claude-code - 💡(How to fix) Fix [Feature Request] API rate limiting throttling for multi-session orchestration workflows [1 comments, 2 participants]

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anthropics/claude-code#54281Fetched 2026-04-29 06:31:32
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Bug Description I have designed a custom orchestrator that deploys claude code sessions (subagents but with more features, control, audability etc) I keep hitting API rate limiting errors! I think this is a valid use case for Claude Code, if not please let me know. If it is valid, please change this API behaviour.

Environment Info

  • Platform: darwin
  • Terminal: iTerm.app
  • Version: 2.1.121
  • Feedback ID: 31462721-86f9-41b2-853d-ba707d68f5e0

The orchestrator in question: https://github.com/SeidoAI/tripwire

extent analysis

TL;DR

The most likely fix involves adjusting the API request rate to comply with the existing rate limiting or exploring alternative solutions to reduce the number of requests.

Guidance

  • Review the Claude Code API documentation to understand the current rate limiting thresholds and adjust the orchestrator's request frequency accordingly.
  • Consider implementing exponential backoff or retry mechanisms in the orchestrator to handle rate limiting errors more gracefully.
  • Evaluate the necessity of each API call and optimize the orchestrator's workflow to minimize unnecessary requests.

Example

No specific code snippet can be provided without more details on the orchestrator's implementation, but a general approach to handling rate limiting might involve tracking the number of requests made within a certain time frame and pausing or slowing down the request rate as needed.

Notes

The provided information does not specify the exact API endpoints being called or the current request rate, making it difficult to provide a precise solution. Understanding the specific use case and API usage patterns is crucial for determining the best approach to mitigate rate limiting issues.

Recommendation

Apply a workaround by optimizing the orchestrator's request pattern to comply with the current API rate limiting, as there is no clear indication that the API behavior will be changed. This approach allows for immediate mitigation of the issue while awaiting further guidance or changes to the API.

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