Ho hlophisa Ntlafatso ea Software ea AI-Powered ka LangChain le StackGen bakeng sa Patlisiso e Ikemetseng ea Ketsahalo | B4N1

Ho hlophisa Ntlafatso ea Software ea AI-Powered ka LangChain le StackGen bakeng sa Patlisiso e Ikemetseng ea Ketsahalo

6 months ago · b4n1 Read time: 5 min

**Ho hlophisa Ntlafatso ea Software ea AI-Powered ka LangChain le StackGen bakeng sa Patlisiso e Ikemetseng ea Ketsahalo **

Selelekela

Ho phahama ha Artificial Intelligence (AI) le automation ho fetotse sebopeho sa nts'etsopele ea software. Ka ho rarahana ho ntseng ho eketseha ha litsamaiso tsa sejoale-joale tsa software, tlhokahalo ea lipatlisiso le tharollo ea liketsahalo tse sebetsang hantle le tse sebetsang e se e le matla ho feta leha e le neng pele. Sehloohong sena, re tla hlahloba bokhoni ba ho sebelisa LangChain le StackGen, lisebelisoa tse peli tse matla tsa 'mino oa' mino, ho iketsetsa lipatlisiso le tharollo ea liketsahalo ka ho sebelisa mochine oa DevOps o tsamaisoang ke AI. Hape re tla batlisisa ka tšebeliso ea AWS DevOps Agent le Claude Agents, 'me re hlahlobe monyetla oa ho nkela lihlopha tsa DevOps sebaka ka automation ea AI-powered.

LangChain ke eng?

LangChain ke mohloli o bulehileng, moralo o thehiloeng ho Python bakeng sa ho haha ​​likopo tse tsamaisoang ke AI. E fana ka sehlopha sa lisebelisoa le lilaebrari bakeng sa ts'ebetso ea puo ea tlhaho (NLP), ho ithuta ka mochini (ML), le saense ea data. LangChain e lumella batho ba ntlafatsang ho etsa mefuta e tloaelehileng ea AI le ho e kopanya le mehloli e fapaneng ea data, e leng se etsang hore e be khetho e nepahetseng bakeng sa ho haha ​​​​liphaephe tsa boiketsetso tsa DevOps tse tsamaisoang ke AI.

StackGen ke eng?

StackGen ke sesebelisoa sa tlhaho sa maru, se bulehileng bakeng sa ho aha le ho laola litšebeletso tsa motheo e le khoutu (IaC). E fana ka syntax e phatlalatsang bakeng sa ho hlalosa meralo ea lits'ebetso le ho tsamaisa phepelo le taolo ea lisebelisoa tsa maru. StackGen e hokahana hantle le LangChain, e thusa bahlahisi ho theha liphaephe tsa IaC tse tsamaisoang ke AI tse iketsetsang lipatlisiso le tharollo ea liketsahalo.

Ho kenya tšebetsong Automation ea AI-Driven DevOps ka LangChain le StackGen

Ho kenya tšebetsong automation ea DevOps e tsamaisoang ke AI ka LangChain le StackGen, re hloka ho latela mehato ena:

  1. ** Hlalosa Mohlala oa AI **: Ho sebelisa LangChain, re hlalosa mokhoa o tloaelehileng oa AI o ka hlahlobang lintlha tsa liketsahalo le ho tseba lisosa tse ka 'nang tsa e-ba teng.
  2. Ho kopanya le StackGen: Re kopanya mohlala oa AI le StackGen, e leng ho o nolofalletsang ho iketsetsa tsamaiso le tsamaiso ea mehloli ea maru.
  3. Lokisa Moemeli oa AWS DevOps: Re lokisa AWS DevOps Agent ho bokella lintlha tsa liketsahalo le ho li romela ho mohlala oa LangChain AI bakeng sa tlhahlobo.
  4. Theha Moemeli oa Claude: Re theha Moemeli oa Claude, mofuta oa AI-powered automation agent e ka nkang sebaka sa lihlopha tsa DevOps.

Mohlala oa Khoutu: Mohlala oa LangChain AI

Mona ke mohlala o bonolo oa khoutu o bonts'ang mokhoa oa ho theha mohlala oa LangChain AI bakeng sa tlhahlobo ea liketsahalo:

import langchain
ho tsoa ho langchain.llms kenya LLM


mohlala = LLM(
    lebitso = "ketsi_tlhahlobo",
    mohlala="text-davinci-003",
    max_length=2048,
)

# Hlalosa lintlha tsa ketsahalo
ketsahalo_data = {
    "incident_id": "INC-001",
    "descript": "Phoso 500 ho seva sa tlhahiso",
    "timestamp": "2023-02-15 14:30:00",
}

# Sekaseka lintlha tsa ketsahalo
tlhahlobo = model.run(
    prompt=f"Hlahloba ketsahalo {incident_data['incident_id']} ka tlhaloso {incident_data['description']}",
)

# Hatisa tlhahlobo
hatisa(tlhahlobo)

Khoutu ena e hlalosa mohlala oa LangChain AI o hlahlobang lintlha tsa liketsahalo le ho fana ka kakaretso ea lisosa tse ka bang teng.

Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa LangChain le StackGen:

  1. langchain llm: Manane a fumanehang LLMs (Mehlala e Meholo ea Lipuo)
  2. langchain model: E hlalosa mokhoa oa tloaelo oa AI
  3. stackgen init: E qala projeke e ncha ea StackGen
  4. stackgen deploy: E romela litlhophiso tsa meralo marung
  5. aws devops agent e bokella: E bokella lintlha tsa liketsahalo ebe e li romela ho mofuta oa LangChain AI
  6. langchain analyze: E hlahloba lintlha tsa liketsahalo ho sebelisa mohlala oa LangChain AI
  7. Ntlafatso ea stackgen: E nchafatsa litlhophiso tsa meralo ea motheo le ho tsamaisa liphetoho marung
  8. langchain generate: E hlahisa kakaretso ea tlhahlobo
  9. stackgen delete: E hlakola tlhophiso ea litšebeletso le lisebelisoa
  10. Terene ea langchain: Koetlisa mohlala oa LangChain AI ka data e ncha

Ponahalo: Pipeline ea Automation ea AI-Driven DevOps

Mona ke pono ea phala ea othomathike ea DevOps e tsamaisoang ke AI e sebelisang Chart.js:

{
  "type": "dag",
  "data": {
    "nodes": [
      {
        "id": "incident_data",
        "label": "Lintlha tsa Ketsahalo",
        "x": 0,
        "y": 0
      },
      {
        "id": "langchain_model",
        "label": "LangChain AI Model",
        "x": 2,
        "y": 0
      },
      {
        "id": "stackgen_infra",
        "label": "StackGen Infrastructure",
        "x": 4,
        "y": 0
      },
      {
        "id": "aws_devops_agent",
        "label": "AWS DevOps Agent",
        "x": 6,
        "y": 0
      },
      {
        "id": "claudia_agent",
        "label": "Claude Agent",
        "x": 8,
        "y": 0
      }
    ],
    "mathoko": [
      {
        "source": "incident_data",
        "target": "langchain_model",
        "label": "Hlahloba"
      },
      {
        "source": "langchain_model",
        "target": "stackgen_infra",
        "label": "Deploy"
      },
      {
        "source": "stackgen_infra",
        "target": "aws_devops_agent",
        "label": "Bokella"
      },
      {
        "source": "aws_devops_agent",
        "target": "claudia_agent",
        "label": "Rarolla"
      }
    ]
  }
}

Ponahalo ena e bonts'a phallo ea data ea liketsahalo ka phala ea othomathike ea AI e tsamaisoang ke AI, ho tloha tlhahlobong ho isa tharollong.

Qetello

Sehloohong sena, re ile ra hlahloba bokhoni ba ho sebelisa LangChain le StackGen ho iketsetsa lipatlisiso le tharollo ea liketsahalo ka ho sebelisa mochine oa DevOps o tsamaisoang ke AI. Re hlahlobile ts'ebeliso ea AWS DevOps Agent le Claude Agents, mme ra buisana ka monyetla oa ho nkela lihlopha tsa DevOps sebaka ka automation ea AI. Ka ho sebelisa lisebelisoa tsena le mahlale a morao-rao, mekhatlo e ka ntlafatsa linako tsa karabelo ea liketsahalo, ea fokotsa nako, le ho ntlafatsa ts'epo ea sistimi ka kakaretso.

Mosebetsi o Tlang

Mosebetsi oa nakong e tlang sebakeng sena o kenyelletsa:

  • Ho theha mefuta e tsoetseng pele ea AI bakeng sa tlhahlobo le tharollo ea liketsahalo
  • Ho kopanya LangChain le StackGen le lisebelisoa tse ling tsa DevOps le sethala
  • Ho lekola ts'ebeliso ea li-automation tse ling tse tsamaisoang ke AI, joalo ka Claude Agents
  • Ho etsa lipatlisiso tse ling mabapi le katleho ea li-automation tsa AI-driven DevOps maemong a nnete a lefats'e.

Ka ho tsoela pele ho qapa le ho ntlafatsa li-automation tsa DevOps tse tsamaisoang ke AI, re ka theha mekhoa ea ntlafatso ea software e sebetsang hantle, e sebetsang le e tšepahalang e tsoelang mekhatlo le basebelisi ba ho qetela molemo.


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