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Kubatanidza Agentic AI muDevOps: Kuronga Software Delivery neDSPy uye LangChain

Introduction

Bato reDevOps rakashandura magadzirirwo esoftware, kuiswa, uye kuchengetedzwa. Nekudaro, sezvo kuoma kwesoftware kuchikura, ndizvo zvinoitawo kudiwa kwe otomatiki uye orchestration muDevOps pombi. Agentic AI, nharaunda yehungwaru hwekugadzira iyo inotarisa pane kuzvitonga kuita sarudzo uye kuita, ine mukana wekushandura maitiro eDevOps nekuita otomatiki hutongi nekusimudzira orchestration. Muchikamu chino, tichaongorora kuti maturusi akaita seDSPy neLangChain angashandiswa sei kubatanidza agent AI muDevOps, tichitarisa pamaitiro anoshanda ekuita.

Chii chinonzi Agent AI?

Agentic AI inoreva rudzi rwehungwaru hwekugadzira hunokwanisa kuzvitonga kuita sarudzo nekuita. Kusiyana nemaitiro echinyakare AI masisitimu, ayo akagadzirirwa kuita chaiwo mabasa, ejenti AI masisitimu akagadzirirwa kudzidza, kugadzirisa, uye kuita sarudzo munzvimbo dzakaoma, dzine simba. Agentic AI ine mukana wekushandura maDevOps nekuita otomatiki hutongi uye kusimudzira orchestration, ichibvumira zvikwata kuti zvitarise mabasa epamusoro-soro uye kunatsiridza huwandu hwese software.

Chii chinonzi DSPy?

DSPy iraibhurari yePython yekuvaka uye kutumira mapaipi edata. Inopa nzira yakapfava, inochinjika, uye ine scalable yekubatanidza data kubva kwakasiyana siyana, kuishandura, uye kuichengeta mumhando dzakasiyana siyana. DSPy inonyanya kukodzera kushandiswa mumapaipi eDevOps, apo data inowanzogadzirwa uye inogadziriswa munguva chaiyo.

Chii chinonzi LangChain?

LangChain iraibhurari yePython yekuvaka uye kuendesa hurukuro dzeAI masisitimu. Inopa nzira yakapfava, inochinjika, uye ine scalable yekubatanidza magadzirirwo emutauro wechisikigo (NLP) uye muchina wekudzidza (ML) modhi mumatanho ekutaurirana. LangChain inonyanya kukodzera kushandiswa mumapaipi eDevOps, uko nzvimbo dzekukurukurirana dzinogona kushandiswa kugadzirisa mabasa nekuvandudza ruzivo rwevashandisi.

Kubatanidza Agentic AI muDevOps neDSPy uye LangChain

Kubatanidza agent AI muDevOps neDSPy uye LangChain, tinoda kutevedzera aya matanho:

Kupinzwa Kwedata: Shandisa DSPy kupinza data kubva kwakasiyana siyana, sedatabase, APIs, uye mafaera.
Data Processing: Shandisa DSPy kushandura uye kugadzirisa data yakanyudzwa, uchishandisa nzira dzakadai sekuchenesa data, kusefa, uye kuunganidza.
** Kudzidzira Kwemuenzaniso **: Shandisa LangChain kudzidzisa ML mienzaniso pane data yakagadziriswa, uchishandisa maitiro akadai sekudzidza kwakatariswa, kudzidza kusina kutarisirwa, uye kusimbisa kudzidza.
** Model Deployment **: Shandisa LangChain kuti uise mamodheru akadzidziswa muhurukuro yekukurukurirana, yakadai sechatbot kana mubatsiri wezwi.
Kuongorora Kwemuenzaniso: Shandisa DSPy kuti uongorore kushanda kwemhando dzakashandiswa, uchishandisa zviyero zvakadai sekururama, kunyatsojeka, uye kuyeuka.

