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Unified image understanding plugin for DeepSeek Harness (DSH). Visual twin adapter for native thumbnails + auto-analysis on any text-only model (incl. pi-ai providers); privacy/smart/strict routing; local tools (scan/OCR×4 engines (windows/macos/paddle/rapid)/crop/palette/compare/batch); document-to-image (pdf/word/excel/ppt); local photo editing (image_edit: resize/rotate/filter/composite/watermark/background-remove/upscale etc, pure CPU); optional external VLM bridge.
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Context-window metadata catalog and settings UI for configured DeepSeek Harness model routes.
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为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位，并设置子 agent 默认思考强度。
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DeepSeek Harness plugin: make a custom llm-pi-ai provider route masquerade as Claude Code / Codex — spoofed client-identity headers, plus an opt-in request-body fingerprint for relays that gate on the body.
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让 provider 配置的 headers（如 User-Agent）真正到达 pi-ai 的 API 请求，并自动补全 opencode 身份头 —— 修复 OpenCode ZEN 免费模型 429（FreeUsageLimitError）与 400（MissingSessionID）：把请求识别为 opencode 客户端而不是 deepseek-harness
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Model Pro — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, smart routing, composites, observability, and per-model connectivity tests
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Generic LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model over its native wire protocol (OpenAI / Anthropic / Gemini) via the pi-ai SDK
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Google Anti Gravity and Cloud Code Assist Coding Plan LLM Provider plugin for DeepSeek Harness
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ChatGPT Codex, xAI Grok, Zhipu GLM, AWS Kiro, Google Antigravity, Cursor, Ollama Cloud, Kimi, and GitHub Copilot subscription OAuth for DeepSeek Harness — PKCE / device-code / Google login, local Responses proxy, llm-pi-ai sync.
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DSH web plugin: 为自定义模型（OpenAI-compatible pi-ai provider）增加思考强度（reasoning effort）配置 —— 设置页新增「思考强度」分区，按模型配置思考级别与线格式、按 provider 配置默认思考强度，直接写入 llm-pi-ai 设置，composer 模型选择器随即生效。
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DeepSeek vision bridge for the dsh web GUI: route image attachments to a vision model (pi-ai / llama.cpp Qwen3-VL) and continue the conversation with the text description on a text-only LLM (DeepSeek)
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Sync opencode-go models from https://models.opencode.ai/api.json into llm-pi-ai provider opencode-go-autosync (one-click create/update in settings).
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让 DeepSeek Harness 自动重试商汤 429/QUOTA 等瞬时网关故障直到任务完成——启动时给所有 llm-pi-ai provider 热注入加固版 retryPolicy，运行中新增的 provider 也会自动补上，再也不用手动发「继续」。
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Declare per-model reasoning efforts, image input, and openai-completions dialect on hand-declared llm-pi-ai routes. Writes the official namespace; does not intercept llm/stream or replace the Models page.
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Sync cc-switch provider profiles (Claude Code / Codex relays) into DeepSeek Harness as llm-pi-ai routes, credentials stored via the DSH credential seam.
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在 Settings 面板中为自定义 pi-ai 模型编辑推理等级（reasoningEfforts），支持多选、拖拽、复制粘贴，自动保存。
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Reuse the Codex CLI ChatGPT OAuth login in DeepSeek Harness through pi-ai's openai-codex provider.
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DSH 模型流式缺陷修复：opencode 聚合端点上 muse-spark-1.2 / gpt-5.6-luna 不发送 finish_reason/[DONE]，导致 pi-ai 每次对话结尾报 "Stream ended without finish_reason"（TRANSPORT）并触发重试。本插件在 llm/stream waterfall 上把「已输出内容但结尾被截断」的 finish 改写为正常 stop，直连即可使用，无需代理。
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DSH Web GUI 模型能力配置：在「设置 → 模型」的模型目录编辑器内，为每个已配置的模型直接设置是否支持图像与思考等级（reasoning efforts），写入 llm-pi-ai 设置命名空间。
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Zhipu AI BigModel and GLM Coding Plan LLM Provider model catalog plugin for DeepSeek Harness
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DeepSeek Harness (dsh) bundle that routes the harness through the OpenLLM gateway — an `openllm` provider on the in-box pi-ai adapter (via the local daemon gateway) plus the OpenLLM MCP server. Pure config; install OpenLLM first (see README).
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Sync CommandCode plan models (goat/pro/max) from the official models API + GOAT plan catalog into llm-pi-ai providers commandcode-<plan>-autosync (one-click create/update in settings).
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xAI and Grok Coding Plan LLM Provider model catalog plugin for DeepSeek Harness
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第三方模型思考努力度配置（DeepSeek Harness 插件）：在设置页为模型声明 reasoningEfforts 档位、路由默认档位与 Anthropic token 预算，写入 llm-pi-ai 命名空间；档位调节复用原生模型框 Effort 面板。