** Iji Kiro na LangChain na-eji Agentic AI maka DevOps Automation

** Okwu mmalite**

N'ime mmepe ngwanrọ ngwa ngwa nke taa, ndị otu DevOps na-achọ mgbe niile ụzọ ha ga-esi melite arụmọrụ na ntụkwasị obi nke njikọta ha na-aga n'ihu na ntinye na-aga n'ihu (CI/CD). Otu ụzọ na-ekwe nkwa bụ ịgbanye AI AI, nke na-enyere aka ịmepụta ndị ọrụ nwere ọgụgụ isi nke nwere ike megharịa ma kwalite ọrụ DevOps. N'isiokwu a, anyị ga-enyocha otu esi emejuputa ndị ọrụ AI kwadoro site na iji Kiro na LangChain, okpukpu abụọ nke na-eme ka ọkpụkpụ na-agbanwegharị ubi nke DevOps automation.

Gịnị bụ AI?

AI Agentic na-ezo aka n'ụdị ọgụgụ isi emebere ka ọ rụọ ọrụ n'onwe ya, dị ka onye nnọchi anya mmadụ. N'ihe gbasara DevOps, AI Agentic nwere ike iji rụọ ọrụ arụ ọrụ dị ka iwulite, nnwale na ibuga ngwa ngwanrọ. Site n'ịkwalite usoro mmụta igwe na usoro nhazi asụsụ eke (NLP), ndị nnọchi anya AI nwere ike ịmụta site na ahụmịhe na ime mgbanwe na gburugburu gburugburu, na-eme ka ha dị mma maka usoro ọrụ DevOps siri ike na nke siri ike.

** Ewebata Kiro na LangChain ***

Kiro na LangChain bụ isi ihe abụọ mepere emepe emebere maka iwulite sistemụ AI na-arụ ọrụ. Kiro bụ usoro nke rust nke na-enye ikpo okwu siri ike na nke nwere ike ịmepụta ndị ọrụ nwere ọgụgụ isi, ebe LangChain bụ usoro Python dabeere na-elekwasị anya na NLP na nghọta asụsụ.

Kiro: Usoro dabere na nchara maka iwulite ndị ọrụ ọgụgụ isi

Kiro bụ usoro nchara nke ọgbara ọhụrụ nke na-enye ikpo okwu zuru oke maka iwulite ndị ọrụ nwere ọgụgụ isi. Site na Kiro, ndị mmepe nwere ike ịmepụta ndị ọrụ nwere ike ịmekọrịta usoro, ọrụ na isi data dị iche iche, wee rụọ ọrụ dịka:

• Na-arụ ọrụ na usoro na-akpaghị aka
• Nyochaa data na ime mkpebi
• Mmekọrịta mmadụ na sistemụ ndị ọzọ

Emebere ihe owuwu Kiro ka ọ bụrụ nke ukwuu na mgbanwe, na-eme ka ọ bụrụ ezigbo nhọrọ maka nnukwu ọrụ akpaaka DevOps.

** LangChain: Usoro Python dabere na NLP na nghọta asụsụ ***

LangChain bụ usoro Python dabere na NLP na nghọta asụsụ. Site na LangChain, ndị mmepe nwere ike ịmepụta ndị ọrụ nwere ike ịghọta ma mepụta asụsụ dị ka mmadụ, ma rụọ ọrụ dịka:

• Nhazi asụsụ eke (NLP)
• Nyocha ederede na nyocha mmetụta
• Ntụgharị asụsụ na ọgbọ

Emebere ihe owuwu nke LangChain ka ọ bụrụ nnukwu modular na enwere ike ịgbatị ya, na-eme ka ọ bụrụ ezigbo nhọrọ maka iwulite NLP omenala na ike nghọta asụsụ.

** Iji Kiro na LangChain mejuputa AI-Powerered Agents**

Iji gosi ike nke Kiro na LangChain, ka anyị tụlee ihe atụ dị mfe nke iwulite onye na-arụ ọrụ AI nke na-arụ ọrụ ọkpọkọ CI/CD. N'ihe atụ a, anyị ga-eji Kiro mepụta onye nnọchi anya nke nwere ike imekọrịta ihe na ebe nchekwa Git, wuo ma nwalee koodu ahụ, ma tinye ngwa ahụ na ikpo okwu igwe ojii.

