275 results
Give text-only DeepSeek-V4-Pro real vision with zero new dependencies and DeepSeek-only routing: images are described by deepseek-v4-flash-vision-exp (your existing DEEPSEEK_API_KEY), then the text is handed to V4-Pro.
DeepSeek Harness plugin: route an agent request to a vision model (deepseek-v4-flash-vision-exp) when the user message contains an image, and keep the original model otherwise.
DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.
包拆拆 for DeepSeek Harness: video → script / storyboard / style guide. Uses the session model (recommend deepseek-v4-flash-vision-exp); never ships its own API keys.
DeepSeek 余额实时显示插件(含视觉模型): 在 dsh Web UI 输入框下方的统计条实时显示账户余额与本次对话的估算消耗, 内置 deepseek-v4-flash / deepseek-v4-pro / deepseek-v4-flash-vision-exp 官方峰谷定价
dsh web 插件：自动配置模型思考档位与能力，并按 provider+model 记住最后选择的思考档位
DSH plugin (DeepSeek vision bridge): give text-only agents vision through chat.deepseek.com's unofficial vision mode — WeChat-QR/password login in Settings, a deepseek_vision model tool, and automatic in-chat image transcription.
Persistent rembg GPU background-removal tool (remove_background) for DeepSeek Harness, in the dsh-vision-toolkit bundle form.
Two-tier image reading for text-only models in DeepSeek Harness: fast local OCR (RapidOCR, offline) first, then a vision model via modlens as fallback.
Model-facing describe_image + extract_text tools for the DeepSeek Harness web GUI: gives a text-only model reliable image understanding and OCR through an OpenAI-compatible vision endpoint, with critical-inspection prompts, auto-preprocessing, retries, and a persistent answer cache.
Image auto-describe provider for the DeepSeek Harness apiproxy admission seam: transcribes pasted images through configurable vision routes (Qwen first, GLM fallback) so text-only session models still receive image prompts.
Seamless image understanding for DeepSeek Harness: lets pure-text models read pasted/dropped images and Feishu/Lark images via a configurable vision model, without touching the host.
MiniMax CLI bridge for DeepSeek Harness (dsh): mmx-backed web search fallback and transparent image understanding, with first-run onboarding and a settings card.
给 DeepSeek Harness 加视觉能力：可视化设置页选视觉厂商（Kimi/智谱/通义/OpenAI/Gemini/豆包/MiniMax/阶跃星辰）并粘贴 API Key，聊天里即可拖图识别——图片走视觉模型、文字走 DeepSeek 推理。
当用户需要在 dsh web 中配置、修复或验证“图片 → 其他 VLM 识图 → 返回 DeepSeek 输出”的路由（视觉桥接）时使用。包含安装、配置、凭据、重启、验证与回滚的完整步骤。安全红线：严禁泄露、打印或提交任何 API Key。
Display companion for dsh-vision-router: keep Auto Vision routing, and put a square picture button on each original model row. Does nothing unless dsh-vision-router is installed.
Model-facing accurate_vision tool: precise image spatial reasoning via a vision model
视力屈光度
Local OCR for DSH: handwritten Chinese and math formulas to Markdown with LaTeX. GPU (DirectML) / CPU / NPU backends, settings-driven, one-click install.
Automatic reasoning and image capability detection for custom DeepSeek Harness models
Keep native vision, drop historical images before they hit relay providers. Global DeepSeek Harness bundle for every agent.
DeepSeek Harness 视觉助手插件：给没有视觉能力的模型配一个可随时切换的多模态识别模型。输入框图片自动落盘并改写为文本提示，主模型调用 vision_recognize 工具即可完成看图；识别模型在 settings 的 vision-assist 命名空间热更新切换。
Workspace-owned durable process supervision, readiness checks, and a Runtime Center for DeepSeek Harness.
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