Dala i-ejenti yangokwezifiso usebenzisa i-LangChain

Ukusebenzisa Ukuthuthukiswa Kwekhwalithi Ye-ejenti nge-LangChain ne-DSPy ye-AI-Powered DevOps Automation

Isingeniso

Ukukhula kwenkimbinkimbi yezinhlelo zesoftware yesimanje kuholele esidingweni esikhulayo sokuzenzakalela kwe-DevOps okusebenzayo nokusebenzayo. Amasistimu asekelwe kumenzeli avele njengendlela ethembisayo yokufeza lo mgomo, ukusebenzisa ubuhlakani bokwenziwa (AI) nokufunda komshini (ML) ukuze kuthuthukiswe ukusebenza kwesistimu nokuthuthukisa ikhwalithi. Kulesi sihloko, sizohlola ukuqaliswa kobuchwepheshe kokuthuthukiswa kwekhwalithi ye-ejenti ku-AgentCore, ukusebenzisa i-LangChain ne-DSPy ye-AI-powered DevOps automation.

I-AgentCore: Isisekelo se-AI-Powered DevOps Automation

I-AgentCore iwuhlaka lomthombo ovulekile lokwakha amasistimu we-AI-powered DevOps automation. Ihlinzeka ngesakhiwo semodular esivumela abathuthukisi ukuthi bakhe ama-ejenti angokwezifiso emisebenzi ehlukahlukene, njengokuqapha, ukuthunyelwa, nokuhlola. Izici ezibalulekile ze-AgentCore zifaka:

I-Modular Architecture: I-Architecture ye-AgentCore yakhelwe ukuba ibe nemodulayo kakhulu, evumela onjiniyela ukuthi bakhe ama-ejenti angokwezifiso futhi bawahlanganise ngaphandle komthungo nohlaka oluyinhloko.
I-AI-Powered Decision Making: I-AgentCore iphakamisa i-AI ne-ML algorithms ukuze yenze izinqumo ezinolwazi mayelana nokusebenza kwesistimu nekhwalithi.
Ukuqapha Kwesikhathi Sangempela: I-AgentCore inikeza amandla okuqapha ngesikhathi sangempela, ivumela onjiniyela ukuthi balandelele ukusebenza kwesistimu futhi bahlonze izinkinga ezingaba khona ngaphambi kokuba zibe izinkinga ezinkulu.

I-LangChain: Uhlaka Lokwakha Ama-ejenti e-AI ezingxoxo

I-LangChain iwuhlaka lwePython lokwakha ama-ejenti ezingxoxo we-AI. Ihlinzeka ngezinhlobonhlobo zamathuluzi namalabhulali okudala abenzeli bangokwezifiso abangahlanganyela ezingxoxweni zolimi lwemvelo nabasebenzisi. Izici ezibalulekile zeLangChain zifaka:

I-AI Yengxoxo: I-LangChain inika amandla onjiniyela ukuthi bakhe ama-agent e-AI engxoxo angokwezifiso angahlanganyela ezingxoxweni zolimi lwemvelo nabasebenzisi.
I-Modular Architecture: I-architecture ye-LangChain yakhelwe ukuba ibe nemodulayo kakhulu, ivumela abathuthukisi ukuthi bakhe ama-ejenti angokwezifiso futhi bawahlanganise ngaphandle komthungo nohlaka oluyinhloko.
Ukuhlanganiswa ne-DSPy: I-LangChain ihlinzeka ngokuhlanganisa okungenazihibe ne-DSPy, ivumela onjiniyela ukuthi basebenzise amakhono e-DSPy's AI kanye ne-ML kuma-ejenti abo e-AI ezingxoxo.

