Skip to content

Add token usage information in GoogleGenAI chat additional_kwargs #20219

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

Open
wants to merge 3 commits into
base: main
Choose a base branch
from
Open

Add token usage information in GoogleGenAI chat additional_kwargs #20219

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
9862703
Add GoogleGenAI token usage information in additional_kwargs as requi…
Nov 6, 2025
1e272e3
Bump version
Nov 6, 2025
2c964f5
Merge branch 'main' into fix_mlflow_tracing
logan-markewich Nov 7, 2025
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
10 changes: 9 additions & 1 deletion ...ex-integrations/llms/llama-index-llms-google-genai/llama_index/llms/google_genai/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -145,15 +145,23 @@ def chat_from_gemini_response(
**response_feedback,
}
thought_tokens: Optional[int] = None
additional_kwargs: Dict[str, Any] = {"thought_signatures": []}
if response.usage_metadata:
raw["usage_metadata"] = response.usage_metadata.model_dump()

# Set token usage information as required by MLFlow Tracing
additional_kwargs["prompt_tokens"] = response.usage_metadata.prompt_token_count
additional_kwargs["completion_tokens"] = (
response.usage_metadata.candidates_token_count
)
additional_kwargs["total_tokens"] = response.usage_metadata.total_token_count

if response.usage_metadata.thoughts_token_count:
thought_tokens = response.usage_metadata.thoughts_token_count

if hasattr(response, "cached_content") and response.cached_content:
raw["cached_content"] = response.cached_content

additional_kwargs: Dict[str, Any] = {"thought_signatures": []}
content_blocks = []
if (
len(response.candidates) > 0
Expand Down