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

# OpenCode

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

***

## Prerequisites

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

***

## Configuration

### Step 1: Connect the Provider

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

| Field       | Value                |
| ----------- | -------------------- |
| Provider ID | `tensorx`            |
| API Key     | Your TensorX 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": {
    "tensorx": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "TensorX",
      "options": {
        "baseURL": "https://api.tensorx.ai/v1",
        "apiKey": "{env:TENSORX_API_KEY}"
      },
      "models": {
        "<MODEL_ID>": {
          "name": "TensorX model"
        }
      }
    }
  }
}
```

Replace `<MODEL_ID>` with an ID returned by `GET /v1/models`. Add optional limits only after reading the selected model's metadata from `GET /v1/model/info`.

### Step 3: Set API Key

Set your API key as an environment variable:

```bash
export TENSORX_API_KEY=your-tensorx-api-key-here
```

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

```
TENSORX_API_KEY=your-tensorx-api-key-here
```

***

## Vision / Image Support

{% hint style="warning" %}
To use a model that accepts image input, add `modalities` to its model configuration. Without this setting, OpenCode strips images before sending them.
{% endhint %}

```json
{
  "<VISION_MODEL_ID>": {
    "name": "TensorX vision model",
    "modalities": {
      "input": ["text", "image"],
      "output": ["text"]
    }
  }
}
```

***

## Model selection

Call `GET /v1/models` with your TensorX API key and use one of the returned IDs. If the integration depends on a capability or token limit, query `GET /v1/model/info` before selecting the model. See [Models](/api-reference/models.md) for examples.

***

## Tips

* For vision tasks, remember to add the `modalities` config shown above
* Use the model ID as the configuration key

## Resources

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


---

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