Gabatarwa

Haɗin kai na Artificial Intelligence (AI), DevOps, da injiniyan software ya haifar da sabon salo a cikin haɓaka software da bayarwa. Ana ƙara amfani da kayan aikin AI da tsare-tsare don sarrafa sassa daban-daban na tsarin rayuwar haɓaka software, gami da binciken abin da ya faru da isar da software. A cikin wannan labarin, za mu bincika yin amfani da DSPy da LangChain don tsara ayyukan DevOps masu amfani da AI, tare da mai da hankali kan isar da software ta atomatik da binciken abin da ya faru.

##Baya

DevOps wata hanya ce ta haɓaka software wacce ke jaddada haɗin gwiwa da sadarwa tsakanin ƙungiyoyin haɓakawa da ayyuka don haɓaka saurin, inganci, da amincin isar da software. Ana amfani da kayan aikin AI da tsarin aiki don sarrafa abubuwa daban-daban na DevOps, gami da binciken abin da ya faru da isar da software.

DSPy ɗakin karatu ne na Python wanda ke ba da hanya mai sauƙi da inganci don haɗa kayan aikin AI masu ƙarfi da tsarin aiki tare da bututun DevOps. LangChain ɗakin karatu ne na Python wanda ke ba da hanya mai sauƙi da inganci don haɗa kayan aikin AI da ke da ƙarfi tare da bututun haɓaka software.

Isar da Software ta atomatik tare da DSPy da LangChain

Isar da software ta atomatik wani muhimmin al'amari ne na DevOps wanda ya ƙunshi sarrafa sarrafa gini, gwaji, da tura aikace-aikacen software. Ana iya amfani da DSPy da LangChain don sarrafa isar da software ta hanyar haɗa kayan aikin AI mai ƙarfi da tsarin aiki tare da bututun DevOps.

Ga misalin yadda ake amfani da DSPy da LangChain don sarrafa isar da software: `` Python shigo da dspy daga langchain shigo da LLM

Ƙirƙiri bututun DSPy

bututu = dspy. suna = "samar da software", matakai=[ dspy.Step("gina", "build-software"), dspy.Step("gwaji", "gwajin-software"), dspy.Step("deploy", "deploy-software") ] )

Ƙirƙiri LangChain LLM

LLM = LLM model_name = "code-davinci-002", max_length=1024 )

Ƙayyade aiki don sarrafa isar da software ta atomatik

def automate_software_delivery(): # Sami zanta na yanzu aikata_hash = dspy.get_commit_hash()

# Sami reshe na yanzu
reshe = dspy.get_branch()

# Gina software
build_output = dspy.build_software(commit_hash, reshe)

# Gwada software
test_output = dspy.test_software(build_output)

# Sanya software
deploy_output = dspy.deploy_software(test_output)

# Mayar da fitarwar turawa
dawo deploy_output

Gudanar da aikin atomatik

deployment_output = automate_software_delivery()

Buga fitarwar turawa

buga(fitarwa_sarrafa)

Wannan toshe lambar yana nuna yadda ake amfani da DSPy da LangChain don sarrafa isar da software ta hanyar haɗa kayan aikin AI da tsarin aiki tare da bututun DevOps.

## Binciken Farko tare da DSPy da LangChain

Binciken aukuwa wani muhimmin al'amari ne na DevOps wanda ya ƙunshi nazari da warware abubuwan da suka faru yayin isar da software. Ana iya amfani da DSPy da LangChain don sarrafa binciken abin da ya faru ta hanyar haɗa kayan aikin AI da ke da ƙarfi tare da bututun DevOps.

Ga misalin yadda ake amfani da DSPy da LangChain don sarrafa binciken abin da ya faru:
`` Python
shigo da dspy
daga langchain shigo da LLM

# Ƙirƙiri bututun DSPy
bututu = dspy.
    suna = "binciken al'amari",
    matakai=[
        dspy.Mataki("nazari", "bincike-hatsarin"),
        dspy.Mataki("warware", "warware-hatsari")
    ]
)

# Ƙirƙiri LangChain LLM
LLM = LLM
    model_name = "code-davinci-002",
    max_length=1024
)

# Ƙayyade aiki don sarrafa binciken abin da ya faru
def automate_incident_investigation():
    # Samu abin da ke faruwa a yanzu
    aukuwa = dspy.get_incident()

    # Yi nazarin lamarin
    analysis_output = dspy.analyze_incident(hatsarin)

    # A warware lamarin
    ƙuduri_output = dspy.resolve_incident(nazarin_fitarwa)

    # Mayar da fitowar ƙuduri
    mayar ƙuduri_fitarwa

# Gudanar da aikin atomatik
ƙuduri_output = atomatik_incident_investigation()

# Buga fitowar ƙuduri
buga(fitarwa_shafi)

Wannan toshe lambar yana nuna yadda ake amfani da DSPy da LangChain don sarrafa sarrafa binciken abin da ya faru ta hanyar haɗa kayan aikin AI da tsarin aiki tare da bututun DevOps.

Manyan Dokoki 5-10 da Akafi Amfani da su/Snippets

Anan akwai manyan 5-10 da aka fi amfani da umarni/snippets don DSPy da LangChain:

dspy.Pipeline(): Yana haifar da sabon bututun DSPy.
dspy.Step(): Yana ƙara sabon mataki zuwa bututun DSPy.
langchain.LLM(): Yana haifar da sabon LangChain LLM.
dspy.get_commit_hash(): Yana samun hash na yanzu.
dspy.get_branch(): Yana samun reshe na yanzu.
dspy.build_software(): Yana gina manhajar.
dspy.test_software(): Gwada software.
dspy.deploy_software(): Yana tura software.
dspy.analyze_incident(): Yana nazarin lamarin.
dspy.resolve_incident(): Yana magance lamarin.

Kallon gani

Anan ga hangen nesa na aikin DSPy da LangChain ta amfani da Chart.js: Json { "type": "bar", "data": { "labels": ["Isar da Software ta atomatik", "Binciken Lamarin"], "datasets": [ { "label": "DSPy", "bayanai": [10, 5], "Bayan launi": ["#4CAF50", "#FF9800"] }, { "label": "LangChain", "bayanai": [5, 10], "Bayan launi": ["#2196F3", "#9C27B0"] } ] }, "zaɓi": { "take": { "nuna": gaskiya, "rubutu": "DSPy da LangChain Workflow" }, "tatsuniya": { "nuni": gaskiya } } }

Wannan hangen nesa yana nuna amfani da DSPy da LangChain don isar da software ta atomatik da binciken abin da ya faru.

## Kammalawa

A ƙarshe, DSPy da LangChain suna ba da hanya mai ƙarfi da inganci don haɗa kayan aikin AI mai ƙarfi da tsarin aiki tare da bututun DevOps. Ta amfani da DSPy da LangChain, ƙungiyoyi za su iya sarrafa isar da software da binciken abin da ya faru, inganta saurin, inganci, da amincin isar da software. Katange lambar da hangen nesa da aka bayar a cikin wannan labarin yana nuna amfani da DSPy da LangChain don isar da software ta atomatik da binciken abin da ya faru.

## Aiki na gaba

Aikin gaba ya hada da:

* Haɗa DSPy da LangChain tare da wasu kayan aikin AI da tsarin aiki.
* Haɓaka sabbin abubuwa da ayyuka don DSPy da LangChain.
* Haɓaka aiki da ƙima na DSPy da LangChain.

## Magana

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

Ƙirƙirar DevOps na AI-Powered tare da DSPy da LangChain: Jagorar Fasaha don Isar da Software Mai sarrafa kansa da Binciken Hatsari