Ho notlolla Monyetla oa Agentic AI ho DevOps: Tekolo ea Tekheniki ea LangChain le Khokahano ea DSPy
Selelekela
Sebopeho sa DevOps se ntse se fetoha ka potlako, se tsamaisoa ke tlhokahalo e ntseng e eketseha ea phepelo ea software e potlakileng, e tšepahalang le e sireletsehileng. E 'ngoe ea lintho tse ka sehloohong tse susumetsang phetoho ena ke ho kopanngoa ha Artificial Intelligence (AI) le Machine Learning (ML) ho DevOps workflows. Sehloohong sena, re tla hlahloba mohopolo oa Agentic AI ho DevOps, re shebane le ho kopanngoa ha LangChain le DSPy, lisebelisoa tse peli tse matla tsa 'mino oa liletsa tse nolofalletsang meralo ea software e tsitsitseng le e sireletsehileng.
Agent AI ke eng ho DevOps?
Agent AI ho DevOps e bua ka ts'ebeliso ea liakhente tsa AI ho iketsetsa le ho ntlafatsa tšebetso ea DevOps. Baemeli bana ba ka etsa mesebetsi e kang ho beha leihlo, ho rema lifate, le ho tsamaisa, ho lokolla lisebelisoa tsa batho bakeng sa mosebetsi o mongata le oa boqapi. Melao-motheo ea bohlokoa ea Agetic AI ho DevOps ke Context Engineering le ZeroOps.
Boenjineri ba Litaba
Context Engineering ke mokhoa oa ho theha kutloisiso e arolelanoang ea maemo ao DevOps workflows e sebetsang ho eona. Sena se kenyelletsa ho hlalosa melao, lithibelo, le lipheo tse laolang boitšoaro ba liakhente tsa AI tšebetsong ea DevOps. Context Engineering e thusa baemeli ba AI ho etsa liqeto tse nang le tsebo le ho nka mehato e tsamaellanang le lipheo le merero ea mokhatlo.
ZeroOps
ZeroOps ke molao-motheo oa DevOps o ikemiselitseng ho felisa tlhoko ea ho kenella ha batho ho DevOps workflows. Sena se finyelloa ka ho theha mokhoa oa ho ipholisa, oa ho iketsetsa, le oa ho itšireletsa o ka lemohang le ho arabela liphetohong tsa tikoloho ntle le ho kenella ha batho. ZeroOps e khoneha ka tšebeliso ea baemeli ba AI ba khonang ho beha leihlo, ho sekaseka le ho arabela liphetohong tsa tsamaiso.
LangChain le Kopanyo ya DSPy
LangChain le DSPy ke lisebelisoa tse peli tse matla tsa 'mino oa liletsa tse nolofalletsang ho kopanngoa ha Agent AI ho DevOps. LangChain ke laebrari ea Python e fanang ka moralo oa ho haha mahlahana a AI a puisano, athe DSPy ke laebrari e thehiloeng ho Rust e fanang ka moralo oa ho haha litsamaiso tse ajoang.
Ka ho kopanya LangChain le DSPy, bahlahisi ba ka etsa meralo ea software e scalable le e sireletsehileng e sebelisang matla a Agent AI. Mohlala ke ona oa hore na kopano ena e ka finyelloa joang:
import langchain
ho tsoa ho langchain.chat_models e kenya ChatOpenAI
ho tsoa ho langchain.llms import LLMOpenAI
# Hlalosa mofuta oa moqoqo le LLM
chat_model = ChatOpenAI()
llm = LLMOpenAI()
# Hlalosa moemeli oa LangChain
moemeli = langchain.Agent(
ketane=langchain.Chain(
llm=llm,
chat_model=mohlala_moqoqo
)
)
# Hlalosa moemeli oa DSPy
dsp_agent = dspy.Agent(
lebitso = "moemedi_waka",
tlhaloso="Moemeli oa ka oa DSPy"
)
# Kopanya baemeli ba LangChain le DSPy
langchain_agent = langchain.Agent(
ketane=langchain.Chain(
llm=llm,
chat_model=mohlala_moqoqo,
dsp_agent=dsp_agent
)
)
# Sebelisa moemeli ea kopaneng ho etsa mosebetsi
langchain_agent.execute("Romela kopo tlhahisong")
Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa LangChain le DSPy:
- Pōpo ea Moemeli oa LangChain:
langchain.Agent(ketane=langchain.Chain(llm=llm, chat_model=chat_model)) - Pōpo ea Moemeli oa DSPy:
dspy.Agent(lebitso="my_agent", definition="My DSPy Agent") - Phethahatso ya Moemedi wa LangChain:
langchain_agent.execute("Romela kopo tlhahisong") - Phethahatso ya Moemedi wa DSPy:
dsp_agent.execute("Romela kopo tlhahisong") - LangChain Chain Tlhaloso:
langchain.Chain(llm=llm, chat_model=chat_model) - DSPy Chain Tlhaloso:
dspy.Chain(lebitso="my_chain", definition="My DSPy chain") - Ngodiso ya Moemedi wa LangChain:
langchain_agent.register() - Ngodiso ya Moemedi wa DSPy:
dsp_agent.register() - Ho Ngodisa Moemedi wa LangChain:
langchain_agent.unregister() - Ho Tlosa Ngodiso ya Moemedi wa DSPy:
dsp_agent.unregister()
Pono ya pono
Mona ke pono ea kopano ea LangChain le DSPy e sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["LangChain", "DSPy"],
"lintlha tsa boitsebiso": [
{
"label": "Pōpo ea Moemeli",
"data": [10, 5],
"backgroundColor": ["#4CAF50", "#FF9800"]
},
{
"label": "Phethahatso ea Moemeli",
"data": [8, 6],
"backgroundColor": ["#2196F3", "#9C27B0"]
},
{
"label": "Tlhaloso ea Chain",
"data": [12, 4],
"backgroundColor": ["#8BC34A", "#3F51B5"]
}
]
},
"likgetho": {
"sehlooho": {
"bontša": 'nete,
"text": "Khokahano ea LangChain le DSPy"
},
"tšōmo": {
"pontšo": 'nete
}
}
}
Qetello
Ho kopanngoa ha LangChain le DSPy ho etsa hore ho thehoe meralo ea meralo ea scalable le e sireletsehileng ea software e sebelisang matla a Agent AI ho DevOps. Ka ho sebelisa melao-motheo ea Context Engineering le ZeroOps, bahlahisi ba ka iketsetsa mekhoa ea ho ipholisa, ea ho iketsetsa, le ea ho itšireletsa e ka lemohang le ho arabela liphetohong tsa tikoloho ntle le ho kenella ha batho. Litaelo tse ka holimo tsa 5-10 tse sebelisoang ka ho fetisisa bakeng sa LangChain le DSPy li fanoa, hammoho le pono ea ho kopanya ho sebelisoa Chart.js.