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my-project-public — gitlawb

#1	---
#2	title: '🛠️ LangSmith'
#3	description: 'Integrate with Langsmith to debug and monitor your LLM app'
#4	---
#5
#6	Embedchain now supports integration with [LangSmith](https://www.langchain.com/langsmith).
#7
#8	To use LangSmith, you need to do the following steps.
#9
#10	1. Have an account on LangSmith and keep the environment variables in handy
#11	2. Set the environment variables in your app so that embedchain has context about it.
#12	3. Just use embedchain and everything will be logged to LangSmith, so that you can better test and monitor your application.
#13
#14	Let's cover each step in detail.
#15
#16
#17	* First make sure that you have created a LangSmith account and have all the necessary variables handy. LangSmith has a [good documentation](https://docs.smith.langchain.com/) on how to get started with their service.
#18
#19	* Once you have setup the account, we will need the following environment variables
#20
#21	```bash
#22	# Setting environment variable for LangChain Tracing V2 integration.
#23	export LANGCHAIN_TRACING_V2=true
#24
#25	# Setting the API endpoint for LangChain.
#26	export LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
#27
#28	# Replace '<your-api-key>' with your LangChain API key.
#29	export LANGCHAIN_API_KEY=<your-api-key>
#30
#31	# Replace '<your-project>' with your LangChain project name, or it defaults to "default".
#32	export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
#33	```
#34
#35	If you are using Python, you can use the following code to set environment variables
#36
#37	```python
#38	import os
#39
#40	# Setting environment variable for LangChain Tracing V2 integration.
#41	os.environ['LANGCHAIN_TRACING_V2'] = 'true'
#42
#43	# Setting the API endpoint for LangChain.
#44	os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'
#45
#46	# Replace '<your-api-key>' with your LangChain API key.
#47	os.environ['LANGCHAIN_API_KEY'] = '<your-api-key>'
#48
#49	# Replace '<your-project>' with your LangChain project name.
#50	os.environ['LANGCHAIN_PROJECT'] = '<your-project>'
#51	```
#52
#53	* Now create an app using Embedchain and everything will be automatically visible in the LangSmith
#54
#55
#56	```python
#57	from embedchain import App
#58
#59	# Initialize EmbedChain application.
#60	app = App()
#61
#62	# Add data to your app
#63	app.add("https://en.wikipedia.org/wiki/Elon_Musk")
#64
#65	# Query your app
#66	app.query("How many companies did Elon found?")
#67	```
#68
#69	* Now the entire log for this will be visible in langsmith.
#70
#71	<img src="/images/langsmith.png"/>
#72

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