Releases: newrelic/nr-openai-observability
0.3.1
0.3.0
What's Changed
- Introducing LangChain integration by @ykriger-newrelic in #21
Full Changelog: 0.2.7...0.3.0
0.2.7
What's Changed
- Handle null message content by @RyanKadri in #20
New Contributors
- @RyanKadri made their first contribution in #20
Full Changelog: 0.2.6...0.2.7
0.2.6
-
application_name
is now a requirement parameter for the initializationmonitor.initialization( application_name="OpenAI observability example" )
-
We have introduced a new entity type: LLM application. Now all the corresponding events are attached to the new entity.
-
The LLM application entities can be found here
What's Changed
- Added new events for chat completions by @nhoffmann-newrelic in #11
- bugfix: all messages have the same ID by @nhoffmann-newrelic in #15
- add input field to embedding by @nhoffmann-newrelic in #16
Full Changelog: 0.2.5...0.2.6
0.2.5
Full Changelog: 0.2.4...0.2.5
0.2.4
add keywords to package
0.2.3
add event_client_host optional parameter to support eu users (#4) * add event_client_host optional parameter to support eu users * update README.md
0.2.2
0.2.1
Introducing "nr-openai-observability", the new python package from New Relic that enables observability options for OpenAI models. With real-time monitoring and tracing, you can gain insights into the performance and behavior of your OpenAI models, optimizing their performance and identifying issues before they impact your business. This powerful tool is a must-have for anyone working with OpenAI models.
This release description was written by ChatGPT, a large language model trained by OpenAI.
0.2.0
Fix publish to testPypi