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new ver update doc
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Backend/index.md

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The core file that convert json to LangGraph is [/src/WorkFlow.py](https://github.com/LangGraph-GUI/LangGraph-GUI-backend/blob/main/src/WorkFlow.py)
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This use Flask server to communicate with frontend.
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[llm.py](https://github.com/LangGraph-GUI/LangGraph-GUI-backend/blob/main/src/llm.py) demo how to replace to different LLM services.
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Current implementation only runs graph.json, need frontend upload.
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This use FastAPI server to communicate with frontend.
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Current implementation only runs graph.json.
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*For a beginner-friendly introduction to LangGraph, visit [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn).*
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Frontend/Graph.md

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## Other Resource
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*If you want to learn more about LangGraph, we have LangGraph for dummy : [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn)*
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#### Information Node
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INFO node do nothing, just append info to previous stage output
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![](images/info.webp)

Frontend/Run.md

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This will Run graph.json on server.
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That is, you need upload graph.json first.
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![](./images/run.webp)
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![](./images/run_window.webp)
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## Run
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Execute graph.json into LangGraph with Ollama.
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After Run, recommand download files.
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Execute graph.json into LangGraph with LLM.
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After Run, recommand get files from server.
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## Stop
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To terminal remote running server. (Currently, many bugs. If stuck, plese restart docker compose)
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## Cancel
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## Leave
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Leave run menu
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## Text Space

Frontend/UI.md

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Frontend/UI1.md

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---
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layout: frontend
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---
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# UI
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There are several buttoms
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![](./images/panel_major.webp)
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## New Graph
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New will clean the canvas.
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## Save Graph
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Save the graph into json to your computer.
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## Load Graph
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Read the graph json from your computer.
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## Run Graph
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Run graph.json on server, for more info, see [Run](./Run)
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## Config
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* set what llm you want to use
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* api key

Frontend/UI2.md

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---
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layout: frontend
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---
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# UI
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There are several buttoms
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![](./images/panel_server.webp)
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## Upload Files to Server
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Send file to workspace as environment, for such file processing.
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## Get Files from Server
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After process with LLM, download all files in workspace.
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## Clean Server Cache
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Remove all files at workspace

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Frontend/outline.html

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<h2>Frontend</h2>
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<a href="/Frontend/">About</a></br>
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<a href="/Frontend/UI">UI</a></br>
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<a href="/Frontend/UI1">UI1</a></br>
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<a href="/Frontend/UI2">UI2</a></br>
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<a href="/Frontend/Graph">Graph</a></br>
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<a href="/Frontend/Examples">Examples</a></br>
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<a href="/Frontend/Run">Run</a></br>
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<a href="/Frontend/Run">Run</a></br>

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index.md

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We hope you find the information you need. If you have any questions, feel free to reach out!
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## Others
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*For a beginner-friendly introduction to LangGraph, visit [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn).*

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