Saktawdi/dsh-ha-orchestrator

README 摘要

HA Orchestrator HA Orchestrator is a plugin for DeepSeek Harness (dsh): - When a model call fails mid-run, it retries on a backup model and the run continues. - It adds an orchestrate tool that the model calls on its own when a task suits it, splitting work across subagents in parallel ( fanout ), in stages ( pipeline ), or with a review pass ( supervisor ). The settings page also lets you define custom subagents (or generate one with AI), and the UI and prompt copy are available in Chinese and English, following your DSH language. 简体中文 What it does Failover when a model fails - When a model request errors, it is retried on the next backup model. Backups are tried in order. - The failed model is temporarily skipped and cools down; it comes back on its own when the cooldown expires. - Each failure episode has a retry budget. Once it is spent, the plugin stops retrying instead of looping forever. - If a model error interrupts the run, the plugin restarts the task once so the work is not lost. Backup models, cooldown, failure threshold, and error-code filter are configurable in Settings → "HA 与编排". Orchestration, triggered automatically The orchestrate tool is available in every sessi…

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