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api-integration

Integrate external REST APIs with proper authentication, rate limiting, error handling, and caching patterns. Use when working with external APIs, building API clients, or fetching data from third-party services.

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Quellinformationen

Repository
AutumnsGrove/Lattice
Letzte Quellaktivität
18. Februar 2026 um 20:05
Erkannte Sprache von SKILL.md
Englisch
Sterne
6
Forks
0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
api-integration
description
Integrate external REST APIs with proper authentication, rate limiting, error handling, and caching patterns. Use when working with external APIs, building API clients, or fetching data from third-party services.
# API Integration Skill ## When to Activate Activate this skill when: - Integrating external APIs - Building API clients or wrappers - Handling API authentication - Implementing rate limiting - Caching API responses ## Core Principles 1. **Respect rate limits** - APIs are shared resources 2. **Secure authentication** - Keys in secrets.json, never in code 3. **Handle errors gracefully** - Implement retries and backoff 4. **Cache responses** - Reduce redundant requests ## Authentication Setup ### secrets.json ```json { "github_token": "ghp_your_token_here", "openweather_api_key": "your_key_here", "comment": "Never commit this file" } ``` ### Python Loading ```python import os import json from pathlib import Path def load_secrets(): secrets_path = Path(__file__).parent / "secrets.json" try: with open(secrets_path) as f: return json.load(f) except (FileNotFoundError, json.JSONDecodeError): return {} secrets = load_secrets() API_KEY = secrets.get("github_token", os.getenv("GITHUB_TOKEN", "")) if not API_KEY: raise ValueError("No API key found") ``` ## Request Patterns ### Basic GET (Python) ```python import requests def api_request(url: str, api_key: str) -> dict: headers = { "Authorization": f"Bearer {api_key}", "Accept": "application/json" } response = requests.get(url, headers=headers, timeout=10) response.raise_for_status() return response.json() ``` ### With Retry and Backoff ```python import time from typing import Optional def api_request_with_retry( url: str, api_key: str, max_retries: int = 3 ) -> Optional[dict]: headers = {"Authorization": f"Bearer {api_key}"} wait_time = 1 for attempt in range(max_retries): try: response = requests.get(url, headers=headers, timeout=10) if response.status_code == 200: return response.json() elif response.status_code == 429: print(f"Rate limited. Waiting {wait_time}s...") time.sleep(wait_time) wait_time *= 2 else: print(f"Error: HTTP {response.status_code}") return None except requests.exceptions.RequestException as e: print(f"Request failed: {e}") time.sleep(wait_time) wait_time *= 2 return None ``` ### Bash Request ```bash #!/bin/bash API_KEY=$(python3 -c "import json; print(json.load(open('secrets.json'))['github_token'])") curl -s -H "Authorization: Bearer $API_KEY" \ -H "Accept: application/json" \ "https://api.github.com/user" | jq '.' ``` ## Error Handling ```python try: response = requests.get(url, headers=headers, timeout=10) response.raise_for_status() data = response.json() except requests.exceptions.HTTPError as e: if e.response.status_code == 429: print("Rate limited - waiting") elif e.response.status_code == 401: print("Unauthorized - check API key") else: print(f"HTTP error: {e}") except requests.exceptions.ConnectionError: print("Connection error") except requests.exceptions.Timeout: print("Request timeout") ``` ## HTTP Status Codes | Code | Meaning | Action | | ---- | ------------ | ------------------ | | 200 | Success | Process response | | 401 | Unauthorized | Check API key | | 403 | Forbidden | Check permissions | | 404 | Not found | Verify endpoint | | 429 | Rate limited | Wait and retry | | 5xx | Server error | Retry with backoff | ## Caching ```python import time cache = {} CACHE_TTL = 3600 # 1 hour def cached_request(url: str, api_key: str) -> dict: now = time.time() if url in cache: data, timestamp = cache[url] if now - timestamp < CACHE_TTL: return data data = api_request(url, api_key) cache[url] = (data, now) return data ``` ## Rate Limiting ### Check Headers ```bash curl -I -H "Authorization: Bearer $API_KEY" "https://api.github.com/user" | grep -i rate # x-ratelimit-limit: 5000 # x-ratelimit-remaining: 4999 ``` ### Implement Delays ```python import time def bulk_requests(urls: list, api_key: str, delay: float = 1.0): results = [] for url in urls: result = api_request(url, api_key) results.append(result) time.sleep(delay) return results ``` ## Pagination ```python def fetch_all_pages(base_url: str, api_key: str) -> list: all_items = [] page = 1 while True: url = f"{base_url}?page={page}&per_page=100" data = api_request(url, api_key) if not data: break all_items.extend(data) page += 1 time.sleep(1) # Respect rate limits return all_items ``` ## Best Practices ### DO ✅ - Store keys in secrets.json - Implement retry with exponential backoff - Cache responses when appropriate - Respect rate limits - Handle errors gracefully - Log requests (without sensitive data) ### DON'T ❌ - Hardcode API keys - Ignore rate limits - Skip error handling - Make requests in tight loops - Log API keys ## API Etiquette Checklist - [ ] Read API documentation and ToS - [ ] Check rate limits - [ ] Store keys securely - [ ] Implement rate limiting - [ ] Add error handling - [ ] Cache appropriately - [ ] Monitor usage ## Grove API Error Responses (MANDATORY) When building API routes in Grove applications, **all error responses MUST use Signpost error codes**. Never return ad-hoc JSON error shapes. ```typescript import { API_ERRORS, buildErrorJson, logGroveError, } from "@autumnsgrove/lattice/errors"; import { json } from "@sveltejs/kit"; export const POST: RequestHandler = async ({ request, locals }) => { if (!locals.user) { logGroveError("Engine", API_ERRORS.UNAUTHORIZED, { path: "/api/resource" }); return json(buildErrorJson(API_ERRORS.UNAUTHORIZED), { status: 401 }); } const body = schema.safeParse(await request.json()); if (!body.success) { return json(buildErrorJson(API_ERRORS.INVALID_REQUEST_BODY), { status: 400, }); } // ... business logic }; ``` Client-side, use `apiRequest()` (handles CSRF + credentials) and show toast feedback: ```typescript import { toast } from "@autumnsgrove/lattice/ui"; try { await apiRequest("/api/resource", { method: "POST", body }); toast.success("Created!"); } catch (err) { toast.error(err instanceof Error ? err.message : "Something went wrong"); } ``` See `AgentUsage/error_handling.md` for the complete Signpost error code reference. ## Related Resources See `AgentUsage/api_usage.md` for complete documentation including: - Bash request patterns - Conditional requests (ETags) - Advanced caching strategies - Specific API examples (GitHub, OpenWeather)
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