fix(usage): canonicalize cached token totals

This commit is contained in:
elky
2026-07-16 16:38:30 +08:00
parent e369e4aab1
commit 8fe4d24408
17 changed files with 1804 additions and 1124 deletions
@@ -0,0 +1,370 @@
-- Rebuild the canonical billing view so cached input is counted exactly once.
CREATE OR REPLACE VIEW public.usage_billing_facts AS
SELECT
usage_rows.id,
usage_rows.request_id,
usage_rows.user_id,
usage_rows.api_key_id,
usage_rows.username,
usage_rows.api_key_name,
usage_rows.provider_name,
usage_rows.model,
usage_rows.target_model,
usage_rows.provider_id,
usage_rows.provider_endpoint_id,
usage_rows.provider_api_key_id,
usage_rows.request_type,
usage_rows.api_format,
usage_rows.api_family,
usage_rows.endpoint_kind,
usage_rows.endpoint_api_format,
usage_rows.provider_api_family,
usage_rows.provider_endpoint_kind,
COALESCE(usage_rows.has_format_conversion, FALSE) AS has_format_conversion,
COALESCE(usage_rows.is_stream, FALSE) AS is_stream,
usage_rows.status_code,
usage_rows.error_message,
usage_rows.error_category,
usage_rows.response_time_ms,
usage_rows.first_byte_time_ms,
usage_rows.status,
COALESCE(settlement.billing_status, usage_rows.billing_status) AS billing_status,
usage_rows.created_at,
COALESCE(settlement.finalized_at, usage_rows.finalized_at) AS finalized_at,
GREATEST(COALESCE(settlement.billing_input_tokens, usage_rows.input_tokens, 0), 0)::bigint
AS input_tokens,
GREATEST(
COALESCE(
settlement.billing_effective_input_tokens,
CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
= 'openai'
AND (
GREATEST(COALESCE(usage_rows.cache_creation_input_tokens, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_5m, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_1h, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) > 0
)
THEN GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('gemini', 'google')
AND GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) > 0
THEN GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
END
),
0
)::bigint AS effective_input_tokens,
GREATEST(COALESCE(settlement.billing_output_tokens, usage_rows.output_tokens, 0), 0)::bigint
AS output_tokens,
GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
),
0
)::bigint AS cache_creation_input_tokens,
GREATEST(
COALESCE(
settlement.billing_cache_creation_5m_tokens,
usage_rows.cache_creation_input_tokens_5m,
0
),
0
)::bigint AS cache_creation_input_tokens_5m,
GREATEST(
COALESCE(
settlement.billing_cache_creation_1h_tokens,
usage_rows.cache_creation_input_tokens_1h,
0
),
0
)::bigint AS cache_creation_input_tokens_1h,
GREATEST(COALESCE(settlement.billing_cache_read_tokens, usage_rows.cache_read_input_tokens, 0), 0)::bigint
AS cache_read_input_tokens,
GREATEST(
COALESCE(
CASE
WHEN settlement.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(settlement.billing_effective_input_tokens, 0)
+ GREATEST(COALESCE(settlement.billing_output_tokens, usage_rows.output_tokens, 0), 0)
+ GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
settlement.billing_cache_read_tokens,
usage_rows.cache_read_input_tokens,
0
),
0
)
WHEN settlement.billing_total_input_context IS NOT NULL
THEN GREATEST(settlement.billing_total_input_context, 0)
+ GREATEST(COALESCE(settlement.billing_output_tokens, usage_rows.output_tokens, 0), 0)
END,
NULLIF(GREATEST(COALESCE(usage_rows.total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ GREATEST(COALESCE(usage_rows.output_tokens, 0), 0)
ELSE GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ GREATEST(COALESCE(usage_rows.output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
END,
0
),
0
)::bigint AS total_tokens,
GREATEST(
COALESCE(
CASE
WHEN settlement.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(settlement.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
settlement.billing_cache_read_tokens,
usage_rows.cache_read_input_tokens,
0
),
0
)
END,
settlement.billing_total_input_context,
CASE
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
= 'openai'
THEN CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(usage_rows.cache_creation_input_tokens, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_5m, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_1h, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
END
+ GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('gemini', 'google')
THEN CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
END
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
END,
0
),
0
)::bigint AS total_input_context,
COALESCE(CAST(usage_rows.input_cost_usd AS DOUBLE PRECISION), 0) AS input_cost_usd,
COALESCE(CAST(usage_rows.output_cost_usd AS DOUBLE PRECISION), 0) AS output_cost_usd,
COALESCE(
CAST(settlement.billing_cache_creation_cost_usd AS DOUBLE PRECISION),
CAST(usage_rows.cache_creation_cost_usd AS DOUBLE PRECISION),
0
) AS cache_creation_cost_usd,
COALESCE(
CAST(settlement.billing_cache_read_cost_usd AS DOUBLE PRECISION),
CAST(usage_rows.cache_read_cost_usd AS DOUBLE PRECISION),
0
) AS cache_read_cost_usd,
COALESCE(
CAST(settlement.billing_total_cost_usd AS DOUBLE PRECISION),
CAST(usage_rows.total_cost_usd AS DOUBLE PRECISION),
0
) AS total_cost_usd,
COALESCE(
CAST(settlement.billing_actual_total_cost_usd AS DOUBLE PRECISION),
CAST(usage_rows.actual_total_cost_usd AS DOUBLE PRECISION),
0
) AS actual_total_cost_usd,
COALESCE(
CAST(settlement.output_price_per_1m AS DOUBLE PRECISION),
CAST(usage_rows.output_price_per_1m AS DOUBLE PRECISION)
) AS output_price_per_1m,
COALESCE(
CAST(settlement.input_price_per_1m AS DOUBLE PRECISION),
CAST(usage_rows.input_price_per_1m AS DOUBLE PRECISION)
) AS input_price_per_1m,
COALESCE(
CAST(settlement.cache_creation_price_per_1m AS DOUBLE PRECISION),
CAST(usage_rows.cache_creation_price_per_1m AS DOUBLE PRECISION)
) AS cache_creation_price_per_1m,
COALESCE(
CAST(settlement.cache_read_price_per_1m AS DOUBLE PRECISION),
CAST(usage_rows.cache_read_price_per_1m AS DOUBLE PRECISION)
) AS cache_read_price_per_1m,
COALESCE(
CAST(settlement.price_per_request AS DOUBLE PRECISION),
CAST(usage_rows.price_per_request AS DOUBLE PRECISION)
) AS price_per_request,
settlement.billing_pricing_source,
settlement.billing_rule_id,
settlement.billing_rule_version,
COALESCE(usage_rows.upstream_is_stream, COALESCE(usage_rows.is_stream, FALSE)) AS upstream_is_stream
FROM public."usage" AS usage_rows
LEFT JOIN public.usage_settlement_snapshots AS settlement
ON settlement.request_id = usage_rows.request_id;
COMMENT ON VIEW public.usage_billing_facts IS
'Canonical billing read model. Token/cost fields prefer usage_settlement_snapshots.billing_* and fall back to deprecated usage mirrors for legacy rows.';
COMMENT ON COLUMN public.usage_billing_facts.upstream_is_stream IS
'Resolved upstream stream mode from public.usage.upstream_is_stream, falling back to usage.is_stream for legacy rows.';
@@ -3178,7 +3178,14 @@ SELECT
COALESCE(SUM(total_requests), 0)::BIGINT AS total_requests,
COALESCE(SUM(input_tokens), 0)::BIGINT AS input_tokens,
COALESCE(SUM(output_tokens), 0)::BIGINT AS output_tokens,
COALESCE(SUM(input_tokens + output_tokens), 0)::BIGINT AS recorded_total_tokens,
COALESCE(SUM(
CASE
WHEN effective_input_tokens = 0 AND total_input_context = 0 AND input_tokens > 0
THEN input_tokens
ELSE effective_input_tokens
END
+ output_tokens + cache_creation_tokens + cache_read_tokens
), 0)::BIGINT AS recorded_total_tokens,
COALESCE(SUM(cache_creation_tokens), 0)::BIGINT AS cache_creation_tokens,
COALESCE(SUM(cache_creation_ephemeral_5m_tokens), 0)::BIGINT
AS cache_creation_ephemeral_5m_tokens,
@@ -3210,7 +3217,14 @@ SELECT
COALESCE(SUM(total_requests), 0)::BIGINT AS total_requests,
COALESCE(SUM(input_tokens), 0)::BIGINT AS input_tokens,
COALESCE(SUM(output_tokens), 0)::BIGINT AS output_tokens,
COALESCE(SUM(input_tokens + output_tokens), 0)::BIGINT AS recorded_total_tokens,
COALESCE(SUM(
CASE
WHEN effective_input_tokens = 0 AND total_input_context = 0 AND input_tokens > 0
THEN input_tokens
ELSE effective_input_tokens
END
+ output_tokens + cache_creation_tokens + cache_read_tokens
), 0)::BIGINT AS recorded_total_tokens,
COALESCE(SUM(cache_creation_tokens), 0)::BIGINT AS cache_creation_tokens,
COALESCE(SUM(cache_creation_ephemeral_5m_tokens), 0)::BIGINT
AS cache_creation_ephemeral_5m_tokens,
@@ -3257,18 +3271,8 @@ SELECT
COALESCE(SUM(GREATEST(COALESCE("usage".input_tokens, 0), 0)), 0)::BIGINT AS input_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".output_tokens, 0), 0)), 0)::BIGINT AS output_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".total_tokens, 0), 0)), 0)::BIGINT AS recorded_total_tokens,
COALESCE(SUM(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
), 0)::BIGINT AS cache_creation_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".cache_creation_input_tokens, 0), 0)), 0)::BIGINT
AS cache_creation_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".cache_creation_input_tokens_5m, 0), 0)), 0)::BIGINT
AS cache_creation_ephemeral_5m_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".cache_creation_input_tokens_1h, 0), 0)), 0)::BIGINT
