Ƙirƙiri misali Kiro | B4N1

Ƙirƙiri misali Kiro

3 months ago · b4n1 Read time: 4 min

** Aiwatar da AI-Powerd DevOps Automation tare da Kiro da LangChain ***

** Gabatarwa ***

Duniyar DevOps tana ci gaba da sauri, tare da haɗin kai na Artificial Intelligence (AI) da Koyon Inji (ML) yana ƙara yin fice. Ma'aikatan AI masu ƙarfi, irin su Kiro, suna yin juyin juya hali ta hanyar da muke kusanci aiki da kai a cikin DevOps, ba da damar ƙungiyoyi su daidaita ayyukan IT da haɓaka inganci. A cikin wannan labarin, za mu bincika haɗin kai na Kiro AI-powered agents tare da LangChain, ƙayyadadden tsari don gina aikace-aikacen AI na tattaunawa. Za mu zurfafa cikin sabbin ci gaba a cikin AI da injiniyan software, kuma za mu samar da misalai masu amfani na yadda ake amfani da wannan fasaha don sarrafa hadaddun ayyuka na DevOps.

Menene Kiro?

Kiro wakili ne na AI wanda ke ba ƙungiyoyi damar sarrafa ayyuka masu rikitarwa da ayyukan aiki. Yana amfani da sarrafa harshe na halitta (NLP) da algorithms koyon injin don fahimta da ba da amsa ga shigar da mai amfani, yana mai da shi mafita mai kyau don sarrafa kansa na DevOps. Kiro za a iya haɗa shi tare da kayan aiki da dandamali daban-daban, gami da LangChain, don ƙirƙirar ƙwarewar sarrafa kansa mara kyau.

** Menene LangChain?**

LangChain tsari ne don gina aikace-aikacen AI na tattaunawa. Yana ba da saitin kayan aiki da ɗakunan karatu waɗanda ke ba masu haɓaka damar ƙirƙirar faifan hira, mataimakan murya, da sauran hanyoyin tattaunawa. An gina LangChain a saman harshen shirye-shiryen Rust kuma yana ba da babban matakin API don gina aikace-aikacen AI.

Haɗuwa da Kiro

Haɗin Kiro da LangChain yana bawa ƙungiyoyi damar ƙirƙirar ayyukan aiki na DevOps mai sarrafa AI. Tare da Kiro, masu haɓakawa na iya ayyana hadaddun ayyukan aiki da ayyuka, yayin da LangChain ke ba da damar tattaunawa don masu amfani don yin hulɗa tare da waɗannan ayyukan aiki. Wannan haɗin kai yana bawa ƙungiyoyi damar sarrafa ayyuka masu yawa na DevOps, gami da:

  • ** Samar da ababen more rayuwa ***: Kiro na iya sarrafa sarrafa samar da albarkatun ababen more rayuwa, kamar injina da kwantena, ta amfani da hanyar tattaunawa ta LangChain.
  • ** Ƙaddamarwa da ƙaddamarwa ***: Kiro na iya sarrafa aikin turawa da ƙaddamar da aikace-aikace, ta amfani da hanyar tattaunawa ta LangChain don sarrafa tsarin.
  • ** Kulawa da shiga ***: Kiro na iya sarrafa sa ido da shiga aikace-aikace, ta amfani da yanayin tattaunawa na LangChain don samar da fahimtar ainihin lokacin.

** Misalin Aiki: Samar da Kayan Aiki ta atomatik ***

Ga misali mai sauƙi na yadda ake sarrafa samar da ababen more rayuwa ta amfani da Kiro da LangChain: `` Python shigo da langchain daga kiro shigo da Kiro

Kiro = Kiro()

Ƙayyade tsarin aiki don samar da albarkatun kayan aiki

def provision_infrastructure(user_input): # Yi amfani da yanayin tattaunawa na LangChain don samun shigarwar mai amfani user_input = langchain.get_user_input(user_input)

# Yi amfani da Kiro don samar da albarkatun ababen more rayuwa
kiro.provision_resources(user_input)

# Koma saƙon nasara
dawo "An samar da kayan aikin cikin nasara"

Ƙirƙiri misalin LangChain chatbot

chatbot = langchain.Chatbot(provision_infrastructure)

Fara chatbot

chatbot.start()

Wannan lambar tana bayyana sauƙin aiki don samar da albarkatun kayan aiki ta amfani da Kiro da LangChain. Aikin `provision_infrastructure` yana amfani da hanyar sadarwa ta LangChain don samun shigar da mai amfani, sannan kuma yana amfani da Kiro don samar da albarkatun ababen more rayuwa.

** 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. **`kiro.provision_resources(user_input)`**: Samar da kayan more rayuwa ta amfani da Kiro.
2. **`langchain.get_user_input(user_input)`**: Yana samun shigarwar mai amfani ta amfani da hanyar tattaunawa ta LangChain.
3. **`kiro.deploy_application(user_input)`**: Yana tura aikace-aikace ta amfani da Kiro.
4. **`langchain.monitor_application(user_input)`**: Yana sa ido kan aikace-aikace ta amfani da yanayin tattaunawa na LangChain.
5. **`kiro.rollout_application(user_input)`**: Ana fitar da aikace-aikace ta amfani da Kiro.
6. **`langchain.log_application(user_input)`**: Yana yin rajistar aikace-aikacen ta amfani da yanayin tattaunawa na LangChain.
7. **`kiro.create_workflow(user_input)`**: Yana ƙirƙira aikin aiki ta amfani da Kiro.
8. **`langchain.get_workflow_status(user_input)`**: Yana samun matsayin tafiyar aiki ta amfani da yanayin tattaunawa na LangChain.
9. **`kiro.update_workflow(user_input)`**: Yana sabunta tsarin aiki ta amfani da Kiro.
10. **`langchain.delete_workflow(user_input)`**: Yana goge aikin aiki ta amfani da yanayin tattaunawa na LangChain.

**Kallon gani**

Anan ga sauƙin gani na haɗin Kiro da LangChain ta amfani da Chart.js:
Json
{
  "type": "bar",
  "data": {
    "labels": ["Samar da Kayan Aiki", "Tsarin aiki da Fitar", "Sabida da Shigarwa"],
    "datasets": [
      {
        "label": "Kiro",
        "bayanai": [10, 20, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "BorderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "LangChain",
        "bayanai": [20, 30, 40],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "BorderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "zaɓi": {
    "take": {
      "nuna": gaskiya,
      "rubutu": "Haɗin Kiro da LangChain"
    },
    "ma'auni": {
      "yAxes": [
        {
          "zama": {
            "beginAtZero": gaskiya
          }
        }
      ]
    }
  }
}

Wannan hangen nesa yana nuna haɗin Kiro da LangChain, tare da Kiro da LangChain kowanne yana ba da gudummawa ga bangarori daban-daban na aikin sarrafa DevOps.

Kammalawa

Haɗin Kiro da LangChain yana bawa ƙungiyoyi damar sarrafa hadaddun ayyuka na DevOps ta amfani da ma'aikatan AI. Tare da Kiro, masu haɓakawa na iya ayyana hadaddun ayyukan aiki da ayyuka, yayin da LangChain ke ba da damar tattaunawa don masu amfani don yin hulɗa tare da waɗannan ayyukan aiki. Wannan haɗin kai yana bawa ƙungiyoyi damar daidaita ayyukan IT, inganta inganci, da rage farashi. Ta hanyar haɓaka sabbin ci gaba a cikin AI da injiniyan software, ƙungiyoyi za su iya ƙirƙirar ƙwarewar aiki da kai wanda ya dace da bukatun masu amfani da su.


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