Pangani wothandizira wa LangChain | B4N1

Pangani wothandizira wa LangChain

8 months ago · b4n1 Read time: 5 min

Kulumikiza Ma AI Agents pa Kutumiza Mapulogalamu Okhazikika: Kuphatikiza LangChain ndi DSPy mu Mapaipi a DevOps

Chiyambi

Mawonekedwe a chitukuko cha mapulogalamu akukula mwachangu, ndikuwonjezereka kwa Artificial Intelligence (AI) ndi Machine Learning (ML) m'magawo osiyanasiyana a chitukuko. Chimodzi mwazinthu zodalirika kwambiri zogwiritsira ntchito AI ndikudzipangira makina operekera mapulogalamu, kuphatikizapo telemetry ndi kuphatikiza kosalekeza / kutumiza mosalekeza (CI / CD). M'nkhaniyi, tiwona ntchito ya othandizira a AI popanga makina operekera mapulogalamu ndikuwunika momwe zida zoimbira nyimbo zilili ngati LangChain ndi DSPy.

**Udindo wa Ma AI Agents pa Kutumiza Mapulogalamu **

Othandizira a AI ndi mapulogalamu apulogalamu omwe amatha kugwira ntchito mwawokha, kupanga zisankho kutengera deta ndi malamulo. Pankhani yopereka mapulogalamu, othandizira a AI atha kugwiritsidwa ntchito kupanga njira zosiyanasiyana, monga:

  1. Telemetry: Othandizira a AI akhoza kusonkhanitsa ndi kusanthula deta kuchokera kuzinthu zosiyanasiyana, monga logi za mapulogalamu, ma metrics a machitidwe, ndi ndemanga za ogwiritsa ntchito, kuti apereke zidziwitso za machitidwe ndi machitidwe a pulogalamuyo.
  2. Kuphatikizika Kopitilira: Othandizira a AI amatha kupanga okha, kuyesa, ndi kutumiza ma code kusintha, kuwonetsetsa kuti ntchitoyo nthawi zonse imakhala yotha kutumizidwa.
  3. ** Kutumiza Kopitiriza **: Othandizira a AI amatha kutumizira zosintha pakupanga, kuchepetsa nthawi ndi khama lofunikira kuti apeze zatsopano ndi kukonza kwa ogwiritsa ntchito.
  4. Kuwunika ndi Kuchenjeza: Othandizira a AI amatha kuyang'anira momwe pulogalamuyo ikugwirira ntchito ndikudziwitsa opanga ndi ogwiritsa ntchito zovuta zomwe zingachitike zisanakhale zovuta.

LangChain: Ndondomeko Yomanga Ma AI Agents

LangChain ndi chimango cha Python chomangira othandizira a AI omwe amatha kulumikizana ndi magwero osiyanasiyana a data ndikuchita ntchito mwawokha. LangChain imapereka API yosavuta komanso yodziwikiratu kwa othandizira omanga omwe angathe:

  1. **Kuyanjana ndi magwero a deta **: LangChain imapereka magwero osiyanasiyana a deta, kuphatikizapo zolemba, APIs, ndi machitidwe a mafayilo, omwe othandizira angagwirizane nawo.
  2. ** Chitani ntchito **: LangChain imapereka ntchito zosiyanasiyana zomwe othandizira angathe kuchita, kuphatikizapo kusindikiza malemba, kuzindikira zithunzi, ndi chinenero chachibadwa.
  3. ** Phunzirani kuchokera ku deta **: LangChain imapereka makina ophunzirira makina omwe othandizira angagwiritse ntchito kuphunzira kuchokera ku deta.

**DSPy: Ndondomeko Yomanga Ma Agents AI Ogawa **

DSPy ndi chimango cha Python chomangira othandizira a AI omwe amatha kukula kuti akwaniritse zosowa zamapulogalamu akulu. DSPy imapereka zinthu zingapo, kuphatikiza:

  1. Kugawa makompyuta: DSPy imalola othandizira kuti azigwira ntchito pamakina angapo, ndikupangitsa kuti ikhale yabwino kwa ntchito zazikulu.
  2. Data parallelism: DSPy imalola othandizira kuti azitha kukonza deta mofananira, ndikupangitsa kuti ikhale yabwino kwa mapulogalamu omwe amafunikira makompyuta ochita bwino kwambiri.
  3. Scalability: DSPy imalola othandizira kukulitsa kuti akwaniritse zosowa zamapulogalamu akuluakulu.

