diff --git a/bindings/typescript/src/generated/UniversalParams.ts b/bindings/typescript/src/generated/UniversalParams.ts index 7ea9d83e..59b4e7ad 100644 --- a/bindings/typescript/src/generated/UniversalParams.ts +++ b/bindings/typescript/src/generated/UniversalParams.ts @@ -129,6 +129,12 @@ conversation_reference: Array | null, * **Providers:** OpenAI, Anthropic */ service_tier: string | null, +/** + * Stable cache-bucketing key for prompt caching. + * + * **Providers:** OpenAI Chat Completions, OpenAI Responses + */ +prompt_cache_key: string | null, /** * Stream the response as server-sent events. * diff --git a/bindings/typescript/src/generated/anthropic/InputContentBlock.ts b/bindings/typescript/src/generated/anthropic/InputContentBlock.ts index 683b9a1d..c68c0b2e 100644 --- a/bindings/typescript/src/generated/anthropic/InputContentBlock.ts +++ b/bindings/typescript/src/generated/anthropic/InputContentBlock.ts @@ -26,9 +26,18 @@ import type { Source } from "./Source"; * * A content block that represents a file to be uploaded to the container * Files uploaded via this block will be available in the container's input directory. + * + * System instructions that appear mid-conversation. + * + * Use this block to provide or update system-level instructions at a specific + * point in the conversation, rather than only via the top-level `system` parameter. */ export type InputContentBlock = { /** * Create a cache control breakpoint at this content block. */ -cache_control: CacheControlEphemeral | null, citations: Citations | null, text: string | null, type: InputContentBlockType, source: Source | null, context: string | null, title: string | null, content: InputContentBlockContent | null, signature: string | null, thinking: string | null, data: string | null, caller: Caller | null, id: string | null, input: unknown, name: string | null, is_error: boolean | null, tool_use_id: string | null, file_id: string | null, }; +cache_control: CacheControlEphemeral | null, citations: Citations | null, text: string | null, type: InputContentBlockType, source: Source | null, context: string | null, title: string | null, +/** + * System instruction text blocks. + */ +content: InputContentBlockContent | null, signature: string | null, thinking: string | null, data: string | null, caller: Caller | null, id: string | null, input: unknown, name: string | null, is_error: boolean | null, tool_use_id: string | null, file_id: string | null, }; diff --git a/bindings/typescript/src/generated/anthropic/InputContentBlockType.ts b/bindings/typescript/src/generated/anthropic/InputContentBlockType.ts index eaf3dff9..19d719b6 100644 --- a/bindings/typescript/src/generated/anthropic/InputContentBlockType.ts +++ b/bindings/typescript/src/generated/anthropic/InputContentBlockType.ts @@ -1,3 +1,3 @@ // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually. -export type InputContentBlockType = "bash_code_execution_tool_result" | "code_execution_tool_result" | "container_upload" | "document" | "image" | "redacted_thinking" | "search_result" | "server_tool_use" | "text" | "text_editor_code_execution_tool_result" | "thinking" | "tool_result" | "tool_search_tool_result" | "tool_use" | "web_fetch_tool_result" | "web_search_tool_result"; +export type InputContentBlockType = "bash_code_execution_tool_result" | "code_execution_tool_result" | "container_upload" | "document" | "image" | "mid_conv_system" | "redacted_thinking" | "search_result" | "server_tool_use" | "text" | "text_editor_code_execution_tool_result" | "thinking" | "tool_result" | "tool_search_tool_result" | "tool_use" | "web_fetch_tool_result" | "web_search_tool_result"; diff --git a/bindings/typescript/src/generated/anthropic/MessageRole.ts b/bindings/typescript/src/generated/anthropic/MessageRole.ts index 572bc422..3e08b116 100644 --- a/bindings/typescript/src/generated/anthropic/MessageRole.ts +++ b/bindings/typescript/src/generated/anthropic/MessageRole.ts @@ -1,3 +1,3 @@ // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually. -export type MessageRole = "assistant" | "user"; +export type MessageRole = "assistant" | "system" | "user"; diff --git a/bindings/typescript/src/generated/anthropic/ToolResultErrorCode.ts b/bindings/typescript/src/generated/anthropic/ToolResultErrorCode.ts index 96c3e644..96873894 100644 --- a/bindings/typescript/src/generated/anthropic/ToolResultErrorCode.ts +++ b/bindings/typescript/src/generated/anthropic/ToolResultErrorCode.ts @@ -1,3 +1,3 @@ // This file was generated by [ts-rs](https://github.com/Aleph-Alpha/ts-rs). Do not edit this file manually. -export type ToolResultErrorCode = "execution_time_exceeded" | "file_not_found" | "invalid_tool_input" | "max_uses_exceeded" | "output_file_too_large" | "query_too_long" | "request_too_large" | "too_many_requests" | "unavailable" | "unsupported_content_type" | "url_not_accessible" | "url_not_allowed" | "url_too_long"; +export type ToolResultErrorCode = "execution_time_exceeded" | "file_not_found" | "invalid_tool_input" | "max_uses_exceeded" | "output_file_too_large" | "query_too_long" | "request_too_large" | "too_many_requests" | "unavailable" | "unsupported_content_type" | "url_not_accessible" | "url_not_allowed" | "url_not_in_prior_context" | "url_too_long"; diff --git a/crates/coverage-report/src/requests_expected_differences.json b/crates/coverage-report/src/requests_expected_differences.json index b87474d3..9e64a296 100644 --- a/crates/coverage-report/src/requests_expected_differences.json +++ b/crates/coverage-report/src/requests_expected_differences.json @@ -356,6 +356,70 @@ { "pattern": "params.top_p", "reason": "OpenAI reasoning models do not support top_p, so it is stripped for request compatibility" } ] }, + { + "testCase": "promptCacheKeyParam", + "source": "*", + "target": "Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "promptCacheKeyParam", + "source": "*", + "target": "Bedrock Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Bedrock Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "promptCacheKeyParam", + "source": "*", + "target": "Vertex Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Vertex Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "promptCacheKeyParam", + "source": "*", + "target": "Google", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Google does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "openaiPromptCacheKeyParam", + "source": "*", + "target": "Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "openaiPromptCacheKeyParam", + "source": "*", + "target": "Bedrock Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Bedrock Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "openaiPromptCacheKeyParam", + "source": "*", + "target": "Vertex Anthropic", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Vertex Anthropic does not support an equivalent cache bucketing key" } + ] + }, + { + "testCase": "openaiPromptCacheKeyParam", + "source": "*", + "target": "Google", + "fields": [ + { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Google does not support an equivalent cache bucketing key" } + ] + }, { "testCase": "webSearchToolParam", "source": "Anthropic", diff --git a/crates/lingua/src/providers/anthropic/adapter.rs b/crates/lingua/src/providers/anthropic/adapter.rs index 9ec13431..a5782318 100644 --- a/crates/lingua/src/providers/anthropic/adapter.rs +++ b/crates/lingua/src/providers/anthropic/adapter.rs @@ -255,6 +255,7 @@ impl ProviderAdapter for AnthropicAdapter { store: None, conversation_reference: None, service_tier: typed_params.service_tier, + prompt_cache_key: None, logprobs: None, top_logprobs: None, extras: Default::default(), diff --git a/crates/lingua/src/providers/anthropic/convert.rs b/crates/lingua/src/providers/anthropic/convert.rs index d22301a9..673901f1 100644 --- a/crates/lingua/src/providers/anthropic/convert.rs +++ b/crates/lingua/src/providers/anthropic/convert.rs @@ -92,6 +92,139 @@ fn infer_media_type_from_reference(reference: &str) -> Option { } } +fn anthropic_text_provider_options( + cache_control: Option, + citations: Option, +) -> Result, ConvertError> +where + C: serde::Serialize, + T: serde::Serialize, +{ + let mut options = serde_json::Map::new(); + if let Some(cache_control) = cache_control { + options.insert( + "cache_control".into(), + serde_json::to_value(cache_control).map_err(|e| { + ConvertError::JsonSerializationFailed { + field: "cache_control".to_string(), + error: e.to_string(), + } + })?, + ); + } + if let Some(citations) = citations { + options.insert( + "citations".into(), + serde_json::to_value(citations).map_err(|e| ConvertError::JsonSerializationFailed { + field: "citations".to_string(), + error: e.to_string(), + })?, + ); + } + + Ok((!options.is_empty()).then_some(ProviderOptions { options })) +} + +fn anthropic_user_text_part( + text: String, + cache_control: Option, + citations: Option, +) -> Result +where + C: serde::Serialize, + T: serde::Serialize, +{ + Ok(UserContentPart::Text(TextContentPart { + text, + encrypted_content: None, + provider_options: anthropic_text_provider_options(cache_control, citations)?, + })) +} + +fn anthropic_mid_conv_system_parts( + content: generated::InputContentBlockContent, +) -> Result, ConvertError> { + match content { + generated::InputContentBlockContent::String(text) => { + Ok(vec![UserContentPart::Text(TextContentPart { + text, + encrypted_content: None, + provider_options: None, + })]) + } + generated::InputContentBlockContent::BlockArray(blocks) => { + let mut parts = Vec::new(); + for block in blocks { + if let Some(text) = block.text { + parts.push(anthropic_user_text_part( + text, + block.cache_control, + block.citations, + )?); + } + if let Some(content) = block.content { + for text_block in content { + parts.push(anthropic_user_text_part( + text_block.text, + text_block.cache_control, + text_block.citations, + )?); + } + } + } + Ok(parts) + } + generated::InputContentBlockContent::RequestWebSearchToolResultError(_) => { + Err(ConvertError::ContentConversionFailed { + reason: "web search tool result errors cannot be used as Anthropic system content" + .to_string(), + }) + } + } +} + +fn anthropic_system_message_content( + content: generated::MessageContent, +) -> Result { + match content { + generated::MessageContent::String(text) => Ok(UserContent::String(text)), + generated::MessageContent::InputContentBlockArray(blocks) => { + let mut parts = Vec::new(); + for block in blocks { + match block.input_content_block_type { + generated::InputContentBlockType::Text => { + if let Some(text) = block.text { + parts.push(anthropic_user_text_part( + text, + block.cache_control, + block.citations, + )?); + } + } + generated::InputContentBlockType::MidConvSystem => { + if let Some(content) = block.content { + parts.extend(anthropic_mid_conv_system_parts(content)?); + } + } + other => { + return Err(ConvertError::ContentConversionFailed { + reason: format!( + "unsupported Anthropic system content block type: {other:?}" + ), + }); + } + } + } + + if parts.is_empty() { + Ok(UserContent::String(String::new())) + } else { + Ok(UserContent::Array(parts)) + } + } + } +} + fn normalize_anthropic_tool_schema_value(value: &mut Value) { match value { Value::Object(map) => { @@ -275,6 +408,9 @@ impl TryFromLLM for Message { } match input_msg.role { + generated::MessageRole::System => Ok(Message::System { + content: anthropic_system_message_content(input_msg.content)?, + }), generated::MessageRole::User => { let content = match input_msg.content { generated::MessageContent::String(text) => UserContent::String(text), @@ -1693,6 +1829,62 @@ mod tests { ); } + #[test] + fn test_anthropic_system_role_imports_to_system_message() { + let input: generated::InputMessage = serde_json::from_value(json!({ + "role": "system", + "content": "Follow the project style guide." + })) + .unwrap(); + + let message = >::try_from(input).unwrap(); + + match message { + Message::System { + content: UserContent::String(text), + } => assert_eq!(text, "Follow the project style guide."), + other => panic!("expected system message, got {other:?}"), + } + } + + #[test] + fn test_anthropic_mid_conv_system_imports_to_system_message() { + let input: generated::InputMessage = serde_json::from_value(json!({ + "role": "system", + "content": [ + { + "type": "mid_conv_system", + "content": [ + { + "type": "text", + "text": "Use the updated policy.", + "cache_control": { "type": "ephemeral" } + } + ] + } + ] + })) + .unwrap(); + + let message = >::try_from(input).unwrap(); + + match message { + Message::System { + content: UserContent::Array(parts), + } => { + assert_eq!(parts.len(), 1); + match &parts[0] { + UserContentPart::Text(text) => { + assert_eq!(text.text, "Use the updated policy."); + assert!(text.provider_options.is_some()); + } + other => panic!("expected text part, got {other:?}"), + } + } + other => panic!("expected system message with array content, got {other:?}"), + } + } + #[test] fn test_json_schema_response_format_to_anthropic_is_lossy_for_unsupported_keywords() { let config = ResponseFormatConfig { diff --git a/crates/lingua/src/providers/anthropic/generated.rs b/crates/lingua/src/providers/anthropic/generated.rs index 0b8db7c4..05a6753a 100644 --- a/crates/lingua/src/providers/anthropic/generated.rs +++ b/crates/lingua/src/providers/anthropic/generated.rs @@ -334,6 +334,11 @@ pub enum MessageContent { /// /// A content block that represents a file to be uploaded to the container /// Files uploaded via this block will be available in the container's input directory. +/// +/// System instructions that appear mid-conversation. +/// +/// Use this block to provide or update system-level instructions at a specific +/// point in the conversation, rather than only via the top-level `system` parameter. #[derive(Debug, Clone, PartialEq, Serialize, Deserialize, TS)] #[ts(export_to = "anthropic/")] pub struct InputContentBlock { @@ -352,6 +357,7 @@ pub struct InputContentBlock { pub context: Option, #[serde(skip_serializing_if = "Option::is_none")] pub title: Option, + /// System instruction text blocks. #[serde(skip_serializing_if = "Option::is_none")] pub content: Option, #[serde(skip_serializing_if = "Option::is_none")] @@ -847,6 +853,8 @@ pub enum ToolResultErrorCode { UrlNotAccessible, #[serde(rename = "url_not_allowed")] UrlNotAllowed, + #[serde(rename = "url_not_in_prior_context")] + UrlNotInPriorContext, #[serde(rename = "url_too_long")] UrlTooLong, } @@ -926,6 +934,8 @@ pub enum InputContentBlockType { ContainerUpload, Document, Image, + #[serde(rename = "mid_conv_system")] + MidConvSystem, #[serde(rename = "redacted_thinking")] RedactedThinking, #[serde(rename = "search_result")] @@ -953,6 +963,7 @@ pub enum InputContentBlockType { #[ts(export_to = "anthropic/")] pub enum MessageRole { Assistant, + System, User, } @@ -2141,6 +2152,14 @@ pub struct Usage { pub input_tokens: i64, /// The number of output tokens which were used. pub output_tokens: i64, + /// Breakdown of output tokens by category. + /// + /// `output_tokens` remains the inclusive, authoritative total used for billing. + /// This object provides a read-only decomposition for observability — for example, + /// how many of the billed output tokens were spent on internal reasoning that may + /// have been summarized before being returned to you. + #[serde(skip_serializing_if = "Option::is_none")] + pub output_tokens_details: Option, /// The number of server tool requests. #[serde(skip_serializing_if = "Option::is_none")] pub server_tool_use: Option, @@ -2160,6 +2179,20 @@ pub struct CacheCreation { pub ephemeral_5_m_input_tokens: i64, } +#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, TS)] +#[ts(export_to = "anthropic/")] +pub struct OutputTokensDetails { + /// Number of output tokens the model generated as internal reasoning, including + /// the thinking-block delimiter tokens. + /// + /// Reflects the raw reasoning the model produced, not the (possibly shorter) + /// summarized thinking text returned in the response body. Computed by + /// re-tokenizing the raw reasoning text, so it may differ from the model's exact + /// generation count by a small number of tokens. Always ≤ `output_tokens`; + /// `output_tokens - thinking_tokens` approximates the non-reasoning output. + pub thinking_tokens: i64, +} + #[derive(Debug, Clone, PartialEq, Serialize, Deserialize, TS)] #[ts(export_to = "anthropic/")] pub struct ServerToolUsage { diff --git a/crates/lingua/src/providers/bedrock/adapter.rs b/crates/lingua/src/providers/bedrock/adapter.rs index d073a043..635d7f57 100644 --- a/crates/lingua/src/providers/bedrock/adapter.rs +++ b/crates/lingua/src/providers/bedrock/adapter.rs @@ -159,6 +159,7 @@ impl ProviderAdapter for BedrockAdapter { store: None, conversation_reference: None, service_tier: None, + prompt_cache_key: None, logprobs: None, top_logprobs: None, extras: Default::default(), diff --git a/crates/lingua/src/providers/google/adapter.rs b/crates/lingua/src/providers/google/adapter.rs index ad7f0013..869145e8 100644 --- a/crates/lingua/src/providers/google/adapter.rs +++ b/crates/lingua/src/providers/google/adapter.rs @@ -156,6 +156,7 @@ impl ProviderAdapter for GoogleAdapter { store: None, conversation_reference: None, service_tier: None, + prompt_cache_key: None, logprobs: None, top_logprobs: None, extras: Default::default(), diff --git a/crates/lingua/src/providers/openai/adapter.rs b/crates/lingua/src/providers/openai/adapter.rs index b600b7a5..4446d73e 100644 --- a/crates/lingua/src/providers/openai/adapter.rs +++ b/crates/lingua/src/providers/openai/adapter.rs @@ -152,6 +152,7 @@ impl ProviderAdapter for OpenAIAdapter { store: typed_params.store, conversation_reference: None, service_tier: typed_params.service_tier, + prompt_cache_key: typed_params.prompt_cache_key.clone(), logprobs: typed_params.logprobs, top_logprobs: typed_params.top_logprobs, extras: Default::default(), @@ -392,6 +393,14 @@ impl ProviderAdapter for OpenAIAdapter { obj.insert("service_tier".into(), Value::String(service_tier.clone())); } + // Add prompt_cache_key from canonical params + if let Some(ref prompt_cache_key) = req.params.prompt_cache_key { + obj.insert( + "prompt_cache_key".into(), + Value::String(prompt_cache_key.clone()), + ); + } + // Merge back provider-specific extras (only for OpenAI) if let Some(extras) = openai_extras { for (k, v) in extras { @@ -713,6 +722,7 @@ fn build_reasoning_config( mod tests { use super::*; use crate::serde_json::json; + use crate::universal::message::UserContent; #[test] fn test_openai_detect_request() { @@ -741,6 +751,42 @@ mod tests { assert!