This release is a pre-release and may not be stable for production use.
GraphVIAgent
Local Graph-View-Agent for LangGraph. Scan *_pipeline.py files, record runs under .graphviagent/, and inspect them in a browser UI.
Pipeline files do not import GraphVIAgent. Nothing is sent to LangSmith. Only runs you start from the UI or CLI are stored.
Requirements
- Python 3.10 or newer
- A folder of LangGraph files named
*_pipeline.py
Install
New folder:
mkdir my_graphs
cd my_graphs
python3 -m venv .venv
source .venv/bin/activate
pip install -U pip
pip install graphviagent
From a clone of this repo:
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
First pipeline
Installing the package does not copy example files into your project. Add one yourself. The file name must end with _pipeline.py.
Save this as echo_pipeline.py:
from typing import TypedDict
from langgraph.graph import END, START, StateGraph
EXAMPLES = [
{"label": "hello", "input": {"text": "hello"}},
{"label": "GraphVIAgent", "input": {"text": "GraphVIAgent"}},
]
class EchoState(TypedDict):
text: str
echoed: str
length: int
def echo(state: EchoState) -> dict:
text = state["text"]
return {
"echoed": text[::-1],
"length": len(text),
"reason": f"reversed {len(text)} chars",
}
def build_graph():
graph = StateGraph(EchoState)
graph.add_node("echo", echo)
graph.add_edge(START, "echo")
graph.add_edge("echo", END)
return graph.compile()
EXAMPLES is optional. The first item prefills the input box. Use {"label": "hello", "input": {"text": "hello"}} or a bare dict.
List pipelines
From the folder that contains the file:
graphviagent .
graphviagent list .
You should see echo_pipeline.py ok examples=2. If you see no *_pipeline.py, you are in the wrong folder or the file name is wrong.
Record a run from the CLI
graphviagent run echo_pipeline.py --input '{"text":"hi"}'
The run is stored under .graphviagent/ in the current directory. Exit status is 1 if the graph raised.
Open the UI
graphviagent serve .
graphviagent serve . --open
--open launches the browser. Or open http://127.0.0.1:8765 yourself. Leave the terminal running.
graphviagent serve . --port 9000
graphviagent serve . --host 127.0.0.1
New or edited *_pipeline.py files refresh the sidebar on their own. You do not need to restart serve. A file-change panel (bottom right) shows when a pipeline appears, is modified, or its SHA256 hash changes.
Trace
- Select the pipeline in the sidebar.
- Edit the JSON input (the first
EXAMPLESitem is prefilled). - Click Run.
- Single-click a node to select it. Double-click to open Node view.
- Filter the run list by status (all / success / failed), node name, or input text.
- Export downloads the open run as JSON. Import or drop a JSON file on the run list.
- Delete run removes the open run. Hover a JSON box and use Copy to copy it.
Replay step runs only the selected node again. Replay from (and Call node in Node view) invoke the real node. Side effects will fire.
Each run stores a SHA256 of the graph (nodes, edges, state keys, tools). If that hash no longer matches the loaded pipeline, the run is marked outdated and replay asks before continuing.
If a node returns messages or tool calls, they render as a thread above the JSON tree.
Pipelines
Airflow-style grid: duration bars, then task × run (✓ / ✕ / ○). Click the name to open Trace. Click a bar, cell, or ▶ to open that run. Clear deletes every run for that pipeline.
Failed nodes stay in history and show as red.
Compare
Open Compare. Filter by pipeline (default all). When a pipeline is selected, Run A and Run B only list that pipeline’s runs. Diff input, path, per-node output, and timing. Hover a cell and use Copy.
Where runs are stored
Runs are written under the folder you served or ran from:
my_graphs/.graphviagent/runs/echo_pipeline/<id>.json
Add .graphviagent/ to .gitignore.
Pipeline contract
A file is viewable if it is named *_pipeline.py and exposes one of:
build_graph()/get_graph()/create_graph()- compiled
GRAPHorapp __graph__ = "factory_name"
Optional: EXAMPLES = [{"label": "hello", "input": {"text": "hello"}}] (or a bare dict). The first example prefills the Trace input.
If a node update includes decisions, reason, or choice, the UI labels the branch. That is optional.
Examples in this repo
After a clone:
graphviagent serve examples
examples/dummy_pipeline.py— name-length branch and a polish loopexamples/echo_pipeline.py— reverse atextfieldexamples/math_pipeline.py— add or divide;{a: 12, b: 0, op: "div"}raisesexamples/ratio_pipeline.py— part / total;{total: 0}raisesexamples/stats_pipeline.py— mean of a list;{values: []}raisesexamples/grade_pipeline.py— score / max;{maximum: 0}raisesexamples/convert_pipeline.py—{value: 0, unit: "per_unit"}or{unit: "kelvin"}raises
Metadata
Release files for graphviagent 1.1.0.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| graphviagent-1.1.0.dev0.tar.gz | 68.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graphviagent-1.1.0.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 131.4 kB
Release files / graphviagent-1.1.0.dev0.tar.gz
| Download URL | graphviagent-1.1.0.dev0.tar.gz |
|---|---|
| Size | 68.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
f33b5480bfafdfce47d63ba268e4e56dadca89042be6d523269795a10d4b0338
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Yes |
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twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.
Transparency logRelease files / graphviagent-1.1.0.dev0-py3-none-any.whl
| Download URL | graphviagent-1.1.0.dev0-py3-none-any.whl |
|---|---|
| Size | 63.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a4effddf916126e16e434e0c4c7280b3ea562af9cb7fa6eeacb2a5da464a4849
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b6f1ed6158f424bf339541a0435af009f7cbaca470307fba48cff2541b4a95e8
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.
Transparency log