Kuphatikiza LangChain ndi DSPy mu DevOps Pipelines

Kuphatikiza LangChain ndi DSPy mu mapaipi a DevOps, titha kugwiritsa ntchito izi:

  1. ** Ikani LangChain ndi DSPy **: Ikani LangChain ndi DSPy pogwiritsa ntchito pip.
pip kukhazikitsa langchain dspy
````
2. **Pangani wothandizira wa LangChain **: Pangani wothandizira wa LangChain yemwe angagwirizane ndi magwero a deta ndikugwira ntchito.
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)
````
3. **Pangani wothandizira wa DSPy**: Pangani wothandizira wa DSPy yemwe amatha kugwiritsa ntchito makina ambiri ndikukonza deta mofanana.
``` python
kuitanitsa dSpy

# Pangani wothandizira wa DSPy
wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)
````
4. **Phatikizani othandizira a LangChain ndi DSPy **: Phatikizani othandizira a LangChain ndi DSPy mu payipi ya DevOps pogwiritsa ntchito chida monga Jenkins kapena GitLab CI/CD.
``` python
import langchain
kuitanitsa dSpy

# Pangani wothandizira wa LangChain
langchain_agent = langchain.Agent(
    dzina = "my_langchain_agent",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)

# Pangani wothandizira wa DSPy
dspy_agent = dspy.Agent (
    dzina="my_dspya_agent",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)

# Phatikizani othandizira mu payipi ya DevOps
bomba = [
    langchain_agent,
    dspy_agent
]
````
**Malamulo/Zidutswa Zapamwamba za 5-10 **

Nawa malamulo/zidutswa 5-10 zomwe zimagwiritsidwa ntchito kwambiri pa LangChain ndi DSPy:

1. **LangChain: Pangani wothandizira wa LangChain**
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)
````
2. **DSPy: Pangani wothandizira wa DSPy**
``` python
kuitanitsa dSpy

wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)
````
3. **LangChain: Gwirizanani ndi gwero la deta **
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)

deta = agent.data_sources[0].get_data()
````
4. **DSPy: Gwirizanani ndi gwero la deta **
``` python
kuitanitsa dSpy

wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)

deta = agent.data_sources[0].get_data()
````
5. **LangChain: Chitani ntchito**
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)

zotsatira = agent.tasks[0].perform_task(deta)
````
6. **DSPy: Chitani ntchito**
``` python
kuitanitsa dSpy

wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)

zotsatira = agent.tasks[0].perform_task(deta)
````
7. **LangChain: Phunzirani kuchokera ku data**
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)

agent.learn_from_data(data)
````
8. **DSPy: Phunzirani kuchokera ku data**
``` python
kuitanitsa dSpy

wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)

agent.learn_from_data(data)
````
9. **LangChain: Gwirizanitsani ndi payipi ya DevOps **
``` python
import langchain

wothandizira = langchain.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[langchain.DataSource("database", "my_database")],
    tasks=[langchain.Task("text_processing", "my_text_processing")]
)

bomba = [
    wothandizira
]
````
10. **DSPy: Gwirizanitsani ndi payipi ya DevOps**
``` python
kuitanitsa dSpy

wothandizira = dspy.Agent (
    dzina = "mtumiki_wanga",
    data_sources=[dspy.DataSource("database", "my_database")],
    tasks=[dspy.Task("text_processing", "my_text_processing")]
)

bomba = [
    wothandizira
]
````
**Kuwona **

Nayi chithunzithunzi cha othandizira a LangChain ndi DSPy mupaipi ya DevOps:
``` chart
{
  "type": "bar",
  "data": {
    "labels": ["LangChain", "DSPy"],
    "ma dataset": [
      {
        "label": "Mtumiki",
        "data": [10, 20],
        "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba(54, 162, 235, 0.2)"],
        "borderColor": ["rgba(255, 99, 132, 1)", "rgba(54, 162, 235, 1)"],
        "BorderWidth": 1
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "LangChain ndi DSPy Agents mu DevOps Pipeline"
    },
    "masikelo": {
      "yAxes": [
        {
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}
````
Kuwoneka uku kukuwonetsa othandizira a LangChain ndi DSPy mupaipi ya DevOps, wothandizira wa LangChain ali ndi ntchito 10 ndipo wothandizira wa DSPy ali ndi ntchito 20.

**Mapeto**

M'nkhaniyi, tidasanthula ntchito ya othandizira a AI popangira makina operekera mapulogalamu ndikuwunika momwe zida zoimbira nyimbo zilili ngati LangChain ndi DSPy. Tinawona momwe LangChain ndi DSPy angagwiritsire ntchito kupanga othandizira AI omwe angagwirizane ndi magwero a deta, kuchita ntchito, ndi kuphunzira kuchokera ku deta. Tidawonanso momwe LangChain ndi DSPy angaphatikizire mapaipi a DevOps pogwiritsa ntchito zida monga Jenkins kapena GitLab CI/CD. Ndi kuwonjezeka kwa AI ndi ML pakupanga mapulogalamu, LangChain ndi DSPy akukhala zida zofunika kwambiri kwa omanga ndi ogwiritsira ntchito omwe akuyang'ana kuti agwiritse ntchito njira zoperekera mapulogalamu.

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