Kutsegula Kuthekera kwa Agentic AI mu DevOps: Kufufuza Kwaukadaulo kwa LangChain ndi DSPy Integration

**Kutsegula Kuthekera kwa Agentic AI mu DevOps: Kufufuza Kwaukadaulo kwa LangChain ndi DSPy Integration **

Chiyambi

Mawonekedwe a DevOps akusintha mwachangu, motsogozedwa ndi kufunikira kowonjezereka kwa mapulogalamu othamanga, odalirika, komanso otetezeka. Chimodzi mwazinthu zoyendetsera kusinthaku ndikuphatikiza Artificial Intelligence (AI) ndi Machine Learning (ML) mumayendedwe a DevOps. M'nkhaniyi, tiwona lingaliro la Agentic AI mu DevOps, tikuyang'ana pa kuphatikizika kwa LangChain ndi DSPy, zida ziwiri zamphamvu zoyimba zomwe zimathandiza kupanga mapulogalamu owopsa komanso otetezeka.

Kodi Agenti AI mu DevOps ndi chiyani?

Agentik AI mu DevOps imatanthawuza kugwiritsa ntchito othandizira a AI kuti azitha kusintha ndi kukhathamiritsa kayendedwe ka DevOps. Othandizirawa amatha kugwira ntchito monga kuyang'anira, kudula mitengo, ndi kutumiza, kumasula anthu kuti agwire ntchito zanzeru komanso zaluso. Mfundo zazikuluzikulu za Agent AI mu DevOps ndi Context Engineering ndi ZeroOps.

Context Engineering

Context Engineering ndi njira yopangira kumvetsetsa komwe kumayenderana ndi momwe DevOps amagwirira ntchito. Izi zikuphatikiza kufotokozera malamulo, zopinga, ndi zolinga zomwe zimayendetsa machitidwe a othandizira a AI mumayendedwe a DevOps. Context Engineering imathandizira othandizira a AI kupanga zisankho zodziwika bwino ndikuchita zinthu zomwe zikugwirizana ndi zolinga ndi zolinga za bungwe.

ZeroOps

ZeroOps ndi mfundo ya DevOps yomwe cholinga chake ndi kuthetsa kufunikira kwa kulowererapo kwa anthu mumayendedwe a DevOps. Izi zimatheka popanga njira yodzichiritsira, yodzipangira, komanso yodzitetezera yomwe imatha kuzindikira ndi kuyankha kusintha kwa chilengedwe popanda kulowererapo kwa anthu. ZeroOps imatheka chifukwa chogwiritsa ntchito othandizira a AI omwe amatha kuyang'anira, kusanthula, ndikuyankha kusintha kwadongosolo.

**LangChain ndi DSPy Integration **

LangChain ndi DSPy ndi zida ziwiri zamphamvu za orchestration zomwe zimathandizira kuphatikiza kwa Agetic AI mu DevOps. LangChain ndi laibulale ya Python yomwe imapereka ndondomeko yomanga othandizira a AI, pamene DSPy ndi laibulale ya Rust yomwe imapereka ndondomeko yomanga machitidwe ogawidwa.

Mwa kuphatikiza LangChain ndi DSPy, opanga mapulogalamu amatha kupanga mapulogalamu owopsa komanso otetezeka omwe amathandizira mphamvu ya Agent AI. Nachi chitsanzo cha momwe kuphatikiza uku kungafikire:


import langchain
kuchokera ku langchain.chat_models lowetsani ChatOpenAI
kuchokera ku langchain.llms kuitanitsa LLMOpenAI

# Fotokozani mtundu wa macheza ndi LLM
chat_model = ChatOpenAI ()
llm = LLMOpenAI ()

# Tanthauzirani wothandizira wa LangChain
wothandizira = langchain.Agent (
    unyolo=langchain.Chain(
        llm=llm,
        chat_model=chat_model
    )
)

# Tanthauzirani wothandizira wa DSPy
dsp_agent = dspy.Agent (
    dzina = "mtumiki_wanga",
    kufotokoza="Wothandizira wanga wa DSPy"
)

# Phatikizani othandizira a LangChain ndi DSPy
langchain_agent = langchain.Agent(
    unyolo=langchain.Chain(
        llm=llm,
        chat_model=chat_model,
        dsp_agent=dsp_agent
    )
)

# Gwiritsani ntchito wothandizira wophatikizidwa kuti agwire ntchito
langchain_agent.execute("Perekani ntchito pakupanga")

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

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

LangChain Agent Creation: langchain.Agent(chain=langchain.Chain(llm=llm, chat_model=chat_model))
DSPy Agent Creation: dspy.Agent(dzina="my_agent", description="My DSPy wothandizira")
LangChain Agent Execution: langchain_agent.execute("Perekani ntchito pakupanga")
DSPy Agent Execution: dsp_agent.execute("Perekani ntchito popanga")
LangChain Tanthauzo la Chain: langchain.Chain(llm=llm, chat_model=chat_model)
DSPy Tanthauzo la Chain: dspy.Chain(dzina = "my_chain", description="My DSPy chain")
Kulembetsa kwa LangChain Agent: langchain_agent.register()
Kulembetsa kwa Wothandizira wa DSPy: dsp_agent.register()
Kusalembetsa kwa LangChain Agent: langchain_agent.unregister()
Kusalembetsa kwa DSPy Agent: dsp_agent.unregister()

**Kuwona **

Nayi chithunzithunzi cha kuphatikiza kwa LangChain ndi DSPy pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["LangChain", "DSPy"],
    "ma dataset": [
      {
        "label": "Agent Creation",
        "data": [10, 5],
        "backgroundColor": ["#4CAF50", "#FF9800"]
      },
      {
        "label": "Kuphedwa kwa Agent",
        "data": [8, 6],
        "backgroundColor": ["#2196F3", "#9C27B0"]
      },
      {
        "label": "Tanthauzo la Chain",
        "data": [12, 4],
        "backgroundColor": ["#8BC34A", "#3F51B5"]
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "LangChain ndi DSPy Integration"
    },
    "nthano": {
      "chiwonetsero": zoona
    }
  }
}

Mapeto

Kuphatikizika kwa LangChain ndi DSPy kumathandizira kupanga mapangidwe apulogalamu owopsa komanso otetezeka omwe amathandizira mphamvu ya Agentic AI mu DevOps. Pogwiritsa ntchito mfundo za Context Engineering ndi ZeroOps, opanga amatha kupanga machitidwe odzichiritsa okha, odzipangira okha, komanso odzitetezera omwe amatha kuzindikira ndi kuyankha kusintha kwa chilengedwe popanda kuthandizidwa ndi anthu. Malamulo apamwamba a 5-10 omwe amagwiritsidwa ntchito kwambiri / mapepala a LangChain ndi DSPy amaperekedwa, pamodzi ndi maonekedwe a kusakanikirana pogwiritsa ntchito Chart.js.

Kutsegula Kuthekera kwa Agentic AI mu DevOps: Kufufuza Kwaukadaulo kwa LangChain ndi DSPy Integration

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