Tsim Kho Tus Kheej Software Systems nrog Multi-Agent AI Architectures thiab LangChain

Introduction

Nyob rau niaj hnub no txoj kev txhim kho software ceev ceev, kev tsim kho tus kheej software systems tau dhau los ua qhov tseem ceeb rau kev ua kom muaj kev ntseeg siab, scalability, thiab resilience ntawm complex software systems. Ib txwm monolithic architectures tsis txaus los ua kom tau raws li qhov xav tau ntawm kev txhim kho software niaj hnub no, qhov twg cov tshuab yuav tsum tuaj yeem hloov kho cov kev xav tau, daws qhov tsis tau xav txog, thiab rov qab los ntawm qhov yuam kev sai. Qhov no yog qhov uas ntau tus neeg sawv cev AI architectures thiab LangChain tuaj rau hauv kev ua si, muab cov kev daws teeb meem zoo rau kev tsim kho tus kheej software uas tuaj yeem kawm, hloov kho, thiab teb rau cov kev hloov pauv.

** Multi-Agent AI Architectures yog dab tsi?**

Ntau tus neeg sawv cev AI architectures yog ib hom kev faib tawm AI uas muaj ntau tus neeg sawv cev tswj hwm uas cuam tshuam nrog ib leeg thiab lawv ib puag ncig kom ua tiav lub hom phiaj. Txhua tus neeg sawv cev muaj nws txoj kev txiav txim siab, kev paub, thiab cov peev txheej, thiab lawv tuaj yeem sib txuas lus nrog ib leeg los qhia cov ntaub ntawv, sib koom tes ua, thiab hloov kho rau cov kev hloov pauv.

Hauv cov ntsiab lus ntawm software systems, ntau tus neeg sawv cev AI architectures tuaj yeem siv los tsim kho tus kheej uas tuaj yeem kuaj xyuas thiab teb rau qhov tsis raug, kev ua tsis tiav, thiab lwm yam tsis zoo hauv lub sijhawm. Los ntawm kev faib cov txheej txheem txiav txim siab thoob plaws ntau tus neeg sawv cev, cov tshuab no tuaj yeem kawm los ntawm kev paub dhau los, hloov mus rau kev hloov pauv, thiab rov qab los ntawm qhov yuam kev sai.

LangChain yog dab tsi?

LangChain yog lub tsev qiv ntawv Python qhib rau kev tsim ntau tus neeg sawv cev AI systems. Nws muab ib qho yooj yim, hloov tau, thiab scalable lub moj khaum rau lub tsev complex AI systems uas muaj peev xwm kawm, hloov, thiab teb rau cov kev hloov pauv. LangChain yog tsim los ua haujlwm nrog ntau yam ntawm AI lub luag haujlwm, suav nrog TensorFlow, PyTorch, thiab Keras, thiab tuaj yeem siv los tsim cov tshuab uas sib txuas nrog ntau yam ntaub ntawv, suav nrog cov ntaub ntawv, APIs, thiab IoT cov khoom siv.

Tsim Kho Tus Kheej Software Systems nrog LangChain

Txhawm rau tsim kom muaj kev kho tus kheej software nrog LangChain, peb yuav tsum tsim kom muaj ntau tus neeg sawv cev AI architecture uas tuaj yeem ntes thiab teb rau qhov tsis raug, tsis ua haujlwm, thiab lwm yam tsis zoo hauv lub sijhawm. Ntawm no yog ib tug high-theem txheej txheem cej luam ntawm lub architecture:

1. Agent Design: Peb yuav tsum tsim cov txheej txheem tswj hwm tus neeg sawv cev uas tuaj yeem cuam tshuam nrog ib leeg thiab ib puag ncig kom ua tiav lub hom phiaj sib koom. Txhua tus neeg sawv cev yuav tsum muaj nws lub peev xwm txiav txim siab, kev paub, thiab cov peev txheej.
2. Knowledge Graph: Peb yuav tsum tsim ib daim duab qhia kev paub uas sawv cev rau kev sib raug zoo ntawm cov neeg sawv cev, ib puag ncig, thiab cov hom phiaj ntawm lub system. Daim duab no tuaj yeem siv los xav txog lub xeev ntawm lub system thiab txiav txim siab.
3. Kev Txiav Txim Siab: Peb yuav tsum siv txoj kev txiav txim siab uas tso cai rau cov neeg sawv cev los xav txog lub xeev ntawm cov txheej txheem thiab txiav txim siab raws li daim duab kev paub.
4. Action Execution: Peb yuav tsum ua raws li cov txheej txheem ua kom tiav uas tso cai rau cov neeg ua haujlwm ua lawv cov kev txiav txim siab thiab cuam tshuam nrog ib puag ncig.

