I-Decentralizing Architecture nge-Autonomous Agents kanye ne-StackGen: I-Deep Dive ku-Deterministic Networking kanye ne-DevOps Automation | B4N1

I-Decentralizing Architecture nge-Autonomous Agents kanye ne-StackGen: I-Deep Dive ku-Deterministic Networking kanye ne-DevOps Automation

3 months ago · b4n1 Tiempo de lectura: 2 min

Ukwehlukanisa Izakhiwo Zokwakhiwa Kwama-Autonomous Agents kanye ne-StackGen: I-Deep Dive ku-Deterministic Networking kanye ne-DevOps Automation

Isingeniso

Esimeni sanamuhla sobuchwepheshe esisheshayo nesishintsha njalo, isidingo sezinhlelo ezisebenza kahle, ezingakala, nezithembekile asikaze sicindezeleke kakhulu. Njengoba silwela ukwakha amasistimu ayinkimbinkimbi kakhulu futhi axhumene, izakhiwo zendabuko ezimaphakathi azisanele ukuhlangabezana nezidingo zezinhlelo zokusebenza zesimanje. Kulapho kuqala khona ukuhlukaniswa kwezakhiwo nama-ejenti azimele kanye ne-StackGen, ihlinzeka ngendlela eguquguqukayo ekuxhumaneni kwe-deterministic kanye ne-DevOps automation.

Inkinga nge-Centralized Architecture

Isakhiwo somdabu esimaphakathi sincike endaweni eyodwa yokulawula, engaholela ezinkingeni eziningi, okuhlanganisa:

  • Amaphuzu okwehluleka okukodwa: Uma indawo emaphakathi yehluleka, lonke uhlelo luzophahlazeka.
  • Imikhawulo ye-scalability: Njengoba uhlelo lukhula, i-node emaphakathi iba ibhodlela, ikhawulela ukwehla.
  • Izingozi zokuphepha: Izakhiwo ezimaphakathi zenza kube lula kubahlaseli ukukhomba indawo eyodwa yokungena.

Faka ama-agent azimele kanye ne-StackGen

Ama-agent azimele yizinhlangano zesofthiwe ezisebenza ngokuzimela, zenza izinqumo ngokusekelwe endaweni yazo yendawo kanye nemigomo. I-StackGen, ithuluzi elisezingeni eliphezulu, inika amandla ukwakhiwa kwezinhlelo ezihlukaniselwe abantu kusetshenziswa ama-agent azimele. Ngokusebenzisa i-StackGen, singakha amanethiwekhi anqumayo aqinile, angalawuleki, futhi avikelekile.

I-Deterministic Networking

I-Deterministic networking iyipharadaymu eqinisekisa ukuxhumana okubikezelwayo nokuthembekile phakathi kwamanodi kunethiwekhi. Lokhu kufezwa ngokusebenzisa ama-ejenti azimele athatha izinqumo ezisekelwe kusethi yemithetho nezithiyo. Ngokususa ukungaqiniseki okuhlotshaniswa namanethiwekhi omdabu, ukuxhumana kwe-deterministic kunikeza isisekelo esiqinile sezinhlelo ezihlukaniselwe amazwe.

I-DevOps Automation ene-StackGen

I-StackGen iyithuluzi lomthombo ovulekile elivumela ukwakhiwa kwezinhlelo ezihlukaniselwe abantu kusetshenziswa ama-agent azimele. Nge-StackGen, singakwazi ukwenza ngokuzenzakalelayo ukuthunyelwa, ukukala, nokuphathwa kwamasistimu ayinkimbinkimbi, siqinisekise ukuthi izinhlelo zethu zokusebenza zihlala zitholakala futhi zisebenza kahle kakhulu.

I-Orchestration ethuthukisiwe kanye ne-Automation nge-DSPy ne-LangChain

Ukuze sithathe amasistimu ethu ahlukanisiwe siye kwelinye izinga, singasebenzisa i-DSPy ne-LangChain ekuculeni okuthuthukisiwe nokuzenzakalelayo. I-DSPy iwumtapo wezincwadi wePython ohlinzeka ngendlela elula nephumelelayo yokudala nokuphatha amasistimu amisiwe, kuyilapho i-LangChain iwuhlaka oluvumela ukudalwa kwezinhlelo eziyinkimbinkimbi, ezine-AI-powered.

