**src/shared/clients/** に共有のHTTPクライアント(外部サービスとの通信機能)を作成して、Output SDKのワークフロー全体で活用します。 次のような場合に使用: - 外部のAPI(外部サービスの機能)と連携する - サービスのラッパー(外部機能をまとめたインターフェース)を作成する - HTTP通信の処理を統一・標準化する
Create shared HTTP clients in src/shared/clients/ for Output SDK workflows. Use when integrating external APIs, creating service wrappers, or standardizing HTTP operations.
This skill documents how to create shared HTTP clients for Output SDK workflows. Clients are stored in src/shared/clients/ and shared across all workflows to ensure consistent error handling, retry logic, and API integration patterns.
HTTP clients are stored in the shared clients folder:
src/shared/clients/
├── gemini_client.ts # Google Gemini API client
├── jina_client.ts # Jina AI client
├── perplexity_client.ts # Perplexity API client
└── {service}_client.ts # Your new client
Important: Clients are shared across ALL workflows. Do NOT create per-workflow HTTP clients.
src/shared/
├── clients/ # API clients (this skill)
├── utils/ # Utility functions & helpers
├── services/ # Business logic services
├── steps/ # Shared step definitions (optional)
└── evaluators/ # Shared evaluators (optional)
Use relative imports from workflow files to shared clients:
// CORRECT - Relative path from workflow steps.ts
import { GeminiImageService } from '../../shared/clients/gemini_client.js';
import { parseResumeWithJina } from '../../shared/clients/jina_client.js';
// From shared steps (if used)
import { JinaClient } from '../clients/jina_client.js';
// CORRECT - Use @outputai/http wrapper
import { createKyClient } from '@outputai/http';
// WRONG - Never use axios directly
import axios from 'axios';
// CORRECT - Import error types from @outputai/core
import { FatalError, ValidationError } from '@outputai/core';
// WRONG - Custom error classes
class MyCustomError extends Error { ... }
// CORRECT - Use @outputai/credentials for secrets
import { credentials } from '@outputai/credentials';
const apiKey = credentials.require('service.api_key');
// WRONG - Never use process.env for secrets
const apiKey = process.env.SERVICE_API_KEY;
// CORRECT - Attach spend to paid API calls with @outputai/http
import { addRequestCost, createKyClient } from '@outputai/http';
// WRONG - Tracking cost yourself in a side table, or skipping it for paid APIs
import { FatalError, ValidationError } from '@outputai/core';
import { createKyClient } from '@outputai/http';
import { credentials } from '@outputai/credentials';
const API_KEY = credentials.require('service.api_key');
const BASE_URL = 'https://api.service.com';
const client = createKyClient({
prefix: BASE_URL,
headers: {
Authorization: `Bearer ${API_KEY}`,
Accept: 'application/json'
},
timeout: 30000,
retry: {
limit: 3,
statusCodes: [408, 429, 500, 502, 503, 504]
}
});
/**
* Fetch data from the service
*
* @param query - Search query string
* @returns Processed response data
* @throws {FatalError} If authentication fails or resource not found
* @throws {ValidationError} If temporary error occurs
*/
export async function fetchServiceData(query: string): Promise<ServiceResponse> {
const response = await client.get('endpoint', {
searchParams: { q: query }
});
const data = await response.json();
if (!data.results) {
throw new FatalError('No results returned from service');
}
return data;
}
import { FatalError, ValidationError } from '@outputai/core';