(reconstructed.get("messages").is_some()); } + #[test] + fn test_openai_prompt_cache_key_imports_to_canonical_param() { + let adapter = OpenAIAdapter; + let payload = json!({ + "model": "gpt-4", + "messages": [{"role": "user", "content": "Hello"}], + "prompt_cache_key": "cache-key-1" + }); + + let universal = adapter.request_to_universal(payload).unwrap(); + + assert_eq!( + universal.params.prompt_cache_key, + Some("cache-key-1".to_string()) + ); + } + + #[test] + fn test_openai_prompt_cache_key_exports_from_canonical_param() { + let adapter = OpenAIAdapter; + let req = UniversalRequest { + model: Some("gpt-4".to_string()), + messages: vec![Message::User { + content: UserContent::String("Hello".to_string()), + }], + params: UniversalParams { + prompt_cache_key: Some("cache-key-1".to_string()), + ..Default::default() + }, + }; + + let value = adapter.request_from_universal(&req).unwrap(); + + assert_eq!(value["prompt_cache_key"], json!("cache-key-1")); + } + #[test] fn test_openai_preserves_extras() { let adapter = OpenAIAdapter; diff --git a/crates/lingua/src/providers/openai/responses_adapter.rs b/crates/lingua/src/providers/openai/responses_adapter.rs index cb66de15..6c0672d7 100644 --- a/crates/lingua/src/providers/openai/responses_adapter.rs +++ b/crates/lingua/src/providers/openai/responses_adapter.rs @@ -209,6 +209,7 @@ impl ProviderAdapter for ResponsesAdapter { Some(conversation_reference) }, service_tier: typed_params.service_tier, + prompt_cache_key: typed_params.prompt_cache_key.clone(), logprobs: None, // Responses API doesn't support logprobs boolean top_logprobs: typed_params.top_logprobs, extras: Default::default(), @@ -414,6 +415,14 @@ impl ProviderAdapter for ResponsesAdapter { obj.insert("service_tier".into(), Value::String(service_tier.clone())); } + // Add prompt_cache_key from canonical params + if let Some(ref prompt_cache_key) = req.params.prompt_cache_key { + obj.insert( + "prompt_cache_key".into(), + Value::String(prompt_cache_key.clone()), + ); + } + // Merge back provider-specific extras (only for Responses API) if let Some(extras) = responses_extras { for (k, v) in extras { @@ -1017,6 +1026,42 @@ mod tests { assert!(adapter.detect_request(&payload)); } + #[test] + fn test_responses_prompt_cache_key_imports_to_canonical_param() { + let adapter = ResponsesAdapter; + let payload = json!({ + "model": "gpt-5-nano", + "input": [{"role": "user", "content": "Hello"}], + "prompt_cache_key": "cache-key-1" + }); + + let universal = adapter.request_to_universal(payload).unwrap(); + + assert_eq!( + universal.params.prompt_cache_key, + Some("cache-key-1".to_string()) + ); + } + + #[test] + fn test_responses_prompt_cache_key_exports_from_canonical_param() { + let adapter = ResponsesAdapter; + let req = UniversalRequest { + model: Some("gpt-5-nano".to_string()), + messages: vec![Message::User { + content: UserContent::String("Hello".to_string()), + }], + params: UniversalParams { + prompt_cache_key: Some("cache-key-1".to_string()), + ..Default::default() + }, + }; + + let value = adapter.request_from_universal(&req).unwrap(); + + assert_eq!(value["prompt_cache_key"], json!("cache-key-1")); + } + #[test] fn test_responses_item_reference_imports_to_conversation_reference() { let adapter = ResponsesAdapter; diff --git a/crates/lingua/src/universal/request.rs b/crates/lingua/src/universal/request.rs index d525dd9a..3c4e516a 100644 --- a/crates/lingua/src/universal/request.rs +++ b/crates/lingua/src/universal/request.rs @@ -191,6 +191,11 @@ pub struct UniversalParams { /// **Providers:** OpenAI, Anthropic pub service_tier: Option, + /// Stable cache-bucketing key for prompt caching. + /// + /// **Providers:** OpenAI Chat Completions, OpenAI Responses + pub prompt_cache_key: Option, + // === Streaming === /// Stream the response as server-sent events. /// diff --git a/payloads/cases/params.ts b/payloads/cases/params.ts index 35965f4c..c5a71b66 100644 --- a/payloads/cases/params.ts +++ b/payloads/cases/params.ts @@ -77,6 +77,22 @@ export const paramsCases: TestCaseCollection = { }, }, + openaiPromptCacheKeyParam: { + "chat-completions": { + model: OPENAI_CHAT_COMPLETIONS_MODEL, + messages: [{ role: "user", content: "Summarize the cached policy." }], + prompt_cache_key: "policy-cache-v1", + }, + responses: { + model: OPENAI_RESPONSES_MODEL, + input: [{ role: "user", content: "Summarize the cached policy." }], + prompt_cache_key: "policy-cache-v1", + }, + anthropic: null, + google: null, + bedrock: null, + }, + // === Reasoning Configuration === reasoningSummaryParam: { diff --git a/payloads/scripts/transforms/__snapshots__/transforms-streaming.test.ts.snap b/payloads/scripts/transforms/__snapshots__/transforms-streaming.test.ts.snap index b09f1851..6ae0181c 100644 --- a/payloads/scripts/transforms/__snapshots__/transforms-streaming.test.ts.snap +++ b/payloads/scripts/transforms/__snapshots__/transforms-streaming.test.ts.snap @@ -4881,6 +4881,86 @@ data: [DONE] " `; +exports[`streaming: chat-completions → bedrock > openaiPromptCacheKeyParam > streaming 1`] = ` +"data: {"choices":[],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"I don't have access to any cache","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"d policy","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" to","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" summarize. There","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"'s","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" no policy ","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"document or text","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" provide","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"d in our","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" conversation that I can reference","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":".\\n\\nIf you'd like me to","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" summarize a policy","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":", please:","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"\\n1. **","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"Share the policy text** directly","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" in your","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" message,","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" or\\n2. **Provide a","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" link","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"** to the policy,","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" or\\n3. **Specify","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" which policy**","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" you're","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" referring","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" to (","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":"company","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" name","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":", policy","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" type","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":", etc.)