Twitter API v2 Recent Search Rate Limit Persistence in Containerized Environments

A development environment utilizing containerized services interacts with the GET /2/tweets/search/recent endpoint using a bearer token. To ensure repeatability, the environment is frequently rebuilt, which clears all local in-memory state and client-side caches.

While the Twitter API enforces rate limits server-side based on the bearer token, the lack of persistent client-side state means the application cannot track x-rate-limit-reset values across container restarts. This creates uncertainty regarding the optimal strategy for handling 429 responses when the environment is ephemeral.

• Does the server-side enforcement for the recent search endpoint allow for seamless resumption of pagination using a next_token if the container is restarted between requests?
• What is the recommended mechanism for persisting rate-limit metadata to avoid redundant 429 triggers in a stateless container architecture?