Kuyimba Kwazinthu Zodziyimira pawokha ndi StackGen ndi LangChain: Kugwiritsa Ntchito Ma AI Agents ndi Ma Model Opanga a Extreme DevOps Automation ndi Autonomous Infrastructure Management
Chiyambi
M'mawonekedwe amakono a digito, kufunikira kwa kayendetsedwe kabwino ka zomangamanga sikunakhale kokwezeka. Zochita zachikhalidwe za DevOps nthawi zambiri zimadalira kasinthidwe kamanja ndi zolemba, zomwe zimatha kubweretsa zolakwika, zosagwirizana, komanso zolepheretsa. Kuti tithane ndi zovutazi, tikuwona kuwonekera kwa ochita masewera olimbitsa thupi odziyimira pawokha, paradigm yomwe imathandizira othandizira a AI ndi mitundu yopangira kuti ipangitse ndikuwongolera kasamalidwe ka zomangamanga. M'nkhaniyi, tifufuza za dziko losangalatsa la StackGen ndi LangChain, matekinoloje awiri apamwamba omwe akusintha momwe timayendetsera zomangamanga.
StackGen ndi chiyani?
StackGen ndi gwero lotseguka, cloud-agnostic infrastructure orchestration platform yomwe imapangitsa kuti pakhale kudzichiritsa nokha, kudzipangira nokha, komanso kudzikonza nokha. Kumangidwa pamwamba pa zomanga modular, zokulirapo, StackGen imalola opanga kutanthauzira masanjidwe a zomangamanga pogwiritsa ntchito mawu apamwamba, ofotokozera. Syntax iyi imasinthidwa kukhala ntchito zoperekera zomangamanga ndi kasamalidwe, zomwe zimachitidwa ndi injini yamphamvu, yogawidwa.
LangChain ndi chiyani?
LangChain ndi laibulale ya Python yomwe imapereka mawonekedwe ogwirizana pomanga ndi kuphatikiza othandizira a AI, zitsanzo zopangira, ndi zida zina zophunzirira makina pamapulogalamu apulogalamu. Pogwiritsa ntchito LangChain, opanga amatha kupanga mapulogalamu apamwamba oyendetsedwa ndi AI omwe amaphunzira kuchokera ku deta, kusintha kusintha kwa malo, ndikupanga zisankho zodziwika bwino. Pankhani ya StackGen, LangChain imathandizira kuphatikizika kwa othandizira a AI omwe amatha kusanthula magwiridwe antchito, kuneneratu zolakwika, ndikuchita zowongolera kuti asunge machitidwe abwino.
Autonomous Infrastructure Orchestration ndi StackGen ndi LangChain
Kuti tiwonetse mphamvu za StackGen ndi LangChain, tiyeni tikambirane chitsanzo chosavuta. Tiyerekeze kuti tikumanga nsanja ya e-commerce yokhazikika pamtambo yomwe imafuna kuti pakhale mayendedwe owopsa, ochita bwino kwambiri. Pogwiritsa ntchito StackGen, titha kufotokozera masinthidwe apamwamba kwambiri omwe amafotokozera zamtundu womwe mukufuna, kuphatikiza kuchuluka kwa ma node, mitundu yachitsanzo, ndi masinthidwe amtaneti.
dzina: e-commerce-platform
Kufotokozera: Scalable e-commerce platform infrastructure
Mtundu: 1.0
zida:
- dzina: web-server
Mtundu: EC2
katundu:
mtundu wa chitsanzo: t2.micro
amayi: ami-abc123
magulu achitetezo: [web-server-sg]
- dzina: database
Mtundu: RDS
katundu:
mtundu wa chitsanzo: db.t2.micro
injini: postgres
Nawonso database: e-commerce-db
lolowera: e-commerce-user
password: e-commerce-password
maubale:
- seva yapaintaneti -> database
Muchitsanzo ichi, tafotokoza zachitukuko chosavuta chokhala ndi seva yapaintaneti ndi database. Gawo la gawo limatchula zigawo zake, kuphatikiza mitundu yake, katundu ndi maubale. Gawo la maubale limatanthawuza kulumikizana pakati pa zigawo.
Kenako, tidzagwiritsa ntchito LangChain kuphatikiza wothandizira wa AI yemwe amatha kusanthula magwiridwe antchito ndikuchitapo kanthu kuti asunge machitidwe abwino. Tipanga wothandizira wa AI wosavuta yemwe amayang'anira kagwiritsidwe ntchito ka CPU ndikusintha mitundu yofananira.
