crawford  gulpease_index   osman  
0      -0.2            79.8  116.91  
1       1.4            72.1  100.17  
2      -0.2            79.8  116.91  
3       1.4            72.1  100.17  
4      -0.2            79.8  116.91  
5       1.4            72.1  100.17  
6      -0.2            79.8  116.91  
7       1.4            72.1  100.17  
8      -0.2            79.8  116.91  
9       1.4            72.1  100.17  
10     -0.2            79.8  116.91  
11      1.4            72.1  100.17  
[12 rows x 24 columns]}
2023-03-29 14:00:25,948 - clearml.Task - INFO - Completed model upload to https://files.clear.ml/langchain_callback_demo/llm.988bd727b0e94a29a3ac0ee526813545/models/simple_sequential
At this point you can already go to https://app.clear.ml and take a look at the resulting ClearML Task that was created.
Among others, you should see that this notebook is saved along with any git information. The model JSON that contains the used parameters is saved as an artifact, there are also console logs and under the plots section, you’ll find tables that represent the flow of the chain.
Finally, if you enabled visualizations, these are stored as HTML files under debug samples.
rtdocs_stable/api.python.langchain.com/en/stable/integrations/clearml_tracking.html