@@ -3945,80 +3949,10 @@ SELECT
COALESCE(SUM(GREATEST(COALESCE("usage".input_tokens, 0), 0)), 0)::BIGINT AS input_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)), 0)::BIGINT
AS cache_read_tokens,
COALESCE(SUM(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
), 0)::BIGINT AS cache_creation_tokens,
COALESCE(SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE("usage".input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE("usage".input_tokens, 0), 0)
- GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
END
END
), 0)::BIGINT AS total_input_context,
COALESCE(SUM(GREATEST(COALESCE("usage".cache_creation_input_tokens, 0), 0)), 0)::BIGINT
AS cache_creation_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".total_input_context, 0), 0)), 0)::BIGINT
AS total_input_context,
COALESCE(SUM(COALESCE(CAST("usage".cache_read_cost_usd AS DOUBLE PRECISION), 0)), 0)
AS cache_read_cost_usd,
COALESCE(SUM(COALESCE(CAST("usage".cache_creation_cost_usd AS DOUBLE PRECISION), 0)), 0)
@@ -4887,7 +4821,7 @@ SELECT
{group_column} AS group_key,
COALESCE(SUM(total_requests), 0)::BIGINT AS request_count,
COALESCE(SUM(input_tokens), 0)::BIGINT AS input_tokens,
COALESCE(SUM(effective_input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens), 0)::BIGINT AS total_tokens,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens,
COALESCE(SUM(output_tokens), 0)::BIGINT AS output_tokens,
COALESCE(SUM(effective_input_tokens), 0)::BIGINT AS effective_input_tokens,
COALESCE(SUM(total_input_context), 0)::BIGINT AS total_input_context,
@@ -4944,18 +4878,11 @@ WITH filtered_usage AS (
SELECT
{group_key_expr} AS group_key,
GREATEST(COALESCE("usage".input_tokens, 0), 0) AS input_tokens,
GREATEST(COALESCE("usage".effective_input_tokens, 0), 0) AS effective_input_tokens,
GREATEST(COALESCE("usage".output_tokens, 0), 0) AS output_tokens,
GREATEST(COALESCE("usage".total_tokens, 0), 0) AS total_tokens,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END AS cache_creation_tokens,
GREATEST(COALESCE("usage".total_input_context, 0), 0) AS total_input_context,
GREATEST(COALESCE("usage".cache_creation_input_tokens, 0), 0) AS cache_creation_tokens,
GREATEST(COALESCE("usage".cache_creation_input_tokens_5m, 0), 0)
AS cache_creation_ephemeral_5m_tokens,
GREATEST(COALESCE("usage".cache_creation_input_tokens_1h, 0), 0)
@@ -4995,8 +4922,7 @@ WITH filtered_usage AS (
AND "usage".response_time_ms IS NOT NULL
THEN 1
ELSE 0
END AS successful_response_time_samples,
COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '') AS normalized_api_format
END AS successful_response_time_samples
FROM usage_billing_facts AS "usage"
"#,
));
@@ -5054,8 +4980,10 @@ normalized_usage AS (
SELECT
group_key,
input_tokens,
effective_input_tokens,
total_tokens,
output_tokens,
total_input_context,
cache_creation_tokens,
cache_creation_ephemeral_5m_tokens,
cache_creation_ephemeral_1h_tokens,
@@ -5066,49 +4994,7 @@ normalized_usage AS (
response_time_ms,
response_time_samples,
successful_response_time_ms,
successful_response_time_samples,
CASE
WHEN input_tokens <= 0 THEN 0
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
= 'openai'
AND (cache_creation_tokens > 0 OR cache_read_tokens > 0)
THEN GREATEST(input_tokens - cache_creation_tokens - cache_read_tokens, 0)
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('gemini', 'google')
AND cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_read_tokens, 0)
ELSE input_tokens
END AS effective_input_tokens,
CASE
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('claude', 'anthropic')
THEN input_tokens + cache_creation_tokens + cache_read_tokens
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
= 'openai'
THEN (
CASE
WHEN input_tokens <= 0 THEN 0
WHEN cache_creation_tokens > 0 OR cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_creation_tokens - cache_read_tokens, 0)
ELSE input_tokens
END
) + cache_creation_tokens + cache_read_tokens
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('gemini', 'google')
THEN (
CASE
WHEN input_tokens <= 0 THEN 0
WHEN cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_read_tokens, 0)
ELSE input_tokens
END
) + cache_read_tokens
ELSE CASE
WHEN cache_creation_tokens > 0
THEN input_tokens + cache_creation_tokens + cache_read_tokens
ELSE input_tokens + cache_read_tokens
END
END AS total_input_context
successful_response_time_samples
FROM filtered_usage
)
SELECT
@@ -6801,33 +6687,7 @@ SELECT
{group_key_expr} AS group_key,
MAX({legacy_name_expr}) AS legacy_name,
COUNT(*)::BIGINT AS request_count,
COALESCE(SUM(
CASE
WHEN GREATEST(COALESCE("usage".input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE("usage".input_tokens, 0), 0)
- GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
END
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
+ CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
), 0)::BIGINT AS total_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".total_tokens, 0), 0)), 0)::BIGINT AS total_tokens,
COALESCE(SUM(COALESCE(CAST("usage".total_cost_usd AS DOUBLE PRECISION), 0)), 0)
AS total_cost_usd
FROM usage_billing_facts AS "usage"
@@ -6983,10 +6843,7 @@ SELECT
user_id AS group_key,
MAX(NULLIF(BTRIM(username), '')) AS legacy_name,
COALESCE(SUM(total_requests), 0)::BIGINT AS request_count,
COALESCE(
SUM(effective_input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens),
0
)::BIGINT AS total_tokens,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens,
CAST(COALESCE(SUM(total_cost), 0) AS DOUBLE PRECISION) AS total_cost_usd
FROM stats_user_daily_provider
WHERE date >=
@@ -7012,10 +6869,7 @@ SELECT
user_id AS group_key,
MAX(NULLIF(BTRIM(username), '')) AS legacy_name,
COALESCE(SUM(total_requests), 0)::BIGINT AS request_count,
COALESCE(
SUM(effective_input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens),
0
)::BIGINT AS total_tokens,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens,
CAST(COALESCE(SUM(total_cost), 0) AS DOUBLE PRECISION) AS total_cost_usd
FROM stats_user_daily_model
WHERE date >=
@@ -7300,25 +7154,16 @@ WITH filtered_usage AS (
{provider_display_name_expr} AS provider_display_name,
{provider_identity_source_expr} AS provider_identity_source,
COALESCE("usage".api_format, 'unknown') AS api_format_group_key,
GREATEST(COALESCE("usage".input_tokens, 0), 0) AS input_tokens,
GREATEST(COALESCE("usage".effective_input_tokens, 0), 0) AS effective_input_tokens,
GREATEST(COALESCE("usage".output_tokens, 0), 0) AS output_tokens,
GREATEST(COALESCE("usage".total_tokens, 0), 0) AS total_tokens,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END AS cache_creation_tokens,
GREATEST(COALESCE("usage".total_input_context, 0), 0) AS total_input_context,
GREATEST(COALESCE("usage".cache_creation_input_tokens, 0), 0) AS cache_creation_tokens,
GREATEST(COALESCE("usage".cache_creation_input_tokens_5m, 0), 0)
AS cache_creation_ephemeral_5m_tokens,
GREATEST(COALESCE("usage".cache_creation_input_tokens_1h, 0), 0)
AS cache_creation_ephemeral_1h_tokens,
GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0) AS cache_read_tokens,
COALESCE("usage".endpoint_api_format, "usage".api_format) AS normalized_api_format,
COALESCE(CAST("usage".total_cost_usd AS DOUBLE PRECISION), 0) AS total_cost_usd,
COALESCE(CAST("usage".actual_total_cost_usd AS DOUBLE PRECISION), 0) AS actual_total_cost_usd,
GREATEST(COALESCE("usage".response_time_ms, 0), 0) AS response_time_ms,
@@ -7343,6 +7188,8 @@ normalized_usage AS (
{secondary_name_expr} AS secondary_name,
total_tokens,
output_tokens,
effective_input_tokens,
total_input_context,
cache_creation_tokens,
cache_creation_ephemeral_5m_tokens,
cache_creation_ephemeral_1h_tokens,
@@ -7350,49 +7197,7 @@ normalized_usage AS (
total_cost_usd,
actual_total_cost_usd,
response_time_ms,
success_flag,
CASE
WHEN input_tokens <= 0 THEN 0
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
= 'openai'
AND (cache_creation_tokens > 0 OR cache_read_tokens > 0)
THEN GREATEST(input_tokens - cache_creation_tokens - cache_read_tokens, 0)
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('gemini', 'google')
AND cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_read_tokens, 0)
ELSE input_tokens
END AS effective_input_tokens,
CASE
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('claude', 'anthropic')
THEN input_tokens + cache_creation_tokens + cache_read_tokens
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
= 'openai'
THEN (
CASE
WHEN input_tokens <= 0 THEN 0
WHEN cache_creation_tokens > 0 OR cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_creation_tokens - cache_read_tokens, 0)
ELSE input_tokens
END
) + cache_creation_tokens + cache_read_tokens
WHEN split_part(lower(COALESCE(normalized_api_format, '')), ':', 1)
IN ('gemini', 'google')
THEN (
CASE
WHEN input_tokens <= 0 THEN 0
WHEN cache_read_tokens > 0
THEN GREATEST(input_tokens - cache_read_tokens, 0)
ELSE input_tokens
END
) + cache_read_tokens
ELSE CASE
WHEN cache_creation_tokens > 0
THEN input_tokens + cache_creation_tokens + cache_read_tokens
ELSE input_tokens + cache_read_tokens
END
