* fix(cost): split a provider-reported total between input and output by the cost map rate ratio
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): expect the kyma reported-cost headers to follow the cost map rate split
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): keep the kyma test file at its original formatting
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost): price the response-cost header split from the served model, not the request alias
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost): bill a provider reported usage.cost on every path unless the deployment is priced
* test(integration): a reported cost is attributed to output in the gateway parity cases
* fix(cost): skip a chat usage.cost that already holds litellm's stamped bill and Responses API objects
* fix(cost): record litellm's bill on the Responses terminal event so a later pricing pass does not read it as the upstream's charge
* fix(cost): mark usage.cost litellm wrote as its own bill and keep a breakdown for a reported cost
* fix(cost): keep the token breakdown when a header reported cost repeats an already priced bill
* fix(cost): read the stored breakdown total through the logging object's typed field
* refactor(cost): name the providers billed from their own usage fields for what they are
* fix(cost): keep the upstream's usage.cost beside litellm's bill and stamp a zero operator price on the stream frame
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat: add OpenAI 12-hour cache write pricing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix: omit empty cache-write response fields
* style: format cache-write fields
* fix(cost): bill openai 30m and 12h cache writes from the usage split, add gpt-5.6 rates
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost): apply the 12h long-context write rate only above the token threshold
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(cost): key cache write rates by TTL instead of growing the rate tuple
_get_token_base_cost returned a positional 6-tuple and every cache lifetime added a slot to it, to the off-peak helper and to every caller. It now returns a TokenBaseCosts dataclass whose cache write rates live in one mapping keyed by TTL. The TTLs come from the ephemeral_*_input_tokens fields on CacheCreationTokenDetails, so supporting a new lifetime only means adding that usage field and its rate key
A lifetime with no rate of its own now always falls back to the cache creation rate after off-peak pricing is applied. Before this the non-tiered 12h rate and the tiered 1h rate fell back to the rate from before off-peak, so the same request billed differently depending on the pricing path
* refactor(cost): hardcode the cache write TTLs as a Literal instead of parsing usage field names
Parsing ephemeral_*_input_tokens names saved nothing, since a new TTL still needs a usage field and provider parsing code. The TTLs are now a CacheWriteTTL Literal with an explicit rate key per TTL
* refactor(cost): resolve cache write lifetime rates to floats at lookup
Decide the 1h and 12h cost map key in the threshold loop, then resolve each
rate once after off-peak with the base write rate as the default, so no None
flows through the cost code. Add an integration case for a 12h write on a
row without a 12h rate
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(cost): name every cache write TTL, marking 5m and 30m as base rate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): list every cache write TTL in one rate key table, None meaning the base write rate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): drop base rate entries from the cache write rate table and rely on fallback
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): key cache write rates by plain string TTL
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): fill missing cache write TTL rates with the base write rate after off-peak
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): default missing cache write TTL rates to the base write rate inline
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): rename cache write rate key table to make clear it only covers long TTLs
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(cost): list every cache write TTL and bill writes of an unknown TTL at the base write rate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): resolve tiered cache write TTL rates after off-peak instead of passing None
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): carry cache write TTL rates on TokenRates and drop TokenBaseCosts
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(cost): define TokenRates before its first use to drop the string annotation
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(cost): build the TokenRates TTL default with default_factory and type tiers as Mapping
MappingProxyType({}) as a dataclass default is rejected on Python 3.11, where
mappingproxy is unhashable, so import litellm failed there. The tier type
moves from dict[str, object] to Mapping[str, object] (LIT001), with tier_rate
accepting a Mapping to match.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost): type select_tier_for_input tiers as Mapping so tier_rate callers stay typed
The tier returned as a bare dict made every tier_rate call site a partially
unknown argument once tier_rate took Mapping[str, object]. The range bounds are
now validated with a TypeAdapter instead of indexing an unknown list.
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* test(cost): add tier 1 cost tracking cases for gpt-5.6-terra, gemini-4-argon and gemini-3.1-pro-preview
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): add audit 3 shape cases for vertex_ai and azure_ai claude
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): mark azure gpt-5.6-terra priority case as known bug
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(cost): bill Responses API image_generation_call tool usage
Price completed image_generation_call output items from tool_usage.image_gen token counts when present, otherwise per image from the quality and size on the item, with the image model taken from tools[].model (default gpt-image-1). Add the result into tool_usage_cost alongside web search and file search, and read tool_usage from the top level or usage.tool_usage. Squashed and rebased onto main
* style(cost): annotate read-only views and mark casts for the type discipline gate
* fix(cost): price Responses image tool from tools[].model only, no default model or provider
* refactor(cost): drop redundant status check, unread usage fields and unused output_type literal
* test(cost): integration case for Responses image_generation tool token billing
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): add tier 1 claude messages stream twins and recapture drifted usage shapes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): freeze the login throttle clock so the retry-after assertion is deterministic
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Add live-captured cache-read fixtures and align replay usage blocks with current provider responses
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): add BridgeParityTestCase with a gpt-6-sol /v1/messages to Responses pair
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): rename BridgeParityTestCase to BridgeCostParityTestCase
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(cost): collect BRIDGE_COST_PARITY only from modules that define one
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(decisions): bill decisions and systemone from <provider>/decisions/<model> cost map rows
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(decisions): mark decisions pricing rows with mode decisions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): sync generated API types for decisions mode
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): update pricing expectations in proxy tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): price classifier calls from decision rows
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): drop redundant evaluation handler after main merge
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): inject pricing row for deployed classifier
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(decisions): ship the decisions pricing lookup without cost map rows
Restore both cost maps to main. Tests inject their own
<provider>/decisions/<model> rows. The Add Model dropdown hides those
pricing keys and offers mode decisions instead of evaluation.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(ui): expect the Decisions mode option in the Add Model form
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(decisions): bill decisions and systemone from _decisions cost map fields
Replace the provider/decisions/model pricing rows with <field>_decisions
fields on the model's own row. cost_per_token overlays them for the
decisions, adecisions, systemone and asystemone call types and prices
through generic_cost_per_token; chat, responses and batch keep the plain
fields. gpt-6-luna gains its Decisions rates (input 1e-07, output 0,
cached and cache-write input 1e-07, 2x above 272k tokens).
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): satisfy type gate, schema sync and test_utils schema for _decisions fields
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(decisions): import cost_calculator module to keep basedpyright unknown-variable count flat
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(decisions): drop stray fireworks import from __init__ and annotate test cost rows for the type gate
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(integration): cover gpt-6-luna decisions and systemone above the 272k tier
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(decisions): keep the decisions pricing block clear of main's stale azure comment
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(cost_calculator): drop stale azure models doc comment
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(integration): move the openai cost tracking cases from cost_tracking_cases.json to CostTrackingTestCase literals
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(integration): move the remaining cost tracking cases, the cost map and the batch/realtime cases from cost_tracking_cases.json to Python literals (#45885)
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