\\n\\nOnce you provide","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" this","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" information, I'll be happy to create","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{"content":" a concise summary for you.","role":"assistant"},"finish_reason":null,"index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[],"object":"chat.completion.chunk"} + +data: {"choices":[{"delta":{},"finish_reason":"stop","index":0}],"object":"chat.completion.chunk"} + +data: {"choices":[],"object":"chat.completion.chunk","usage":{"completion_tokens":115,"prompt_tokens":14,"total_tokens":129}} + +data: [DONE] + +" +`; + exports[`streaming: chat-completions → bedrock > opus47AdaptiveThinkingReasoningEffortParam > streaming 1`] = ` "data: {"choices":[],"object":"chat.completion.chunk"} diff --git a/payloads/scripts/transforms/__snapshots__/transforms.test.ts.snap b/payloads/scripts/transforms/__snapshots__/transforms.test.ts.snap index 4a61f908..e3c8c82f 100644 --- a/payloads/scripts/transforms/__snapshots__/transforms.test.ts.snap +++ b/payloads/scripts/transforms/__snapshots__/transforms.test.ts.snap @@ -7635,6 +7635,19 @@ exports[`chat-completions → anthropic > nMultipleCompletionsParam > response 1 } `; +exports[`chat-completions → anthropic > openaiPromptCacheKeyParam > request 1`] = ` +{ + "max_tokens": 4096, + "messages": [ + { + "content": "Summarize the cached policy.", + "role": "user", + }, + ], + "model": "claude-sonnet-4-5-20250929", +} +`; + exports[`chat-completions → anthropic > opus47AdaptiveThinkingReasoningEffortParam > request 1`] = ` { "max_tokens": 4096, @@ -10215,6 +10228,57 @@ exports[`chat-completions → bedrock > nMultipleCompletionsParam > response 1`] } `; +exports[`chat-completions → bedrock > openaiPromptCacheKeyParam > request 1`] = ` +{ + "messages": [ + { + "content": [ + { + "text": "Summarize the cached policy.", + }, + ], + "role": "user", + }, + ], + "modelId": "us.anthropic.claude-haiku-4-5-20251001-v1:0", +} +`; + +exports[`chat-completions → bedrock > openaiPromptCacheKeyParam > response 1`] = ` +{ + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "message": { + "annotations": [], + "content": "I don't have access to any cached policy to summarize. I don't see any policy document in our conversation history. + +Could you please: +1. **Share the policy** you'd like me to summarize, or +2. **Clarify which policy** you're referring to (company policy, privacy policy, terms of service, etc.), or +3. **Paste the policy text** directly if you'd like me to analyze it? + +Once you provide the policy, I'll be happy to create a clear, concise summary for you.", + "role": "assistant", + }, + }, + ], + "created": 0, + "id": "chatcmpl-transformed", + "model": "transformed", + "object": "chat.completion", + "usage": { + "completion_tokens": 120, + "prompt_tokens": 14, + "prompt_tokens_details": { + "cached_tokens": 0, + }, + "total_tokens": 134, + }, +} +`; + exports[`chat-completions → bedrock > opus47AdaptiveThinkingReasoningEffortParam > request 1`] = ` { "additionalModelRequestFields": { @@ -13079,6 +13143,22 @@ exports[`chat-completions → google > nMultipleCompletionsParam > response 1`] } `; +exports[`chat-completions → google > openaiPromptCacheKeyParam > request 1`] = ` +{ + "contents": [ + { + "parts": [ + { + "text": "Summarize the cached policy.", + }, + ], + "role": "user", + }, + ], + "model": "gemini-2.5-flash", +} +`; + exports[`chat-completions → google > opus47AdaptiveThinkingReasoningEffortParam > request 1`] = ` { "contents": [ @@ -16143,6 +16223,75 @@ exports[`chat-completions → responses > nMultipleCompletionsParam > response 1 } `; +exports[`chat-completions → responses > openaiPromptCacheKeyParam > request 1`] = ` +{ + "input": [ + { + "content": "Summarize the cached policy.", + "role": "user", + }, + ], + "model": "gpt-5-nano", + "prompt_cache_key": "policy-cache-v1", +} +`; + +exports[`chat-completions → responses > openaiPromptCacheKeyParam > response 1`] = ` +{ + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "message": { + "annotations": [], + "reasoning": "", + "role": "assistant", + }, + }, + { + "finish_reason": "stop", + "index": 1, + "message": { + "annotations": [], + "content": "I don’t have access to a specific “cached policy” in this chat. If you share the policy text (or a link/document), I’ll summarize it right away. + +If you’d like to proceed with a summary structure yourself, here’s a concise template you can use: +- Purpose and scope: what the policy covers and who it applies to. +- Key requirements: the main rules or actions required or prohibited. +- Roles and responsibilities: who enforces it and who must comply. +- Exceptions and compliance: how exceptions are requested/approved and how compliance is monitored. +- Enforcement and penalties: consequences for violations. +- Review and update: how often it’s reviewed and updated. +- Definitions and references: key terms and any related documents. + +If you paste the policy text, I can provide: +- A one-paragraph executive summary. +- A bullet-point outline of the main requirements. +- A brief section-by-section summary (if the document is long). + +Would you like to share the policy now, or tell me your preferred length and audience for the summary?", + "role": "assistant", + }, + }, + ], + "created": 0, + "id": "chatcmpl-01ea2ae9a7dbf6ee006a1b4a17ec5c81a3b6d9fb8d538b970b", + "model": "gpt-5-nano-2025-08-07", + "object": "chat.completion", + "usage": { + "completion_tokens": 1122, + "completion_tokens_details": { + "reasoning_tokens": 896, + }, + "prompt_tokens": 13, + "prompt_tokens_details": { + "cached_tokens": 0, + }, + "total_tokens": 1135, + }, +} +`; + exports[`chat-completions → responses > opus47AdaptiveThinkingReasoningEffortParam > request 1`] = ` { "input": [ @@ -16530,6 +16679,7 @@ exports[`chat-completions → responses > promptCacheKeyParam > request 1`] = ` }, ], "model": "gpt-5-nano", + "prompt_cache_key": "user-123-ml-explanation", } `; @@ -27191,6 +27341,19 @@ exports[`responses → anthropic > multimodalRequest > response 1`] = ` } `; +exports[`responses → anthropic > openaiPromptCacheKeyParam > request 1`] = ` +{ + "max_tokens": 4096, + "messages": [ + { + "content": "Summarize the cached policy.", + "role": "user", + }, + ], + "model": "claude-sonnet-4-5-20250929", +} +`; + exports[`responses → anthropic > parallelToolCallsDisabledParam > request 1`] = ` { "max_tokens": 4096, @@ -30396,6 +30559,22 @@ exports[`responses → google > multimodalRequest > response 1`] = ` } `; +exports[`responses → google > openaiPromptCacheKeyParam > request 1`] = ` +{ + "contents": [ + { + "parts": [ + { + "text": "Summarize the cached policy.", + }, + ], + "role": "user", + }, + ], + "model": "gemini-2.5-flash", +} +`; + exports[`responses → google > parallelToolCallsDisabledParam > request 1`] = ` { "contents": [ diff --git a/payloads/snapshots/openaiPromptCacheKeyParam/chat-completions/followup-request.json b/payloads/snapshots/openaiPromptCacheKeyParam/chat-completions/followup-request.json new file mode 100644 index 00000000..239eda09 --- /dev/null +++ b/payloads/snapshots/openaiPromptCacheKeyParam/chat-completions/followup-request.json @@ -0,0 +1,20 @@ +{ + "model": "gpt-5-nano", + "messages": [ + { + "role": "user", + "content": "Summarize the cached policy." + }, + { + "role": "assistant", + "content": "I don’t have the cached policy text here. 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Pick the option you prefer, and I’ll help you dive in.\n\nSimple plan (no text yet)\n- Tell me the policy name or paste the text.\n- Tell me your audience (leadership, engineers, compliance) and desired length.\n- I’ll deliver either:\n - an executive summary (1–2 paragraphs), or\n - a section-by-section outline (bullet points per section).\n\nWhat you can do now\n- Option 1: Paste the policy text (or a link) here. 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I’ll summarize it.\n- Option 2: Tell me the policy name, audience, and basic goal, and I’ll draft a ready-to-use summary outline.\n- Option 3: I’ll give you a starter template you can fill in (purpose, scope, key requirements, roles, privacy/Data, enforcement, exceptions, review date).\n\nNext steps you can take regardless\n1) Confirm policy identity: name, version/date, jurisdiction, intended audience.\n2) Decide the output: executive summary vs. detailed outline.\n3) Gather related docs (related policies, laws, standards) to ensure consistency.\n4) Create a draft summary (I can produce it once you supply the text or details).\n5) Review with stakeholders (legal/compliance, privacy, leadership).\n6) Create an implementation plan (training, rollout, audits, responsibilities).\n7) Set a review/update cadence and version control.