Dala i-Chatbot ye-LangChain | B4N1

Dala i-Chatbot ye-LangChain

3 months ago · b4n1 Read time: 3 min

Ukusebenzisa i-AI-Powered DevOps Automation nge-Kiro AI-Powered Agents kanye ne-LangChain

Isingeniso

I-DevOps landscape ithuthuka ngokushesha, ngokwanda kokwamukelwa kobuhlakani bokwenziwa (AI) kanye nobuchwepheshe bokufunda komshini (ML). Enye yezindawo ezibalulekile lapho i-AI yenza khona umthelela omkhulu iku-DevOps automation. Kulesi sihloko, sizohlola ukuqaliswa kobuchwepheshe kwama-ejenti we-AI ku-automation ye-DevOps, sigxile ekuhlanganisweni kwama-ejenti anikwe amandla we-Kiro AI ne-LangChain ukuze kuthuthukiswe amakhono okuzenzakalela kanye ne-orchestration.

Ayini ama-Kiro AI-Powered Agents?

Ama-ejenti anamandla e-Kiro AI awuhlobo lwe-ejenti yesofthiwe esebenzisa ama-algorithms e-AI ne-ML ukuze enze imisebenzi ngokuzenzakalelayo futhi enze izinqumo. Lawa ma-ejenti aklanyelwe ukufunda kudatha futhi avumelane nezimo ezishintshayo, okuwenza alungele amasistimu ayinkimbinkimbi naguqukayo njengamapayipi e-DevOps.

Iyini i-LangChain?

I-LangChain iwumtapo wezincwadi wePython ohlinzeka ngesethi yamathuluzi nama-API wokwakha izinhlelo zokusebenza zengxoxo ze-AI. Ivumela onjiniyela ukuthi bakhe ama-chatbots, abasizi bezwi, nezinye izixhumanisi zengxoxo besebenzisa ukucubungula kolimi lwemvelo (i-NLP) nama-algorithms okufunda komshini.

Ukuhlanganisa i-Kiro AI-Powered Agents ne-LangChain

Ukuze sihlanganise ama-ejenti anamandla e-Kiro AI ne-LangChain, sidinga ukudala isixhumi esibonakalayo sengxoxo esingaxhumana nama-ejenti futhi sibanikeze okokufaka okudingekayo kanye nemiphumela. Nakhu ukubuka konke kwezinga eliphezulu kwezakhiwo:

  1. Okokufaka komsebenzisi: Umsebenzisi usebenzisana nesixhumi esibonakalayo sengxoxo, anikeze okokufaka ngendlela yombhalo noma yezwi.
  2. I-Natural Language Processing (NLP): Okokufaka kusetshenzwa kusetshenziswa ama-algorithms e-NLP ukuze kukhishwe ulwazi olufanele nenjongo.
  3. Ukukhethwa komenzeli: I-interface yengxoxo ikhetha i-ejenti efanele ye-Kiro AI ngokusekelwe kokokufaka nenjongo yomsebenzisi.
  4. Ukusebenzelana komenzeli: I-ejenti ekhethiwe iqalwa ukwenza izenzo ezidingekayo, njengemisebenzi yokuzenzakalela noma ukwenza izinqumo.
  5. Okukhiphayo: Okuphumayo kwe-ejenti kuyacutshungulwa futhi kubuyiselwa kumsebenzisi ngokusebenzisa isixhumi esibonakalayo sengxoxo.

Ukusetshenziswa Kwezobuchwepheshe

Ukuze sisebenzise lesi sakhiwo, sidinga ukusebenzisa inhlanganisela yezilimi zokuhlela zePython, Rust, neGo. Nali ibhulokhi yekhodi elula ekhombisa ukuhlanganiswa kwama-ejenti anamandla e-Kiro AI ne-LangChain:

ngenisa i-langchain
kusuka ku-Kiro import Agent


chatbot = langchain.Chatbot(
    imodeli="davinci:002",
    izinga lokushisa=0.7,
    max_tokens=2048,
    user_agent="I-Kiro AI-Powered Agent"
)

# Dala i-ejenti enamandla ye-Kiro AI
i-ejenti = i-ejenti (
    igama="Umenzeli Wami",
    description="I-ejenti elula eyenza imisebenzi ngokuzenzakalelayo",
    izenzo=[
        "gijima_myala",
        "thumela_i-imeyili",
        "dala_ithikithi"
    ]
)

# Chaza umsebenzi ozosebenzisana ne-ejenti
def interact_with_ejenti(input_text):
    # Yenza okokufaka usebenzisa i-NLP
    inhloso = langchain.extract_intent(input_text)
    
    # Khetha i-ejenti efanele ngokusekelwe kunhloso
    uma inhloso == "run_command":
        i-agent.run_command()
    elif intent == "send_email":
        i-agent.send_email()
    elif intent == "create_ticket":
        i-ejenti.dala_ithikithi()
    
    # Buyisela okukhiphayo komenzeli
    i-ejenti yokubuyisela.okuphumayo

# Hlola umsebenzi
input_text = "Sebenzisa iskripthi sokwakha"
okukhiphayo = interact_with_ejenti(input_text)
phrinta(okukhiphayo)

Leli bhulokhi lekhodi libonisa indlela yokudala i-chatbot ye-LangChain kanye ne-ejenti enamandla ye-Kiro AI, kanye nendlela yokusebenzisana ne-ejenti usebenzisa isixhumi esibonakalayo sengxoxo.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi eminye yemiyalo namazwibela asetshenziswa kakhulu ama-agent we-Kiro AI-powered kanye ne-LangChain:

  1. langchain.Chatbot(model="davinci:002", temperature=0.7, max_tokens=2048, user_agent="Kiro AI-Powered Agent"): Idala i-chatbot ye-LangChain enemodeli namapharamitha acacisiwe.
  2. Umenzeli(igama="Umenzeli Wami", incazelo="Umenzeli olula owenza imisebenzi ngokuzenzakalelayo", izenzo=["gijima_umyalelo", "thumela_i-imeyili", "dala_ithikithi"]): Idala i-ejenti esebenza nge-Kiro AI enegama elishiwo, incazelo, nezenzo.
  3. langchain.extract_intent(input_text): Icubungula umbhalo wokufakwayo kusetshenziswa i-NLP ukuze kukhishwe inhloso.
  4. i-agent.run_command(): Icupha umenzeli ukuthi asebenzise umyalo.
  5. i-ejenti.send_email(): Icupha umenzeli ukuthi athumele i-imeyili.
  6. i-ejenti.dala_ithikithi(): Icupha umenzeli ukuthi enze ithikithi.
  7. langchain.Chatbot().buza(input_text): Buza i-chatbot umbuzo bese ubuyisela impendulo.
  8. langchain.Chatbot().tshela(input_text): Utshela i-chatbot isitatimende bese ebuyisela impendulo.
  9. langchain.Chatbot().lalela(): Ilalela okokufaka komsebenzisi bese ibuyisela impendulo.
  10. langchain.Chatbot().stop(): Imisa i-chatbot futhi ikhiphe izinsiza.

Ukubona

Nakhu ukubuka ngeso okulula kwezakhiwo usebenzisa i-Chart.js:

{
  "type": "pieChart",
  "idatha": {
    "labels": ["Okokufaka komsebenzisi", "NLP", "Ukukhethwa komenzeli", "Ukusebenzelana komenzeli", "Okukhiphayo"],
    "idathasethi": [
      {
        "label": "Architecture",
        "idatha": [10, 20, 30, 40, 50],
        "Umbala wangemuva": [
          "#FF6384",
          "#36A2EB",
          "#FFCE56",
          "#4BC0C0",
          "#FF99CC"
        ]
      }
    ]
  },
  "izinketho": {
    "isihloko": {
      "Display": iqiniso,
      "text": "I-AI-Powered DevOps Automation Architecture"
    },
    "i-legend": {
      "isibonisi": iqiniso
    }
  }
}

Lokhu kuboniswa kukhombisa izingxenye ezihlukene zezakhiwo, okuhlanganisa okokufaka komsebenzisi, i-NLP, ukukhethwa komenzeli, ukusebenzisana kwe-ejenti, nokuphumayo.

Isiphetho

Kulesi sihloko, sihlole ukuqaliswa kobuchwepheshe kwama-ejenti we-AI ku-automation ye-DevOps, sigxile ekuhlanganisweni kwama-ejenti anamandla e-Kiro AI ne-LangChain ukuze kuthuthukiswe amakhono okuzenzakalela kanye ne-orchestration. Sibonise ibhulokhi yekhodi elula ebonisa ukuhlanganiswa kwama-ejenti anamandla e-Kiro AI ne-LangChain, futhi sanikeza uhlu lwemiyalo evame ukusetshenziswa kakhulu namazwibela ama-ejenti e-Kiro AI-powered kanye ne-LangChain. Siphinde safaka nokubonwa kwezakhiwo kusetshenziswa i-Chart.js. Ngokusebenzisa ama-agent anamandla e-AI kanye nezindawo zokuxoxa, amaqembu e-DevOps angakwazi ukwenza imisebenzi ngokuzenzakalelayo, athuthukise ukusebenza kahle, futhi ehlise amaphutha, enze i-DevOps automation isebenze kahle futhi isebenze kahle.

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