** Nrụpụta akụrụngwa kwụụrụ onwe ya na StackGen na LangChain: Inweta ndị nnọchi anya AI na ụdị okike maka nnukwu DevOps Automation na njikwa akụrụngwa kwụụrụ onwe ***

** Okwu mmalite**

N'ọdịdị dijitalụ nke na-agba ọsọ taa, ọchịchọ maka njikwa akụrụngwa na-arụ ọrụ nke ọma na nke nwere ike ịgbatị aka adịbeghị elu. Omume DevOps ọdịnala na-adaberekarị na nhazi akwụkwọ ntuziaka na ịde ederede, nke nwere ike ibute njehie, enweghị nkwekọ, na nkwụsị. Iji gboo ihe ịma aka ndị a, anyị na-ahụ na mpụta nke akụrụngwa akụrụngwa kwụụrụ onwe ya, ụkpụrụ na-eme ka ndị ọrụ AI na ụdị nrụpụta iji megharịa na ịkwalite njikwa akụrụngwa. N'isiokwu a, anyị ga-abanye n'ime ụwa na-atọ ụtọ nke StackGen na LangChain, teknụzụ abụọ dị oke egwu na-agbanwe ka anyị si ejikwa akụrụngwa.

Gịnị bụ StackGen?

StackGen bụ ihe mepere emepe, igwe ojii-agnostic akụrụngwa akụrụngwa nke na-enyere aka ịmepụta ọgwụgwọ onwe, nleba anya, na ihe akụrụngwa akụrụngwa na-ebuli onwe ya elu. Ewubere n'elu ihe owuwu modular, nke enwere ike ịgbatị, StackGen na-enye ndị mmepe ohere ịkọwapụta nhazi akụrụngwa site na iji okwu ọkwa dị elu, nkwupụta. A na-atụgharị asụsụ syntax a ka ọ bụrụ ọrụ inye akụrụngwa na ọrụ njikwa, nke injin siri ike na-ekesa na-arụ.

** Gịnị bụ LangChain?**

LangChain bụ ọba akwụkwọ Python nke na-enye interface dị n'otu maka iwulite na ijikọ ndị ọrụ AI, ụdị mmepụta, na akụrụngwa mmụta igwe ndị ọzọ n'ime sistemụ ngwanrọ. Site n'iji LangChain eme ihe, ndị mmepe nwere ike ịmepụta ngwa AI na-eme ọkaibe nke na-amụta site na data, na-eme mgbanwe na gburugburu ebe obibi, na-eme mkpebi ndị mara mma. N'ihe gbasara StackGen, LangChain na-enyere aka nchikota nke ndị ọrụ AI nwere ike nyochaa arụmọrụ akụrụngwa, buru amụma ihe na-adịghị mma, ma mee ihe ndozi iji nọgide na-enwe àgwà usoro kachasị mma.

** Nrụpụta akụrụngwa nwere onwe ya na StackGen na LangChain**

Iji gosi ike StackGen na LangChain, ka anyị tụlee otu ihe atụ dị mfe. Ka e were ya na anyị na-ewu ụlọ ahịa e-azụmahịa dabere n'igwe ojii nke chọrọ njupụta akụrụngwa akụrụngwa na-arụ ọrụ dị elu. Iji StackGen, anyị nwere ike ịkọwa nhazi ọkwa dị elu nke na-akọwapụta topology akụrụngwa achọrọ, gụnyere ọnụọgụ ọnụ, ụdị ihe atụ, na nhazi netwọkụ.

"Python

aha: e-commerce-ikpo okwu nkọwa: Scalable e-azụmahịa ikpo okwu akụrụngwa ụdị: 1.0

ihe mejupụtara:

• aha: web-sava ụdị: EC2 Njirimara: ihe atụ-ụdị: t2.micro ami: ami-abc123 otu nchekwa: [web-server-sg]
• aha: nchekwa data ụdị: RDS Njirimara: ihe atụ-ụdị: db.t2.micro engine: postgres nchekwa data-aha: e-commerce-db aha njirimara: e-commerce-user paswọọdụ: e-commerce-password

mmekọrịta:

• sava weebụ -> nchekwa data ``

N'ọmụmaatụ a, anyị akọwapụtala nchịkọta akụrụngwa dị mfe nke nwere sava weebụ na nchekwa data. Akụkụ 'akụkụ' ahụ na-akọwapụta ihe ndị dị n'otu n'otu, gụnyere ụdị ha, akụrụngwa ha na mmekọrịta ha. Ngalaba 'mmekọrịta' na-akọwa njikọ dị n'etiti akụrụngwa.

Na-esote, anyị ga-eji LangChain iji jikọta onye nnọchi anya AI nke nwere ike nyochaa arụmọrụ akụrụngwa wee mee ihe ndozi iji nọgide na-akpa àgwà sistemu kacha mma. Anyị ga-emepụta onye nnọchi anya AI dị mfe nke na-enyocha ojiji CPU ma na-ahazi ụdị ihe atụ n'otu aka ahụ.