Nov yog qhov piv txwv yooj yim ntawm kev kho tus kheej software tsim nrog LangChain: `` python import langchain los ntawm langchain.agents import Agent los ntawm langchain.llms import LLM

graph = { 'Agent': ['agent1', 'Agent2', 'Agent3'], 'environment': ['database', 'API', 'IoT device'], 'cov hom phiaj': ['nrhiav qhov yuam kev', ' teb rau kev ua tsis tiav', 'rov qab los ntawm qhov yuam kev'] }

Txhais cov txheej txheem txiav txim siab

def decision_making(tus neeg saib xyuas, knowledge_graph): # Yog vim li cas txog lub xeev ntawm lub system state = knowledge_graph['agents'][agent] # Txiav txim siab raws li lub xeev kev txiav txim = ' teb rau kev ua tsis tiav' rov txiav txim siab

Txhais cov txheej txheem ua tiav

def action_execution(tus neeg saib xyuas, kev txiav txim): # Ua qhov kev txiav txim siab yog kev txiav txim siab == ' teb rau kev ua tsis tiav': # Teb rau qhov ua tsis tiav print('Tau teb rau qhov tsis ua hauj lwm...') rov qab los

Tsim tus neeg sawv cev LangChain

agent = Agent( npe = 'self-healing-agent', decision_making=kev txiav txim, action_execution = kev ua haujlwm_execution, paub_graph = graph )

Tsim LangChain LLM

llm = LWM( name='self-healing-llm', model = 'davinci' )

Tsim LangChain system

system = langchain.System( agent=tus, llm = lm )

Khiav qhov system

system.run()

Qhov piv txwv no qhia txog kev kho tus kheej yooj yim software uas tuaj yeem tshawb xyuas qhov yuam kev, teb rau qhov ua tsis tiav, thiab rov qab los ntawm qhov yuam kev sai. Lub kaw lus muaj cov txheej txheem tswj hwm tus neeg sawv cev uas cuam tshuam nrog ib leeg thiab lawv ib puag ncig kom ua tiav lub hom phiaj sib xws. Cov neeg sawv cev siv daim duab qhia kev paub los xav txog lub xeev ntawm lub system thiab txiav txim siab raws li daim duab.

** Sab saum toj 5-10 Feem Ntau Siv Cov Lus Qhia/Snippet **

Ntawm no yog cov saum toj kawg nkaus 5-10 feem ntau siv commands / snippets rau LangChain:

1. `langchain.Agent()`: Tsim ib tus neeg sawv cev LangChain tshiab.
2. `langchain.LLM()`: Tsim LangChain LLM tshiab.
3. `langchain.System()`: Tsim ib qho tshiab LangChain system.
4. `agent.decision_making()`: khiav txoj kev txiav txim siab rau tus neeg sawv cev.
5. `agent.action_execution()`: Khiav cov txheej txheem ua tiav rau tus neeg sawv cev.
6. `llm.predict()`: Ua qhov twv ua ntej siv LLM.
7. `system.run()`: Khiav lub LangChain system.
8. `graph.add_node()`: Ntxiv ib qho tshiab rau daim duab paub.
9. `graph.add_edge()`: Ntxiv ib ntug tshiab rau daim duab paub.
10. `graph.remove_node()`: Tshem tawm ib qho ntawm daim duab paub.

**Visualization**

Nov yog qhov yooj yim pom ntawm daim duab paub siv Chart.js:
``json
{
  "type": "graph",
  "data": {
    "nodes": [
      {"id": "agent1", "label": "Agent 1"},
      {"id": "agent2", "label": "Agent 2"},
      {"id": "agent3", "label": "Agent 3"},
      {"id": "database", "label": "Database"},
      {"id": "API", "label": "API"},
      {"id": "IoT device", "label": "IoT Device"}
    ],
    "edges": [
      {"source": "agent1", "target": "database"},
      {"source": "agent2", "target": "API"},
      {"source": "agent3", "target": "IoT device"},
      {"source": "agent1", "target": "agent2"},
      {"source": "agent2", "target": "agent3"}
    ]
  },
  "options": {
    "layout": {
      "type": "circular"
    },
    "nodes": {
      "Size": 50
    },
    "edges": {
      "dav": 2
    }
  }
}

Qhov kev pom no qhia txog kev sib raug zoo ntawm cov neeg sawv cev, ib puag ncig, thiab cov hom phiaj ntawm qhov system.

Qhov xaus

Tsim kho tus kheej cov software nruab nrog ntau tus neeg sawv cev AI architectures thiab LangChain muaj cov kev daws teeb meem zoo rau kev ua kom muaj kev ntseeg siab, ua kom muaj peev xwm, thiab rov ua haujlwm ntawm cov software nyuaj. Los ntawm kev faib cov txheej txheem txiav txim siab thoob plaws ntau tus neeg sawv cev, cov tshuab no tuaj yeem kawm los ntawm kev paub dhau los, hloov mus rau kev hloov pauv, thiab rov qab los ntawm qhov yuam kev sai. Nrog LangChain, cov neeg tsim khoom tuaj yeem tsim cov txheej txheem AI nyuaj uas sib koom ua ke nrog ntau qhov chaw ntawm cov ntaub ntawv, suav nrog databases, APIs, thiab IoT cov khoom siv. Los ntawm kev ua raws li cov piv txwv code thiab siv cov saum toj kawg nkaus 5-10 feem ntau siv commands / snippets, developers muaj peev xwm tsim lawv tus kheej-kho software systems nrog LangChain.