Leveraging Agetic AI bakeng sa Meaho ea Software le DevOps Automation | B4N1

Leveraging Agetic AI bakeng sa Meaho ea Software le DevOps Automation

8 months ago · b4n1 Read time: 5 min

Kenyelletso

Phetoho e potlakileng ea Artificial Intelligence (AI) le Machine Learning (ML) e lebisitse ho nts'etsopele ea agent AI, mofuta oa AI o ka nkang liketso le ho iketsetsa liqeto. Theknoloji ena e na le monyetla oa ho fetola tsela eo re atamelang meralo ea software le DevOps automation. Sehloohong sena, re tla hlahloba ho kopanngoa ha agent AI, Large Language Models (LLMs), le lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy ho iketsetsa meralo ea software, lisebelisoa tsa motheo, le mekhoa ea DevOps.

Agetic AI ke eng?

Agetic AI e bua ka mofuta oa AI o ka nkang liketso le ho iketsetsa liqeto. Sena se fapane le litsamaiso tsa setso tsa AI, tseo hangata li etselitsoeng ho etsa mesebetsi e itseng le ho latela sehlopha sa melao e boletsoeng esale pele. Litsamaiso tsa AI tsa AI, ka lehlakoreng le leng, li etselitsoe ho ikemela le ho ikamahanya le maemo, ho ba lumella ho ithuta tikolohong ea bona le ho etsa liqeto ho latela lipheo le merero ea bona.

Karolo ea LLM ho Agent AI

Mehlala e Meholo ea Lipuo (LLMs) ke mofuta oa AI o koetliselitsoeng lintlha tse ngata tsa mongolo 'me o khona ho hlahisa puo e kang ea motho. Li-LLM ke karolo ea bohlokoa ea litsamaiso tsa AI, kaha li fana ka bokhoni ba ho utloisisa le ho hlahisa puo ea batho. Sena se lumella litsamaiso tsa AI tsa agency ho buisana le batho le litsamaiso tse ling ka tsela ea tlhaho le e hlakileng.

Lisebelisoa tsa Orchestration: LangChain le DSPy

Lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy li etselitsoe ho laola le ho hokahanya litšebelisano pakeng tsa mekhoa le likarolo tse fapaneng. Lisebelisoa tsena li fana ka mokhoa oa ho hlalosa le ho phethahatsa ts'ebetso ea mosebetsi, e ka kenyelletsang mesebetsi e kang ts'ebetso ea data, koetliso ea mohlala, le ho tsamaisa.

LangChain

LangChain ke sesebelisoa sa 'mino o bulehileng oa mohloli o fanang ka moralo o feto-fetohang le o atolositsoeng oa ho aha le ho laola phallo ea mosebetsi. LangChain e etselitsoe ho sebetsa ka mefuta e mengata ea litsamaiso le likarolo, ho kenyeletsoa LLMs, databases, le APIs.

DSPy

DSPy ke sesebelisoa sa 'mino o thehiloeng ho Python se fanang ka mokhoa o bonolo le o hlakileng oa ho hlalosa le ho etsa phallo ea mosebetsi. DSPy e etselitsoe ho sebetsa ka mefuta e mengata ea litsamaiso le likarolo, ho kenyeletsoa LLMs, databases, le APIs.

Ho iketsetsa Mehaho ea Software le Mekhoa ea DevOps

Agentic AI, LLMs, le lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy li ka sebelisoa ho iketsetsa mefuta e mengata ea meralo ea software le mekhoa ea DevOps. Mehlala e meng e kenyelletsa:

  • Tlhahlobo ea khouto e itirisang: Lits'ebetso tsa AI tsa AI li ka sebelisoa ho hlahloba khoutu le ho tseba mathata a ka bang teng, joalo ka likokoana-hloko le bofokoli ba ts'ireletso.
  • Teko e itirisang: Lits'ebetso tsa Agetic AI li ka sebelisoa ho itlhahloba, ho kenyeletsoa tlhahlobo ea yuniti, tlhahlobo ea ho kopanya, le tlhahlobo ea ho qetela.
  • Tsamaiso e itirisang: Sistimi ea Agent AI e ka sebelisoa ho tsamaisa thomello, ho kenyeletsoa le ho kenya khoutu, tlhophiso, le lisebelisoa tse ling.
  • Tlhahlobo e itirisang: Lits'ebetso tsa Agent AI li ka sebelisoa ho beha leihlo, ho kenyeletsoa le tlhahlobo ea ts'ebetso ea sistimi, ts'ireletso, le metrics e meng.

Phethahatso e sebetsang

Karolong ena, re tla fana ka mohlala o bonolo oa mokhoa oa ho sebelisa LangChain le DSPy ho iketsetsa moralo oa software le mokhoa oa DevOps.

