**Ka hoʻonohonoho ʻana i nā Agents AI ma nā DevOps Pipelines no ka Resilience a me ka wehewehe **
Hoʻolauna
I kēia mau makahiki i hala iho nei, ua lilo ʻo Artificial Intelligence (AI) i ʻāpana koʻikoʻi o ka hoʻomohala ʻana i nā polokalamu, e hiki ai i nā mea hoʻomohala ke kūkulu i nā ʻōnaehana naʻauao, ʻoi aku ka maikaʻi, a me ka scalable. Eia nō naʻe, ke hoʻomau nei ka hoʻomohala ʻana o ka polokalamu i alakaʻi ʻia e AI, e piʻi aʻe ka paʻakikī o kēia mau ʻōnaehana, e paʻakikī ana e hōʻoia i ko lākou kūpaʻa a me ka wehewehe. Ke ʻimi nei kēia ʻatikala i ka manaʻo o ka orchestrating AI agents i nā pipelines DevOps no ke kūpaʻa a me ka wehewehe ʻana, e kālele ana i ka hui pū ʻana o DSPy a me LangChain no ka orchestration kiʻekiʻe a me ka wehewehe.
** ʻO ka pono no ke kūpaʻa a me ka wehewehe ʻana i ka hoʻomohala ʻana i nā polokalamu i alakaʻi ʻia e AI**
ʻO ke kūpaʻa a me ka wehewehe ʻana ʻelua mau mea koʻikoʻi o ka hoʻomohala ʻana i nā polokalamu i alakaʻi ʻia e AI. ʻO ke kūpaʻa e pili ana i ka hiki o kahi ʻōnaehana ke kū a hoʻihoʻi mai nā hemahema, aʻo ka wehewehe ʻana e pili ana i ka hiki o kahi ʻōnaehana e hāʻawi i nā ʻike i kāna kaʻina hana hoʻoholo. I loko o ka pōʻaiapili o ka hoʻomohala polokalamu hoʻomohala AI, pono ke kūpaʻa a me ka wehewehe ʻana no ka hōʻoia ʻana i ka hilinaʻi, hilinaʻi, a me ka mālama ʻana o nā ʻōnaehana AI.
Ke kuleana o DSPy a me LangChain ma AI Orchestration
ʻO DSPy a me LangChain nā papa hana kaulana ʻelua no ke kūkulu ʻana a me ka hoʻonohonoho ʻana i nā mea hana AI. ʻO DSPy kahi hoʻolālā Python no ke kūkulu ʻana a me ka hoʻohana ʻana i nā hiʻohiʻona AI, ʻoiai ʻo LangChain kahi hoʻolālā no ke kūkulu ʻana i nā ʻelele AI kamaʻilio. Ma ka hui pū ʻana iā DSPy a me LangChain, hiki i nā mea hoʻomohala ke hana i nā pipelines orchestration AI kiʻekiʻe e hiki ai i ka nānā ʻana i ka manawa maoli, logging, a me ka wehewehe.
**Hoʻohui ʻia ʻo DSPy a me LangChain no ka hoʻonohonoho kiʻekiʻe a me ka wehewehe ʻana **
Hōʻike ka poloka code ma lalo nei pehea e hoʻohui ai i ka DSPy a me LangChain no ka hoʻokūkū kiʻekiʻe a me ka wehewehe.
lawe mai i ka dspy
lawe mai i ka lanchain
pipeline = dspy.Pipeline(
hana=[
dspy.Task("model", "model.py"),
dspy.Task("data", "data.py"),
dspy.Task("evaluation", "evaluation.py")
]
)
# Hoʻokumu i kahi mea hana LangChain
luna = langchain.Agent(
paipu = pipeline,
kaulahao=langchain.Chain(
hana=[
langchain.Task("model", "model.py"),
langchain.Task("data", "data.py"),
langchain.Task("evaluation", "evaluation.py")
]
)
)
# Holo i ka ʻelele
agent.run()
Hoʻokumu kēia poloka code i kahi pipeline DSPy me ʻekolu mau hana: hoʻohālike, ʻikepili, a me ka loiloi. A laila hana ʻo ia i kahi luna LangChain e hoʻohana ana i ka pipeline e hoʻonohonoho i nā hana. Holo ka ʻelele, hiki ke nānā i ka manawa maoli, logging, a me ka wehewehe.
** 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha/nā ʻāpana**
Eia nā 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha / snippets no DSPy a me LangChain:
dspy.Pipeline(tasks=[...]): Hana i kahi paipu DSPy me nā hana i kuhikuhi ʻia.langchain.Agent(pipeline=..., chain=...): Hana i kahi mea hana LangChain e hoʻohana ana i ka pipeline a me ke kaulahao i kuhikuhi ʻia.dspy.Task(inoa, module): Hana i kahi hana DSPy me ka inoa a me ka module.- 'langchain.Task(inoa, module)`: Hana i kahi hana LangChain me ka inoa a me ka module.
pipeline.run(): Holo i ka paipu DSPy.agent.run(): Holo i ka luna LangChain.dspy.log.info(...): Hoʻopaʻa i nā memo ʻike me DSPy.langchain.log.info(...): Hoʻopaʻa i nā memo ʻike me LangChain.dspy.metrics(...): E hōʻiliʻili i nā ana me DSPy.langchain.metrics(...): E hōʻiliʻili i nā ana me ka hoʻohana ʻana i LangChain.
Hōʻikeʻike
Hōʻike ka pakuhi ma lalo nei i ke kahe hana o kahi pipeline DSPy a me LangChain:
{
"type": "pā",
"ʻikepili": {
"labels": ["Model", "Data", "Evaluation"],
"mau ʻikepili": [
{
"label": "DSPy Pipeline",
"backgroundColor": "rgba(255, 99, 132, 0.2)",
"borderColor": "rgba(255, 99, 132, 1)",
"ʻikepili": [10, 20, 30]
},
{
"label": "Agent LangChain",
"backgroundColor": "rgba(54, 162, 235, 0.2)",
"borderColor": "rgba(54, 162, 235, 1)",
"ʻikepili": [15, 25, 35]
}
]
},
"koho": {
"poʻo inoa": {
"hōʻike": ʻoiaʻiʻo,
"text": "DSPy a me LangChain Pipeline Workflow"
},
"nā unahi": {
"yAxes": [
{
"kuʻi": {
"beginAtZero": ʻoiaʻiʻo
}
}
]
}
}
}
Hōʻike kēia pakuhi i ke kaʻina hana o kahi pipeline DSPy a me LangChain, e hōʻike ana i ka helu o nā hana i hana ʻia e kēlā me kēia framework.
Hoʻoholo
I ka hopena, ʻo ka hoʻonohonoho ʻana i nā mea hana AI i nā pipelines DevOps no ke kūpaʻa a me ka wehewehe ʻana he mea koʻikoʻi ia o ka hoʻomohala ʻana i ka polokalamu AI. Ma ka hui pū ʻana iā DSPy a me LangChain, hiki i nā mea hoʻomohala ke hana i nā pipelines orchestration AI kiʻekiʻe e hiki ai i ka nānā ʻana i ka manawa maoli, logging, a me ka wehewehe. ʻO ka poloka code a me ka pakuhi i hāʻawi ʻia ma kēia ʻatikala e hōʻike ana i ka mana o ka hoʻohui ʻana iā DSPy a me LangChain no ka orchestration kiʻekiʻe a me ka wehewehe.