END AS total_input_context
success_flag
FROM filtered_usage
),
aggregated_usage AS (
@@ -7552,14 +7357,7 @@ LIMIT $3
r#"SELECT
DATE("usage".created_at) AS day,
COUNT(*)::BIGINT AS requests,
COALESCE(SUM("usage".input_tokens + "usage".output_tokens
+ CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (COALESCE("usage".cache_creation_input_tokens_5m, 0) + COALESCE("usage".cache_creation_input_tokens_1h, 0)) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0) + COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END
+ COALESCE("usage".cache_read_input_tokens, 0)), 0)::BIGINT AS total_tokens,
COALESCE(SUM(GREATEST(COALESCE("usage".total_tokens, 0), 0)), 0)::BIGINT AS total_tokens,
COALESCE(SUM(CAST("usage".total_cost_usd AS DOUBLE PRECISION)), 0) AS total_cost_usd,
COALESCE(SUM(CAST("usage".actual_total_cost_usd AS DOUBLE PRECISION)), 0) AS actual_total_cost_usd
FROM usage_billing_facts AS "usage"
@@ -7803,14 +7601,9 @@ ORDER BY api_key_id ASC
SELECT
api_key_id,
COALESCE(
SUM(
COALESCE(
total_tokens,
COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)
)
),
SUM(GREATEST(COALESCE(total_tokens, 0), 0)),
0
) AS total_tokens
)::BIGINT AS total_tokens
FROM usage_billing_facts AS "usage"
WHERE api_key_id = ANY(
"#,
@@ -11281,9 +11074,12 @@ fn usage_total_input_context(
.saturating_add(cache_creation_tokens)
.saturating_add(cache_read_tokens),
),
"openai" | "gemini" | "google" => {
Some(effective_input_tokens.saturating_add(cache_read_tokens))
}
"openai" => Some(
effective_input_tokens
.saturating_add(cache_creation_tokens)
.saturating_add(cache_read_tokens),
),
"gemini" | "google" => Some(effective_input_tokens.saturating_add(cache_read_tokens)),
_ => Some(
input_tokens
.saturating_add(cache_creation_tokens)
@@ -24,27 +24,92 @@ SELECT
CAST(COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens) AS INTEGER) AS output_tokens,
CAST(COALESCE(
CASE
WHEN usage_settlement_snapshots.billing_input_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_output_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_read_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_input_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_output_tokens, 0)
+ COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0),
WHEN usage_settlement_snapshots.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_read_tokens,
"usage".cache_read_input_tokens,
0
),
0
)
WHEN usage_settlement_snapshots.billing_total_input_context IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_total_input_context, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ COALESCE(usage_settlement_snapshots.billing_cache_read_tokens, 0)
END,
"usage".total_tokens
NULLIF(GREATEST(COALESCE("usage".total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
END
) AS INTEGER) AS total_tokens,
CAST(COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
"usage".cache_creation_input_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
) AS INTEGER) AS cache_creation_input_tokens,
CAST(COALESCE(
@@ -24,27 +24,92 @@ SELECT
CAST(COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens) AS INTEGER) AS output_tokens,
CAST(COALESCE(
CASE
WHEN usage_settlement_snapshots.billing_input_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_output_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_read_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_input_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_output_tokens, 0)
+ COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0),
WHEN usage_settlement_snapshots.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_read_tokens,
"usage".cache_read_input_tokens,
0
),
0
)
WHEN usage_settlement_snapshots.billing_total_input_context IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_total_input_context, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ COALESCE(usage_settlement_snapshots.billing_cache_read_tokens, 0)
END,
"usage".total_tokens
NULLIF(GREATEST(COALESCE("usage".total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
END
) AS INTEGER) AS total_tokens,
CAST(COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
"usage".cache_creation_input_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
) AS INTEGER) AS cache_creation_input_tokens,
CAST(COALESCE(
@@ -24,27 +24,92 @@ SELECT
CAST(COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens) AS INTEGER) AS output_tokens,
CAST(COALESCE(
CASE
WHEN usage_settlement_snapshots.billing_input_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_output_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_read_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_input_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_output_tokens, 0)
+ COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0),
WHEN usage_settlement_snapshots.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_read_tokens,
"usage".cache_read_input_tokens,
0
),
0
)
WHEN usage_settlement_snapshots.billing_total_input_context IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_total_input_context, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ COALESCE(usage_settlement_snapshots.billing_cache_read_tokens, 0)
END,
"usage".total_tokens
NULLIF(GREATEST(COALESCE("usage".total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
END
) AS INTEGER) AS total_tokens,
CAST(COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
"usage".cache_creation_input_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
) AS INTEGER) AS cache_creation_input_tokens,
CAST(COALESCE(
@@ -24,27 +24,92 @@ SELECT
CAST(COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens) AS INTEGER) AS output_tokens,
CAST(COALESCE(
CASE
WHEN usage_settlement_snapshots.billing_input_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_output_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_read_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_input_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_output_tokens, 0)
+ COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0),
WHEN usage_settlement_snapshots.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
usage_settlement_snapshots.billing_cache_read_tokens,
"usage".cache_read_input_tokens,
0
),
0
)
WHEN usage_settlement_snapshots.billing_total_input_context IS NOT NULL
THEN GREATEST(usage_settlement_snapshots.billing_total_input_context, 0)
+ GREATEST(
COALESCE(usage_settlement_snapshots.billing_output_tokens, "usage".output_tokens, 0),
0
)
+ COALESCE(usage_settlement_snapshots.billing_cache_read_tokens, 0)
END,
"usage".total_tokens
NULLIF(GREATEST(COALESCE("usage".total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE("usage".endpoint_api_format, "usage".api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
ELSE GREATEST(COALESCE("usage".input_tokens, 0), 0)
+ GREATEST(COALESCE("usage".output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE("usage".cache_read_input_tokens, 0), 0)
END
) AS INTEGER) AS total_tokens,
CAST(COALESCE(
usage_settlement_snapshots.billing_cache_creation_tokens,
"usage".cache_creation_input_tokens,
CASE
WHEN usage_settlement_snapshots.billing_cache_creation_5m_tokens IS NOT NULL
OR usage_settlement_snapshots.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(usage_settlement_snapshots.billing_cache_creation_5m_tokens, 0)
+ COALESCE(usage_settlement_snapshots.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE("usage".cache_creation_input_tokens, 0) = 0
AND (
COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE("usage".cache_creation_input_tokens_5m, 0)
+ COALESCE("usage".cache_creation_input_tokens_1h, 0)
ELSE COALESCE("usage".cache_creation_input_tokens, 0)
END,
0
) AS INTEGER) AS cache_creation_input_tokens,
CAST(COALESCE(
@@ -4,10 +4,7 @@ WITH aggregated AS (
COUNT(*)::BIGINT AS total_requests,
COALESCE(SUM(
GREATEST(
COALESCE(
total_tokens,
COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)
),
COALESCE(total_tokens, 0),
0
)::BIGINT
), 0)::BIGINT AS total_tokens,
@@ -27,10 +27,7 @@ WITH aggregated AS (
CASE
WHEN status IN ('pending', 'streaming') THEN 0
ELSE GREATEST(
COALESCE(
total_tokens,
COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)
),
COALESCE(total_tokens, 0),
0
)::BIGINT
END
@@ -2,13 +2,10 @@ SELECT
api_key_id,
COALESCE(
SUM(
COALESCE(
total_tokens,
COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)
)
GREATEST(COALESCE(total_tokens, 0), 0)
),
0
) AS total_tokens
)::BIGINT AS total_tokens
FROM usage_billing_facts AS "usage"
WHERE api_key_id = ANY($1::TEXT[])
GROUP BY api_key_id
@@ -7,11 +7,11 @@ use super::{
inflate_usage_json_value, prepare_request_metadata_for_body_storage,
prepare_usage_body_storage, resolved_read_usage_body_ref, resolved_write_usage_body_ref,
split_dashboard_daily_aggregate_range, split_dashboard_hourly_aggregate_range,
usage_body_capture_state_for_storage, usage_body_ref, usage_http_audit_body_refs,
usage_http_audit_capture_mode, usage_routing_snapshot_from_usage,
usage_settlement_pricing_snapshot_from_usage, AggregateRangeSplit, SqlxUsageReadRepository,
