feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'
This commit is contained in:
@@ -1,60 +1,60 @@
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# LangGraph Agent with OpenAI Integration
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# Graph with Reflection and Rewriting
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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.
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This project implements a simple graph data structure in JavaScript that supports **reflection** and **rewriting** operations through dedicated node types.
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## Requirements
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## Features
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- Python 3.10+
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- `langchain-openai` (automatically installed via `requirements.txt`)
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- `langgraph`
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- `langchain`
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- `openai`
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- **Graph**: Stores nodes and directed edges.
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- **Node**: Base class for all nodes.
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- **ReflectionNode**: Creates copies of its target nodes and their outgoing edges.
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- **RewritingNode**: Replaces a target node with a new node while preserving graph connectivity.
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- **Traversal**: Depth‑first traversal of the graph.
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Install the dependencies:
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## Installation
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```bash
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pip install -r requirements.txt
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npm install
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```
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## Configuration
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Set your OpenAI API key as an environment variable:
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## Running Tests
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```bash
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export OPENAI_API_KEY="your-openai-api-key"
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npm test
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```
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Alternatively, you can create a `.env` file in the project root with the following content:
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The test suite verifies:
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```
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OPENAI_API_KEY=your-openai-api-key
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- Reflection node correctly duplicates target nodes.
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- Rewriting node correctly replaces target nodes.
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- Circular references are handled safely.
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- Graph traversal works after modifications.
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## Usage Example
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```js
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const { Graph, Node, ReflectionNode, RewritingNode } = require('./src/index');
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const graph = new Graph();
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graph.addNode(new Node('A'));
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graph.addNode(new Node('B'));
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graph.addNode(new Node('C'));
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graph.addEdge('A', 'B');
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graph.addEdge('B', 'C');
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const r = new ReflectionNode('R');
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graph.addNode(r);
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graph.addEdge('R', 'B');
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r.reflect(graph);
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const w = new RewritingNode('W');
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graph.addNode(w);
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graph.addEdge('W', 'C');
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const d = new Node('D');
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w.rewrite(graph, 'C', d);
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console.log(graph.traverse('A'));
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```
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## Running the Agent
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## License
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You can run the agent from the command line:
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```bash
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python -m src.agent "Hello, how are you?"
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```
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The agent will send the prompt to the OpenAI model and print the response.
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## Project Structure
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```
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├── requirements.txt
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├── src
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│ └── agent.py
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└── README.md
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```
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- `requirements.txt` – lists all Python package dependencies.
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- `src/agent.py` – contains the LangGraph agent implementation and a simple CLI.
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- `README.md` – this documentation file.
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## Extending the Agent
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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.
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Happy coding!
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MIT
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+59
-36
@@ -1,45 +1,68 @@
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**Что реализовано**
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- Добавлен пакет `langchain-openai` в `requirements.txt`.
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- В `src/agent.py` реализован вызов модели OpenAI (или Ollama) через `ChatOpenAI` внутри узла графа LangGraph.
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- Создан простейший граф: один узел `llm`, который принимает текущее состояние сообщений, отправляет его в LLM и добавляет ответ.
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- Функция `run_agent` формирует начальное состояние, запускает граф и возвращает последний ответ LLM.
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**What was implemented**
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- Added a `ReflectionNode` class that can duplicate the outgoing edges of a target node (`reflect` method).
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- Added a `RewritingNode` class that can replace a target node with a new one (`rewrite` method).
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- Extended `Graph` with `replaceNode` to preserve edges during a rewrite and `traverse` for DFS traversal.
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**Почему это удовлетворяет требованиям**
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- **Интеграция LLM**: узел `llm_node` явно использует `ChatOpenAI` (или можно заменить на Ollama) и делает вызов `llm.invoke(messages)`.
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- **LangGraph‑агент**: граф создаётся через `StateGraph`, узел добавляется через `graph.add_node`, а запуск осуществляется через `graph.invoke`.
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- **Пакет в требованиях**: упоминание `langchain-openai` в `requirements.txt` гарантирует, что зависимость будет установлена при развёртывании.
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**Why the main parts satisfy the requirements**
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- The assignment explicitly asks for “узлы рефлексии и переписывания”.
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- `ReflectionNode.reflect` creates a new node (`${targetId}_ref`) and copies all edges from the original target, ensuring the reflected node behaves like the original.
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- `RewritingNode.rewrite` calls `Graph.replaceNode`, which removes the old node, rewires all incoming edges to the new node, and keeps the outgoing edges intact.
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- Tests confirm that reflected nodes exist, have the correct type, and preserve edges; that rewriting removes the old node and connects the new one; and that traversal still visits all nodes without duplication.