\n\nIf you want, tell me the policy name and audience and I’ll generate a concise executive summary right away." + }, + "sequence_number": 320 + }, + { + "type": "response.output_item.done", + "item": { + "id": "msg_02b08795987a78c2006a1b4a14a00c81a1898954211458f1b9", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": "Here’s a practical path forward. Pick the option you prefer, and I’ll help you dive in.\n\nSimple plan (no text yet)\n- Tell me the policy name or paste the text.\n- Tell me your audience (leadership, engineers, compliance) and desired length.\n- I’ll deliver either:\n - an executive summary (1–2 paragraphs), or\n - a section-by-section outline (bullet points per section).\n\nWhat you can do now\n- Option 1: Paste the policy text (or a link) here. 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Pick the option you prefer, and I’ll help you dive in.\n\nSimple plan (no text yet)\n- Tell me the policy name or paste the text.\n- Tell me your audience (leadership, engineers, compliance) and desired length.\n- I’ll deliver either:\n - an executive summary (1–2 paragraphs), or\n - a section-by-section outline (bullet points per section).\n\nWhat you can do now\n- Option 1: Paste the policy text (or a link) here. I’ll summarize it.\n- Option 2: Tell me the policy name, audience, and basic goal, and I’ll draft a ready-to-use summary outline.\n- Option 3: I’ll give you a starter template you can fill in (purpose, scope, key requirements, roles, privacy/Data, enforcement, exceptions, review date).\n\nNext steps you can take regardless\n1) Confirm policy identity: name, version/date, jurisdiction, intended audience.\n2) Decide the output: executive summary vs. detailed outline.\n3) Gather related docs (related policies, laws, standards) to ensure consistency.\n4) Create a draft summary (I can produce it once you supply the text or details).\n5) Review with stakeholders (legal/compliance, privacy, leadership).\n6) Create an implementation plan (training, rollout, audits, responsibilities).\n7) Set a review/update cadence and version control.\n\nIf you want, tell me the policy name and audience and I’ll generate a concise executive summary right away." + } + ], + "role": "assistant" + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": "policy-cache-v1", + "prompt_cache_retention": "in_memory", + "reasoning": { + "context": "current_turn", + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 190, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 1223, + "output_tokens_details": { + "reasoning_tokens": 896 + }, + "total_tokens": 1413 + }, + "user": null, + "metadata": {} + }, + "sequence_number": 322 + } +] \ No newline at end of file diff --git a/payloads/snapshots/openaiPromptCacheKeyParam/responses/followup-response.json b/payloads/snapshots/openaiPromptCacheKeyParam/responses/followup-response.json new file mode 100644 index 00000000..6605c837 --- /dev/null +++ b/payloads/snapshots/openaiPromptCacheKeyParam/responses/followup-response.json @@ -0,0 +1,79 @@ +{ + "id": "resp_02b08795987a78c2006a1b4a0ffff481a183a7d69af769e7ab", + "object": "response", + "created_at": 1780173328, + "status": "completed", + "background": false, + "billing": { + "payer": "developer" + }, + "completed_at": 1780173334, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": null, + "max_output_tokens": null, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "moderation": null, + "output": [ + { + "id": "rs_02b08795987a78c2006a1b4a10697081a186d0934ef1d237e2", + "type": "reasoning", + "summary": [] + }, + { + "id": "msg_02b08795987a78c2006a1b4a15084081a18b969bd5f7b3820c", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": "Sure. Here are practical next steps you can take, plus options I can handle for you:\n\nWhat you can do now\n- Paste the policy text (or a link) here. 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Just tell me which format you want and whether you’ll share the text or just the policy name." + } + ], + "role": "assistant" + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": "policy-cache-v1", + "prompt_cache_retention": "in_memory", + "reasoning": { + "context": "current_turn", + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 190, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 1307, + "output_tokens_details": { + "reasoning_tokens": 960 + }, + "total_tokens": 1497 + }, + "user": null, + "metadata": {}, + "output_text": "Sure. Here are practical next steps you can take, plus options I can handle for you:\n\nWhat you can do now\n- Paste the policy text (or a link) here. 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Just tell me which format you want and whether you’ll share the text or just the policy name." +} \ No newline at end of file diff --git a/payloads/snapshots/openaiPromptCacheKeyParam/responses/request.json b/payloads/snapshots/openaiPromptCacheKeyParam/responses/request.json new file mode 100644 index 00000000..0d6bbbf2 --- /dev/null +++ b/payloads/snapshots/openaiPromptCacheKeyParam/responses/request.json @@ -0,0 +1,10 @@ +{ + "model": "gpt-5-nano", + "input": [ + { + "role": "user", + "content": "Summarize the cached policy." + } + ], + "prompt_cache_key": "policy-cache-v1" +} \ No newline at end of file diff --git a/payloads/snapshots/openaiPromptCacheKeyParam/responses/response-streaming.json b/payloads/snapshots/openaiPromptCacheKeyParam/responses/response-streaming.json new file mode 100644 index 00000000..68d7f6b5 --- /dev/null +++ b/payloads/snapshots/openaiPromptCacheKeyParam/responses/response-streaming.json @@ -0,0 +1,2585 @@ +[ + { + "type": "response.created", + 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Here’s a typical one-page summary template I can produce:\n\n- Purpose: the main goal of the policy\n- Scope and applicability: who/what it covers\n- Key requirements or rules: the essential actions or prohibitions\n- Roles and responsibilities: who must do what\n- Procedures and workflows: steps to comply\n- Compliance and enforcement: how compliance is monitored and consequences for violations\n- Exceptions and approvals: when deviations are allowed and how to obtain them\n- Review and updates: how often it’s reviewed and updated\n- Effective date and contact: when it starts and whom to contact for questions\n\nShare the policy text or tell me which policy to summarize, and specify whether you want a brief summary (a couple of bullet points) or a more detailed summary (a few paragraphs)." + } + ], + "role": "assistant" + }, + "output_index": 1, + "sequence_number": 240 + }, + { + "type": "response.completed", + "response": { + "id": "resp_029269d8bb2b3335006a1b4a09015081a28e17d74f92c3fd97", + "object": "response", + "created_at": 1780173321, + "status": "completed", + "background": false, + "completed_at": 1780173326, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": null, + "max_output_tokens": null, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "moderation": null, + "output": [ + { + "id": "rs_029269d8bb2b3335006a1b4a0953b081a287a671a36ffde029", + "type": "reasoning", + "summary": [] + }, + { + "id": "msg_029269d8bb2b3335006a1b4a0ce17481a28a2f7f8a28edd920", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": "I don’t have a specific “cached policy” to summarize unless you provide the text or the exact policy name/url. If you share the policy you’re referring to (paste the text or tell me where to find it), I’ll summarize it.