mirror of
https://github.com/BerriAI/litellm.git
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test(integration): add passthrough cost cases
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
kerry
parent
247c4dd68f
commit
110d4c2ad1
7 changed files with 512 additions and 24 deletions
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@ -121,6 +121,10 @@ start_proxy() {
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"LITELLM_MODEL_COST_MAP_URL=$INTEGRATION_UPSTREAM_URL/_cost_map"
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"MODEL_COST_MAP_MIN_MODEL_COUNT=1"
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"MODEL_COST_MAP_MAX_SHRINK_RATIO=0"
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"GEMINI_API_BASE=$INTEGRATION_UPSTREAM_URL"
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"ANTHROPIC_API_BASE=$INTEGRATION_UPSTREAM_URL"
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"GEMINI_API_KEY=sk-scripted-provider"
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"ANTHROPIC_API_KEY=sk-scripted-provider"
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)
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else
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cost_map_env=("LITELLM_LOCAL_MODEL_COST_MAP=True")
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@ -58,13 +58,18 @@ class Gateway:
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*,
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key: str | None = None,
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params: Mapping[str, str] | None = None,
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headers: Mapping[str, str] | None = None,
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) -> httpx.Response:
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request_headers: Final = {
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"Authorization": f"Bearer {self.key if key is None else key}",
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**(headers or {}),
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}
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return self.client.request(
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method,
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path,
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json=body,
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params=params,
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headers={"Authorization": f"Bearer {self.key if key is None else key}"},
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headers=request_headers,
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)
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def request_multipart(
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@ -194,9 +194,11 @@ class Provider:
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async def scripted(self, request: Request) -> Response:
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segments: Final = tuple(segment for segment in cast(str, request.path_params["path"]).split("/") if segment)
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if not segments:
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return JSONResponse({"error": "Unknown scenario"}, status_code=404)
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scenario_id: Final = segments[0].split(":", 1)[0]
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scenario_id: Final = (
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segments[0].split(":", 1)[0]
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if segments and self.scenario_store.get(segments[0].split(":", 1)[0]) is not None
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else request.headers.get("x-scripted-scenario", "")
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)
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response: Final = self.scenario_store.get(scenario_id)
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if response is None:
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return JSONResponse({"error": "Unknown scenario"}, status_code=404)
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@ -1431,6 +1431,24 @@
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-messages_cache_read]": [
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"quota_management.spend_tracking.cost_matrix.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-3.1-pro-passthrough-generate_content_priced_via_gemini_key]": [
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"quota_management.spend_tracking.cost_matrix.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[gemini-3.1-pro-passthrough-stream_generate_content_priced_via_vertex_key]": [
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"quota_management.spend_tracking.scripted_wire.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-passthrough-messages]": [
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"quota_management.spend_tracking.cost_matrix.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[claude-sonnet-5-passthrough-messages_cache_read]": [
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"quota_management.spend_tracking.cost_matrix.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-passthrough-converse]": [
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"quota_management.spend_tracking.cost_matrix.logs_cost"
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],
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"tests/integration/cost_calculation/test_cost_tracking.py::test_case_bills_expected_cost[anthropic.claude-sonnet-5-v1:0-passthrough-converse_stream]": [
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"quota_management.spend_tracking.scripted_wire.logs_cost"
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]
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},
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"browser": {
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@ -144,6 +144,7 @@ class ExactExpected(BaseModel):
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reasoning_cost: float | None = None
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tool_usage_cost: float | None = None
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breakdown_persisted: bool = True
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cost_header: bool = True
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class RecountRates(BaseModel):
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@ -180,19 +181,22 @@ class CostTrackingTestCase(BaseModel):
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name: str
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covers: str
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model: str
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endpoint: Literal[
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"/v1/chat/completions",
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"/v1/responses",
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"/v1/messages",
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"/v1/embeddings",
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"/v1/rerank",
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"/v1/completions",
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"/v1/moderations",
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"/v1/audio/transcriptions",
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"/v1/audio/speech",
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"/v1/images/generations",
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"/v1/images/edits",
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] = "/v1/chat/completions"
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endpoint: (
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Literal[
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"/v1/chat/completions",
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"/v1/responses",
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"/v1/messages",
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"/v1/embeddings",
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"/v1/rerank",
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"/v1/completions",
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"/v1/moderations",
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"/v1/audio/transcriptions",
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"/v1/audio/speech",
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"/v1/images/generations",
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"/v1/images/edits",
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]
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| Annotated[str, Field(pattern=r"^/(gemini|anthropic|bedrock)/")]
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) = "/v1/chat/completions"
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deployment: Deployment | None = None
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upload: Upload | None = None
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request: dict[str, JsonValue]
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@ -235,6 +239,17 @@ class CostTrackingTestCase(BaseModel):
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def base_model(self) -> str | None:
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return self.deployment.base_model if self.deployment else None
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@property
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def passthrough_provider(self) -> Literal["gemini", "anthropic", "bedrock"] | None:
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provider: Final = self.endpoint.removeprefix("/").split("/", 1)[0]