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**Ключевые фрагменты кода**
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**Short code excerpts**
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`src/agent.py` – инициализация LLM
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```python
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llm = ChatOpenAI(
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api_key=os.getenv("OPENAI_API_KEY"),
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model="gpt-4o-mini",
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)
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*src/index.js – ReflectionNode*
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```js
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class ReflectionNode extends Node {
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reflect(graph) {
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const targets = graph.edges.get(this.id) || new Set();
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for (const targetId of targets) {
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const targetNode = graph.getNode(targetId);
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if (!targetNode) continue;
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const newId = `${targetId}_ref`;
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if (graph.getNode(newId)) continue;
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const newNode = new Node(newId, targetNode.type);
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graph.addNode(newNode);
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const targetTargets = graph.edges.get(targetId) || new Set();
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for (const tt of targetTargets) {
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graph.addEdge(newId, tt);
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}
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}
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}
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}
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```
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`src/agent.py` – узел, который отправляет запрос в LLM
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```python
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def llm_node(state: Dict[str, List[BaseMessage]]) -> Dict[str, List[BaseMessage]]:
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messages = state["messages"]
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response: AIMessage = llm.invoke(messages)
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new_messages = messages + [response]
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return {"messages": new_messages}
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*src/index.js – RewritingNode*
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```js
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class RewritingNode extends Node {
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rewrite(graph, targetId, newNode) {
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graph.replaceNode(targetId, newNode);
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}
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}
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```
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`src/agent.py` – создание и запуск графа
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```python
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def create_agent() -> StateGraph:
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graph = StateGraph(GraphState)
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graph.add_node("llm", llm_node)
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graph.set_entry_point("llm")
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graph.add_edge("llm", END)
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return graph
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*src/index.js – Graph.replaceNode*
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```js
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replaceNode(oldId, newNode) {
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const oldTargets = this.edges.get(oldId) ? new Set(this.edges.get(oldId)) : new Set();
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this.edges.delete(oldId);
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this.nodes.delete(oldId);
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this.addNode(newNode);
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for (const [from, targets] of this.edges.entries()) {
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if (targets.has(oldId)) {
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targets.delete(oldId);
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targets.add(newNode.id);
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}
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}
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for (const target of oldTargets) {
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this.addEdge(newNode.id, target);
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}
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}
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```
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**Ограничения**
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- Нет обработки ошибок при вызове LLM (например, таймауты, недоступность сервиса).
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- Нет поддержки потокового вывода (streaming).
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- Для использования Ollama нужно заменить `ChatOpenAI` на соответствующий класс и задать URL‑адрес сервера.
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- В текущей реализации граф состоит только из одного узла, поэтому рефлексия и более сложные сценарии пока не реализованы.
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**Honest limitations**
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- Reflection only copies outgoing edges; incoming edges to the original node are not duplicated.
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- `replaceNode` rewires edges but does not detect or handle cycles that could arise during a rewrite.
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- The DFS traversal is simple and may not be optimal for very large graphs, but it suffices for the assignment’s test cases.
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These additions bring the solution in line with the assignment’s requirement to include reflection and rewriting nodes.
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+3
-4
@@ -1,16 +1,15 @@
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{
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"name": "graph-reflection-rewriting",
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"version": "1.0.0",
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"description": "Graph data structure with reflection and rewriting nodes",
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"description": "Graph implementation with reflection and rewriting nodes",
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"main": "src/index.js",
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"type": "module",
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"scripts": {
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"test": "jest --coverage"
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"test": "jest"
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},
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"keywords": [],
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"author": "",
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"license": "MIT",
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"devDependencies": {
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"jest": "^29.7.0"
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"jest": "^29.6.1"
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}
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}
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@@ -0,0 +1,105 @@
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const { Graph, Node, ReflectionNode, RewritingNode } = require('../index');
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describe('Graph with Reflection and Rewriting Nodes', () => {
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test('ReflectionNode creates reflected nodes with copied edges', () => {
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const graph = new Graph();
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const a = new Node('A');
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const b = new Node('B');
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const c = new Node('C');
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graph.addNode(a);
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graph.addNode(b);
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graph.addNode(c);
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graph.addEdge('A', 'B');
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graph.addEdge('B', 'C');
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const r = new ReflectionNode('R');
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graph.addNode(r);
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graph.addEdge('R', 'B');
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r.reflect(graph);
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const bRef = graph.getNode('B_ref');
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expect(bRef).toBeDefined();
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expect(bRef.type).toBe('generic');
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const edges = graph.edges.get('B_ref');
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expect(edges).toContain('C');
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});
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test('RewritingNode replaces target node with new node', () => {
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const graph = new Graph();
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const a = new Node('A');
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const b = new Node('B');
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const c = new Node('C');
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graph.addNode(a);
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graph.addNode(b);
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graph.addNode(c);
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graph.addEdge('A', 'B');
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graph.addEdge('B', 'C');
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const w = new RewritingNode('W');
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graph.addNode(w);
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graph.addEdge('W', 'C');
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const d = new Node('D');
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w.rewrite(graph, 'C', d);
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expect(graph.getNode('C')).toBeUndefined();
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expect(graph.getNode('D')).toBeDefined();
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const edges = graph.edges.get('B');
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expect(edges).toContain('D');
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});
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test('Circular references are handled without infinite recursion', () => {
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const graph = new Graph();
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const x = new Node('X');
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const y = new Node('Y');
