Kuronga AI-Powered Software Development neLangChain uye StackGen | B4N1

Kuronga AI-Powered Software Development neLangChain uye StackGen

3 months ago · b4n1 Read time: 4 min

Nhanganyaya

Iyo software yekuvandudza mamiriro ari kukurumidza kubuda, iine AI uye otomatiki ichitamba inowedzera yakakurumbira mabasa muDevOps maitiro. Maviri akakosha matekinoroji ari kutyaira shanduko iyi LangChain uye StackGen. LangChain ndeye yakavhurika-sosi sisitimu yekuvaka AI-powered vamiririri, nepo StackGen chiri chishandiso chekugadzirisa zvivakwa zvekugadzirisa. Muchinyorwa chino, tichaongorora kuti matekinoroji maviri aya angashandiswa sei pamwechete kugadzira pombi inofambiswa neAI-inotyairwa yeDevOps, inosimudzira simba reGPT-5.5 yehungwaru kodhi ongororo uye zano.

Dambudziko reDevOps otomatiki

DevOps otomatiki ibasa rakaoma rinoda kubatanidza akawanda maturusi uye matekinoroji kukwenenzvera kusimudzira software, kuyedzwa, uye kutumira. Nzira dzechinyakare dzinowanzotsamira pamagadzirirwo emaoko, ayo anogona kukonzera kukanganisa, kunonoka, uye kusashanda. Kusimuka kweAI uye otomatiki kunopa mhinduro inovimbisa, asi inoda kunzwisisa kwakadzama kweiyo pasi tekinoroji uye kubatanidzwa kwavo.

LangChain: Agent Orchestration yeAI-Powered DevOps

LangChain inzvimbo yakazaruka yekuvaka AI-powered agents vanogona kuita mabasa akasiyana-siyana, kubva pakugadzirisa data kusvika kuongororo yekodhi. Yayo mumiriri orchestration masimba anogonesa vanogadzira kugadzira yakaoma workflows inobatanidza akawanda maAI modhi uye maturusi. LangChain's architecture yakagadzirirwa kuve yakanyanya modular uye inowedzera, zvichiita kuti ive sarudzo yakanaka yekuvaka tsika DevOps otomatiki mapaipi.

LangChain Architecture

Iyo LangChain architecture ine zvikamu zvitatu zvikuru:

  1. ** Agents **: Izvi ndizvo zvikamu zvakakosha zveLangChain framework, inotarisirwa kuita mamwe mabasa akadai sekugadzirisa data, kuongorora kwekodhi, uye kuedza.
  2. Workflows: Aya ndiwo anotevedzana emabasa anoitwa nevamiririri kuti vazadzise chinangwa chaicho, sekuvaka uye kutumira software application.
  3. Orchestrator: Ichi ndicho chikamu chinodzora mafambiro ebasa, kuve nechokwadi chekuti mabasa anoitwa nenzira kwayo uye kuti chero kukanganisa kunoitwa nenzira kwayo.

Muenzaniso Code: Kugadzira LangChain Agent

Heino muenzaniso wakapfava wekugadzira LangChain mumiriri anoita ongororo yekodhi uchishandisa GPT-5.5:

import langchain
kubva ku langchain.chains import gpt5_5

# Gadzira GPT-5.5 mumiriri
mumiririri = gpt5_5.GPT5_5Agent()

# Tsanangura kodhi yekuongorora mafambiro
workflow = langchain.Workflow(
    zita = "code_review",
    mabasa=[
        {
            "type": "text",
            "input": "Ndokumbira uongorore kodhi inotevera",
            "output": "code_review"
        },
        {
            "type": "text",
            "input": "code_review",
            "output": "reviewed_code"
        }
    ]
)

# Gadzira LangChain mumiriri anoita iyo kodhi yekuongorora mafambiro
mumiririri = langchain.Agent(workflow=workflow, agent=agent)

# Mhanya iyo kodhi yekuongorora mafambiro
mhedzisiro = agent.run(input="Ndokumbira uongorore kodhi inotevera")
dhinda(result.output)

Iyi kodhi inogadzira mumiriri weLangChain anoita ongororo yekodhi achishandisa GPT-5.5. Mumiririri anotsanangurwa sekufamba kwebasa kunosanganisira mabasa maviri: rimwe rinokurudzira mushandisi kuti ape kodhi yekuongorora, uye imwe inoongorora kodhi uchishandisa GPT-5.5.