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if provider == "gemini":
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return "gemini"
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if provider == "anthropic":
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return "anthropic"
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if provider == "bedrock":
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return "bedrock"
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return None
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class _CasesFile(BaseModel):
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model_config = ConfigDict(frozen=True, extra="forbid")
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@ -362,6 +377,19 @@ def data_errors() -> tuple[str, ...]:
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and case.response.status != 200
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)
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)
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invalid_opt_outs: Final = sorted(
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case.name
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for case in CASES
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if isinstance(case.expected, ExactExpected)
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and (
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(
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not case.expected.breakdown_persisted
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and case.passthrough_provider is None
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and case.rates.mode != "image_generation"
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)
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or (not case.expected.cost_header and case.passthrough_provider is None)
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)
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)
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return tuple(
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message
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for message in (
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@ -374,6 +402,7 @@ def data_errors() -> tuple[str, ...]:
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f"failure response statuses are inconsistent: {failure_response_mismatches}"
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if failure_response_mismatches
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else None,
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f"invalid passthrough opt-outs: {invalid_opt_outs}" if invalid_opt_outs else None,
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)
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if message is not None
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)
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@ -27460,6 +27460,379 @@
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"completion_tokens": 380,
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"cache_read_cost": 0.00405504
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}
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},
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{
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"name": "gemini-3.1-pro-passthrough-generate_content_priced_via_gemini_key",
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"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
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"model": "gemini/gemini-3.1-pro",
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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": "5fdf6b7dd9b9 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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"allowed_openai_params": []
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},
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"response": {
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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": {
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"parts": [
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{
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"text": "scripted answer 5fdf6b7dd9b9"
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}
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],
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"role": "model"
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},
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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": 1840,
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"candidatesTokenCount": 412,
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"totalTokenCount": 2252,
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"promptTokensDetails": [
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{
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"modality": "TEXT",
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"tokenCount": 1840
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}
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]
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},
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"modelVersion": "gemini-3.1-pro"
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}
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},
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"expected": {
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"spend": 0.008624,
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"input_cost": 0.00368,
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"output_cost": 0.004944,
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"prompt_tokens": 1840,
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"completion_tokens": 412,
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"breakdown_persisted": false,
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"cost_header": false
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},
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"endpoint": "/gemini/v1beta/models/$MODEL:generateContent"
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},
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{
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"name": "gemini-3.1-pro-passthrough-stream_generate_content_priced_via_vertex_key",
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"covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
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"model": "gemini-3.1-pro",
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"request": {
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"model": "$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": "52b6a80ff038 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": true,
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"stream_options": {
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"include_usage": true
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},
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"allowed_openai_params": []
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},
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"response": {
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"content_type": "text/event-stream",
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"frames": [
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"data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"scripted answer 52b6a80ff038\"}], \"role\": \"model\"}, \"finishReason\": \"STOP\", \"index\": 0}], \"modelVersion\": \"gemini-3.1-pro\"}",
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"data: {\"candidates\": [], \"usageMetadata\": {\"promptTokenCount\": 1840, \"candidatesTokenCount\": 412, \"totalTokenCount\": 2252, \"promptTokensDetails\": [{\"modality\": \"TEXT\", \"tokenCount\": 1840}]}, \"modelVersion\": \"gemini-3.1-pro\"}"
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]
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},
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"expected": {
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"spend": 0.0090552,
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"input_cost": 0.003864,
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"output_cost": 0.0051912,
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"prompt_tokens": 1840,
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"completion_tokens": 412,
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"breakdown_persisted": false,
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"cost_header": false
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},
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"endpoint": "/gemini/v1beta/models/$MODEL:streamGenerateContent?alt=sse"
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},
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{
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"name": "claude-sonnet-5-passthrough-messages",
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"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
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"model": "claude-sonnet-5",
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"endpoint": "/anthropic/v1/messages",
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"request": {
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"model": "$MODEL",
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"max_tokens": 412,
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"messages": [
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{
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"role": "user",
