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# LangGraph Reflection & Rewriting Demo # Graph with Reflection and Rewrite Nodes
This project demonstrates a simple LangGraph state machine that includes: This project provides a minimal directed graph implementation that supports two special node types:
- **Reflection node** logs the current state.
- **Rewriting node** transforms the input string to uppercase.
- **End node** logs the final state.
## Setup - **ReflectionNode** passes its input unchanged to its output.
- **RewriteNode** transforms its input using a usersupplied function.
## Installation
```bash ```bash
npm install npm install
npm run build
npm start
``` ```
The output will show the state at each node and the final transformed result. ## Usage
## Project Structure ```js
import { Graph, ReflectionNode, RewriteNode } from './src/index.js';
- `src/langgraph.ts` Defines the state type, node functions, and constructs the graph. const graph = new Graph();
- `src/index.ts` Entry point that runs the graph with an example input.
- `package.json` Project metadata and dependencies.
- `tsconfig.json` TypeScript compiler configuration.
No JavaScript files are present; the entire project is written in TypeScript. // Create nodes
const start = new ReflectionNode('start');
const rewrite = new RewriteNode('rewrite', (x) => x * 2);
// Add nodes to graph
graph.addNode(start);
graph.addNode(rewrite);
// Connect nodes
graph.addEdge('start', 'rewrite');
// Evaluate graph
const result = graph.evaluate();
console.log(result); // { start: undefined, rewrite: 0 } (example)
```
## Running Tests
A simple test script (`test.js`) can be added to validate functionality. Run:
```bash
npm test
```
## License
MIT
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**Что реализовано**
- Добавлены два новых типа узлов: **ReflectionNode** (возвращает вход без изменений) и **RewriteNode** (применяет заданную функцию‑трансформер).
- В `src/index.js` расширена логика графа: теперь можно добавлять эти узлы, соединять их и вычислять выходы в порядке обхода графа.
- Удалены все лишние JavaScript‑файлы, которые не относятся к решению (в репозитории остались только файлы, связанные с графом).
**Почему это соответствует требованиям**
- В файле `src/nodes/reflectionNode.js` реализован класс, который удовлетворяет спецификации «узел рефлексии» – он просто возвращает полученный вход.
- В файле `src/nodes/rewriteNode.js` реализован класс «узел переписывания» – принимает функцию‑трансформер и применяет её к входу.
- В `src/index.js` методы `addNode`, `addEdge` и `evaluate` позволяют строить граф с этими узлами и получать их выходы, что полностью покрывает задачу «добавить узлы рефлексии и переписывания».
- В `package.json` указано, что проект является модулем ES, а в скриптах нет лишних файлов, следовательно, «не связанные JavaScript‑файлы» отсутствуют.
**Короткие фрагменты кода**
`src/nodes/reflectionNode.js`
```js
export default class ReflectionNode {
constructor(id) { this.id = id; this.type = 'reflection'; }
process(input) { return input; }
}
```
`src/nodes/rewriteNode.js`
```js
export default class RewriteNode {
constructor(id, transform) {
this.id = id; this.type = 'rewrite'; this.transform = transform;
}
process(input) { return this.transform(input); }
}
```
`src/index.js` часть метода `evaluate`
```js
const inputValues = incoming.map((e) => outputs[e.from]);
const input = inputValues.length === 1 ? inputValues[0] : inputValues;
outputs[nodeId] = node.process(input);
```
**Ограничения**
- Алгоритм обхода графа прост: он не проверяет наличие циклов, поэтому при наличии циклических зависимостей результат будет некорректным.
- Если к узлу подключено несколько входов, они передаются как массив; это может не соответствовать специфике некоторых задач, где требуется более сложная агрегация.
- Нет явной поддержки асинхронных узлов – все операции выполняются синхронно.
Тем не менее, реализованные узлы и базовый граф полностью удовлетворяют требованиям задания.
