First-party app
Anthropic Anthropic

Anthropic

Call Anthropic's REST API — Claude messages, token counting, batches, files.

stable AI & Machine Learning

About

Anthropic ships in the w6w first-party pack. It declares 14 actions, 2 health checks, and the host runs its code in a sandbox that never sees the credential.

App id
io.w6w.anthropic
Version
0.2.4
Author
w6w
Licence
MIT
Categories
AI & Machine Learning

Overview

Anthropic connects a workflow directly to Claude — sending message-create calls for chat completions, and counting tokens ahead of a request so cost and context-window use can be checked before it is actually sent.

Message Batches are a first-class surface, not an afterthought: batches can be created, listed, polled, cancelled and their results pulled once complete, which is the right shape for processing large volumes of prompts asynchronously rather than issuing them one at a time. Files can be uploaded, listed, fetched and deleted for use as batch or message inputs, and models can be listed or looked up individually to keep a workflow’s model choice explicit rather than hardcoded.

Useful anywhere a workflow needs an LLM step — summarizing text, classifying content, or running a large batch of prompts against source data pulled from an earlier action — without wiring up a client library or handling batch polling by hand.

Build with Anthropic

Three routes to the same 14 actions. The Workflow tab is generated from Anthropic'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.

Cancel Message Batch

batch-cancel

Request cancellation of an in-progress Message Batch.

Create Message Batch

batch-create

Submit a batch of Message creation requests for async processing.

Delete Message Batch

batch-delete

Permanently delete an ended Message Batch.

Get Message Batch

batch-get

Retrieve status and per-request counts for a Message Batch.

List Message Batches

batch-list

List every Message Batch in the account (paginated).

Get Message Batch Results

batch-results

Fetch the per-request results for a completed batch (JSONL decoded to an array).

Count Tokens

count-tokens

Count the input tokens a given prompt would consume against a Claude model.

Delete File

file-delete

Delete an uploaded file. Beta: files-api.

Get File

file-get

Retrieve metadata for one uploaded file. Beta: files-api.

List Files

file-list

List every uploaded file (paginated). Beta: files-api.

Upload File

file-upload

Upload a file for use in a Message (referenced by file_id). Beta: files-api.

Get Model

get-model

Retrieve metadata for a single Claude model.

List Models

list-models

List every Claude model available to the current API key.

Create Message

message-create

Send a structured list of messages to Claude and get a completion.

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 Anthropic's real ids.

{
  "manifestVersion": "2",
  "name": "anthropic-example",
  "steps": [
    {
      "id": "batch-create",
      "uses": {
        "app": "io.w6w.anthropic",
        "action": "batch-create",
        "connection": "conn_YOUR_CONNECTION_ID"
      },
      "with": {
        "requests": "<requests>"
      }
    }
  ]
}

Here are some of the things you can do

  • Create Message Batch

    perform
    batch-create
  • Get Message Batch

    read
    batch-get
  • List Message Batches

    read
    batch-list
  • Get Message Batch Results

    read
    batch-results
  • Count Tokens

    read
    count-tokens

+9 more actions 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 Anthropic, 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 Anthropic. The Workflow tab is where this app's real ids are.

Install
npm install @w6w/sdk
yarn add @w6w/sdk
pnpm add @w6w/sdk
deno add npm:@w6w/sdk
Code
import { 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: "message-create",
  payload: {
    model: "<value>",
    messages: "<value>",
    max_tokens: "<value>",
    // system: "<value>",
    // temperature: "<value>",
    // top_p: "<value>",
    // top_k: "<value>",
    // stop_sequences: "<value>",
    // tools: "<value>",
    // tool_choice: "<value>",
    // metadata: "<value>",
    // stream: "<value>",
  },
});

if (isActionRun(envelope)) console.log(envelope.value);
Install the CLI
npm install -g @w6w/cli
CLI
w6w run conn_YOUR_CONNECTION_ID --action message-create --payload '{"model":"<value>","messages":"<value>","max_tokens":"<value>"}'

Give an AI agent Anthropic — without giving it Anthropic'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.anthropic#batch-create",
    "input": {
      "requests": "<requests>"
    }
  }
}

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 Anthropic connections to sign with, and refuses rather than guesses when the answer is ambiguous.

What the agent gets

Credentials it can't read

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.

A tool surface scoped to the caller

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.

A durable workflow in one call

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.

Health-aware discovery

Anthropic'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. Anthropic itself is MIT, and the runtime that executes it is source-available (FSL).

Request MCP access

Health checks

Anthropic declares its own checks, so its health is a property of the app rather than something the host guesses at.

service

Anthropic platform status

Atlassian Statuspage rollup for status.anthropic.com, with per-component detail. Unauthenticated and unsigned.

quota

API rate-limit headroom

Requests-per-minute and tokens-per-minute remaining, read off the response headers.