** ZeroOps: Nweta akụrụngwa kwụụrụ onwe ya na ndị nnọchi anya AI, StackGen, na LangChain ***
** Okwu mmalite**
N'ime odida obodo nke igwe ojii na-agbanwe agbanwe mgbe niile, ọchịchọ maka njikwa akụrụngwa na-arụ ọrụ nke ọma na nke nwere ike ịkawanye elu adịbeghị elu. Ngwá ọrụ akpaaka ọdịnala enyerela aka n'ịkwalite usoro, mana ha na-adakarị mkpụmkpụ n'ịkọwa mgbagwoju anya na nhụsianya nke akụrụngwa ọgbara ọhụrụ. Nke a bụ ebe ZeroOps na-abata - usoro mgbanwe nke na-eme ka Agentic AI nweta njikwa akụrụngwa kwụụrụ onwe ya. N'ime edemede a, anyị ga-abanye n'ime ụwa nke ZeroOps, na-enyocha akụkụ ya, uru ya na ngwa bara uru.
Gịnị bụ ZeroOps?
ZeroOps bụ paradaịs na-apụta nke na-ejikọta ike Artificial Intelligence (AI) na mgbanwe nke gburugburu igwe ojii iji mepụta akụrụngwa jikwaa onwe ya. Site n'iji ike nke ndị ọrụ AI, StackGen, na LangChain, ZeroOps na-enyere òtù dị iche iche aka imezi njikwa akụrụngwa, belata njehie mmadụ, ma melite arụmọrụ n'ozuzu ya.
** Agentic AI: Obi ZeroOps ***
AI Agentic na-ezo aka n'ụdị AI nke na-egosipụta omume nwere ọgụgụ isi, ikike ime mkpebi na ngbanwe. N'ihe gbasara ZeroOps, a haziri ndị ọrụ Agenttic AI ka ha mụta site na usoro akụrụngwa, chọpụta ihe adịghị mma, na ime ihe ndozi. Enwere ike ịzụ ndị ọrụ ndị a na isi mmalite data dị iche iche, gụnyere ndekọ, metrics, na faịlụ nhazi, iji zụlite nghọta miri emi nke omume akụrụngwa.
**StackGen: Igwe akụrụngwa-dị ka koodu (IaC)
StackGen bụ igwe mepere emepe IAC nke na-enyere ndị otu aka ịkọwa na jikwaa akụrụngwa dịka koodu. Site n'iji StackGen, ndị mmepe nwere ike ịmepụta ndebiri akụrụngwa, ibuga ngwa, ma jikwaa akụrụngwa n'usoro na-agbanwe agbanwe na enwere ike imepụtagharị ya. Njikọ StackGen na ndị ọrụ Agentic AI na-enye ohere ịmepụta akụrụngwa na-agwọ onwe ya, ebe ndị ọrụ nwere ike ịchọpụta ma mezie okwu ozugbo.
** LangChain: Onye na-ahụ maka akụrụngwa akụrụngwa AI kwadoro ***
LangChain bụ usoro sitere na Python nke na-enyere ndị mmepe aka iwulite na ibuga ndị na-ahụ maka akụrụngwa na-akwado AI. Site n'ịkwalite LangChain, òtù dị iche iche nwere ike ịmepụta ndị ọrụ AI omenala na-ejikọta na StackGen na ngwá ọrụ akụrụngwa ndị ọzọ iji nweta njikwa akụrụngwa kwụụrụ onwe ya. Ihe owuwu modul nke LangChain na nnukwu ọbá akwụkwọ nke ihe arụrụrịrịrị na-eme ka ọ bụrụ nhọrọ dị mma maka iwulite ngwa ngwa akụrụngwa nwere AI siri ike.
** Ngwa bara uru: Ọmụmaatụ dị mfe ***
Ka anyị tụlee ihe atụ dị mfe nke otu esi etinye ZeroOps na gburugburu igwe ojii. Ka e were ya na anyị nwere ngwa webụ etinyere na ụyọkọ Kubernetes, anyị chọkwara imezi usoro ịmegharị ngwa ahụ dabere na ọchịchọ okporo ụzọ.