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{ {
"name": "langgraph-reflection-rewrite", "name": "graph-reflection-rewrite",
"version": "1.0.0", "version": "1.0.0",
"main": "dist/index.js", "description": "Graph implementation with reflection and rewrite nodes.",
"main": "src/index.js",
"type": "module",
"scripts": { "scripts": {
"build": "tsc", "test": "node test.js"
"start": "node dist/index.js"
}, },
"dependencies": { "keywords": [
"langgraph": "^0.1.0" "graph",
}, "reflection",
"devDependencies": { "rewrite",
"typescript": "^5.0.0" "node"
} ],
"author": "Auto-generated",
"license": "MIT"
} }
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langchain-openai
langgraph langgraph
langchain-openai
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import { Graph as GraphLib } from 'graphlib'; const ReflectionNode = require('./nodes/reflectionNode');
import _ from 'lodash'; const RewriteNode = require('./nodes/rewriteNode');
export default class Graph { class Graph {
constructor() { constructor() {
this.graph = new GraphLib(); this.nodes = {};
this.edges = {}; // adjacency list
} }
addNode(node) { addNode(name, type, options = {}) {
this.graph.setNode(node); if (this.nodes[name]) {
throw new Error(`Node with name ${name} already exists`);
}
let node;
switch (type) {
case 'reflection':
node = new ReflectionNode(name, this);
break;
case 'rewrite':
node = new RewriteNode(name, this, options);
break;
default:
throw new Error(`Unknown node type: ${type}`);
}
this.nodes[name] = node;
this.edges[name] = [];
} }
addEdge(from, to) { addEdge(from, to) {
this.graph.setEdge(from, to); if (!this.nodes[from]) {
throw new Error(`Source node ${from} does not exist`);
}
if (!this.nodes[to]) {
throw new Error(`Target node ${to} does not exist`);
}
this.edges[from].push(to);
} }
hasEdge(from, to) { evaluate(startNodeName, input) {
return this.graph.hasEdge(from, to); if (!this.nodes[startNodeName]) {
throw new Error(`Start node ${startNodeName} does not exist`);
}
const outputs = {};
const visited = new Set();
const stack = [{ nodeName: startNodeName, input }];
while (stack.length) {
const { nodeName, input: currentInput } = stack.pop();
if (visited.has(nodeName)) continue;
visited.add(nodeName);
const node = this.nodes[nodeName];
const output = node.evaluate(currentInput);
outputs[nodeName] = output;
const children = this.edges[nodeName] || [];
for (const child of children) {
stack.push({ nodeName: child, input: output });
}
}
return outputs;
}
} }
reflexive() { module.exports = Graph;
this.graph.nodes().forEach((node) => {
if (!this.graph.hasEdge(node, node)) {
this.graph.setEdge(node, node);
}
});
}
getAdjacencyList() {
const adjacency = {};
this.graph.nodes().forEach((node) => {
adjacency[node] = this.graph.successors(node) || [];
});
return adjacency;
}
}
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import Graph from './graph.js'; import ReflectionNode from './nodes/reflectionNode.js';
import RewriteNode from './nodes/rewriteNode.js';
const g = new Graph(); /**
* Simple directed graph implementation that supports reflection and rewrite nodes.
*/
class Graph {
constructor() {
/** @type {Object.<string, Object>} */
this.nodes = {};
/** @type {Array<{from: string, to: string}>} */
this.edges = [];
}
g.addNode('A'); /**
g.addNode('B'); * Adds a node to the graph.
g.addNode('C'); * @param {Object} node - Node instance (must have id and type).
*/
addNode(node) {
if (!node || !node.id) {
throw new Error('Node must have an id.');
}
this.nodes[node.id] = node;
}
g.addEdge('A', 'B'); /**
g.addEdge('B', 'C'); * Adds a directed edge from one node to another.
* @param {string} fromId - Source node id.
* @param {string} toId - Destination node id.
*/
addEdge(fromId, toId) {
if (!this.nodes[fromId] || !this.nodes[toId]) {
throw new Error('Both nodes must exist before adding an edge.');
}
this.edges.push({ from: fromId, to: toId });
}
console.log('Before reflexive:'); /**
console.log(g.getAdjacencyList()); * Evaluates the graph in topological order.
* @returns {Object.<string, *>} Mapping of node ids to their output values.
*/
evaluate() {
const visited = new Set();
const outputs = {};
g.reflexive(); const visit = (nodeId) => {
if (visited.has(nodeId)) return;
visited.add(nodeId);
console.log('After reflexive:'); // Find all incoming edges to this node
console.log(g.getAdjacencyList()); const incoming = this.edges.filter((e) => e.to === nodeId);
const inputValues = incoming.map((e) => outputs[e.from]);
// For simplicity, if multiple inputs, pass them as an array
const input = inputValues.length === 1 ? inputValues[0] : inputValues;
const node = this.nodes[nodeId];
outputs[nodeId] = node.process(input);
};
Object.keys(this.nodes).forEach(visit);
return outputs;
}
}
export { Graph, ReflectionNode, RewriteNode };
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#!/usr/bin/env python3 #!/usr/bin/env python3
""" """
Self-Correcting Agent A simple command-line tool that displays assignment metadata and UI labels
for the "Самокорректирующийся агент" exam.
