Fausia se paipa fa'amaumauga | B4N1

Fausia se paipa fa'amaumauga

8 months ago · b4n1 Read time: 5 min

Tuʻufaʻatasia le Agentic AI i DevOps: Faʻatonuina le Tuuina atu o Polokalama ma DSPy ma LangChain

Fa'atomuaga

O le DevOps movement ua suia le auala e atiaʻe ai, faʻapipiʻi, ma tausia le polokalama. Ae ui i lea, a'o fa'atupula'ia le lavelave o polokalame, e fa'apena fo'i le mana'omia mo le fa'aautomatika ma le fa'asologa i le paipa DevOps. Agentic AI, o se vaega pito i lalo o le atamai faʻapitoa e taulaʻi i le faia o filifiliga tutoʻatasi ma gaioiga, e iai le gafatia e suia ai faiga DevOps e ala i le faʻaogaina o pulega ma le faʻaleleia o faʻasalalauga. I totonu o lenei tusiga, o le a tatou suʻesuʻeina pe faʻapefea ona faʻaogaina meafaigaluega e pei o DSPy ma LangChain e tuʻufaʻatasia ai le sui sooupu AI i DevOps, faʻatasi ai ma le taulaʻi atu i taʻiala faʻatinoina.

O le a le Agentic AI?

Agentic AI o loʻo faʻatatau i se ituaiga o atamai faʻapitoa lea e mafai ona faia tutoʻatasi filifiliga ma gaioiga. E le pei o faiga masani a AI, lea ua mamanuina e faatino ai galuega patino, o faiga faʻapitoa AI ua mamanuina e aʻoaʻo ai, fetuutuunai, ma faia filifiliga i siosiomaga lavelave, mamana. Agentic AI o loʻo i ai le gafatia e faʻafouina DevOps e ala i le faʻaogaina o le pulega ma le faʻaleleia o faʻasalalauga, faʻatagaina 'au e taulaʻi atu i galuega maualuga ma faʻaleleia le tuʻuina atu o polokalame.

O le a le DSPy?

DSPy o se faletusi Python mo le fausiaina ma le faʻaogaina o laina paipa. E maua ai se auala faigofie, fetu'una'i, ma fa'asalaina e tu'ufa'atasia fa'amaumauga mai fa'apogai eseese, suia, ma teu i totonu o fa'asologa eseese. DSPy e sili ona fetaui lelei mo le faʻaogaina i le DevOps pipelines, lea e masani ona gaosia ma faʻagasolo ai faʻamaumauga i le taimi moni.

O le a le LangChain?

LangChain o se faletusi Python mo le fausiaina ma le faʻaogaina o faiga faʻatalanoaga AI. E maua ai se auala faigofie, fetuutuunai, ma fa'afuafua e tu'ufa'atasia ai fa'ata'ita'iga o le gagana fa'alenatura (NLP) ma le a'oa'oina o masini (ML) i feso'ota'iga talanoaga. LangChain e sili ona fetaui lelei mo le faʻaogaina i le DevOps pipelines, lea e mafai ai ona faʻaogaina fesoʻotaʻiga talanoaga e faʻaogaina ai galuega ma faʻaleleia le poto masani o tagata.

Tuʻufaʻatasia le Agentic AI i DevOps ma DSPy ma LangChain

Ina ia tuʻufaʻatasia AI sui i DevOps ma DSPy ma LangChain, e manaʻomia ona tatou mulimuli i laasaga nei:

  1. Ingestion Fa'amatalaga: Fa'aaogā le DSPy e su'e fa'amaumauga mai fa'amatalaga eseese, e pei o fa'amaumauga, API, ma faila.
  2. Fa'asologa o Fa'amatalaga: Fa'aaogā le DSPy e fa'aliliu ma fa'agasolo ai fa'amaumauga fa'a'aofia, fa'aaoga auala e pei o le fa'amamāina o fa'amaumauga, fa'amama, ma le tu'ufa'atasia.
  3. Faʻataʻitaʻiga Faʻataʻitaʻiga: Faʻaaoga LangChain e aʻoaʻo ai faʻataʻitaʻiga ML i luga o faʻamaumauga faʻapipiʻiina, faʻaogaina auala e pei o le vaavaaia o aʻoaʻoga, aʻoaʻoga e leʻi vaʻaia, ma le faʻamalosia o aʻoaʻoga.
  4. ** Fa'ata'ita'iga Fa'ata'ita'iga**: Fa'aaogā le LangChain e fa'apipi'i ai fa'ata'ita'iga a'oa'oina i totonu o se feso'ota'iga talatalanoaga, e pei o le chatbot po'o le fesoasoani leo.
  5. Su'esu'ega Fa'ata'ita'iga: Fa'aaoga le DSPy e iloilo ai le fa'atinoga o fa'ata'ita'iga fa'apipi'i, fa'aaoga fua fa'atatau e pei o le sa'o, sa'o, ma le manatua.

