@arizeai/openinference-semantic-conventions - npm Package Compare versions

Comparing version 1.0.0 to 1.0.1

dist/esm/trace/SemanticConventions.d.ts

@@ -24,2 +24,3 @@ /**
     readonly audio: "audio";
+    readonly prompt: "prompt";
 };
@@ -108,2 +109,7 @@ export declare const LLMAttributePostfixes: {
 };
+export declare const PromptAttributePostfixes: {
+    readonly vendor: "vendor";
+    readonly id: "id";
+    readonly url: "url";
+};
 /**
@@ -155,4 +161,10 @@ * The input to any span
 export declare const LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+/** Token count for the reasoning steps in the completion */
+export declare const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
 /** Token count for the prompt to the llm */
 export declare const LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+/** Token count for the tokens written to the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+/** Token count for the tokens retrieved from the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
 /** Token count for the entire transaction with the llm */
@@ -333,2 +345,14 @@ export declare const LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
 export declare const AUDIO_TRANSCRIPT: "audio.transcript";
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export declare const PROMPT_VENDOR: "prompt.vendor";
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export declare const PROMPT_ID: "prompt.id";
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export declare const PROMPT_URL: "prompt.url";
 export declare const SemanticConventions: {
@@ -346,3 +370,6 @@ readonly IMAGE_URL: "image.url";
     readonly LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+    readonly LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
     readonly LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
     readonly LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
@@ -393,2 +420,5 @@ readonly LLM_SYSTEM: "llm.system";
     readonly OPENINFERENCE_SPAN_KIND: "openinference.span.kind";
+    readonly PROMPT_VENDOR: "prompt.vendor";
+    readonly PROMPT_ID: "prompt.id";
+    readonly PROMPT_URL: "prompt.url";
 };
@@ -395,0 +425,0 @@ export declare enum OpenInferenceSpanKind {

dist/esm/trace/SemanticConventions.js

@@ -24,2 +24,3 @@ /**
     audio: "audio",
+    prompt: "prompt",
 };
@@ -108,2 +109,7 @@ export const LLMAttributePostfixes = {
 };
+export const PromptAttributePostfixes = {
+    vendor: "vendor",
+    id: "id",
+    url: "url",
+};
 /**
@@ -155,4 +161,10 @@ * The input to any span
 export const LLM_TOKEN_COUNT_COMPLETION = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.completion`;
+/** Token count for the reasoning steps in the completion */
+export const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.completion_details.reasoning`;
 /** Token count for the prompt to the llm */
 export const LLM_TOKEN_COUNT_PROMPT = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt`;
+/** Token count for the tokens written to the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_write`;
+/** Token count for the tokens retrieved from the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_read`;
 /** Token count for the entire transaction with the llm */
@@ -334,2 +346,14 @@ export const LLM_TOKEN_COUNT_TOTAL = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.total`;
 export const AUDIO_TRANSCRIPT = `${SemanticAttributePrefixes.audio}.${AudioAttributesPostfixes.transcript}`;
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export const PROMPT_VENDOR = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.vendor}`;
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export const PROMPT_ID = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.id}`;
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export const PROMPT_URL = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.url}`;
 export const SemanticConventions = {
@@ -347,3 +371,6 @@ IMAGE_URL,
     LLM_TOKEN_COUNT_COMPLETION,
+    LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING,
     LLM_TOKEN_COUNT_PROMPT,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ,
     LLM_TOKEN_COUNT_TOTAL,
@@ -394,2 +421,5 @@ LLM_SYSTEM,
     OPENINFERENCE_SPAN_KIND: `${SemanticAttributePrefixes.openinference}.span.kind`,
+    PROMPT_VENDOR,
+    PROMPT_ID,
+    PROMPT_URL,
 };
@@ -396,0 +426,0 @@ export var OpenInferenceSpanKind;

