dsh-native-deepseek-balance
Native DeepSeek API balance and local token usage dashboard for DeepSeek Harness
95 results
Native DeepSeek API balance and local token usage dashboard for DeepSeek Harness
Delete sessions of a DeepSeek Harness profile from the UI: header danger button + session-row menu item with a risk-consent dialog; host endpoint + tool delete the log, projection cache and workspace accounting. Works in web and the desktop client alike.
DSH web plugin: show the DeepSeek API key's remaining balance, estimate usable tokens per model (peak/off-peak pricing + measured cache-hit ratio), and chart the real cost of every turn.
AgentFrame compaction backend for DeepSeek Harness: semantic + physical KV compression (28.4x) replacing LLM summarization
Plug-and-play proteomics analysis bundle for DeepSeek Harness: auto-managed R 4.4 runtime, step-wise traceable pipeline (normalize / PCA / batch / DEA / enrichment / GSEA), cached GO-KEGG annotation backgrounds.
A tiny dsh web plugin that shows the cache-hit rate with two decimal places in the chat stats line.
Token usage dashboard for DeepSeek Harness: cache, context, efficiency, per-step details, and cross-session comparison
DSH Auto Guard: a Claude Code Auto Mode-like command approval mechanism that adds an LLM safety net on top of full access, with rules, caches, file tracker, and sensitive path gates.
每日用量统计:在输入框下方显示当天 Token 用量(万/亿简化)与缓存命中率。Daily token usage & cache-hit stats for DeepSeek Harness.
DeepSeek API balance and local token usage dashboard for DeepSeek Harness
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
DeepSeek Harness web plugin that displays cache-hit rate with two decimal places
OpenCode Go billing layer for DeepSeek Harness (dsh): cached official pricing, proactive update checks, bill computation and a resident bill line in the web composer dock.
Cache-aware API token usage bar for the DeepSeek Harness Web UI
DeepSeek Harness plugin: one sidebar Usage/Balance popover combining multi-provider accounts with peak/off-peak per-call billing.
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.
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
DSH Web GUI 悬浮面板:当天 V4-Flash / V4-Pro 每百万 token 平均费用与缓存命中率
DSH web GUI plugin: real-time current-session cost line under the stats strip (official DeepSeek pricing), plus cache-hit percentage with 2 decimals and no stats-line truncation
DSH web plugin: a draggable ring-gauge dashboard pinned to the bottom-right that shows live model output speed (tok/s), with an expandable detail panel (per-step exact speed, TTFT, cache-hit rate, cache read/write, reasoning and input tokens, model, cumulative tokens).
把 N 次 LLM 调用压成 1 次 —— DeepSeek Harness(DSH)的极致调用压缩插件:标题短路 + 飞行去重 + 24h 回放缓存 + 批量归并。
DSH plugin: per-project LLM token usage and RMB cost (input / cache-hit / output) based on model standard prices.
Self-contained token usage statistics for DeepSeek Harness.
DSH profile bundle: @-mention files and directories of the current session's workspace in the composer — prioritized fuzzy search, arrow-key/Tab completion, plain-text mentions that can be copied or edited, per-workspace indexing with LRU cache, and durable settings.