# 02. LangSmith

## Menyiapkan LangSmith trace

LangSmith adalah platform untuk pengembangan, pemantauan, dan pengujian aplikasi LLM. Jika Anda memulai proyek atau pelatihan LangChain, sangat disarankan untuk mengatur LangSmith terlebih dahulu sebelum melanjutkan.

## Tracing pada LangSmith

Tracing merupakan alat yang kuat untuk memahami cara kerja aplikasi LLM. LangSmith menyediakan fitur pelacakan terbaik di kelasnya, terlepas dari apakah Anda menggunakan LangChain atau tidak.

Pelacakan dapat membantu dalam masalah berikut:

Hasil akhir yang tidak terduga Alasan mengapa agen mengalami looping Alasan mengapa rantai lebih lambat dari yang diharapkan Jumlah token yang digunakan oleh agen di setiap langkah

## Tracing tingkat project

Lihat jumlah pengerjaan, tingkat kesalahan, penggunaan token, informasi penagihan, dan lainnya berdasarkan per project.

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2FWKw47hRe8G0ENcdLxbXc%2Fimage.png?alt=media&#x26;token=508021d6-67b3-4726-9018-60fdc6b26590" alt=""><figcaption></figcaption></figure>

Apabila Anda mengeklik suatu project, semua proses yang sudah dijalankan akan muncul.

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2F56bmjuTa9vlwXbQoBRug%2Fimage.png?alt=media&#x26;token=867e7fde-1cd1-47a7-af97-aca931b30098" alt=""><figcaption></figcaption></figure>

Penelusuran langkah demi langkah terperinci untuk satu kali jalankan

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2FfA5NyUxUuCmAoZEDI54b%2Fimage.png?alt=media&#x26;token=18018890-a6bf-494c-a81e-ba71f948834e" alt=""><figcaption></figcaption></figure>

Setelah satu kali dijalankan, ia mencatat secara rinci tidak hanya hasil pencarian dari dokumen yang diambil, tetapi juga input dan output dari GPT. Ini membantu Anda untuk menentukan apakah Anda perlu mengubah algoritme pencarian atau prompt setelah melihat apa yang diambil.

Selain itu, bagian atas menunjukkan berapa lama setiap proses berlangsung (sekitar 30 detik), jumlah token yang digunakan (5.104), dan bahkan jumlah yang dibebankan jika Anda mengarahkan kursor ke sebuah token.

## Menggunakan LangSmith Tracing

Menggunakan pelacakan sangat sederhana.

## Mendapatkan API Key LangSmith

1. Kunjungi [https://smith.langchain.com/](https://smith.langchain.com/) untuk mendaftar.
2. Setelah mendaftar, Anda perlu memverifikasi email Anda.
3. Klik roda gigi kiri (Pengaturan) - kemudian pilih "Personal" - Lalu klik "Create API Key" untuk mendapatkan API Key.

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2Fb4sdxhzrtf9RXKac1hDY%2Fimage.png?alt=media&#x26;token=15832e4d-36f5-4992-9410-fd626bb08e27" alt=""><figcaption></figcaption></figure>

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2FiNlFmQdI8xxgJGQ8z29s%2Fimage.png?alt=media&#x26;token=6e60e158-23fb-41ac-bf8d-f490d9dcc23a" alt=""><figcaption></figcaption></figure>

Pada bagian "Description", masukkan deskripsi yang masuk akal bagi Anda dan klik tombol Buat Kunci API untuk membuatnya.

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2Fu2df07zp5uHdN2qK8g4Z%2Fimage.png?alt=media&#x26;token=e6e92990-0343-45f6-9462-02f0f96ad31d" alt=""><figcaption></figcaption></figure>

Salin kunci yang dihasilkan dan lanjutkan ke langkah berikutnya.

**(PERHATIAN!)** Salin kunci yang dibuat di suatu tempat yang aman agar tidak bocor

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2FCKGzJY7j3llUSKzleKft%2Fimage.png?alt=media&#x26;token=72d56999-0167-4ada-8dd7-d60f81bcc449" alt=""><figcaption></figcaption></figure>

## Mengatur kunci LangSmith di .env

Pertama, masukkan kunci yang dikeluarkan oleh LangSmith dan informasi project Anda dalam file .env.

* LANGCHAIN\_TRACING\_V2: Atur ke "true" untuk memulai pelacakan.
* LANGCHAIN\_ENDPOINT: [https://api.smith.langchain.com](https://api.smith.langchain.com/) Jangan diubah.
* LANGCHAIN\_API\_KEY: Masukkan kunci yang sudah didapatkan pada langkah sebelumnya.
* LANGCHAIN\_PROJECT: Jika Anda memasukkan nama project, semua run akan dilacak ke grup project tersebut.