Dzidziso Yekuita Strategies

Kushandisa agent AI muDevOps neDSPy uye LangChain, tinogona kutevera aya mazano anoshanda:

**Shandisa DSPy Kushandisa Data Kupinza **: Shandisa DSPy kuti ugadzirise kupinza data kubva kune zvakasiyana-siyana, zvakadai sedatabases, APIs, uye mafaira.

import dspy


pombi = dSpy.Pipeline()

# Wedzera data sosi kune pombi
pipeline.add_source(dspy.DataSource("database", "my_database"))

# Wedzera data processor kune pombi
pipeline.add_processor(dspy.DataProcessor("shandura", "my_transform"))

# Mhanya pombi
pipeline.run()

**Shandisa LangChain Kudzidzisa Mienzaniso yeML **: Shandisa LangChain kudzidzisa ML mienzaniso pane data yakagadziriswa, uchishandisa maitiro akadai sekudzidza kunotarisirwa, kudzidza kusingatarisirwi, uye kusimbisa kudzidza.

import langchain

# Gadzira yekukurukurirana interface
interface = langchain.ConversationalInterface()

# Tsanangura kuyerera kwekukurukurirana
kuyerera = langchain.ConversationalFlow(
    chinangwa = "kwazisa",
    response="Hello, ndingakubatsira sei?"
)

# Rovedza modhi
interface.train(kuyerera)

**Shandisa DSPy Kuti Uongorore Kuita Kwemuenzaniso **: Shandisa DSPy kuti uongorore kushanda kwemhando dzakashandiswa, uchishandisa zviyero zvakadai sekururama, kunyatsojeka, uye kuyeuka.

import dspy

# Gadzira pombi yedata
pombi = dSpy.Pipeline()

# Wedzera data sosi kune pombi
pipeline.add_source(dspy.DataSource("database", "my_database"))

# Wedzera data processor kune pombi
pipeline.add_processor(dspy.DataProcessor("evaluate", "my_evaluate")

# Mhanya pombi
pipeline.run()

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveDSPy uye LangChain:

dspy.Pipeline(): Inogadzira pombi itsva yedata.
dspy.DataSource(): Inogadzira nzvimbo itsva yedata.
dspy.DataProcessor(): Inogadzira data processor itsva.
langchain.ConversationalInterface(): Inogadzira chimiro chitsva chekukurukurirana.
langchain.ConversationalFlow(): Inotsanangura mafambiro ehurukuro.
langchain.train(): Dzidzira muenzaniso.
dspy.run(): Inomhanyisa pombi.
dspy.evaluate(): Inoongorora maitiro emuenzaniso.
langchain.deploy(): Inotumira modhi.
langchain.integrate(): Inobatanidza modhi muchimiro chehurukuro.

Kuona

Heino ratidziro yeagentic AI pombi uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["Data Ingestion", "Data Processing", "Model Training", "Model Deployment", "Model Evaluation"],
    "datasets": [
      {
        "label": "Agentic AI Pipeline",
        "data": [10, 15, 20, 25, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "borderWidth": 1
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "text": "Agentic AI Pipeline"
    },
    "zvikero": {
      "yAxes": [
        {
          "scaleLabel": {
            "kuratidza": chokwadi,
            "labelString": "Kukosha"
          }
        }
      ]
    }
  }
}

Kuona uku kunoratidza matanho mashanu eiyo agent AI pombi, nehuwandu hwemabasa anoitwa padanho rega rega.

Mhedziso

Kubatanidza agent AI muDevOps neDSPy uye LangChain ine mukana wekushandura software kutumirwa nekuita otomatiki kutonga uye kuwedzera orchestration. Nekutevera nzira dzinoshanda dzekuita dzakatsanangurwa muchinyorwa chino, zvikwata zvinogona kuvaka uye kuendesa agentic AI masisitimu anovandudza kuendesa software uye kuderedza mutengo. Chikamu chekutarisa chinopa yakajeka uye yakapfupika pamusoro peiyo agentic AI pombi, zvichiita kuti zvive nyore kuzvikwata kunzwisisa nekushandisa tekinoroji iyi.

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