Mohlala: Tlhahlobo ea Khoutu ea Boiketsetso

Mohlala ona, re tla sebelisa LangChain le DSPy ho iketsetsa tlhahlobo ea khoutu. Re tla hlalosa mokhoa oa ho sebetsa o kenyelletsang mehato e latelang:

  1. Tlhahlobo ea Khoutu: Tsamaiso ea mosebetsi e tla sebelisa LLM ho sekaseka khoutu le ho tseba lintlha tse ka hlahang.
  2. **Tlhahlobo ea Khoutu **: Ts'ebetso ea mosebetsi e tla sebelisa tsamaiso ea AI ea agency ho hlahloba khoutu le ho tseba lintlha tse ka 'nang tsa e-ba teng.
  3. **Ho romelloa ha khoutu **: Ts'ebetso ea ts'ebetso e tla sebelisa sesebelisoa sa ho tsamaisa ho kenya khoutu sebakeng sa tlhahiso.

Mona ke mohlala oa mokhoa oa ho kenya ts'ebetsong ts'ebetso ena ka LangChain le DSPy:

import langchain
ho tsoa ho langchain import LLM

# Hlalosa LLM
llm = LLM("text-davinci-003")

# Hlalosa sistimi ea AI ea agent
ai_system = langchain.AgenticAI()

# Hlalosa mokhoa oa ho sebetsa
mosebetsi = langchain.Motsamao oa mosebetsi(
    mehato=[
        langchain.Mohato(
            lebitso = "Tlhahlobo ea khoutu",
            func=llm.analyze_code,
            inputs={"code": "def hello_world(): print('Hello World')"},
        ),
        langchain.Mohato(
            lebitso = "Tlhahlobo ea khoutu",
            func=ai_system.review_code,
            inputs={"code": "def hello_world(): print('Hello World')"},
        ),
        langchain.Mohato(
            lebitso = "Ho tsamaisa khoutu",
            func=langchain.deploy_code,
            inputs={"code": "def hello_world(): print('Hello World')"},
        ),
    ]
)

# Kenya ts'ebetso ea ts'ebetso
workflow.execute()

Khoutu ena e hlalosa mokhoa oa ho sebetsa o kenyelletsang mehato e meraro: tlhahlobo ea khoutu, tlhahlobo ea khoutu, le phepelo ea khoutu. Ts'ebetso ea ts'ebetso e sebelisa LLM ho hlahloba khoutu, tsamaiso ea AI ea agency ho hlahloba khoutu, le sesebelisoa sa ho tsamaisa ho tsamaisa khoutu sebakeng sa tlhahiso.

Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa

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

  1. langchain.Workflow(mehato=[...]): Hlalosa phallo ea mosebetsi ka mehato e mengata.
  2. langchain.Mohato(lebitso="...", func=..., inputs={...}): Hlalosa mohato o le mong oa tšebetso.
  3. llm.analyze_code(inputs={"code": ...}): Sebelisa LLM ho sekaseka khoutu.
  4. ai_system.review_code(inputs={"code": ...}): Sebelisa sistimi ea AI ho hlahloba khoutu.
  5. langchain.deploy_code(inputs={"code": ...}): Kenya khoutu sebakeng sa tlhahiso.
  6. langchain.AgenticAI(): Etsa mohlala oa tsamaiso ea AI ea boits'oaro.
  7. langchain.LLM(): Etsa mohlala oa LLM.
  8. langchain.deploy_code(): Kenya khoutu sebakeng sa tlhahiso.
  9. langchain.execute_workflow(): Phetha tšebetso.
  10. langchain.get_workflow_status(): Fumana boemo ba mosebetsi.

Ho bona pono

Mohlala ke ona oa mokhoa oa ho bona ts'ebetso ea ts'ebetso u sebelisa Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Analysis Code", "Code Review", "Code Deployment"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Mehato ea Tsamaiso",
        "data": [10, 20, 30],
        "backgroundColour": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)",
          "rgba(255, 206, 86, 0.2)"
        ],
        "Mmala oa moeli": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)",
          "rgba(255, 206, 86, 1)"
        ],
        "borderWidth": 1
      }
    ]
  },
  "likgetho": {}
}

Khoutu ena e hlalosa chate ea bar e nang le mangolo a mararo: Tlhahlobo ea Khoutu, Tlhahlobo ea Khoutu, le Phatlalatso ea Khoutu. Chate e bonts'a palo ea mehato mohatong ka mong oa phallo ea mosebetsi.

Qetello

Agentic AI, LLMs, le lisebelisoa tsa 'mino oa liletsa tse kang LangChain le DSPy li na le monyetla oa ho fetola tsela eo re atamelang meralo ea software le DevOps automation. Ka ho iketsetsa mesebetsi e kang tlhahlobo ea khoutu, tlhahlobo le phepelo, re ka ntlafatsa ts'ebetso le katleho ea lits'ebetso tsa rona tsa nts'etsopele. Sehloohong sena, re hlahlobile kopanyo ea mahlale ana mme ra fana ka mohlala o bonolo oa mokhoa oa ho li sebelisa ho iketsetsa moralo oa software le ts'ebetso ea DevOps.

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