Nhanganyaya
Iyo mharadzano yeArtificial Intelligence (AI), DevOps, uye software engineering yakapa kune imwe paradigm mukuvandudza software uye kuendesa. Maturusi eAI-powered uye masisitimu ari kuwedzera kushandiswa kuita otomatiki akasiyana siyana ehupenyu hwekuvandudza software, kusanganisira kuongororwa kwechiitiko uye kuunza software. Muchikamu chino, tichaongorora mashandisirwo eDSPy neLangChain pakurongeka kweAI-powered DevOps, tichitarisa pane otomatiki kuburitsa software uye kuongorora chiitiko.
Background
DevOps inzira yekuvandudza software inosimbisa kubatana uye kutaurirana pakati pebudiriro nezvikwata zvekushanda kuvandudza kukurumidza, mhando, uye kuvimbika kwekuunza software. Maturusi eAI-powered uye masisitimu ari kushandiswa kuita otomatiki akasiyana siyana eDevOps, kusanganisira kuongororwa kwechiitiko uye kuendesa software.
DSPy iraibhurari yePython inopa iri nyore uye inoshanda nzira yekubatanidza AI-powered maturusi nemafuremu nemapaipi eDevOps. LangChain iraibhurari yePython inopa nzira iri nyore uye inoshanda yekubatanidza maturusi eAI-powered uye masisitimu ane mapaipi ekuvandudza software.
Automated Software Delivery neDSPy uye LangChain
Otomatiki software kuendesa chinhu chakakosha cheDevOps chinosanganisira otomatiki kuvaka, kuyedza, uye kutumira kwesoftware maapplication. DSPy neLangChain inogona kushandiswa kugadzira otomatiki software nekubatanidza AI-powered maturusi nemafuremu nemapaipi eDevOps.
Heino muenzaniso wekushandisa DSPy neLangChain kuita otomatiki software kutumira:
import dspy
kubva ku langchain import LLM
# Gadzira pombi yeDSPy
pombi = dspy.Pipeline(
zita = "software-delivery",
nhanho=[
dspy.Step("vaka", "kuvaka-software"),
dspy.Step("test", "test-software"),
dspy.Step("deploy", "deploy-software")
]
)
# Gadzira LangChain LLM
llm = LLM(
model_name="code-davinci-002",
max_length=1024
)
# Tsanangura basa rekuita otomatiki software kuburitsa
def otomatiki_software_delivery():
# Tora yazvino kuzvipira hashi
commit_hash = dspy.get_commit_hash()
# Tora bazi razvino
bazi = dspy.get_branch()
# Gadzira software
build_output = dspy.build_software(commit_hash, bazi)
# Edza iyo software
test_output = dspy.test_software(build_output)
# Shandisa software
deploy_output = dspy.deploy_software(test_output)
# Dzosa iyo yekutumira inobuda
return deploy_output
# Mhanya iyo otomatiki basa
deployment_output = automate_software_delivery()
# Dhinda iyo yekutumira inobuda
dhinda(deployment_output)
Iyi kodhi yekodhi inoratidza mashandisiro eDSPy neLangChain kuita otomatiki kuendesa software nekubatanidza AI-powered maturusi nemafuremu nemapaipi eDevOps.
Chiitiko Kuongorora neDSPy uye LangChain
Kuongorora kwechiitiko chinhu chakakosha cheDevOps chinosanganisira kuongorora nekugadzirisa zviitiko zvinoitika panguva yekuendesa software. DSPy neLangChain inogona kushandiswa kuita otomatiki kuferefeta chiitiko nekubatanidza maturusi eAI-powered uye masisitimu nemapaipi eDevOps.
