# OpenCode

Use Tensorix models with [OpenCode](https://opencode.ai), the open-source terminal-based AI coding agent.

***

## Prerequisites

* [OpenCode](https://opencode.ai) installed
* A Tensorix API key from [app.tensorix.ai](https://app.tensorix.ai)

***

## Configuration

### Step 1: Connect the Provider

Run `/connect` in OpenCode, select **Other**, and enter:

| Field       | Value                 |
| ----------- | --------------------- |
| Provider ID | `tensorix`            |
| API Key     | Your Tensorix API key |

### Step 2: Configure opencode.json

Add the following to your project's `opencode.json` (or `~/.opencode/opencode.json` for global config):

```json
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "tensorix": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Tensorix",
      "options": {
        "baseURL": "https://api.tensorix.ai/v1",
        "apiKey": "{env:TENSORIX_API_KEY}"
      },
      "models": {
        "z-ai/glm-5.1": {
          "name": "GLM 5.1",
          "limit": {
            "context": 131072,
            "output": 16384
          }
        },
        "moonshotai/kimi-k2.5": {
          "name": "Kimi K2.5",
          "limit": {
            "context": 131072,
            "output": 16384
          }
        },
        "deepseek/deepseek-r1-0528": {
          "name": "DeepSeek R1",
          "limit": {
            "context": 131072,
            "output": 16384
          }
        }
      }
    }
  }
}
```

### Step 3: Set API Key

Set your API key as an environment variable:

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

Or add to `~/.opencode/.env`:

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

***

## Vision / Image Support

{% hint style="warning" %}
**Important:** To use vision-capable models (e.g. Kimi K2.5, Qwen 3 VL) with image attachments, you **must** add `modalities` to the model config. Without this, OpenCode will strip images before sending them.
{% endhint %}

```json
"moonshotai/kimi-k2.5": {
  "name": "Kimi K2.5",
  "modalities": {
    "input": ["text", "image"],
    "output": ["text"]
  }
},
"qwen/qwen3-vl-235b-a22b-instruct": {
  "name": "Qwen 3 VL",
  "modalities": {
    "input": ["text", "image"],
    "output": ["text"]
  }
}
```

***

## Available Models

| Model       | ID                                 | Best For           |
| ----------- | ---------------------------------- | ------------------ |
| GLM 5.1     | `z-ai/glm-5.1`                     | General, Tool Use  |
| Kimi K2.5   | `moonshotai/kimi-k2.5`             | Reasoning, Vision  |
| Qwen 3 VL   | `qwen/qwen3-vl-235b-a22b-instruct` | Vision, Multimodal |
| DeepSeek R1 | `deepseek/deepseek-r1-0528`        | Reasoning, Code    |
| MiniMax M2  | `minimax/minimax-m2`               | Long Context       |

***

## Tips

* **GLM 5.1** is recommended for tool-heavy coding workflows
* For vision tasks, remember to add the `modalities` config shown above
* You can add any model from the [Tensorix model catalog](https://tensorix.ai/models) — use the model ID as the key

## Resources

* [OpenCode Documentation](https://opencode.ai)
* [Tensorix API Reference](https://docs.tensorix.ai)
* [Tensorix Model Catalog](https://tensorix.ai/models)


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