Wehe i ka hiki o Agentic AI ma DevOps: He ʻimi ʻenehana o LangChain a me DSPy Integration
Hoʻolauna
Ke ulu wikiwiki nei ka ʻāina DevOps, alakaʻi ʻia e ka piʻi ʻana o ka noi no ka hāʻawi ʻana i ka polokalamu wikiwiki, hilinaʻi a paʻa. ʻO kekahi o nā mea hoʻokele koʻikoʻi o kēia hoʻololi ʻana ʻo ia ka hoʻohui ʻana o Artificial Intelligence (AI) a me Machine Learning (ML) i loko o nā kaila hana DevOps. Ma kēia ʻatikala, e ʻimi mākou i ka manaʻo o Agentic AI ma DevOps, e kālele ana i ka hoʻohui ʻana o LangChain a me DSPy, ʻelua mau mea hana orchestration ikaika e hiki ai i ka hoʻolālā polokalamu scalable a paʻa.
He aha ka Agentic AI ma DevOps?
ʻO Agentic AI ma DevOps e pili ana i ka hoʻohana ʻana i nā mea hana AI e hoʻomaʻamaʻa a hoʻomaikaʻi i nā kahe hana DevOps. Hiki i kēia mau ʻelele ke hana i nā hana e like me ka nānā ʻana, ka hoʻopaʻa ʻana, a me ka hoʻokuʻu ʻana, e hoʻokuʻu ana i nā kumuwaiwai kanaka no ka hana hoʻolālā a me ka hana. ʻO nā kumu nui o Agentic AI ma DevOps he Context Engineering a me ZeroOps.
Enekinia Hōʻikeʻike
ʻO ka Context Engineering ke kaʻina hana o ka hoʻokumu ʻana i ka ʻike like ʻana i ka pōʻaiapili kahi e hana ai nā kahe hana DevOps. Hoʻopili kēia i ka wehewehe ʻana i nā lula, nā kaohi, a me nā pahuhopu e hoʻokele i ka ʻano o nā mea hana AI i ka hana hana DevOps. Hāʻawi ka Context Engineering i nā ʻelele AI e hoʻoholo i ka ʻike a hana i nā hana i kūlike me nā pahuhopu a me nā pahuhopu o ka hui.
ZeroOps
ʻO ZeroOps kahi kumumanaʻo DevOps e manaʻo nei e hoʻopau i ka pono o ke komo ʻana o ke kanaka i nā kaila hana DevOps. Loaʻa kēia ma ka hoʻokumu ʻana i kahi ʻōnaehana hoʻōla ponoʻī, hoʻomaikaʻi iā ia iho, a me ka hoʻopaʻa ʻana iā ia iho e hiki ke ʻike a pane i nā hoʻololi o ke kaiapuni me ka ʻole o ke komo ʻana o ke kanaka. Hoʻohana ʻia ʻo ZeroOps ma o ka hoʻohana ʻana i nā mea hana AI hiki ke nānā, nānā, a pane i nā loli i ka ʻōnaehana.
LangChain and DSPy Integration
ʻO LangChain a me DSPy ʻelua mau mea hana hoʻokani ikaika e hiki ai i ka hoʻohui ʻana o Agentic AI ma DevOps. ʻO LangChain kahi waihona Python e hāʻawi ana i kahi papa hana no ke kūkulu ʻana i nā mea hana AI kamaʻilio, ʻoiai ʻo DSPy kahi waihona Rust-based e hāʻawi ana i kahi hoʻolālā no ke kūkulu ʻana i nā ʻōnaehana puʻupuʻu.