\n\nIf you’d like, I can also summarize any policy you’re working with using a concise, structured format. Here’s a typical one-page summary template I can produce:\n\n- Purpose: the main goal of the policy\n- Scope and applicability: who/what it covers\n- Key requirements or rules: the essential actions or prohibitions\n- Roles and responsibilities: who must do what\n- Procedures and workflows: steps to comply\n- Compliance and enforcement: how compliance is monitored and consequences for violations\n- Exceptions and approvals: when deviations are allowed and how to obtain them\n- Review and updates: how often it’s reviewed and updated\n- Effective date and contact: when it starts and whom to contact for questions\n\nShare the policy text or tell me which policy to summarize, and specify whether you want a brief summary (a couple of bullet points) or a more detailed summary (a few paragraphs)." + } + ], + "role": "assistant" + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": "policy-cache-v1", + "prompt_cache_retention": "in_memory", + "reasoning": { + "context": "current_turn", + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 13, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 829, + "output_tokens_details": { + "reasoning_tokens": 576 + }, + "total_tokens": 842 + }, + "user": null, + "metadata": {} + }, + "sequence_number": 241 + } +] \ No newline at end of file diff --git a/payloads/snapshots/openaiPromptCacheKeyParam/responses/response.json b/payloads/snapshots/openaiPromptCacheKeyParam/responses/response.json new file mode 100644 index 00000000..7ede50f6 --- /dev/null +++ b/payloads/snapshots/openaiPromptCacheKeyParam/responses/response.json @@ -0,0 +1,79 @@ +{ + "id": "resp_02b08795987a78c2006a1b4a09784481a1a44a292845e8ea5b", + "object": "response", + "created_at": 1780173321, + "status": "completed", + "background": false, + "billing": { + "payer": "developer" + }, + "completed_at": 1780173327, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": null, + "max_output_tokens": null, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "moderation": null, + "output": [ + { + "id": "rs_02b08795987a78c2006a1b4a09ea3481a19f4e2ab79d54dc0b", + "type": "reasoning", + "summary": [] + }, + { + "id": "msg_02b08795987a78c2006a1b4a0ec3c081a1938c84687d8380bc", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": "I don’t have the cached policy content here. Could you share the text (or a link) to the policy you want summarized? If you can’t paste it, tell me the policy name and the intended audience.\n\nIf helpful, I can provide either a quick executive summary or a detailed section-by-section recap. Here are two common formats I can deliver:\n\n- Executive summary (1–2 paragraphs): captures purpose, scope, and the top requirements.\n- Section-by-section outline: bullet points for each section (Purpose, Scope, Key requirements, Roles and responsibilities, Data/privacy considerations, Enforcement, Exceptions, Review/update frequency, Definitions).\n\nIf you’d like, I can also tailor the summary to a specific audience (e.g., leadership, engineers, compliance) and keep it to a preferred length." + } + ], + "role": "assistant" + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": "policy-cache-v1", + "prompt_cache_retention": "in_memory", + "reasoning": { + "context": "current_turn", + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 13, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 891, + "output_tokens_details": { + "reasoning_tokens": 704 + }, + "total_tokens": 904 + }, + "user": null, + "metadata": {}, + "output_text": "I don’t have the cached policy content here. Could you share the text (or a link) to the policy you want summarized? If you can’t paste it, tell me the policy name and the intended audience.\n\nIf helpful, I can provide either a quick executive summary or a detailed section-by-section recap. Here are two common formats I can deliver:\n\n- Executive summary (1–2 paragraphs): captures purpose, scope, and the top requirements.\n- Section-by-section outline: bullet points for each section (Purpose, Scope, Key requirements, Roles and responsibilities, Data/privacy considerations, Enforcement, Exceptions, Review/update frequency, Definitions).\n\nIf you’d like, I can also tailor the summary to a specific audience (e.g., leadership, engineers, compliance) and keep it to a preferred length." +} \ No newline at end of file diff --git a/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam-streaming.json b/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam-streaming.json new file mode 100644 index 00000000..4035b16e --- /dev/null +++ b/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam-streaming.json @@ -0,0 +1,293 @@ +[ + { + "messageStart": { + "role": "assistant" + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "I don't have access to any cache" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "d policy" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " to" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " summarize. There" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "'s" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " no policy " + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "document or text" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " provide" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "d in our" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " conversation that I can reference" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": ".\n\nIf you'd like me to" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " summarize a policy" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": ", please:" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "\n1. **" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "Share the policy text** directly" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " in your" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " message," + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " or\n2. **Provide a" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " link" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "** to the policy," + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " or\n3. **Specify" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " which policy**" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " you're" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " referring" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " to (" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": "company" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " name" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": ", policy" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " type" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": ", etc.)\n\nOnce you provide" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " this" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " information, I'll be happy to create" + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockDelta": { + "delta": { + "text": " a concise summary for you." + }, + "contentBlockIndex": 0 + } + }, + { + "contentBlockStop": { + "contentBlockIndex": 0 + } + }, + { + "messageStop": { + "stopReason": "end_turn" + } + }, + { + "metadata": { + "usage": { + "inputTokens": 14, + "outputTokens": 115, + "totalTokens": 129 + }, + "metrics": { + "latencyMs": 1572 + } + } + } +] \ No newline at end of file diff --git a/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam.json b/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam.json new file mode 100644 index 00000000..262d9706 --- /dev/null +++ b/payloads/transforms/chat-completions_to_bedrock/openaiPromptCacheKeyParam.json @@ -0,0 +1,29 @@ +{ + "output": { + "message": { + "role": "assistant", + "content": [ + { + "text": "I don't have access to any cached policy to summarize. I don't see any policy document in our conversation history.\n\nCould you please:\n1. **Share the policy** you'd like me to summarize, or\n2. **Clarify which policy** you're referring to (company policy, privacy policy, terms of service, etc.), or\n3. **Paste the policy text** directly if you'd like me to analyze it?\n\nOnce you provide the policy, I'll be happy to create a clear, concise summary for you." + } + ] + } + }, + "stopReason": "end_turn", + "usage": { + "inputTokens": 14, + "outputTokens": 120, + "totalTokens": 134, + "cacheReadInputTokens": 0, + "cacheWriteInputTokens": 0 + }, + "metrics": { + "latencyMs": 1427 + }, + "$metadata": { + "httpStatusCode": 200, + "requestId": "7a5bdeb4-1dc3-4d14-a962-e326e1909cac", + "attempts": 1, + "totalRetryDelay": 0 + } +} \ No newline at end of file diff --git a/payloads/transforms/chat-completions_to_responses/openaiPromptCacheKeyParam.json b/payloads/transforms/chat-completions_to_responses/openaiPromptCacheKeyParam.json new file mode 100644 index 00000000..3a290f9e --- /dev/null +++ b/payloads/transforms/chat-completions_to_responses/openaiPromptCacheKeyParam.json @@ -0,0 +1,79 @@ +{ + "id": "resp_01ea2ae9a7dbf6ee006a1b4a17ec5c81a3b6d9fb8d538b970b", + "object": "response", + "created_at": 1780173335, + "status": "completed", + "background": false, + "billing": { + "payer": "developer" + }, + "completed_at": 1780173341, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": null, + "max_output_tokens": null, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "moderation": null, + "output": [ + { + "id": "rs_01ea2ae9a7dbf6ee006a1b4a18435c81a3b5ffb657bcaab1ae", + "type": "reasoning", + "summary": [] + }, + { + "id": "msg_01ea2ae9a7dbf6ee006a1b4a1c92b881a3977aee3dbb66d8f8", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": "I don’t have access to a specific “cached policy” in this chat. If you share the policy text (or a link/document), I’ll summarize it right away.