"Python

LangChain AI koodu nnọchite (ai_agent.py)

mbubata langchain si langchain.agents na-ebubata BaseAgent

ECommerceAgent klas (BaseAgent): def init (onwe, stackgen_config): self.stackgen_config = stackgen_config self.cpu_utilisation_threshold = 80

def Monitor_infrastructure(onwe):
    # Nyochaa ojiji CPU ma mezie ụdị ihe atụ
    cpu_utilization = self.get_cpu_utilization()
    ọ bụrụ cpu_utilization> self.cpu_utilization_threshold:
        onwe.adjust_intance_ụdị()

def adjust_intance_types(onwe):
    # Gbanwee ụdị atụ dabere na ojiji CPU
    example_types = self.get_instance_types()
    maka ihe atụ_ụdị n'ụdị ụdị:
        ọ bụrụ example_type['cpu_utilization']> self.cpu_utilization_threshold:
            example_type['ihe atụ_type'] = 't2.large'

Jikọta ndị nnọchi anya AI na StackGen

stackgen_config = load_yaml ('example.yaml') ai_agent = ECommerceAgent(stackgen_config) ai_agent.monitor_infrastructure() ``

N'ihe atụ a, anyị ekepụtala onye nnọchi anya AI dị mfe nke na-enyocha ojiji CPU ma na-ahazi ụdị ihe atụ n'otu aka ahụ. Anyị ejirila ọbá akwụkwọ 'langchain' jikọtara ndị nnọchi anya AI na StackGen, nke na-enye interface dị n'otu maka iwulite na ijikọ ndị ọrụ AI.

** Iwu 5-10 Kachasị Eji mee ihe

Nke a bụ ụfọdụ iwu na snippets a na-ejikarị maka StackGen na LangChain:

1. ** Faịlụ nhazi StackGen ***: stackgen config example.yaml
2. ** LangChain AI Agent Code ***: langchain ai_agent.py
3. ** jikọta AI Agent na StackGen ***: langchain wekota ai_agent.py example.yaml
4. ** Nyochaa akụrụngwa **: ai_agent.monitor_infrastructure()
5. **Mezie ụdị ihe atụ **: ai_agent.adjust_instance_types()
6. ** Nweta CPU itinye n'ọrụ ***: ai_agent.get_cpu_utilization()
7. ** Nweta ụdị ihe atụ **: ai_agent.get_instance_types()
8. ** Ibu Ibu faịlụ nhazi YAML**: load_yaml('example.yaml')
9. ** Chekwaa faịlụ nhazi YAML**: save_yaml('example.yaml', stackgen_config)
10. ** Were anya nke oma n'ihe gbasara akụrụngwa **: stackgen na-ahụ ihe atụ.yaml

** Nlegharị anya ***

Iji were anya nke uche hụ topology akụrụngwa, anyị nwere ike iji ọbá akwụkwọ dị ka graphviz mee eserese dabere na faịlụ nhazi StackGen.

chaatị { "ụdị": "ogwe", "data": { "labels": ["Ihe nkesa Weebụ", "Ebe nchekwa data"], "datasets": [ { "label": "Njikwa CPU", "data": [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] } ] }, "Nhọrọ": { " aha": { "ngosi": eziokwu, "text": "Njikwa CPU site na ngalaba" }, "ọnụego": { "yAxes": [ { "ngosi": eziokwu, "scaleLabel": { "ngosi": eziokwu, "labelString": "Njikwa CPU (%)" } } ] } } }

Chaatị a na-ahụ anya iji CPU nke sava weebụ na akụrụngwa nchekwa data, na-enye echiche doro anya maka arụmọrụ akụrụngwa.

Mkpebi

Akụrụngwa akụrụngwa kwụụrụ onwe ya na StackGen na LangChain bụ ihe atụ siri ike nke na-enye aka ịmepụta ọgwụgwọ onwe, nleba anya, na ịkwalite akụrụngwa akụrụngwa. Site n'iji ndị ọrụ AI na ụdị mmepụta ihe, ndị mmepe nwere ike megharịa ma kwalite njikwa akụrụngwa, na-ebelata njehie, enweghị nkwekọrịta, na mkpọda. N'ime edemede a, anyị enyochala ihe ndabere nke StackGen na LangChain, gụnyere nhazi ha, faịlụ nhazi, yana ntinye ndị nnọchite AI. Anyị ewepụtakwala ihe atụ bara uru na snippets iji gosi ike teknụzụ ndị a. Ka ọchịchọ maka njikwa akụrụngwa na-arụ ọrụ nke ọma na nke nwere ike ịba ụba na-aga n'ihu, StackGen na LangChain dị njikere ịrụ ọrụ na-eduga n'ọdịnihu nke DevOps na njikwa akụrụngwa.