[lalith0407]

Motivation & Context

Gemini reports thinking tokens (thoughts_token_count) and tool-use prompt tokens (tool_use_prompt_token_count) outside candidates_token_count and prompt_token_count. GeminiChatClient copied only those two into output_token_count / input_token_count. On thinking models, gen_ai.usage.output_tokens therefore left out the (billed) thinking tokens and came out smaller than reasoning_output_token_count (80 vs 900 in the repro), and input + output didn't add up to total_token_count. Every other connector reports full totals, and the GenAI semconv says reasoning tokens SHOULD be included in output_tokens.

HUMAN: I noticed this in traces from Gemini 2.5 thinking models, where output_tokens came out lower than the reasoning token count, which shouldn't be possible. Looking at the response, the thinking tokens sit in thoughts_token_count and the client never added them in. I checked the google-genai total_token_count definition and the GenAI semconv, and both count thinking as output, so I made the totals add up and added tests for normal, streaming and cut-off responses.

Description & Review Guide

• What are the major changes? _parse_usage sets output_token_count = candidates_token_count + thoughts_token_count and input_token_count = prompt_token_count + tool_use_prompt_token_count (missing values count as 0). If only thinking tokens are reported (a MAX_TOKENS cut-off mid-thought), output_token_count is still set. reasoning_output_token_count, cache_read_input_token_count and total_token_count are unchanged.
• What is the impact of these changes? Gemini usage details, spans and token histograms now satisfy input + output == total, and output includes thinking, matching OpenAI/Anthropic/Bedrock. Visible-only output is still output_token_count - reasoning_output_token_count. The package is beta.
• What do you want reviewers to focus on? Whether to also fold tool_use_prompt_token_count into input in this PR (I think it belongs here, since the SDK defines total as the sum of all four, but I can split it out). Streaming uses the same _parse_usage on the final chunk, so it is covered by the same change (with a test).

Tests (packages/gemini): 276 passed, 10 skipped. The 4 new tests fail on main and pass with the fix. One existing test's mock total was updated from 28 to 34 so the mock matches real Gemini (20 + 8 + 6 thoughts). ruff check/format is clean, and pyright reports 0 errors on agent_framework_gemini.

Related Issue

Fixes #9912

AI Assistance

• No material AI assistance was used.
• This is an AI-assisted contribution. I reviewed, understood, and verified all submitted content and accept responsibility for it.

AI assistance details: AI helped with the investigation, the offline repro script, the implementation, the tests and drafting this description. I reviewed and re-ran everything.

Contribution Checklist

• The code builds clean without any errors or warnings
• All unit tests pass, and I have added new tests where possible
• The PR follows the Contribution Guidelines
• This PR links to an agreed issue with no competing open PR
• This is not a breaking change. (Value change in a beta package; happy to follow your call.)

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[Copilot]

🟡 Changes recommended

The input-token condition still omits tool-use tokens when prompt_token_count is None, leaving input_token_count absent and token totals inconsistent.

1 open issue

• Include tool-use tokens when prompt token count is missing · New

What changed in this PR

This PR addresses #9912 by correcting Gemini token accounting in the Python connector so usage reporting includes thinking and tool-use prompt tokens.

Changes:

• Include thinking tokens in output totals and tool-use prompt tokens in input totals.
• Preserve output usage for responses cut off while thinking.
• Add four regression tests covering non-streaming, streaming, and thinking-only responses, and correct an existing mock total.

File	Description
python/​packages/​gemini/​tests/​test_gemini_client.py	Extend usage mocks and test inclusive token totals and cut-off responses.
python/​packages/​gemini/​agent_framework_gemini/​_chat_client.py	Fold thinking and tool-use prompt counts into output and input usage.

_{Review effort: Balanced}