Advanced tracing features
Tracing additional data such as trace name, custom log, session ID, etc.
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This page goes over some advanced tracing features.
Adding a trace name
If you’re tracing multiple functions, you can use the name parameter to distinguish between them:
Currently, when using python sdk, you can name a trace only when using
baserun.start_trace context manager and it’s not possible to do so when
using @baserun.trace decorator.
Setting a trace’s result
By default a trace’s result value will be the return value of the function or context that is traced. If you want to be more explicit, you can set the result value of a trace.
Adding custom metadata
You can also add custom metadata. This metadata could be whatever you like, provided that it is JSON serializable. For instance, you may want to include references to other objects or systems.
Associating with an LLM request
By default, annotations such as logs and checks are associated with a trace as a whole. To associate a with particular LLM request, you simply need to pass the completion ID from your LLM request. To do so using OpenAI’s SDK, you can do the following:
Here is how the user feedback will look like in Baserun dashboard:
