Ke hoʻokō nei i Agentic AI ma DevOps Workflows no Autonomous Infrastructure Orchestration | B4N1

Ke hoʻokō nei i Agentic AI ma DevOps Workflows no Autonomous Infrastructure Orchestration

6 months ago · b4n1 Read time: 6 min

Ke hoʻokō nei i Agentic AI ma DevOps Workflows no Autonomous Infrastructure Orchestration

Hoʻolauna

ʻO ka intersection o Artificial Intelligence (AI), DevOps, a me ka hoʻomohala ʻenehana ua hoʻāla i kahi paradigm hou i ka hoʻokele waiwai - autonomous infrastructure orchestration. Hoʻohana kēia ala i nā algorithms AI a me Machine Learning (ML) e hoʻomaʻamaʻa a hoʻopaʻa pono i ka hoʻolako ʻana i nā ʻōnaehana, scaling, a me ka hoʻokele, e hiki ai i nā mea hoʻomohala ke nānā aku i nā hana kiʻekiʻe. Ma kēia ʻatikala, e ʻimi mākou i ke kuleana o ka agentic AI i ka hoʻonui ʻana i ka ʻike mea hoʻomohala a me ka hoʻomaikaʻi ʻana i ka scalability ma DevOps workflows, me ka nānā ʻana i nā mea hana e like me LangChain, DSPy, a me StackGen.

He aha ka Agentic AI?

ʻO Agentic AI e pili ana i kahi ʻano AI e hōʻike ana i ke ʻano kūʻokoʻa, hoʻoholo a hana i nā hana ponoʻī me ka ʻole o ke komo ʻana o ke kanaka. I loko o ka pōʻaiapili o DevOps, hiki ke hoʻohana ʻia ka agentic AI e hoʻomaʻamaʻa i nā hana e like me ka hoʻolako ʻana i nā ʻōnaehana, hoʻonohonoho, a me ka scaling, a me ka nānā ʻana a me ka hoʻoponopono pilikia. ʻO kēia ala e hiki ai i nā mea hoʻomohala ke nānā aku i nā hana kiʻekiʻe, e like me ke kākau ʻana i nā code a me ka hoʻolālā ʻana i nā noi, ʻoiai ke mālama nei ka ʻōnaehana AI i nā ʻōnaehana kumu.

LangChain: He Kūlana no ke kūkulu ʻana i nā ʻōnaehana AI Agentic

ʻO LangChain kahi papa hana open-source no ke kūkulu ʻana i nā ʻōnaehana AI agentic hiki ke launa pū me nā mea hoʻohana, hana i nā hana, a hoʻoholo. Hāʻawi ia i kahi pūʻulu o nā API a me nā mea hana no ke kūkulu ʻana i nā pilina kamaʻilio, ka hoʻoponopono ʻōlelo kūlohelohe (NLP), a me nā hiʻohiʻona aʻo mīkini. Hiki ke hoʻohana ʻia ʻo LangChain e kūkulu i kahi ākea o nā noi, mai nā chatbots a me nā mea kōkua virtual i nā ʻōnaehana orchestration autonomous.

DSPy: He Hale Waihona Puke Python no ke kūkulu ʻana i nā ʻōnaehana AI Agentic

ʻO DSPy kahi waihona Python no ke kūkulu ʻana i nā ʻōnaehana AI e hiki ke launa pū me nā mea hoʻohana, hana i nā hana, a hoʻoholo. Hāʻawi ia i kahi pūʻulu o nā API a me nā mea hana no ke kūkulu ʻana i nā pilina kamaʻilio, NLP, a me nā hiʻohiʻona aʻo mīkini. Hiki ke hoʻohana ʻia ʻo DSPy e kūkulu i kahi ākea o nā noi, mai nā chatbots a me nā mea kōkua virtual i nā ʻōnaehana orchestration autonomous.

**StackGen: He mea hana no ke kūkulu ʻana a me ka hoʻokele ʻana i nā ʻenehana **

He mea hana ʻo StackGen no ke kūkulu ʻana a me ka hoʻokele ʻana i nā ʻōnaehana ma ke ʻano he code. Hāʻawi ia i kahi pūʻulu o nā API a me nā mea hana no ka wehewehe ʻana i nā hoʻonohonoho hoʻonohonoho, hoʻolako i nā kumuwaiwai, a me ka hoʻokele ʻana i nā hoʻolālā. Hiki ke hoʻohana ʻia ʻo StackGen no ke kūkulu ʻana a me ka hoʻokele ʻana i kahi ākea ākea, mai nā mīkini virtual a me nā pahu i nā hana serverless a me nā noi kapua.

