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add thinking content token #2

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add thinking content token #2

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4 changes: 4 additions & 0 deletions src/google/adk/models/lite_llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,6 +79,7 @@ class UsageMetadataChunk(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
thoughts_token_count: int


class LiteLLMClient:
Expand Down Expand Up @@ -420,6 +421,7 @@ def _model_response_to_chunk(
prompt_tokens=response["usage"].get("prompt_tokens", 0),
completion_tokens=response["usage"].get("completion_tokens", 0),
total_tokens=response["usage"].get("total_tokens", 0),
thoughts_token_count=getattr(response["usage"]["completion_tokens_details"], "reasoning_tokens", 0),
), None


Expand Down Expand Up @@ -448,6 +450,7 @@ def _model_response_to_generate_content_response(
prompt_token_count=response["usage"].get("prompt_tokens", 0),
candidates_token_count=response["usage"].get("completion_tokens", 0),
total_token_count=response["usage"].get("total_tokens", 0),
thoughts_token_count=getattr(response["usage"]["completion_tokens_details"], "reasoning_tokens", 0),
)
return llm_response

Expand Down Expand Up @@ -766,6 +769,7 @@ async def generate_content_async(
prompt_token_count=chunk.prompt_tokens,
candidates_token_count=chunk.completion_tokens,
total_token_count=chunk.total_tokens,
thoughts_token_count=chunk.completion_tokens_details.reasoning_tokens,
)

if (
Expand Down