Results for “async-api”

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Call APIs, load data into components, and handle the async lifecycle in Blazor.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Urlbox API skill. Use when working with Urlbox for render. Covers 1 endpoint.

Integrate REST APIs in Python using requests, httpx, or official SDKs, handling authentication, rate limiting, pagination, and errors.

FastAPI 模式——异步 API、依赖注入、Pydantic 请求/响应模型、OpenAPI 文档、中间件及测试

Build real-time, bidirectional streaming applications with the Gemini Live API, covering WebSocket-based audio/video/text streaming, voice activity detection, function calling, session management, and ephemeral tokens.

Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic. Use when the user requests api integration or provides relevant inputs for this workflow.

Implements scheduled cron triggers in Cloudflare Workers, covering handler signatures, multiple schedules, background tasks, workflow integration, and testing.

Provides Spring Boot architecture patterns for building scalable REST APIs, including layered services, data access, caching, async processing, and logging.

Design REST and GraphQL APIs with OpenAPI 3.1 specifications, resource modeling, versioning strategies, pagination patterns, and error handling standards.

API design specialist for REST, GraphQL, gRPC, versioning strategies, and developer experienceUse when "api design, rest, graphql, grpc, openapi, swagger, versioning, pagination, rate limiting, endpoint, api, rest, graphql, grpc, openapi, swagger, versioning, pagination, rate-limiting, ml-memory" mentioned.

Giphy API skill. Use when working with Giphy for gifs, stickers. Covers 10 endpoints.

Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

Implements scheduled handlers for Cloudflare Workers, covering cron triggers, retry control, multiple schedules, workflow integration, and testing.

Build REST endpoints with API Resources, Sanctum authentication, and versioned route groups in Laravel. Use when creating JsonResource classes, adding token-based auth, or defining rate-limited API routes.

Manage Asana tasks, projects, workspaces, users, and webhooks through a managed OAuth proxy, with explicit user approval required for write operations.

Generates images, videos, and audio transcripts using fal.ai's API, supporting models like FLUX, Stable Diffusion, and Whisper.

Manages Vapi voice agents, calls, phone numbers, tools, and webhooks via the Vapi REST API or CLI.

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

Manage Vapi voice agents, calls, phone numbers, tools, and webhooks via REST API or CLI.

Writes, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs.

BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.

Build AI applications with the inference.sh Python SDK: run apps, build agents, and integrate with 250+ models using sync/async, streaming, file uploads, and a tool builder API.