twilio-reliability-patterns Skill
Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains. Use this skill whenever sending messages or making calls at volume, or when building production-gra Published by openai in plugins.
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Developers using plugins, Includes SKILL.md, Reusable instructions
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Copy skill directory
20 days ago
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What is twilio-reliability-patterns Skill?
Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains. Use this skill whenever sending messages or making calls at volume, or when building production-gra Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using plugins
Declared skill metadata
- Source file: plugins/twilio-developer-kit/skills/twilio-reliability-patterns/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use twilio-reliability-patterns Skill
- Use it for developers using plugins.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/twilio-developer-kit/skills/twilio-reliability-patterns/SKILL.md
What it does
Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains. Use this skill whenever sending messages or making calls at volume, or when building production-gra
Skill instructions
Overview Twilio enforces per-resource rate limits. At scale, 429 errors are expected behavior — not bugs. This skill teaches the patterns that prevent production failures: exponential backoff, throughput management, and resilient callback handling. 429 concurrency errors are not well documented — implement exponential backoff with ±10% jitter. --- Prerequisites - A working Twilio integration (any product) - Understanding of your expected volume (messages/sec, calls/sec) - StatusCallback URLs configured — see twilio-messaging-services, twilio-sms-send-message --- Key Patterns 1. Exponential Backoff with Jitter When you receive a 429 (Too Many Requests), wait and retry. Naive fixed-interval retry creates thundering herds. Use exponential backoff with randomized jitter. Python python import time, random, requests def sendwithbackoff(client, to, body, messagingservicesid, maxretries=5): for attempt in range(maxretries): try: message = client.messages.create( to=to, body=body, messagingserv
Verified compatibility and discovery
Frequently asked questions
What is twilio-reliability-patterns?
twilio-reliability-patterns is a open-source AI agent skill with Copy skill directory. Handle rate limits, retries, and failures when building on Twilio at scale.
Who is twilio-reliability-patterns best for?
twilio-reliability-patterns is best for reusing agent instructions, scripts, and references.
How do I install twilio-reliability-patterns?
Install or run twilio-reliability-patterns using Copy skill directory. Check twilio-reliability-patterns for the latest setup command.
Is twilio-reliability-patterns actively maintained?
twilio-reliability-patterns may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
