Chat completions, embeddings, and model/usage introspection via OpenRouter's unified LLM API.
OpenRouter ships in the w6w first-party pack. It declares 6 actions, 2 health checks, and the host runs its code in a sandbox that never sees the credential.
io.w6w.openrouterOpenRouter fronts 400+ models from dozens of providers behind one OpenAI-compatible chat-completions endpoint, so a workflow can call openai/gpt-5.2, anthropic/claude-sonnet-4.6 or any other listed model through the same request shape and the same credential — including OpenRouter-only routing controls such as an explicit model-fallback list, provider preferences, and plugins (web search, PDF parsing) layered on top of the normalized request.
Embeddings are exposed the same way, unified across providers behind one endpoint. Models can be listed and filtered (by category, price, context length, supported parameters) to keep a workflow’s model choice explicit and current instead of hardcoded. Because every chat completion is billed and metered centrally, a generation’s exact token counts and cost can be pulled back after the fact by id — useful for auditing spend per workflow run — and the connected key’s own credit limit and usage can be checked before it runs out mid-workflow.
A fit for a workflow that wants model choice as a runtime decision rather than a deploy-time one — routing a step to whichever model is cheapest, fastest, or best for the task — without integrating a separate app per LLM vendor.
Three routes to the same 6 actions. The Workflow tab is generated from OpenRouter's own manifest and carries its real ids, so it is copy-pasteable; the Code and CLI examples are the same call for any action on any app, so every app-specific value in them is a blank you fill in.
chat-completion Generate a chat completion from any model OpenRouter routes to, using one normalized request shape.
embeddings Generate vector embeddings for text (or, on supporting models, images).
get-credits Get total account credits purchased and used. Requires a Management API key connection (see this app's README) — a regular inference key is rejected here.
get-generation Fetch cost and usage metadata for a past chat completion or embedding call.
get-key-info Get usage, credit limit, and remaining headroom for the connected API key.
list-models List models available through OpenRouter, optionally filtered by category or name.
A workflow step names the app and the action, and the editor fills in the
connection when you pick one. This is the Step shape from the
workflow spec, carrying OpenRouter's real ids.
{
"manifestVersion": "2",
"name": "openrouter-example",
"steps": [
{
"id": "chat-completion",
"uses": {
"app": "io.w6w.openrouter",
"action": "chat-completion",
"connection": "conn_YOUR_CONNECTION_ID"
},
"with": {
"messages": "<messages>"
}
}
]
}chat-completion embeddings get-credits get-generation get-key-info +1 more action available
Every app-specific value here is a blank you have to fill in. An
app action is reached through the connection that authenticates it, so the
address is a connection id, not the app id — and connections belong to your account,
so a public page cannot know yours. Create one for OpenRouter, then fill in
the three blanks: conn_YOUR_CONNECTION_ID, the action key, and the
parameters that action declares. The call itself is real — the shape is transcribed
from the studio's own snippet builder, which prints the same kind of blanks — but
nothing in it is specific to OpenRouter. The Workflow tab is where this app's
real ids are.
npm install @w6w/sdkyarn add @w6w/sdkpnpm add @w6w/sdkdeno add npm:@w6w/sdkimport { W6wClient, isActionRun } from "@w6w/sdk";
// Reads W6W_BASE_URL and W6W_TOKEN from the environment when omitted.
const client = new W6wClient();
const envelope = await client.run({
urn: "conn_YOUR_CONNECTION_ID",
action: "chat-completion",
payload: {
// model: "<value>",
messages: "<value>",
// temperature: "<value>",
// topP: "<value>",
// topK: "<value>",
// frequencyPenalty: "<value>",
// presencePenalty: "<value>",
// repetitionPenalty: "<value>",
// minP: "<value>",
// topA: "<value>",
// maxTokens: "<value>",
// seed: "<value>",
// stop: "<value>",
// responseFormat: "<value>",
// logitBias: "<value>",
// tools: "<value>",
// toolChoice: "<value>",
// parallelToolCalls: "<value>",
// plugins: "<value>",
// models: "<value>",
// route: "<value>",
// provider: "<value>",
// user: "<value>",
},
});
if (isActionRun(envelope)) console.log(envelope.value); npm install -g @w6w/cli w6w run conn_YOUR_CONNECTION_ID --action chat-completion --payload '{"messages":"<value>"}' Give an AI agent OpenRouter — without giving it OpenRouter's credentials. One MCP endpoint exposes every app, function and workflow the caller is entitled to, as tools it can discover and run. Access is granted per team while we onboard.
One tool call{
"name": "w6w_invoke",
"arguments": {
"ref": "app:io.w6w.openrouter#chat-completion",
"input": {
"messages": "<messages>"
}
}
}
Every tool names its target with a single ref. The
app: form above doesn't name a connection at all — the
host resolves which of the caller's OpenRouter connections to sign
with, and refuses rather than guesses when the answer is ambiguous.
The token is attached host-side, at the moment of the call. It is never a tool argument, never in the model's context, and never in a transcript — so a prompt injection has nothing to exfiltrate.
Tools are derived per end user from what that person has actually connected and is entitled to — not one shared bot identity carrying the union of everyone's access.
Multi-step work runs on the workflow engine and returns a run handle the agent can poll — retries, branching and state survive the conversation that started them.
OpenRouter's declared health checks are on the surface too, so an agent can tell "the vendor is down" from "your credential expired" before it burns a retry on either.
The MCP surface is part of the hosted platform. OpenRouter itself is MIT, and the runtime that executes it is source-available (FSL).
OpenRouter declares its own checks, so its health is a property of the app rather than something the host guesses at.
This key's own credit limit and remaining headroom, read from GET /key.