"Python
mbubata langchain sitere na langchain.agents na-ebubata LLMChain sitere na langchain.llms mbubata LangChainLLM
Kọwaa onye nnọchi anya AI
onye nnọchi anya = LLMChain ( llm=LangChainLLM( model_name = "koodu-davinci-002", okpomọkụ = 0.7, max_tokens=2048, stop_sequences=["\n", "\n\n"] ), chain_name="scale_app" )
Kọwaa template StackGen
ndebiri = { "ụdị": "Nkwanye", "metadata": { "name": "web-app" }, "Spec": { "ihe oyiri": 1 } }
Kọwaa usoro nhazi ihe
amụma = { "condition": "okporo ụzọ > 1000", "ọrụ": { "ihe oyiri": 2 } }
Mepụta onye na-ahụ maka akụrụngwa akụrụngwa nke AI kwadoro
onye egwu egwu = LangChainLLM( model_name = "koodu-davinci-002", okpomọkụ = 0.7, max_tokens=2048, stop_sequences=["\n", "\n\n"] )
Kọwaa mkpanye StackGen
ntinye ọrụ = StackGen ( template = template, amụma = amụma )
Tinye ngwa ahụ
deployment.deploy()
Hazie ngwa ahụ dabere na ọchịchọ okporo ụzọ
orchestrator.scale_app (onye nnọchi anya, ntinye) ``
N'ọmụmaatụ a, anyị akọwapụtala onye nnọchi anya AI na-eji LangChain na-ejikọta ya na StackGen iji mebie usoro nke ịmegharị ngwa weebụ dabere na ọchịchọ okporo ụzọ. Onye nnọchi anya ahụ na-eji ụdị asụsụ a zụrụ azụ iji nyochaa data okporo ụzọ wee mee mkpebi gbasara ịchacha ngwa ahụ.
** Iwu 5-10 Kachasị Eji mee ihe
Nke a bụ ụfọdụ iwu na snippets ndị a na-ejikarị maka ZeroOps:
- ** langchain init ***: Na-ebute ọrụ LangChain ọhụrụ.
bash langchain init my_project - ** llm yinye ***: Na-emepụta ụdọ LLM ọhụrụ. "Python sitere na langchain.agents na-ebubata LLMChain sitere na langchain.llms mbubata LangChainLLM
onye nnọchi anya = LLMChain (
llm=LangChainLLM(
model_name = "koodu-davinci-002",
okpomọkụ = 0.7,
max_tokens=2048,
stop_sequences=["\n", "\n\n"]
),
chain_name = "my_chain"
)
3. ** stackgen deploy ***: Na-ebuga ndebiri StackGen na onye na-eweta igwe ojii. bash
stackgen deploy my_template.yaml
``
4. ** Orchestrator scale_app ***: Na-atụnye ngwa dabere na ọchịchọ okporo ụzọ.
"Python
sitere na langchain.agents na-ebubata LLMChain
sitere na langchain.llms mbubata LangChainLLM
onye egwu egwu = LangChainLLM( model_name = "koodu-davinci-002", okpomọkụ = 0.7, max_tokens=2048, stop_sequences=["\n", "\n\n"] )
orchestrator.scale_app (onye nnọchi anya, ntinye)
5. ** ụgbọ oloko onye nnọchi anya ***: na-azụ onye nnọchi anya AI na dataset. bash
onye nnọchi anya na-azụ my_dataset.csv
6. ** stackgen amụma ***: Akọwapụta a scaling amụma maka ngwa. "Python amụma = { "condition": "okporo ụzọ > 1000", "ọrụ": { "ihe oyiri": 2 } }
7. ** langchain iji anya nke uche hụ ***: Na-egosipụta usoro mkpebi onye nnọchite AI.
bash langchain jiri anya nke uche hụ my_agent.json
8. ** ọkwa onye na-akụ egwú ***: Na-egosiputa ọkwa nke ngwa.
bash Ọkwa onye egwu my_app
9. ** stackgen ndekọ ***: Egosiputa ndekọ nke a StackGen nkenye ọnọdụ.
bash stackgen na-edekọ my_deployment
10. ** onye nnọchi anya na-enyocha ***: Na-enyocha arụmọrụ nke onye nnọchi anya AI.
bash onye nnọchi anya na-enyocha my_agent.json
** Nlegharị anya ***
Nke a bụ nleba anya nke ihe owuwu ZeroOps na-eji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["Agentic AI", "StackGen", "LangChain"], "datasets": [ { "label": "Components", "data": [10, 8, 12], "backgroundAgba": [ "rgba (255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)", "rgba (255, 206, 86, 0.2)" ], "BorderAgba": [ "rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)", "rgba (255, 206, 86, 1)" ], "BorderWiidth": 1 } ] }, "Nhọrọ": { "ọnụego": { "yAxes": [ { "akara aka": { "beginAtZero": eziokwu } } ] } } } `` Ọhụụ a na-egosi akụkụ atọ bụ isi nke ZeroOps: AI Agentic, StackGen, na LangChain. Chaatị mmanya ahụ na-egosi mkpa ọ bụla dị n'ime ihe owuwu ZeroOps.
Mkpebi
ZeroOps bụ usoro mgbanwe maka njikwa akụrụngwa nke na-eme ka AI, StackGen na LangChain nweta njikwa akụrụngwa kwụụrụ onwe ya. Site n'iji ike nke AI na IaC, ZeroOps na-enyere ndị otu aka ịrụ ọrụ njikwa akụrụngwa, belata njehie mmadụ, ma melite arụmọrụ n'ozuzu ya. Site na ngwa ya bara uru, iwu kachasị elu na nhụta anya, ZeroOps dị njikere ịgbanwe ụzọ anyị si ejikwa akụrụngwa na gburugburu igwe ojii.