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# Graphsignal |
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This page covers how to use the Graphsignal to trace and monitor LangChain. |
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## Installation and Setup |
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- Install the Python library with `pip install graphsignal` |
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- Create free Graphsignal account [here](https://graphsignal.com) |
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- Get an API key and set it as an environment variable (`GRAPHSIGNAL_API_KEY`) |
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## Tracing and Monitoring |
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Graphsignal automatically instruments and starts tracing and monitoring chains. Traces, metrics and errors are then available in your [Graphsignal dashboard](https://app.graphsignal.com/). No prompts or other sensitive data are sent to Graphsignal cloud, only statistics and metadata. |
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Initialize the tracer by providing a deployment name: |
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```python |
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import graphsignal |
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graphsignal.configure(deployment='my-langchain-app-prod') |
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``` |
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In order to trace full runs and see a breakdown by chains and tools, you can wrap the calling routine or use a decorator: |
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```python |
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with graphsignal.start_trace('my-chain'): |
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chain.run("some initial text") |
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``` |
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Optionally, enable profiling to record function-level statistics for each trace. |
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```python |
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with graphsignal.start_trace( |
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'my-chain', options=graphsignal.TraceOptions(enable_profiling=True)): |
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chain.run("some initial text") |
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``` |
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See the [Quick Start](https://graphsignal.com/docs/guides/quick-start/) guide for complete setup instructions. |
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