\n\nIf you’d like to proceed with a summary structure yourself, here’s a concise template you can use:\n- Purpose and scope: what the policy covers and who it applies to.\n- Key requirements: the main rules or actions required or prohibited.\n- Roles and responsibilities: who enforces it and who must comply.\n- Exceptions and compliance: how exceptions are requested/approved and how compliance is monitored.\n- Enforcement and penalties: consequences for violations.\n- Review and update: how often it’s reviewed and updated.\n- Definitions and references: key terms and any related documents.\n\nIf you paste the policy text, I can provide:\n- A one-paragraph executive summary.\n- A bullet-point outline of the main requirements.\n- A brief section-by-section summary (if the document is long). \n\nWould you like to share the policy now, or tell me your preferred length and audience for the summary?" + } + ], + "role": "assistant" + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": "policy-cache-v1", + "prompt_cache_retention": "in_memory", + "reasoning": { + "context": "current_turn", + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 13, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 1122, + "output_tokens_details": { + "reasoning_tokens": 896 + }, + "total_tokens": 1135 + }, + "user": null, + "metadata": {}, + "output_text": "I don’t have access to a specific “cached policy” in this chat. If you share the policy text (or a link/document), I’ll summarize it right away.\n\nIf you’d like to proceed with a summary structure yourself, here’s a concise template you can use:\n- Purpose and scope: what the policy covers and who it applies to.\n- Key requirements: the main rules or actions required or prohibited.\n- Roles and responsibilities: who enforces it and who must comply.\n- Exceptions and compliance: how exceptions are requested/approved and how compliance is monitored.\n- Enforcement and penalties: consequences for violations.\n- Review and update: how often it’s reviewed and updated.\n- Definitions and references: key terms and any related documents.\n\nIf you paste the policy text, I can provide:\n- A one-paragraph executive summary.\n- A bullet-point outline of the main requirements.\n- A brief section-by-section summary (if the document is long). \n\nWould you like to share the policy now, or tell me your preferred length and audience for the summary?" +} \ No newline at end of file diff --git a/specs/anthropic/.stats.yml b/specs/anthropic/.stats.yml index 3cc2f139..9de2815a 100644 --- a/specs/anthropic/.stats.yml +++ b/specs/anthropic/.stats.yml @@ -1,4 +1,4 @@ configured_endpoints: 106 -openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/anthropic/anthropic-945e3a57b7a6fa5974baf70845ebafdb25f185625f6e2fab98dc034e44d14a5a.yml -openapi_spec_hash: e7c214b4d3bd33e1ca39451a8727897c -config_hash: 4cc78a8eca8090f65d574c5f03a0ba0a +openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/anthropic/anthropic-3044bdebca823a5e350accb2a228438e6ca5fb06cbac2cb1e0f98baa2bcc2359.yml +openapi_spec_hash: 2790eecb0b38738a32441184273601a7 +config_hash: 54a8475666d840df59a2a85a8c02b274 diff --git a/specs/anthropic/openapi.yml b/specs/anthropic/openapi.yml index 3721ba44..deb73329 100644 --- a/specs/anthropic/openapi.yml +++ b/specs/anthropic/openapi.yml @@ -14743,7 +14743,7 @@ ], "title": "Content" }, - "role": { "enum": ["user", "assistant"], "title": "Role", "type": "string" } + "role": { "enum": ["user", "assistant", "system"], "title": "Role", "type": "string" } }, "required": ["content", "role"], "title": "InputMessage", @@ -21277,6 +21277,11 @@ "title": "Output Tokens", "type": "integer" }, + "output_tokens_details": { + "anyOf": [{ "$ref": "#/components/schemas/BetaOutputTokensDetails" }, { "type": "null" }], + "default": null, + "description": "Breakdown of output tokens by category.\n\n`output_tokens` remains the inclusive, authoritative total used for billing.\nThis object provides a read-only decomposition for observability — for example,\nhow many of the billed output tokens were spent on internal reasoning that may\nhave been summarized before being returned to you." + }, "server_tool_use": { "anyOf": [{ "$ref": "#/components/schemas/BetaServerToolUsage" }, { "type": "null" }], "default": null, @@ -21289,6 +21294,7 @@ "input_tokens", "iterations", "output_tokens", + "output_tokens_details", "server_tool_use" ], "title": "MessageDeltaUsage", @@ -21541,6 +21547,20 @@ "title": "OutputConfig", "type": "object" }, + "BetaOutputTokensDetails": { + "properties": { + "thinking_tokens": { + "default": 0, + "description": "Number of output tokens the model generated as internal reasoning, including\nthe thinking-block delimiter tokens.\n\nReflects the raw reasoning the model produced, not the (possibly shorter)\nsummarized thinking text returned in the response body. Computed by\nre-tokenizing the raw reasoning text, so it may differ from the model's exact\ngeneration count by a small number of tokens. Always ≤ `output_tokens`;\n`output_tokens - thinking_tokens` approximates the non-reasoning output.", + "minimum": 0, + "title": "Thinking Tokens", + "type": "integer" + } + }, + "required": ["thinking_tokens"], + "title": "OutputTokensDetails", + "type": "object" + }, "BetaOverloadedError": { "properties": { "message": { "default": "Overloaded", "title": "Message", "type": "string" }, @@ -21848,6 +21868,7 @@ "title": "Encrypted Content", "type": "string" }, + "stop_reason": { "anyOf": [{ "type": "string" }, { "type": "null" }], "title": "Stop Reason" }, "type": { "const": "advisor_redacted_result", "title": "Type", "type": "string" } }, "required": ["encrypted_content", "type"], @@ -21857,6 +21878,7 @@ "BetaRequestAdvisorResultBlock": { "additionalProperties": false, "properties": { + "stop_reason": { "anyOf": [{ "type": "string" }, { "type": "null" }], "title": "Stop Reason" }, "text": { "title": "Text", "type": "string" }, "type": { "const": "advisor_result", "title": "Type", "type": "string" } }, @@ -22430,6 +22452,42 @@ "title": "RequestMCPToolUseBlock", "type": "object" }, + "BetaRequestMidConvSystemBlock": { + "additionalProperties": false, + "description": "System instructions that appear mid-conversation.\n\nUse this block to provide or update system-level instructions at a specific\npoint in the conversation, rather than only via the top-level `system` parameter.", + "properties": { + "cache_control": { + "anyOf": [ + { + "discriminator": { + "mapping": { "ephemeral": "#/components/schemas/BetaCacheControlEphemeral" }, + "propertyName": "type" + }, + "oneOf": [{ "$ref": "#/components/schemas/BetaCacheControlEphemeral" }] + }, + { "type": "null" } + ], + "description": "Create a cache control breakpoint at this content block.", + "title": "Cache Control" + }, + "content": { + "description": "System instruction text blocks.", + "items": { + "discriminator": { + "mapping": { "text": "#/components/schemas/BetaRequestTextBlock" }, + "propertyName": "type" + }, + "oneOf": [{ "$ref": "#/components/schemas/BetaRequestTextBlock" }] + }, + "title": "Content", + "type": "array" + }, + "type": { "const": "mid_conv_system", "title": "Type", "type": "string" } + }, + "required": ["content", "type"], + "title": "RequestMidConvSystemBlock", + "type": "object" + }, "BetaRequestPageLocationCitation": { "additionalProperties": false, "properties": { @@ -23107,6 +23165,12 @@ "title": "Encrypted Content", "type": "string" }, + "stop_reason": { + "anyOf": [{ "type": "string" }, { "type": "null" }], + "default": null, + "description": "The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`).", + "title": "Stop Reason" + }, "type": { "const": "advisor_redacted_result", "default": "advisor_redacted_result", @@ -23114,12 +23178,18 @@ "type": "string" } }, - "required": ["encrypted_content", "type"], + "required": ["encrypted_content", "stop_reason", "type"], "title": "ResponseAdvisorRedactedResultBlock", "type": "object" }, "BetaResponseAdvisorResultBlock": { "properties": { + "stop_reason": { + "anyOf": [{ "type": "string" }, { "type": "null" }], + "default": null, + "description": "The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). `max_tokens` indicates the advisor's output was truncated at the tool's `max_tokens` value or the advisor model's policy cap.", + "title": "Stop Reason" + }, "text": { "title": "Text", "type": "string" }, "type": { "const": "advisor_result", @@ -23128,7 +23198,7 @@ "type": "string" } }, - "required": ["text", "type"], + "required": ["stop_reason", "text", "type"], "title": "ResponseAdvisorResultBlock", "type": "object" }, @@ -25356,6 +25426,11 @@ "title": "Output Tokens", "type": "integer" }, + "output_tokens_details": { + "anyOf": [{ "$ref": "#/components/schemas/BetaOutputTokensDetails" }, { "type": "null" }], + "default": null, + "description": "Breakdown of output tokens by category.