Kutsegula ZeroOps ndi AI Agents ndi Context Engineering: Njira Yokhazikitsidwa ndi Patani ya AI DevOps Automation pogwiritsa ntchito StackGen ndi LangChain | B4N1

Kutsegula ZeroOps ndi AI Agents ndi Context Engineering: Njira Yokhazikitsidwa ndi Patani ya AI DevOps Automation pogwiritsa ntchito StackGen ndi LangChain

8 months ago · b4n1 Read time: 5 min

Kutsegula ZeroOps ndi AI Agents ndi Context Engineering: Njira Yotengera Pachitsanzo ku AI DevOps Automation pogwiritsa ntchito StackGen ndi LangChain

Chiyambi

M'malo omwe akukula mwachangu pakupanga mapulogalamu, lingaliro la ZeroOps latulukira ngati njira yosinthira makina a DevOps. ZeroOps ikufuna kuthetsa kufunikira kwa kulowererapo pamanja pakuyika ndi kasamalidwe ka mapulogalamu apulogalamu, zomwe zimapangitsa omanga kuti aziyang'ana kwambiri ntchito zapamwamba monga luso komanso luso. Munkhaniyi, tifufuza za dziko la ZeroOps ndikuwunika momwe ma AI othandizira ndi uinjiniya wazomwe angathandizire kuti akwaniritse cholingachi. Tidzakambirananso za kukhazikitsidwa kwa njira yopangira ma AI DevOps automation pogwiritsa ntchito StackGen ndi LangChain.

ZeroOps ndi chiyani?

ZeroOps ndi paradigm ya DevOps yomwe imafuna kusinthiratu moyo wonse wa chitukuko cha mapulogalamu, kuchokera pachitukuko kupita ku kutumiza ndi kasamalidwe. Cholinga chachikulu cha ZeroOps ndikuchotsa kufunikira kwa kulowererapo pamanja pakuyika ndi kuyang'anira machitidwe a mapulogalamu, potero kuchepetsa kuthekera kwa zolakwika za anthu ndikuwonjezera liwiro komanso mphamvu yoperekera mapulogalamu.

Ma AI Agents ndi Context Engineering

Othandizira a AI ndi mainjiniya azinthu amatenga gawo lofunikira pakukhazikitsa ZeroOps. Othandizira a AI ndi mapulogalamu apakompyuta omwe amatha kuzindikira chilengedwe chawo ndikuchitapo kanthu kuti akwaniritse zolinga zake. Komano, uinjiniya wamawu, umaphatikizapo kupanga ndi kukhazikitsa machitidwe omwe amatha kumvetsetsa ndikuyankha momwe amagwirira ntchito.

Pankhani ya ZeroOps, othandizira a AI atha kugwiritsidwa ntchito kupanga ntchito zosiyanasiyana monga kutumiza, kuyesa, ndi kuyang'anira. Context engineering ingagwiritsidwe ntchito kupanga machitidwe omwe amatha kumvetsetsa momwe amagwirira ntchito, monga chilengedwe, wogwiritsa ntchito, ndi ntchito yomwe akugwira.

**StackGen: Njira Yotengera Pachitsanzo ku AI DevOps Automation **

StackGen ndi chimango chotseguka chomwe chimathandizira opanga mapulogalamu kuti azitha kugwiritsa ntchito njira yokhazikika ya AI DevOps automation. StackGen imapereka mndandanda wazomwe zidafotokozedweratu ndi ma tempuleti omwe angagwiritsidwe ntchito kupanga ntchito zosiyanasiyana monga kutumiza, kuyesa, ndi kuyang'anira.

StackGen imamangidwa pamwamba pa LangChain, chimango chomwe chimathandiza omanga kupanga makina ochezera a AI. LangChain imapereka ma API ndi zida zomwe zingagwiritsidwe ntchito pomanga machitidwe oyankhulana a AI omwe amatha kumvetsetsa ndikuyankha zolowetsa chinenero chachibadwa.

