From 8f4aeb2d6fbdd0d8ba63eaaa175716d9d060102c Mon Sep 17 00:00:00 2001 From: mateo Date: Tue, 20 Oct 2026 18:44:24 +0000 Subject: [PATCH] docs: complete Bedrock count-token e2e docstring Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../llm_translation/test_messages_count_tokens_bedrock_e2e.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/e2e/llm_translation/test_messages_count_tokens_bedrock_e2e.py b/tests/e2e/llm_translation/test_messages_count_tokens_bedrock_e2e.py index a804a993e3e..3bcadd7781f 100644 --- a/tests/e2e/llm_translation/test_messages_count_tokens_bedrock_e2e.py +++ b/tests/e2e/llm_translation/test_messages_count_tokens_bedrock_e2e.py @@ -6,7 +6,7 @@ CountTokens answers 400 for it. The proxy then has to count through bedrock-mant Anthropic count_tokens, and the answer must sit within a few percent of what `/v1/messages` bills as `usage.input_tokens`. The local tokenizer fallback undercounts these models by about 40%, so this is the line that proves the real count is served. Both calls go through -the real Anthropic SDK, the client customers count with +the real Anthropic SDK, as a customer would use them. """ from __future__ import annotations