---

name: sn-image-base description: | Base-layer skill for the SenseNova-Skills project, providing low-level APIs for image generation, recognition (VLM), and text optimization (LLM). This skill does not preprocess inputs; it only calls backend services and returns results. This skill is not user-facing and is intended for upper-layer skills only. triggers:

• "SenseNova-Skills Image Generation"
• "SenseNova-Skills 图像基础工具"
• "sn 图像基础工具"
• "SenseNova 图像基础工具"
• "SenseNova Image Generation"
• "sn-image-base" metadata: project: SenseNova-Skills tier: 0 category: infrastructure user_visible: false

---

sn-image-base

Dependency Installation

pip install -r requirements.txt

Overview

sn-image-base is the base-layer skill (tier 0) of the SenseNova-Skills project and provides four low-level tools:

• sn-image-generate: image generation (calls text-to-image-no-enhance API)
• sn-image-edit: image editing with SenseNova U1.5 Lite (calls /images/edits)
• sn-image-recognize: image recognition (uses VLM to analyze image content)
• sn-text-optimize: text optimization (uses LLM to process text)

This skill does not perform any input preprocessing and only calls backend services to return results.

Tools List

sn-image-generate

Image generation tool that calls the text-to-image-no-enhance API.

--prompt is required; all other parameters are optional:

| Parameter | Type | Default | Description | |------|------|--------|------| | --prompt | string | Required | Prompt text for image generation | | --negative-prompt | string | "" | Negative prompt | | --image-size | string | 2k | Image size preset (case-insensitive). Recommended: 2k. 4k is supported by sensenova-u1.5-lite; other SenseNova image models may reject it. Other values → status=failed. | | --aspect-ratio | string | 16:9 | Aspect ratio, e.g. 1:1, 16:9, 9:16 | | --seed | int | None | Random seed for reproducible generation | | --unet-name | string | None | Specify a UNet model name | | --api-key | string | SN_IMAGE_GEN_API_KEY -> SN_API_KEY | API key (CLI argument has priority; MissingApiKeyError is raised when all are empty) | | --base-url | string | SN_IMAGE_GEN_BASE_URL -> SN_BASE_URL | API base URL (CLI argument has priority) | | --poll-interval | float | 5.0 | Polling interval (seconds) | | --timeout | float | 300.0 | Timeout (seconds) | | --insecure | flag | False | Disable TLS verification | | --save-path | Path | Auto-generated | Save path |

SenseNova image requests explicitly send watermark=false by default. Both sensenova-u1-fast and sensenova-u1.5-lite are supported; U1.5 Lite additionally supports native 4K output. This no-watermark feature is currently in free public beta and may become paid.

sn-image-edit

Edits one or more reference images with SenseNova U1.5 Lite through the /images/edits endpoint. Local paths are converted to Data URLs; HTTP(S) URLs and Data URLs are passed through.

python scripts/sn_agent_runner.py sn-image-edit \
    --prompt "Change the background to a snowy mountain" \
    --images source.png reference.png \
    --save-path edited.png

The edit request uses the official defaults n=1, size=auto, watermark=false, prompt_extend=true, and response_format=url.

sn-image-recognize

Image recognition tool that uses VLM (Vision Language Model) to analyze image content. Supports multiple image inputs.

--images and --user-prompt (or --user-prompt-path) are required. All other parameters use three-level defaults (CLI > env var > built-in default):

| Parameter | Type | Built-in Default | Env Var | Description | |------|------|-----------|---------|------| | --api-key | string | No hardcoded default | SN_VISION_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY | Chat runtime API key; raises MissingApiKeyError when all are unset | | --base-url | string | SN_CHAT_BASE_URL default | SN_VISION_BASE_URL -> SN_CHAT_BASE_URL -> SN_BASE_URL | Vision provider base URL; falls back to shared chat/global provider | | --model | string | sensenova-6.8-flash-lite | SN_VISION_MODEL -> SN_CHAT_MODEL | Vision-capable model name | | --vlm-type | string | openai-completions | SN_VISION_TYPE -> SN_CHAT_TYPE | Chat protocol type override | | --user-prompt-path | string | None | - | Local file path, mutually exclusive with --user-prompt | | --system-prompt-path | string | None | - | Local file path, mutually exclusive with --system-prompt |

Available values for --vlm-type:

• openai-completions: OpenAI-compatible /v1/chat/completions interface
• anthropic-messages: Anthropic Messages /v1/messages interface

sn-text-optimize

Text optimization tool that uses LLM (Language Model) to optimize text content. Does not accept image inputs.

--user-prompt (or --user-prompt-path) is required. All other parameters use three-level defaults (CLI > env var > built-in default):

| Parameter | Type | Built-in Default | Env Var | Description | |------|------|-----------|---------|------| | --api-key | string | No hardcoded default | SN_TEXT_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY | Chat runtime API key; raises MissingApiKeyError when all are unset | | --base-url | string | SN_CHAT_BASE_URL default | SN_TEXT_BASE_URL -> SN_CHAT_BASE_URL -> SN_BASE_URL | Text provider base URL; falls back to shared chat/global provider | | --model | string | sensenova-6.8-flash-lite | SN_TEXT_MODEL -> SN_CHAT_MODEL | Text model name | | --llm-type | string | openai-completions | SN_TEXT_TYPE -> SN_CHAT_TYPE | Chat protocol type override | | --user-prompt-path | string | None | - | Local file path, mutually exclusive with --user-prompt | | --system-prompt-path | string | None | - | Local file path, mutually exclusive with --system-prompt |

Available values for --llm-type:

• openai-completions: OpenAI-compatible /v1/chat/completions interface
• anthropic-messages: Anthropic Messages /v1/messages interface

VLM vs LLM

| Tool | Model Type | Image Input | Interface Type Parameter | |------|----------|-----------------|-------------| | sn-image-recognize | VLM (Vision Language Model) | Yes, supports multiple images | --vlm-type | | sn-text-optimize | LLM (Language Model) | No, text only | --llm-type |

Usage

All tools are called through the unified sn_agent_runner.py entrypoint:

# Image generation (only prompt required; api-key/base-url have defaults)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..."