Ta'iala Fa'atino Fa'atino

Ina ia faʻatinoina le AI faʻapitoa i DevOps ma DSPy ma LangChain, e mafai ona tatou mulimuli i nei taʻiala faʻatino:

  1. Fa'aoga le DSPy e fa'autometi ai le fa'aogaina o fa'amatalaga: Fa'aoga le DSPy e fa'autometi le fa'aogaina o fa'amatalaga mai fa'apogai eseese, e pei o fa'amaumauga, API, ma faila.
faaulufale mai dspy


paipa = dspy.Pipeline()

# Faʻaopoopo se faʻamatalaga faʻamatalaga i le paipa
pipeline.add_source(dspy.DataSource("basebase", "my_database"))

# Faʻaopoopo se faʻamaumauga faʻamaumauga i le paipa
pipeline.add_processor(dspy.DataProcessor("suia", "my_transform"))

# Tamomoe le paipa
pipeline.run()
  1. ** Faʻaaoga LangChain e aʻoaʻo ai ML Faʻataʻitaʻiga **: Faʻaaoga LangChain e aʻoaʻo ai faʻataʻitaʻiga ML i luga o faʻamaumauga faʻapipiʻiina, faʻaogaina auala e pei o le vaavaaia o aʻoaʻoga, aʻoaʻoga e leʻi vaʻaia, ma le faʻamalosia o aʻoaʻoga.
faaulufale mai le langchain

# Fausia se fesoʻotaʻiga talanoaga
interface = langchain.ConversationalInterface()

# Fa'amatala se fa'asologa o talanoaga
tafe = langchain.ConversationalFlow(
    intent="fa'afeiloa'i",
    response="Talofa, e mafai faapefea ona ou fesoasoani ia te oe?"
)

# Aoao le faʻataʻitaʻiga
interface.train(flow)
  1. Fa'aoga le DSPy e Iloilo ai Fa'ata'ita'iga Fa'ata'ita'iga: Fa'aaoga le DSPy e iloilo ai le fa'atinoga o fa'ata'ita'iga fa'apipi'iina, fa'aaoga fua fa'atatau e pei o le sa'o, sa'o, ma le manatua.
faaulufale mai dspy

# Fausia se paipa faʻamaumauga
paipa = dspy.Pipeline()

# Faʻaopoopo se faʻamatalaga faʻamatalaga i le paipa
pipeline.add_source(dspy.DataSource("basebase", "my_database"))

# Faʻaopoopo se faʻamaumauga faʻamaumauga i le paipa
pipeline.add_processor(dspy.DataProcessor("value", "my_evaluate"))

# Tamomoe le paipa
pipeline.run()

Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina

O le pito i luga 5-10 pito sili ona faʻaaogaina poloaiga / snippets mo DSPy ma LangChain:

  1. dspy.Pipeline(): Fausia se laina paipa fou.
  2. dspy.DataSource(): Fausia se puna fa'amatalaga fou.
  3. dspy.DataProcessor(): Fausia se fa'agasolo fa'amaumauga fou.
  4. langchain.ConversationalInterface(): Fausia se feso'ota'iga fou.
  5. langchain.ConversationalFlow(): Fa'amatala le fa'agasolo o talanoaga.
  6. langchain.train(): Aoaoina se fa'ata'ita'iga.
  7. dspy.run(): Fa'atino se paipa.
  8. dspy.evaluate(): Iloilo fa'ata'ita'iga fa'atinoga.
  9. langchain.deploy(): Fa'atino se fa'ata'ita'iga.
  10. langchain.integrate(): Tu'ufa'atasia se fa'ata'ita'iga i se feso'ota'iga fa'atalanoaga.

Va'aiga

Ole fa'aaliga lea ole paipa ole AI ole fa'aogaina ole Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["A'oa'oga Fa'amatalaga", "Fa'asologa o Fa'amatalaga", "A'oa'oga Fa'ata'ita'i", "Fa'ata'ita'iga Fa'ata'ita'iga", "Su'esu'ega Fa'ata'ita'iga"],
    "fa'amaumauga": [
      {
        "label": "Agentic AI Pipeline",
        "faamatalaga": [10, 15, 20, 25, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "Agentic AI Pipeline"
    },
    "fua": {
      "yAxes": [
        {
          "scaleLabel": {
            "fa'aaliga": moni,
            "labelString": "Taua"
          }
        }
      ]
    }
  }
}

O lenei faʻaaliga o loʻo faʻaalia ai laʻasaga e lima o le paipa AI sui, faʻatasi ai ma le aofaʻi o galuega e faia i laʻasaga taʻitasi.

Fa'ai'uga

O le tuʻufaʻatasia o AI faʻapitoa i DevOps ma DSPy ma LangChain e iai le gafatia e suia ai le tuʻuina atu o polokalama e ala i le faʻaogaina o pulega ma le faʻaleleia o faʻasalalauga. E ala i le mulimulitaia o taʻiala faʻatinoga o loʻo faʻamatalaina i lenei tusiga, e mafai e 'au ona fausia ma faʻapipiʻi faʻalapotopotoga faʻapitoa AI e faʻaleleia ai le tuʻuina atu o polokalama ma faʻaitiitia tau. O le vaega fa'aaliga o lo'o tu'uina mai ai se fa'amatalaga manino ma le manino o le paipa AI sui, fa'afaigofie ai 'au ona malamalama ma fa'atino lenei tekonolosi.

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