Mepee ikike nke AI Agentic AI na DevOps: nyocha nka nka nke LangChain na njikọta DSPy | B4N1

Mepee ikike nke AI Agentic AI na DevOps: nyocha nka nka nke LangChain na njikọta DSPy

8 months ago · b4n1 Read time: 3 min

** Mepee ike nke AI na DevOps: nyocha nka nka nke LangChain na ntinye DSPy ***

** Okwu mmalite**

Odida obodo DevOps na-agbanwe ngwa ngwa, na-ebute ya site n'ịchọwanye ngwa ngwa, ntụkwasị obi na nnyefe ngwanrọ. Otu n'ime isi ihe na-eme mgbanwe a bụ njikọ nke Artificial Intelligence (AI) na Machine Learning (ML) n'ime DevOps workflows. N'isiokwu a, anyị ga-enyocha echiche nke Agentic AI na DevOps, na-elekwasị anya na ntinye nke LangChain na DSPy, ngwá ọrụ abụọ dị ike nke na-eme ka ọ bụrụ ihe na-eme ka ọ bụrụ ihe na-eme ka ọ bụrụ ihe na-eme ka ọ dị mma.

** Gịnị bụ AI na DevOps?**

AI Agentic dị na DevOps na-ezo aka na iji ndị ọrụ AI na-arụ ọrụ ma kwalite ọrụ DevOps. Ndị ọrụ ndị a nwere ike ịrụ ọrụ dị ka nlekota oru, ịdebanye aha, na ntinye, na-ahapụ ndị mmadụ maka ọrụ atụmatụ na ihe okike. Ụkpụrụ bụ isi nke AI Agentic na DevOps bụ Context Engineering na ZeroOps.

** Injinia ihe omimi ***

Context Engineering bụ usoro nke ịmepụta nghọta na-ekerịta gburugburu ebe ọrụ DevOps na-arụ ọrụ. Nke a gụnyere ịkọwapụta iwu, mgbochi, na ebumnuche na-achịkwa omume nke ndị ọrụ AI na usoro ọrụ DevOps. Injinia Context na-enyere ndị nnọchi anya AI aka ịme mkpebi mara mma wee mee omume dabara na ebumnuche na ebumnobi ọgbakọ.

ZeroOps

ZeroOps bụ ụkpụrụ DevOps nke na-achọ iwepụ mkpa ọ dị maka itinye aka mmadụ na ọrụ DevOps. A na-enweta nke a site n'ịmepụta usoro ọgwụgwọ onwe onye, ​​nke na-eme ka ọ dịkwuo mma, na-echekwa onwe ya nke nwere ike ịchọpụta ma meghachi omume na mgbanwe na gburugburu ebe obibi na-enweghị enyemaka mmadụ. A na-eme ka ZeroOps kwe omume site n'iji ndị ọrụ AI nwere ike nyochaa, nyochaa na zaghachi mgbanwe na sistemụ.

** Njikọ LangChain na DSPy ***

LangChain na DSPy bụ ngwá ọrụ egwu egwu abụọ dị ike nke na-eme ka njikọ nke Agentic AI dị na DevOps. LangChain bụ ọbá akwụkwọ Python nke na-enye usoro maka iwulite mkparịta ụka AI ndị nnọchi anya, ebe DSPy bụ ọbá akwụkwọ dabeere na Rust nke na-enye usoro maka iwulite usoro kesara.

Site na ijikọ LangChain na DSPy, ndị mmepe nwere ike ịmepụta scalable na echekwabara ụkpụrụ ụlọ ọrụ nke na-enye ike nke AI Agentic. Nke a bụ ọmụmaatụ otu enwere ike isi nweta njikọ a:

"Python

mbubata langchain si langchain.chat_models bubata ChatOpenAI si langchain.llms bubata LLMOpenAI

Kọwaa ụdị nkata na LLM

chat_model = ChatOpenAI() llm = LLMOpenAI()

Kọwaa onye nnọchi anya LangChain

onye nnọchi anya = langchain.Agent ( yinye = langchain. Chain ( lm=llm, chat_model=chat_model ) )

Kọwaa onye nnọchi anya DSPy

dsp_agent = dspy.Agent( aha = "my_agent", nkọwa = "Onye ọrụ DSP m" )

Jikọta ndị nnọchi anya LangChain na DSPy

langchain_agent = langchain.Agent( yinye = langchain. Chain ( lm=llm, chat_model=chat_model, dsp_agent=dsp_agent ) )

Jiri onye nnọchi anya agbakwunyere rụọ ọrụ

langchain_agent.execute("Tinye ngwa na mmepụta") ``

** Iwu 5-10 Kachasị Eji mee ihe

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

  1. ** LangChain Agent Creation**: langchain.Agent(chain=langchain.Chain(llm=llm, chat_model=chat_model))
  2. ** DSPy Agent Creation ***: dspy.Agent (aha = "my_agent", nkọwa = "My DSPy onye nnọchi anya")
  3. ** LangChain Agent Execute ***: `langchain_agent.execute("Tinye ngwa na mmepụta")'
  4. ** DSPy Agent Execute**: `dsp_agent.execute("Tinye ngwa na mmepụta")'
  5. ** Nkọwa Chaịnụ LangChain**: langchain.Chain(llm=llm, chat_model=chat_model)
  6. ** DSPy Chain Nkọwa **: dspy.Chain (aha = "my_chain", nkọwa = "My DSPy yinye")
  7. ** Ndebanye aha onye nnọchi anya LangChain **: langchain_agent.register()
  8. ** Ndebanye aha onye nnọchi anya DSPy **: dsp_agent.register()
  9. ** LangChain Agent Unregistration **: langchain_agent.unregister()
  10. ** Ndebanye aha onye nnọchi anya DSPy **: dsp_agent.unregister()

** Nlegharị anya ***

Nke a bụ nleba anya nke njikọta LangChain na DSPy site na iji Chart.js:

Json { "ụdị": "ogwe", "data": { "labels": ["LangChain", "DSPy"], "datasets": [ { "label": "Okike onye nnọchite anya", "data": [10, 5], "backgroundColor": ["#4CAF50", "#FF9800"] }, { "label": "Egbu onye nnọchite anya", "data": [8, 6], "backgroundColor": ["#2196F3", "#9C27B0"] }, { "label": "Nkọwa Chain", "data": [12, 4], "backgroundColor": ["#8BC34A", "#3F51B5"] } ] }, "Nhọrọ": { " aha": { "ngosi": eziokwu, "ederede": "LangChain na DSPy Integration" }, "akụkọ": { "ngosi": eziokwu } } } ``

Mkpebi

Njikọ nke LangChain na DSPy na-enyere aka ịmepụta ihe nhazi ngwanrọ na nchekwa nke na-eme ka ike Agentic AI dị na DevOps. Site n'iji Context Engineering na ụkpụrụ ZeroOps, ndị mmepe nwere ike ịmepụta usoro ọgwụgwọ onwe onye, ​​nhazi onwe ya, na nchekwa onwe onye nke nwere ike ịchọpụta ma meghachi omume na mgbanwe na gburugburu ebe obibi na-enweghị enyemaka mmadụ. A na-enye 5-10 kachasị iwu / snippets maka LangChain na DSPy, yana nleba anya nke njikọta site na iji Chart.js.


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