Isibonelo Esisebenzayo: Ukudala Uhlelo Olunwetshiwe nge-StackGen

Ake sakhe isistimu elula yokwahlukaniswa kwabantu sisebenzisa i-StackGen. Sizosebenzisa iPython njengolimi lwethu lokuhlela kanye ne-StackGen njengethuluzi lethu lokuzikhethela.

ngenisa i-stackgen


i-ejenti = stackgen.Agent(
    igama="umenzeli_wami",
    imithetho=[
        stackgen.Rule(
            isimo=lambda: Iqiniso,
            action=lambda: phrinta("Sawubona, mhlaba!")
        )
    ]
)

# Dala uhlelo lwethu lokwehlukaniswa
uhlelo = stackgen.System(
    igama="my_system",
    ama-agent=[i-ejenti]
)

# Qala uhlelo lwethu
system.start()

Kulesi sibonelo, sichaza umenzeli ozimele ophrinta okuthi "Sawubona, mhlaba!" lapho isimo sayo sihlangatshezwana nayo. Sibe sesidala isistimu ehlukaniselwe abantu nge-ejenti eyodwa bese siyiqala.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi imiyalo engu-5-10 esetshenziswa kakhulu namazwibela we-StackGen:

  1. stackgen.Agent(igama="my_ejenti", imithetho=[...]): Idala i-ejenti entsha ezimele.
  2. stackgen.System(igama="my_system", agents=[...]): Idala isistimu entsha ehlukaniselwe amazwe.
  3. i-ejenti.start(): Iqala i-ejenti ezimele.
  4. isistimu.start(): Iqala isistimu ehlukaniselwe amazwe.
  5. i-ejenti.stop(): Imisa i-ejenti ezimele.
  6. isistimu.stop(): Imisa isistimu ehlukaniselwe amazwe.
  7. umenzeli.engeza_umthetho(...): Yengeza umthetho omusha kumenzeli ozimele.
  8. umenzeli.remove_rule(...): Isusa umthetho kumenzeli ozimele.
  9. isistimu.engeza_i-ejenti(...): Yengeza i-ejenti entsha ohlelweni oluhlukaniselwe amazwe.
  10. isistimu.remove_ejenti(...): Ikhipha i-ejenti ohlelweni oluhlukaniselwe amazwe.

Ukubona

Nakhu ukubonwa kwesistimu yethu ehlukaniselwe amazwe kusetshenziswa i-Chart.js:

{
  "type": "pieChart",
  "idatha": {
    "labels": ["Umenzeli 1", "Umenzeli 2", "Umenzeli 3"],
    "idathasethi": [
      {
        "label": "Ama-agent azimele",
        "idatha": [30, 20, 50],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "izinketho": {
    "isihloko": {
      "Display": iqiniso,
      "text": "Ukubonakala Kwesistimu Emisiwe"
    },
    "i-legend": {
      "isibonisi": iqiniso
    }
  }
}

Lokhu kubonwa ngeso lengqondo kubonisa ukusatshalaliswa kwama-agent azimele ohlelweni lwethu olusabalalisiwe.

Isiphetho

Ukwahlukanisa izakhiwo nama-ejenti azimele kanye ne-StackGen inikeza indlela eguquguqukayo ekunqumeni inethiwekhi kanye ne-DevOps automation. Ngokusebenzisa i-StackGen, i-DSPy, ne-LangChain, singakha amasistimu ayinkimbinkimbi, angakala, futhi avikelekile akwazi ukumelana nokwehluleka nokuhlaselwa. Ngekhono lokusebenzisa ngokuzenzakalelayo ukusetshenziswa, ukukala, nokuphatha, izinhlelo zethu zokusebenza zihlala zitholakala futhi zisebenza kahle kakhulu. Njengoba siqhubeka nokuphusha imingcele yamasistimu ahlukaniselwe amazwe, singalindela ukubona izinhlelo zokusebenza ezintsha kakhulu zalobu buchwepheshe esikhathini esizayo.


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