\n\n`output_tokens` remains the inclusive, authoritative total used for billing.\nThis object provides a read-only decomposition for observability — for example,\nhow many of the billed output tokens were spent on internal reasoning that may\nhave been summarized before being returned to you." + }, "server_tool_use": { "anyOf": [{ "$ref": "#/components/schemas/BetaServerToolUsage" }, { "type": "null" }], "default": null, @@ -25381,6 +25456,7 @@ "input_tokens", "iterations", "output_tokens", + "output_tokens_details", "server_tool_use", "service_tier", "speed" @@ -25518,6 +25594,7 @@ "invalid_tool_input", "url_too_long", "url_not_allowed", + "url_not_in_prior_context", "url_not_accessible", "unsupported_content_type", "too_many_requests", @@ -27289,7 +27366,7 @@ ], "title": "Content" }, - "role": { "enum": ["user", "assistant"], "title": "Role", "type": "string" } + "role": { "enum": ["user", "assistant", "system"], "title": "Role", "type": "string" } }, "required": ["content", "role"], "title": "InputMessage", @@ -27738,6 +27815,11 @@ "title": "Output Tokens", "type": "integer" }, + "output_tokens_details": { + "anyOf": [{ "$ref": "#/components/schemas/OutputTokensDetails" }, { "type": "null" }], + "default": null, + "description": "Breakdown of output tokens by category.\n\n`output_tokens` remains the inclusive, authoritative total used for billing.\nThis object provides a read-only decomposition for observability — for example,\nhow many of the billed output tokens were spent on internal reasoning that may\nhave been summarized before being returned to you." + }, "server_tool_use": { "anyOf": [{ "$ref": "#/components/schemas/ServerToolUsage" }, { "type": "null" }], "default": null, @@ -27749,6 +27831,7 @@ "cache_read_input_tokens", "input_tokens", "output_tokens", + "output_tokens_details", "server_tool_use" ], "title": "MessageDeltaUsage", @@ -27947,6 +28030,20 @@ "title": "OutputConfig", "type": "object" }, + "OutputTokensDetails": { + "properties": { + "thinking_tokens": { + "default": 0, + "description": "Number of output tokens the model generated as internal reasoning, including\nthe thinking-block delimiter tokens.\n\nReflects the raw reasoning the model produced, not the (possibly shorter)\nsummarized thinking text returned in the response body. Computed by\nre-tokenizing the raw reasoning text, so it may differ from the model's exact\ngeneration count by a small number of tokens. Always ≤ `output_tokens`;\n`output_tokens - thinking_tokens` approximates the non-reasoning output.", + "minimum": 0, + "title": "Thinking Tokens", + "type": "integer" + } + }, + "required": ["thinking_tokens"], + "title": "OutputTokensDetails", + "type": "object" + }, "OverloadedError": { "properties": { "message": { "default": "Overloaded", "title": "Message", "type": "string" }, @@ -28399,6 +28496,42 @@ "title": "RequestImageBlock", "type": "object" }, + "RequestMidConvSystemBlock": { + "additionalProperties": false, + "description": "System instructions that appear mid-conversation.\n\nUse this block to provide or update system-level instructions at a specific\npoint in the conversation, rather than only via the top-level `system` parameter.", + "properties": { + "cache_control": { + "anyOf": [ + { + "discriminator": { + "mapping": { "ephemeral": "#/components/schemas/CacheControlEphemeral" }, + "propertyName": "type" + }, + "oneOf": [{ "$ref": "#/components/schemas/CacheControlEphemeral" }] + }, + { "type": "null" } + ], + "description": "Create a cache control breakpoint at this content block.", + "title": "Cache Control" + }, + "content": { + "description": "System instruction text blocks.", + "items": { + "discriminator": { + "mapping": { "text": "#/components/schemas/RequestTextBlock" }, + "propertyName": "type" + }, + "oneOf": [{ "$ref": "#/components/schemas/RequestTextBlock" }] + }, + "title": "Content", + "type": "array" + }, + "type": { "const": "mid_conv_system", "title": "Type", "type": "string" } + }, + "required": ["content", "type"], + "title": "RequestMidConvSystemBlock", + "type": "object" + }, "RequestPageLocationCitation": { "additionalProperties": false, "properties": { @@ -30578,6 +30711,11 @@ "title": "Output Tokens", "type": "integer" }, + "output_tokens_details": { + "anyOf": [{ "$ref": "#/components/schemas/OutputTokensDetails" }, { "type": "null" }], + "default": null, + "description": "Breakdown of output tokens by category.\n\n`output_tokens` remains the inclusive, authoritative total used for billing.\nThis object provides a read-only decomposition for observability — for example,\nhow many of the billed output tokens were spent on internal reasoning that may\nhave been summarized before being returned to you." + }, "server_tool_use": { "anyOf": [{ "$ref": "#/components/schemas/ServerToolUsage" }, { "type": "null" }], "default": null, @@ -30597,6 +30735,7 @@ "inference_geo", "input_tokens", "output_tokens", + "output_tokens_details", "server_tool_use", "service_tier" ], @@ -30641,6 +30780,7 @@ "invalid_tool_input", "url_too_long", "url_not_allowed", + "url_not_in_prior_context", "url_not_accessible", "unsupported_content_type", "too_many_requests", @@ -31351,6 +31491,7 @@ "container_upload": "#/components/schemas/RequestContainerUploadBlock", "document": "#/components/schemas/RequestDocumentBlock", "image": "#/components/schemas/RequestImageBlock", + "mid_conv_system": "#/components/schemas/RequestMidConvSystemBlock", "redacted_thinking": "#/components/schemas/RequestRedactedThinkingBlock", "search_result": "#/components/schemas/RequestSearchResultBlock", "server_tool_use": "#/components/schemas/RequestServerToolUseBlock", @@ -31402,7 +31543,8 @@ { "$ref": "#/components/schemas/RequestBashCodeExecutionToolResultBlock" }, { "$ref": "#/components/schemas/RequestTextEditorCodeExecutionToolResultBlock" }, { "$ref": "#/components/schemas/RequestToolSearchToolResultBlock" }, - { "$ref": "#/components/schemas/RequestContainerUploadBlock" } + { "$ref": "#/components/schemas/RequestContainerUploadBlock" }, + { "$ref": "#/components/schemas/RequestMidConvSystemBlock" } ], "x-stainless-python-extend-union": ["ContentBlock"], "x-stainless-python-extend-union-imports": ["from .content_block import ContentBlock"], @@ -31461,6 +31603,7 @@ "image": "#/components/schemas/BetaRequestImageBlock", "mcp_tool_result": "#/components/schemas/BetaRequestMCPToolResultBlock", "mcp_tool_use": "#/components/schemas/BetaRequestMCPToolUseBlock", + "mid_conv_system": "#/components/schemas/BetaRequestMidConvSystemBlock", "redacted_thinking": "#/components/schemas/BetaRequestRedactedThinkingBlock", "search_result": "#/components/schemas/BetaRequestSearchResultBlock", "server_tool_use": "#/components/schemas/BetaRequestServerToolUseBlock", @@ -31516,7 +31659,8 @@ { "$ref": "#/components/schemas/BetaRequestMCPToolUseBlock" }, { "$ref": "#/components/schemas/BetaRequestMCPToolResultBlock" }, { "$ref": "#/components/schemas/BetaRequestContainerUploadBlock" }, - { "$ref": "#/components/schemas/BetaRequestCompactionBlock" } + { "$ref": "#/components/schemas/BetaRequestCompactionBlock" }, + { "$ref": "#/components/schemas/BetaRequestMidConvSystemBlock" } ], "x-stainless-go-variant-constructor": { "naming": "new_beta_{variant}_block" } }, @@ -31539,9 +31683,14 @@ }, "Model": { "title": "Model", - "description": "The model that will complete your prompt.\\n\\nSee [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.", + "description": "The model that will complete your prompt.\n\nSee [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.", "anyOf": [ { "type": "string" }, + { + "const": "claude-opus-4-8", + "description": "Frontier intelligence for long-running agents and coding", + "x-stainless-nominal": false + }, { "const": "claude-opus-4-7", "description": "Frontier intelligence for long-running agents and coding", @@ -31641,9 +31790,14 @@ }, "BetaManagedAgentsModel": { "title": "BetaManagedAgentsModel", - "description": "The model that will power your agent.\\n\\nSee [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.", + "description": "The model that will power your agent.\n\nSee [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.", "anyOf": [ { "type": "string" }, + { + "const": "claude-opus-4-8", + "description": "Frontier intelligence for long-running agents and coding", + "x-stainless-nominal": false + }, { "const": "claude-opus-4-7", "description": "Frontier intelligence for long-running agents and coding",