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omdsh-dev/dsh-llm-fallbacks
dsh-llm-fallbacks is a tool for DeepSeek Harness. An dsh plugin for role-based LLM retry&fallback strategy. Role-based model retry&fallback strategy plugin

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
Well-documented, actively maintained fallback plugin that solves real LLM outage pain; install if you use dsh.
README documents a built dist/ package with no build step on target, TypeScript source, pinned versions, and a --dump-config verification path, but no test or CI evidence is shown.
No download-and-execute or plaintext-secret patterns appear; config lives in the shared $DSH_HOME/settings.yaml, though permissions and credential handling are not described.
Addresses a genuine pain point by switching provider/model on retries-exhausted, auth, quota, and 429 failures so tasks continue uninterrupted, with role-based and time-slot routing.
Last updated 2026-08-26, not archived, MIT licensed, and README references a specific DSH 0.1.5-rc.1 compatibility target plus dsh-tui >= v0.8.5.
README covers install for both web and dsh-tui profiles, three configuration surfaces, a minimal YAML example, time-slot preset tables, and links to docs/install.md and docs/configuration.md.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Open repositoryINSTALL REFERENCE
dsh plugin --profile web add dsh-llm-fallbacksThis command was extracted from an explicit README install reference and is display-only; the DSH host will not execute it automatically.
PROJECT TOPICS
VALIDATION LADDER
FAQ
An dsh plugin for role-based LLM retry&fallback strategy. Role-based model retry&fallback strategy plugin
dsh-llm-fallbacks has 20 stars and 2 forks on GitHub, last updated 2026-09-23.
dsh-llm-fallbacks is distributed under the MIT license.
dsh-llm-fallbacks is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
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