UsageHttpAuditRefs, UsageRoutingSnapshot, UsageSettlementPricingSnapshot,
MAX_INLINE_USAGE_BODY_BYTES,
usage_body_capture_state_for_storage, usage_body_ref, usage_effective_input_tokens,
usage_http_audit_body_refs, usage_http_audit_capture_mode, usage_routing_snapshot_from_usage,
usage_settlement_pricing_snapshot_from_usage, usage_total_input_context, AggregateRangeSplit,
SqlxUsageReadRepository, UsageHttpAuditRefs, UsageRoutingSnapshot,
UsageSettlementPricingSnapshot, MAX_INLINE_USAGE_BODY_BYTES,
};
use crate::{PostgresPoolConfig, PostgresPoolFactory};
use aether_data_contracts::repository::usage::{
@@ -600,8 +600,25 @@ fn usage_sql_does_not_require_updated_at_column() {
#[test]
fn usage_sql_summarizes_tokens_by_api_key_ids_in_database() {
assert!(super::SUMMARIZE_TOTAL_TOKENS_BY_API_KEY_IDS_SQL.contains("GROUP BY api_key_id"));
assert!(super::SUMMARIZE_TOTAL_TOKENS_BY_API_KEY_IDS_SQL.contains("ANY($1::TEXT[])"));
let sql = super::SUMMARIZE_TOTAL_TOKENS_BY_API_KEY_IDS_SQL;
assert!(sql.contains("GROUP BY api_key_id"));
assert!(sql.contains("ANY($1::TEXT[])"));
assert!(sql.contains("GREATEST(COALESCE(total_tokens, 0), 0)"));
assert!(sql.contains(")::BIGINT AS total_tokens"));
assert!(!sql.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
let source = include_str!("mod.rs");
let implementation = source
.split("pub async fn summarize_total_tokens_by_api_key_ids")
.nth(1)
.and_then(|tail| {
tail.split("pub async fn summarize_usage_totals_by_user_ids")
.next()
})
.expect("API-key total-token summary implementation should be present");
assert!(implementation.contains("SUM(GREATEST(COALESCE(total_tokens, 0), 0))"));
assert!(implementation.contains(")::BIGINT AS total_tokens"));
assert!(!implementation.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
}
#[test]
@@ -674,31 +691,24 @@ fn usage_counter_pending_health_does_not_scan_processed_history() {
#[test]
fn usage_sql_rebuild_matches_online_api_key_usage_semantics() {
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL.contains("COUNT(*)::BIGINT"));
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL.contains("COALESCE("));
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL.contains("total_tokens,"));
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL
.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL.contains("AND BTRIM(api_key_id) <> ''"));
assert!(super::REBUILD_API_KEY_USAGE_STATS_SQL
.contains("AND status NOT IN ('pending', 'streaming')"));
let sql = super::REBUILD_API_KEY_USAGE_STATS_SQL;
assert!(sql.contains("COUNT(*)::BIGINT"));
assert!(sql.contains("GREATEST(\n COALESCE(total_tokens, 0),"));
assert!(!sql.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
assert!(sql.contains("AND BTRIM(api_key_id) <> ''"));
assert!(sql.contains("AND status NOT IN ('pending', 'streaming')"));
}
#[test]
fn usage_sql_rebuild_matches_online_provider_key_usage_semantics() {
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL.contains("COUNT(*)::BIGINT"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL
.contains("NULLIF(BTRIM(error_message), '') IS NULL"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL.contains("COALESCE("));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL.contains("total_tokens,"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL
.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL
.contains("AND BTRIM(provider_api_key_id) <> ''"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL
.contains("WHEN status NOT IN ('pending', 'streaming')"));
assert!(super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL
.contains("WHEN status IN ('pending', 'streaming') THEN 0"));
let sql = super::REBUILD_PROVIDER_API_KEY_USAGE_STATS_SQL;
assert!(sql.contains("COUNT(*)::BIGINT"));
assert!(sql.contains("NULLIF(BTRIM(error_message), '') IS NULL"));
assert!(sql.contains("GREATEST(\n COALESCE(total_tokens, 0),"));
assert!(!sql.contains("COALESCE(input_tokens, 0) + COALESCE(output_tokens, 0)"));
assert!(sql.contains("AND BTRIM(provider_api_key_id) <> ''"));
assert!(sql.contains("WHEN status NOT IN ('pending', 'streaming')"));
assert!(sql.contains("WHEN status IN ('pending', 'streaming') THEN 0"));
}
#[test]
@@ -885,6 +895,82 @@ fn usage_sql_summarize_usage_leaderboard_supports_daily_aggregates() {
);
}
#[test]
fn usage_sql_aggregate_reads_use_materialized_total_tokens_only_when_available() {
fn select_projections_before_table<'a>(source: &'a str, table: &str) -> Vec<&'a str> {
let marker = format!("FROM {table}\n");
let mut remaining = source;
let mut projections = Vec::new();
while let Some((before_table, after_table)) = remaining.split_once(marker.as_str()) {
projections.push(
before_table
.rsplit_once("SELECT")
.map(|(_, projection)| projection)
.unwrap_or_else(|| panic!("SELECT projection for {table} should be present")),
);
remaining = after_table;
}
projections
}
let source = include_str!("mod.rs");
let breakdown = source
.split("async fn summarize_usage_breakdown_from_daily_aggregates")
.nth(1)
.and_then(|tail| tail.split("async fn summarize_usage_breakdown_raw").next())
.expect("daily aggregate usage breakdown query should be present");
for table in [
"stats_user_daily_model",
"stats_user_daily_provider",
"stats_user_daily_api_format",
] {
assert!(breakdown.contains(table));
}
assert!(breakdown.contains("COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens"));
assert!(!breakdown.contains(
"SUM(effective_input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens)"
));
let leaderboard = source
.split("async fn summarize_usage_leaderboard_from_daily_aggregates")
.nth(1)
.and_then(|tail| {
tail.split("pub async fn summarize_usage_leaderboard")
.next()
})
.expect("daily aggregate usage leaderboard queries should be present");
for (table, expected_queries) in [
("stats_user_daily_provider", 1),
("stats_user_daily_model", 2),
] {
let projections = select_projections_before_table(leaderboard, table);
assert_eq!(
projections.len(),
expected_queries,
"unexpected {table} query count"
);
assert!(projections.iter().all(|projection| projection
.contains("COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens")));
}
for (table, component_expression) in [
(
"stats_user_daily",
"SUM(effective_input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens)",
),
(
"stats_daily_model",
"SUM(input_tokens + output_tokens + cache_creation_tokens + cache_read_tokens)",
),
("stats_daily_api_key", "stats_daily_api_key.input_tokens"),
] {
let projections = select_projections_before_table(leaderboard, table);
assert_eq!(projections.len(), 1, "unexpected {table} query count");
assert!(projections[0].contains(component_expression));
assert!(!projections[0].contains("SUM(total_tokens)"));
}
}
#[test]
fn usage_sql_aggregate_usage_audits_supports_daily_model_and_provider_aggregates() {
let source = include_str!("mod.rs");
@@ -991,6 +1077,189 @@ fn usage_sql_raw_aggregates_use_canonical_billing_facts() {
assert!(!source.contains("apply_provider_api_key_codex_window_usage_delta_in_tx"));
}
#[test]
fn usage_sql_raw_token_aggregates_do_not_renormalize_canonical_billing_facts() {
let source = include_str!("mod.rs");
for (start, end, label) in [
(
"async fn summarize_usage_audits_raw",
"pub async fn summarize_usage_audits",
"usage audit summary",
),
(
"async fn summarize_usage_cache_affinity_hit_summary_raw",
"async fn summarize_usage_cache_affinity_hit_summary_from_daily_aggregates",
"cache affinity",
),
(
"async fn summarize_usage_breakdown_raw",
"pub async fn summarize_usage_breakdown",
"usage breakdown",
),
(
"async fn summarize_usage_leaderboard_raw",
"async fn summarize_usage_leaderboard_from_daily_aggregates",
"usage leaderboard",
),
(
"async fn aggregate_usage_audits_raw",
"pub async fn aggregate_usage_audits",
"usage audit aggregation",
),
(
"async fn summarize_usage_daily_heatmap_raw_from_range",
"async fn summarize_usage_daily_heatmap_from_daily_aggregates",
"usage daily heatmap",
),
] {
let body = source
.split(start)
.nth(1)
.and_then(|tail| tail.split(end).next())
.unwrap_or_else(|| panic!("{label} raw query should be present"));
assert!(body.contains("FROM usage_billing_facts"));
assert!(
!body.contains("split_part(lower("),
"{label} must not normalize canonical billing facts by API format"
);
assert!(
!body.contains("input_tokens - cache_"),
"{label} must not subtract cache tokens from canonical input tokens"
);
}
let cache_affinity = source
.split("async fn summarize_usage_cache_affinity_hit_summary_raw")
.nth(1)
.and_then(|tail| {
tail.split("async fn summarize_usage_cache_affinity_hit_summary_from_daily_aggregates")
.next()
})
.expect("cache affinity raw query should be present");
assert!(cache_affinity.contains("\"usage\".input_tokens"));
assert!(!cache_affinity.contains("\"usage\".effective_input_tokens"));
assert!(cache_affinity.contains("\"usage\".total_input_context"));
let audit_summary = source
.split("async fn summarize_usage_audits_raw")
.nth(1)
.and_then(|tail| tail.split("pub async fn summarize_usage_audits").next())
.expect("usage audit summary raw query should be present");
