Fausia se LangChain chatbot | B4N1

Fausia se LangChain chatbot

7 months ago · b4n1 Read time: 4 min

** Faʻatinoina AI-Powered DevOps Automation ma Kiro AI-Powered Agents ma LangChain**

Fa'atomuaga

O le laufanua DevOps o loʻo faʻavavevave ona faʻaleleia, faʻatasi ai ma le faʻateleina o le faʻaaogaina o le atamai faʻapitoa (AI) ma masini aʻoaʻoga (ML) tekinolosi. O se tasi o vaega autu o loʻo faia ai e AI se aafiaga taua ile DevOps automation. I totonu o lenei tusiga, o le a matou suʻesuʻeina le faʻatinoga faʻapitoa a AI sui i le DevOps automation, e taulaʻi i le tuʻufaʻatasia o Kiro AI-powered agents ma LangChain mo le faʻaleleia atili o le masini ma le faʻasologa o gaioiga.

O le a le Kiro AI-Powered Agents?

Kiro AI-powered agents o se ituaiga o software agent e faʻaogaina ai AI ma ML algorithms e faʻaogaina ai galuega ma fai filifiliga. O nei sui ua mamanuina e aʻoaʻo mai faʻamaumauga ma faʻafetaui i suiga o siosiomaga, faʻapena lelei mo faiga faʻalavelave ma faʻamalosi e pei o pipelines DevOps.

O le a le LangChain?

LangChain o se faletusi Python o loʻo tuʻuina atu se seti o meafaigaluega ma API mo le fausiaina o talanoaga AI talosaga. E mafai ai e le au atinaʻe ona fatuina ni talatalanoaga, fesoasoani leo, ma isi fesoʻotaʻiga talanoaga e faʻaaoga ai le gagana faʻanatura (NLP) ma masini aʻoaʻoga algorithms.

Fa'atasia Kiro AI-Powered Agents ma LangChain

Ina ia tuʻufaʻatasia le Kiro AI-powered agents ma LangChain, tatou te manaʻomia le fatuina o se fesoʻotaʻiga faʻatalanoaga e mafai ona fegalegaleai ma sui ma tuʻuina atu ia i latou mea e manaʻomia ma gaioiga. O se vaaiga maualuga maualuga lea o le fausaga:

  1. User Input: E fegalegaleai le tagata fa'aoga ma le feso'ota'iga fa'atalanoaga, tu'uina atu fa'amatalaga i le tulaga o tusitusiga po'o le leo.
  2. Natural Language Processing (NLP): O le fa'aogaina o lo'o fa'aogaina e fa'aaoga ai le NLP algorithms e fa'ailoa mai ai fa'amatalaga talafeagai ma fa'amoemoega.
  3. Filifiliga a le Sui Fa'atonu: O le fa'atalanoaga fa'atalanoaga e filifilia ai le sui e fa'atatau i le Kiro AI e fa'atatau i le fa'aogaina ma le fa'amoemoe o le tagata fa'aoga.
  4. Agent Interaction: O le sui ua filifilia e fa'aosoina e fa'atino gaioiga talafeagai, e pei o le fa'autometi galuega po'o le faia o fa'ai'uga.
  5. Galuea: O galuega faatino a le sooupu e fa'agasolo ma toe fa'afo'i atu i le tagata fa'aoga e ala i le fa'afeso'ota'iga.

Fa'atinoga Fa'ainisinia

Ina ia faʻatinoina lenei fausaga, matou te manaʻomia le faʻaogaina o le Python, Rust, ma Go programming language. O se poloka code faigofie lea e faʻaalia ai le tuʻufaʻatasia o Kiro AI-powered agents ma LangChain:

faaulufale mai le langchain
mai kiro import Agent


chatbot = langchain.Chatbot(
    model="davinci:002",
    vevela=0.7,
    max_tokens=2048,
    user_agent="Kiro AI-Powered Agent"
)

# Fausia se sui e faʻamalosia le Kiro AI
sui = sooupu(
    igoa = "O La'u Sui",
    description="O se sooupu faigofie e otometi galuega",
    gaioiga=[
        "run_command",
        "send_imeli",
        "create_ticket"
    ]
)

# Fa'amatala se galuega e fegalegaleai ma le sooupu
def interact_with_agent(input_text):
    # Faʻagasolo le faʻaoga e faʻaaoga ai le NLP
    fa'amoemoe = langchain.extract_intent(input_text)
    