StackGen: Infrastructure Configuration yeDevOps otomatiki

StackGen chishandiso chekugadzirisa zvivakwa zvigadziriso, zvichiita kuti ive sarudzo yakanaka yeDevOps otomatiki mapaipi. Mavakirwo ayo akagadzirirwa kuve akanyanya modular uye anowedzera, achibvumira vanogadzira kugadzira echinyakare zvigadziriso zvigadziriso zvekushandisa kwavo.

StackGen Architecture

Iyo StackGen dhizaini ine zvikamu zvitatu zvikuru:

  1. Vapi: Izvi ndizvo zvikamu zvinotarisira zviwanikwa zvezvivakwa, seAWS kana GCP.
  2. Magadzirirwo: Aya ndiwo tsananguro dzezviwanikwa zvezvivakwa, senge muchina chaiwo kana dhatabhesi.
  3. ** Orchestrator **: Ichi ndicho chikamu chinogadzirisa zvigadziro, kuve nechokwadi chokuti zviwanikwa zvekugadzirisa zvinogadzirwa uye zvakagadziridzwa nemazvo.

Muenzaniso Kodhi: Kugadzira StackGen Configuration

Heino muenzaniso wakapusa wekugadzira iyo StackGen kumisikidzwa yemuchina chaiwo:

shandisa stackgen ::config;

// Tsanangura chimiro chemuchina chaiwo
rega vm_config = config::VMConfig {
    zita: "my_vm".to_string(),
    mupi: "aws".to_string(),
    dunhu: "us-west-2".to_string(),
    example_type: "t2.micro".to_string(),
    image_id: "ami-abc123".to_string(),
};

// Gadzira iyo StackGen kumisikidzwa
rega config = config:: Config {
    zita: "my_config".to_string(),
    mupi: "aws".to_string(),
    dunhu: "us-west-2".to_string(),
    zviwanikwa: vec![vm_config],
};

// Sevha iyo gadziriso kune faira
config.save("my_config.yaml");

Iyi kodhi inogadzira iyo StackGen kumisikidzwa yemuchina chaiwo uchishandisa stackgen crate. Iyo gadziriso inotsanangurwa se VMConfig struct, iyo inosanganisira zvivakwa zvakaita sezita, mupi, dunhu, muenzaniso mhando, uye mufananidzo ID.

Kubatanidza LangChain uye StackGen yeAI-Inotyairwa DevOps otomatiki

Kugadzira pombi inofambiswa neAI-inotungamirwa neDevOps, tinoda kubatanidza LangChain uye StackGen. Izvi zvinosanganisira kugadzira mafambiro anoshandisa LangChain vamiririri kuita mabasa akadai sekuongororwa kwekodhi uye kuyedzwa, uye StackGen kubata zviwanikwa zvezvivakwa.

Muenzaniso Code: Kubatanidza LangChain uye StackGen

Heino muenzaniso wakapfava wekubatanidza LangChain neStackGen kugadzira pombi inofambiswa neAI inofambiswa neDevOps:

import langchain
kubva ku langchain.chains import gpt5_5
import stackgen

# Gadzira GPT-5.5 mumiriri
mumiririri = gpt5_5.GPT5_5Agent()

# Tsanangura kodhi yekuongorora mafambiro
workflow = langchain.Workflow(
    zita = "code_review",
    mabasa=[
        {
            "type": "text",
            "input": "Ndokumbira uongorore kodhi inotevera",
            "output": "code_review"
        },
        {
            "type": "text",
            "input": "code_review",
            "output": "reviewed_code"
        }
    ]
)

