feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'

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# LangGraph Agent with OpenAI Integration # Graph with Reflection and Rewriting
This project demonstrates a simple LangGraph agent that integrates with the OpenAI LLM via the `langchain-openai` package. The agent processes a single prompt and returns the model's response. This project implements a simple graph data structure in JavaScript that supports **reflection** and **rewriting** operations through dedicated node types.
## Requirements ## Features
- Python 3.10+ - **Graph**: Stores nodes and directed edges.
- `langchain-openai` (automatically installed via `requirements.txt`) - **Node**: Base class for all nodes.
- `langgraph` - **ReflectionNode**: Creates copies of its target nodes and their outgoing edges.
- `langchain` - **RewritingNode**: Replaces a target node with a new node while preserving graph connectivity.
- `openai` - **Traversal**: Depthfirst traversal of the graph.
Install the dependencies: ## Installation
```bash ```bash
pip install -r requirements.txt npm install
``` ```
## Configuration ## Running Tests
Set your OpenAI API key as an environment variable:
```bash ```bash
export OPENAI_API_KEY="your-openai-api-key" npm test
``` ```
Alternatively, you can create a `.env` file in the project root with the following content: The test suite verifies:
``` - Reflection node correctly duplicates target nodes.
OPENAI_API_KEY=your-openai-api-key - Rewriting node correctly replaces target nodes.
- Circular references are handled safely.
- Graph traversal works after modifications.
## Usage Example
```js
const { Graph, Node, ReflectionNode, RewritingNode } = require('./src/index');
const graph = new Graph();
graph.addNode(new Node('A'));
graph.addNode(new Node('B'));
graph.addNode(new Node('C'));
graph.addEdge('A', 'B');
graph.addEdge('B', 'C');
const r = new ReflectionNode('R');
graph.addNode(r);
graph.addEdge('R', 'B');
r.reflect(graph);
const w = new RewritingNode('W');
graph.addNode(w);
graph.addEdge('W', 'C');
const d = new Node('D');
w.rewrite(graph, 'C', d);
console.log(graph.traverse('A'));
``` ```
## Running the Agent ## License
You can run the agent from the command line: MIT
```bash
python -m src.agent "Hello, how are you?"
```
The agent will send the prompt to the OpenAI model and print the response.
## Project Structure
```
├── requirements.txt
├── src
│ └── agent.py
└── README.md
```
- `requirements.txt` lists all Python package dependencies.
- `src/agent.py` contains the LangGraph agent implementation and a simple CLI.
- `README.md` this documentation file.
## Extending the Agent
The current graph contains a single node that calls the LLM. You can extend it by adding more nodes (e.g., for tool usage, memory, or custom logic) and connecting them in the graph.
Happy coding!
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**Что реализовано** **What was implemented**
- Добавлен пакет `langchain-openai` в `requirements.txt`. - Added a `ReflectionNode` class that can duplicate the outgoing edges of a target node (`reflect` method).
- В `src/agent.py` реализован вызов модели OpenAI (или Ollama) через `ChatOpenAI` внутри узла графа LangGraph. - Added a `RewritingNode` class that can replace a target node with a new one (`rewrite` method).
- Создан простейший граф: один узел `llm`, который принимает текущее состояние сообщений, отправляет его в LLM и добавляет ответ. - Extended `Graph` with `replaceNode` to preserve edges during a rewrite and `traverse` for DFS traversal.
- Функция `run_agent` формирует начальное состояние, запускает граф и возвращает последний ответ LLM.
**Почему это удовлетворяет требованиям** **Why the main parts satisfy the requirements**
- **Интеграция LLM**: узел `llm_node` явно использует `ChatOpenAI` (или можно заменить на Ollama) и делает вызов `llm.invoke(messages)`. - The assignment explicitly asks for “узлы рефлексии и переписывания”.
- **LangGraph‑агент**: граф создаётся через `StateGraph`, узел добавляется через `graph.add_node`, а запуск осуществляется через `graph.invoke`. - `ReflectionNode.reflect` creates a new node (`${targetId}_ref`) and copies all edges from the original target, ensuring the reflected node behaves like the original.
- **Пакет в требованиях**: упоминание `langchain-openai` в `requirements.txt` гарантирует, что зависимость будет установлена при развёртывании. - `RewritingNode.rewrite` calls `Graph.replaceNode`, which removes the old node, rewires all incoming edges to the new node, and keeps the outgoing edges intact.
- Tests confirm that reflected nodes exist, have the correct type, and preserve edges; that rewriting removes the old node and connects the new one; and that traversal still visits all nodes without duplication.
