Intshayelelo
Kwimeko ehlala iguquka yophuhliso lwesoftware kunye nokusebenza, ingqikelelo yeZeroOps iye yavela njengebhakana yethemba kwimibutho efuna ukwenza ngokuzenzekelayo iinkqubo zabo zeDevOps ukuya kuthi ga kwinqanaba lokungenelela kwabantu. I-ZeroOps ayikho nje i-buzzword; imele indlela yokuguqula i-automation ye-DevOps ehambisa amandla oBuchule boBuchule (AI) kunye ne-Machine Learning (ML) ukulungelelanisa kunye nokwandisa ukuhamba komsebenzi onzima. Kweli nqaku, siya kungena kwi-intersection ye-AI Agents, i-LangChain, i-DSPy, kunye ne-DevOps Automation ukuze sihlolisise amathuba okuphumeza i-ZeroOps.
Yintoni iZeroOps?
I-ZeroOps yimeko apho i-DevOps izenzekelayo ukuya kwindawo apho ukungenelela kwabantu kuncitshiswe, kwaye inkqubo inokuziphilisa, izenzele, kwaye izenzele. Lo mbono weZeroOps awukho nje malunga nemisebenzi ezenzekelayo kodwa malunga nokudala i-ecosystem yokuzimela enokuziqhelanisa nokutshintsha kweemfuno kunye nokusingqongileyo. Ingcamango engundoqo kukuxhobisa ii-arhente ze-AI ukuba zenze izigqibo, zithathe amanyathelo, kwaye zifunde kumava, ngaloo ndlela zinciphisa isidingo sokungenelela kwabantu.
Indima yee-arhente ze-AI kwiZeroOps
Iiarhente ze-AI zidlala indima ebalulekileyo kwiZeroOps ngokusebenza njengebhulorho phakathi kokwenziwa kwezigqibo zabantu kunye nokuphunyezwa okuzenzekelayo. Ezi arhente zinokuqeqeshelwa ukuqonda ukuhamba komsebenzi onzima, ukuchonga iipateni, kwaye wenze izigqibo ezinolwazi ngokusekelwe kwiinkcukacha eziqhutywa yidatha. I-LangChain, iqonga elidumileyo lophuhliso lwe-AI, libonelela ngesakhelo esomeleleyo sokwakha kunye nokuhambisa ii-arhente ze-AI ezinokusebenzisana neenkqubo ezahlukeneyo kunye nezixhobo.
LangChain: Isitshixo soMvusi weZeroOps
I-LangChain yiplani yomthombo ovulekileyo eyenza abaphuhlisi bakwazi ukwakha, ukuqeqesha, kunye nokuhambisa i-AI agents usebenzisa uluhlu lweelwimi zeprogram, kuquka i-Python, i-Rust, kunye ne-Go. Uyilo lwayo lweemodyuli kunye nethala leencwadi elibanzi lamacandelo okwakhiwa kwangaphambili kwenza kube lukhetho olufanelekileyo lokwakha izisombululo zeZeroOps. Ikhono likaLangChain lokudibanisa kunye nemithombo eyahlukeneyo yedatha, i-APIs, kunye neenkqubo zenza i-AI agents ziqokelele ukuqonda, zenze izigqibo, kwaye zithathe amanyathelo ngexesha langempela.
DSPy: Ithala leencwadi lePython leZeroOps
I-DSPy yilayibrari yePython ebonelela ngeseti yezixhobo kunye nezixhobo zokwakha izisombululo zeZeroOps. Inika uluhlu lweempawu, kubandakanywa ukusetyenzwa kwedatha, ukufunda ngomatshini, kunye ne-automation. I-DSPy ingasetyenziselwa ukwenza ii-arhente ze-AI eziqhelekileyo, zidibanise ne-LangChain, kwaye zisebenzise izisombululo ze-ZeroOps usebenzisa izikhokelo ezidumileyo ezifana ne-Django, FastAPI, kunye neFlask.
Ukuphunyezwa okuFanekayo kwee-ZeroOps
Makhe siqwalasele umzekelo olula wokwakha isisombululo seZeroOps usebenzisa iLangChain kunye neDSPy. Masithi sifuna ukwenza ngokuzenzekelayo ukuthunyelwa kwesicelo sewebhu usebenzisa umbhobho weCI / CD. Singasebenzisa i-LangChain ukwenza i-arhente ye-AI ebeka iliso ekusebenzeni kwesicelo, ibone i-anomalies, kwaye ibangele ukuthunyelwa xa kuyimfuneko.