assert!(audit_summary.contains("SUM(GREATEST(COALESCE(\"usage\".cache_creation_input_tokens"));
assert!(!audit_summary.contains("WHEN COALESCE(\"usage\".cache_creation_input_tokens, 0) = 0"));
for (start, end, label) in [
(
"async fn summarize_usage_breakdown_raw",
"pub async fn summarize_usage_breakdown",
"usage breakdown",
),
(
"async fn aggregate_usage_audits_raw",
"pub async fn aggregate_usage_audits",
"usage audit aggregation",
),
] {
let body = source
.split(start)
.nth(1)
.and_then(|tail| tail.split(end).next())
.unwrap_or_else(|| panic!("{label} raw query should be present"));
assert!(body.contains("\"usage\".effective_input_tokens"));
assert!(body.contains("\"usage\".total_input_context"));
}
let leaderboard = source
.split("async fn summarize_usage_leaderboard_raw")
.nth(1)
.and_then(|tail| {
tail.split("async fn summarize_usage_leaderboard_from_daily_aggregates")
.next()
})
.expect("usage leaderboard raw query should be present");
assert!(leaderboard.contains("SUM(GREATEST(COALESCE(\"usage\".total_tokens"));
let daily_heatmap = source
.split("async fn summarize_usage_daily_heatmap_raw_from_range")
.nth(1)
.and_then(|tail| {
tail.split("async fn summarize_usage_daily_heatmap_from_daily_aggregates")
.next()
})
.expect("usage daily heatmap raw query should be present");
assert!(daily_heatmap.contains("SUM(GREATEST(COALESCE(\"usage\".total_tokens"));
assert!(!daily_heatmap.contains("\"usage\".input_tokens + \"usage\".output_tokens"));
}
#[test]
fn usage_sql_canonical_openai_cache_case_preserves_effective_and_total_tokens() {
let upstream_input_tokens = 166_103_i64;
let effective_input_tokens = 1_495_i64;
let cache_creation_tokens = 0_i64;
let cache_read_tokens = 164_608_i64;
let output_tokens = 94_i64;
let total_input_context = 166_103_i64;
let total_tokens = 166_197_i64;
assert_eq!(
effective_input_tokens + cache_creation_tokens + cache_read_tokens,
total_input_context
);
assert_eq!(total_input_context, upstream_input_tokens);
assert_eq!(
effective_input_tokens + cache_creation_tokens + cache_read_tokens + output_tokens,
total_tokens
);
let source = include_str!("mod.rs");
assert!(source.contains("\"usage\".effective_input_tokens"));
assert!(source.contains("\"usage\".total_input_context"));
assert!(!source.contains("split_part(lower("));
let aggregate_audit_summary = source
.split("async fn summarize_usage_audits_from_daily_aggregates")
.nth(1)
.and_then(|tail| tail.split("async fn summarize_usage_audits_raw").next())
.expect("daily aggregate usage audit summary should be present");
assert_eq!(
aggregate_audit_summary
.matches("WHEN effective_input_tokens = 0 AND total_input_context = 0")
.count(),
2
);
assert_eq!(
aggregate_audit_summary
.matches("+ output_tokens + cache_creation_tokens + cache_read_tokens")
.count(),
2
);
assert!(!aggregate_audit_summary.contains("SUM(input_tokens + output_tokens)"));
let raw_audit_summary = source
.split("async fn summarize_usage_audits_raw")
.nth(1)
.and_then(|tail| tail.split("pub async fn summarize_usage_audits").next())
.expect("raw usage audit summary should be present");
assert!(raw_audit_summary.contains("SUM(GREATEST(COALESCE(\"usage\".total_tokens, 0), 0))"));
}
#[test]
fn usage_openai_total_input_context_includes_cache_creation_tokens() {
let effective_input_tokens =
usage_effective_input_tokens(Some(1_000), Some(100), Some(400), "openai");
assert_eq!(effective_input_tokens, Some(500));
assert_eq!(
usage_total_input_context(
Some(1_000),
effective_input_tokens,
Some(100),
Some(400),
"openai",
),
Some(1_000)
);
}
#[test]
fn dashboard_covering_index_keeps_canonical_billing_reads_heap_light() {
let migration = include_str!(
@@ -1134,6 +1403,22 @@ fn usage_billing_facts_projects_upstream_stream_mode() {
);
}
#[test]
fn usage_billing_facts_total_tokens_uses_canonical_effective_input() {
let migration =
include_str!("../../migrations/20260716000000_fix_usage_billing_facts_total_tokens.sql");
let bootstrap =
include_str!("../../../../runtime/schema/bootstrap/postgres/100_usage_capture.sql");
for sql in [migration, bootstrap] {
assert!(sql.contains("WHEN settlement.billing_effective_input_tokens IS NOT NULL"));
assert!(sql.contains("GREATEST(settlement.billing_effective_input_tokens, 0)"));
assert!(sql.contains("WHEN settlement.billing_total_input_context IS NOT NULL"));
assert!(sql.contains("NULLIF(GREATEST(COALESCE(usage_rows.total_tokens, 0), 0), 0)"));
assert!(!sql.contains("THEN COALESCE(settlement.billing_input_tokens, 0)"));
}
}
#[test]
fn usage_sql_reads_http_audits_for_single_record_fetches() {
assert!(super::FIND_BY_REQUEST_ID_SQL.contains("LEFT JOIN usage_http_audits"));
@@ -1157,11 +1442,24 @@ fn usage_sql_reads_settlement_snapshots_for_single_record_fetches() {
assert!(super::FIND_BY_ID_SQL.contains("LEFT JOIN usage_settlement_snapshots"));
assert!(super::FIND_BY_REQUEST_ID_SQL.contains("settlement_billing_snapshot_schema_version"));
assert!(super::FIND_BY_ID_SQL.contains("settlement_price_per_request"));
for sql in [super::FIND_BY_REQUEST_ID_SQL, super::FIND_BY_ID_SQL] {
for sql in [
super::FIND_BY_REQUEST_ID_SQL,
super::FIND_BY_ID_SQL,
super::LIST_USAGE_AUDITS_PREFIX,
super::LIST_RECENT_USAGE_AUDITS_PREFIX,
] {
assert!(sql.contains("CAST(\"usage\".input_tokens AS INTEGER) AS input_tokens"));
assert!(sql.contains(
"usage_settlement_snapshots.billing_input_tokens AS settlement_billing_input_tokens"
));
assert!(sql.contains(
"WHEN usage_settlement_snapshots.billing_effective_input_tokens IS NOT NULL"
));
assert!(
sql.contains("WHEN usage_settlement_snapshots.billing_total_input_context IS NOT NULL")
);
assert!(sql.contains("NULLIF(GREATEST(COALESCE(\"usage\".total_tokens, 0), 0), 0)"));
assert!(!sql.contains("THEN COALESCE(usage_settlement_snapshots.billing_input_tokens, 0)"));
assert!(sql.contains("usage_settlement_snapshots.billing_cache_creation_5m_tokens"));
assert!(sql.contains(
"CAST(usage_settlement_snapshots.billing_total_cost_usd AS DOUBLE PRECISION)"
@@ -0,0 +1,169 @@
CREATE TEMP TABLE tmp_canonical_usage_token_totals ON COMMIT DROP AS
SELECT
usage.user_id,
usage.api_key_id,
usage.provider_api_key_id,
usage.provider_name,
usage.model,
usage.api_format,
(date_trunc('day', usage.created_at AT TIME ZONE 'UTC') AT TIME ZONE 'UTC') AS day_utc,
GREATEST(COALESCE(usage.total_tokens, 0), 0)::BIGINT AS total_tokens
FROM public.usage_billing_facts AS usage
WHERE usage.status NOT IN ('pending', 'streaming');
CREATE INDEX tmp_canonical_usage_token_totals_day_idx
ON tmp_canonical_usage_token_totals (day_utc);
CREATE INDEX tmp_canonical_usage_token_totals_api_key_idx
ON tmp_canonical_usage_token_totals (api_key_id);
CREATE INDEX tmp_canonical_usage_token_totals_provider_key_idx
ON tmp_canonical_usage_token_totals (provider_api_key_id);
ANALYZE tmp_canonical_usage_token_totals;
WITH aggregated AS (
SELECT
day_utc,
model,
provider_name,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE model IS NOT NULL
AND model <> ''
AND provider_name IS NOT NULL
AND provider_name <> ''
AND provider_name NOT IN ('unknown', 'pending')
GROUP BY day_utc, model, provider_name
)
UPDATE public.stats_daily_model_provider AS target
SET
total_tokens = aggregated.total_tokens,
updated_at = NOW()
FROM aggregated
WHERE target.date = aggregated.day_utc
AND target.model = aggregated.model
AND target.provider_name = aggregated.provider_name;
WITH aggregated AS (
SELECT
user_id,
day_utc,
model,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE user_id IS NOT NULL
AND model IS NOT NULL
AND model <> ''
AND provider_name NOT IN ('unknown', 'pending')
GROUP BY user_id, day_utc, model
)
UPDATE public.stats_user_daily_model AS target
SET
total_tokens = aggregated.total_tokens,
updated_at = NOW()
FROM aggregated
WHERE target.user_id = aggregated.user_id
AND target.date = aggregated.day_utc
AND target.model = aggregated.model;
WITH aggregated AS (
SELECT
user_id,
day_utc,
provider_name,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE user_id IS NOT NULL
AND provider_name IS NOT NULL
AND provider_name <> ''
AND provider_name NOT IN ('unknown', 'pending')
GROUP BY user_id, day_utc, provider_name
)
UPDATE public.stats_user_daily_provider AS target
SET
total_tokens = aggregated.total_tokens,
updated_at = NOW()
FROM aggregated
WHERE target.user_id = aggregated.user_id
AND target.date = aggregated.day_utc
AND target.provider_name = aggregated.provider_name;
WITH aggregated AS (
SELECT
user_id,
day_utc,
api_format,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE user_id IS NOT NULL
AND api_format IS NOT NULL
AND provider_name NOT IN ('unknown', 'pending')
GROUP BY user_id, day_utc, api_format
)
UPDATE public.stats_user_daily_api_format AS target
SET
total_tokens = aggregated.total_tokens,
updated_at = NOW()
FROM aggregated
WHERE target.user_id = aggregated.user_id
AND target.date = aggregated.day_utc
AND target.api_format = aggregated.api_format;
WITH aggregated AS (
SELECT
user_id,
day_utc,
model,
provider_name,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE user_id IS NOT NULL
AND model IS NOT NULL