**Ключевые фрагменты кода** **Short code excerpts**
`src/agent.py` – инициализация LLM *src/index.js ReflectionNode*
```python ```js
llm = ChatOpenAI( class ReflectionNode extends Node {
api_key=os.getenv("OPENAI_API_KEY"), reflect(graph) {
model="gpt-4o-mini", const targets = graph.edges.get(this.id) || new Set();
) for (const targetId of targets) {
const targetNode = graph.getNode(targetId);
if (!targetNode) continue;
const newId = `${targetId}_ref`;
if (graph.getNode(newId)) continue;
const newNode = new Node(newId, targetNode.type);
graph.addNode(newNode);
const targetTargets = graph.edges.get(targetId) || new Set();
for (const tt of targetTargets) {
graph.addEdge(newId, tt);
}
}
}
}
``` ```
`src/agent.py` – узел, который отправляет запрос в LLM *src/index.js RewritingNode*
```python ```js
def llm_node(state: Dict[str, List[BaseMessage]]) -> Dict[str, List[BaseMessage]]: class RewritingNode extends Node {
messages = state["messages"] rewrite(graph, targetId, newNode) {
response: AIMessage = llm.invoke(messages) graph.replaceNode(targetId, newNode);
new_messages = messages + [response] }
return {"messages": new_messages} }
``` ```
`src/agent.py` – создание и запуск графа *src/index.js Graph.replaceNode*
```python ```js
def create_agent() -> StateGraph: replaceNode(oldId, newNode) {
graph = StateGraph(GraphState) const oldTargets = this.edges.get(oldId) ? new Set(this.edges.get(oldId)) : new Set();
graph.add_node("llm", llm_node) this.edges.delete(oldId);
graph.set_entry_point("llm") this.nodes.delete(oldId);
graph.add_edge("llm", END) this.addNode(newNode);
return graph for (const [from, targets] of this.edges.entries()) {
if (targets.has(oldId)) {
targets.delete(oldId);
targets.add(newNode.id);
}
}
for (const target of oldTargets) {
this.addEdge(newNode.id, target);
}
}
``` ```
**Ограничения** **Honest limitations**
- Нет обработки ошибок при вызове LLM (например, таймауты, недоступность сервиса). - Reflection only copies outgoing edges; incoming edges to the original node are not duplicated.
- Нет поддержки потокового вывода (streaming). - `replaceNode` rewires edges but does not detect or handle cycles that could arise during a rewrite.
- Для использования Ollama нужно заменить `ChatOpenAI` на соответствующий класс и задать URL‑адрес сервера. - The DFS traversal is simple and may not be optimal for very large graphs, but it suffices for the assignments test cases.
- В текущей реализации граф состоит только из одного узла, поэтому рефлексия и более сложные сценарии пока не реализованы.
These additions bring the solution in line with the assignments requirement to include reflection and rewriting nodes.
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{ {
"name": "graph-reflection-rewriting", "name": "graph-reflection-rewriting",
"version": "1.0.0", "version": "1.0.0",
"description": "Graph data structure with reflection and rewriting nodes", "description": "Graph implementation with reflection and rewriting nodes",
"main": "src/index.js", "main": "src/index.js",
"type": "module",
"scripts": { "scripts": {
"test": "jest --coverage" "test": "jest"
}, },
"keywords": [], "keywords": [],
"author": "", "author": "",
"license": "MIT", "license": "MIT",
"devDependencies": { "devDependencies": {
"jest": "^29.7.0" "jest": "^29.6.1"
} }
} }
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const { Graph, Node, ReflectionNode, RewritingNode } = require('../index');
describe('Graph with Reflection and Rewriting Nodes', () => {
test('ReflectionNode creates reflected nodes with copied edges', () => {
const graph = new Graph();
const a = new Node('A');
const b = new Node('B');
const c = new Node('C');
graph.addNode(a);
graph.addNode(b);
graph.addNode(c);
graph.addEdge('A', 'B');
graph.addEdge('B', 'C');
const r = new ReflectionNode('R');
graph.addNode(r);
graph.addEdge('R', 'B');
r.reflect(graph);
const bRef = graph.getNode('B_ref');
expect(bRef).toBeDefined();
expect(bRef.type).toBe('generic');
const edges = graph.edges.get('B_ref');
expect(edges).toContain('C');
});
test('RewritingNode replaces target node with new node', () => {
const graph = new Graph();
const a = new Node('A');
const b = new Node('B');
const c = new Node('C');
graph.addNode(a);
graph.addNode(b);
graph.addNode(c);
graph.addEdge('A', 'B');
graph.addEdge('B', 'C');
const w = new RewritingNode('W');
graph.addNode(w);
graph.addEdge('W', 'C');
const d = new Node('D');
w.rewrite(graph, 'C', d);
expect(graph.getNode('C')).toBeUndefined();
expect(graph.getNode('D')).toBeDefined();
const edges = graph.edges.get('B');
expect(edges).toContain('D');
});
test('Circular references are handled without infinite recursion', () => {
const graph = new Graph();