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"content": "summarize the attached material in one line"
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}
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]
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},
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"response": {
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"content_type": "application/json",
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"body": {
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"id": "msg_$REQUEST_ID",
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"type": "message",
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"role": "assistant",
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"model": "claude-sonnet-5",
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"content": [
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{
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"type": "text",
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"text": "scripted response"
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}
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],
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"stop_reason": "end_turn",
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"stop_sequence": null,
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"usage": {
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"input_tokens": 1840,
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"output_tokens": 412
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}
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}
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},
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"expected": {
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"spend": 0.0117,
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"input_cost": 0.00552,
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"output_cost": 0.00618,
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"prompt_tokens": 1840,
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"completion_tokens": 412,
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"breakdown_persisted": false,
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"cost_header": false
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}
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},
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{
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"name": "claude-sonnet-5-passthrough-messages_cache_read",
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"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
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"model": "claude-sonnet-5",
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"endpoint": "/anthropic/v1/messages",
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"request": {
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"model": "$MODEL",
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"max_tokens": 412,
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"messages": [
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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": "cached text",
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"cache_control": {
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"type": "ephemeral"
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}
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}
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]
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}
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]
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},
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"response": {
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"content_type": "application/json",
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"body": {
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"id": "msg_$REQUEST_ID",
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"type": "message",
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"role": "assistant",
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"model": "claude-sonnet-5",
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"content": [
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{
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"type": "text",
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"text": "scripted response"
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}
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],
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"stop_reason": "end_turn",
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"stop_sequence": null,
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"usage": {
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"input_tokens": 640,
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"output_tokens": 380,
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"cache_read_input_tokens": 12288
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}
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}
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},
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"expected": {
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"spend": 0.0113064,
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"input_cost": 0.0056064,
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"output_cost": 0.0057,
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"prompt_tokens": 12928,
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"completion_tokens": 380,
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"cache_read_cost": 0.0036864,
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"breakdown_persisted": false,
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"cost_header": false
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}
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},
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{
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"name": "anthropic.claude-sonnet-5-v1:0-passthrough-converse",
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"covers": "quota_management.spend_tracking.cost_matrix.logs_cost",
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"model": "anthropic.claude-sonnet-5-v1:0",
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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": "9aad4de0556c 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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"allowed_openai_params": []
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},
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"response": {
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"content_type": "application/json",
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"body": {
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"output": {
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"message": {
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"role": "assistant",
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"content": [
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{
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"text": "scripted answer 9aad4de0556c"
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}
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]
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}
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},
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"stopReason": "end_turn",
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"usage": {
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"inputTokens": 1840,
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"outputTokens": 412,
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"totalTokens": 2252
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},
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"metrics": {
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"latencyMs": 42
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}
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}
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},
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"expected": {
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"spend": 0.01287,
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"input_cost": 0.006072,
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"output_cost": 0.006798,
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"prompt_tokens": 1840,
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"completion_tokens": 412,
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"cost_header": false
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},
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"endpoint": "/bedrock/model/$MODEL/converse"
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},
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{
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"name": "anthropic.claude-sonnet-5-v1:0-passthrough-converse_stream",
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"covers": "quota_management.spend_tracking.scripted_wire.logs_cost",
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"model": "anthropic.claude-sonnet-5-v1:0",
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"request": {
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"model": "$MODEL",
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"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": [
|
||||
{
|
||||
"type": "text",
|
||||
"text": "You are a deterministic pricing-harness assistant. Keep answers to a single short line."