Nke a bụ ngọngọ koodu dị mfe nke na-egosi otu esi emepụta onye nnọchi anya Kiro na-arụ ọrụ ọkpọkọ CI/CD: "Python mbubata kiro si langchain mbubata LLAMA

onye nnọchi anya = kiro.Agent( aha = "ci_cd_agent", nkọwa = "Paịlụ CI/CD na-akpaghị aka", omume=[ kiro.Action( aha = "git_clone", nkọwa = "Na-emechi ebe nchekwa Git", koodu """ mbubata git repo = git.Repo.clone ("https://github.com/user/repo.git") """ ), kiro.Action( aha = "ewu", nkọwa = "Na-ewuli koodu", koodu """ mbubata subprocess subprocess.run (["mee", "ewu")) """ ), kiro.Action( aha = "ule", nkọwa = "Na-eme ule", koodu """ mbubata subprocess subprocess.run (["mere", "ule")) """ ), kiro.Action( aha = "ebuga", nkọwa = "Na-ebunye ngwa", koodu """ mbubata subprocess subprocess.run (["mee", "deploy")) """ ) ] )

Mepụta ụdị LangChain LLAMA

llama = LLAMA aha = "llama_model", nkọwa = "Ụdị LLAMA maka nghọta asụsụ", koodu """ mbubata langchain nlereanya = langchain.LLAMA( aha = "llama_model", nkọwa = "Ụdị LLAMA maka nghọta asụsụ", koodu """ mbubata langchain nlereanya = langchain.LLAMA( aha = "llama_model", nkọwa = "Ụdị LLAMA maka nghọta asụsụ", koodu """ def process_text(ederede): # Hazie ederede site na iji ụdị LLAMA laghachi ederede """ ) """ ) """ )

Mepụta onye nnọchi anya Kiro nke na-eji ụdị LangChain LLAMA

onye nnọchi anya = kiro.Agent( aha = "ci_cd_agent", nkọwa = "Paịlụ CI/CD na-akpaghị aka", omume=[ kiro.Action( aha = "git_clone", nkọwa = "Na-emechi ebe nchekwa Git", koodu """ mbubata git repo = git.Repo.clone ("https://github.com/user/repo.git") """ ), kiro.Action( aha = "ewu", nkọwa = "Na-ewuli koodu", koodu """ mbubata subprocess subprocess.run (["mee", "ewu")) """ ), kiro.Action( aha = "ule", nkọwa = "Na-eme ule", koodu """ mbubata subprocess subprocess.run (["mere", "ule")) """ ), kiro.Action( aha = "ebuga", nkọwa = "Na-ebunye ngwa", koodu """ mbubata subprocess subprocess.run (["mee", "deploy")) """ ) ], language_model=llama )

Gbaa onye ọrụ ahụ

agent.run() `` Ihe ngọngọ koodu a na-egosi otu esi emepụta onye nnọchi anya Kiro nke na-arụ ọrụ ọkpọkọ CI/CD site na iji ụdị LangChain LLAMA maka nghọta asụsụ. Onye nnọchi anya ahụ nwere ike iji ebe nchekwa Git na-emekọrịta ihe, wuo ma nwalee koodu ahụ, wee bunye ngwa ahụ na ikpo okwu igwe ojii.

** Iwu 5-10 Kachasị Eji mee ihe

Nke a bụ iwu/snippets 5-10 kacha eji eme ihe maka Kiro na LangChain:

1. 'kiroutil init': Na-amalite ọrụ Kiro ọhụrụ.
2. 'kiroutil wuo': Na-ewuli onye nnọchi anya Kiro.
3. `langchain init': Na-ebute oru LangChain ọhụrụ.
4. `langchain build': Na-ewuli ụdị LangChain.
5. 'kiroutil run': Na-agba ọsọ onye nnọchi anya Kiro.
6. langchain test: Na-anwale ụdị LangChain.
7. 'kiroutil deploy': Na-ebuga onye ọrụ Kiro na ikpo okwu igwe ojii.
8. `langchain nyochaa': Na-enyocha ihe nlereanya LangChain.
9. 'kiroutil debug': Na-ehichapụ onye nnọchi anya Kiro.
10. 'langchain visualize': Na-egosipụta ihe nlereanya LangChain.

** Nlegharị anya ***

Nke a bụ nleba anya nke ụlọ Kiro na LangChain na-eji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["Kiro", "LangChain"], "datasets": [ { "label": "Architecture", "data": [100, 80], "backgroundColor": ["#4CAF50", "#FF9800"] } ] }, "Nhọrọ": { " aha": { "ngosi": eziokwu, "ederede": "Kiro na LangChain Architecture" }, "akụkọ ifo": { "ngosi": eziokwu } } } `` Ọhụụ a na-egosipụta ụkpụrụ ụlọ dị elu nke Kiro na LangChain, na-akọwapụta ike na adịghị ike ha.

Mkpebi

N'isiokwu a, anyị enyochala ike AI AI maka DevOps automation site na iji Kiro na LangChain. Site n'iji usoro ndị a na-emepe emepe, ndị mmepe nwere ike ịmepụta ndị ọrụ nwere ọgụgụ isi nke nwere ike ịmepụta ma kwalite pipeline CI/CD, na-eme ka nnyefe software dị mma na ibelata ihe ize ndụ nke njehie. Site na Kiro na LangChain, ndị mmepe nwere ike ịmepụta NLP omenala na ikike nghọta asụsụ, ma soro usoro, ọrụ, na isi mmalite data na-emekọrịta ihe. Anyị nyekwara ngọngọ koodu dị mfe nke na-egosi otu esi emepụta onye ọrụ Kiro nke na-arụ ọrụ CI / CD pipeline site na iji ụdị LangChain LLAMA maka nghọta asụsụ.