Heino muenzaniso wekushandisa DSPy neLangChain kuita otomatiki kuongororwa kwechiitiko:
import dspy
kubva ku langchain import LLM
# Gadzira pombi yeDSPy
pombi = dspy.Pipeline(
zita = "chiitiko-kuongorora",
nhanho=[
dspy.Step("kuongorora", "kuongorora-chiitiko"),
dspy.Step("gadzirisa", "gadzirisa-chiitiko")
]
)
# Gadzira LangChain LLM
llm = LLM(
model_name="code-davinci-002",
max_length=1024
)
# Tsanangura basa rekuita otomatiki kuongorora chiitiko
def automate_incident_investigation():
# Tora chiitiko chazvino
chiitiko = dspy.get_incident()
# Ongorora chiitiko
analysis_output = dspy.analyze_incident(chiitiko)
# Gadzirisa chiitiko
resolution_output = dspy.resolve_incident(analysis_output)
# Dzosera sarudzo yakabuda
return resolution_output
# Mhanya iyo otomatiki basa
resolution_output = automate_incident_investigation()
# Dhinda sarudzo inobuda
dhinda(resolution_output)
Iyi code block inoratidza mashandisiro eDSPy neLangChain kuita otomatiki kuferefeta chiitiko nekubatanidza maturusi eAI-powered uye masisitimu nemapaipi eDevOps.
Yepamusoro 5-10 Yakanyanya Kushandiswa Mirairo / Zvimedu
Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveDSPy uye LangChain:
dspy.Pipeline(): Inogadzira pombi itsva yeDSPy.dspy.Step(): Inowedzera nhanho itsva kune DSPy pombi.langchain.LLM(): Inogadzira LangChain LLM itsva.dspy.get_commit_hash(): Inowana hashi yekuzvipira yazvino.dspy.get_branch(): Inowana bazi razvino.dspy.build_software(): Inovaka software.dspy.test_software(): Inoedza software.dspy.deploy_software(): Inotumira software.dspy.analyze_incident(): Inoongorora chiitiko.dspy.resolve_incident(): Inogadzirisa chiitiko.
Kuona
Heino ratidziro yeDSPy neLangChain kufambiswa kwebasa uchishandisa Chart.js:
{
"type": "bha",
"data": {
"labels": ["Automated Software Delivery", "Incident Investigation"],
"datasets": [
{
"label": "DSPy",
"data": [10, 5],
"backgroundColor": ["#4CAF50", "#FF9800"]
},
{
"label": "LangChain",
"data": [5, 10],
"backgroundColor": ["#2196F3", "#9C27B0"]
}
]
},
"sarudzo": {
"zita": {
"kuratidza": chokwadi,
"zvinyorwa": "DSPy uye LangChain Workflow"
},
"legend": {
"kuratidza": chokwadi
}
}
}
Ichi chitarisiko chinoratidza kushandiswa kweDSPy neLangChain kune otomatiki software kuendesa uye kuongororwa kwechiitiko.
Mhedziso
Mukupedzisa, DSPy neLangChain inopa nzira ine simba uye inoshanda yekubatanidza maturusi eAI-powered uye masisitimu ane DevOps mapaipi. Nekushandisa DSPy neLangChain, masangano anogona kuita otomatiki kuburitsa software uye kuongororwa kwezviitiko, kuvandudza kukurumidza, kunaka, uye kuvimbika kwekuunza software. Iyo kodhi inovharira uye yekuona yakapihwa muchinyorwa chino inoratidza kushandiswa kweDSPy neLangChain kune otomatiki software kuendesa uye kuongorora chiitiko.
Basa Ramangwana
Basa remangwana rinosanganisira:
- Kubatanidza DSPy uye LangChain nemamwe maAI-powered maturusi nemafuremu.
- Kugadzira zvinhu zvitsva uye kushanda kweDSPy uye LangChain.
- Kuvandudza mashandiro uye scalability yeDSPy uye LangChain.
References
- DSPy zvinyorwa: https://dspy.readthedocs.io/
- LangChain zvinyorwa: https://langchain.readthedocs.io/
- Chart.js zvinyorwa: https://www.chartjs.org/docs/latest/