forked from Archives/langchain
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
45 lines
1.5 KiB
Markdown
45 lines
1.5 KiB
Markdown
# Graphsignal
|
|
|
|
This page covers how to use [Graphsignal](https://app.graphsignal.com) to trace and monitor LangChain. Graphsignal enables full visibility into your application. It provides latency breakdowns by chains and tools, exceptions with full context, data monitoring, compute/GPU utilization, OpenAI cost analytics, and more.
|
|
|
|
## Installation and Setup
|
|
|
|
- Install the Python library with `pip install graphsignal`
|
|
- Create free Graphsignal account [here](https://graphsignal.com)
|
|
- Get an API key and set it as an environment variable (`GRAPHSIGNAL_API_KEY`)
|
|
|
|
## Tracing and Monitoring
|
|
|
|
Graphsignal automatically instruments and starts tracing and monitoring chains. Traces and metrics are then available in your [Graphsignal dashboards](https://app.graphsignal.com).
|
|
|
|
Initialize the tracer by providing a deployment name:
|
|
|
|
```python
|
|
import graphsignal
|
|
|
|
graphsignal.configure(deployment='my-langchain-app-prod')
|
|
```
|
|
|
|
To additionally trace any function or code, you can use a decorator or a context manager:
|
|
|
|
```python
|
|
@graphsignal.trace_function
|
|
def handle_request():
|
|
chain.run("some initial text")
|
|
```
|
|
|
|
```python
|
|
with graphsignal.start_trace('my-chain'):
|
|
chain.run("some initial text")
|
|
```
|
|
|
|
Optionally, enable profiling to record function-level statistics for each trace.
|
|
|
|
```python
|
|
with graphsignal.start_trace(
|
|
'my-chain', options=graphsignal.TraceOptions(enable_profiling=True)):
|
|
chain.run("some initial text")
|
|
```
|
|
|
|
See the [Quick Start](https://graphsignal.com/docs/guides/quick-start/) guide for complete setup instructions.
|