← DeepSeek Harness Plugins
DeepSeek Harness PluginManifest Valid

dsh-llm-fallbacks

Role-based LLM retry, time-slot routing, and fallback chains for DeepSeek Harness agents.

Developer ToolsSecurity & Policy
23GitHub Stars2ForksUpdated2026-10-25

Install

$ dsh plugin --profile web add dsh-llm-fallbacks # web profile (Settings → Fallbacks card)

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-llm-fallbacks is an installable DeepSeek Harness plugin providing automatic provider and model fallback chains. When an agent's LLM requests encounter exhaustion, quota limits, auth errors, or rate limits (429), it walks configurable fallback chains to keep steps alive without manual intervention. It also supports wall-clock peak/valley time slot rotation, role-based subagent routing with persona injections, and works across both DSH web and terminal (dsh-tui) profiles.

Key Capabilities

  • Automatic model failover across provider chains on failure codes (AUTH, QUOTA, RATE_LIMIT, CONTEXT_WINDOW_EXCEEDED)
  • Configurable recovery policies including cooldown expiry and half-open recovery modes
  • Time-slot based routing presets (peak and valley hours) to rotate effective root chains
  • Role-based subagent model routing and persona assignment via dispatch headers
  • Support for both Web UI settings cards and dsh-tui command diagnostics (/fallbacks, /settings)

Useful For

  • Preventing workflow interruptions during LLM API rate limits or service outages
  • Handling context-window overflow by dynamically failing over to larger context models
  • Routing requests to cost-effective models during peak/valley pricing windows
  • Assigning specialized models and personas to subagents and teammates automatically

Who It Fits

  • DeepSeek Harness developers and power users needing resilient LLM provider failover
  • Teams managing multi-agent setups with specialized subagent model requirements
  • Developers seeking automated rate-limit and quota mitigation

Documented Limitations

  • Requires DeepSeek Harness runtime environment with Node.js >=22
  • All-day root chain must terminate with an official DeepSeek model
  • Subagent model selection is constrained by the host dsh subagent-model-selection allowlist

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

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 33 development, 26 peer, and 0 optional dependencies.

info
Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

info
Package Manifest Available

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

info
Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

info
Source Available

Public GitHub source metadata is available for this registry snapshot.

info

Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
omdsh-dev/dsh-llm-fallbacks
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
cba0c87 · 2026-10-26

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

GitHub stars
23GitHub stars
Forks
2
Open issues
0
Last commit
2026-10-25
Last release
2026-10-25
For maintainers

Maintaining this plugin?

This listing is generated from public repository data. If you maintain this project, you can review the information and share this listing with your users if you find it useful.

Add to README
Listed on DSHPlugin.app