OpenCode

Use TensorX models with OpenCode, the open-source terminal-based AI coding agent.

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Prerequisites

• OpenCode installed
• A TensorX API key from app.tensorx.ai

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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):

{
  "$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": {
        "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:

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

Or add to ~/.opencode/.env:

TENSORX_API_KEY=your-tensorx-api-key-here

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Vision / Image Support

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.

"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"]
  }
}

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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

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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 TensorX model catalog — use the model ID as the key

Resources

• OpenCode Documentation
• TensorX API Reference
• TensorX Model Catalog