    # Filifili le sui talafeagai e faʻatatau i le faʻamoemoe
    pe afai o le faʻamoemoe == "run_command":
        agent.run_command()
    elif intent == "send_email":
        agent.send_email()
    elif intent == "create_ticket":
        agent.create_ticket()
    
    # Toe fa'afo'i le galuega a le sooupu
    fa'afo'i sui.output

# Suʻe le galuega
input_text = "Tamomoe le fau tusitusiga"
galuega faatino = interact_with_agent(input_text)
lolomi(output)

O lenei poloka code o loʻo faʻaalia ai le auala e fatuina ai le LangChain chatbot ma le Kiro AI-powered agent, ma le auala e fegalegaleai ai ma le sooupu e faʻaaoga ai se fesoʻotaʻiga talanoaga.

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

O nisi nei o tulafono e masani ona faʻaaogaina ma snippets mo Kiro AI-powered agents ma LangChain:

  1. langchain.Chatbot(model = "davinci:002", vevela = 0.7, max_tokens = 2048, user_agent = "Kiro AI-Powered Agent"): Fausia se LangChain chatbot ma le faʻataʻitaʻiga ma faʻamaufaʻailoga.
  2. Agent(igoa = "My Agent", description = "O se sui faigofie e faʻaaogaina galuega", actions = ["run_command", "send_email", "create_ticket"]): Fausia se Kiro AI-powered agent ma le igoa faʻamaonia, faʻamatalaga, ma gaioiga.
  3. langchain.extract_intent(input_text): Fa'agasolo le fa'aoga tusitusiga e fa'aaoga ai le NLP e aveese mai ai le fa'amoemoe.
  4. agent.run_command(): Fa'aoso le sooupu e fa'atino se fa'atonuga.
  5. agent.send_email(): Fa'aoso le sooupu e lafo se imeli.
  6. agent.create_ticket(): Fa'aoso le sooupu e fai se pepa ulufale.
  7. langchain.Chatbot().ask(input_text): Fai i le chatbot se fesili ma toe faafoi mai le tali.
  8. langchain.Chatbot().tell(input_text): Ta'u i le chatbot se fa'amatalaga ma toe fa'afo'i le tali.
  9. langchain.Chatbot().listen(): Fa'alogo mo le fa'aogaina o tagata ma toe fa'afo'i le tali.
  10. langchain.Chatbot().stop(): Taofi le chatbot ma tatala punaoa.

Va'aiga

O se fa'aaliga faigofie lea o le fausaga fa'aaoga Chart.js:

{
  "type": "Siata pai",
  "fa'amatalaga": {
    "labels": ["User Input", "NLP", "Agent Selection", "Agent Interaction", "Autput"],
    "fa'amaumauga": [
      {
        "label": "Faigafale",
        "faamatalaga": [10, 20, 30, 40, 50],
        "Lulu lanu": [
          "#FF6384",
          "#36A2EB",
          "#FFCE56",
          "#4BC0C0",
          "#FF99CC"
        ]
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "AI-Powered DevOps Automation Architecture"
    },
    "talatu'u": {
      "faʻaalia": moni
    }
  }
}

O lenei faʻaaliga o loʻo faʻaalia ai vaega eseese o le fausaga, e aofia ai le faʻaogaina o tagata, NLP, sui filifilia, fefaʻatauaʻiga sui, ma gaioiga.

Fa'ai'uga

I totonu o lenei tusiga, na matou suʻesuʻeina le faʻatinoga faʻapitoa a AI sui i le DevOps automation, e taulaʻi i le tuʻufaʻatasia o Kiro AI-powered agents ma LangChain mo le faʻaleleia atili o le masini ma le faʻasologa o gaioiga. Na matou faʻaalia se poloka faʻailoga faigofie e faʻaalia ai le tuʻufaʻatasia o Kiro AI-powered agents ma LangChain, ma tuʻuina atu se lisi o tulafono sili ona faʻaaogaina ma snippets mo Kiro AI-powered agents ma LangChain. Na matou fa'aofiina fo'i se va'aiga o le fa'ata'ita'iga e fa'aaoga ai le Chart.js. I le faʻaaogaina o sui faʻamalosi AI ma fesoʻotaʻiga talatalanoaga, e mafai e 'au a DevOps ona faʻaogaina galuega, faʻaleleia le lelei, ma faʻaitiitia mea sese, faʻaogaina le masini DevOps sili atu ona lelei ma lelei.

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