MoonshotAI Kimi¶

v2¶

Ask a question to Moonshot AI Kimi vision-language models served via OpenRouter.

You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:

• Open Prompt (unconstrained) - Use any prompt to generate a raw response

• Text Recognition (OCR) (ocr) - Model recognizes text in the image

• Visual Question Answering (visual-question-answering) - Model answers the question you submit in the prompt

• Captioning (short) (caption) - Model provides a short description of the image

• Captioning (detailed-caption) - Model provides a long description of the image

• Single-Label Classification (classification) - Model classifies the image content as one of the provided classes

• Multi-Label Classification (multi-label-classification) - Model classifies the image content as one or more of the provided classes

• Unprompted Object Detection (object-detection) - Model detects and returns the bounding boxes for prominent objects in the image

• Structured Output Generation (structured-answering) - Model returns a JSON response with the specified fields

🛠️ API providers and model variants¶

Kimi is exposed via OpenRouter. By default this block uses the Roboflow-managed OpenRouter key and bills your Roboflow credits — no extra setup needed. To bypass Roboflow billing, paste your own sk-or-... key into the api_key field.

The privacy_level field controls which OpenRouter providers may serve the request:

• No data collection (default) – providers may not train on your inputs.
• Allow data collection – broader provider pool.
• Zero data retention – strictest, restricts to providers that retain nothing.

💡 Further reading and Acceptable Use Policy¶

Type identifier¶

Use the following identifier in step "type" field: roboflow_core/kimi_openrouter@v2to add the block as as step in your workflow.

Properties¶

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Runtime compatibility¶

requires_internet — air-gapped / offline deployments

This block depends on a service that is not reachable from fully offline / air-gapped deployments.

Available Connections¶

Input and Output Bindings¶

The available connections depend on its binding kinds. Check what binding kinds MoonshotAI Kimi in version v2 has.

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/kimi_openrouter@v2",
    "api_key": "rf_key:account",
    "privacy_level": "<block_does_not_provide_example>",
    "max_tokens": "<block_does_not_provide_example>",
    "temperature": "<block_does_not_provide_example>",
    "max_concurrent_requests": "<block_does_not_provide_example>",
    "images": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "prompt": "my prompt",
    "output_structure": {
        "my_key": "description"
    },
    "classes": [
        "class-a",
        "class-b"
    ],
    "model_version": "Kimi K2.6 - OpenRouter"
}

v1¶

Ask a question to Moonshot AI Kimi vision-language models served via OpenRouter.

You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:

• Open Prompt (unconstrained) - Use any prompt to generate a raw response

• Text Recognition (OCR) (ocr) - Model recognizes text in the image

• Visual Question Answering (visual-question-answering) - Model answers the question you submit in the prompt

• Captioning (short) (caption) - Model provides a short description of the image

• Captioning (detailed-caption) - Model provides a long description of the image

• Single-Label Classification (classification) - Model classifies the image content as one of the provided classes

• Multi-Label Classification (multi-label-classification) - Model classifies the image content as one or more of the provided classes

• Unprompted Object Detection (object-detection) - Model detects and returns the bounding boxes for prominent objects in the image

• Structured Output Generation (structured-answering) - Model returns a JSON response with the specified fields

🛠️ API providers and model variants¶

Kimi is exposed via OpenRouter API and we require passing an OpenRouter API Key to run.

Pick a specific model version from the model_version dropdown - new Kimi releases will be added to this list as they become available on OpenRouter.

💡 Further reading and Acceptable Use Policy¶

Type identifier¶

Use the following identifier in step "type" field: roboflow_core/kimi_openrouter@v1to add the block as as step in your workflow.

Properties¶

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Runtime compatibility¶

requires_internet — air-gapped / offline deployments

This block depends on a service that is not reachable from fully offline / air-gapped deployments.

Available Connections¶

Input and Output Bindings¶

The available connections depend on its binding kinds. Check what binding kinds MoonshotAI Kimi in version v1 has.

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/kimi_openrouter@v1",
    "images": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "prompt": "my prompt",
    "output_structure": {
        "my_key": "description"
    },
    "classes": [
        "class-a",
        "class-b"
    ],
    "api_key": "xxx-xxx",
    "model_version": "Kimi K2.6 - OpenRouter",
    "max_tokens": "<block_does_not_provide_example>",
    "temperature": "<block_does_not_provide_example>",
    "max_concurrent_requests": "<block_does_not_provide_example>"
}