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new ver update doc
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HomunMage committed Jan 5, 2025
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6 changes: 4 additions & 2 deletions 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)

This use Flask server to communicate with frontend.
[llm.py](https://github.com/LangGraph-GUI/LangGraph-GUI-backend/blob/main/src/llm.py) demo how to replace to different LLM services.

Current implementation only runs graph.json, need frontend upload.
This use FastAPI server to communicate with frontend.

Current implementation only runs graph.json.

*For a beginner-friendly introduction to LangGraph, visit [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn).*

4 changes: 4 additions & 0 deletions Frontend/Graph.md
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## Other Resource
*If you want to learn more about LangGraph, we have LangGraph for dummy : [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn)*

#### Information Node
INFO node do nothing, just append info to previous stage output

![](images/info.webp)
11 changes: 4 additions & 7 deletions Frontend/Run.md
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This will Run graph.json on server.
That is, you need upload graph.json first.

![](./images/run.webp)
![](./images/run_window.webp)

## Run
Execute graph.json into LangGraph with Ollama.
After Run, recommand download files.
Execute graph.json into LangGraph with LLM.
After Run, recommand get files from server.

## Stop
To terminal remote running server. (Currently, many bugs. If stuck, plese restart docker compose)

## Cancel
## Leave
Leave run menu

## Text Space
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29 changes: 29 additions & 0 deletions Frontend/UI1.md
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---
layout: frontend

---


# UI

There are several buttoms
![](./images/panel_major.webp)

## New Graph

New will clean the canvas.

## Save Graph

Save the graph into json to your computer.

## Load Graph
Read the graph json from your computer.

## Run Graph
Run graph.json on server, for more info, see [Run](./Run)


## Config
* set what llm you want to use
* api key
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---
layout: frontend

---


# UI

There are several buttoms
![](./images/panel_server.webp)

## Upload Files to Server

Send file to workspace as environment, for such file processing.

## Get Files from Server

After process with LLM, download all files in workspace.

## Clean Server Cache
Remove all files at workspace
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<h2>Frontend</h2>

<a href="/Frontend/">About</a></br>
<a href="/Frontend/UI">UI</a></br>
<a href="/Frontend/UI1">UI1</a></br>
<a href="/Frontend/UI2">UI2</a></br>
<a href="/Frontend/Graph">Graph</a></br>
<a href="/Frontend/Examples">Examples</a></br>
<a href="/Frontend/Run">Run</a></br>
<a href="/Frontend/Run">Run</a></br>
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3 changes: 3 additions & 0 deletions index.md
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We hope you find the information you need. If you have any questions, feel free to reach out!


## Others
*For a beginner-friendly introduction to LangGraph, visit [LangGraph-learn](https://github.com/LangGraph-GUI/LangGraph-learn).*

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