Ifihan

Ikorita ti Artificial Intelligence (AI), DevOps, ati imọ-ẹrọ sọfitiwia ti fun ni igbega si apẹrẹ tuntun ni idagbasoke sọfitiwia ati ifijiṣẹ. Awọn irinṣẹ AI-agbara ati awọn ilana ti wa ni lilo siwaju sii lati ṣe adaṣe ọpọlọpọ awọn aaye ti igbesi aye idagbasoke sọfitiwia, pẹlu iwadii iṣẹlẹ ati ifijiṣẹ sọfitiwia. Ninu àpilẹkọ yii, a yoo ṣawari awọn lilo ti DSPy ati LangChain fun orchestration ti AI-powered DevOps, pẹlu idojukọ lori ifijiṣẹ software laifọwọyi ati iwadii iṣẹlẹ.

Lẹhin

DevOps jẹ ilana idagbasoke sọfitiwia ti o tẹnumọ ifowosowopo ati ibaraẹnisọrọ laarin idagbasoke ati awọn ẹgbẹ iṣẹ lati mu iyara, didara, ati igbẹkẹle ti ifijiṣẹ sọfitiwia pọ si. Awọn irinṣẹ agbara AI ati awọn ilana ti wa ni lilo lati ṣe adaṣe ọpọlọpọ awọn aaye ti DevOps, pẹlu iwadii iṣẹlẹ ati ifijiṣẹ sọfitiwia.

DSPy jẹ ile-ikawe Python ti o pese ọna ti o rọrun ati lilo daradara lati ṣepọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn paipu DevOps. LangChain jẹ ile-ikawe Python ti o pese ọna ti o rọrun ati lilo daradara lati ṣepọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn opo gigun ti idagbasoke sọfitiwia.

Ifijiṣẹ sọfitiwia adaṣe adaṣe pẹlu DSPy ati LangChain

Ifijiṣẹ sọfitiwia adaṣe jẹ abala to ṣe pataki ti DevOps ti o kan adaṣe adaṣe kikọ, idanwo, ati imuṣiṣẹ awọn ohun elo sọfitiwia. DSPy ati LangChain le ṣee lo lati ṣe adaṣe ifijiṣẹ sọfitiwia nipasẹ sisọpọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn pipelines DevOps.

Eyi jẹ apẹẹrẹ ti bii o ṣe le lo DSPy ati LangChain lati ṣe adaṣe sọfitiwia adaṣe: `` Python gbe wọle dspy lati agbewọle LLM langchain

Ṣẹda opo gigun ti epo DSPy

opo = dspy.Pipeline ( orukọ = "software-ifijiṣẹ", igbesẹ=[ dspy.Igbese("kọ", "kọ-software"), dspy.Igbese("idanwo", "software-idanwo"), dspy.Igbese("fi ransiṣẹ", "fi elo-software") ] )

Ṣẹda LangChain LLM kan

llm = LLM model_name = "koodu-davinci-002", max_length=1024 )

Ṣetumo iṣẹ kan lati ṣe adaṣe ifijiṣẹ sọfitiwia

defi automate_software_delivery(): # Gba hash ti lọwọlọwọ ṣẹ_hash = dspy.get_commit_hash()

# Gba ẹka lọwọlọwọ
ẹka = dspy.get_branch ()

# Kọ sọfitiwia naa
build_output = dspy.build_software(commit_hash, ẹka)

# Ṣe idanwo sọfitiwia naa
test_output = dspy.test_software(build_output)

# Mu sọfitiwia naa ṣiṣẹ
deploy_output = dspy.deploy_software(test_output)

# Pada iṣẹjade imuṣiṣẹ pada
pada deploy_output

Ṣiṣe iṣẹ adaṣe

deployment_output = automate_software_delivery()

Tẹjade iṣẹjade imuṣiṣẹ

tite(jade_jade)

Idina koodu yii ṣe afihan bi o ṣe le lo DSPy ati LangChain lati ṣe adaṣe ifijiṣẹ sọfitiwia nipasẹ sisọpọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn pipelines DevOps.

## Iwadi Iṣẹlẹ pẹlu DSPy ati LangChain

Iwadii iṣẹlẹ jẹ abala pataki ti DevOps ti o kan ṣiṣe itupalẹ ati ipinnu awọn iṣẹlẹ ti o waye lakoko ifijiṣẹ sọfitiwia. DSPy ati LangChain le ṣee lo lati ṣe adaṣe iwadii iṣẹlẹ nipasẹ sisọpọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn pipelines DevOps.

