" def process_text(rubutu): # Gudanar da rubutun ta amfani da samfurin LLAMA mayar da rubutu """ ) """ ) """ )

Ƙirƙiri wakilin Kiro wanda ke amfani da ƙirar LangChain LLAMA

Gudanar da wakili

wakili.run()

Wannan toshe lambar yana nuna yadda ake ƙirƙirar wakili na Kiro wanda ke sarrafa bututun CI/CD ta amfani da samfurin LangChain LLAMA don fahimtar harshe. Wakilin zai iya yin hulɗa tare da ma'ajiyar Git, ginawa da gwada lambar, da tura aikace-aikacen zuwa dandalin girgije.

** Manyan Dokoki 5-10 da Akafi Amfani da su/Snippets**

Anan akwai manyan umarni 5-10 da aka fi amfani da su/snippets don Kiro da LangChain:

1. `kiroutil init': Ya fara sabon aikin Kiro.
2. 'kiroutil build': Gina wakili na Kiro.
3. `langchain init': An fara sabon aikin LangChain.
4. `langchain gini': Gina samfurin LangChain.
5. 'kiroutil run': Gudanar da wakili na Kiro.
6. 'gwajin langchain': Gwada samfurin LangChain.
7. `kiroutil deploy`: Yana tura wakilin Kiro zuwa dandalin girgije.
8. `langchain kimanta': Yana kimanta samfurin LangChain.
9. `kiroutil debug`: Yana gyara wani wakili na Kiro.
10. `langchain visualize': Yana ganin samfurin LangChain.

**Kallon gani**

Anan ga hangen nesa na Kiro da LangChain gine ta amfani da Chart.js:
Json
{
  "type": "bar",
  "data": {
    "labels": ["Kiro", "LangChain"],
    "datasets": [
      {
        "label": "Architecture",
        "bayanai": [100, 80],
        "Bayan launi": ["#4CAF50", "#FF9800"]
      }
    ]
  },
  "zaɓi": {
    "take": {
      "nuna": gaskiya,
      "rubutu": "Kiro da LangChain Architecture"
    },
    "tatsuniya": {
      "nuni": gaskiya
    }
  }
}

Wannan hangen nesa yana nuna babban matakin gine-gine na Kiro da LangChain, yana nuna ƙarfi da raunin su.

Kammalawa

A cikin wannan labarin, mun bincika ikon AI mai aiki don sarrafa DevOps ta amfani da Kiro da LangChain. Ta hanyar yin amfani da waɗannan ginshiƙai masu mahimmanci, masu haɓakawa za su iya ƙirƙirar wakilai masu hankali waɗanda za su iya sarrafa kansa da inganta bututun CI/CD, inganta ingantaccen isar da software da rage haɗarin kurakurai. Tare da Kiro da LangChain, masu haɓakawa na iya ƙirƙirar NLP na al'ada da damar fahimtar harshe, da yin hulɗa tare da tsarin, ayyuka, da tushen bayanai. Mun kuma bayar da ƙaƙƙarfan toshe lambar da ke nuna yadda ake ƙirƙirar wakili na Kiro wanda ke sarrafa bututun CI / CD ta amfani da samfurin LangChain LLAMA don fahimtar harshe.

Ƙirƙiri wakilin Kiro

Ƙirƙiri samfurin LangChain LLAMA

Ƙirƙiri wakilin Kiro wanda ke amfani da ƙirar LangChain LLAMA

Gudanar da wakili

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