** Orchestration Awọn amayederun ZeroOps pẹlu Awọn aṣoju AI ati LangChain ***
Ibere
Ni agbegbe ti o nyara ni kiakia ti imọ-ẹrọ sọfitiwia ati DevOps, iwulo fun lilo daradara ati orchestration amayederun ti iwọn ti di titẹ sii. Awọn ọna ti aṣa si iṣakoso amayederun nigbagbogbo dale lori iṣeto ni afọwọṣe ati iwe afọwọkọ, eyiti o le ja si awọn aṣiṣe, awọn aiṣedeede, ati awọn igo. Lati koju awọn italaya wọnyi, paragim tuntun ti farahan: Eto eto amayederun ZeroOps pẹlu awọn aṣoju AI ati LangChain.
Kini ZeroOps?
ZeroOps jẹ ọna rogbodiyan si iṣakoso amayederun ti o mu awọn aṣoju AI ṣiṣẹ ati adaṣe lati yọkuro iwulo fun iṣeto ni afọwọṣe ati iwe afọwọkọ. Nipa ṣiṣe adaṣe gbogbo igbesi aye amayederun, lati imuṣiṣẹ si iwọn ati itọju, ZeroOps n fun awọn ajo laaye lati ṣaṣeyọri awọn ipele ṣiṣe ti a ko ri tẹlẹ ti ṣiṣe, iwọn, ati igbẹkẹle.
** LangChain: Ilana Adaaṣe Agbara AI-Agbara ***
LangChain jẹ ilana orisun-ìmọ ti o fun laaye awọn olupilẹṣẹ lati kọ awọn iṣan-iṣẹ adaṣe adaṣe agbara AI nipa lilo awoṣe siseto ti o rọrun, ogbon inu. Nipa ipese abstraction ipele giga lori awọn idiju ti AI ati adaṣe, LangChain jẹ ki o rọrun lati ṣẹda awọn opo gigun ti automation ti o le ṣakoso paapaa awọn agbegbe amayederun eka julọ.
** Awọn aṣoju AI: Bọtini si ZeroOps ***
Awọn aṣoju AI jẹ awọn paati sọfitiwia ti o lo ẹkọ ẹrọ ati awọn ilana AI miiran lati ṣe adaṣe awọn iṣẹ ṣiṣe ati ṣe awọn ipinnu. Ninu ọrọ ti ZeroOps, awọn aṣoju AI ṣe ipa pataki ni abojuto ilera amayederun, wiwa awọn aiṣedeede, ati gbigbe igbese atunṣe lati rii daju iṣẹ ṣiṣe to dara julọ.
**StackGen ati OpsVerse: Imudara Aifọwọyi-Iwakọ Adáṣiṣẹ ***
StackGen ati OpsVerse jẹ awọn irinṣẹ imotuntun meji ti o mu ki adaṣe adaṣe AI mu yara fun imọ-ẹrọ ati ṣiṣan iṣẹ DevOps. StackGen jẹ irinṣẹ iran koodu ti o fun laaye awọn olupilẹṣẹ lati ṣẹda awọn awoṣe amayederun aṣa ni lilo irọrun, sintasi asọye. OpsVerse, ni ida keji, jẹ pẹpẹ ti o pese wiwo iṣọkan kan fun ṣiṣakoso awọn agbegbe amayederun pupọ ati adaṣe adaṣe adaṣe.
** Ṣiṣe ZeroOps pẹlu LangChain ati Awọn Aṣoju AI ***
Lati ṣe ZeroOps pẹlu LangChain ati awọn aṣoju AI, a yoo tẹle ọna igbese-nipasẹ-igbesẹ:
Igbesẹ 1: Ṣetumo Awọn awoṣe Amayederun
Lilo StackGen, a yoo ṣalaye awọn awoṣe amayederun aṣa ti o ṣe apejuwe iṣeto amayederun ti o fẹ. Eyi yoo pẹlu awọn pato fun awọn ẹrọ foju, awọn nẹtiwọọki, ibi ipamọ, ati awọn orisun miiran.
`` Python gbe wọle stackgen
awoṣe = stackgen.Àdàkọ( orukọ = "my_amayederun", awọn orisun =[ stackgen.Ohun elo( orukọ = "vm1", iru = "vm", awọn ohun-ini={ "cpu": 2, "iranti": 4, "ipamọ": 100 } ), stackgen.Ohun elo( orukọ = "vm2", iru = "vm", awọn ohun-ini={ "cpu": 4, "iranti": 8, "ipamọ": 200 } ) ] )
Ṣẹda koodu amayederun
infrastructure_code = template.generate()
### Igbesẹ 2: Ṣẹda Awọn Aṣoju AI
Lilo LangChain, a yoo ṣẹda awọn aṣoju AI ti o le ṣe atẹle ilera amayederun, ṣe awari awọn aiṣedeede, ati ṣe igbese atunṣe. A yoo ṣalaye aṣoju ti o rọrun ti o ṣayẹwo lilo Sipiyu ati awọn titaniji ti o ba kọja iloro kan.
