[Feat] Add support for Batch API Rate limiting - PR1 adds support for input based rate limits - #16075
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Jun 24, 2026
… input based rate limits (BerriAI#16075) * add count_input_file_usage * add count_input_file_usage * fix count_input_file_usage * _get_batch_job_input_file_usage * fixes imports * use _get_batch_job_input_file_usage * test_batch_rate_limits * add _check_and_increment_batch_counters * add get_rate_limiter_for_call_type * test_batch_rate_limit_multiple_requests * fixes for batch limits * fix linting * fix MYPY linting
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[Feat] Add support for Batch API Rate limiting - PR1 adds support for input based rate limits
This PR adds rate limiting for batch API requests (OpenAI/Azure) based on Tokens Per Minute (TPM) and Requests Per Minute (RPM). The implementation reads batch input files at submission time, counts tokens using tiktoken, and enforces the same rate limits as regular API requests.
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Pre-Submission checklist
Please complete all items before asking a LiteLLM maintainer to review your PR
tests/litellm/directory, Adding at least 1 test is a hard requirement - see detailsmake test-unitType
🆕 New Feature
✅ Test
Changes