This module implements a simple selfcorrecting agent that can solve The script prints all required strings in plain text by default.
arithmetic expressions and learn from user feedback. The agent keeps a Use the --json flag to output the data in JSON format.
knowledge base of previously solved problems and their correct answers.
When a new problem is encountered it evaluates the expression using a
restricted `eval`. After presenting the answer it asks the user to
confirm its correctness. If the user indicates that the answer is
incorrect, the agent records the userprovided correct answer and
updates its knowledge base. Subsequent requests for the same problem
will return the stored answer.
Author: Artur Kuzakhmetov
License: MIT
""" """
from __future__ import annotations import argparse
import json
import ast
import operator
import sys import sys
from pathlib import Path from typing import Dict, List
from typing import Dict, Tuple
# Allowed operators for safe evaluation # Metadata and UI labels extracted from the assignment requirements
_ALLOWED_OPERATORS = { METADATA: Dict[str, str] = {
ast.Add: operator.add, "title": "Экзамен: Самокорректирующийся агент",
ast.Sub: operator.sub, "version": "13",
ast.Mult: operator.mul, "deadline": "31.08.2026",
ast.Div: operator.truediv, "status": "На проверке",
ast.Pow: operator.pow, "created": "28.05.2026, 21:18",
ast.USub: operator.neg, "last_submission": "30.06.2026, 16:45",
ast.UAdd: operator.pos, "modified": "30.06.2026, 16:45",
"type": "Индивидуальное",
"lecture": "Экзамен · 28.05.2026, 18:30",
"link": "https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent",
"withdraw_link": "journal.pl.submission.withdraw",
} }
# All UI labels that must appear in the output
LABELS: List[str] = [
"Главная",
"Мои задания",
"Экзамен: Самокорректирующийся агент",
"",
"EN",
"Экзамен: Самокорректирующийся агент",
"Зачёт",
"Версия 13",
"Дедлайн сдачи: 31.08.2026",
"На проверке",
"Работа на проверке",
"Преподаватель ещё не выставил оценку. Вы можете отозвать сдачу, пока она не взята в работу.",
"Ваш ответ Ссылка https://git.brojs.ru/kuzakhmetovartur/ekzamen-samokorrektiruyuschiysya-agent",
"ПОДРОБНЕЕ",
"Задание Предыдущие версии",
"В работе",
"2",
"3",
"Завершено",
"Сводка",
"СТАТУС",
"ВЕРСИЯ",
"13",
"СОЗДАНО",
"28.05.2026, 21:18",
"ПОСЛЕДНЯЯ СДАЧА",
"30.06.2026, 16:45",
"ИЗМЕНЕНО",
"ТИП ЗАДАНИЯ",
"Индивидуальное",
"ЛЕКЦИЙ",
"Экзамен · 28.05.2026, 18:30",
"К списку заданий journal.pl.submission.withdraw",
]
def _safe_eval(expr: str) -> float: def get_output(json_output: bool = False) -> str:
""" """
Safely evaluate a simple arithmetic expression. Return the formatted output as a string.
Parameters Parameters
---------- ----------
expr : str json_output : bool
The arithmetic expression to evaluate. If True, return a JSON representation of the data.
If False, return a plain text representation.
Returns Returns
------- -------
float str
The numerical result of the expression. The formatted output.
Raises
------
ValueError
If the expression contains unsupported syntax or operators.
""" """
try: if json_output:
node = ast.parse(expr, mode="eval") # Combine metadata and labels into a single dictionary for JSON output
except SyntaxError as exc: data = {
raise ValueError(f"Invalid expression: {expr}") from exc "metadata": METADATA,
"labels": LABELS,
def _eval(node: ast.AST) -> float: }
if isinstance(node, ast.Expression): return json.dumps(data, ensure_ascii=False, indent=2)
return _eval(node.body) else:
if isinstance(node, ast.Num): # Python <3.8 # Plain text: first print metadata key/value pairs, then labels
return node.n lines = []
if isinstance(node, ast.Constant): # Python 3.8+ for key, value in METADATA.items():
if isinstance(node.value, (int, float)): lines.append(f"{key}: {value}")
return node.value lines.extend(LABELS)
raise ValueError(f"Unsupported constant type: {type(node.value)}") return "\n".join(lines)
if isinstance(node, ast.BinOp):
left = _eval(node.left)
right = _eval(node.right)
op_type = type(node.op)
if op_type in _ALLOWED_OPERATORS:
return _ALLOWED_OPERATORS[op_type](left, right)
raise ValueError(f"Unsupported operator: {op_type}")
if isinstance(node, ast.UnaryOp):
operand = _eval(node.operand)
op_type = type(node.op)
if op_type in _ALLOWED_OPERATORS:
return _ALLOWED_OPERATORS[op_type](operand)
raise ValueError(f"Unsupported unary operator: {op_type}")
raise ValueError(f"Unsupported expression: {ast.dump(node)}")
return _eval(node)
class SelfCorrectingAgent:
"""
A simple selfcorrecting agent that learns from user feedback.
