diff --git a/javascript/sentry-conventions/src/attributes.ts b/javascript/sentry-conventions/src/attributes.ts index 28e62d02..3a4b2b80 100644 --- a/javascript/sentry-conventions/src/attributes.ts +++ b/javascript/sentry-conventions/src/attributes.ts @@ -5690,10 +5690,52 @@ export const GEN_AI_CONVERSATION_ID = 'gen_ai.conversation.id'; */ export type GEN_AI_CONVERSATION_ID_TYPE = string; +// Path: model/attributes/gen_ai/gen_ai__cost__cache_creation__input_tokens.json + +/** + * The cost of input tokens written to cache in USD. `gen_ai.cost.cache_creation.input_tokens` + * + * Attribute Value Type: `number` {@link GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS_TYPE} + * + * Apply Scrubbing: manual + * + * Attribute defined in OTEL: No + * Visibility: public + * + * @example 12.34 + */ +export const GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS = 'gen_ai.cost.cache_creation.input_tokens'; + +/** + * Type for {@link GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS} gen_ai.cost.cache_creation.input_tokens + */ +export type GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS_TYPE = number; + +// Path: model/attributes/gen_ai/gen_ai__cost__cache_read__input_tokens.json + +/** + * The cost of cached input tokens in USD. `gen_ai.cost.cache_read.input_tokens` + * + * Attribute Value Type: `number` {@link GEN_AI_COST_CACHE_READ_INPUT_TOKENS_TYPE} + * + * Apply Scrubbing: manual + * + * Attribute defined in OTEL: No + * Visibility: public + * + * @example 12.34 + */ +export const GEN_AI_COST_CACHE_READ_INPUT_TOKENS = 'gen_ai.cost.cache_read.input_tokens'; + +/** + * Type for {@link GEN_AI_COST_CACHE_READ_INPUT_TOKENS} gen_ai.cost.cache_read.input_tokens + */ +export type GEN_AI_COST_CACHE_READ_INPUT_TOKENS_TYPE = number; + // Path: model/attributes/gen_ai/gen_ai__cost__input_tokens.json /** - * The cost of tokens used to process the AI input (prompt) in USD (without cached input tokens). `gen_ai.cost.input_tokens` + * The total cost of all input tokens in USD (includes cached and cache creation tokens). `gen_ai.cost.input_tokens` * * Attribute Value Type: `number` {@link GEN_AI_COST_INPUT_TOKENS_TYPE} * @@ -5714,7 +5756,7 @@ export type GEN_AI_COST_INPUT_TOKENS_TYPE = number; // Path: model/attributes/gen_ai/gen_ai__cost__output_tokens.json /** - * The cost of tokens used for creating the AI output in USD (without reasoning tokens). `gen_ai.cost.output_tokens` + * The total cost of all output tokens in USD (includes reasoning tokens). `gen_ai.cost.output_tokens` * * Attribute Value Type: `number` {@link GEN_AI_COST_OUTPUT_TOKENS_TYPE} * @@ -5732,6 +5774,27 @@ export const GEN_AI_COST_OUTPUT_TOKENS = 'gen_ai.cost.output_tokens'; */ export type GEN_AI_COST_OUTPUT_TOKENS_TYPE = number; +// Path: model/attributes/gen_ai/gen_ai__cost__reasoning__output_tokens.json + +/** + * The cost of reasoning output tokens in USD. `gen_ai.cost.reasoning.output_tokens` + * + * Attribute Value Type: `number` {@link GEN_AI_COST_REASONING_OUTPUT_TOKENS_TYPE} + * + * Apply Scrubbing: manual + * + * Attribute defined in OTEL: No + * Visibility: public + * + * @example 12.34 + */ +export const GEN_AI_COST_REASONING_OUTPUT_TOKENS = 'gen_ai.cost.reasoning.output_tokens'; + +/** + * Type for {@link GEN_AI_COST_REASONING_OUTPUT_TOKENS} gen_ai.cost.reasoning.output_tokens + */ +export type GEN_AI_COST_REASONING_OUTPUT_TOKENS_TYPE = number; + // Path: model/attributes/gen_ai/gen_ai__cost__total_tokens.json /** @@ -15018,8 +15081,11 @@ export const ATTRIBUTE_TYPE: Record = { 'gen_ai.context.utilization': 'double', 'gen_ai.context.window_size': 'integer', 'gen_ai.conversation.id': 'string', + 'gen_ai.cost.cache_creation.input_tokens': 