import { createKyClient } from '@outputai/http';
import { credentials } from '@outputai/credentials';
export interface ServiceOptions {
model?: string;
timeout?: number;
}
export class ServiceClient {
private readonly client: ReturnType<typeof createKyClient>;
private readonly model: string;
constructor(apiKey?: string) {
const key = apiKey ?? credentials.require('service.api_key');
this.client = createKyClient({
prefix: 'https://api.service.com',
headers: {
Authorization: `Bearer ${key}`,
'Content-Type': 'application/json'
},
timeout: 30000,
retry: {
limit: 3,
statusCodes: [408, 429, 500, 502, 503, 504]
}
});
this.model = 'default-model';
}
async process(input: ProcessInput): Promise<ProcessOutput> {
try {
const response = await this.client.post('process', {
json: {
model: this.model,
input
}
});
return await response.json();
} catch (error: unknown) {
const err = error as { status?: number; message?: string };
if (err.status === 429) {
throw new ValidationError(`Rate limit exceeded: ${err.message}`);
}
if (err.status === 401 || err.status === 403) {
throw new FatalError(`Authentication failed: ${err.message}`);
}
throw new ValidationError(`Service call failed: ${err.message}`);
}
}
}
import { FatalError } from '@outputai/core';
import { createKyClient } from '@outputai/http';
import { credentials } from '@outputai/credentials';
const JINA_API_KEY = credentials.require('jina.api_key');
const JINA_BASE_URL = 'https://r.jina.ai';
const client = createKyClient({
prefix: JINA_BASE_URL,
headers: {
Authorization: `Bearer ${JINA_API_KEY}`,
Accept: 'application/json'
},
timeout: 30000,
retry: {
limit: 3,
statusCodes: [408, 413, 429, 500, 502, 503, 504]
}
});
/**
* Parse PDF resume using Jina Reader API
*/
export async function parseResumeWithJina(base64Pdf: string): Promise<string> {
const response = await client.post('', {
json: { pdf: base64Pdf },
headers: {
'Content-Type': 'application/json'
}
});
const data: {
data: {
content: string;
title?: string;
};
} = await response.json();
if (!data.data?.content) {
throw new FatalError('No content returned from Jina PDF parser');
}
return data.data.content;
}
/**
* Scrape text content from URL using Jina Reader
*/
export async function scrapeTextWithJina(url: string): Promise<string> {
const response = await client.get(url, {
headers: {
'X-Return-Format': 'text',
'X-No-Cache': 'true',
'X-Timeout': '30'
}
});
const data: {
data: {
text?: string;
content?: string;
};
} = await response.json();
const textContent = data.data?.text || data.data?.content;
if (!textContent) {
throw new FatalError(`No text content returned from URL: ${url}`);
}
return textContent;
}
import { GoogleGenerativeAI } from '@google/generative-ai';
import { FatalError, ValidationError } from '@outputai/core';
import { credentials } from '@outputai/credentials';
export interface GeminiImageGenerationOptions {
prompt: string;
referenceImages?: Array<{
inlineData: {
mimeType: string;
data: string;
};
}>;
aspectRatio?: string;
resolution?: string;
numberOfImages?: number;
}
export class GeminiImageService {
private readonly client: GoogleGenerativeAI;
// current as of 2026-05-04 — run output-dev-model-selection for the latest
private readonly model: string = 'gemini-3-pro-image';
constructor(apiKey = credentials.require('google.api_key')) {
if (!apiKey) {
throw new FatalError(
'GeminiImageService: No API Key provided (google.api_key credential).'