dist/esnext/trace/SemanticConventions.d.ts

@@ -24,2 +24,3 @@ /**
     readonly audio: "audio";
+    readonly prompt: "prompt";
 };
@@ -108,2 +109,7 @@ export declare const LLMAttributePostfixes: {
 };
+export declare const PromptAttributePostfixes: {
+    readonly vendor: "vendor";
+    readonly id: "id";
+    readonly url: "url";
+};
 /**
@@ -155,4 +161,10 @@ * The input to any span
 export declare const LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+/** Token count for the reasoning steps in the completion */
+export declare const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
 /** Token count for the prompt to the llm */
 export declare const LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+/** Token count for the tokens written to the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+/** Token count for the tokens retrieved from the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
 /** Token count for the entire transaction with the llm */
@@ -333,2 +345,14 @@ export declare const LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
 export declare const AUDIO_TRANSCRIPT: "audio.transcript";
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export declare const PROMPT_VENDOR: "prompt.vendor";
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export declare const PROMPT_ID: "prompt.id";
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export declare const PROMPT_URL: "prompt.url";
 export declare const SemanticConventions: {
@@ -346,3 +370,6 @@ readonly IMAGE_URL: "image.url";
     readonly LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+    readonly LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
     readonly LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
     readonly LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
@@ -393,2 +420,5 @@ readonly LLM_SYSTEM: "llm.system";
     readonly OPENINFERENCE_SPAN_KIND: "openinference.span.kind";
+    readonly PROMPT_VENDOR: "prompt.vendor";
+    readonly PROMPT_ID: "prompt.id";
+    readonly PROMPT_URL: "prompt.url";
 };
@@ -395,0 +425,0 @@ export declare enum OpenInferenceSpanKind {

dist/esnext/trace/SemanticConventions.js

@@ -24,2 +24,3 @@ /**
     audio: "audio",
+    prompt: "prompt",
 };
@@ -108,2 +109,7 @@ export const LLMAttributePostfixes = {
 };
+export const PromptAttributePostfixes = {
+    vendor: "vendor",
+    id: "id",
+    url: "url",
+};
 /**
@@ -155,4 +161,10 @@ * The input to any span
 export const LLM_TOKEN_COUNT_COMPLETION = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.completion`;
+/** Token count for the reasoning steps in the completion */
+export const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.completion_details.reasoning`;
 /** Token count for the prompt to the llm */
 export const LLM_TOKEN_COUNT_PROMPT = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt`;
+/** Token count for the tokens written to the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_write`;
+/** Token count for the tokens retrieved from the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_read`;
 /** Token count for the entire transaction with the llm */
@@ -334,2 +346,14 @@ export const LLM_TOKEN_COUNT_TOTAL = `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.total`;
 export const AUDIO_TRANSCRIPT = `${SemanticAttributePrefixes.audio}.${AudioAttributesPostfixes.transcript}`;
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export const PROMPT_VENDOR = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.vendor}`;
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export const PROMPT_ID = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.id}`;
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export const PROMPT_URL = `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.url}`;
 export const SemanticConventions = {
@@ -347,3 +371,6 @@ IMAGE_URL,
     LLM_TOKEN_COUNT_COMPLETION,
+    LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING,
     LLM_TOKEN_COUNT_PROMPT,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ,
     LLM_TOKEN_COUNT_TOTAL,
@@ -394,2 +421,5 @@ LLM_SYSTEM,
     OPENINFERENCE_SPAN_KIND: `${SemanticAttributePrefixes.openinference}.span.kind`,
+    PROMPT_VENDOR,
+    PROMPT_ID,
+    PROMPT_URL,
 };
@@ -396,0 +426,0 @@ export var OpenInferenceSpanKind;

dist/src/trace/SemanticConventions.d.ts

@@ -24,2 +24,3 @@ /**
     readonly audio: "audio";
+    readonly prompt: "prompt";
 };
@@ -108,2 +109,7 @@ export declare const LLMAttributePostfixes: {
 };
+export declare const PromptAttributePostfixes: {
+    readonly vendor: "vendor";
+    readonly id: "id";
+    readonly url: "url";
+};
 /**
@@ -155,4 +161,10 @@ * The input to any span
 export declare const LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+/** Token count for the reasoning steps in the completion */
+export declare const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
 /** Token count for the prompt to the llm */
 export declare const LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+/** Token count for the tokens written to the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+/** Token count for the tokens retrieved from the cache */
+export declare const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
 /** Token count for the entire transaction with the llm */
@@ -333,2 +345,14 @@ export declare const LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
 export declare const AUDIO_TRANSCRIPT: "audio.transcript";
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export declare const PROMPT_VENDOR: "prompt.vendor";
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export declare const PROMPT_ID: "prompt.id";
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export declare const PROMPT_URL: "prompt.url";
 export declare const SemanticConventions: {
@@ -346,3 +370,6 @@ readonly IMAGE_URL: "image.url";
     readonly LLM_TOKEN_COUNT_COMPLETION: "llm.token_count.completion";
+    readonly LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: "llm.token_count.completion_details.reasoning";
     readonly LLM_TOKEN_COUNT_PROMPT: "llm.token_count.prompt";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: "llm.token_count.prompt_details.cache_write";
+    readonly LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: "llm.token_count.prompt_details.cache_read";
     readonly LLM_TOKEN_COUNT_TOTAL: "llm.token_count.total";
@@ -393,2 +420,5 @@ readonly LLM_SYSTEM: "llm.system";
     readonly OPENINFERENCE_SPAN_KIND: "openinference.span.kind";
+    readonly PROMPT_VENDOR: "prompt.vendor";
+    readonly PROMPT_ID: "prompt.id";
+    readonly PROMPT_URL: "prompt.url";
 };
@@ -395,0 +425,0 @@ export declare enum OpenInferenceSpanKind {