AND model <> ''
AND provider_name IS NOT NULL
AND provider_name <> ''
AND provider_name NOT IN ('unknown', 'pending')
GROUP BY user_id, day_utc, model, provider_name
)
UPDATE public.stats_user_daily_model_provider AS target
SET
total_tokens = aggregated.total_tokens,
updated_at = NOW()
FROM aggregated
WHERE target.user_id = aggregated.user_id
AND target.date = aggregated.day_utc
AND target.model = aggregated.model
AND target.provider_name = aggregated.provider_name;
UPDATE public.api_keys
SET total_tokens = 0;
WITH aggregated AS (
SELECT
api_key_id,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE api_key_id IS NOT NULL
AND BTRIM(api_key_id) <> ''
GROUP BY api_key_id
)
UPDATE public.api_keys AS target
SET total_tokens = aggregated.total_tokens
FROM aggregated
WHERE target.id = aggregated.api_key_id;
UPDATE public.provider_api_keys
SET total_tokens = 0;
WITH aggregated AS (
SELECT
provider_api_key_id,
COALESCE(SUM(total_tokens), 0)::BIGINT AS total_tokens
FROM tmp_canonical_usage_token_totals
WHERE provider_api_key_id IS NOT NULL
AND BTRIM(provider_api_key_id) <> ''
GROUP BY provider_api_key_id
)
UPDATE public.provider_api_keys AS target
SET total_tokens = aggregated.total_tokens
FROM aggregated
WHERE target.id = aggregated.provider_api_key_id;
@@ -212,10 +212,35 @@ SELECT
settlement.billing_effective_input_tokens,
CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
= 'openai'
AND (
GREATEST(COALESCE(usage_rows.cache_creation_input_tokens, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_5m, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_1h, 0), 0) > 0
OR GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) > 0
)
THEN GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('gemini', 'google')
AND GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) > 0
THEN GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
@@ -231,6 +256,12 @@ SELECT
GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
@@ -266,29 +297,108 @@ SELECT
GREATEST(
COALESCE(
CASE
WHEN settlement.billing_input_tokens IS NOT NULL
OR settlement.billing_output_tokens IS NOT NULL
OR settlement.billing_cache_creation_tokens IS NOT NULL
OR settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
OR settlement.billing_cache_read_tokens IS NOT NULL
THEN COALESCE(settlement.billing_input_tokens, 0)
+ COALESCE(settlement.billing_output_tokens, 0)
+ COALESCE(
settlement.billing_cache_creation_tokens,
COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0),
WHEN settlement.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(settlement.billing_effective_input_tokens, 0)
+ GREATEST(COALESCE(settlement.billing_output_tokens, usage_rows.output_tokens, 0), 0)
+ GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
),
0
)
+ COALESCE(settlement.billing_cache_read_tokens, 0)
+ GREATEST(
COALESCE(
settlement.billing_cache_read_tokens,
usage_rows.cache_read_input_tokens,
0
),
0
)
WHEN settlement.billing_total_input_context IS NOT NULL
THEN GREATEST(settlement.billing_total_input_context, 0)
+ GREATEST(COALESCE(settlement.billing_output_tokens, usage_rows.output_tokens, 0), 0)
END,
NULLIF(GREATEST(COALESCE(usage_rows.total_tokens, 0), 0), 0),
CASE
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ GREATEST(COALESCE(usage_rows.output_tokens, 0), 0)
ELSE GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
+ GREATEST(COALESCE(usage_rows.output_tokens, 0), 0)
+ GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
END,
usage_rows.total_tokens,
0
),
0
)::bigint AS total_tokens,
GREATEST(
COALESCE(
CASE
WHEN settlement.billing_effective_input_tokens IS NOT NULL
THEN GREATEST(settlement.billing_effective_input_tokens, 0)
+ GREATEST(
COALESCE(
settlement.billing_cache_creation_tokens,
CASE
WHEN settlement.billing_cache_creation_5m_tokens IS NOT NULL
OR settlement.billing_cache_creation_1h_tokens IS NOT NULL
THEN COALESCE(settlement.billing_cache_creation_5m_tokens, 0)
+ COALESCE(settlement.billing_cache_creation_1h_tokens, 0)
END,
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
),
0
)
+ GREATEST(
COALESCE(
settlement.billing_cache_read_tokens,
usage_rows.cache_read_input_tokens,
0
),
0
)
END,
settlement.billing_total_input_context,
CASE
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
@@ -306,7 +416,49 @@ SELECT
END
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
= 'openai'
THEN CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(usage_rows.cache_creation_input_tokens, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_5m, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_creation_input_tokens_1h, 0), 0) <= 0
AND GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(usage_rows.input_tokens, 0), 0)
- GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
- GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0),
0
)
END
+ GREATEST(
CASE
WHEN COALESCE(usage_rows.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage_rows.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage_rows.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage_rows.cache_creation_input_tokens, 0)
END,
0
)
+ GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(usage_rows.endpoint_api_format, usage_rows.api_format), '')), ':', 1)
IN ('gemini', 'google')
THEN CASE
WHEN GREATEST(COALESCE(usage_rows.input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(usage_rows.cache_read_input_tokens, 0), 0) <= 0
@@ -24,18 +24,7 @@ SELECT
) AS completed_input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) FILTER (WHERE status = 'completed'),
SUM(cache_creation_input_tokens) FILTER (WHERE status = 'completed'),
0
) AS BIGINT
) AS completed_cache_creation_tokens,
@@ -49,74 +38,7 @@ SELECT
) AS completed_cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(
lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')),
':',
1
) IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(
lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')),
':',
1
) IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
) FILTER (WHERE status = 'completed'),
SUM(total_input_context) FILTER (WHERE status = 'completed'),
0
) AS BIGINT
) AS completed_total_input_context,
@@ -203,21 +125,7 @@ SELECT
) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
SUM(effective_input_tokens) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
0
) AS BIGINT
) AS effective_input_tokens,
@@ -226,18 +134,7 @@ SELECT
) AS output_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
SUM(cache_creation_input_tokens) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
0
) AS BIGINT
) AS cache_creation_tokens,
@@ -263,68 +160,7 @@ SELECT
) AS cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
SUM(total_input_context) FILTER (WHERE status NOT IN ('pending', 'streaming') AND provider_name NOT IN ('unknown', 'pending')),
0
) AS BIGINT
) AS total_input_context,
@@ -550,23 +386,7 @@ WITH aggregated AS (
CAST(COUNT(id) AS BIGINT) AS total_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_5m), 0) AS BIGINT)
AS cache_creation_ephemeral_5m_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_1h), 0) AS BIGINT)
@@ -1108,26 +928,7 @@ WITH aggregated AS (
) AS BIGINT
) AS error_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
),
0
) AS BIGINT
) AS effective_input_tokens,
CAST(COALESCE(SUM(effective_input_tokens), 0) AS BIGINT) AS effective_input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
@@ -1252,116 +1053,15 @@ WITH aggregated AS (
) AS BIGINT
) AS error_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
),
0
) AS BIGINT
) AS effective_input_tokens,
CAST(COALESCE(SUM(effective_input_tokens), 0) AS BIGINT) AS effective_input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_5m), 0) AS BIGINT)
AS cache_creation_ephemeral_5m_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_1h), 0) AS BIGINT)
AS cache_creation_ephemeral_1h_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
),
0
) AS BIGINT
) AS total_input_context,
CAST(COALESCE(SUM(total_input_context), 0) AS BIGINT) AS total_input_context,
CAST(COALESCE(SUM(total_cost_usd), 0) AS DOUBLE PRECISION) AS total_cost,
CAST(COALESCE(SUM(cache_creation_cost_usd), 0) AS DOUBLE PRECISION) AS cache_creation_cost,
CAST(COALESCE(SUM(cache_read_cost_usd), 0) AS DOUBLE PRECISION) AS cache_read_cost,
@@ -1609,117 +1309,16 @@ WITH aggregated AS (
) AS BIGINT
) AS success_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
),
0
) AS BIGINT
) AS effective_input_tokens,
CAST(COALESCE(SUM(effective_input_tokens), 0) AS BIGINT) AS effective_input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(COALESCE(SUM(total_tokens), 0) AS BIGINT) AS total_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_5m), 0) AS BIGINT)
AS cache_creation_ephemeral_5m_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_1h), 0) AS BIGINT)
AS cache_creation_ephemeral_1h_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
),
0
) AS BIGINT
) AS total_input_context,
CAST(COALESCE(SUM(total_input_context), 0) AS BIGINT) AS total_input_context,
CAST(COALESCE(SUM(total_cost_usd), 0) AS DOUBLE PRECISION) AS total_cost,