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "text",
|
||||
"text": "a9257967d38a summarize the attached material in one line and name the city weather"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"stream": true,
|
||||
"stream_options": {
|
||||
"include_usage": true
|
||||
},
|
||||
"allowed_openai_params": []
|
||||
},
|
||||
"response": {
|
||||
"content_type": "application/vnd.amazon.eventstream",
|
||||
"events": [
|
||||
{
|
||||
"event_type": "messageStart",
|
||||
"payload": {
|
||||
"role": "assistant"
|
||||
}
|
||||
},
|
||||
{
|
||||
"event_type": "contentBlockDelta",
|
||||
"payload": {
|
||||
"delta": {
|
||||
"text": "scripted answer a9257967d38a"
|
||||
},
|
||||
"contentBlockIndex": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"event_type": "contentBlockStop",
|
||||
"payload": {
|
||||
"contentBlockIndex": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"event_type": "messageStop",
|
||||
"payload": {
|
||||
"stopReason": "end_turn"
|
||||
}
|
||||
},
|
||||
{
|
||||
"event_type": "metadata",
|
||||
"payload": {
|
||||
"usage": {
|
||||
"inputTokens": 1840,
|
||||
"outputTokens": 412,
|
||||
"totalTokens": 2252
|
||||
},
|
||||
"metrics": {
|
||||
"latencyMs": 42
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"expected": {
|
||||
"spend": 0.01287,
|
||||
"input_cost": 0.006072,
|
||||
"output_cost": 0.006798,
|
||||
"prompt_tokens": 1840,
|
||||
"completion_tokens": 412,
|
||||
"cost_header": false
|
||||
},
|
||||
"endpoint": "/bedrock/model/$MODEL/converse-stream"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
|
|||
|
|
@ -12,8 +12,10 @@ import zlib
|
|||
|
||||
import httpx
|
||||
import pytest
|
||||
from pydantic import JsonValue
|
||||
|
||||
from integration._support.client import JSON_OBJECT, Gateway
|
||||
from integration._support.upstream import delete_scenario, register_scenario
|
||||
from integration.cost_calculation.conftest import (
|
||||
CostBreakdown,
|
||||
approx_equal,
|
||||
|
|
@ -96,6 +98,16 @@ def _assert_stream_has_no_error(response_text: str) -> None:
|
|||
), f"stream carried an error event: {parsed}"
|
||||
|
||||
|
||||
def _replace_model(value: JsonValue, model_name: str) -> JsonValue:
|
||||
if isinstance(value, str):
|
||||
return value.replace("$MODEL", model_name)
|
||||
if isinstance(value, list):
|
||||
return [_replace_model(item, model_name) for item in value]
|
||||
if isinstance(value, dict):
|
||||
return {key: _replace_model(item, model_name) for key, item in value.items()}
|
||||
return value
|
||||
|
||||
|
||||
def _assert_breakdown(
|
||||
case: CostTrackingTestCase,
|
||||
expected: ExactExpected,
|
||||
|
|
@ -139,12 +151,12 @@ def _assert_breakdown(
|
|||
assert actual_component is not None and approx_equal(actual_component, expected_component), (
|
||||
f"{case.name}: {field} {actual_component} != expected {expected_component}"
|
||||
)
|
||||
if case.response.content_type == "application/json":
|
||||
if expected.cost_header and case.response.content_type == "application/json":
|
||||
header: Final = response.headers.get(header_name)
|
||||
assert header is not None and approx_equal(float(header), expected_component), (
|
||||
f"{case.name}: {header_name} {header} != expected {expected_component}"
|
||||
)
|
||||
if case.response.content_type == "application/json" and any(
|
||||
if expected.cost_header and case.response.content_type == "application/json" and any(
