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+---
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+title: '🛠️ LangSmith'
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+description: 'Integrate with Langsmith to debug and monitor your LLM app'
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+---
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+
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+Embedchain now supports integration with [LangSmith](https://www.langchain.com/langsmith).
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+
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+To use langsmith, you need to do the following steps
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+
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+1. Have an account on langsmith and keep the environment variables in handy
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+2. Set the environments variables in your app so that embedchain has context about it.
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+3. Just use embedchain and everything will be logged to LangSmith, so that you can better test and monitor your application.
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+
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+Lets cover each step in detail.
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+
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+* First make sure that you a LangSmith account created 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.
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+
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+* Once you have the account setup, we will need the following environment variables
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+
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+```bash
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+export LANGCHAIN_TRACING_V2=true
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+export LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
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+export LANGCHAIN_API_KEY=<your-api-key>
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+export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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+```
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+
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+If you are using Python, you can use the following code to set environment variables
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+
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+```python
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+import os
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+
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+os.environ['LANGCHAIN_TRACING_V2'] = 'true'
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+os.environ['LANGCHAIN_ENDPOINT'] = 'https://api.smith.langchain.com'
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+os.environ['LANGCHAIN_API_KEY'] = <your-api-key>
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+os.environ['LANGCHAIN_PROJECT] = <your-project>
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+```
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+
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+* Now create an app using embedchain and everything will be automatically visible in the LangSmith
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+
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+
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+```python
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+from embedchain import App
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+
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+app = App()
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+app.add("https://en.wikipedia.org/wiki/Elon_Musk")
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+app.query("How many companies did Elon found?")
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+```
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+
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+* Now the entire log for this will be visible in langsmith.
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+
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+<img src="/images/langsmith.png"/>
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