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is_prompt_caching_valid_prompt ran the full Python token_counter over every message to compare against the deployment's prompt cache minimum, 500 to 1000 ms at 440k to 740k tokens on every request that reaches the prompt_caching pre-call check, Rust on or off. messages_reach_token_count does the same arithmetic as token_counter(...) >= threshold and stops at the first message that reaches the threshold. Groups with one healthy deployment skip the prefix hash and pin lookup, which cannot change the result for them Four fixed name span events make the pre-LLM phases measurable with OTel v2: litellm.request.body_received (with body_bytes) once per body read before parsing, on the JSON, binary and form branches, body_parsed, pre_call_completed, and deployment_selected emitted once per pick inside Router.async_get_available_deployment and get_available_deployment with attempt, reason and model group, so every router surface, retry and fallback is covered. Measured locally on /v1/chat/completions, /v1/messages and /v1/responses at 440k tokens with Rust on and off against a fake upstream Co-authored-by: yassin <yassin@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| test_enforce_model_rate_limits.py | ||
| test_io_token_rate_limits.py | ||
| test_router.py | ||