|
||||
component is not None
|
||||
for component in (
|
||||
expected.cache_read_cost,
|
||||
|
|
@ -171,11 +183,51 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
|
|||
marker: Final = sha256(case.name.encode()).hexdigest()[:12]
|
||||
with gateway.scenario() as scenario:
|
||||
key: Final = scenario.key()
|
||||
model_name: Final = register_scenario_deployment(scenario, case, marker, key)
|
||||
passthrough_provider: Final = case.passthrough_provider
|
||||
scenario_id: Final = f"sc-{marker}-{sha256(key.encode()).hexdigest()[:12]}"
|
||||
scenario_handle: Final = (
|
||||
register_scenario(scenario_id, case.response)
|
||||
if passthrough_provider in {"gemini", "anthropic"}
|
||||
else None
|
||||
)
|
||||
if scenario_handle is not None:
|
||||
scenario.cleanups.callback(delete_scenario, scenario_handle)
|
||||
model_name: Final = (
|
||||
case.model
|
||||
if passthrough_provider in {"gemini", "anthropic"}
|
||||
else register_scenario_deployment(scenario, case, marker, key)
|
||||
)
|
||||
request_model: Final = (
|
||||
case.model.rsplit("/", 1)[-1]
|
||||
if passthrough_provider in {"gemini", "anthropic"}
|
||||
else model_name
|
||||
)
|
||||
request_body: Final = JSON_OBJECT.validate_python(
|
||||
_replace_model(case.request, request_model)
|
||||
if passthrough_provider is not None
|
||||
else {**case.request, "model": model_name}
|
||||
)
|
||||
request_headers: Final = (
|
||||
{
|
||||
"x-pass-x-scripted-scenario": scenario_id,
|
||||
**(
|
||||
{"x-goog-api-key": key}
|
||||
if passthrough_provider == "gemini"
|
||||
else {}
|
||||
),
|
||||
}
|
||||
if passthrough_provider is not None
|
||||
else {}
|
||||
)
|
||||
request_path: Final = (
|
||||
case.endpoint.replace("$MODEL", request_model)
|
||||
if passthrough_provider is not None
|
||||
else case.endpoint
|
||||
)
|
||||
response: Final = (
|
||||
_multipart_request(gateway, case, model_name, key)
|
||||
if case.upload is not None
|
||||
else gateway.request("POST", case.endpoint, {**case.request, "model": model_name}, key=key)
|
||||
else gateway.request("POST", request_path, request_body, key=key, headers=request_headers)
|
||||
)
|
||||
if isinstance(case.expected, FailureExpected):
|
||||
assert response.status_code == case.expected.failure.status, (
|
||||
|
|
@ -220,9 +272,14 @@ def test_case_bills_expected_cost(gateway: Gateway, case: CostTrackingTestCase)
|
|||
)
|
||||
elif case.response.content_type == "application/json":
|
||||
header: Final = cast(str | None, response.headers.get("x-litellm-response-cost"))
|
||||
assert header is not None and approx_equal(float(header), expected.spend), (
|
||||
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
|
||||
)
|
||||
if expected.cost_header:
|
||||
assert header is not None and approx_equal(float(header), expected.spend), (
|
||||
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
|
||||
)
|
||||
elif header is not None:
|
||||
assert approx_equal(float(header), expected.spend), (
|
||||
f"{case.name}: x-litellm-response-cost {header} != expected {expected.spend}"
|
||||
)
|
||||
assert row.spend is not None and approx_equal(row.spend, expected.spend), (
|
||||
f"{case.name}: spend {row.spend} != expected {expected.spend} "
|
||||
f"(breakdown {row.breakdown.model_dump() if row.breakdown is not None else None})"
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue