Ukuklama Ingqalasizinda Ezimele Ngama-AI Agents kanye ne-StackGen: I-Technical Deep Dive ku-Orchestration kanye Nokuhlanganiswa | B4N1

Ukuklama Ingqalasizinda Ezimele Ngama-AI Agents kanye ne-StackGen: I-Technical Deep Dive ku-Orchestration kanye Nokuhlanganiswa

7 months ago · b4n1 Read time: 3 min

Isingeniso

Ukunyuka kwengqalasizinda ezimele kuyishintshe kakhulu indlela esiklama ngayo, esikhipha ngayo, futhi siphatha ngayo amasistimu e-IT. Ngosizo lwama-ejenti e-AI kanye namathuluzi omculo, izinhlangano zingakwazi ukwenza ngokuzenzakalelayo ukuhlinzekwa kwengqalasizinda, ukukala, nokuphatha, okuholela ekwenyukeni kokusebenza kahle, ukunciphisa izindleko, nokwethenjwa okuthuthukisiwe. Kulesi sihloko, sizocubungula imininingwane yobuchwepheshe yokuklama ingqalasizinda ezimele sisebenzisa ama-agent e-AI kanye ne-StackGen, sigxile ekuhlanganeni kwalobu buchwepheshe namathuluzi omculo we-orchestration afana ne-DSPy ne-LangChain.

Iqhaza Labenzeli be-AI Kungqalasizinda Ezizimele

Ama-ejenti e-AI adlala indima ebalulekile engqalasizinda ezimele ngokuhlinzeka ngobuhlakani namandla okwenza izinqumo adingekayo ukuze kusebenze ukuhlinzekwa nokuphathwa kwengqalasizinda. Lawa ma-ejenti angahlaziya idatha evela emithonjeni ehlukahlukene, ahlonze amaphethini, futhi enze izinqumo ngokusekelwe emithethweni echazwe kusengaphambili nezinqubomgomo. Ngokomongo wengqalasizinda ezimele, ama-agent e-AI angasetshenziswa:

  • Yenza ngokuzenzakalelayo ukuhlinzekwa kwengqalasizinda kanye nokuthunyelwa
  • Bheka futhi uhlaziye ukusebenza kwengqalasizinda
  • Khomba futhi uphendule ezinsongweni zokuphepha
  • Lungiselela ukusetshenziswa kwensiza kanye nokukala

Isingeniso ku-StackGen

I-StackGen iyithuluzi lomthombo ovulekile elivumela ukudalwa kwengqalasizinda njengekhodi (IaC) kusetshenziswa i-syntax ememezelayo. Ivumela abasebenzisi ukuthi bachaze ukulungiselelwa kwengqalasizinda besebenzisa ulimi olulula nolucacile, olungase lusetshenziselwe ukuhlinzeka nokuphatha izinsiza zengqalasizinda. I-StackGen isekela abahlinzeki bengqalasizinda abahlukahlukene, okuhlanganisa i-AWS, i-Azure, i-Google Cloud, nokuningi.

Ukuhlanganisa ama-AI Agents ne-StackGen

Ukuze sihlanganise ama-agent e-AI ne-StackGen, singasebenzisa inhlanganisela yama-API nohlelo oluqhutshwa umcimbi. Nakhu ukubuka konke kwezinga eliphezulu lenqubo:

  1. Chaza ukulungiselelwa kwengqalasizinda usebenzisa i-syntax yesimemezelo ye-StackGen.
  2. Sebenzisa i-ejenti ye-AI ukuze uhlaziye ukumiswa kwengqalasizinda futhi uhlonze izinkinga ezingaba khona noma amathuba okuthuthukisa.
  3. Sebenzisa i-ejenti ye-AI ukwenza izinqumo futhi ukhiqize izibuyekezo ekucushweni kwengqalasizinda.
  4. Sebenzisa i-StackGen ukuze usebenzise izibuyekezo ezinsizeni zengqalasizinda.

Amathuluzi E-Orchestration: I-DSPy ne-LangChain

I-DSPy ne-LangChain amathuluzi amabili okucula adumile angasetshenziswa ukwenza ngokuzenzakalelayo ukuhlinzekwa nokuphathwa kwengqalasizinda. I-DSPy iyithuluzi elisekelwe kuPython elihlinzeka nge-API elula necacile yokuchaza nokwenza ukuhamba komsebenzi. I-LangChain, ngakolunye uhlangothi, iyithuluzi elisekelwe ku-Rust elihlinzeka ngohlaka lwe-orchestration oluthuthuke kakhulu futhi oluguquguqukayo.

DSPy Isibonelo

Nasi isibonelo esilula sokusebenzisa i-DSPy ukwenza ngokuzenzakalelayo ukuhlinzekwa kwengqalasizinda:

ngenisa i-dspy

# Chaza ukuhamba komsebenzi okuhlinzeka ngezinsiza zengqalasizinda
ukuhamba komsebenzi = dspy.Workflow(
    name="infrastructure-provisioning",
    izinyathelo=[
        dspy.Step("provision-ec2", "aws-provision-ec2"),
        dspy.Step("provision-rds", "aws-provision-rds"),
        dspy.Step("provision-elb", "aws-provision-elb")
    ]
)

# Chaza i-trigger eqala ukuhamba komsebenzi lapho isicelo esisha semukelwa
i-trigger = dspy.Trigger(
    igama="isicelo esisha",
    umcimbi="aws-api-gateway-event",
    handler="start-workflow"
)

# Chaza isibambi esiqala ukuhamba komsebenzi lapho i-trigger ixoshwa
isibambi = dspy.Handler(
    igama = "ukuqala-ukuhamba komsebenzi",
    ukuhamba komsebenzi=ukuhamba komsebenzi
)

