@dsh-plugin/dsh-auxiliary

Configuration

All fields are optional; defaults are shown.

- name: '@dsh-plugin/dsh-auxiliary'
  config:
    vision:
      maxTokens: 2048                      # inspect_image output cap (provider/model written by the settings page)
      handoff: true                        # text-only main models may reference chat images via describe_image
    tool:
      enabled: true                        # register the inspect_image tool
      maxImageBytes: 10485760              # per-file size cap
      timeoutMs: 120000                    # cooperative tool-call budget
    compact:
      enabled: false                       # reroute compaction summaries to an auxiliary model
      provider: ""                         # e.g. deepseek-official (a registered provider route id)
      model: ""                            # e.g. deepseek-chat (a model id on that provider)
    approve:
      enabled: false                       # give @dsh-plugin/dsh-approve-for-me's reviews a dedicated model
      provider: ""                         # e.g. deepseek-official (a registered provider route id)
      model: ""                            # e.g. deepseek-chat (a model id on that provider)
    subagent:
      enabled: false                       # route delegated subagents to a dedicated model
      provider: ""                         # e.g. deepseek-official
      model: ""                            # e.g. deepseek-chat
    title:
      enabled: false                       # route session-title calls to a dedicated model
      provider: ""                         # e.g. deepseek-official
      model: ""                            # e.g. deepseek-chat
    imagegen:
      enabled: false                       # register generate_image with a dedicated image model
      provider: ""                         # e.g. lanqin-gpt (an OpenAI-compatible provider route)
      model: ""                            # e.g. gpt-image-2 (marked Allow image generation)
    engine:
      enabled: false                       # optional compression engine (mutually exclusive with dsh-compaction-basic)
      thresholdRatio: 0.8
      retainRatio: 0.16
      maxTokens: 8192
      compactionRetries: 1
      maxOverflowRetries: 1
      auto: true
      compressPrompt: "..."                # custom compression instruction

Settings page: Auxiliary Models

The plugin ships a web settings section (Settings → Auxiliary Models). Configure providers and models in the Models page first, then use the feature cards here: each card has its own enable switch and provider/model picker. The picker presents all currently available models together, grouped by provider (the image-generation card lists only models marked Allow image generation). A saved route that is temporarily absent from the catalog is kept and is never replaced automatically.

Marking models in the catalog

For a user-configured llm-pi-ai model, open its model settings under Settings → Models → Provider → Customized settings → Models → Model settings:

• Allow image input writes the canonical input declaration ([text, image] when checked, [text] when cleared) — consumed by inspect_image and the main chat composer. Enable only when the upstream endpoint actually accepts images.
• Allow image generation writes imageGeneration: true — the mark that makes the model selectable in the Image-generation model card. Enable only when the upstream endpoint actually generates images.

The checkboxes are injected into every user-owned llm-pi-ai model row and are always visible — no need to expand the row's capacity disclosure. A model you are adding gets working checkboxes immediately: the marks are recorded in the browser and written into the model's settings at the same time the page saves the new model (Apply), so you can set image capabilities while adding, not only after saving. Rows that cannot carry the marks explain why instead of staying silent: DeepSeek-official (or any non-pi-ai adapter) rows show a notice that the marks are llm-pi-ai-only, and pi-ai catalog rows not yet saved into the user section say to save the model first.