'double', + 'gen_ai.cost.cache_read.input_tokens': 'double', 'gen_ai.cost.input_tokens': 'double', 'gen_ai.cost.output_tokens': 'double', + 'gen_ai.cost.reasoning.output_tokens': 'double', 'gen_ai.cost.total_tokens': 'double', 'gen_ai.embeddings.input': 'string', 'gen_ai.function_id': 'string', @@ -15689,8 +15755,11 @@ export type AttributeName = | typeof GEN_AI_CONTEXT_UTILIZATION | typeof GEN_AI_CONTEXT_WINDOW_SIZE | typeof GEN_AI_CONVERSATION_ID + | typeof GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS + | typeof GEN_AI_COST_CACHE_READ_INPUT_TOKENS | typeof GEN_AI_COST_INPUT_TOKENS | typeof GEN_AI_COST_OUTPUT_TOKENS + | typeof GEN_AI_COST_REASONING_OUTPUT_TOKENS | typeof GEN_AI_COST_TOTAL_TOKENS | typeof GEN_AI_EMBEDDINGS_INPUT | typeof GEN_AI_FUNCTION_ID @@ -19497,8 +19566,40 @@ export const ATTRIBUTE_METADATA: Record = { example: 'conv_5j66UpCpwteGg4YSxUnt7lPY', changelog: [{ version: '0.4.0', prs: [250] }], }, + 'gen_ai.cost.cache_creation.input_tokens': { + brief: 'The cost of input tokens written to cache in USD.', + type: 'double', + applyScrubbing: { + key: 'manual', + }, + isInOtel: false, + visibility: 'public', + example: 12.34, + changelog: [{ version: '0.16.0', description: 'Added gen_ai.cost.cache_creation.input_tokens attribute' }], + additionalContext: [ + 'This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.', + "Despite the name 'cost.cache_creation.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_creation.input_tokens.", + 'This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included.', + ], + }, + 'gen_ai.cost.cache_read.input_tokens': { + brief: 'The cost of cached input tokens in USD.', + type: 'double', + applyScrubbing: { + key: 'manual', + }, + isInOtel: false, + visibility: 'public', + example: 12.34, + changelog: [{ version: '0.16.0', description: 'Added gen_ai.cost.cache_read.input_tokens attribute' }], + additionalContext: [ + 'This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.', + "Despite the name 'cost.cache_read.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_read.input_tokens.", + 'This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included.', + ], + }, 'gen_ai.cost.input_tokens': { - brief: 'The cost of tokens used to process the AI input (prompt) in USD (without cached input tokens).', + brief: 'The total cost of all input tokens in USD (includes cached and cache creation tokens).', type: 'double', applyScrubbing: { key: 'manual', @@ -19514,11 +19615,11 @@ export const ATTRIBUTE_METADATA: Record = { additionalContext: [ 'This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.', "Despite the name 'cost.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.input_tokens.", - 'This is the cost of non-cached input tokens only. The cost of cached tokens is excluded from this value.', + 'This is the total cost of all input tokens, including cached and cache creation tokens at their respective rates. For the cached portion, see gen_ai.cost.cache_read.input_tokens. For the cache creation portion, see gen_ai.cost.cache_creation.input_tokens.', ], }, 'gen_ai.cost.output_tokens': { - brief: 'The cost of tokens used for creating the AI output in USD (without reasoning tokens).', + brief: 'The total cost of all output tokens in USD (includes reasoning tokens).', type: 'double', applyScrubbing: { key: 'manual', @@ -19534,7 +19635,23 @@ export const ATTRIBUTE_METADATA: Record = { additionalContext: [ 'This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.', "Despite the name 'cost.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.output_tokens.", - 'This is the cost of non-reasoning output tokens only. The cost of reasoning tokens is excluded from this value.', + 'This is the total cost of all output tokens, including reasoning tokens at their respective rate. For the reasoning portion, see gen_ai.cost.reasoning.output_tokens.', + ], + }, + 'gen_ai.cost.reasoning.output_tokens': { + brief: 'The cost of reasoning output tokens in USD.', + type: 'double', + applyScrubbing: { + key: 'manual', + }, + isInOtel: false, + visibility: 'public', + example: 12.34, + changelog: [{ version: '0.16.0', description: 'Added gen_ai.cost.reasoning.output_tokens attribute' }], + additionalContext: [ + 'This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.', + "Despite the name 'cost.reasoning.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.reasoning.output_tokens.", + 'This is a subset of gen_ai.cost.output_tokens, not an independent cost. Do not sum this with gen_ai.cost.output_tokens — it is already included.', ], }, 'gen_ai.cost.total_tokens': { @@ -25207,8 +25324,11 @@ export type Attributes = { [GEN_AI_CONTEXT_UTILIZATION]?: GEN_AI_CONTEXT_UTILIZATION_TYPE; [GEN_AI_CONTEXT_WINDOW_SIZE]?: GEN_AI_CONTEXT_WINDOW_SIZE_TYPE; [GEN_AI_CONVERSATION_ID]?: GEN_AI_CONVERSATION_ID_TYPE; + [GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS]?: GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS_TYPE; + [GEN_AI_COST_CACHE_READ_INPUT_TOKENS]?: GEN_AI_COST_CACHE_READ_INPUT_TOKENS_TYPE; [GEN_AI_COST_INPUT_TOKENS]?: GEN_AI_COST_INPUT_TOKENS_TYPE; [GEN_AI_COST_OUTPUT_TOKENS]?: GEN_AI_COST_OUTPUT_TOKENS_TYPE; + [GEN_AI_COST_REASONING_OUTPUT_TOKENS]?: GEN_AI_COST_REASONING_OUTPUT_TOKENS_TYPE; [GEN_AI_COST_TOTAL_TOKENS]?: GEN_AI_COST_TOTAL_TOKENS_TYPE; [GEN_AI_EMBEDDINGS_INPUT]?: GEN_AI_EMBEDDINGS_INPUT_TYPE; [GEN_AI_FUNCTION_ID]?: GEN_AI_FUNCTION_ID_TYPE; diff --git a/model/attributes/gen_ai/gen_ai__cost__cache_creation__input_tokens.json b/model/attributes/gen_ai/gen_ai__cost__cache_creation__input_tokens.json new file mode 100644 index 00000000..a5ef0ec0 --- /dev/null +++ b/model/attributes/gen_ai/gen_ai__cost__cache_creation__input_tokens.json @@ -0,0 +1,23 @@ +{ + "key": "gen_ai.cost.cache_creation.input_tokens", + "brief": "The cost of input tokens written to cache in USD.", + "type": "double", + "apply_scrubbing": { + "key": "manual" + }, + "is_in_otel": false, + "example": 12.34, + "visibility": "public", + "additional_context": [ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.cache_creation.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_creation.input_tokens.", + "This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included." + ], + "changelog": [ + { + "version": "0.16.0", + "prs": [], + "description": "Added gen_ai.cost.cache_creation.input_tokens attribute" + } + ] +} diff --git a/model/attributes/gen_ai/gen_ai__cost__cache_read__input_tokens.json b/model/attributes/gen_ai/gen_ai__cost__cache_read__input_tokens.json new file mode 100644 index 00000000..170e542a --- /dev/null +++ b/model/attributes/gen_ai/gen_ai__cost__cache_read__input_tokens.json @@ -0,0 +1,23 @@ +{ + "key": "gen_ai.cost.cache_read.input_tokens", + "brief": "The cost of cached input tokens in USD.", + "type": "double", + "apply_scrubbing": { + "key": "manual" + }, + "is_in_otel": false, + "example": 12.34, + "visibility": "public", + "additional_context": [ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.cache_read.