LangChain: Kumanga Zokambirana za AI Systems

LangChain ndi chimango chomwe chimathandiza omanga kupanga makina ochezera a AI. LangChain imapereka ma API ndi zida zomwe zingagwiritsidwe ntchito pomanga machitidwe oyankhulana a AI omwe amatha kumvetsetsa ndikuyankha zolowetsa chinenero chachibadwa.

LangChain imamangidwa pamwamba pa matekinoloje angapo otsegula, kuphatikizapo TensorFlow ndi PyTorch. LangChain imapereka ma API ndi zida zomwe zingagwiritsidwe ntchito pomanga machitidwe oyankhulana a AI omwe amatha kumvetsetsa ndikuyankha zolowetsa chinenero chachibadwa.

Kukhazikitsa ZeroOps ndi StackGen ndi LangChain

Kuti tigwiritse ntchito ZeroOps ndi StackGen ndi LangChain, tiyenera kutsatira njira zingapo:

  1. Tanthauzirani AI Agent: Gawo loyamba pakukhazikitsa ZeroOps ndikutanthauzira wothandizira wa AI yemwe adzagwiritsidwe ntchito popanga ntchito zosiyanasiyana. Wothandizira AI angatanthauzidwe pogwiritsa ntchito njira zingapo zomwe zafotokozedwa kale ndi ma templates operekedwa ndi StackGen.
  2. ** Pangani Context Engine **: Chotsatira ndicho kupanga injini yachidziwitso yomwe idzagwiritsidwe ntchito kumvetsetsa ndi kuyankha pazomwe a AI akugwira ntchito. Injini yamtunduwu imatha kupangidwa pogwiritsa ntchito ma API angapo ndi zida zoperekedwa ndi LangChain.
  3. ** Gwiritsani ntchito AI Agent **: Pamene wothandizila wa AI ndi injini yachidziwitso atafotokozedwa, sitepe yotsatira ndiyo kukhazikitsa wothandizira AI pogwiritsa ntchito ma API angapo ndi zida zoperekedwa ndi StackGen ndi LangChain.
  4. **Yesani ndi Kutumiza **: Chomaliza ndicho kuyesa ndi kutumiza wothandizira AI kumalo opangira.

Chitsanzo Code: Kukhazikitsa Wosavuta AI Agent pogwiritsa ntchito StackGen ndi LangChain

Nayi chitsanzo cha code block chomwe chikuwonetsa momwe mungakhazikitsire wothandizira wa AI wosavuta pogwiritsa ntchito StackGen ndi LangChain:

import langchain
kuchokera ku langchain.chains kuitanitsa LLMChain
kuchokera ku langchain.llms import LLM


ai_agent = LLMChain (
    llm=LLM(
        model_name = "davinci:3-batch",
        kutentha=0.5,
        max_tokens=100,
    ),
    input_format="text",
    output_format="text",
)

# Fotokozerani injini yankhaniyo
context_engine = langchain.ContextEngine(
    llm=LLM(
        model_name = "davinci:3-batch",
        kutentha=0.5,
        max_tokens=100,
    ),
    input_format="text",
    output_format="text",
)

# Gwiritsani ntchito wothandizira wa AI
ai_agent.implement(
    context_engine=context_injini,
    input_text="Moni, muli bwanji?",
)

# Yesani ndikutumiza wothandizira wa AI
ai_agent.test_and_deploy(
    input_text="Moni, muli bwanji?",
)

Chida ichi chikuwonetsa momwe mungakhazikitsire wothandizira wa AI wosavuta pogwiritsa ntchito StackGen ndi LangChain. Wothandizira AI amatanthauzidwa pogwiritsa ntchito njira zingapo zomwe zafotokozedwa kale ndi ma templates operekedwa ndi StackGen. Injini yamtunduwu imapangidwa pogwiritsa ntchito ma API angapo ndi zida zoperekedwa ndi LangChain. Wothandizira AI akugwiritsidwa ntchito pogwiritsa ntchito ma API angapo ndi zida zoperekedwa ndi StackGen ndi LangChain. Pomaliza, wothandizira wa AI amayesedwa ndikuyikidwa pamalo opangira.