# Gadzira LangChain mumiriri anoita iyo kodhi yekuongorora mafambiro
mumiririri = langchain.Agent(workflow=workflow, agent=agent)

# Tsanangura iyo StackGen kumisikidzwa
vm_config = stackgen.config.VMConfig {
    zita: "my_vm".to_string(),
    mupi: "aws".to_string(),
    dunhu: "us-west-2".to_string(),
    example_type: "t2.micro".to_string(),
    image_id: "ami-abc123".to_string(),
}

# Gadzira iyo StackGen kumisikidzwa
config = stackgen.config.Config {
    zita: "my_config".to_string(),
    mupi: "aws".to_string(),
    dunhu: "us-west-2".to_string(),
    zviwanikwa: vec![vm_config],
}

# Sevha iyo yekumisikidza kune faira
config.save("my_config.yaml");

# Mhanya iyo kodhi yekuongorora mafambiro
mhedzisiro = agent.run(input="Ndokumbira uongorore kodhi inotevera")
dhinda(result.output)

# Shandisa iyo StackGen kumisikidzwa kugadzira zviwanikwa zvezvivakwa
stackgen.create_resources(config)

Iyi kodhi inosanganisa LangChain neStackGen kugadzira pombi inofambiswa neAI-inotyairwa neDevOps. Iyo pombi inoshandisa mumiriri weLangChain kuita ongororo yekodhi uchishandisa GPT-5.5, uye StackGen gadziriro yekugadzirisa zviwanikwa zvezvivakwa.

Yepamusoro 5-10 Yakanyanya Kushandiswa Mirairo / Zvimedu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveLangChain uye StackGen:

  1. langchain.Agent(workflow=workflow, agent=agent): Inogadzira mumiririri weLangChain anoita mafambiro ebasa achishandisa imwe agent.
  2. stackgen.config.VMConfig(...): Inotsanangura magadzirirwo emuchina chaiwo uchishandisa StackGen.
  3. langchain.Workflow(...): Inotsanangura mafambiro ebasa uchishandisa LangChain.
  4. stackgen.create_resources(config): Inogadzira zviwanikwa zvekushandisa uchishandisa StackGen configuration.
  5. langchain.Agent.run(input="..."): Inomhanyisa mumiririri weLangChain neinopinza chaiyo.
  6. stackgen.config.save("..."): Inochengetedza gadziriro yeStackGen kufaira.
  7. langchain.Workflow.tasks(...): Inotsanangura mabasa muLangChain workflow.
  8. stackgen.config.resources(...): Inotsanangura zviwanikwa muStackGen gadziriro.
  9. langchain.Agent.agent(...): Inowana mumiririri akabatana neLangChain agent.
  10. stackgen.config.provider(...): Inoita kuti mupi abatanidzwe neStackGen configuration.

Kuona

Heino ratidziro yeLangChain uye StackGen architecture uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["LangChain", "StackGen"],
    "datasets": [
      {
        "label": "Zvikamu",
        "data": [3, 3],
        "backgroundColor": ["#4CAF50", "#FF9800"]
      },
      {
        "label": "Mabasa",
        "data": [5, 5],
        "backgroundColor": ["#2196F3", "#9C27B0"]
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "zvinyorwa": "LangChain uye StackGen Architecture"
    },
    "legend": {
      "kuratidza": chokwadi
    }
  }
}

Iyi yekuona inoratidza huwandu hwezvikamu uye mabasa muLangChain uye StackGen architecture.

Mhedziso

Muchikamu chino, takaongorora kuti LangChain neStackGen zvingashandiswa sei pamwechete kugadzira pombi inofambiswa neAI-inotyairwa neDevOps. Isu takaona kuti LangChain's agent orchestration masimba anogona kushandiswa kuita mabasa akadai sekuongorora kodhi uye kuyedzwa, uye mashandisirwo eStackGen's infrastructure configuration kugona anogona kushandiswa kubata zviwanikwa zvezvivakwa. Isu takaona zvakare maitiro maviri aya matekinoroji anogona kubatanidzwa kugadzira isina musono DevOps otomatiki pombi.

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