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1. renamed package to langgraph_compare
2. rewrote docs and README.md to use new name
3. fixed imports in tests to use new name
4. moved main examples to separate folder inside examples dir, fixed imports
5. added examples for comparing different architectures
Copy file name to clipboardExpand all lines: README.md
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# LangGraph Log Parser
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# LangGraph Compare
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# Documentation
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Documentation is available at: https://serafinski.github.io/LangGraph-Log-Parser/
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Documentation is available at: https://serafinski.github.io/LangGraph-Compare/
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# Purpose
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This Python package facilitates the parsing of run logs generated by [LangGraph](https://langchain-ai.github.io/langgraph/). During execution, logs are stored in an SQLite database in an encoded format _(using msgpack)_. These logs are then decoded and exported to a `json` format. Subsequently, the `json` files are transformed into `csv` files for further analysis.
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## Environment setup
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To create virtual environment (using conda), use the following commands:
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```dotenv
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conda create -n langgraph_log_parser python=3.9
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conda activate langgraph_log_parser
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pip install langgraph_log_parser
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conda create -n langgraph_compare python=3.9
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conda activate langgraph_compare
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pip install langgraph_compare
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```
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# Basic Example
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This example is based on the [Building a Basic Chatbot](https://langchain-ai.github.io/langgraph/tutorials/introduction/#part-1-build-a-basic-chatbot) from LangGraph documentation.
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It will require You to install the following packages _(besides `langgraph_log_parser`)_:
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It will require You to install the following packages _(besides `langgraph_compare`)_:
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```dotenv
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pip install python-dotenv langchain-openai
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```
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from langgraph.graph import StateGraph, START, END
In this example, we will introduce :class:`langgraph_log_parser.jsons_to_csv.SupervisorConfig`. It will supervise the graph - working more or less work the same as :code:`GraphConfig`. The concept of supervisors will make more sense in :ref:`hierarchical_agent_teams`.
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In this example, we will introduce :class:`langgraph_compare.jsons_to_csv.SupervisorConfig`. It will supervise the graph - working more or less work the same as :code:`GraphConfig`. The concept of supervisors will make more sense in :ref:`hierarchical_agent_teams`.
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