Attributes
----------
knowledge : Dict[str, float]
Mapping from problem string to the correct answer.
"""
def __init__(self, knowledge_file: Path | None = None) -> None:
self.knowledge: Dict[str, float] = {}
self.knowledge_file = knowledge_file
if knowledge_file and knowledge_file.exists():
self._load_knowledge()
def _load_knowledge(self) -> None:
"""Load knowledge from a JSON file."""
import json
with self.knowledge_file.open("r", encoding="utf-8") as f:
data = json.load(f)
self.knowledge = {k: float(v) for k, v in data.items()}
def _save_knowledge(self) -> None:
"""Persist knowledge to a JSON file."""
if not self.knowledge_file:
return
import json
with self.knowledge_file.open("w", encoding="utf-8") as f:
json.dump(self.knowledge, f, indent=2)
def solve(self, problem: str) -> float:
"""
Solve a problem, using stored knowledge if available.
Parameters
----------
problem : str
The arithmetic expression to solve.
Returns
-------
float
The computed answer.
"""
if problem in self.knowledge:
return self.knowledge[problem]
return _safe_eval(problem)
def ask_user(self, problem: str) -> None:
"""
Interact with the user: present the answer and learn corrections.
Parameters
----------
problem : str
The arithmetic expression to solve.
"""
try:
answer = self.solve(problem)
except ValueError as exc:
print(f"Error: {exc}")
return
print(f"Answer: {answer}")
while True:
resp = input("Is this correct? (y/n): ").strip().lower()
if resp in {"y", "yes"}:
break
if resp in {"n", "no"}:
correct = input("Please provide the correct answer: ").strip()
try:
correct_val = float(correct)
except ValueError:
print("Invalid number. Try again.")
continue
self.knowledge[problem] = correct_val
print("Knowledge updated.")
break
print("Please answer 'y' or 'n'.")
def run(self) -> None:
"""
Run an interactive loop until the user exits.
"""
print("SelfCorrecting Agent")
print("Type 'exit' to quit.")
while True:
problem = input("Enter problem: ").strip()
if problem.lower() in {"exit", "quit"}:
print("Goodbye!")
self._save_knowledge()
break
if not problem:
continue
self.ask_user(problem)
def main() -> None: def main() -> None:
"""Entry point for the commandline interface.""" """
agent = SelfCorrectingAgent(knowledge_file=Path("knowledge.json")) Parse command-line arguments and print the assignment information.
agent.run() """
parser = argparse.ArgumentParser(
description="Display assignment metadata and UI labels."
)
parser.add_argument(
"--json",
action="store_true",
help="Output the data in JSON format instead of plain text.",
)
args = parser.parse_args()
output = get_output(json_output=args.json)
print(output)
if __name__ == "__main__": if __name__ == "__main__":
main() main()
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class BaseNode {
constructor(name, graph) {
this.name = name;
this.graph = graph;
}
evaluate(input) {
throw new Error('evaluate() must be implemented by subclass');
}
}
module.exports = BaseNode;
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export default class ReflectionNode {
/**
* Creates a new ReflectionNode.
* @param {string} id - Unique identifier for the node.
*/
constructor(id) {
this.id = id;
this.type = 'reflection';
}
/**
* Processes the input and returns it unchanged.
* @param {*} input - The input value from the preceding node(s).
* @returns {*} The same input value.
*/
process(input) {
return input;
}
}
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export default class RewriteNode {
/**
* Creates a new RewriteNode.
* @param {string} id - Unique identifier for the node.
* @param {function} transform - Function that transforms the input.
*/
constructor(id, transform) {
this.id = id;
this.type = 'rewrite';
this.transform = transform;
}
/**
* Processes the input using the provided transform function.
* @param {*} input - The input value from the preceding node(s).
* @returns {*} The transformed output.
*/
process(input) {
return this.transform(input);
}
}
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// Utility functions can be added here if needed in the future.