# LangChain AI wothandizira nambala (ai_agent.py)
import langchain
kuchokera ku langchain.agents kuitanitsa BaseAgent
kalasi ECommerceAgent(BaseAgent):
def __init__(yekha, stackgen_config):
self.stackgen_config = stackgen_config
self.cpu_utilization_threshold = 80
def monitor_infrastructure(self):
# Yang'anirani magwiritsidwe a CPU ndikusintha mitundu yazitsanzo
cpu_utilization = self.get_cpu_utilization()
ngati cpu_utilization > self.cpu_utilization_threshold:
self.adjust_instance_types()
def adjust_instance_types(self):
# Sinthani mitundu ya zitsanzo kutengera kugwiritsa ntchito CPU
example_types = self.get_instance_types()
Mwachitsanzo_type in example_types:
ngati example_type['cpu_utilization'] > self.cpu_utilization_threshold:
example_type['instance_type'] = 't2.large'
# Phatikizani wothandizira wa AI ndi StackGen
stackgen_config = load_yaml('example.yaml')
ai_agent = ECommerceAgent(stackgen_config)
ai_agent.monitor_infrastructure()
Muchitsanzo ichi, tapanga wothandizira wa AI wosavuta yemwe amayang'anira kagwiritsidwe ntchito ka CPU ndikusintha mitundu yofananira. Taphatikiza wothandizira wa AI ndi StackGen pogwiritsa ntchito laibulale ya langchain, yomwe imapereka mawonekedwe ogwirizana pomanga ndi kuphatikiza othandizira AI.
**Malamulo/Zidutswa Zapamwamba za 5-10 **
Nawa ena mwa malamulo omwe amagwiritsidwa ntchito kwambiri ndi mawu a StackGen ndi LangChain:
- Fayilo Yosinthira StackGen:
stackgen config example.yaml - LangChain AI Agent Code:
langchain ai_agent.py - Phatikizani AI Agent ndi StackGen:
langchain integrate ai_agent.py example.yaml - Monitor Infrastructure:
ai_agent.monitor_infrastructure() - Sinthani Mitundu Yazochitika:
ai_agent.adjust_instance_types() - Pezani Kugwiritsa Ntchito CPU:
ai_agent.get_cpu_utilization() - Pezani Mitundu Yachitsanzo:
ai_agent.get_instance_types() - Lowetsani Fayilo Yosinthira YAML:
load_yaml('example.yaml') - Sungani Fayilo Yosinthira YAML:
save_yaml('example.yaml', stackgen_config) - Onani m'maganizo mwanu Infrastructure Topology:
stackgen tione chitsanzo.yaml
**Kuwona **
Kuti muwone m'maso mwazotukuka, titha kugwiritsa ntchito laibulale ngati graphviz kuti tipereke graph kutengera fayilo yosinthira ya StackGen.
{
"type": "bar",
"data": {
"labels": ["Web Server", "Database"],
"ma dataset": [
{
"label": "Kugwiritsa Ntchito CPU",
"Deta": [80, 90],
"backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba(54, 162, 235, 0.2)"],
"borderColor": ["rgba(255, 99, 132, 1)", "rgba(54, 162, 235, 1)"],
"BorderWidth": [1, 1]
}
]
},
"zosankha": {
"mutu": {
"kuwonetsa": zoona,
"text": "Kugwiritsa Ntchito CPU ndi Chigawo"
},
"masikelo": {
"yAxes": [
{
"kuwonetsa": zoona,
"scaleLabel": {
"kuwonetsa": zoona,
"labelString": "Kugwiritsa Ntchito CPU (%)"
}
}
]
}
}
}
Tchatichi chikuwonetsa kagwiritsidwe ntchito ka CPU pa seva yapaintaneti ndi zida za database, ndikuwonetsa bwino momwe magwiridwe antchito amagwirira ntchito.
Mapeto
Kuyimba kwazinthu zodziyimira pawokha ndi StackGen ndi LangChain ndi paradigm yamphamvu yomwe imathandizira kuti pakhale kudzichiritsa nokha, kudzipangira nokha, komanso kudzikonza nokha. Pogwiritsa ntchito ma AI othandizira ndi mitundu yopangira, opanga amatha kusintha ndikuwongolera kasamalidwe kazinthu, kuchepetsa zolakwika, kusagwirizana, komanso zolepheretsa. M'nkhaniyi, tafufuza zofunikira za StackGen ndi LangChain, kuphatikizapo kamangidwe kake, mafayilo osinthika, ndi kuphatikiza kwa AI wothandizira. Taperekanso zitsanzo zothandiza ndi zidule za ma code kuti ziwonetse mphamvu zamakinawa. Pamene kufunikira kwa kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe ka kayendetsedwe kake.