Skip to content

fix(otel): use completion_tokens_details for Chat Completions API rea… #24112

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
RheagalFire merged 4 commits into from
Mar 22, 2026
Merged

fix(otel): use completion_tokens_details for Chat Completions API rea… #24112

Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
3664180
fix(otel): use completion_tokens_details for Chat Completions API rea…
AtharvaJaiswal005 Mar 19, 2026
a6aebaf
fix: use getattr instead of .get() for typed token details objects
AtharvaJaiswal005 Mar 19, 2026
33320c6
style: run black formatter on _utils.py
AtharvaJaiswal005 Mar 19, 2026
1bc0ae3
test: add tests for completion_tokens_details and prompt_tokens_detai…
RheagalFire Mar 22, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 14 additions & 1 deletion litellm/integrations/arize/_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -236,13 +236,26 @@ def _set_usage_outputs(span: "Span", response_obj, span_attrs):
prompt_tokens = usage.get("prompt_tokens") or usage.get("input_tokens")
if prompt_tokens:
safe_set_attribute(span, span_attrs.LLM_TOKEN_COUNT_PROMPT, prompt_tokens)
reasoning_tokens = usage.get("output_tokens_details", {}).get("reasoning_tokens")
completion_tokens_details = usage.get(
"completion_tokens_details", {}
) or usage.get("output_tokens_details", {})
reasoning_tokens = completion_tokens_details.get("reasoning_tokens")
if reasoning_tokens:
safe_set_attribute(
span,
span_attrs.LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING,
reasoning_tokens,
)
prompt_tokens_details = usage.get("prompt_tokens_details", {}) or usage.get(
"input_tokens_details", {}
)
cached_tokens = prompt_tokens_details.get("cached_tokens")
if cached_tokens:
safe_set_attribute(
span,
span_attrs.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ,
cached_tokens,
)


def _infer_open_inference_span_kind(call_type: Optional[str]) -> str:
Expand Down
Loading