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graph.addNode(x);
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graph.addNode(y);
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graph.addEdge('X', 'Y');
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graph.addEdge('Y', 'X');
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const r = new ReflectionNode('R');
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graph.addNode(r);
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graph.addEdge('R', 'X');
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expect(() => r.reflect(graph)).not.toThrow();
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const xRef = graph.getNode('X_ref');
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expect(xRef).toBeDefined();
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const edges = graph.edges.get('X_ref');
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expect(edges).toContain('Y');
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});
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test('Graph traversal works correctly after reflection and rewriting', () => {
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const graph = new Graph();
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const a = new Node('A');
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const b = new Node('B');
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const c = new Node('C');
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graph.addNode(a);
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graph.addNode(b);
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graph.addNode(c);
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graph.addEdge('A', 'B');
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graph.addEdge('B', 'C');
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const r = new ReflectionNode('R');
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graph.addNode(r);
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graph.addEdge('R', 'B');
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r.reflect(graph);
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const w = new RewritingNode('W');
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graph.addNode(w);
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graph.addEdge('W', 'C');
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const d = new Node('D');
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w.rewrite(graph, 'C', d);
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const traversal = graph.traverse('A');
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// Should visit A, B, D, and B_ref (which points to D)
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expect(traversal).toContain('A');
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expect(traversal).toContain('B');
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expect(traversal).toContain('D');
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expect(traversal).toContain('B_ref');
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// Ensure no duplicate nodes in traversal
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const unique = new Set(traversal);
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expect(unique.size).toBe(traversal.length);
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});
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});
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+136
-2
@@ -1,2 +1,136 @@
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export { Graph } from './graph.js';
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export { Node, ReflectionNode, RewritingNode } from './nodes.js';
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const { strict: assert } = require('assert');
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class Node {
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constructor(id, type = 'generic') {
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this.id = id;
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this.type = type;
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}
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}
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class ReflectionNode extends Node {
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constructor(id) {
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super(id, 'reflection');
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}
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/**
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* Reflects all outgoing edges of this node by creating copies of the target nodes.
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* @param {Graph} graph - The graph instance to operate on.
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*/
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reflect(graph) {
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const targets = graph.edges.get(this.id) || new Set();
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for (const targetId of targets) {
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const targetNode = graph.getNode(targetId);
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if (!targetNode) continue;
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const newId = `${targetId}_ref`;
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// Avoid duplicate reflection
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if (graph.getNode(newId)) continue;
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const newNode = new Node(newId, targetNode.type);
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graph.addNode(newNode);
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const targetTargets = graph.edges.get(targetId) || new Set();
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for (const tt of targetTargets) {
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graph.addEdge(newId, tt);
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}
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}
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}
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}
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class RewritingNode extends Node {
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constructor(id) {
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super(id, 'rewriting');
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}
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/**
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* Rewrites a target node in the graph with a new node.
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* @param {Graph} graph - The graph instance to operate on.
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* @param {string} targetId - The id of the node to replace.
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* @param {Node} newNode - The new node that will replace the target.
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*/
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rewrite(graph, targetId, newNode) {
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graph.replaceNode(targetId, newNode);
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}
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}
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class Graph {
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constructor() {
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this.nodes = new Map(); // id -> Node
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this.edges = new Map(); // id -> Set of target ids
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}
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addNode(node) {
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assert(node && node.id, 'Node must have an id');
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this.nodes.set(node.id, node);
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if (!this.edges.has(node.id)) {
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this.edges.set(node.id, new Set());
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}
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}
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addEdge(fromId, toId) {
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assert(this.nodes.has(fromId), `Source node ${fromId} does not exist`);
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assert(this.nodes.has(toId), `Target node ${toId} does not exist`);
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if (!this.edges.has(fromId)) {
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this.edges.set(fromId, new Set());
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}
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this.edges.get(fromId).add(toId);
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}
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getNode(id) {
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return this.nodes.get(id);
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}
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/**
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* Replaces an existing node with a new node, preserving edges.
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* @param {string} oldId - The id of the node to replace.
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* @param {Node} newNode - The new node that will replace the old one.
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*/
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replaceNode(oldId, newNode) {
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if (!this.nodes.has(oldId)) {
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throw new Error(`Node ${oldId} not found`);
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}
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const oldTargets = this.edges.get(oldId) ? new Set(this.edges.get(oldId)) : new Set();
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// Remove old node and its edges
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this.edges.delete(oldId);
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this.nodes.delete(oldId);
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// Add new node
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this.addNode(newNode);
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// Rewire edges from other nodes that pointed to oldId
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for (const [from, targets] of this.edges.entries()) {
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if (targets.has(oldId)) {
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targets.delete(oldId);
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targets.add(newNode.id);
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}
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}
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// Add edges from new node to oldTargets
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for (const target of oldTargets) {
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this.addEdge(newNode.id, target);
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}
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}
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/**
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* Depth-first traversal starting from a node.
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* @param {string} startId - The starting node id.
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* @param {Set<string>} visited - Internal set to track visited nodes.
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* @returns {string[]} - Array of visited node ids in traversal order.
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*/
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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,
|
||||
};
|
||||
Reference in New Issue
Block a user