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Route tasks to local Ollama models or cloud APIs based on triage output. Health-check aware with automatic cloud fallback.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Branch, commit, push, and open PRs with humanized messages, then monitor GitHub Actions CI. Per-project autonomy gating; blocks direct pushes to the default branch and pushes with a dirty tree. Never auto-merges.
Dispatch patterns for Claude Code as the coding engine. Default harness. Implementation dispatches go through dispatch_coder.py (writes the dispatch receipt the commit gate requires).
Testing strategy, TDD enforcement, spec compliance, and regression checks.
Write implementation plans: bite-sized tasks for coding engine dispatch.
Automated fix loop for failed Quality/Reviewer checks. Parses failures, builds escalating prompts, dispatches through the active harness up to 3 times.
Run independent, file-disjoint plan tasks concurrently, each isolated in its own git worktree + branch. Collects per-task results; never auto-merges.
| name | local-model-router |
| description | Route tasks to local Ollama models or cloud APIs based on triage output. Health-check aware with automatic cloud fallback. |
| version | 1.0.0 |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["routing","ollama","local-model","cloud","dispatch","cost-optimization"],"related_skills":["complexity-triage","humanizer-gate","skill-discovery"]}} |
Status: paused. Per the standing "no local models for now" directive (current machine too slow; revisit on capable hardware), do not route any work to local models. All dispatches and LLM-backed support passes go through the active cloud coding harness (
coding.default_engine, override with--engine). The routing logic below is retained for when local models are re-enabled; until then, treat every task as cloud-routed and ignorelocalrecommendations from triage.
Route coding tasks between local Ollama models and cloud APIs based on complexity triage results.
Before routing to local, always verify Ollama is healthy:
terminal(
command="python3 ~/.hermes-coder/scripts/ollama_manager.py health",
workdir="~/.hermes-coder",
timeout=10
)
Exit 0 = healthy, proceed with local routing. Exit 1 = unhealthy, route everything to cloud.
Local model routing applies to:
--api-base and -m flags)For claude-code dispatches, the model always uses Anthropic's cloud API. Triage output informs --max-turns and skill injection but does not change the model.
When larger models are added (gemma4:27b, qwen3-coder:30b), update:
config.yaml ollama.models section with new entrytriage.routing.local_sizes to include Mscripts/ollama_utils.py MODEL_REGISTRY with new capabilities