Skill UI

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

This guide provides advanced technical patterns for optimizing Exa API performance in production workloads. It covers critical strategies such as selecting the optimal search type based on latency budgets (e.g., instant vs. neural), implementing robust result caching using LRU, minimizing content retrieval size, and executing parallel queries to maximize throughput. Essential for building reliable, low-latency, and cost-effective search integrations.

A comprehensive guardrail system for external search APIs (like Exa). It enforces content safety policies, manages domain access via allow/blocklists, sanitizes queries to prevent misuse, implements result freshness checks, and enforces per-user usage quotas. Essential for building reliable, secure, and cost-controlled integrations.

A comprehensive guide and implementation pattern for handling external API rate limits (HTTP 429 errors) and service throttling. It demonstrates advanced techniques like exponential backoff with jitter, request queuing using concurrency control, and adaptive rate limiting, ensuring stable and reliable API interaction even under high load or strict usage quotas.

A comprehensive guide to implementing production-ready patterns for the Exa-js SDK. Covers critical architectural concerns such as client singletons, type-safe wrapper functions, advanced error handling, exponential backoff retry logic, and robust response validation using Zod. Use this when integrating Exa APIs into large-scale applications or establishing team coding standards for maximum stability and maintainability.

This comprehensive guide details essential security practices for integrating the Exa API. It covers key areas such as secure API key management using environment variables, implementing content moderation to filter unsafe results, restricting results via domain allow/block lists, and sanitizing user queries to prevent injection attacks. Use this when hardening or auditing an Exa-powered application.

This comprehensive guide provides a structured process for safely upgrading the `exa-js` SDK. It covers checking current vs. latest versions, handling potential breaking changes, and validating API compatibility (e.g., search, getContents, findSimilar). Follow these steps to ensure a smooth and reliable migration across different SDK versions.

This skill provides comprehensive APIs and patterns for managing AI models, tracking usage, and handling pricing structures within a platform environment. It is essential for developers needing to integrate robust model lifecycle management, usage monitoring, and billing logic into their applications.

Automates FAQ creation within the technical documentation workflow, offering guidance, best practices, sample configurations, and validation to help teams produce clear API docs, user guides, and architecture write‑ups.

Guides building async FastAPI services with Pydantic V2 models, JWT auth, SQLAlchemy async, WebSocket, and OpenAPI, ensuring production-grade standards for REST endpoints, schema validation, and docs.

A comprehensive expert resource for building high-performance, async-first APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2. Covers advanced topics like microservices architecture, WebSockets, advanced security (OAuth2, RBAC), robust testing strategies (pytest), performance optimization, and modern DevOps practices (Docker, Kubernetes). Ideal for mastering scalable, production-ready Python web services.

Automates FastAPI router creation by guiding backend developers through best practices, code generation, and validation for services spanning Python, Node.js, Go, and microservice architectures.