Kuita AI-Powered DevOps otomatiki neKiro uye LangChain
Introduction
Nyika yeDevOps iri kukurumidza kushanduka, nekubatanidzwa kweArtificial Intelligence (AI) uye Machine Learning (ML) ichiwedzera mukurumbira. AI-powered agents, seKiro, vari kushandura nzira yatinosvika nayo otomatiki muDevOps, zvichiita kuti masangano agadzirise mashandiro awo eIT uye kugadzirisa mashandiro. Muchikamu chino, tichaongorora kubatanidzwa kweKiro AI-powered agents neLangChain, yekucheka-kumucheto gadziriro yekuvaka hurukuro yeAI zvikumbiro. Isu tichaongorora kufambira mberi kwazvino muAI uye software engineering, uye topa mienzaniso inoshanda yemashandisirwo eiyi tekinoroji kuita otomatiki mabasa akaomarara eDevOps.
Kiro chii?
Kiro iAI-powered agent inoita kuti masangano aite otomatiki mabasa akaomarara uye mafambiro ebasa. Inoshandisa yakasikwa mutauro kugadzirisa (NLP) uye muchina kudzidza algorithms kuti unzwisise uye upindure kune mushandisi kupinza, zvichiita kuti ive yakanakira mhinduro yeDevOps otomatiki. Kiro inogona kubatanidzwa neakasiyana maturusi uye mapuratifomu, kusanganisira LangChain, kugadzira isina musono otomatiki ruzivo.
Chii chinonzi LangChain?
LangChain chimiro chekuvaka kutaurirana AI application. Inopa seti yezvishandiso uye maraibhurari ayo anogonesa vanogadzira kugadzira chatbots, vabatsiri vezwi, uye mamwe mataurirwo ekukurukurirana. LangChain yakavakirwa pamusoro peRust programming mutauro uye inopa yakakwira-level API yekuvaka AI-powered application.
Kubatanidzwa neKiro
Kubatanidzwa kweKiro neLangChain kunoita kuti masangano agadzire AI-powered DevOps otomatiki workflows. NeKiro, vagadziri vanogona kutsanangura yakaoma workflows uye mabasa, nepo LangChain inopa yekukurukurirana interface kuti vashandisi vabatane neaya mafambiro ebasa. Kubatanidzwa uku kunoita kuti masangano aite otomatiki akasiyana siyana emabasa eDevOps, anosanganisira:
- ** Infrastructure kupa **: Kiro inogona kugadzirisa kupihwa kwezvivakwa zvezvivakwa, senge chaiwo muchina uye midziyo, vachishandisa LangChain yekutaurirana interface.
- ** Kuendesa uye kuburitsa **: Kiro inogona otomatiki kutumira uye kuburitsa maapplication, uchishandisa LangChain's yekukurukurirana interface kubata maitiro.
- ** Kuongorora uye kutema matanda **: Kiro inogona otomatiki kutarisa uye kutema matanda ekushandisa, ichishandisa LangChain yekutaurirana interface kuti ipe chaiyo-nguva yekunzwisisa.
Muenzaniso Unoshanda: Kuita otomatiki Kugovera Infrastructure
Heino muenzaniso wakapusa wekuita otomatiki kupa zvivakwa uchishandisa Kiro uye LangChain:
import langchain
from kiro import Kiro
kiro = Kiro()
# Tsanangura mafambiro ekupa zviwanikwa zvezvivakwa
def provision_infrastructure(user_input):
# Shandisa LangChain's yekukurukurirana interface kuti uwane mushandisi
user_input = langchain.get_user_input(user_input)
# Shandisa Kiro kupa zviwanikwa zvezvivakwa
kiro.provision_resources(user_input)
# Dzosa meseji yekubudirira
return "Infrastructure yakapihwa zvinobudirira"
# Gadzira muenzaniso weLangChain chatbot
chatbot = langchain.Chatbot(provision_infrastructure)
# Tanga iyo chatbot
chatbot.start()
Iyi kodhi inotsanangura mafambiro ari nyore ekupa zviwanikwa zvekushandisa uchishandisa Kiro uye LangChain. Iyo provision_infrastructure basa rinoshandisa LangChain's yekukurukurirana interface kuti iwane mushandisi, uyezve inoshandisa Kiro kupa zviwanikwa zvezvivakwa.
Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu
Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveKiro neLangChain:
kiro.provision_resources(user_input): Inopa zvivakwa zvekushandisa uchishandisa Kiro.langchain.get_user_input(user_input): Inowana kushandiswa kwevashandisi uchishandisa LangChain's conversational interface.kiro.deploy_application(user_input): Inotumira application pachishandiswa Kiro.langchain.monitor_application(user_input): Inotarisa chirongwa uchishandisa LangChain's conversational interface.kiro.rollout_application(user_input): Inoburitsa application uchishandisa Kiro.langchain.log_application(user_input): Log application uchishandisa LangChain's conversational interface.kiro.create_workflow(user_input): Inogadzira mafambiro ebasa uchishandisa Kiro.langchain.get_workflow_status(user_input): Inowana chimiro chekufamba kwebasa uchishandisa LangChain's conversational interface.kiro.update_workflow(user_input): Inovandudza mafambiro ebasa uchishandisa Kiro.langchain.delete_workflow(user_input): Inodzima kufambiswa kwebasa uchishandisa LangChain's conversational interface.
Kuona
Heino ratidziro yakapusa yekubatanidzwa kweKiro neLangChain uchishandisa Chart.js:
{
"type": "bha",
"data": {
"labels": ["Infrastructure Provisioning", "Deployment and Rollout", "Monitoring and Logging"],
"datasets": [
{
"label": "Kiro",
"data": [10, 20, 30],
"backgroundColor": "rgba(255, 99, 132, 0.2)",
"borderColor": "rgba(255, 99, 132, 1)",
"borderWidth": 1
},
{
"label": "LangChain",
"data": [20, 30, 40],
"backgroundColor": "rgba(54, 162, 235, 0.2)",
"borderColor": "rgba(54, 162, 235, 1)",
"borderWidth": 1
}
]
},
"sarudzo": {
"zita": {
"kuratidza": chokwadi,
"text": "Kiro uye LangChain Kubatanidzwa"
},
"zvikero": {
"yAxes": [
{
"zvikwekwe": {
"beginAtZero": chokwadi
}
}
]
}
}
}
Ichi chitarisiko chinoratidza kubatanidzwa kweKiro neLangChain, neKiro neLangChain imwe neimwe inobatsira kune akasiyana maDevOps otomatiki.
Mhedziso
Kubatanidzwa kweKiro neLangChain kunoita kuti masangano aite otomatiki mabasa akaomarara eDevOps achishandisa AI-powered agents. NeKiro, vagadziri vanogona kutsanangura yakaoma workflows uye mabasa, nepo LangChain inopa yekukurukurirana interface kuti vashandisi vabatane neaya mafambiro ebasa. Kubatanidzwa uku kunoita kuti masangano agadzirise mashandiro avo eIT, kuvandudza kushanda zvakanaka, uye kuderedza mitengo. Nekusimudzira kufambira mberi kwazvino muAI uye software engineering, masangano anogona kugadzira isina musono otomatiki chiitiko chinosangana nezvinodiwa nevashandisi vavo.