Ma ka hoʻohui ʻana iā LangChain a me DSPy, hiki i nā mea hoʻomohala ke hana i ka hoʻolālā polokalamu scalable a paʻa i ka mana o Agentic AI. Eia kekahi laʻana o ka hiki ke hoʻokō ʻia kēia hoʻohui.
lawe mai i ka lanchain
mai ka langchain.chat_models lawe mai i ChatOpenAI
mai ka langchain.llms hoʻokomo iā LLMOpenAI
# E wehewehe i ke ʻano kūkākūkā a me LLM
kamaʻilio_model = ChatOpenAI()
llm = LLMOpenAI()
# E wehewehe i ka luna ʻo LangChain
luna = langchain.Agent(
kaulahao=langchain.Chain(
llm=llm,
kamaʻilio_model=kamaʻilio_model
)
)
# E wehewehe i ka luna DSPy
dsp_agent = dspy.Agent(
inoa = "my_agent",
description="Koʻu ʻelele DSPy"
)
# Hoʻohui i nā mea hana LangChain a me DSPy
langchain_agent = langchain.Agent(
kaulahao=langchain.Chain(
llm=llm,
kamaʻilio_model=kamaʻilio_model,
dsp_agent=dsp_agent
)
)
# E hoʻohana i ka mea hana hoʻohui e hana i kahi hana
langchain_agent.execute ("E hoʻolālā i ka noi i ka hana")
** 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha/nā ʻāpana**
Eia nā 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha / snippets no LangChain a me DSPy:
- LangChain Agent Creation:
langchain.Agent(chain=langchain.Chain(llm=llm, chat_model=chat_model)) - DSPy Agent Creation:
dspy.Agent(name="my_agent", description="My DSPy agent") - LangChain Agent Execution:
langchain_agent.execute("Hoʻomoe i ka palapala noi i ka hana") - DSPy Agent Execution:
dsp_agent.execute("Hoʻomoe i ka palapala noi i ka hana") - Wehewehe ʻana o ka Chain Chain:
langchain.Chain(llm=llm, chat_model=chat_model) - DSPy Chain Definition:
dspy.Chain(name="my_chain", description="My DSPy chain") - Kakau inoa ʻAgent LangChain:
langchain_agent.register() - Kakau inoa ʻAgent DSPy:
dsp_agent.register() - LangChain Agent Unregister:
langchain_agent.unregister() - DSPy Agent Unregister:
dsp_agent.unregister()
Hōʻikeʻike
Eia kahi hiʻohiʻona o ka hoʻohui ʻana o LangChain a me DSPy me ka hoʻohana ʻana iā Chart.js:
{
"type": "pā",
"ʻikepili": {
"labels": ["LangChain", "DSPy"],
"mau ʻikepili": [
{
"label": "Agent Creation",
"ʻikepili": [10, 5],
"ʻulaʻula": ["#4CAF50", "#FF9800"]
},
{
"label": "Agent Execution",
"ʻikepili": [8, 6],
"ʻulaʻula": ["#2196F3", "#9C27B0"]
},
{
"label": "Wehewehe kaulahao",
"ʻikepili": [12, 4],
"ʻulaʻula": ["#8BC34A", "#3F51B5"]
}
]
},
"koho": {
"poʻo inoa": {
"hōʻike": ʻoiaʻiʻo,
"text": "LangChain and DSPy Integration"
},
"kaʻao": {
"hōʻike": ʻoiaʻiʻo
}
}
}
Hoʻoholo
ʻO ka hoʻohui ʻana o LangChain a me DSPy e hiki ai i ka hana ʻana i ka hoʻolālā polokalamu scalable a paʻa e hoʻohana i ka mana o Agentic AI ma DevOps. Ma ka hoʻohana ʻana i nā loina Context Engineering a me ZeroOps, hiki i nā mea hoʻomohala ke hana i nā ʻōnaehana hoʻōla ponoʻī, hoʻoponopono ponoʻī, a me nā ʻōnaehana hoʻomalu ponoʻī e hiki ke ʻike a pane i nā loli i ke kaiapuni me ka ʻole o ke komo ʻana o ke kanaka. Hāʻawi ʻia nā kauoha / snippets kiʻekiʻe o 5-10 no LangChain a me DSPy, me kahi hiʻohiʻona o ka hoʻohui ʻana me ka hoʻohana ʻana iā Chart.js.