# Dala isibonelo se-DSPy bese wengeza ukugeleza komsebenzi, i-trigger, nesibambi
dspy_instance = dspy.DSPy()
dspy_instance.add_workflow(ukugeleza komsebenzi)
dspy_instance.add_trigger(trigger)
dspy_instance.add_handler(isibambi)

LangChain Isibonelo

Nasi isibonelo esilula sokusebenzisa i-LangChain ukwenza ngokuzenzakalelayo ukunikezwa kwengqalasizinda:

sebenzisa i-langchain::{Agent, Workflow};

// Chaza ukuhamba komsebenzi ohlinzeka ngezinsiza zengqalasizinda
fn provision_infrastructure() -> Ukuhamba komsebenzi {
    Ukugeleza komsebenzi::okusha("infrastructure-provisioning")
        .add_step("provision-ec2", "aws-provision-ec2")
        .add_step("provision-rds", "aws-provision-rds")
        .add_step("provision-elb", "aws-provision-elb")
}

// Chaza i-trigger eqala ukuhamba komsebenzi lapho isicelo esisha sitholwa
fn new_request(umcimbi: &str) -> Umenzeli {
    Umenzeli::omusha("isicelo esisha")
        .add_trigger(umcimbi, "start-workflow")
}

// Chaza isibambi esiqala ukuhamba komsebenzi lapho i-trigger ixoshwa
fn start_workflow(i-ejenti: &Agent) {
    i-agent.start_workflow("infrastructure-provisioning");
}

// Dala isibonelo se-LangChain bese wengeza ukuhamba komsebenzi, i-trigger, nesibambi
i-fn main() {
    vumela i-ejenti = I-Agent::new("infrastructure-provisioning");
    i-agent.add_workflow(provision_infrastructure());
    i-agent.add_trigger(new_request("aws-api-gateway-event");
    i-agent.add_handler(start_workflow);
}

Ukubukwa

Nakhu okubonwayo kokuhlanganiswa phakathi kwama-agent we-AI, i-StackGen, namathuluzi omculo we-orchestration afana ne-DSPy ne-LangChain:

{
  "type": "dag",
  "izindawo": [
    {
      "id": "i-agent",
      "label": "I-AI Agent",
      "x": 0,
      "y": 0
    },
    {
      "id": "stackgen",
      "label": "StackGen",
      "x": 2,
      "y": 0
    },
    {
      "id": "dspy",
      "label": "DSPy",
      "x": 4,
      "y": 0
    },
    {
      "id": "langchain",
      "label": "LangChain",
      "x": 6,
      "y": 0
    },
    {
      "id": "ingqalasizinda",
      "label": "Infrastructure",
      "x": 8,
      "y": 0
    }
  ],
  "emaphethelweni": [
    {
      "source": "ai-ejenti",
      "target": "stackgen",
      "label": "Ukuhlanganisa"
    },
    {
      "source": "stackgen",
      "target": "dspy",
      "label": "Ukuhlanganisa"
    },
    {
      "source": "dspy",
      "target": "infrastructure",
      "label": "Provisioning"
    },
    {
      "source": "stackgen",
      "target": "langchain",
      "label": "Ukuhlanganisa"
    },
    {
      "source": "langchain",
      "target": "infrastructure",
      "label": "Provisioning"
    }
  ]
}

Imiyalo/Amazwibela Asetshenziswa Kakhulu 5-10

Nayi imiyalo/ amazwibela aphezulu angu-5-10 alobu buchwepheshe:

  1. dspy.Workflow(igama="infrastructure-provisioning", steps=[dspy.Step("provision-ec2", "aws-provision-ec2")])
  2. langchain::Agent::new("infrastructure-provisioning").add_workflow(provision_infrastructure())
  3. stackgen::StackGen::new().add_resource("ec2", "aws-provision-ec2")
  4. dspy.Trigger(igama="isicelo-esitsha", umcimbi="aws-api-gateway-event", handler="start-workflow")
  5. langchain::Agent::new("infrastructure-provisioning").add_trigger(new_request("aws-api-gateway-event"))
  6. stackgen::StackGen::new().add_resource("rds", "aws-provision-rds")
  7. dspy.Handler(igama="start-workflow", workflow=dspy.Workflow(igama="infrastructure-provisioning"))
  8. langchain::Agent::new("infrastructure-provisioning").engeza_isibambi(start_workflow)
  9. stackgen::StackGen::new().add_resource("elb", "aws-provision-elb")
  10. dspy.DSPy().add_workflow(dspy.Workflow(igama="infrastructure-provisioning"))

Isiphetho

Ukuklama ingqalasizinda ezimele ngama-ejenti e-AI kanye ne-StackGen kudinga ukuqonda okujulile kokuphambana kwalobu buchwepheshe namathuluzi omculo we-orchestration afana ne-DSPy ne-LangChain. Ngokuhlanganisa ama-ejenti e-AI ne-StackGen namathuluzi e-orchestration, izinhlangano zingenza ngokuzenzakalelayo ukuhlinzekwa nokuphathwa kwengqalasizinda, okuholela ekwenyukeni kokusebenza kahle, ukunciphisa izindleko, nokwethenjwa okuthuthukisiwe. Lesi sihloko sinikeze ukujula okujulile kobuchwepheshe ekwakhiweni nasekusetshenzisweni kwengqalasizinda ezimele kusetshenziswa ama-agent we-AI kanye ne-StackGen, kugxilwe emininingwaneni esebenzayo yokuhlanganisa lobu buchwepheshe.


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