Kukhazikitsa Agetic AI mu DevOps Workflows ya Autonomous Infrastructure Orchestration

Kukhazikitsa Agent AI mu DevOps Workflows for Autonomous Infrastructure Orchestration

Chiyambi

Kuphatikizika kwa Artificial Intelligence (AI), DevOps, ndi orchestration ya zomangamanga kwadzetsa malingaliro atsopano pakuwongolera zomangamanga - kuwongolera zida zodziyimira pawokha. Njirayi imathandizira ma algorithms a AI ndi Machine Learning (ML) kuti azitha kusintha ndikuwongolera magwiridwe antchito, makulitsidwe, ndi kasamalidwe, zomwe zimathandiza omanga kuyang'ana kwambiri ntchito zapamwamba. M'nkhaniyi, tiwona gawo la AI yothandiza pakukulitsa luso laopanga mapulogalamu ndikuwongolera scalability mumayendedwe a DevOps, ndikuyang'ana zida monga LangChain, DSPy, ndi StackGen.

Agent AI ndi chiyani?

Agentik AI imatanthawuza mtundu wa AI womwe umawonetsa machitidwe odziyimira pawokha, kupanga zisankho ndikuchita zokha popanda kulowererapo kwamunthu. Pankhani ya DevOps, agent AI atha kugwiritsidwa ntchito kusinthiratu ntchito monga kukonza zomangamanga, kutumiza, ndi makulitsidwe, komanso kuyang'anira ndi kuthetsa mavuto. Njirayi imathandiza otsogolera kuti aganizire ntchito zapamwamba, monga kulemba kachidindo ndi kupanga mapulogalamu, pamene dongosolo la AI limayang'anira zowonongeka zowonongeka.

LangChain: Ndondomeko Yomanga Ma Agent AI Systems

LangChain ndi njira yotseguka yopangira makina a AI omwe amatha kulumikizana ndi ogwiritsa ntchito, kuchita ntchito, ndikupanga zisankho. Amapereka ma API ndi zida zomangira malo olumikizirana, chilankhulo chachilengedwe (NLP), ndi mitundu yophunzirira makina. LangChain ikhoza kugwiritsidwa ntchito popanga mapulogalamu osiyanasiyana, kuchokera ku ma chatbots ndi othandizira pafupifupi kupita ku machitidwe opangira zida zodziyimira pawokha.

DSPy: Laibulale ya Python Yomanga Agent AI Systems

DSPy ndi laibulale ya Python yomanga machitidwe a AI omwe amatha kulumikizana ndi ogwiritsa ntchito, kuchita ntchito, ndikupanga zisankho. Imapereka ma API ndi zida zomangira zolumikizirana, NLP, ndi mitundu yophunzirira makina. DSPy ingagwiritsidwe ntchito pomanga mapulogalamu osiyanasiyana, kuchokera ku ma chatbots ndi othandizira pafupifupi kupita ku machitidwe odziyimira pawokha.

StackGen: Chida Chomanga ndi Kuwongolera Zomangamanga

StackGen ndi chida chomangira ndikuwongolera zomangamanga monga ma code. Amapereka ma API ndi zida zofotokozera masanjidwe a zomangamanga, kupereka zothandizira, komanso kuyang'anira zotumizidwa. StackGen itha kugwiritsidwa ntchito pomanga ndi kuyang'anira zida zosiyanasiyana, kuyambira pamakina ndi zotengera mpaka ntchito zopanda seva ndi mapulogalamu amtambo.

Kukhazikitsa Agent AI mu DevOps Workflows

Kuti tigwiritse ntchito AI yothandiza mu DevOps workflows, titha kugwiritsa ntchito kuphatikiza kwa LangChain, DSPy, ndi StackGen. Nachi chitsanzo cha momwe tingagwiritsire ntchito zida izi pomanga makina opangira zida zodziyimira pawokha:

import langchain
kuitanitsa dSpy
import stackgen


zomangamanga_config = {
    "zothandizira": [
        {"name": "web-server", "type": "EC2", "region": "us-west-2"},
        {"name": "database", "type": "RDS", "region": "us-west-2"}
    ]
}

