We keep hitting rate limits on the Anthropic and OpenAI APIs when our marketing campaign launches. What fallback architecture should I implement right now?
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We keep hitting rate limits on the Anthropic and OpenAI APIs when our marketing campaign launches. What fallback architecture should I implement right now?
2 real searches · 1 real-search pass
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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
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ChatGPT2 real searches · gpt-6
OpenAI API rate limits 429 retry exponential backoff official documentation Google ↗
Anthropic API rate limits 429 retry-after headers official documentation Google ↗
- Troubleshooting API rate limits and 429 errors · help.openai.com
- Claude API errors · platform.claude.com
- Rate limits · developers.openai.com
- Rate limits · platform.claude.com
Queries
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