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dsh-llm-auto

DeepSeek Harness host plugin registering an auto model router with ordered fallback chains, transient retries, and compaction window alignment.

UI & ProductivityTerminal & TUIDeveloper ToolsSecurity & Policy
0GitHub Stars0ForksUpdated2026-10-12

Install

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Plugin Overview & Capabilities

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dsh-llm-auto is an installable DeepSeek Harness (DSH) host plugin and bundle that registers a virtual 'auto' model in the model selector. It automatically routes LLM requests through a configurable ordered chain of provider+model pairs. When a provider fails before producing output, it initiates exponential-backoff retries for transient errors and silently switches to the next fallback route. The plugin also handles context compaction window recalculation (compactWindow), cross-route thought reasoning stripping/preservation, silent switch model change notifications, and embeds a client UI slot for runtime fallback visualization and settings configuration.

Key Capabilities

  • Registers a virtual 'auto' model routing layer within DeepSeek Harness
  • Ordered multi-provider fallback chains with transient error retry policies
  • Compaction window calculation and alignment (compactWindow) to steer DSH auto-compaction
  • Sanitization of reasoning blocks across route transitions to prevent thought-text leakage
  • Appends model change notifications on silent route switches without modifying persistent session logs
  • Includes a browser client slot rendering settings forms and a read-only fallback chain inspector
  • Provides an HTTP diagnostic endpoint (/api/llm-auto/routes) for inspecting routing rings and attempts

Useful For

  • Aggregating multiple LLM provider subscriptions into a single resilient model endpoint
  • Preventing chat workflow disruptions caused by provider rate limits, 502 server errors, or outages
  • Maintaining stable context compaction thresholds across variable upstream model windows
  • Debugging and tracking multi-provider routing fallbacks through the DSH web interface

Who It Fits

  • DeepSeek Harness users requiring multi-provider failover and high availability
  • Developers configuring custom Cordis patches with automated model routing
  • Power users managing multiple LLM API quotas and endpoints

Documented Limitations

  • Does not dynamically route requests based on token pricing, prompt content, or modal routing
  • Once output streaming begins (content deltas), failures cannot be retried or routed to fallback models
  • Routing call histories are stored in volatile host memory and reset upon DSH restart
  • Compaction window recalculations assume standard compaction-basic engine constants

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

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Dependency Counts

package.json declares 0 runtime, 0 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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Source repository
liuyun847/dsh-llm-auto
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
450f918 · 2026-10-25

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

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Last commit
2026-10-12
Last release
No release detected
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