DSH Image Tools

Unified multi-provider image generation and editing for DeepSeek Harness through provider-neutral image-generate and image-edit tools backed by OpenAI Images-compatible services and the Google Gemini Interactions API.

Generated through image-generate as a 16:9 output.

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New users can redeem code 99F509ABC6C38F77 for promotional credit, subject to the provider's current terms.

Table of Contents

• Third-party Service Recommendation (Affiliate Link)
• Installation
• Usage
• Features
• Supported Protocols
• Migrating from dsh-image2-draw
• Assets and Metadata
• Failure and Billing Safety
• Contributing
• Tests
• Compatibility
• Support
• Acknowledgements
• License

Installation

Requirements

• Node.js 20 or newer; Node.js 24 LTS is recommended;
• Git;
• pnpm;
• DeepSeek Harness 0.1.0-rc.6.

Clone and run

This is the shortest path from git clone to a running Web UI and does not require a Harness source checkout:

git clone https://github.com/JuneLearn/dsh-image-tools.git
cd dsh-image-tools
npm install
npm test
npx --yes -p @deepseek-ai/dsh dsh plugin --profile web add .
npx --yes -p @deepseek-ai/dsh dsh web

The Web UI normally listens at http://127.0.0.1:3080.

Install directly from GitHub

To install without keeping a local checkout:

corepack enable
npx --yes -p @deepseek-ai/dsh dsh plugin --profile web add github:JuneLearn/dsh-image-tools
npx --yes -p @deepseek-ai/dsh dsh web

From a Harness source checkout at D:\deepseek-harness:

pnpm install
pnpm dsh plugin --profile web add github:JuneLearn/dsh-image-tools
pnpm dsh web

The package's dsh.bundle declaration mounts both the Host and Web client. No manual profile patch is required.

Usage

1. Configure an image service

1. Open Settings > Plugins > Configurable plugins > Image Tools.
2. Click Add service and select OpenAI, OpenAI Compatible, or Google Gemini in the dedicated editor.
3. Enter the service name, endpoint, API key, and model, then save.
4. Optionally test the saved URL, key, and model. Connection tests do not generate an image.

API keys are stored through DSH credentials and are never returned by the normal settings state. Services are ordered from highest to lowest priority.

2. Generate images

Once configured, there is no need to mention a tool, model, or parameter. Just describe what you want in the conversation:

Create a cute moe-style image of a blue whale maid.

DSH automatically calls image-generate and tries the configured services in order. You can also describe the quantity, composition, and quality naturally:

Create two high-quality 16:9 cinematic concept images of a futuristic city.

3. Edit images

After generating an image, continue naturally in the same conversation:

Change the background of the previous image to an underwater castle, but keep the character unchanged.

DSH automatically references the previous result and calls image-edit. You can also upload a local image from the current session working directory as a reference.

4. Manage service order

The settings list shows each service's name, type, model, key state, and row actions. Use the up and down controls to change failover priority. Adding or editing opens a dedicated detail view. An OpenAI-compatible relay without a model-list endpoint is reported as reachable but unverifiable.

Features

• Manage ordered image services, each with an independent API key and one configured model;
• Start from OpenAI, OpenAI Compatible, or Google Gemini presets;
• Generate, edit, use multiple references and masks, and run sequential batches of up to eight images;
• Use dimensions, aspect ratios, resolutions, quality, format, compression, and background controls when supported by the selected protocol and model;
• Preview results in the conversation and save them under outputs/images/;
• Reuse stable asset:image-* references and redacted JSON metadata;
• Fail over only on connection-class failures and avoid automatic retries for ambiguously billed requests.

Supported Protocols

Relay behavior and supported models vary. The plugin validates options before each request instead of silently dropping unsupported values. Gemini requests always set store=false and do not depend on vendor session state.

Migrating from dsh-image2-draw

This package uses a new settings namespace and does not import legacy settings, keys, tools, or result cards. Remove the old package before installing the new one:

npx --yes -p @deepseek-ai/dsh dsh plugin --profile web remove dsh-image2-draw
npx --yes -p @deepseek-ai/dsh dsh plugin --profile web add github:JuneLearn/dsh-image-tools

Recreate services under Settings > Plugins > Configurable plugins > Image Tools. API keys are not copied automatically.

Assets and Metadata

Each output produces an image and a same-name JSON sidecar:

outputs/images/image-YYYYMMDD-HHMMSS-xxxxxxxx.png
outputs/images/image-YYYYMMDD-HHMMSS-xxxxxxxx.json

The corresponding asset:image-YYYYMMDD-HHMMSS-xxxxxxxx can be resolved after a process restart. Exclusive writes and random suffixes prevent overwrites. Sidecars record the prompt, profile ID, protocol, model, request options, timing, dimensions, asset ID, and available non-sensitive revised prompt, request ID, and usage. They never contain API keys, complete response bodies, or headers.

Failure and Billing Safety

• Batches execute one image request at a time;
• Without an explicit profile, first-item network, timeout, 429, 5xx, authentication, or missing-key failures advance to the next service;
• Invalid inputs, capability mismatches, invalid references or masks, moderation, and cancellation do not trigger failover;
• Once a service produces an image, a later failure returns a partial result without switching services;
• An explicit profile disables failover;
• Timeouts and other ambiguously billed failures are never retried automatically.

Contributing

Reproducible bug reports, focused feature proposals, and scoped pull requests are welcome. Run the test commands below before submitting a change, and never include real API keys in tests, logs, or sample configuration.

Tests

npm install
npm test
npm pack --dry-run

Automated tests use mocked HTTP responses and never call a paid image API. Run live smoke tests only when explicitly enabled with dedicated credentials and low-cost prompts.

Compatibility

The plugin targets the public dual-end plugin, settings, credentials, attachments, tools, client slots, and WebServer interfaces in DeepSeek Harness 0.1.0-rc.6. Harness is still in Developer Preview; verify these interfaces and dsh.client.inject after a Harness upgrade.

Support

Open an issue in GitHub Issues. Include the Harness and Node.js versions, selected protocol, redacted error code, and reproduction steps. Never post an API key.

Acknowledgements

Parts of the attachment and result-card approach were adapted from the MIT-licensed dsh-multimodal. See THIRD_PARTY_NOTICES.md.

License

This project is licensed under the MIT License, matching the repository's LICENSE file.