How to actually call the Runware API correctly for any task - inspect the model's schema, send the right fields, run synchronously for images or asynchronous...
编程
Runware Models
试用Pick the right Runware model for a task and keep that choice current. Use when an agent needs to decide "which model for X", discover what's available, or ch...
它能做什么
Pick the right Runware model for a task and keep that choice current. Use when an agent needs to decide "which model for X", discover what's available, or check a model's capabilities, status, or price. Foundation skill - outcome skills delegate model choice here so nothing rots when the catalog changes.
技能文档
Choosing a Runware model
Runware's catalog is large and changes weekly. The rule: never hardcode a single model as the only answer. Start from a sensible default for the capability, then confirm it's live and current with a real lookup before running.
How to discover
- List / search the catalog (SDK, MCP
list_models/model_search, or CLI) filtered by capability and modality. Each model card carriesname,air,status,capabilities, pricing, and a headline. - Capabilities are tagged as
io:-to-andop::io:text-to-image,io:image-to-image,io:text-to-video,io:image-to-video,io:video-to-video,io:text-to-audio,io:audio-to-video(lipsync),io:image-to-3d,io:text-to-3d,io:text-to-text,io:image-to-text(vision).op:edit,op:remove-background,op:upscale,op:extend,op:vectorize,op:caption,op:mask,op:train, and the ControlNet preprocessors (op:depth-estimation,op:pose-estimation, …).
- Match the customer's outcome to a capability, then to a model.
Status matters
status tells you whether a model is usable: prefer live. Treat deprecated as replaced (check replacedBy), coming-soon / draft as not yet callable, unlisted as reachable only if you already have its ID.
Routing principles
- Default to a flagship for quality, offer a fast/cheap tier for drafts. Most families have both (e.g. a
[max]/protier and a fastklein/flash/turbotier). - Route by sub-task, not by brand. A single outcome often spans models: e.g. text-heavy images favor a model strong at typography; a premium still vs a fast draft are different picks.
- Cost-aware. Check the card's pricing (or dry-run via
runware-run) before a batch. - Hosted models carry a "Runware Optimized" marker - good defaults for reliability/price.
Quality bar
- The chosen model is
liveand actually supports the required capability (verified against its card, not assumed). - A cheaper/faster alternative was considered for drafts or high-volume runs.
Related skills
runware-run (call the model you picked), runware-prompting (prompt it well), and every outcome skill (each names its default routing, then defers here to confirm).
相关技能
Write effective prompts for Runware's image and video models. Use whenever an agent is composing a prompt and wants model-appropriate phrasing, in-image text...
Build a chat, reasoning, or tool-calling agent on top of Runware-hosted LLMs. Use when the user says "make an agent that can call my functions", "let the mod...
Use when the user asks what RunAPI models are available, compares models, needs pricing, asks for required fields, searches by modality, or wants a recommend...
Scan the machine for installed AI coding CLIs (claude, codex, gemini, copilot, opencode, ollama), detect whether each account is actually active and which models are usable, and cache the result to ~/.claude/model-inventory.json with role→model routing chains (planner/coder/scout/reviewer/fixer) that goal-runner and autopilot consume to pick the best available model per sub-agent while staying cost-efficient. Three evidence tiers — installed (binary found), likely-authenticated (zero-token credential heuristics), verified (a live one-line probe per model, the only ground truth for "account active and model on the plan"). Use this skill whenever the user says "scan available models", "which models can I use", "what AI CLIs are installed", "refresh the model inventory", "is fable available", "check my model access", or "/model-inventory" — even if they don't name the skill. Not for picking a model mid-task (consumers read the cached file, they don't rescan).
Agent skill recommender. Input a user need, task description, or existing skill list; output best matching skills, install rationale, duplicate/merge candida...