<figure><img src="https://3432011104-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMUIRwwCkXCd5fR0xUSJp%2Fuploads%2FqMqvM8tSrSsold23qjWe%2Fimage.png?alt=media&#x26;token=9f141001-7d57-4c25-9f17-f58de550067a" alt=""><figcaption></figcaption></figure>

## Mengaktifkan tracing di Jupyter Notebook atau Kode

Mengaktifkan pelacakan sangat sederhana. Anda hanya perlu mengatur variabel lingkungan.

Impor apa yang Anda tetapkan di file .env.

```python
# !pip install python-dotenv

from dotenv import load_dotenv

load_dotenv()
```

Jika tracing yang Anda siapkan telah diaktifkan, dan API KEY serta nama proyek telah diatur dengan benar, maka hal ini sudah cukup.

Namun, jika Anda ingin mengubah nama project atau mengubah tracing, Anda dapat melakukannya dengan kode di bawah ini.

```python
import os

os.environ["LANGCHAIN_TRACING_V2"] = "true"
os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
os.environ["LANGCHAIN_PROJECT"] = "Nama Project LangChain"
os.environ["LANGCHAIN_API_KEY"] = "Masukkan LangChain API KEY"
```

## Langchain-altero

Package langchain-altero dibuat untuk membuat fitur-fitur yang berhubungan dengan langchain menjadi lebih mudah digunakan. Package ini dibuat berdasarkan package langchain-teddynote

## Bagaimana cara menginstall

Install kode (jalankan dari terminal atau Jupyter Notebook)

```python
pip install langchain-altero
```

```
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odel, wget
  Building wheel for kiwipiepy-model (setup.py) ... odel: filename=kiwipiepy_model-0.18.0-py3-none-any.whl size=34843380 sha256=2ba126df45756b51f39a06ebb1ec767ee573d04ac2e620c3bea0f42519ace041
  Stored in directory: /root/.cache/pip/wheels/0d/ea/f6/abb93f89cc196467624828ec9c29150c29a8399a589ba50bef
  Building wheel for wget (setup.py) ... e=wget-3.2-py3-none-any.whl size=9656 sha256=763e485d3ce3f4a507033f254bfedd946fcee2a1ef4221ae955323dab4474ef5
  Stored in directory: /root/.cache/pip/wheels/8b/f1/7f/5c94f0a7a505ca1c81cd1d9208ae2064675d97582078e6c769
Successfully built kiwipiepy-model wget
Installing collected packages: wget, mmh3, kiwipiepy-model, types-requests, tenacity, rank-bm25, python-dotenv, protobuf, pinecone-plugin-interface, pdf2image, orjson, olefile, lz4, kiwipiepy, jsonpointer, JPype1, pinecone-text, pinecone-plugin-inference, konlpy, jsonpatch, protoc-gen-openapiv2, pinecone-client, langsmith, langchain-core, langchain-text-splitters, langchain, langchain-altero
  Attempting uninstall: tenacity
    Found existing installation: tenacity 9.0.0
    Uninstalling tenacity-9.0.0:
      Successfully uninstalled tenacity-9.0.0
  Attempting uninstall: protobuf
    Found existing installation: protobuf 3.20.3
    Uninstalling protobuf-3.20.3:
      Successfully uninstalled protobuf-3.20.3
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < "3.11", but you have protobuf 4.25.4 which is incompatible.
Successfully installed JPype1-1.5.0 jsonpatch-1.33 jsonpointer-3.0.0 kiwipiepy-0.18.0 kiwipiepy-model-0.18.0 konlpy-0.6.0 langchain-0.2.14 langchain-altero-0.0.2 langchain-core-0.2.32 langchain-text-splitters-0.2.2 langsmith-0.1.99 lz4-4.3.3 mmh3-4.1.0 olefile-0.47 orjson-3.10.7 pdf2image-1.17.0 pinecone-client-5.0.1 pinecone-plugin-inference-1.0.3 pinecone-plugin-interface-0.0.7 pinecone-text-0.9.0 protobuf-4.25.4 protoc-gen-openapiv2-0.0.1 python-dotenv-1.0.1 rank-bm25-0.2.2 tenacity-8.5.0 types-requests-2.32.0.20240712 wget-3.2
```

## Menyiapkan LangSmith Tracing

Kunci API LangSmith harus diatur dalam file .env (LANGCHAIN\_API\_KEY)

```python
from langchain_altero import logging

# Masukkan nama project.
logging.langsmith("nama project yang diinginkan")
```

Contoh output

Jika Anda tidak ingin menggunakan tracing, Anda dapat menonaktifkannya sebagai berikut:

```python
from langchain_altero import logging

# set_enable=False untuk menonaktifkan logging.
logging.langsmith("Langchain Tutorial Project", set_enable=False)
```
