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minor langsmith notebook fixes (#7814)

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Ankush Gola 2023-07-16 21:27:03 -07:00 committed by GitHub
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16
docs/extras/guides/langsmith/walkthrough.ipynb
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@ -47,13 +47,23 @@
"## Log runs to LangSmith\n",
"\n",
"First, configure your environment variables to tell LangChain to log traces. This is done by setting the `LANGCHAIN_TRACING_V2` environment variable to true.\n",
"You can tell LangChain which project to log to by setting the `LANGCHAIN_PROJECT` environment variable (if this isn't set, runs will be logged to the `default` project). This will automatically create the project for you if it doesn't exiust. You must also set the `LANGCHAIN_ENDPOINT` and `LANGCHAIN_API_KEY` environment variables.\n",
"You can tell LangChain which project to log to by setting the `LANGCHAIN_PROJECT` environment variable (if this isn't set, runs will be logged to the `default` project). This will automatically create the project for you if it doesn't exist. You must also set the `LANGCHAIN_ENDPOINT` and `LANGCHAIN_API_KEY` environment variables.\n",
"\n",
"For more information on other ways to set up tracing, please reference the [LangSmith documentation](https://docs.smith.langchain.com/docs/)\n",
"\n",
"**NOTE:** You must also set your `OPENAI_API_KEY` and `SERPAPI_API_KEY` environment variables in order to run the following tutorial.\n",
"\n",
"**NOTE:** You can only access an API key when you first create it. Keep it somewhere safe."
"**NOTE:** You can only access an API key when you first create it. Keep it somewhere safe.\n",
"\n",
"**NOTE:** You can also use a context manager in python to log traces using\n",
"```python\n",
"from langchain.callbacks.manager import tracing_v2_enabled\n",
"\n",
"with tracing_v2_enabled(project_name=\"My Project\"):\n",
" agent.run(\"How many people live in canada as of 2023?\")\n",
"```\n",
"\n",
"However, in this example, we will use environment variables."
]
},
{
@ -229,7 +239,7 @@
"source": [
"### 1. Create a LangSmith dataset\n",
"\n",
"Below, we use the LangSmith client to create a dataset from the agent runs you just logged above. You will use these later to measure performance for a new agent. This simple taking the inputs and outputs of the runs and saving them as examples to a dataset. A dataset is a collection of examples, which are nothing more than input-output pairs you can use as test cases to your application.\n",
"Below, we use the LangSmith client to create a dataset from the agent runs you just logged above. You will use these later to measure performance for a new agent. This is simply taking the inputs and outputs of the runs and saving them as examples to a dataset. A dataset is a collection of examples, which are nothing more than input-output pairs you can use as test cases to your application.\n",
"\n",
"**Note: this is a simple, walkthrough example. In a real-world setting, you'd ideally first validate the outputs before adding them to a benchmark dataset to be used for evaluating other agents.**\n",
"\n",