runway-dev-model-routers
This skill enables agents to build, modify, and debug Runway Model Routers for managing API calls across multiple models with credit caps and fallback policies.
Identity proven by GitHub's verified organisation badge (runwayml)
- Agents
- Claude Code
- License
- MIT (permissive)
- Pin
- e3dffc1pinned Oct 9, 2026
- Context cost
- about 670 tokenswhen the skill loads
- GitHub stars
- 72on runwayml/skills
- Scripts
- None found
What it does
“Build, modify, debug, or verify Runway Model Routers: inspect live config and eligible models via MCP, manage approved settings, integrate routed SDK calls, and inspect routing results. Use with +runway-dev. Not for direct per-model endpoints or agent REST CLI.”
Generated summary from the skill's own text
This skill enables agents to build, modify, and debug Runway Model Routers for managing API calls across multiple models with credit caps and fallback policies. It provides MCP tools to inspect live router configurations, eligible models, and routing results, then integrates routed SDK calls into applications. The skill works with the Runway Dev MCP connection to manage approved router settings.
When to use it
- Setting up or modifying a model router configuration with custom routing rules
- Verifying which model handled a routed generation task after execution
- Integrating routed SDK calls into an application backend
- Checking credit balance before proposing router capacity limits
When not to
- Calling individual model endpoints directly without routing
- Working with Runway APIs outside the Model Router framework
- Testing without Runway Dev MCP access to live router configs
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add runwayml/skills --skill runway-dev-model-routersInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install runwayml/skills runway-dev-model-routers@e3dffc15498e9588e7815f37b9ecf10e8bc2c902Installs the commit we checked (e3dffc1).
Copy by hand
Download the folder at e3dffc1 and put it in .claude/skills/runway-dev-model-routers for Claude Code and in .agents/skills/runway-dev-model-routers for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install runway-api@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "runway-dev-model-routers" by Runway. Source, pinned to commit e3dffc15498e9588e7815f37b9ecf10e8bc2c902: https://github.com/runwayml/skills/tree/e3dffc15498e9588e7815f37b9ecf10e8bc2c902/skills/runway-dev-model-routers 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/runway-dev-model-routers/ for Claude Code and .agents/skills/runway-dev-model-routers/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/runway/runway-dev-model-routers
SKILL.md at the pin
---
name: runway-dev-model-routers
description: "Build, modify, debug, or verify Runway Model Routers: inspect live config and eligible models via MCP, manage approved settings, integrate routed SDK calls, and inspect routing results. Use with +runway-dev. Not for direct per-model endpoints or agent REST CLI."
user-invocable: true
---
# Runway Dev — Model Routers
> **Companion:** Use `+runway-dev` for shared guidance when available. If it is not installed, inspect the workspace, probe `RUNWAYML_API_SECRET` without printing it, and read current docs. Encourage connecting Dev MCP to inspect or manage router configs. If the user declines or cannot connect, continue integration from current docs and an existing `configId`.
## Goal
Keep a Model Router and its application integration correct. Verify changes with one routed SDK call (`client.generate.{video|image|audio}.create({ configId, input })`) when safe.
## MCP tools
- `list_model_routers` / `get_model_router` — find a router by `configId`, then inspect it using the returned record UUID.
- `list_models` — inspect eligible models and capabilities.
- `create_model_router` / `update_model_router` / `delete_model_router` — manage routers after user approval; updates replace the full configuration.
- `get_credit_balance` — check budget before proposing credit ceilings or testing.
- `get_task_routing` — explain which model handled an existing routed task.
## New router
1. `list_models` across relevant endpoints — do not guess eligible models or capabilities.
2. `get_credit_balance` — understand budget before proposing credit ceilings.
3. Propose: name, immutable `configId` slug, description, routing preference, model-list policy, capacity fallback, optional credit caps. **Wait for user approval** unless they supplied all fields.
4. `create_model_router`, then `update_model_router` for settings if needed.
5. Validate the intended payload with HTTP `dryRun: true` before a billable generation; the SDK does not currently support dry runs.
6. When billable verification is appropriate, make one routed SDK call with the wait helper chained directly from `create()`, then use `get_task_routing` to explain which model ran.
## Existing router
1. Use `list_model_routers` to resolve the application's `configId` slug to a router record, then call `get_model_router` with its UUID.
2. Clarify integration goal (wire into app vs test call).
3. Implement the routed generate call behind the application's server boundary per https://docs.dev.runwayml.com/model-routers.md, chaining the SDK wait helper directly from `create()`.
4. Validate the same payload with HTTP `dryRun: true` before any billable verification.
5. After an approved live test, use `get_task_routing` to confirm which model ran.
## Terminology
- Router record **id** (UUID) ≠ **configId** (immutable slug used in SDK `configId` field).
## Docs
- https://docs.dev.runwayml.com/llms.txt (model routers section)
- https://docs.dev.runwayml.com/model-routers.md
From runwayml/skills at e3dffc1, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.
View SKILL.md on GitHub at e3dffc1Files
- SKILL.md3.0 KB · 2f3223f01adb
1 file, 3.0 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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