**Malamulo/Zidutswa Zapamwamba za 5-10 **

Nawa malamulo/zidutswa 5-10 zomwe zimagwiritsidwa ntchito kwambiri pa StackGen ndi LangChain:

  1. langchain.LLMChain(): Amapanga chinthu chatsopano cha LLM.
  2. langchain.ContextEngine(): Imapanga chinthu chatsopano cha injini.
  3. LLM(model_name="davinci:3-batch", temperature=0.5, max_tokens=100): Amapanga chinthu chatsopano cha LLM chokhala ndi dzina lachitsanzo, kutentha, ndi ma tokeni ochuluka.
  4. ai_agent.implement(context_engine=context_engine, input_text="Moni, muli bwanji?"): Imakwaniritsa wothandizila wa AI pogwiritsa ntchito injini yankhani yomwe yatchulidwa ndi mawu olowetsamo.
  5. ai_agent.test_and_deploy(input_text="Moni, muli bwanji?"): Yesani ndi kutumiza wothandizila wa AI pogwiritsa ntchito mawu olowera.
  6. langchain.llms.LLM(): Amapanga chinthu chatsopano cha LLM.
  7. langchain.chains.LLMChain(): Amapanga chinthu chatsopano cha LLM.
  8. langchain.ContextEngine(llm=LLM(model_name="davinci:3-batch", temperature=0.5, max_tokens=100)): Amapanga chinthu chatsopano cha injini yamutu pogwiritsa ntchito chinthu chotchulidwa cha LLM.
  9. ai_agent.context_engine = langchain.ContextEngine(llm=LLM(model_name="davinci:3-batch", kutentha=0.5, max_tokens=100)): Imayika injini yachidziwitso cha agent ya AI ku chinthu cha injini yankhani yomwe yatchulidwa.
  10. ai_agent.input_text = "Moni, muli bwanji?": Imayika mawu olowera a agent wa AI kukhala mawu omwe atchulidwa.

**Kuwona **

Nayi chithunzithunzi cha kamangidwe ka ZeroOps pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["AI Agent", "Context Engine", "StackGen", "LangChain"],
    "ma dataset": [
      {
        "label": "Zomangamanga",
        "data": [10, 8, 6, 4],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56", "#4BC0C0"]
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "ZeroOps Architecture"
    },
    "nthano": {
      "chiwonetsero": zoona
    },
    "masikelo": {
      "yAxes": [
        {
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}

Mawonekedwe awa akuwonetsa mamangidwe a ZeroOps system, kuphatikiza wothandizira wa AI, injini yankhani, StackGen, ndi LangChain.

Mapeto

ZeroOps ndi njira yosinthira ku DevOps automation yomwe ikufuna kuthetsa kufunikira kwa kulowererapo pamanja pakuyika ndi kuyang'anira mapulogalamu apulogalamu. Othandizira AI ndi uinjiniya wazinthu zimagwira ntchito yofunika kwambiri pakukhazikitsa ZeroOps, ndipo StackGen ndi LangChain zimapereka njira yotengera ma AI DevOps automation. Pogwiritsa ntchito wothandizira wa AI wosavuta pogwiritsa ntchito StackGen ndi LangChain, tikhoza kusintha ntchito zosiyanasiyana monga kutumiza, kuyesa, ndi kuyang'anira. Malamulo apamwamba a 5-10 omwe amagwiritsidwa ntchito kwambiri pa StackGen ndi LangChain amaperekedwanso, pamodzi ndi kuwonetseratu kwa zomangamanga za ZeroOps pogwiritsa ntchito Chart.js.

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