I-DSPy: Uhlaka Lokwakha Amamodeli e-AI ne-ML

I-DSPy iwuhlaka lwePython lokwakha amamodeli e-AI ne-ML. Ihlinzeka ngezinhlobonhlobo zamathuluzi nemitapo yolwazi yokudala amamodeli wangokwezifiso angasetshenziswa ezinhlelweni ezihlukahlukene, okuhlanganisa i-DevOps automation. Izici ezibalulekile ze-DSPy zifaka:

I-AI ne-ML Modeling: I-DSPy inika amandla onjiniyela ukuthi bakhe amamodeli angokwezifiso e-AI ne-ML angasetshenziswa ezinhlelweni ezihlukahlukene, okuhlanganisa i-DevOps automation.
Ukuhlanganiswa ne-LangChain: I-DSPy ihlinzeka ngokuhlanganisa okungenazihibe ne-LangChain, ivumela onjiniyela ukuthi basebenzise amakhono engxoxo ye-LangChain ye-AI kumamodeli wabo we-AI ne-ML.
I-Real-Time Predictive Analytics: I-DSPy inikeza amakhono ezibalo eziqagela ngesikhathi sangempela, ivumela onjiniyela benze izinqumo ezinolwazi mayelana nokusebenza kwesistimu nekhwalithi.

Ukusebenzisa Ukuthuthukiswa Kwekhwalithi Ye-ejenti nge-LangChain ne-DSPy

Ukuze usebenzise ukulungiselelwa kwekhwalithi yomenzeli nge-LangChain ne-DSPy, sidinga ukulandela lezi zinyathelo:

Dala Umenzeli Ongokwezifiso: Dala i-ejenti yangokwezifiso usebenzisa i-LangChain engahlanganyela ezingxoxweni zolimi lwemvelo nabasebenzisi.
Hlanganisa i-DSPy: Hlanganisa i-DSPy ne-ejenti yangokwezifiso ukuze uthuthukise amakhono e-DSPy's AI kanye ne-ML.
Qeqesha Imodeli: Qeqesha imodeli ye-AI ne-ML usebenzisa i-DSPy ukuze uthuthukise ikhwalithi yomenzeli.
Sebenzisa Umenzeli: Sebenzisa i-ejenti yangokwezifiso nemodeli eqeqeshiwe ukuze kuthuthukiswe ikhwalithi yomenzeli.

Nali ibhulokhi yekhodi elula ekhombisa ukuthi ungakha kanjani i-ejenti yangokwezifiso usebenzisa i-LangChain futhi uhlanganise i-DSPy:

ngenisa i-langchain
kusuka ku-langchain ngenisa i-LLMChain
kusuka ku-langchain.chains ngenisa ConversationalChain
kusuka ku-langchain.embeddings ngenisa Ukushumeka
kusuka ku-langchain.llms ngenisa i-LLM


i-ejenti = LLMChain(
    llm=LLM(
        imodeli="text-davinci-003",
        izinga lokushisa=0.7,
        max_tokens=100,
        min_tokens=10,
    ),
    input_format="umbhalo",
    okuphumayo_ifomethi="umbhalo",
)

# Hlanganisa i-DSPy
dsp = DSPy(
    imodeli="dspb",
    izinga lokushisa=0.7,
    max_tokens=100,
    min_tokens=10,
)

# Qeqesha imodeli usebenzisa i-DSPy
i-dsp.train(
    umenzeli,
    idatha=[
        {"input": "Lithini izinga lokushisa lamanje?", "output": "Izinga lokushisa lamanje lingu-25°C."},
        {"input": "Kuyini ukuswakama kwamanje?", "output": "Umswakama wamanje ngu-60%."},
    ],
)

# Thumela i-ejenti ngemodeli eqeqeshiwe
i-agent.deploy(dsp)

Umthelela Ekuthuthukisweni Kwesofthiwe Nezakhiwo

Ukusebenzisa ukulungiselelwa kwekhwalithi ye-ejenti nge-LangChain ne-DSPy kunemithelela eminingana ekuthuthukisweni kwesofthiwe nezakhiwo:

