## GetEnterpriseAIUsageTimeSeries `billing.get_enterprise_ai_usage_time_series(BillingGetEnterpriseAIUsageTimeSeriesParams**kwargs) -> BillingGetEnterpriseAIUsageTimeSeriesResponse` **post** `/gitpod.v1.BillingService/GetEnterpriseAIUsageTimeSeries` Returns daily enterprise AI usage totals for the organization. Each day reports BYOK token spend (cost and tokens) with per-user, per-team, and per-model breakdowns. Per-user entries cover the top spenders with the remainder aggregated into an "Others" bucket; usage not attributed to a user or service account appears only in the daily totals. The credits field is not populated by this endpoint. When filter.subject is set the response contains only that subject's usage: daily totals and the team breakdown are omitted, and the model breakdown covers the subject only. Use this method to: - Chart daily BYOK AI spend over a date range - Feed daily per-user usage into external dashboards - Restrict the response to a single user or service account Only available for enterprise organizations. ### Examples - Get daily usage for January: Returns one entry per day with per-user, per-team, and per-model breakdowns. Both dates are inclusive and the range must not exceed 31 days. ```yaml organizationId: "b0e12f6c-4c67-429d-a4a6-d9838b5da047" dateRange: startTime: "2024-01-01T00:00:00Z" endTime: "2024-01-31T00:00:00Z" ``` ### Authorization Requires `billing:read_usage` permission on the organization. ### Parameters - `date_range: DateRange` Date range for the daily usage series. Both start and end dates are inclusive. Time-of-day is ignored; dates are truncated to midnight in the specified timezone. - `end_time: datetime` End time of the date range (exclusive). - `start_time: datetime` Start time of the date range (inclusive). - `organization_id: str` - `filter: Optional[EnterpriseAIUsageTimeSeriesFilterParam]` - `subject: Optional[Subject]` Restrict the per-user breakdown to a single subject. - `id: Optional[str]` id is the UUID of the subject - `principal: Optional[Principal]` Principal is the principal of the subject - `"PRINCIPAL_UNSPECIFIED"` - `"PRINCIPAL_ACCOUNT"` - `"PRINCIPAL_USER"` - `"PRINCIPAL_RUNNER"` - `"PRINCIPAL_ENVIRONMENT"` - `"PRINCIPAL_SERVICE_ACCOUNT"` - `"PRINCIPAL_RUNNER_MANAGER"` - `timezone: Optional[str]` IANA timezone name used to bucket daily usage. When empty, defaults to "UTC". ### Returns - `class BillingGetEnterpriseAIUsageTimeSeriesResponse: …` - `calculated_at: Optional[datetime]` calculated_at is the time through which usage has been calculated. Usage after this timestamp may still be processing. - `daily_usage: Optional[List[DailyEnterpriseAIUsage]]` - `date: datetime` A Timestamp represents a point in time independent of any time zone or local calendar, encoded as a count of seconds and fractions of seconds at nanosecond resolution. The count is relative to an epoch at UTC midnight on January 1, 1970, in the proleptic Gregorian calendar which extends the Gregorian calendar backwards to year one. All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap second table is needed for interpretation, using a [24-hour linear smear](https://developers.google.com/time/smear). The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By restricting to that range, we ensure that we can convert to and from [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings. # Examples Example 1: Compute Timestamp from POSIX `time()`. Timestamp timestamp; timestamp.set_seconds(time(NULL)); timestamp.set_nanos(0); Example 2: Compute Timestamp from POSIX `gettimeofday()`. struct timeval tv; gettimeofday(&tv, NULL); Timestamp