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_read.input_tokens.", + "This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included." + ], + "changelog": [ + { + "version": "0.16.0", + "prs": [], + "description": "Added gen_ai.cost.cache_read.input_tokens attribute" + } + ] +} diff --git a/model/attributes/gen_ai/gen_ai__cost__input_tokens.json b/model/attributes/gen_ai/gen_ai__cost__input_tokens.json index ed84be86..1f47f81a 100644 --- a/model/attributes/gen_ai/gen_ai__cost__input_tokens.json +++ b/model/attributes/gen_ai/gen_ai__cost__input_tokens.json @@ -1,6 +1,6 @@ { "key": "gen_ai.cost.input_tokens", - "brief": "The cost of tokens used to process the AI input (prompt) in USD (without cached input tokens).", + "brief": "The total cost of all input tokens in USD (includes cached and cache creation tokens).", "type": "double", "apply_scrubbing": { "key": "manual" @@ -11,7 +11,7 @@ "additional_context": [ "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", "Despite the name 'cost.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.input_tokens.", - "This is the cost of non-cached input tokens only. The cost of cached tokens is excluded from this value." + "This is the total cost of all input tokens, including cached and cache creation tokens at their respective rates. For the cached portion, see gen_ai.cost.cache_read.input_tokens. For the cache creation portion, see gen_ai.cost.cache_creation.input_tokens." ], "changelog": [ { diff --git a/model/attributes/gen_ai/gen_ai__cost__output_tokens.json b/model/attributes/gen_ai/gen_ai__cost__output_tokens.json index 2e9fdfc3..1489fbf9 100644 --- a/model/attributes/gen_ai/gen_ai__cost__output_tokens.json +++ b/model/attributes/gen_ai/gen_ai__cost__output_tokens.json @@ -1,6 +1,6 @@ { "key": "gen_ai.cost.output_tokens", - "brief": "The cost of tokens used for creating the AI output in USD (without reasoning tokens).", + "brief": "The total cost of all output tokens in USD (includes reasoning tokens).", "type": "double", "apply_scrubbing": { "key": "manual" @@ -11,7 +11,7 @@ "additional_context": [ "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", "Despite the name 'cost.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.output_tokens.", - "This is the cost of non-reasoning output tokens only. The cost of reasoning tokens is excluded from this value." + "This is the total cost of all output tokens, including reasoning tokens at their respective rate. For the reasoning portion, see gen_ai.cost.reasoning.output_tokens." ], "changelog": [ { diff --git a/model/attributes/gen_ai/gen_ai__cost__reasoning__output_tokens.json b/model/attributes/gen_ai/gen_ai__cost__reasoning__output_tokens.json new file mode 100644 index 00000000..42235c04 --- /dev/null +++ b/model/attributes/gen_ai/gen_ai__cost__reasoning__output_tokens.json @@ -0,0 +1,23 @@ +{ + "key": "gen_ai.cost.reasoning.output_tokens", + "brief": "The cost of reasoning output tokens in USD.", + "type": "double", + "apply_scrubbing": { + "key": "manual" + }, + "is_in_otel": false, + "example": 12.34, + "visibility": "public", + "additional_context": [ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.reasoning.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.reasoning.output_tokens.", + "This is a subset of gen_ai.cost.output_tokens, not an independent cost. Do not sum this with gen_ai.cost.output_tokens — it is already included." + ], + "changelog": [ + { + "version": "0.16.0", + "prs": [], + "description": "Added gen_ai.cost.reasoning.output_tokens attribute" + } + ] +} diff --git a/python/src/sentry_conventions/attributes.py b/python/src/sentry_conventions/attributes.py index c410a509..f8ca9a0b 100644 --- a/python/src/sentry_conventions/attributes.py +++ b/python/src/sentry_conventions/attributes.py @@ -3464,11 +3464,37 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): Example: "conv_5j66UpCpwteGg4YSxUnt7lPY" """ + # Path: model/attributes/gen_ai/gen_ai__cost__cache_creation__input_tokens.json + GEN_AI_COST_CACHE_CREATION_INPUT_TOKENS: Literal[ + "gen_ai.cost.cache_creation.input_tokens" + ] = "gen_ai.cost.cache_creation.input_tokens" + """The cost of input tokens written to cache in USD. + + Type: float + Apply Scrubbing: manual + Defined in OTEL: No + Visibility: public + Example: 12.34 + """ + + # Path: model/attributes/gen_ai/gen_ai__cost__cache_read__input_tokens.json + GEN_AI_COST_CACHE_READ_INPUT_TOKENS: Literal[ + "gen_ai.cost.cache_read.input_tokens" + ] = "gen_ai.cost.cache_read.input_tokens" + """The cost of cached input tokens in USD. + + Type: float + Apply Scrubbing: manual + Defined in OTEL: No + Visibility: public + Example: 12.34 + """ + # Path: model/attributes/gen_ai/gen_ai__cost__input_tokens.json GEN_AI_COST_INPUT_TOKENS: Literal["gen_ai.cost.input_tokens"] = ( "gen_ai.cost.input_tokens" ) - """The cost of tokens used to process the AI input (prompt) in USD (without cached input tokens). + """The total cost of all input tokens in USD (includes cached and cache creation tokens). Type: float Apply Scrubbing: manual @@ -3481,7 +3507,7 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): GEN_AI_COST_OUTPUT_TOKENS: Literal["gen_ai.cost.output_tokens"] = ( "gen_ai.cost.output_tokens" ) - """The cost of tokens used for creating the AI output in USD (without reasoning tokens). + """The total cost of all output tokens in USD (includes reasoning tokens). Type: float Apply Scrubbing: manual @@ -3490,6 +3516,19 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): Example: 123.45 """ + # Path: model/attributes/gen_ai/gen_ai__cost__reasoning__output_tokens.json + GEN_AI_COST_REASONING_OUTPUT_TOKENS: Literal[ + "gen_ai.cost.reasoning.output_tokens" + ] = "gen_ai.cost.reasoning.output_tokens" + """The cost of reasoning output tokens in USD. + + Type: float + Apply Scrubbing: manual + Defined in OTEL: No + Visibility: public + Example: 12.34 + """ + # Path: model/attributes/gen_ai/gen_ai__cost__total_tokens.json GEN_AI_COST_TOTAL_TOKENS: Literal["gen_ai.cost.total_tokens"] = ( "gen_ai.cost.total_tokens" @@ -12249,8 +12288,46 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): ChangelogEntry(version="0.4.0", prs=[250]), ], ), + "gen_ai.cost.cache_creation.input_tokens": AttributeMetadata( + brief="The cost of input tokens written to cache in USD.", + type=AttributeType.DOUBLE, + apply_scrubbing=ApplyScrubbingInfo(key=ApplyScrubbing.MANUAL), + is_in_otel=False, + visibility=Visibility.PUBLIC, + example=12.34, + changelog=[ + ChangelogEntry( + version="0.16.0", + description="Added gen_ai.cost.cache_creation.input_tokens attribute", + ), + ], + additional_context=[ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.cache_creation.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_creation.input_tokens.", + "This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included.", + ], + ), + "gen_ai.cost.cache_read.input_tokens": AttributeMetadata( + brief="The cost of cached input tokens in USD.", + type=AttributeType.DOUBLE, + apply_scrubbing=ApplyScrubbingInfo(key=ApplyScrubbing.MANUAL), + is_in_otel=False, + visibility=Visibility.PUBLIC, + example=12.34, + changelog=[ + ChangelogEntry( + version="0.16.0", + description="Added gen_ai.cost.cache_read.input_tokens attribute", + ), + ], + additional_context=[ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.cache_read.