);
}
this.client = new GoogleGenerativeAI(apiKey);
}
async generateImage(options: GeminiImageGenerationOptions): Promise<string[]> {
const { prompt, referenceImages = [], aspectRatio = '1:1', resolution = '1K', numberOfImages = 1 } = options;
try {
const model = this.client.getGenerativeModel({ model: this.model });
const parts: Array<{ text: string } | { inlineData: { mimeType: string; data: string } }> = [];
if (referenceImages.length > 0) {
referenceImages.forEach(img => parts.push(img));
}
const finalPrompt = `${prompt}\n\nGenerate this as a ${aspectRatio} aspect ratio image at ${resolution} resolution.`;
parts.push({ text: finalPrompt });
const result = await model.generateContent({
contents: [{ role: 'user', parts }],
generationConfig: {
temperature: 1.0,
topP: 0.95,
candidateCount: numberOfImages,
maxOutputTokens: 8192
}
});
const images: string[] = [];
const candidates = result.response.candidates || [];
for (const candidate of candidates) {
if (candidate.content?.parts) {
for (const part of candidate.content.parts) {
if (part.inlineData?.data) {
images.push(part.inlineData.data);
}
}
}
}
if (images.length === 0) {
throw new ValidationError('No images were generated by Gemini');
}
return images;
} catch (error: unknown) {
const err = error as { status?: number; message?: string };
if (err.status === 429) {
throw new ValidationError(`Gemini rate limit exceeded: ${err.message}`);
}
if (err.status === 401 || err.status === 403) {
throw new FatalError(`Gemini authentication failed: ${err.message}`);
}
throw new ValidationError(`Gemini image generation failed: ${err.message}`);
}
}
}
const RETRY_STATUS_CODES = [408, 429, 500, 502, 503, 504];
const FATAL_STATUS_CODES = [401, 403, 404];
const client = createKyClient({
retry: {
limit: 3,
statusCodes: RETRY_STATUS_CODES
},
hooks: {
beforeError: [
( { error } ) => {
const status = error.response?.status;
const message = error.message;
if (status && FATAL_STATUS_CODES.includes(status)) {
throw new FatalError(`HTTP ${status} error: ${message}`);
}
throw new ValidationError(`HTTP request failed: ${message}`);
}
]
}
});
| Status Code | Error Type | Reason |
|---|---|---|
| 401, 403 | FatalError | Auth failures won't succeed on retry |
| 404 | FatalError | Resource doesn't exist |
| 408 | ValidationError | Timeout, may succeed on retry |
| 429 | ValidationError | Rate limit, will succeed after wait |
| 500+ | ValidationError | Server errors may be temporary |
If the service a client wraps charges money per request, attach that cost to the request's trace so it shows up in npx output workflow cost (see output-dev-workflow-cost) and in any cost:http:request hook handlers (see output-dev-cost-hooks).
Do this on the client itself, in an afterResponse hook — not at each call site. That way every function or method that goes through the client is costed automatically, and nobody integrating with the client later has to remember to do it.
addRequestCost(response, totalUsd) only works on a response that came from outputFetch or createKyClient — including a response.clone() of one, so it's safe to call from inside an afterResponse hook (ky passes hooks a clone). If the response didn't originate from @outputai/http, addRequestCost no-ops with a console warning.
There are two common pricing shapes for paid third-party APIs:
Some APIs report what a specific call cost — in a response header or a JSON field (credits used, units billed, etc). Read that field and pass it straight to addRequestCost. Guard against free or cached responses that legitimately report zero cost.
import { addRequestCost, createKyClient } from '@outputai/http';
import { credentials } from '@outputai/credentials';
const API_KEY = credentials.require('service.api_key');
const client = createKyClient({
prefix: 'https://api.service.com',
headers: { Authorization: `Bearer ${API_KEY}` },
timeout: 30000,
retry: { limit: 3, statusCodes: [408, 429, 500, 502, 503, 504] },
hooks: {
afterResponse: [
async (_request, _options, response) => {
// Errored responses (4xx/5xx) and retried attempts aren't billed the
// same as a successful call — skip them rather than over-counting.
if (!response.ok) {
return;
}
try {
const body = await response.clone().json() as { creditsUsed?: number; cached?: boolean };
// Skip cached or free responses that legitimately cost nothing.
if (body.cached || !body.creditsUsed) {
return;
}
const usdPerCredit = 0.01;
addRequestCost(response, body.creditsUsed * usdPerCredit);
} catch {
// Never let cost tracking break the request.
