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@@ -14,7 +14,7 @@ class is used to create a ClearML Task to log LangChain assets and metrics.
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Integrate ClearML with the following steps:
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1. Set up the `ClearMLCallbackHandler`. The following code creates a [ClearML Task](../fundamentals/task.md) called
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`llm` in the `langchain_callback_demo` project, which captures your script's information, including Git details,
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uncommitted code, and python environment:
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uncommitted code, and Python environment:
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```python
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from langchain.callbacks import ClearMLCallbackHandler
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from langchain_openai import OpenAI
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@@ -60,7 +60,7 @@ To augment its automatic logging, ClearML also provides an explicit logging inte
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See more information about explicitly logging information to a ClearML Task:
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* [Models](../clearml_sdk/model_sdk.md#manually-logging-models)
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* [Configuration](../clearml_sdk/task_sdk.md#configuration) (e.g. parameters, configuration files)
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* [Artifacts](../clearml_sdk/task_sdk.md#artifacts) (e.g. output files or python objects created by a task)
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* [Artifacts](../clearml_sdk/task_sdk.md#artifacts) (e.g. output files or Python objects created by a task)
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* [Scalars](../clearml_sdk/task_sdk.md#scalars)
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* [Text/Plots/Debug Samples](../fundamentals/logger.md#manual-reporting)
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