dsh-llm-rate-limit
LLM API rate limiting, concurrency control, queuing, and adaptive cooldown for DeepSeek Harness
944 results
LLM API rate limiting, concurrency control, queuing, and adaptive cooldown for DeepSeek Harness
DSH LLM adapter that transcribes native image attachments with Codex Luna before delegating to DeepSeek
长任务编排引擎。接收任务→模块装配(steps.json 装配表 + minds.json)→两层审计→机械化执行。触发词:长任务、编排、拆解任务、多步骤执行、任务流水线、编排引擎。
Quota monitor for the DeepSeek Harness Web GUI: OpenCode Go plan usage + DeepSeek API balance/usage + MiniMax Token Plan, as a draggable bottom-left monitor window. P0: self-metered token ledger (llm/stream waterfall, own JSONL). P1: multi-provider abstractions (balance/windows kinds, presets, configurable parsers) and bundle-type packaging.
通过三方多模态 API 为纯文本 LLM 提供图像理解与文档理解能力(OCR、表格、公式、 版面解析、PDF/扫描件→Markdown、截图/照片/图表问答)。使用场景:用户粘贴或给出 图片/PDF 路径时解读内容、从文档提取文字与表格、对截图提问、发票/论文/票据解析。 触发词:图片理解、OCR、文档解析、截图内容、PDF 提取、表格识别、公式识别、票据识别、 扫描件、image、vision。实现为 Python 标准库 CLI(urllib/json/base64),零三方依赖。
DeepSeek Harness 宿主插件:让不支持图片输入的纯文本主模型也能"看图"(describe_image 工具 + 图片标记替换)
对话目录尾栏 + 回溯:对话列右侧的轻量 TOC Tail,把每条用户请求压缩为一条横线形成纵向时间轴;目录面板支持一键回溯到任意用户请求节点(折叠其后的对话,可选 LLM 总结与代码状态恢复)。
Context compression for DeepSeek Harness: engineer-handoff-note summarization backed by dsh-compaction-basic.
Real-time repetition guard for DeepSeek Harness (DSH): stops model generation when the same string repeats >=10 times in the streamed output. 实时检测 DSH 大模型流式输出中的重复内容,同一字符串重复十次以上立即停止生成。
FriendliAI serverless LLM adapter for DeepSeek Harness — OpenAI-compatible chat completions with dynamic model discovery and reasoning support
Cron-based scheduled task plugin for DeepSeek Harness (dsh): pure UI management, zero LLM tools, cross-session timer, multi-level notifications.
Kiro CLI (ACP) adapter for the DeepSeek Harness LLM seam
WinAgent 的 DSH Web 插件:在 DSH 里使用 Windows 操作 Agent(OpenAI 兼容 API / 本地 Ollama,53+ Windows 工具,skills 与 MCP 挂载,LLM Wiki 个人知识库)
Google Antigravity / Cloud Code Assist model provider for DeepSeek Harness (DSH Desktop Beta Compatible)
Sync cc-switch provider profiles (Claude Code / Codex relays) into DeepSeek Harness as llm-pi-ai routes, credentials stored via the DSH credential seam.
dsh-langfuse: Langfuse LLM observability for DeepSeek Harness — one OpenTelemetry trace tree per agent session, with feedback scores and subagent lineage.
Cross-session persistent cost ledger for DeepSeek Harness: logs every LLM token usage to SQLite and exposes record/query/budget tools. Built-in DeepSeek pricing, overridable via config.
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。
DSH harness bundle/plugin: tolerate OpenAI-compatible providers whose streaming responses omit finish_reason (e.g. the Snowflake Cortex gateway) so turns complete instead of failing with a TRANSPORT error.
Two-stage intent and evidence review, deterministic completion gates, and bounded repair for DeepSeek Harness agents
DeepSeek Harness plugin: use your own Claude and ChatGPT/Codex subscriptions as model providers, over each vendor OAuth flow
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
Bridges vendor agent SDKs into DeepSeek Harness as selectable LLM providers. Works in any DSH mode; DSH keeps its own prompt, tools, sandbox and approvals.
Explain failed DeepSeek Harness agent runs locally, then produce a redacted recovery plan. No model required.