# Image generation (override base-url)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..." \
    --base-url "https://custom-endpoint.com/v1"

# Image generation (explicitly override api-key)
python scripts/sn_agent_runner.py sn-image-generate \
    --prompt "..." \
    --api-key "sk-xxx"

# Image recognition (VLM) - minimal call (uses built-in Sensenova defaults)
python scripts/sn_agent_runner.py sn-image-recognize \
    --user-prompt "Describe the image" \
    --images "path/to/image.png"

# Image recognition (VLM) - override to Anthropic Claude API compatible (messages interface)
python scripts/sn_agent_runner.py sn-image-recognize \
    --user-prompt "Describe the image" \
    --images "path/to/image.png" \
    --api-key "sk-ant-xxx" \
    --base-url "https://api.anthropic.com" \
    --model "claude-sonnet-4-6" \
    --vlm-type "anthropic-messages"

# Text optimization (LLM) - minimal call (uses built-in Sensenova defaults)
python scripts/sn_agent_runner.py sn-text-optimize \
    --user-prompt "Optimize the text: ..."

# Text optimization (LLM) - override to Anthropic Claude API compatible (messages interface)
python scripts/sn_agent_runner.py sn-text-optimize \
    --user-prompt "Optimize the text: ..." \
    --api-key "sk-ant-xxx" \
    --base-url "https://api.anthropic.com" \
    --model "claude-sonnet-4-6" \
    --llm-type "anthropic-messages"

Default Parameter Behavior

Authentication parameters for sn-image-generate have the following default behavior:

| Parameter | Default | Override | Description | |------|--------|----------|------| | --base-url | SN_IMAGE_GEN_BASE_URL -> SN_BASE_URL | --base-url "..." | CLI argument has priority | | --api-key | SN_IMAGE_GEN_API_KEY -> SN_API_KEY | --api-key "..." | CLI argument has priority; throws MissingApiKeyError if all values are empty |

sn-image-recognize and sn-text-optimize use priority: CLI argument > command-specific env var > shared SN_CHAT_* env var > global SN_* env var > built-in default.

| Parameter | Built-in Default | Vision Env Var | Text Env Var | |------|-----------|-------------|-------------| | --api-key | None (must be provided) | SN_VISION_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY | SN_TEXT_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEY | | --base-url | https://token.sensenova.cn/v1 | SN_VISION_BASE_URL -> SN_CHAT_BASE_URL -> SN_BASE_URL | SN_TEXT_BASE_URL -> SN_CHAT_BASE_URL -> SN_BASE_URL | | --model | sensenova-6.8-flash-lite | SN_VISION_MODEL -> SN_CHAT_MODEL | SN_TEXT_MODEL -> SN_CHAT_MODEL | | --vlm-type / --llm-type | openai-completions | SN_VISION_TYPE -> SN_CHAT_TYPE | SN_TEXT_TYPE -> SN_CHAT_TYPE |

api_key resolution order (high to low): CLI --api-key > command-specific key (SN_VISION_API_KEY/SN_TEXT_API_KEY) > SN_CHAT_API_KEY > SN_API_KEY. If all are unset, MissingApiKeyError is raised.

Only --api-key must be provided via CLI or environment; base URL, model, and interface type have shared chat defaults.

Agent Configuration Integration

The agent can automatically read parameters from openclaw.json without manual input:

| CLI Parameter | openclaw.json Field | Example | |-----------|-------------------|--------| | --base-url | providers.<name>.baseUrl | https://api.anthropic.com | | --llm-type | providers.<name>.api | anthropic-messages / openai-completions | | --vlm-type | providers.<name>.api | anthropic-messages / openai-completions | | --model | providers.<name>.models[].id | claude-sonnet-4-6 | | --api-key | providers.<name>.apiKey or env var | sk-cp-... |

Note: --llm-type and --vlm-type share the same providers.<name>.api field and are used by LLM and VLM tools respectively.

Mapping between provider.api and interface type:

| api Value | Corresponding --llm-type / --vlm-type | Endpoint Path | |--------|----------------------------------|---------------| | anthropic-messages | anthropic-messages | /v1/messages | | openai-completions | openai-completions | /v1/chat/completions | | openai-responses | (future extension) | /responses |

Mapping Between base-url and Interface Type

Different API types have different requirements for base-url format:

| Type | --llm-type / --vlm-type | Recommended base-url | Code Appended Path | Final URL Example | |------|------------------------------|---------------|--------------|---------------| | LLM | openai-completions | https://token.sensenova.cn/v1 | /chat/completions | https://token.sensenova.cn/v1/chat/completions | | LLM | anthropic-messages | https://api.anthropic.com/v1 | /messages | https://api.anthropic.com/v1/messages | | VLM | openai-completions | https://token.sensenova.cn/v1 | /chat/completions | https://token.sensenova.cn/v1/chat/completions | | VLM | anthropic-messages | https://api.anthropic.com/v1 | /messages | https://api.anthropic.com/v1/messages |

Note:

• Recommended chat base URLs include the provider API version path, for example /v1.
• For compatibility, if the configured chat base URL has no path, the runner appends /v1/chat/completions or /v1/messages.
• If the configured chat base URL already has a path such as /v1, the runne