}
}
]
}
});
When a service is billed as a flat monthly fee or subscription tier, there's no true marginal cost per call — but recording some per-call figure keeps spend comparable across services in workflow cost and any cost dashboards. Assign a notional per-call USD rate as a constant, overridable by a non-secret environment variable so it can be tuned without a code change.
import { addRequestCost, createKyClient } from '@outputai/http';
import { credentials } from '@outputai/credentials';
const API_KEY = credentials.require('service.api_key');
// Notional per-call cost for a flat-rate subscription. Not a secret, so a
// plain env var is fine here — unlike API keys, which must go through
// @outputai/credentials.
const NOTIONAL_COST_USD = Number(process.env.SERVICE_NOTIONAL_COST_USD ?? 0.005);
const client = createKyClient({
prefix: 'https://api.service.com',
headers: { Authorization: `Bearer ${API_KEY}` },
timeout: 30000,
retry: { limit: 3, statusCodes: [408, 429, 500, 502, 503, 504] },
hooks: {
afterResponse: [
(_request, _options, response) => {
// Errored responses (4xx/5xx) and retried attempts aren't billed the
// same as a successful call — skip them rather than over-counting.
if (!response.ok) {
return;
}
addRequestCost(response, NOTIONAL_COST_USD);
}
]
}
});
The constant above is a placeholder — config/costs.yml (see output-dev-workflow-cost) can override the actual dollar figure per service afterward, without another code change. Add a services.<name> entry with type: request, a matching url_pattern, and an endpoints.<name> block giving pattern + price for the call. (default_price only applies inside a models/model_path entry, for picking a fallback price when the request's model isn't in models — it does nothing paired with a bare url_pattern.) Prefer that file over inventing more env vars once you have more than one or two notional rates to tune.
Rules:
throw from an afterResponse cost hook — a throw there fails the request itself. Wrap body parsing in try/catch and silently skip on parse failure.!response.ok attempts unless you know the API bills failed requests too (the framework itself does count a recorded cost event "regardless of HTTP status" once one exists — the event is proof of a charge). When in doubt, check the provider's billing docs before adding the guard.llm:generation:metering. addRequestCost is for non-LLM HTTP calls only.output-dev-cost-hooks.Prefer @outputai/credentials over process.env for secrets management. See output-dev-credentials skill for details.
import { credentials } from '@outputai/credentials';
// credentials.require() throws MissingCredentialError if not found
const apiKey = credentials.require('service.api_key');
// credentials.get() returns undefined or default if not found
const region = credentials.get('aws.region', 'us-east-1');
/**
* Fetch user profile from external service
*
* @param userId - Unique user identifier
* @returns User profile data
* @throws {FatalError} If user not found or auth fails
* @throws {ValidationError} If temporary error occurs
*
* @example
* const profile = await fetchUserProfile('user-123');
*/
export async function fetchUserProfile(userId: string): Promise<UserProfile> {
// ...
}
// Standard timeout: 30 seconds
timeout: 30000
// Long-running operations: 60 seconds
timeout: 60000
createKyClient follows Fetch response-body semantics: callers own returned response bodies. Prefer body readers like .json() or .text()
when the payload is needed. If a request only reads metadata such as response.url, response.status, or headers, cancel the
unused body in a finally block.
const response = await client.get( url );
try {
return response.url;
} finally {
await response.body?.cancel();
}
HEAD requests do not have response bodies, so this is only needed for methods that can return one.
// Export interfaces for consumers
export interface ServiceResponse {
data: {
id: string;
content: string;
};
metadata: {
processedAt: string;
};
}
src/shared/clients/ directory{service}_client.tscreateKyClient imported from @outputai/http (not axios)FatalError and ValidationError imported from @outputai/coreaddRequestCost in an afterResponse hookoutput-dev-step-function - Using clients in step functionsoutput-dev-evaluator-function - Using clients in evaluatorsoutput-dev-folder-structure - Understanding project layoutoutput-dev-credentials - Encrypted secrets managementoutput-dev-cost-hooks - Subscribing to cost events (cost:http:request, llm:generation:metering) for observabilityoutput-error-http-client - Troubleshooting HTTP issuesoutput-error-try-catch - Proper error handling patterns原文・著作権は Anthropic および各プラグイン作者に帰属します。日本語訳は Claude API による自動翻訳です。