# Fotokozani dongosolo lotumizira
deployment_config = {
    "ntchito": [
        {"name": "web-server", "image": "nginx:latest", "port": 80},
        {"name": "database", "image": "mysql:latest", "port": 3306}
    ]
}

# Pangani wothandizira wa LangChain
wothandizira = langchain.Agent (
    dzina="infrastructure-orchestrator",
    description="An autonomous infrastructure orchestration system"
)

# Pangani mtundu wa DSPy
chitsanzo = dSpy.Model(
    dzina="infrastructure-orchestrator",
    Description="Chitsanzo cholosera zofunikira za zomangamanga"
)

# Pangani stackGen
stack = stackgen.Stack(
    dzina="infrastructure-orchestrator",
    Description="Mtundu wowongolera zomangamanga"
)

# Fotokozani kayendedwe ka AI kachitidwe
ntchito = [
    {"site": "predict_infrastructure_requirements", "model": model},
    {"step": "provision_infrastructure", "stack": stack},
    {"site": "deploy_services", "deployment_config": deployment_config}
]

# Yambitsani kayendetsedwe kake ka AI
agent.run(ntchito)

Khodi iyi imatanthawuza dongosolo lodziyimira pawokha lachitukuko lomwe limagwiritsa ntchito LangChain, DSPy, ndi StackGen kulosera zofunikira za zomangamanga, zothandizira, ndi kutumiza ntchito.

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

Nawa malamulo / zidule za 5-10 zomwe zimagwiritsidwa ntchito kwambiri pa LangChain, DSPy, ndi StackGen:

| | Chida | Command/Snippet | Kufotokozera | | | --- | --- | --- | | | LangChain | langchain.Agent.create() | Amapanga wothandizira LangChain | | | LangChain | langchain.Agent.describe() | Imabwezeranso kufotokozera kwa wothandizira LangChain | | | DSPy | dspy.Model.create() | Amapanga mtundu watsopano wa DSPy | | | DSPy | dspy.Model.describe() | Imabwezeranso kufotokozera kwachitsanzo cha DSPy | | | StackGen | stackgen.Stack.create() | Amapanga stack yatsopano ya StackGen | | | StackGen | stackgen.Stack.describe() | Imabwezeranso kufotokozera kwa stackGen | | | LangChain | langchain.Agent.run() | Imayendetsa wothandizira wa LangChain | | | DSPy | dspy.Model.predict() | Imaneneratu zofunikira za zomangamanga pogwiritsa ntchito mtundu wa DSPy | | | StackGen | stackgen.Stack.provision() | Amakonza zomangamanga pogwiritsa ntchito stackGen stack | | | StackGen | stackgen.Stack.deploy() | Amatumiza ntchito pogwiritsa ntchito stackGen Stack |

**Kuwona **

Nayi chithunzithunzi cha mayendedwe a AI pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Neneratu Zofunika Zomangamanga", "Zomangamanga Zopereka", "Deploy Services"],
    "ma dataset": [
      {
        "label": "Agentic AI Workflow",
        "data": [10, 20, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "Agentic AI Workflow"
    },
    "miyeso": {
      "yAxes": [
        {
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}

Mawonekedwe awa akuwonetsa mayendedwe a AI ngati tchati cha bar, ndi masitepe atatu olosera zofunikira za zomangamanga, kukonza zomangamanga, ndi kutumiza ntchito.

Mapeto

M'nkhaniyi, tidawona gawo la AI yothandiza pakukulitsa luso laopanga mapulogalamu ndikuwongolera scalability mumayendedwe a DevOps. Tidayambitsa LangChain, DSPy, ndi StackGen ngati zida zomangira machitidwe a AI, ndikuwonetsa momwe angagwiritsire ntchito zidazi pomanga dongosolo loyimba zodziyimira pawokha. Tidaperekanso chithunzithunzi cha mayendedwe a AI pogwiritsa ntchito Chart.js. Pogwiritsa ntchito ma AI agent, opanga amatha kuyang'ana kwambiri ntchito zapamwamba, monga kulemba ma code ndi kupanga mapulogalamu, pamene AI imasamalira zowonongeka.