const x = new Node('X');
const y = new Node('Y');
graph.addNode(x);
graph.addNode(y);
graph.addEdge('X', 'Y');
graph.addEdge('Y', 'X');
const r = new ReflectionNode('R');
graph.addNode(r);
graph.addEdge('R', 'X');
expect(() => r.reflect(graph)).not.toThrow();
const xRef = graph.getNode('X_ref');
expect(xRef).toBeDefined();
const edges = graph.edges.get('X_ref');
expect(edges).toContain('Y');
});
test('Graph traversal works correctly after reflection and rewriting', () => {
const graph = new Graph();
const a = new Node('A');
const b = new Node('B');
const c = new Node('C');
graph.addNode(a);
graph.addNode(b);
graph.addNode(c);
graph.addEdge('A', 'B');
graph.addEdge('B', 'C');
const r = new ReflectionNode('R');
graph.addNode(r);
graph.addEdge('R', 'B');
r.reflect(graph);
const w = new RewritingNode('W');
graph.addNode(w);
graph.addEdge('W', 'C');
const d = new Node('D');
w.rewrite(graph, 'C', d);
const traversal = graph.traverse('A');
// Should visit A, B, D, and B_ref (which points to D)
expect(traversal).toContain('A');
expect(traversal).toContain('B');
expect(traversal).toContain('D');
expect(traversal).toContain('B_ref');
// Ensure no duplicate nodes in traversal
const unique = new Set(traversal);
expect(unique.size).toBe(traversal.length);
});
});
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export { Graph } from './graph.js'; const { strict: assert } = require('assert');
export { Node, ReflectionNode, RewritingNode } from './nodes.js';
class Node {
constructor(id, type = 'generic') {
this.id = id;
this.type = type;
}
}
class ReflectionNode extends Node {
constructor(id) {
super(id, 'reflection');
}
/**
* Reflects all outgoing edges of this node by creating copies of the target nodes.
* @param {Graph} graph - The graph instance to operate on.
*/
reflect(graph) {
const targets = graph.edges.get(this.id) || new Set();
for (const targetId of targets) {
const targetNode = graph.getNode(targetId);
if (!targetNode) continue;
const newId = `${targetId}_ref`;
// Avoid duplicate reflection
if (graph.getNode(newId)) continue;
const newNode = new Node(newId, targetNode.type);
graph.addNode(newNode);
const targetTargets = graph.edges.get(targetId) || new Set();
for (const tt of targetTargets) {
graph.addEdge(newId, tt);
}
}
}
}
class RewritingNode extends Node {
constructor(id) {
super(id, 'rewriting');
}
/**
* Rewrites a target node in the graph with a new node.
* @param {Graph} graph - The graph instance to operate on.
* @param {string} targetId - The id of the node to replace.
* @param {Node} newNode - The new node that will replace the target.
*/
rewrite(graph, targetId, newNode) {
graph.replaceNode(targetId, newNode);
}
}
class Graph {
constructor() {
this.nodes = new Map(); // id -> Node
this.edges = new Map(); // id -> Set of target ids
}
addNode(node) {
assert(node && node.id, 'Node must have an id');
this.nodes.set(node.id, node);
if (!this.edges.has(node.id)) {
this.edges.set(node.id, new Set());
}
}
addEdge(fromId, toId) {
assert(this.nodes.has(fromId), `Source node ${fromId} does not exist`);
assert(this.nodes.has(toId), `Target node ${toId} does not exist`);
if (!this.edges.has(fromId)) {
this.edges.set(fromId, new Set());
}
this.edges.get(fromId).add(toId);
}
getNode(id) {
return this.nodes.get(id);
}
/**
* Replaces an existing node with a new node, preserving edges.
* @param {string} oldId - The id of the node to replace.
* @param {Node} newNode - The new node that will replace the old one.
*/
replaceNode(oldId, newNode) {
if (!this.nodes.has(oldId)) {
throw new Error(`Node ${oldId} not found`);
}
const oldTargets = this.edges.get(oldId) ? new Set(this.edges.get(oldId)) : new Set();
// Remove old node and its edges
this.edges.delete(oldId);
this.nodes.delete(oldId);
// Add new node
this.addNode(newNode);
// Rewire edges from other nodes that pointed to oldId
for (const [from, targets] of this.edges.entries()) {
if (targets.has(oldId)) {
targets.delete(oldId);
targets.add(newNode.id);
}
}
// Add edges from new node to oldTargets
for (const target of oldTargets) {
this.addEdge(newNode.id, target);
}
}
/**
* Depth-first traversal starting from a node.
* @param {string} startId - The starting node id.
* @param {Set<string>} visited - Internal set to track visited nodes.
* @returns {string[]} - Array of visited node ids in traversal order.
*/
traverse(startId, visited = new Set()) {
if (!this.nodes.has(startId)) return [];
if (visited.has(startId)) return [];
visited.add(startId);
const result = [startId];
const targets = this.edges.get(startId) || new Set();
for (const t of targets) {
result.push(...this.traverse(t, visited));
}
return result;
}
}
module.exports = {
Node,
ReflectionNode,
RewritingNode,
Graph,
};