ZeroOps DevOps Automation na AI-chụpụrụ Orchestration na StackGen | B4N1

ZeroOps DevOps Automation na AI-chụpụrụ Orchestration na StackGen

3 months ago · b4n1 Read time: 5 min

** ZeroOps DevOps Automation na AI-chụpụrụ Orchestration na StackGen ***

** Okwu mmalite**

N'ime odida obodo dijitalụ na-agba ọsọ taa, otu dị iche iche na-achọ mgbe niile ụzọ ọhụrụ iji hazie usoro DevOps ha, kwalite arụmọrụ, yana belata ihe egwu nke njehie mmadụ. ZeroOps DevOps automation bụ ụzọ dị mma nke na-eji ngwá ọrụ egwu egwu AI na-arụ ọrụ iji rụọ ọrụ ugboro ugboro, na-ahụ na mmekorita na-enweghị ntụpọ n'etiti mmepe, ọrụ na ndị otu nchekwa. N'isiokwu a, anyị ga-abanye n'ime ụwa nke ZeroOps DevOps automation, na-elekwasị anya na mmejuputa ngwa ọrụ orchestration AI na-eduzi dị ka StackGen, LangChain, na DSPy iji mee ka ndabere, ihe ngosi iyi egwu, na nrubeisi na-aga n'ihu.

** Gịnị bụ ZeroOps DevOps Automation?**

ZeroOps DevOps akpaaka bụ usoro mgbanwe maka DevOps nke na-ewepụ mkpa maka ntinye aka na ọrụ ugboro ugboro. Site n'iji ngwa ọrụ orchestration AI na-ebugharị, òtù dị iche iche nwere ike ịrụ ọrụ dị ka nkwado ndabere na mpaghara, ntinye na nnabata, na-ahụ na akụrụngwa na ngwa ha na-adị ọhụrụ na nchekwa. Ụzọ a na-enyere ndị otu aka ilekwasị anya n'ọrụ dị elu, dị ka atụmatụ na mmepụta ihe ọhụrụ, ebe ngwá ọrụ ndị na-emepụta ihe na-eduzi AI na-ejikwa ọrụ nkịtị.

** Ngwa ọrụ nhazi nke AI chụpụrụ**

N'isiokwu a, anyị ga-elekwasị anya na ngwaọrụ atọ nke AI na-eduzi: StackGen, LangChain, na DSPy.

###StackGen

StackGen bụ ihe mepere emepe, ngwa orchestration nke AI na-akwalite nke na-enyere ndị otu aka ịmegharị mbugharị na njikwa akụrụngwa na ngwa ha. Ọ na-eji nchikota nke igwe mmụta na nhazi asụsụ okike iji megharịa ọrụ dị ka nkwado ndabere na mpaghara, ntinye, na nnabata.

LangChain

LangChain bụ ngwá ọrụ egwu egwu AI na-akwalite Python nke na-enyere òtù dị iche iche aka ịrụ ọrụ dị ka nhazi data, mmụta igwe, na nhazi asụsụ okike. Ọ na-eji nchikota igwe mmụta na nhazi asụsụ okike na-arụ ọrụ dị ka nhazi data na mmụta igwe.

DSPy

DSPy bụ ngwá ọrụ egwu egwu AI na-akwalite Python nke na-enyere òtù dị iche iche aka ịrụ ọrụ dị ka nhazi data, mmụta igwe, na nhazi asụsụ okike. Ọ na-eji nchikota igwe mmụta na nhazi asụsụ okike na-arụ ọrụ dị ka nhazi data na mmụta igwe.

** Iji StackGen na-arụ ọrụ ZeroOps DevOps Automation**

Na ngalaba a, anyị ga-egosi otu esi etinye akpaaka ZeroOps DevOps site na iji StackGen.

Ihe achọrọ

  • Wụnye StackGen site na iji iwu a: `pip install stackgen'
  • Mepụta ọrụ StackGen ọhụrụ site na iji iwu a: stackgen init

Nkwado akpaaka na StackGen

Iji megharịa nkwado ndabere na mpaghara StackGen, anyị ga-eji ngọngọ koodu ndị a: "Python mbubata stackgen

backup_config = { "backup_type": "zuru", "backup_interval": "kwa ụbọchị", "backup_location": "/ndabere" }

Mepụta ọrụ ndabere ọhụrụ

backup_task = stackgen.Task("ndabere", backup_config)

Tinye ọrụ nkwado ndabere na mpaghara ọrụ StackGen

stackgen.workflow.add_task(backup_task) `` Ihe ngọngọ koodu a na-akọwa ọrụ ndabere ọhụrụ site na iji klas'stackgen.Task' wee tinye ya na usoro ọrụ StackGen site na iji usoro 'stackgen.workflow.add_task'.

Na-eme ihe ngosi ihe iyi egwu na StackGen

Iji megharịa ihe ngosi iyi egwu na StackGen, anyị ga-eji ngọngọ koodu ndị a: "Python mbubata stackgen

Kọwaa nhazi ụdị ihe iyi egwu

egwu_modeling_config = { "threat_modeling_type": "static", "threat_modeling_interval": "kwa izu" }

Mepụta ọrụ ịmebe ihe iyi egwu ọhụrụ

egwu_modeling_task = stackgen.Task("egwu_modeling", risk_modeling_config)

Tinye ọrụ ịmebe ihe iyi egwu na usoro ọrụ StackGen

stackgen.workflow.add_task(egwu_modeling_task) `` Ihe ngọngọ koodu a na-akọwa ọrụ nṅomi ọhụrụ iyi egwu site na iji klaasị stackgen.Task ma tinye ya na usoro ọrụ StackGen site na iji usoro stackgen.workflow.add_task.