timestamp; timestamp.set_seconds(tv.tv_sec); timestamp.set_nanos(tv.tv_usec * 1000); Example 3: Compute Timestamp from Win32 `GetSystemTimeAsFileTime()`. FILETIME ft; GetSystemTimeAsFileTime(&ft); UINT64 ticks = (((UINT64)ft.dwHighDateTime) << 32) | ft.dwLowDateTime; // A Windows tick is 100 nanoseconds. Windows epoch 1601-01-01T00:00:00Z // is 11644473600 seconds before Unix epoch 1970-01-01T00:00:00Z. Timestamp timestamp; timestamp.set_seconds((INT64) ((ticks / 10000000) - 11644473600LL)); timestamp.set_nanos((INT32) ((ticks % 10000000) * 100)); Example 4: Compute Timestamp from Java `System.currentTimeMillis()`. long millis = System.currentTimeMillis(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(millis / 1000) .setNanos((int) ((millis % 1000) * 1000000)).build(); Example 5: Compute Timestamp from Java `Instant.now()`. Instant now = Instant.now(); Timestamp timestamp = Timestamp.newBuilder().setSeconds(now.getEpochSecond()) .setNanos(now.getNano()).build(); Example 6: Compute Timestamp from current time in Python. timestamp = Timestamp() timestamp.GetCurrentTime() # JSON Mapping In JSON format, the Timestamp type is encoded as a string in the [RFC 3339](https://www.ietf.org/rfc/rfc3339.txt) format. That is, the format is "{year}-{month}-{day}T{hour}:{min}:{sec}[.{frac_sec}]Z" where {year} is always expressed using four digits while {month}, {day}, {hour}, {min}, and {sec} are zero-padded to two digits each. The fractional seconds, which can go up to 9 digits (i.e. up to 1 nanosecond resolution), are optional. The "Z" suffix indicates the timezone ("UTC"); the timezone is required. A proto3 JSON serializer should always use UTC (as indicated by "Z") when printing the Timestamp type and a proto3 JSON parser should be able to accept both UTC and other timezones (as indicated by an offset). For example, "2017-01-15T01:30:15.01Z" encodes 15.01 seconds past 01:30 UTC on January 15, 2017. In JavaScript, one can convert a Date object to this format using the standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString) method. In Python, a standard `datetime.datetime` object can be converted to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use the Joda Time's [`ISODateTimeFormat.dateTime()`](http://joda-time.sourceforge.net/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime\(\)) to obtain a formatter capable of generating timestamps in this format. - `budget: Optional[EnterpriseAIUsageBudget]` budget is unset when no monthly budget applies to the organization. - `currency: Optional[BillingCurrency]` - `"BILLING_CURRENCY_UNSPECIFIED"` - `"BILLING_CURRENCY_USD"` - `"BILLING_CURRENCY_EUR"` - `"BILLING_CURRENCY_GBP"` - `monthly_cost_limit_microunits: Optional[str]` - `monthly_credit_limit: Optional[str]` - `month_to_date_usage: Optional[EnterpriseAIUsage]` - `cost_microunits: Optional[str]` - `credits: Optional[float]` - `currency: Optional[BillingCurrency]` - `tokens: Optional[EnterpriseAITokenUsage]` - `cache_tokens: Optional[str]` - `input_tokens: Optional[str]` - `output_tokens: Optional[str]` - `total_tokens: Optional[str]` - `source: Optional[EnterpriseAIUsageBudgetSource]` - `"ENTERPRISE_AI_USAGE_BUDGET_SOURCE_UNSPECIFIED"` - `"ENTERPRISE_AI_USAGE_BUDGET_SOURCE_ORGANIZATION"` - `"ENTERPRISE_AI_USAGE_BUDGET_SOURCE_TEAM"` - `utilization_percent: Optional[float]` - `team_usage: Optional[List[TeamEnterpriseAIUsage]]` - `budget: Optional[EnterpriseAIUsageBudget]` budget is unset when no monthly budget applies to this team. - `display_name: Optional[str]` - `team_id: Optional[str]` - `usage: Optional[EnterpriseAIUsage]` - `usage_by_token_type: Optional[List[EnterpriseAIUsageByTokenType]]` - `token_type: Optional[ByokRateCardTokenType]` - `"BYOK_RATE_CARD_TOKEN_TYPE_UNSPECIFIED"` - `"BYOK_RATE_CARD_TOKEN_TYPE_INPUT"` - `"BYOK_RATE_CARD_TOKEN_TYPE_OUTPUT"` - `"BYOK_RATE_CARD_TOKEN_TYPE_CACHE_READ"` - `"BYOK_RATE_CARD_TOKEN_TYPE_CACHE_WRITE"` - `usage: Optional[EnterpriseAIUsage]` - `usage: Optional[EnterpriseAIUsage]` - `usage_by_model: Optional[List[EnterpriseAIUsageByModel]]` Usage for this day broken down by model. When the request filters by subject, contains only that subject's model usage. - `model: Optional[str]` - `unpriced_usage: Optional[EnterpriseAIUsage]` Usage excluded from spend because no matching BYOK rate was configured. - `unpriced_usage_by_token_type: Optional[List[EnterpriseAIUsageByTokenType]]` - `token_type: Optional[ByokRateCardTokenType]` - `usage: Optional[EnterpriseAIUsage]` - `usage: Optional[EnterpriseAIUsage]` - `usage_by_token_type: Optional[List[EnterpriseAIUsageByTokenType]]` - `token_type: Optional[ByokRateCardTokenType]` - `usage: Optional[EnterpriseAIUsage]` - `user_usage: Optional[List[UserEnterpriseAIUsage]]` - `display_name: Optional[str]` - `usage: Optional[EnterpriseAIUsage]` - `user_id: Optional[str]` Empty when representing the "Others" aggregation bucket. ### Example ```python import os from datetime import datetime from gitpod import Gitpod client = Gitpod( bearer_token=os.environ.get("GITPOD_API_KEY"), # This is the default and can be omitted ) response = client.billing.get_enterprise_ai_usage_time_series( date_range={ "end_time": datetime.fromisoformat("2024-01-31T00:00:00"), "start_time": datetime.fromisoformat("2024-01-01T00:00:00"), }, organization_id="b0e12f6c-4c67-429d-a4a6-d9838b5da047", ) print(response.calculated_at) ``` #### Response ```json { "calculatedAt": "2019-12-27T18:11:19.117Z", "dailyUsage": [ { "date": "2019-12-27T18:11:19.117Z", "budget": { "currency": "BILLING_CURRENCY_UNSPECIFIED", "monthlyCostLimitMicrounits": "monthlyCostLimitMicrounits", "monthlyCreditLimit": "monthlyCreditLimit", "monthToDateUsage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "source": "ENTERPRISE_AI_USAGE_BUDGET_SOURCE_UNSPECIFIED", "utilizationPercent": 0 }, "teamUsage": [ { "budget": { "currency": "BILLING_CURRENCY_UNSPECIFIED", "monthlyCostLimitMicrounits": "monthlyCostLimitMicrounits", "monthlyCreditLimit": "monthlyCreditLimit", "monthToDateUsage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "source": "ENTERPRISE_AI_USAGE_BUDGET_SOURCE_UNSPECIFIED", "utilizationPercent": 0 }, "displayName": "displayName", "teamId": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "usageByTokenType": [ { "tokenType": "BYOK_RATE_CARD_TOKEN_TYPE_UNSPECIFIED", "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } } } ] } ], "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "usageByModel": [ { "model": "model", "unpricedUsage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "unpricedUsageByTokenType": [ { "tokenType": "BYOK_RATE_CARD_TOKEN_TYPE_UNSPECIFIED", "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } } } ], "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "usageByTokenType": [ { "tokenType": "BYOK_RATE_CARD_TOKEN_TYPE_UNSPECIFIED", "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } } } ] } ], "userUsage": [ { "displayName": "displayName", "usage": { "costMicrounits": "costMicrounits", "credits": 0, "currency": "BILLING_CURRENCY_UNSPECIFIED", "tokens": { "cacheTokens": "cacheTokens", "inputTokens": "inputTokens", "outputTokens": "outputTokens", "totalTokens": "totalTokens" } }, "userId": "userId" } ] } ] } ```