Ukusebenza Kwesistimu Okuthuthukisiwe: Ukuthuthukiswa kwekhwalithi yomenzeli kunika amandla onjiniyela ukuthi bakhe abenzeli bangokwezifiso abangathuthukisa ukusebenza kwesistimu futhi bathuthukise ikhwalithi.
Isipiliyoni somsebenzisi esithuthukisiwe: Ama-ejenti ezingxoxo e-AI anganikeza abasebenzisi umuzwa owenziwe waba ngewakho kakhulu futhi ohehayo.
Ukusebenza Kahle Okuthuthukisiwe: Ukuthuthukiswa kwekhwalithi yomenzeli kunika amandla onjiniyela ukuthi bazenzele ngokuzenzakalelayo imisebenzi ephindaphindwayo futhi bagxile emisebenzini eyinkimbinkimbi nehlakaniphile.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi imiyalo/ amazwibela asetshenziswa kakhulu angu-5-10 e-LangChain ne-DSPy:

langchain.LLMChain(): Idala i-ejenti yangokwezifiso isebenzisa i-LangChain.
langchain.Embeddings(): Idala into yokushumeka ukuze isetshenziswe kumenzeli wangokwezifiso.
langchain.LLM(): Idala into eyimodeli yolimi ezosetshenziswa kumenzeli wangokwezifiso.
dsp.DSPy(): Idala into ye-DSPy ukuze isetshenziswe kumenzeli wangokwezifiso.
dsp.train(): Iqeqesha imodeli ye-AI ne-ML isebenzisa i-DSPy.
dsp.deploy(): Isebenzisa i-ejenti yangokwezifiso nemodeli eqeqeshiwe.
langchain.ConversationalChain(): Idala i-ejenti ye-AI yengxoxo isebenzisa i-LangChain.
langchain.chains.ConversationalChain(): Idala i-ejenti yengxoxo ye-AI isebenzisa i-LangChain.
langchain.embeddings.Embeddings(): Idala into yokushumeka ukuze isetshenziswe kumenzeli wangokwezifiso.
langchain.llms.LLM(): Idala into eyimodeli yolimi ezosetshenziswa kumenzeli wangokwezifiso.

Ukubona

Nakhu ukubuka ngeso okulula usebenzisa i-Chart.js ebonisa umthelela wokwenziwa kwekhwalithi ye-ejenti ekusebenzeni kwesistimu:

{
    "type": "bar",
    "idatha": {
        "labels": ["Ngaphambi Kokuthuthukisa", "Ngemva Kokuthuthukisa"],
        "idathasethi": [
            {
                "label": "Ukusebenza Kwesistimu",
                "idatha": [80, 95],
                "backgroundColor": "rgba(255, 99, 132, 0.2)",
                "borderColor": "rgba(255, 99, 132, 1)",
                "BorderWidth": 1
            }
        ]
    },
    "izinketho": {
        "isihloko": {
            "Display": iqiniso,
            "text": "Ukusebenza Kwesistimu Ngaphambi Nangemuva Kokuthuthukisa"
        },
        "izikali": {
            "yAxes": [
                {
                    "imikhaza": {
                        "beginAtZero": kuyiqiniso
                    }
                }
            ]
        }
    }
}

Lokhu kuboniswa kubonisa umthelela wokuthuthukiswa kwekhwalithi yomenzeli ekusebenzeni kwesistimu, okubonisa ukuthuthuka okuphawulekayo ekusebenzeni kwesistimu ngemva kokuthuthukiswa.

Isiphetho

Ukusebenzisa ukulungiselelwa kwekhwalithi ye-ejenti nge-LangChain ne-DSPy kunezinzuzo ezimbalwa, okuhlanganisa ukusebenza kwesistimu okuthuthukisiwe, ulwazi oluthuthukisiwe lomsebenzisi, kanye nokusebenza kahle okwandisiwe. Ngokusebenzisa amandla e-LangChain ne-DSPy, abathuthukisi bangakha ama-ejenti angokwezifiso angathuthukisa ukusebenza kwesistimu futhi athuthukise ikhwalithi. Ukuvinjwa kwekhodi nokuboniswa okuhlinzekiwe kubonisa ukuqaliswa kwezobuchwepheshe kokwenziwa kwekhwalithi ye-ejenti kanye nomthelela wayo ekuthuthukisweni kwesofthiwe nezakhiwo.

Dala i-ejenti yangokwezifiso usebenzisa i-LangChain

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