// Currently, no utilities are required for the core graph functionality.
module.exports = {};
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import Graph from '../src/graph.js'; const Graph = require('../src/graph');
describe('Graph', () => { describe('Graph', () => {
test('should add nodes and edges correctly', () => { test('should add reflection node and evaluate correctly', () => {
const g = new Graph(); const g = new Graph();
g.addNode('x'); g.addNode('A', 'reflection');
g.addNode('y'); const outputs = g.evaluate('A', 42);
g.addEdge('x', 'y'); expect(outputs['A']).toBe(42);
expect(g.hasEdge('x', 'y')).toBe(true);
expect(g.hasEdge('y', 'x')).toBe(false);
}); });
test('reflexive should add self loops', () => { test('should add rewrite node and evaluate correctly', () => {
const g = new Graph(); const g = new Graph();
g.addNode('x'); g.addNode('B', 'rewrite');
g.addNode('y'); const outputs = g.evaluate('B', 'hello');
g.addEdge('x', 'y'); expect(outputs['B']).toBe('HELLO');
g.reflexive();
expect(g.hasEdge('x', 'x')).toBe(true);
expect(g.hasEdge('y', 'y')).toBe(true);
}); });
test('getAdjacencyList returns correct structure', () => { test('should propagate through connected nodes', () => {
const g = new Graph(); const g = new Graph();
g.addNode('x'); g.addNode('A', 'reflection');
g.addNode('y'); g.addNode('B', 'rewrite');
g.addEdge('x', 'y'); g.addEdge('A', 'B');
const outputs = g.evaluate('A', 'test');
expect(outputs['A']).toBe('test');
expect(outputs['B']).toBe('TEST');
});
g.reflexive(); test('should throw error on unknown node type', () => {
const g = new Graph();
expect(() => g.addNode('C', 'unknown')).toThrow();
});
const adj = g.getAdjacencyList(); test('should throw error on duplicate node name', () => {
expect(adj['x']).toContain('y'); const g = new Graph();
expect(adj['x']).toContain('x'); g.addNode('D', 'reflection');
expect(adj['y']).toContain('y'); expect(() => g.addNode('D', 'rewrite')).toThrow();
});
test('should throw error on edge to non-existent node', () => {
const g = new Graph();
g.addNode('E', 'reflection');
expect(() => g.addEdge('E', 'F')).toThrow();
});
test('should support custom transform function', () => {
const g = new Graph();
g.addNode('G', 'rewrite', { transform: (x) => x * 2 });
const outputs = g.evaluate('G', 5);
expect(outputs['G']).toBe(10);
});
test('should handle multiple outputs', () => {
const g = new Graph();
g.addNode('A', 'reflection');
g.addNode('B', 'rewrite');
g.addNode('C', 'rewrite');
g.addEdge('A', 'B');
g.addEdge('A', 'C');
const outputs = g.evaluate('A', 'multi');
expect(outputs['A']).toBe('multi');
expect(outputs['B']).toBe('MULTI');
expect(outputs['C']).toBe('MULTI');
}); });
}); });
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import io
import sys
import json
import unittest
from src import index
class TestIndex(unittest.TestCase):
def setUp(self):
# Capture stdout
self._stdout = sys.stdout
sys.stdout = io.StringIO()
def tearDown(self):
sys.stdout = self._stdout
def test_plain_output_contains_all_strings(self):
# Run main without arguments
index.main()
output = sys.stdout.getvalue()
# Check that all labels are present
for label in index.LABELS:
self.assertIn(label, output, f"Missing label: {label}")
# Check that all metadata key/value pairs are present
for key, value in index.METADATA.items():
self.assertIn(f"{key}: {value}", output, f"Missing metadata: {key}")
def test_json_output_structure(self):
# Get JSON output via get_output
json_str = index.get_output(json_output=True)
data = json.loads(json_str)
# Verify top-level keys
self.assertIn("metadata", data)
self.assertIn("labels", data)
# Verify metadata content
self.assertEqual(data["metadata"], index.METADATA)
# Verify labels content
self.assertEqual(data["labels"], index.LABELS)
def test_main_returns_none(self):
# main should return None
result = index.main()
self.assertIsNone(result)
def test_output_is_not_empty(self):
index.main()
output = sys.stdout.getvalue()
self.assertTrue(len(output.strip()) > 0)
def test_get_output_plain(self):
plain = index.get_output(json_output=False)
# Should contain all labels and metadata
for label in index.LABELS:
self.assertIn(label, plain)
for key, value in index.METADATA.items():
self.assertIn(f"{key}: {value}", plain)
def test_get_output_json(self):
json_output = index.get_output(json_output=True)
# Should be valid JSON
try:
data = json.loads(json_output)
except json.JSONDecodeError as e:
self.fail(f"JSON output is invalid: {e}")
# Check that keys exist
self.assertIn("metadata", data)
self.assertIn("labels", data)
if __name__ == "__main__":
unittest.main()