** Iji LangChain na-arụ ọrụ ZeroOps DevOps Automation**

Na ngalaba a, anyị ga-egosipụta otu esi etinye akpaaka ZeroOps DevOps site na iji LangChain.

Ihe achọrọ

  • Wụnye LangChain site na iji iwu a: `pip install langchain'
  • Mepụta ọrụ LangChain ọhụrụ site na iji iwu a: `langchain init'

Iji LangChain na-arụ ọrụ data akpaaka

Iji jiri LangChain rụọ ọrụ nhazi data, anyị ga-eji ngọngọ koodu ndị a: "Python mbubata langchain

Kọwaa nhazi nhazi data

data_processing_config = { "data_source": "csv", "data_location": "/data" }

Mepụta ọrụ nhazi data ọhụrụ

data_processing_task = langchain.Task("data_processing", data_processing_config)

Tinye ọrụ nhazi data na usoro ọrụ LangChain

langchain.workflow.add_task(data_processing_task) `` Usoro koodu a na-akọwa ọrụ nhazi data ọhụrụ site na iji klas'langchain.Task' wee tinye ya na usoro ọrụ LangChain site na iji usoro langchain.workflow.add_task.

** Iji DSPy na-arụ ọrụ ZeroOps DevOps Automation**

Na ngalaba a, anyị ga-egosi otu esi etinye akpaaka ZeroOps DevOps site na iji DSPy.

Ihe achọrọ

  • Wụnye DSPy site na iji iwu a: pip install dspy
  • Mepụta ọrụ DSPy ọhụrụ site na iji iwu a: dsp init

Ịmụ igwe akpaaka na DSPy

Iji megharịa mmụta igwe na DSPy, anyị ga-eji ngọngọ koodu ndị a: "Python mbubata dsp

Kọwaa nhazi mmụta igwe

machine_learning_config = { "model_type": "regression", "model_location": "/model" }

Mepụta ọrụ mmụta igwe ọhụrụ

machine_learning_task = dsp.Task("igwe_learning", machine_learning_config)

Tinye ọrụ mmụta igwe na usoro ọrụ DSPy

dsp.workflow.add_task (igwe_learning_task) `` Ihe ngọngọ koodu a na-akọwa ọrụ mmụta igwe ọhụrụ site na iji klas dsp.Task wee tinye ya na usoro DSPy site na iji usoro `dsp.workflow.add_task`.

** Iwu 5-10 Kachasị Eji mee ihe

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

###StackGen

  • 'stackgen init': na-ebute ọrụ StackGen ọhụrụ
  • 'stackgen workflow.add_task(ọrụ)': Na-agbakwunye ọrụ ọhụrụ na usoro ọrụ StackGen
  • `stackgen task.create(task_name, task_config):' na-eji aha na nhazi ahaziri arụ ọrụ ọhụrụ.
  • 'stackgen workflow.run()': Na-arụ ọrụ StackGen
  • `stackgen workflow.status()': Na-egosiputa ọkwa nke usoro ọrụ StackGen

LangChain

  • 'langchain init': na-ebute ọrụ LangChain ọhụrụ
  • langchain workflow.add_task(ọrụ): Na-agbakwunye ọrụ ọhụrụ na usoro ọrụ LangChain
  • langchain task.create(task_name, task_config): na-eji aha na nhazi ahapụtara arụ ọrụ ọhụrụ
  • langchain workflow.run(): Na-arụ ọrụ LangChain
  • langchain workflow.status(): Na-egosiputa ọkwa nke usoro ọrụ LangChain

DSPy

  • `dsp init': na-ebute ọrụ DSPy ọhụrụ
  • dsp workflow.add_task(ọrụ): Na-agbakwunye ọrụ ọhụrụ na usoro ọrụ DSPy
  • dsp task.create(task_name, task_config): na-eji aha na nhazi akọwapụtara arụ ọrụ ọhụrụ
  • `dsp workflow.run()': Na-arụ ọrụ DSPy
  • `dsp workflow.status():': Na-egosiputa ọkwa nke usoro DSPy

** Nlegharị anya ***

Nke a bụ nleba anya nke usoro ọrụ StackGen na-eji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["Ndabere", "Nlegharị anya egwu", "Nhazi data", "Mmụta igwe"], "datasets": [ { "label": "StackGen Workflow", "data": [10, 5, 8, 12], "backgroundColor": "rgba(255, 99, 132, 0.2)", "BorderColor": "rgba(255, 99, 132, 1)", "BorderWiidth": 1 } ] }, "Nhọrọ": { " aha": { "ngosi": eziokwu, "ederede": "StackGen Workflow" }, "ọnụego": { "yAxes": [ { "akara aka": { "beginAtZero": eziokwu } } ] } } } `` Ọhụụ a na-egosiputa ọnụọgụ ọrụ na ọkwa ọ bụla nke usoro ọrụ StackGen.

Mkpebi

N'ime edemede a, anyị egosipụtala otu esi etinye akpaaka ZeroOps DevOps site na iji ngwa orchestration nke AI na-achụ dịka StackGen, LangChain, na DSPy. Anyị egosila otu esi emegharị ọrụ dị ka nkwado ndabere na mpaghara, ime ihe iyi egwu, na nnabata na-aga n'ihu site na iji ngwaọrụ ndị a. Anyị ewepụtala nhụta nke usoro ọrụ StackGen na-eji Chart.js. Site n'iji ngwá ọrụ ndị a eme ihe, òtù dị iche iche nwere ike ịhazi usoro DevOps ha, kwalite arụmọrụ, ma belata ihe ize ndụ nke njehie mmadụ.

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