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Force-directed graph · gpt-5.1-codex-mini

Using the pre-provided d3.min.js (global d3), render an interactive force-directed graph of about 40 nodes in several clusters with draggable nodes, hover highlighting of neighbors, and zoom/pan. Define the sample nodes and links inline.

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user

Using the pre-provided d3.min.js (global d3), render an interactive force-directed graph of about 40 nodes in several clusters with draggable nodes, hover highlighting of neighbors, and zoom/pan. Define the sample nodes and links inline.

assistant
bash {"command":"ls"}
toolResult

d3.min.js

assistant
thinking
**Considering node generation**

I’m thinking about assigning names like "Alpha 1" and creating a script to define them with an abbreviation. It looks like we need to generate 40 nodes, and it could be efficient to build them using loops. However, they requested that I define sample nodes inline, which means I'll manually create an array of nodes with id strings.

To do this, I'll set up my clusters and nodes accordingly, but I might find it easier to just list the entries manually, even if it takes more time.**Planning node and cluster definitions**

It looks like the user prefers sample nodes defined inline, so I'll still construct my nodes array using loops but include it directly in the script. Here's how the script might look:

```javascript
const clusters = [
 {name: "Alpha", group: 0},
 //... etc...
];

const nodes = clusters.flatMap(({name, group}) => 
  Array.from({length: 10}, (_, i) => ({ id: `${name}-${i + 1}`, group }))
);
```

With 4 clusters having 10 nodes each, we'll get the required 40. As for links, I can create sequential connections for each cluster and include some cross-cluster links, referencing node IDs for simplicity. This should keep the structure organized!**Outlining clustering and linking**

I'm starting with pseudo code, defining my clusters like this:

```javascript
const clusterDefs = [
  {name:"Alpha", group:0},
  {name:"Beta", group:1},
  {name:"Gamma", group:2},
  {name:"Delta", group:3},
];
```

I’ll create nodes for each cluster with unique IDs, and then link sequential nodes within each cluster while considering additional cross-cluster links. It might look like this:

```javascript
const links = [];
clusterDefs.forEach(cluster => {
  for (let i = 1; i < 10; i++) links.push({source:`${cluster.name}-${i}`, target:`${cluster.name}-${i+1}`});
});
```

I'll also need to include D3 implementation details, and ensure everything loads correctly for the graph.**Configuring drag and highlight functions**

I'm setting up the drag function for my nodes as follows:

```javascript
function drag(simulation) {
  function dragstarted(event, d) {
    if (!event.active) simulation.alphaTarget(0.3).restart();
    d.fx = d.x;
    d.fy = d.y;
  }
}
```

Next, I'll consider highlight functions. Adding text labels for each node is a good idea, and maybe I could create a small tooltip near the circles using the `<title>` element. I definitely want to highlight neighboring nodes and links as well. This should enhance the user experience!**Implementing highlights and interactions**

I'm setting up a neighbor map to track connections between nodes:

```javascript
const neighborMap = {};
links.forEach(link => {
  const {source, target} = link;
  neighborMap[source] = neighborMap[source] || new Set();
  neighborMap[target] = neighborMap[target] || new Set();
  neighborMap[source].add(target);
  neighborMap[target].add(source);
});
```

I also need to implement highlighting functions to emphasize nodes and links when hovered over. I plan to reset highlights on mouse out and ensure neighbors are also highlighted. For the overall structure of my HTML and SVG, I may consider adding styling details and functionality like zooming and dragging. This setup will enhance the user experience significantly!**Structuring highlight interactions**

I'm establishing a neighbor map to maintain node connections before the simulation. The important part is that even after the `links` array is transformed into object references, my mapping remains effective using string values. I'll need to ensure connections work properly if nodes lack neighbors and handle background interactions for mouse events to reset highlights.

For CSS, I'm planning on defining classes such as `active` and `inactive` to manage which nodes should be highlighted, while also ensuring a lighter appearance for dimmed nodes. I'll write instructions into the HTML for user interaction details, making the graph experience more engaging and informative!**Crafting SVG graph layout**

I'm setting up a script for my graph, starting with defining clusters and nodes. The links array will help establish connections, while a neighbor map will track relationships between nodes. I'm building an SVG with zoom capabilities and constructing groups for links and nodes, ensuring the simulation functions properly. 

I'll create highlighting functions to improve interaction and implement drag support for nodes. Additionally, I’m finalizing the CSS rules for styling and positioning text, like user instructions within the graph area for clarity and user engagement.**Finalizing HTML and CSS setup**

I'm organizing the HTML and CSS for my graph. Since I’m appending the SVG to `#graph`, I need to make sure I don’t override the existing `#info` element inside it. The z-index for `#info` should be high. Crafting the style rules is key for clarity and interaction, so I’m including instructions for users to engage with the clusters.

I'll be writing the final HTML content while making sure everything, like `node` and `link`, is accessible in my functions without duplicates. It's all coming together!
write index.html (6483 bytes)
toolResult

Successfully wrote 6483 bytes to index.html

assistant

Built a complete single-file SPA in `index.html` that loads the provided `d3.min.js` and renders an interactive, force-directed network (≈40 nodes across clusters). Features include draggable nodes, zoom/pan support, and hover highlighting of neighbors.

TAKE IT TO CODE

A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.

RUN

modelgpt-5.1-codex-mini
vendorOpenAI
harnesspi-agent
generated2026-08-01

EVALUATION

4/5 working

Force-directed clustered graph with drag/zoom-pan working; hover highlight enlarges nodes but keyboard causes drift/zoom-out.

Vision grade · anthropic/claude-sonnet-5

MEASUREMENTS

Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.

idle motion1.5%
on click0.0%
on drag3.9%
on wheel2.9%
on enter + space0.0%
on arrow keys0.0%
on w/a/s/d0.0%
frame spread12.4 / 255
console errors0
js errors none

METRICS

runtime75.4s
tokens in5.9k
tokens out11k
cached3.5k
cost / run$0.0229