Ke hoʻokō nei i Agentic AI ma DevOps Workflows

No ka hoʻokō ʻana i ka AI agentic i nā kaila hana DevOps, hiki iā mākou ke hoʻohana i kahi hui o LangChain, DSPy, a me StackGen. Eia kahi laʻana pehea e hiki ai iā mākou ke hoʻohana i kēia mau mea hana e kūkulu i kahi ʻōnaehana orchestration orchestration autonomous:

lawe mai i ka lanchain
lawe mai i ka dspy
hoʻokomo stackgen


ʻoihana_kono = {
    "nā punawai": [
        {"name": "pūnaewele-pūnaewele", "type": "EC2", "region": "us-west-2"},
        {"name": "database", "type": "RDS", "region": "us-west-2"}
    ]
}

# E wehewehe i ka hoʻonohonoho hoʻonohonoho
deployment_config = {
    "lawelawe": [
        {"name": "pūnaewele-pūnaewele", "image": "nginx:latest", "port": 80},
        {"name": "database", "image": "mysql:latest", "port": 3306}
    ]
}

# E hana i kahi ʻoihana LangChain
luna = langchain.Agent(
    inoa = "infrastructure-orchestrator",
    description="He ʻōnaehana hoʻonohonoho ʻokoʻa kūʻokoʻa"
)

# Hana i kahi hiʻohiʻona DSPy
kumu hoʻohālike = dspy.Model(
    inoa = "infrastructure-orchestrator",
    description="He kumu hoʻohālike no ka wānana ʻana i nā pono hana"
)

# Hana i kahi stackGen stack
pūʻulu = stackgen.Stack(
    inoa = "infrastructure-orchestrator",
    description="He ahu no ka hoʻokele waiwai"
)

# E wehewehe i ke kaʻina hana AI agentic
kaʻina hana = [
    {"step": "predict_infrastructure_requirements", "model": model},
    {"step": "provision_infrastructure", "stack": stack},
    {"step": "deployment_services", "deployment_config": deployment_config}
]

# Holo i ke kaʻina hana AI agentic
agent.run(hana hana)

Hōʻike kēia code i kahi ʻōnaehana orchestration orchestration autonomous e hoʻohana ana iā LangChain, DSPy, a me StackGen e wānana i nā pono hana, nā kumuwaiwai hoʻolako, a me nā lawelawe lawelawe.

** 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha/nā ʻāpana**

Eia nā 5-10 kiʻekiʻe loa i hoʻohana ʻia nā kauoha / snippets no LangChain, DSPy, a me StackGen:

Mea hana Kauoha/Snippet wehewehe
LangChain langchain.Agent.create() Hana i kahi luna LangChain hou
LangChain langchain.Agent.describe() Hoʻihoʻi i ka wehewehe ʻana o ka luna LangChain
DSPy dspy.Model.create() Hoʻokumu i kahi hoʻohālike DSPy hou
DSPy dspy.Model.describe() Hoʻihoʻi i ka wehewehe ʻana o ke kumu hoʻohālike DSPy
StackGen stackgen.Stack.create() Hana i kahi waihona StackGen hou
StackGen stackgen.Stack.describe() Hoʻihoʻi mai i kahi wehewehe o ka StackGen stack
LangChain langchain.Agent.run() Holo i ka luna LangChain
DSPy dspy.Model.predict() Wehewehe i nā pono hana e hoʻohana ana i ke kumu hoʻohālike DSPy
StackGen stackgen.Stack.provision() Hoʻolako i nā ʻōnaehana me ka hoʻohana ʻana i ka StackGen stack
StackGen stackgen.Stack.deploy() Hoʻolālā i nā lawelawe me ka hoʻohana ʻana i ka StackGen stack

Hōʻikeʻike

Eia kahi hiʻohiʻona o ke kaʻina hana AI agentic me ka hoʻohana ʻana iā Chart.js:

{
  "type": "pā",
  "ʻikepili": {
    "labels": ["Wanamua i nā Koina Hana Hana", "Hoʻolako Infrastructure", "Deploy Services"],
    "mau ʻikepili": [
      {
        "label": "Agentic AI Workflow",
        "ʻikepili": [10, 20, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "koho": {
    "poʻo inoa": {
      "hōʻike": ʻoiaʻiʻo,
      "text": "Agentic AI Workflow"
    },
    "nā unahi": {
      "yAxes": [
        {
          "kuʻi": {
            "beginAtZero": ʻoiaʻiʻo
          }
        }
      ]
    }
  }
}

Hōʻike kēia hiʻohiʻona i ke kaʻina hana AI agentic ma ke ʻano he pahu pahu, me nā ʻanuʻu ʻekolu o ka wānana ʻana i nā koi ʻoihana, hoʻolako ʻana i nā ʻōnaehana, a me ka lawe ʻana i nā lawelawe.

Hoʻoholo

Ma kēia ʻatikala, ua ʻimi mākou i ke kuleana o ka agentic AI i ka hoʻonui ʻana i ka ʻike mea hoʻomohala a me ka hoʻomaikaʻi ʻana i ka scalability i nā kahawai hana DevOps. Ua hoʻolauna mākou iā LangChain, DSPy, a me StackGen ma ke ʻano he mau mea hana no ke kūkulu ʻana i nā ʻōnaehana agentic AI, a hōʻike i ke ʻano o ka hoʻohana ʻana i kēia mau mea hana no ke kūkulu ʻana i kahi ʻōnaehana orchestration infrastructure autonomous. Hāʻawi pū mākou i kahi hiʻohiʻona o ke kaʻina hana AI agentic me ka hoʻohana ʻana iā Chart.js. Ma o ka leveraging agentic AI, hiki i nā mea hoʻomohala ke nānā aku i nā hana kiʻekiʻe, e like me ke kākau ʻana i nā code a me ka hoʻolālā ʻana i nā noi, ʻoiai ke mālama nei ka ʻōnaehana AI i nā ʻōnaehana kumu.


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