Advanced Workflows

Advanced Workflows

Start simple. Add advanced workflows only after the team has validated the basics.

RouteLLM

RouteLLM can expose one OpenAI-compatible endpoint that routes actual requests between weak/routine and strong/heavy-lift models.

coding-scaffold setup addon --target ~/dev/my-project --addon routellm
coding-scaffold tools route --target ~/dev/my-project --backend routellm

Generated files:

• .coding-scaffold/ROUTELLM.md
• .coding-scaffold/routellm.config.yaml

Use RouteLLM when endpoint-level model routing matters. For simple explainable recommendations, use coding-scaffold tools select-model.

Context Compression

The built-in compressor writes token-saving sidecars for large knowledge bases without extra installation:

coding-scaffold context budget --target ~/dev/my-project --source team
coding-scaffold context compress --target ~/dev/my-project --source knowledge

Caveman Compression is optional when you want to try the upstream engine explicitly:

coding-scaffold setup addon --target ~/dev/my-project --addon caveman-compression
coding-scaffold context compress --target ~/dev/my-project --source knowledge --engine caveman

Use either path after the team has reviewed the source notes. Compressed sidecars are agent input, not the canonical record.

Open Multi-Agent

Open Multi-Agent is an optional workflow backend for repeatable TypeScript automation:

coding-scaffold setup addon --target ~/dev/my-project --addon open-multi-agent
coding-scaffold tools workflow --target ~/dev/my-project --backend open-multi-agent

Generated files:

• .coding-scaffold/OPEN_MULTI_AGENT.md
• .coding-scaffold/open-multi-agent.team.json
• examples/open-multi-agent/team-coding-workflow.ts

Recommended adoption path:

1. Validate the workflow interactively in OpenCode.
2. Capture it as a skill.
3. Run the generated workflow in plan-only mode.
4. Review permissions, traces, and verification signals.
5. Automate only after the team trusts the process.