Eyi ni apẹẹrẹ ti bii o ṣe le lo DSPy ati LangChain lati ṣe adaṣe adaṣe iṣẹlẹ:
`` Python
gbe wọle dspy
lati agbewọle LLM langchain

# Ṣẹda opo gigun ti epo DSPy
opo = dspy.Pipeline (
    orukọ = "iwadi-iṣẹlẹ",
    igbesẹ=[
        dspy.Igbese("itupalẹ", "itupalẹ-iṣẹlẹ"),
        dspy.Igbese("yanju", "ipinnu-iṣẹlẹ")
    ]
)

# Ṣẹda LangChain LLM kan
llm = LLM
    model_name = "koodu-davinci-002",
    max_length=1024
)

# Ṣetumo iṣẹ kan lati ṣe adaṣe iwadii iṣẹlẹ
def automate_incident_investigation():
    # Gba iṣẹlẹ lọwọlọwọ
    isẹlẹ = dspy.get_incident ()

    # Ṣe itupalẹ iṣẹlẹ naa
    analysis_output = dspy.analyze_incident(iṣẹlẹ)

    # Yanju iṣẹlẹ naa
    resolution_output = dspy.resolve_incident(analysis_output)

    # Pada abajade ipinnu pada
    pada resolution_output

# Ṣiṣe iṣẹ adaṣe
resolution_output = automate_incident_investigation()

# Tẹjade abajade ipinnu
tite(ipinnu_jade)

Idina koodu yii ṣe afihan bi o ṣe le lo DSPy ati LangChain lati ṣe adaṣe iwadii iṣẹlẹ nipasẹ sisọpọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn pipelines DevOps.

Top 5-10 Awọn aṣẹ ti a lo julọ / awọn snippets

Eyi ni oke 5-10 awọn aṣẹ ti a lo julọ/snippets fun DSPy ati LangChain:

dspy.Pipeline (): Ṣẹda titun DSPy opo gigun ti epo.
dspy.Igbese (): Ṣe afikun igbesẹ tuntun kan si opo gigun ti epo DSPy.
langchain.LLM (): Ṣẹda titun kan LangChain LLM.
dspy.get_commit_hash(): Ngba hash lọwọlọwọ.
dspy.get_branch(): Ngba ẹka lọwọlọwọ.
dspy.build_software(): Kọ software.
dspy.test_software(): Ṣe idanwo sọfitiwia naa.
dspy.deploy_software(): Nṣiṣẹ sọfitiwia naa.
dspy.analyze_incident (): Ṣe itupalẹ iṣẹlẹ naa.
dspy.resolve_incident (): Yanju isẹlẹ naa.

Wiwo

Eyi ni iwoye ti DSPy ati ṣiṣan iṣẹ LangChain nipa lilo Chart.js: `` json { "type": "ọgọ", "data": { "labels": ["Ifijiṣẹ Software Aifọwọyi", "Iwadii Iṣẹlẹ"], "awọn ipilẹ data": [ { "label": "DSPy", "data": [10, 5], "backgroundColor": ["#4CAF50", "#FF9800"] }, { "label": "LangChain", "data": [5, 10], "awọ abẹlẹ": ["#2196F3", "#9C27B0"] } ] }, "awọn aṣayan": { "akọle": { "ifihan": otitọ, "ọrọ": "DSPy ati LangChain Workflow" }, "Àlàyé": { "ifihan": otitọ } } }

Iwoye yii ṣe afihan lilo DSPy ati LangChain fun ifijiṣẹ sọfitiwia adaṣe ati iwadii iṣẹlẹ.

## Ipari

Ni ipari, DSPy ati LangChain n pese ọna ti o lagbara ati daradara lati ṣepọ awọn irinṣẹ agbara AI ati awọn ilana pẹlu awọn pipelines DevOps. Nipa lilo DSPy ati LangChain, awọn ajo le ṣe adaṣe ifijiṣẹ sọfitiwia ati iwadii iṣẹlẹ, imudarasi iyara, didara, ati igbẹkẹle ti ifijiṣẹ sọfitiwia. Awọn bulọọki koodu ati iworan ti a pese ninu nkan yii ṣe afihan lilo DSPy ati LangChain fun ifijiṣẹ sọfitiwia adaṣe ati iwadii iṣẹlẹ.

## Iṣẹ iwaju

Iṣẹ iwaju pẹlu:

* Ṣiṣepọ DSPy ati LangChain pẹlu awọn irinṣẹ agbara AI miiran ati awọn ilana.
* Ṣiṣe idagbasoke awọn ẹya tuntun ati iṣẹ ṣiṣe fun DSPy ati LangChain.
* Imudara iṣẹ ati iwọn ti DSPy ati LangChain.

## Awọn itọkasi

* Awọn iwe aṣẹ DSPy: <https://dspy.readthedocs.io/>
* Awọn iwe aṣẹ LangChain: <https://langchain.readthedocs.io/>
* Awọn iwe aṣẹ Chart.js: <https://www.chartjs.org/docs/latest/>

Orchestration ti AI-Agbara DevOps pẹlu DSPy ati LangChain: Itọsọna Imọ-ẹrọ si Ifijiṣẹ sọfitiwia Adaaṣe ati Iwadii iṣẹlẹ