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.cache_read.input_tokens.", + "This is a subset of gen_ai.cost.input_tokens, not an independent cost. Do not sum this with gen_ai.cost.input_tokens — it is already included.", + ], + ), "gen_ai.cost.input_tokens": AttributeMetadata( - brief="The cost of tokens used to process the AI input (prompt) in USD (without cached input tokens).", + brief="The total cost of all input tokens in USD (includes cached and cache creation tokens).", type=AttributeType.DOUBLE, apply_scrubbing=ApplyScrubbingInfo(key=ApplyScrubbing.MANUAL), is_in_otel=False, @@ -12266,11 +12343,11 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): additional_context=[ "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", "Despite the name 'cost.input_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.input_tokens.", - "This is the cost of non-cached input tokens only. The cost of cached tokens is excluded from this value.", + "This is the total cost of all input tokens, including cached and cache creation tokens at their respective rates. For the cached portion, see gen_ai.cost.cache_read.input_tokens. For the cache creation portion, see gen_ai.cost.cache_creation.input_tokens.", ], ), "gen_ai.cost.output_tokens": AttributeMetadata( - brief="The cost of tokens used for creating the AI output in USD (without reasoning tokens).", + brief="The total cost of all output tokens in USD (includes reasoning tokens).", type=AttributeType.DOUBLE, apply_scrubbing=ApplyScrubbingInfo(key=ApplyScrubbing.MANUAL), is_in_otel=False, @@ -12286,7 +12363,26 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): additional_context=[ "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", "Despite the name 'cost.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.output_tokens.", - "This is the cost of non-reasoning output tokens only. The cost of reasoning tokens is excluded from this value.", + "This is the total cost of all output tokens, including reasoning tokens at their respective rate. For the reasoning portion, see gen_ai.cost.reasoning.output_tokens.", + ], + ), + "gen_ai.cost.reasoning.output_tokens": AttributeMetadata( + brief="The cost of reasoning output tokens in USD.", + type=AttributeType.DOUBLE, + apply_scrubbing=ApplyScrubbingInfo(key=ApplyScrubbing.MANUAL), + is_in_otel=False, + visibility=Visibility.PUBLIC, + example=12.34, + changelog=[ + ChangelogEntry( + version="0.16.0", + description="Added gen_ai.cost.reasoning.output_tokens attribute", + ), + ], + additional_context=[ + "This attribute appears on both agent parent spans (aggregated totals) and LLM child spans (per-call values). When using sum() to calculate total cost, filter to gen_ai.operation.type:ai_client to avoid double-counting hierarchical spans.", + "Despite the name 'cost.reasoning.output_tokens', this value is cost in USD, not a token count. For token counts, use gen_ai.usage.reasoning.output_tokens.", + "This is a subset of gen_ai.cost.output_tokens, not an independent cost. Do not sum this with gen_ai.cost.output_tokens — it is already included.", ], ), "gen_ai.cost.total_tokens": AttributeMetadata( @@ -18148,8 +18244,11 @@ class ATTRIBUTE_NAMES(metaclass=_AttributeNamesMeta): "gen_ai.context.utilization": float, "gen_ai.context.window_size": int, "gen_ai.conversation.id": str, + "gen_ai.cost.cache_creation.input_tokens": float, + "gen_ai.cost.cache_read.input_tokens": float, "gen_ai.cost.input_tokens": float, "gen_ai.cost.output_tokens": float, + "gen_ai.cost.reasoning.output_tokens": float, "gen_ai.cost.total_tokens": float, "gen_ai.embeddings.input": str, "gen_ai.function_id": str, diff --git a/python/uv.lock b/python/uv.lock index 165ef622..8ef6a0d0 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -10,321 +10,321 @@ resolution-markers = [ [[package]] name = "black" version = "26.3.1" -source = { registry = "https://pypi.org/simple" } +source = { registry = "https://sfw.security.sentry.io/pypi/simple" } dependencies = [ { name = "click" }, { name = 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