Kuvhura Iyo Inogoneka yeAgentic AI muDevOps: Kuongorora Kwehunyanzvi kweLangChain uye DSPy Kubatanidzwa.

**Kuvhura Iko Kugona kweAgentic AI muDevOps: Kuongorora Kwehunyanzvi kweLangChain uye DSPy Kubatanidzwa **

Introduction

Iyo DevOps mamiriro ari kukurumidza kushanduka, achifambiswa nekuwedzera kuri kuda kwekukurumidza, kwakavimbika, uye kwakachengeteka software kutumira. Imwe yeakakosha madhiraivha eiyi shanduko kubatanidzwa kweArtificial Intelligence (AI) uye Machine Kudzidza (ML) muDevOps workflows. Muchikamu chino, tichaongorora pfungwa yeAgentic AI muDevOps, tichitarisa kubatanidzwa kweLangChain neDSPy, maturusi maviri ane simba ekugadzira anogonesa scalable uye yakachengeteka software architecture.

** Chii chinonzi Agent AI muDevOps?**

Agentic AI muDevOps inoreva kushandiswa kweAI vamiririri kuita otomatiki uye nekugonesa DevOps workflows. Ava vamiririri vanogona kuita mabasa akadai sekutarisa, kutema matanda, uye kuendesa, kusunungura zviwanikwa zvevanhu kune mamwe mazano uye ekugadzira basa. Misimboti yakakosha yeAgentic AI muDevOps ndeyeContext Engineering uye ZeroOps.

Context Engineering

Context Engineering ndiyo maitiro ekugadzira kunzwisisa kwakagovaniswa kwemamiriro ezvinhu umo DevOps workflows inoshanda. Izvi zvinosanganisira kutsanangura mitemo, zvipingaidzo, uye zvinangwa zvinotonga maitiro eAI vamiririri muDevOps workflow. Context Engineering inogonesa vamiririri veAI kuita sarudzo dzine ruzivo uye kutora zviito zvinoenderana nezvinangwa nezvinangwa zvesangano.

ZeroOps

ZeroOps musimboti weDevOps unovavarira kubvisa kudiwa kwekupindira kwevanhu muDevOps workflows. Izvi zvinowanikwa kuburikidza nekugadzira nzira yekuzvirapa, yekuzvigadzirisa, uye yekuzvichengetedza iyo inogona kuona uye kupindura kune kuchinja mumamiriro ezvinhu pasina kupindira kwevanhu. ZeroOps inogoneka nekushandiswa kweAI vamiririri vanogona kutarisa, kuongorora, uye kupindura kune shanduko muhurongwa.

LangChain uye DSPy Kubatanidzwa

LangChain uye DSPy maturusi maviri ane simba e orchestration anogonesa kubatanidzwa kweAgentic AI muDevOps. LangChain iraibhurari yePython inopa hurongwa hwekuvaka hurukuro dzeAI vamiririri, nepo DSPy iri raibhurari yeRust-based inopa hurongwa hwekuvaka masisitimu akagoverwa.

Nekubatanidza LangChain neDSPy, vagadziri vanogona kugadzira scalable uye yakachengeteka software yekuvakisa iyo inowedzera simba reAgentic AI. Heino muenzaniso wekuti kubatana uku kunogona kuwanikwa sei:


import langchain
kubva ku langchain.chat_models import ChatOpenAI
kubva ku langchain.llms import LLMOpenAI

# Tsanangura iyo chat modhi uye LLM
chat_model = ChatOpenAI ()
llm = LLMOpenAI()

# Tsanangura iyo LangChain mumiriri
mumiririri = langchain.Agent(
    cheni=langchain.Chain(
        llm=llm,
        chat_model=chat_model
    )
)

# Tsanangura iyo DSPy mumiriri
dsp_agent = dspy.Agent(
    zita = "mumiririri_wangu",
    tsananguro="My DSPy agent"
)

# Batanidza LangChain uye DSPy vamiririri
langchain_agent = langchain.Agent(
    cheni=langchain.Chain(
        llm=llm,
        chat_model=chat_model,
        dsp_agent=dsp_agent
    )
)

# Shandisa iyo yakasanganiswa mumiriri kuita basa
langchain_agent.execute("Tumira chikumbiro kukugadzira")

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveLangChain uye DSPy:

LangChain Agent Creation: langchain.Agent(chain=langchain.Chain(llm=llm, chat_model=chat_model))
DSPy Kusikwa Kwemumiririri: dspy.Agent(zita = "mumiririri_wangu", tsananguro="My DSPy mumiririri")
LangChain Agent Execution: langchain_agent.execute("Tumira application mukugadzira")
DSPy Agent Execution: dsp_agent.execute("Tumira application mukugadzira")
LangChain Chain Tsanangudzo: langchain.Chain(llm=llm, chat_model=chat_model)
DSPy Chain Tsanangudzo: dspy.Chain(zita = "yangu_chain", tsananguro="My DSPy chain")
LangChain Agent Registration: langchain_agent.register()
DSPy Kunyoresa Mumiririri: dsp_agent.register()
LangChain Agent Unregistration: langchain_agent.unregister()
DSPy Mumiririri Kusanyoresa: dsp_agent.unregister()

Kuona

Heino ratidziro yeLangChain uye DSPy kubatanidzwa uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["LangChain", "DSPy"],
    "datasets": [
      {
        "label": "Agent Creation",
        "data": [10, 5],
        "backgroundColor": ["#4CAF50", "#FF9800"]
      },
      {
        "label": "Kuurayiwa Kwemumiririri",
        "data": [8, 6],
        "backgroundColor": ["#2196F3", "#9C27B0"]
      },
      {
        "label": "Chain Definition",
        "data": [12, 4],
        "backgroundColor": ["#8BC34A", "#3F51B5"]
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "zvinyorwa": "LangChain uye DSPy Kubatanidzwa"
    },
    "legend": {
      "kuratidza": chokwadi
    }
  }
}

Mhedziso

Iko kubatanidzwa kweLangChain neDSPy kunogonesa kusikwa kweiyo scalable uye yakachengeteka dhizaini yekuvakisa iyo inosimudzira simba reAgentic AI muDevOps. Nekushandisa Context Engineering uye ZeroOps misimboti, vanogadzira vanogona kugadzira kuzvirapa, kuzvigadzirisa, uye kuzvichengetedza masisitimu anogona kuona uye kupindura kune shanduko nharaunda pasina kupindira kwevanhu. Iyo yepamusoro 5-10 inonyanya kushandiswa mirairo / zvinyorwa zveLangChain neDSPy zvinopiwa, pamwe chete nekuona kwekubatanidzwa uchishandisa Chart.js.

Kuvhura Iyo Inogoneka yeAgentic AI muDevOps: Kuongorora Kwehunyanzvi kweLangChain uye DSPy Kubatanidzwa.

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