274 results
dsh plugin: vision capability proxy. Routes image understanding for text-only main models to a small multimodal model, and backs off entirely when the active model declares multimodal support (inputModalities includes 'image').
为 dsh-tool-vision 桥接导出的图片提供对话内联预览:用户粘贴的图片在气泡中显示缩略图,不改变桥接文本与模型行为
Remote SSH workspace and closed-loop deployment Agent for DeepSeek Harness: SSH Files, terminal, remote editing, zero-to-one Bootstrap, Runbooks, automation, Vision/OCR and safe recovery.
DSH plugin: a persistent, per-session Python interpreter provisioned with Biomni's biomedical tool library, plus a Settings section that reports what the interpreter can actually do.
DSH vision bridge (DSH >= 0.1.2-rc.1): when the selected chat model is text-only, attached images are described by a local Ollama VL model (qwen3-vl:8b) with keep_alive VRAM cooling. Install-time patch of dsh-api-session-controller prompt admission + runtime status companion.
DeepSeek Harness plugin: auto-route image-bearing requests to deepseek-v4-flash-vision-exp, then fall back to the original model.
Per-model vision (image input) toggle for DeepSeek Harness (dsh): list every configured model and flip a switch to enable/disable image support without hand-editing settings.yaml. 为 DeepSeek Harness 提供按模型的「支持图片」开关：无需手改 settings.yaml。
DSH plugin: auto-tiles oversized chat images into labelled grid pieces (row/col metadata, overlap-aware, multi-image group isolation) so the DeepSeek vision model keeps fine detail instead of the ~800px downsample.
Model pricing and capability board for DeepSeek Harness: compare per-1M-token prices, find the cheapest route, and see coding/agentic/vision tags for every LLM you can connect — in the DSH settings UI.
DeepSeek Harness 原生视觉 Bundle：粘贴或拖入图片，通过托管的 deepseek-vision-mcp 调用 OpenAI 兼容视觉模型。
DeepSeek brain + automatic image transcription for DeepSeek Harness: a deepseek-vision provider route that transcribes attached images to text before delegating to the text-only DeepSeek adapter. Official deepseek-v4-flash-vision-exp by default (a pure-te
DeepSeek Harness plugin: upload/paste images in the chat box; on send, transcribe via a vision model (dashscope) or offline Windows OCR, then inject the description into the message as 【解析了提供图片，图片内容是<描述>】.
Zhipu BigModel capabilities for the DeepSeek Harness in one plugin: web_search_prime search provider, webReader fetch provider (server-side rendered), and GLM-4.6V vision (vision_analyze tool + pasted-image pre-step hook), all behind one ZAI_API_KEY
DSH 插件：通过硅基流动(SiliconFlow)视觉大模型识别/分析图片，支持本地文件路径、http(s) 图片 URL 与 base64 data URL。含持久化的粘贴识别面板（web 端）。
DeepSeek Harness plugin: multimodal tools (image/audio/video/document understanding, transcription, image generation) via Gemini API or the local Antigravity CLI.
Image generation for DeepSeek Harness: a generate_image tool with pluggable providers — the FAL queue API or any OpenAI-compatible images API. The picture is shown inline in the conversation; the model receives either a link (works with any chat model) or the image itself (needs dsh-vision-bridge or a vision-capable model).
DSH（DeepSeek Harness）图片一体化插件：粘贴图片只进对话不进模型请求（llm/stream 清洗），并注册 see_image 工具让文本模型通过任意 OpenAI 兼容视觉 API 按需看图
Vision recognition plugin for DeepSeek Harness: paste images into the composer, recognize them via GLM-4V on the host side, and inject the result into the conversation.
DeepSeek Harness plugin: bridge image-bearing messages to a user-configured OpenAI-compatible vision endpoint when the active text model cannot see images
辅助视觉模型：图片→文本描述，供文本模型、浏览器截图兜底与聊天贴图降级使用
WeChat Mini Program automated testing for DeepSeek Harness (dsh): selector-addressed actions, build-freshness gates, geometry-first assertions that work on text-only models, and screenshot image blocks on vision routes. 微信小程序自动化测试 dsh 插件：选择器寻址、构建新鲜度门、面向纯文本模型的几何断言、视觉路由附真实截图。
Document and image analysis tools for agent harnesses, powered by a local OpenAI Codex CLI.
DeepSeek Harness plugin: Codex image generation/edit/vision tools backed by the local codex-image-bridge skill.
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.