> For the complete documentation index, see [llms.txt](https://docs.tensorix.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorix.ai/ai-coding-assistants/zed.md).

# Zed Editor

Use Tensorix models as your AI coding assistant in Zed — the high-performance, open-source code editor.

***

## Overview

[Zed](https://zed.dev) is an open-source code editor built for speed, with native AI integration via its Agent Panel. With 76K+ GitHub stars, it's one of the fastest-growing editors. Zed supports OpenAI-compatible providers, making it easy to connect to Tensorix models.

{% hint style="success" %}
**Why Zed + Tensorix?**

* ⚡ **Blazing fast** — GPU-accelerated editor built in Rust
* 🤖 **Built-in AI Agent** — Inline assistant and Agent Panel
* 🔧 **Tool use** — AI can run terminal commands, edit files, search code
* 💰 **Cost-effective** — Use powerful open-source models instead of expensive proprietary ones
* 👥 **Multiplayer** — Real-time collaboration with AI assistance
  {% endhint %}

***

## Prerequisites

* **Zed** (latest version) — [download here](https://zed.dev/download)
* A Tensorix API key ([sign up here](https://app.tensorix.ai/register))

***

## Setup

### Step 1: Add Tensorix as a Provider

1. Open Zed
2. Open the Agent Panel (`Cmd+Shift+A` on macOS / `Ctrl+Shift+A` on Linux)
3. Click **Settings** (gear icon) → **Add Provider**
4. Choose **OpenAI Compatible** and fill in:

| Setting           | Value                        |
| ----------------- | ---------------------------- |
| **Provider Name** | `Tensorix`                   |
| **API URL**       | `https://api.tensorix.ai/v1` |

### Step 2: Set Your API Key

Set the `TENSORIX_API_KEY` environment variable. Zed derives the env var name from the provider name:

```bash
export TENSORIX_API_KEY=your-tensorix-api-key-here
```

To make it permanent, add to your `~/.zshrc` or `~/.bashrc`:

```bash
echo 'export TENSORIX_API_KEY=your-tensorix-api-key-here' >> ~/.zshrc
```

### Step 3: Configure Models

Alternatively, configure everything via Zed's settings file (`Cmd+,` → Edit `settings.json`):

```json
{
  "language_models": {
    "openai_compatible": {
      "Tensorix": {
        "api_url": "https://api.tensorix.ai/v1",
        "available_models": [
          {
            "name": "z-ai/glm-5.1",
            "display_name": "GLM-5.1 ⭐",
            "max_tokens": 203000,
            "max_output_tokens": 16384,
            "capabilities": {
              "tools": true,
              "images": false
            }
          },
          {
            "name": "deepseek/deepseek-chat-v3.1",
            "display_name": "DeepSeek V3.1",
            "max_tokens": 164000,
            "max_output_tokens": 16384,
            "capabilities": {
              "tools": true,
              "images": false
            }
          },
          {
            "name": "deepseek/deepseek-r1-0528",
            "display_name": "DeepSeek R1",
            "max_tokens": 164000,
            "max_output_tokens": 16384,
            "capabilities": {
              "tools": true,
              "images": false
            }
          },
          {
            "name": "minimax/minimax-m2.5",
            "display_name": "MiniMax M2.5",
            "max_tokens": 197000,
            "capabilities": {
              "tools": true,
              "images": false
            }
          },
          {
            "name": "moonshotai/kimi-k2.5",
            "display_name": "Kimi K2.5",
            "max_tokens": 262000,
            "capabilities": {
              "tools": true,
              "images": true
            }
          }
        ]
      }
    }
  }
}
```

### Step 4: Select Model

Open the Agent Panel and select a Tensorix model from the model dropdown.

***

## Recommended Models

| Use Case      | Model                         | Why                                      |
| ------------- | ----------------------------- | ---------------------------------------- |
| **Coding** ⭐  | `z-ai/glm-5.1`                | Top coding performance, strong reasoning |
| **Reasoning** | `deepseek/deepseek-r1-0528`   | Complex analysis, architecture decisions |
| **Functions** | `minimax/minimax-m2.5`        | Function calling, reasoning              |
| **Vision**    | `moonshotai/kimi-k2.5`        | Image understanding, large context       |
| **General**   | `deepseek/deepseek-chat-v3.1` | Balanced performance and cost            |

***

## Using the AI Features

### Agent Panel

Open with `Cmd+Shift+A` (macOS) / `Ctrl+Shift+A` (Linux). The agent can:

* Write and edit code across multiple files
* Run terminal commands
* Search your codebase
* Explain code and answer questions

### Inline Assistant

Select code and press `Cmd+Enter` (macOS) / `Ctrl+Enter` (Linux) to get inline AI suggestions.

***

## Troubleshooting

### Models Not Appearing

Ensure your `TENSORIX_API_KEY` environment variable is set and Zed was restarted after setting it.

### Authentication Errors

The API key env var name is derived from the provider name. If you named your provider "Tensorix", the env var must be `TENSORIX_API_KEY`.

***

## See Also

* [Zed Documentation](https://zed.dev/docs)
* [Zed LLM Providers](https://zed.dev/docs/ai/llm-providers)
* [Zed on GitHub](https://github.com/zed-industries/zed)
* [Tensorix Models](https://tensorix.ai/models)


---

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