`` Python
gbe wọle langchain
# Ṣe alaye aṣoju AI
oluranlowo = langchain.Agent (
orukọ = "cpu_agent",
iru = "cpu",
awọn ohun-ini={
"Ile": 80
}
)
# Setumo oye aṣoju
def check_cpu_usage(vm):
# Ṣayẹwo lilo Sipiyu
cpu_usage = vm.get_cpu_usage()
ti cpu_usage> agent.properties["threshold"]:
# Itaniji ti lilo Sipiyu ba kọja ala
pada "CPU lilo koja ala"
miran:
# Pada asan ti lilo Sipiyu wa laarin ala
pada Ko si
Igbesẹ 3: Ṣepọ Awọn Aṣoju AI pẹlu Awọn awoṣe Amayederun
A yoo ṣepọ awọn aṣoju AI pẹlu awọn awoṣe amayederun lati ṣẹda opo gigun ti epo adaṣiṣẹ kan. Opo opo gigun ti epo yii yoo ṣe atẹle ilera amayederun, ṣe awari awọn aiṣedeede, ati ṣe igbese atunṣe lati rii daju iṣẹ ṣiṣe to dara julọ.
`` Python gbe wọle langchain
Ṣetumo opo gigun ti adaṣe
opo = langchain.Pipeline ( orukọ = "my_pipeline", asoju=[aṣoju], awọn awoṣe=[awoṣe] )
Ṣiṣe opo gigun ti epo adaṣe
pipeline.run ()
** Top 5-10 Awọn aṣẹ ti a lo julọ / awọn snippets ***
Eyi ni oke 5-10 ti o lo julọ awọn aṣẹ/snippets fun LangChain ati awọn aṣoju AI:
1. `langchain.Agent(name="cpu_agent", type="cpu",Properties={"threshold": 80})`
2. `stackgen.Àdàkọ (orukọ = "my_infrastructure", oro =[...])`
3. `langchain.Pipeline(orukọ = "my_pipeline", òjíṣẹ =[aṣoju], awọn awoṣe = [awoṣe]))
4. `agent.run (check_cpu_usage (vm))`
5. `awoṣe.generate ()`
6. `langchain.Agent.update_properties(aṣoju, {"threshold": 90})'
7. `stackgen.Resource(name="vm1", type="vm", properties={"cpu": 2, "memory": 4, "storage": 100})'
8. `langchain.Pipeline.yiyọ_agent(pipeline, oluranlowo)`
9. `langchain.Agent.add_property(aṣoju, "titaniji", Otitọ)`
10. `stackgen.Template.update_resource(awoṣe, "vm1", {"cpu": 4, "iranti": 8, "ipamọ": 200})'
** Iworan ***
Eyi ni iwoye ti o rọrun ti opo gigun ti epo adaṣe ni lilo Chart.js:
`` json
{
"type": "ọgọ",
"data": {
"labels": ["Ilo Sipiyu", "Lilo Iranti", "Ilo Ibi ipamọ"],
"awọn ipilẹ data": [
{
"label": "Ipele",
"data": [80, 80, 80],
"backgroundColor": "rgba(255, 99, 132, 0.2)",
"borderColor": "rgba(255, 99, 132, 1)",
"AalaWidth": 1
},
{
"label": "Òdodo",
"data": [70, 70, 70],
"backgroundColor": "rgba(54, 162, 235, 0.2)",
"borderColor": "rgba(54, 162, 235, 1)",
"AalaWidth": 1
}
]
},
"awọn aṣayan": {
"akọle": {
"ifihan": otitọ,
"text": "Pipiline Adaaṣe"
},
"iwọn": {
"yAxes": [
{
"ifihan": otitọ,
"awọn ami": {
"beginAtZero": otitọ
}
}
]
}
}
}
Iworan yii fihan Sipiyu gangan, iranti, ati lilo ibi ipamọ ni akawe si awọn iye ala. Opo gigun ti adaṣiṣẹ le lo data yii lati ṣawari awọn aiṣedeede ati ṣe igbese atunṣe.
Ipari
Eto eto amayederun ZeroOps pẹlu awọn aṣoju AI ati LangChain jẹ ọna rogbodiyan si iṣakoso amayederun ti o yọkuro iwulo fun iṣeto ni afọwọṣe ati iwe afọwọkọ. Nipa gbigbe awọn aṣoju AI ati adaṣe ṣiṣẹ, awọn ajo le ṣaṣeyọri awọn ipele ṣiṣe ti a ko rii tẹlẹ, iwọn, ati igbẹkẹle. Pẹlu StackGen ati OpsVerse, awọn olupilẹṣẹ le mu adaṣe adaṣe ti AI mu yara fun imọ-ẹrọ ati awọn ṣiṣan iṣẹ DevOps. Nipa titẹle ọna igbese-nipasẹ-igbesẹ ti a ṣe alaye ninu nkan yii, awọn olupilẹṣẹ le ṣe ZeroOps pẹlu LangChain ati awọn aṣoju AI lati ṣẹda opo gigun ti epo adaṣe kan ti o ṣe abojuto ilera amayederun, ṣe awari awọn aiṣedeede, ati ṣe igbese atunṣe lati rii daju pe iṣẹ ṣiṣe to dara julọ.