CAST(COALESCE(SUM(actual_total_cost_usd), 0) AS DOUBLE PRECISION) AS actual_total_cost,
COALESCE(
@@ -1878,117 +1477,16 @@ WITH aggregated AS (
) AS BIGINT
) AS success_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
),
0
) AS BIGINT
) AS effective_input_tokens,
CAST(COALESCE(SUM(effective_input_tokens), 0) AS BIGINT) AS effective_input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(COALESCE(SUM(total_tokens), 0) AS BIGINT) AS total_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_5m), 0) AS BIGINT)
AS cache_creation_ephemeral_5m_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_1h), 0) AS BIGINT)
AS cache_creation_ephemeral_1h_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
),
0
) AS BIGINT
) AS total_input_context,
CAST(COALESCE(SUM(total_input_context), 0) AS BIGINT) AS total_input_context,
CAST(COALESCE(SUM(total_cost_usd), 0) AS DOUBLE PRECISION) AS total_cost,
CAST(COALESCE(SUM(actual_total_cost_usd), 0) AS DOUBLE PRECISION) AS actual_total_cost,
COALESCE(
@@ -2146,117 +1644,16 @@ WITH aggregated AS (
) AS BIGINT
) AS success_requests,
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
END
),
0
) AS BIGINT
) AS effective_input_tokens,
CAST(COALESCE(SUM(effective_input_tokens), 0) AS BIGINT) AS effective_input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(COALESCE(SUM(total_tokens), 0) AS BIGINT) AS total_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens), 0) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_5m), 0) AS BIGINT)
AS cache_creation_ephemeral_5m_tokens,
CAST(COALESCE(SUM(cache_creation_input_tokens_1h), 0) AS BIGINT)
AS cache_creation_ephemeral_1h_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
WHEN split_part(lower(COALESCE(COALESCE(endpoint_api_format, api_format), '')), ':', 1)
IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(input_tokens, 0), 0) <= 0 THEN 0
WHEN GREATEST(COALESCE(cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(input_tokens, 0), 0)
- GREATEST(COALESCE(cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(input_tokens, 0), 0)
+ GREATEST(COALESCE(cache_read_input_tokens, 0), 0)
END
END
),
0
) AS BIGINT
) AS total_input_context,
CAST(COALESCE(SUM(total_input_context), 0) AS BIGINT) AS total_input_context,
CAST(COALESCE(SUM(total_cost_usd), 0) AS DOUBLE PRECISION) AS total_cost,
CAST(COALESCE(SUM(actual_total_cost_usd), 0) AS DOUBLE PRECISION) AS actual_total_cost,
COALESCE(
@@ -3009,7 +2406,13 @@ WHERE created_at >= $1
#[cfg(test)]
mod tests {
use super::SELECT_STATS_DAILY_AGGREGATE_SQL;
use super::{
SELECT_STATS_DAILY_AGGREGATE_SQL, UPSERT_STATS_DAILY_API_KEY_SQL,
UPSERT_STATS_DAILY_MODEL_PROVIDER_SQL, UPSERT_STATS_DAILY_MODEL_SQL,
UPSERT_STATS_DAILY_PROVIDER_SQL, UPSERT_STATS_USER_DAILY_API_FORMAT_SQL,
UPSERT_STATS_USER_DAILY_MODEL_PROVIDER_SQL, UPSERT_STATS_USER_DAILY_MODEL_SQL,
UPSERT_STATS_USER_DAILY_PROVIDER_SQL, UPSERT_STATS_USER_DAILY_SQL,
};
#[test]
fn daily_aggregate_uses_one_time_bounded_base_table_scan() {
@@ -3100,4 +2503,95 @@ mod tests {
);
}
}
#[test]
fn billing_facts_rollups_do_not_renormalize_token_columns() {
let token_rollups = [
("daily", SELECT_STATS_DAILY_AGGREGATE_SQL),
("daily-model", UPSERT_STATS_DAILY_MODEL_SQL),
("daily-provider", UPSERT_STATS_DAILY_PROVIDER_SQL),
("daily-api-key", UPSERT_STATS_DAILY_API_KEY_SQL),
("user-daily", UPSERT_STATS_USER_DAILY_SQL),
("user-daily-model", UPSERT_STATS_USER_DAILY_MODEL_SQL),
("user-daily-provider", UPSERT_STATS_USER_DAILY_PROVIDER_SQL),
(
"user-daily-api-format",
UPSERT_STATS_USER_DAILY_API_FORMAT_SQL,
),
];
for (name, sql) in token_rollups {
let normalized = sql.split_whitespace().collect::<Vec<_>>().join(" ");
assert!(
normalized.contains("SUM(input_tokens)"),
"{name} must aggregate the billing input column exposed by usage_billing_facts"
);
assert!(
normalized.contains("SUM(cache_creation_input_tokens)"),
"{name} must aggregate the canonical cache-creation column"
);
assert!(
!normalized.contains("- GREATEST(COALESCE(cache_read_input_tokens"),
"{name} must not subtract cache-read tokens from billing input again"
);
assert!(
!normalized.contains("WHEN COALESCE(cache_creation_input_tokens, 0) = 0"),
"{name} must not reconstruct canonical cache-creation tokens"
);
}
for (name, sql) in [
("daily", SELECT_STATS_DAILY_AGGREGATE_SQL),
("daily-api-key", UPSERT_STATS_DAILY_API_KEY_SQL),
("user-daily", UPSERT_STATS_USER_DAILY_SQL),
("user-daily-model", UPSERT_STATS_USER_DAILY_MODEL_SQL),
("user-daily-provider", UPSERT_STATS_USER_DAILY_PROVIDER_SQL),
(
"user-daily-api-format",
UPSERT_STATS_USER_DAILY_API_FORMAT_SQL,
),
] {
assert!(
sql.contains("SUM(effective_input_tokens)"),
"{name} must aggregate usage_billing_facts.effective_input_tokens"
);
}
for (name, sql) in [
("daily", SELECT_STATS_DAILY_AGGREGATE_SQL),
("user-daily", UPSERT_STATS_USER_DAILY_SQL),
("user-daily-model", UPSERT_STATS_USER_DAILY_MODEL_SQL),
("user-daily-provider", UPSERT_STATS_USER_DAILY_PROVIDER_SQL),
(
"user-daily-api-format",
UPSERT_STATS_USER_DAILY_API_FORMAT_SQL,
),
] {
assert!(
sql.contains("SUM(total_input_context)"),
"{name} must aggregate usage_billing_facts.total_input_context"
);
}
for (name, sql) in [
(
"daily-model-provider",
UPSERT_STATS_DAILY_MODEL_PROVIDER_SQL,
),
(
"user-daily-model-provider",
UPSERT_STATS_USER_DAILY_MODEL_PROVIDER_SQL,
),
] {
assert!(
sql.contains("SUM(total_tokens)"),
"{name} must aggregate usage_billing_facts.total_tokens"
);
assert!(
!sql.contains("- GREATEST(COALESCE(cache_read_input_tokens"),
"{name} must not derive total tokens by subtracting cache reads"
);
}
}
}
@@ -37,18 +37,8 @@ SELECT
) AS completed_input_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN COALESCE(usage.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage.cache_creation_input_tokens, 0)
END
) FILTER (WHERE usage.status = 'completed'),
SUM(GREATEST(COALESCE(usage.cache_creation_input_tokens, 0), 0))
FILTER (WHERE usage.status = 'completed'),
0
) AS BIGINT
) AS completed_cache_creation_tokens,
@@ -61,85 +51,8 @@ SELECT
) AS completed_cache_read_tokens,
CAST(
COALESCE(
SUM(
CASE
WHEN split_part(
lower(
COALESCE(
COALESCE(usage.endpoint_api_format, usage.api_format),
''
)
),
':',
1
) IN ('claude', 'anthropic')
THEN GREATEST(COALESCE(usage.input_tokens, 0), 0)
+ CASE
WHEN COALESCE(usage.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage.cache_creation_input_tokens, 0)
END
+ GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0)
WHEN split_part(
lower(
COALESCE(
COALESCE(usage.endpoint_api_format, usage.api_format),
''
)
),
':',
1
) IN ('openai', 'gemini', 'google')
THEN (
CASE
WHEN GREATEST(COALESCE(usage.input_tokens, 0), 0) <= 0
THEN 0
WHEN GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0) <= 0
THEN GREATEST(COALESCE(usage.input_tokens, 0), 0)
ELSE GREATEST(
GREATEST(COALESCE(usage.input_tokens, 0), 0)
- GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0),
0
)
END
) + GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0)
ELSE CASE
WHEN (
CASE
WHEN COALESCE(usage.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage.cache_creation_input_tokens, 0)
END
) > 0
THEN GREATEST(COALESCE(usage.input_tokens, 0), 0)
+ (
CASE
WHEN COALESCE(usage.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage.cache_creation_input_tokens, 0)
END
)
+ GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0)
ELSE GREATEST(COALESCE(usage.input_tokens, 0), 0)
+ GREATEST(COALESCE(usage.cache_read_input_tokens, 0), 0)
END
END
) FILTER (WHERE usage.status = 'completed'),
SUM(GREATEST(COALESCE(usage.total_input_context, 0), 0))
FILTER (WHERE usage.status = 'completed'),
0
) AS BIGINT
) AS completed_total_input_context,
@@ -255,24 +168,15 @@ SELECT
0
) AS BIGINT
) AS output_tokens,
CAST(COALESCE(
SUM(
CASE
WHEN COALESCE(usage.cache_creation_input_tokens, 0) = 0
AND (
COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(usage.cache_creation_input_tokens_5m, 0)
+ COALESCE(usage.cache_creation_input_tokens_1h, 0)
ELSE COALESCE(usage.cache_creation_input_tokens, 0)
END
) FILTER (
WHERE usage.status NOT IN ('pending', 'streaming')
AND usage.provider_name NOT IN ('unknown', 'pending')
),
0
) AS BIGINT) AS cache_creation_tokens,
CAST(
COALESCE(
SUM(GREATEST(COALESCE(usage.cache_creation_input_tokens, 0), 0)) FILTER (
WHERE usage.status NOT IN ('pending', 'streaming')
AND usage.provider_name NOT IN ('unknown', 'pending')
),
0
) AS BIGINT
) AS cache_creation_tokens,
CAST(
COALESCE(
SUM(usage.cache_read_input_tokens) FILTER (
@@ -439,18 +343,7 @@ WITH aggregated AS (
CAST(COALESCE(SUM(input_tokens), 0) AS BIGINT) AS input_tokens,
CAST(COALESCE(SUM(output_tokens), 0) AS BIGINT) AS output_tokens,
CAST(COALESCE(
SUM(
CASE
WHEN COALESCE(cache_creation_input_tokens, 0) = 0
AND (
COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
) > 0
THEN COALESCE(cache_creation_input_tokens_5m, 0)
+ COALESCE(cache_creation_input_tokens_1h, 0)
ELSE COALESCE(cache_creation_input_tokens, 0)
END
),
SUM(GREATEST(COALESCE(cache_creation_input_tokens, 0), 0)),
0
) AS BIGINT) AS cache_creation_tokens,
