E hana i kahi paipu DSPy | B4N1

E hana i kahi paipu DSPy

5 months ago · b4n1 Read time: 4 min

**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 i ka hoʻohui ʻana iā DSPy a me LangChain no ka hoʻokani ʻana a me ka wehewehe ʻana.

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")
    ]
)

# E hana i kahi ʻoihana 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 ka 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha/snippets no DSPy a me LangChain:

  1. dspy.Pipeline(tasks=[...]): Hana i kahi paipu DSPy me nā hana i kuhikuhi ʻia.
  2. langchain.Agent(pipeline=..., chain=...): Hana i kahi mea hana LangChain e hoʻohana ana i ka pipeline a me ke kaulahao i kuhikuhi ʻia.
  3. dspy.Task(inoa, module): Hana i kahi hana DSPy me ka inoa a me ka module.
  4. 'langchain.Task(inoa, module)`: Hana i kahi hana LangChain me ka inoa a me ka module.
  5. pipeline.run(): Holo i ka paipu DSPy.
  6. agent.run(): Holo i ka luna LangChain.
  7. dspy.log.info(...): Hoʻopaʻa i nā memo ʻike me DSPy.
  8. langchain.log.info(...): Hoʻopaʻa i nā memo ʻike me LangChain.
  9. dspy.metrics(...): E hōʻiliʻili i nā ana me DSPy.
  10. 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

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-driven. Ma ka hoʻohui 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.


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