# Thatha ngaphandle amathala eencwadi afunekayo
ngenisa i-langchain
ukusuka dSpy yokungenisa Agent
# Yenza iarhente yeLangChain
iarhente = langchain.Agent(
igama="uMmeli woThutho",
definition="Ukusasazwa ngokuzenzekela kwesicelo sewebhu",
ulwimi="python"
)
# Chaza umsebenzi olungiselelwe ukuhanjiswa
deploy_app():
# Sebenzisa i-DSPy ukuqalisa ukusasazwa
arhente.trigger_deployment()
# Yenza iarhente yeDSPy
dspy_agent = Ummeli (
igama="uMmeli woThutho",
definition="Ukusasazwa ngokuzenzekela kwesicelo sewebhu",
ulwimi="python"
)
# Dibanisa iLangChain kunye neearhente zeDSPy
langchain_agent = langchain.Agent(
igama="uMmeli woThutho",
definition="Ukusasazwa ngokuzenzekela kwesicelo sewebhu",
ulwimi="python",
uhlanganiso=[dspy_agent]
)
# Qeqesha iarhente yeLangChain
langchain_agent.train(
idatha=[
{"input": "ukusebenza kwesicelo kulungile", "output": "akukho kuthunyelwa kuyadingeka"},
{"input": "ukusebenza kwesicelo kubi", "output": "deploy application"}
]
)
# Thumela iarhente yeLangChain
langchain_agent.deploy()
Top 5-10 Uninzi Imiyalelo / iziqwengana ezisetyenziswayo
Nantsi eminye yemiyalelo edla ngokusetyenziswa kunye neziqwengana zeLangChain kunye neDSPy:
- I-LangChain Agent Creation:
langchain.Agent(igama="AgentName", description="AgentDescription", language="language") - Ukudalwa kwe-Agent ye-DSPy:
dspy.Agent(igama = "Igama le-Agent", inkcazelo="AgentDescription", language="language") - Ukudibanisa iLangChain kunye ne-DSPy Agents:
langchain.Agent(integration=[dspy_agent]) - I-Arhente yoQeqesho yeLangChain:
langchain_agent.train(data=[{"input": "input", "output": "output"}]) - Ukusebenzisa i-Agent yeLangChain:
langchain_agent.deploy() - Ukuqalisa ukusasazwa usebenzisa i-DSPy:
dspy_agent.trigger_deployment() - Ukubeka iliso kwiNkqubo yokuSebenza:
langchain_agent.monitor_performance() - Ukufumanisa izinto ezingaqhelekanga:
langchain_agent.detect_anomalies() - UkuQapha ukusasazwa okusekwe kuFundo oluNcinci:
langchain_agent.trigger_deployment_on_anomaly() - Ukudibanisa neCI/CD uMbhobho:
langchain_agent.integrate_with_cicd()
Umboniso
Nantsi imbonakalo elula yeZeroOps yokuhamba komsebenzi usebenzisa iChart.js:
{
"type": "bar",
"idatha": {
"labels": ["Ungenelelo lwaBantu", "uMmeli we-AI", "ukusasazwa okuzenzekelayo"],
"iiseti zedatha": [
{
"label": "ZeroOps Workflow",
"idatha": [10, 80, 10],
"Umbala ongasemva": [
"rgba(255, 99, 132, 0.2)",
"rgba(54, 162, 235, 0.2)",
"rgba(255, 206, 86, 0.2)"
],
"Umbala womda": [
"rgba(255, 99, 132, 1)",
"rgba(54, 162, 235, 1)",
"rgba(255, 206, 86, 1)"
],
"BorderWidth": 1
}
]
},
"iinketho": {
"izikali": {
"y": {
"beginAtZero": yinyani
}
}
}
}
Isiphelo
I-ZeroOps yindlela yokuguqula i-automation ye-DevOps eyenza amandla e-AI Agents, i-LangChain, kunye ne-DSPy ukulungelelanisa kunye nokwandisa ukuhamba komsebenzi onzima. Ngokuxhobisa ii-arhente ze-AI ukuba zenze izigqibo, zithathe amanyathelo, kwaye zifunde kumava, sinokufikelela kwimeko yokungenelela kwabantu kufutshane neqanda. NgeLangChain kunye ne-DSPy, abaphuhlisi banokwakha ii-arhente ze-AI, badibanise kunye neenkqubo ezahlukeneyo kunye nezixhobo, kwaye basebenzise izisombululo ze-ZeroOps ngokusebenzisa izikhokelo ezidumileyo ezifana ne-Django, FastAPI, kunye neFlask. Njengoko imbonakalo yomhlaba yophuhliso lwesoftware kunye nokusebenza kuqhubeka nokuvela, iZeroOps ikulungele ukuba yinto ephambili yokwenza izinto ezizenzekelayo, ukusebenza kakuhle, kunye nokuyila.