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README

LangGraph-GUI-backend

fastapi ver LangGraph-GUI backend

The backend supports running LangGraph-GUI workflow json using localLLM such ollama.

For more infomation, please see official site: LangGraph-GUI.github.io

Environment Setup

To install the required dependencies for LangGraph and server, run:

pip install -r requirements.txt

Running the server

To run a local language model, first start Ollama in a separate terminal:

ollama serve

At another thread, up the server

mkdir src/workspace
cd src/workspace
python ../server.py

Chnage Log

see: root repo CHANGELOG

Core symbols most depended-on inside this repo

logger
called by 20
src/util.py
clip_history
called by 8
src/llm.py
find_nodes_by_type
called by 6
src/WorkFlow.py
write
called by 4
src/ServerTee.py
flush
called by 4
src/ServerTee.py
create_llm_chain
called by 3
src/llm.py
get_or_create_workspace
called by 3
src/FileTransmit.py
get_llm
called by 2
src/llm.py

Shape

Function 28
Method 18
Route 7
Class 6

Languages

Python100%

Modules by API surface

src/WorkFlow.py14 symbols
src/main.py9 symbols
src/ServerTee.py9 symbols
src/process_handler.py7 symbols
src/FileTransmit.py7 symbols
src/NodeData.py6 symbols
src/llm.py5 symbols
src/util.py1 symbols
src/run_graph.py1 symbols

For agents

$ claude mcp add LangGraph-GUI-backend \
  -- python -m otcore.mcp_server <graph>

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