CAST(COALESCE(SUM(cache_read_input_tokens), 0) AS BIGINT) AS cache_read_tokens,
@@ -846,7 +739,7 @@ DO UPDATE SET
#[cfg(test)]
mod tests {
use super::SELECT_STATS_HOURLY_AGGREGATE_SQL;
use super::{SELECT_STATS_HOURLY_AGGREGATE_SQL, UPSERT_STATS_HOURLY_USER_SQL};
#[test]
fn hourly_aggregate_uses_one_time_bounded_base_table_scan() {
@@ -938,4 +831,32 @@ mod tests {
);
}
}
#[test]
fn hourly_aggregates_do_not_renormalize_billing_fact_tokens() {
let aggregate_sql = SELECT_STATS_HOURLY_AGGREGATE_SQL;
let user_sql = UPSERT_STATS_HOURLY_USER_SQL;
assert_eq!(
aggregate_sql.matches("usage.total_input_context").count(),
1
);
assert!(aggregate_sql.contains(
"SUM(GREATEST(COALESCE(usage.total_input_context, 0), 0))\n FILTER (WHERE usage.status = 'completed')"
));
assert_eq!(
aggregate_sql
.matches("SUM(GREATEST(COALESCE(usage.cache_creation_input_tokens, 0), 0))")
.count(),
3
);
assert!(user_sql.contains("SUM(GREATEST(COALESCE(cache_creation_input_tokens, 0), 0))"));
for sql in [aggregate_sql, user_sql] {
assert!(!sql.contains("split_part("));
assert!(!sql.contains("cache_creation_input_tokens_5m"));
assert!(!sql.contains("cache_creation_input_tokens_1h"));
assert!(!sql.contains("- GREATEST(COALESCE("));
}
}
}
@@ -27,7 +27,8 @@ fn pending_backfills_from_applied_returns_all_versions_when_none_applied() {
20260422120000,
20260504120000,
20260505120000,
20260517012000
20260517012000,
20260716010000
]
);
}
@@ -47,7 +48,8 @@ fn pending_backfills_from_applied_skips_versions_already_applied() {
20260422120000,
20260504120000,
20260505120000,
20260517012000
20260517012000,
20260716010000
]
);
}
@@ -184,7 +186,7 @@ impl ManagedPostgresServer {
.arg("-c")
.arg("max_connections=8")
.arg("-c")
.arg("dynamic_shared_memory_type=none")
.arg("dynamic_shared_memory_type=mmap")
.arg("-c")
.arg("autovacuum=off")
.stdout(Stdio::from(stdout))
@@ -417,12 +419,13 @@ async fn run_backfills_rebuilds_stats_and_records_execution() {
let pending_before = pending_backfills(&pool)
.await
.expect("pending backfills should load");
assert_eq!(pending_before.len(), 5);
assert_eq!(pending_before.len(), 6);
assert_eq!(pending_before[0].version, 20260422110000);
assert_eq!(pending_before[1].version, 20260422120000);
assert_eq!(pending_before[2].version, 20260504120000);
assert_eq!(pending_before[3].version, 20260505120000);
assert_eq!(pending_before[4].version, 20260517012000);
assert_eq!(pending_before[5].version, 20260716010000);
run_backfills(&pool)
.await
@@ -445,7 +448,8 @@ async fn run_backfills_rebuilds_stats_and_records_execution() {
20260422120000,
20260504120000,
20260505120000,
20260517012000
20260517012000,
20260716010000
]
);
@@ -841,6 +845,25 @@ async fn run_backfills_rebuilds_stats_and_records_execution() {
.expect("user daily model-provider stats should load");
assert_eq!(user_daily_model_provider_requests, 1);
let canonical_rollup_totals: Vec<i64> = query_scalar(
r#"
SELECT total_tokens FROM public.stats_daily_model_provider
UNION ALL
SELECT total_tokens FROM public.stats_user_daily_model
UNION ALL
SELECT total_tokens FROM public.stats_user_daily_provider
UNION ALL
SELECT total_tokens FROM public.stats_user_daily_api_format
UNION ALL
SELECT total_tokens FROM public.stats_user_daily_model_provider
ORDER BY total_tokens
"#,
)
.fetch_all(&pool)
.await
.expect("canonical persisted rollup totals should load");
assert_eq!(canonical_rollup_totals, vec![150, 150, 150, 150, 150]);
let user_daily_ephemeral_5m_tokens: i64 = query_scalar(
"SELECT COALESCE(SUM(cache_creation_ephemeral_5m_tokens), 0)::BIGINT FROM public.stats_user_daily",
)
@@ -1100,5 +1123,5 @@ async fn run_backfills_rebuilds_stats_and_records_execution() {
.fetch_one(&pool)
.await
.expect("backfill count should load");
assert_eq!(applied_count, 5);
assert_eq!(applied_count, 6);
}
@@ -7,7 +7,7 @@ use tracing::info;
// Generated by build.rs from schema/bootstrap/postgres.
pub(crate) static EMPTY_DATABASE_SNAPSHOT_SQL: &str =
include_str!(concat!(env!("OUT_DIR"), "/empty_database_snapshot.sql"));
pub(crate) const EMPTY_DATABASE_SNAPSHOT_CUTOFF_VERSION: i64 = 20260715130100;
pub(crate) const EMPTY_DATABASE_SNAPSHOT_CUTOFF_VERSION: i64 = 20260716000000;
const PUBLIC_BASE_TABLE_COUNT_SQL: &str = r#"
SELECT COUNT(*)::BIGINT
@@ -325,6 +325,7 @@ fn empty_database_snapshot_covers_current_cutoff_versions() {
20260715000000,
20260715130000,
20260715130100,
20260716000000,
]
);
}
@@ -1577,6 +1578,7 @@ fn pending_migrations_from_applied_skips_versions_already_applied() {
20260715000000,
20260715130000,
20260715130100,
20260716000000,
]
);
}
@@ -2119,6 +2121,210 @@ async fn prepare_database_for_startup_bootstraps_clean_database() {
);
}
#[tokio::test]
async fn postgres_usage_billing_facts_total_tokens_counts_cached_input_once() {
const LEGACY_VIEW_MIGRATION_VERSION: i64 = 20260505130000;
const FIX_MIGRATION_VERSION: i64 = 20260716000000;
let Some(server) = ManagedPostgresServer::try_start()
.await
.expect("postgres billing-facts migration test should start or skip")
else {
return;
};
let pool = PgPool::connect(server.database_url())
.await
.expect("pool should connect");
let pending = prepare_database_for_startup(&pool)
.await
.expect("clean database bootstrap should succeed");
assert!(pending.is_empty());
let legacy_view_migration = POSTGRES_MIGRATOR
.iter()
.find(|migration| migration.version == LEGACY_VIEW_MIGRATION_VERSION)
.expect("legacy billing-facts view migration should be embedded");
assert!(POSTGRES_MIGRATOR
.iter()
.any(|migration| migration.version == FIX_MIGRATION_VERSION));
query(
r#"
INSERT INTO public."usage" (
id,
request_id,
api_key_id,
provider_name,
model,
api_format,
endpoint_api_format,
input_tokens,
output_tokens,
cache_creation_input_tokens,
cache_read_input_tokens,
total_tokens,
status,
billing_status
) VALUES
(
'billing-facts-cache-read',
'billing-facts-cache-read',
'billing-facts-api-key',
'openai',
'gpt-5',
'openai:chat',
'openai:chat',
166103,
94,
0,
164608,
999999,
'completed',
'settled'
),
(
'billing-facts-cache-create',
'billing-facts-cache-create',
'billing-facts-api-key',
'openai',
'gpt-5',
'openai:chat',
'openai:chat',
1000,
20,
100,
400,
999999,
'completed',
'settled'
),
(
'billing-facts-legacy',
'billing-facts-legacy',
'billing-facts-legacy-api-key',
'legacy',
'legacy-model',
NULL,
NULL,
50,
27,
0,
0,
77,
'completed',
'settled'
)
"#,
)
.execute(&pool)
.await
.expect("usage fixtures should be inserted");
query(
r#"
INSERT INTO public.usage_settlement_snapshots (
request_id,
billing_status,
billing_input_tokens,
billing_effective_input_tokens,
billing_output_tokens,
billing_cache_creation_tokens,
billing_cache_read_tokens,
billing_total_input_context
) VALUES
(
'billing-facts-cache-read',
'settled',
166103,
1495,
94,
0,
164608,
166103
),
(
'billing-facts-cache-create',
'settled',
1000,
500,
20,
100,
400,
900
)
"#,
)
.execute(&pool)
.await
.expect("settlement fixtures should be inserted");
sqlx::raw_sql(legacy_view_migration.sql.as_ref())
.execute(&pool)
.await
.expect("legacy billing-facts view should be restored for the upgrade fixture");
let duplicated_total: i64 = query_scalar(
"SELECT total_tokens FROM public.usage_billing_facts WHERE request_id = 'billing-facts-cache-read'",
)
.fetch_one(&pool)
.await
.expect("legacy billing-facts total should be readable");
assert_eq!(duplicated_total, 330805);
query("DELETE FROM public._sqlx_migrations WHERE version = $1")
.bind(FIX_MIGRATION_VERSION)
.execute(&pool)
.await
.expect("billing-facts fix migration stamp should be reset");
super::run_migrations(&pool)
.await
.expect("billing-facts fix migration should rebuild the view");
let cache_read_facts: (i64, i64, i64, i64, i64) = sqlx::query_as(
r#"
SELECT
effective_input_tokens,
cache_creation_input_tokens,
cache_read_input_tokens,
total_input_context,
total_tokens
FROM public.usage_billing_facts
WHERE request_id = 'billing-facts-cache-read'
"#,
)
.fetch_one(&pool)
.await
.expect("canonical cache-read billing facts should be readable");
assert_eq!(cache_read_facts, (1495, 0, 164608, 166103, 166197));
let cache_creation_facts: (i64, i64) = sqlx::query_as(
r#"
SELECT total_input_context, total_tokens
FROM public.usage_billing_facts
WHERE request_id = 'billing-facts-cache-create'
"#,
)
.fetch_one(&pool)
.await
.expect("canonical cache-creation billing facts should be readable");
assert_eq!(cache_creation_facts, (1000, 1020));
let legacy_total: i64 = query_scalar(
"SELECT total_tokens FROM public.usage_billing_facts WHERE request_id = 'billing-facts-legacy'",
)
.fetch_one(&pool)
.await
.expect("legacy billing-facts total should be readable");
assert_eq!(legacy_total, 77);
let repository = aether_data_postgres::SqlxUsageReadRepository::new(pool.clone());
let totals = repository
.summarize_total_tokens_by_api_key_ids(&["billing-facts-api-key".to_string()])
.await
.expect("API-key totals should use canonical billing facts");
assert_eq!(totals.get("billing-facts-api-key"), Some(&167217));
}
#[tokio::test]
async fn postgres_migrations_repair_invalid_concurrent_cleanup_index() {
const MIGRATION_VERSION: i64 = 20260715000000;