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test(cost): bill vertex gemini-3.8-flash reasoning tokens at the reasoning price (#46939)
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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2 changed files with 3 additions and 58 deletions
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@ -2181,61 +2181,6 @@ GEMINI_3_8_FLASH_GOOGLE_MAPS_GROUNDING: Final = CostTrackingTestCase(
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),
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)
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GEMINI_3_8_FLASH_FALLBACK_REASONING_AT_OUTPUT_RATE: Final = CostTrackingTestCase(
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name="gemini-3.8-flash-fallback_reasoning_at_output_rate",
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covers="quota_management.spend_tracking.cost_matrix.logs_cost",
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model="gemini-3.8-flash",
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request={
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"model": "$MODEL",
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"messages": [
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line.",
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}
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],
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "f92946792f44 summarize the attached material in one line and name the city weather",
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}
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],
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},
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],
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"stream": False,
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"reasoning_effort": "medium",
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"allowed_openai_params": ["reasoning_effort"],
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},
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response=JsonResponse(
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content_type="application/json",
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body={
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"candidates": [
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{
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"content": {"parts": [{"text": "scripted answer f92946792f44"}], "role": "model"},
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"finishReason": "STOP",
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"index": 0,
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}
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],
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"usageMetadata": {
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"promptTokenCount": 1240,
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"candidatesTokenCount": 560,
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"thoughtsTokenCount": 3480,
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"totalTokenCount": 5280,
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"promptTokensDetails": [{"modality": "TEXT", "tokenCount": 1240}],
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},
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"modelVersion": "gemini-3.8-flash",
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},
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),
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expected=ExactExpected(
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spend=0.0132496, input_cost=0.0006448, output_cost=0.0126048, prompt_tokens=1240, completion_tokens=4040
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),
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)
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GEMINI_3_8_FLASH_FALLBACK_IMAGE_TOKENS_AT_INPUT_RATE: Final = CostTrackingTestCase(
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name="gemini-3.8-flash-fallback_image_tokens_at_input_rate",
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covers="quota_management.spend_tracking.cost_matrix.logs_cost",
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@ -3020,7 +2965,7 @@ GEMINI_3_8_FLASH_STREAM_FULL_USAGE: Final = CostTrackingTestCase(
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),
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),
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expected=ExactExpected(
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spend=0.007460128, input_cost=0.001619488, output_cost=0.00584064, prompt_tokens=8314, completion_tokens=1592
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spend=0.006992128, input_cost=0.001619488, output_cost=0.00537264, prompt_tokens=8314, completion_tokens=1592
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),
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)
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@ -3368,7 +3313,7 @@ GEMINI_3_1_PRO_PREVIEW_CACHE_READ: Final = _gemini_case(
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ExactExpected(spend=0.00912736, input_cost=0.00411136, output_cost=0.005016, prompt_tokens=12928, completion_tokens=380)
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)
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GEMINI_3_1_PRO_PREVIEW_REASONING: Final = _gemini_case(
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GEMINI_3_8_FLASH_FALLBACK_REASONING_AT_OUTPUT_RATE, "gemini-3.1-pro-preview-reasoning", "gemini-3.1-pro-preview",
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GEMINI_3_1_PRO_REASONING, "gemini-3.1-pro-preview-reasoning", "gemini-3.1-pro-preview",
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ExactExpected(spend=0.056056, input_cost=0.002728, output_cost=0.053328, prompt_tokens=1240, completion_tokens=4040)
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)
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GEMINI_3_1_PRO_PREVIEW_TOOL_CALL: Final = _gemini_case(
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@ -3410,7 +3355,6 @@ CASES: Final[tuple[CostTrackingTestCase, ...]] = (
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GEMINI_3_8_FLASH_SERVICE_TIER_PRIORITY,
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GEMINI_3_8_FLASH_WEB_SEARCH_PER_PROMPT,
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GEMINI_3_8_FLASH_GOOGLE_MAPS_GROUNDING,
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GEMINI_3_8_FLASH_FALLBACK_REASONING_AT_OUTPUT_RATE,
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GEMINI_3_8_FLASH_FALLBACK_IMAGE_TOKENS_AT_INPUT_RATE,
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GEMINI_3_8_FLASH_STREAM,
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GEMINI_3_8_FLASH_STREAM_NO_USAGE,
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@ -579,6 +579,7 @@ COST_MAP_ENTRIES: Final[dict[str, dict[str, JsonValue]]] = {
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"mode": "chat",
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"output_cost_per_audio_token": 6.24e-06,
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"output_cost_per_token": 3.12e-06,
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"output_cost_per_reasoning_token": 2.6e-06,
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"output_cost_per_token_flex": 1.56e-06,
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"output_cost_per_token_priority": 3.9e-06,
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"search_context_cost_per_query": {"search_context_size_medium": 0.035},
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