dist/src/trace/SemanticConventions.js

@@ -6,4 +6,4 @@ "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.EMBEDDING_TEXT = exports.DOCUMENT_METADATA = exports.DOCUMENT_SCORE = exports.DOCUMENT_CONTENT = exports.DOCUMENT_ID = exports.IMAGE_URL = exports.MESSAGE_CONTENT_IMAGE = exports.MESSAGE_CONTENT_TEXT = exports.MESSAGE_CONTENT_TYPE = exports.MESSAGE_CONTENTS = exports.MESSAGE_CONTENT = exports.MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON = exports.MESSAGE_FUNCTION_CALL_NAME = exports.TOOL_CALL_ID = exports.TOOL_CALL_FUNCTION_ARGUMENTS_JSON = exports.TOOL_CALL_FUNCTION_NAME = exports.MESSAGE_TOOL_CALL_ID = exports.MESSAGE_TOOL_CALLS = exports.MESSAGE_NAME = exports.MESSAGE_ROLE = exports.LLM_TOKEN_COUNT_TOTAL = exports.LLM_TOKEN_COUNT_PROMPT = exports.LLM_TOKEN_COUNT_COMPLETION = exports.LLM_SYSTEM = exports.LLM_PROVIDER = exports.LLM_MODEL_NAME = exports.LLM_OUTPUT_MESSAGES = exports.LLM_INVOCATION_PARAMETERS = exports.LLM_PROMPTS = exports.LLM_INPUT_MESSAGES = exports.OUTPUT_MIME_TYPE = exports.OUTPUT_VALUE = exports.INPUT_MIME_TYPE = exports.INPUT_VALUE = exports.AudioAttributesPostfixes = exports.UserAttributePostfixes = exports.SessionAttributePostfixes = exports.TagAttributePostfixes = exports.DocumentAttributePostfixes = exports.ToolCallAttributePostfixes = exports.ImageAttributesPostfixes = exports.MessageContentsAttributePostfixes = exports.MessageAttributePostfixes = exports.ToolAttributePostfixes = exports.EmbeddingAttributePostfixes = exports.RerankerAttributePostfixes = exports.RetrievalAttributePostfixes = exports.LLMPromptTemplateAttributePostfixes = exports.LLMAttributePostfixes = exports.SemanticAttributePrefixes = void 0;
-exports.LLMProvider = exports.LLMSystem = exports.MimeType = exports.OpenInferenceSpanKind = exports.SemanticConventions = exports.AUDIO_TRANSCRIPT = exports.AUDIO_MIME_TYPE = exports.AUDIO_URL = exports.TAG_TAGS = exports.PROMPT_TEMPLATE_VERSION = exports.METADATA = exports.RERANKER_TOP_K = exports.RERANKER_MODEL_NAME = exports.RERANKER_QUERY = exports.RERANKER_OUTPUT_DOCUMENTS = exports.RERANKER_INPUT_DOCUMENTS = exports.USER_ID = exports.SESSION_ID = exports.TOOL_JSON_SCHEMA = exports.TOOL_PARAMETERS = exports.TOOL_DESCRIPTION = exports.TOOL_NAME = exports.LLM_TOOLS = exports.LLM_FUNCTION_CALL = exports.PROMPT_TEMPLATE_TEMPLATE = exports.PROMPT_TEMPLATE_VARIABLES = exports.RETRIEVAL_DOCUMENTS = exports.EMBEDDING_EMBEDDINGS = exports.EMBEDDING_VECTOR = exports.EMBEDDING_MODEL_NAME = void 0;
+exports.DOCUMENT_ID = exports.IMAGE_URL = exports.MESSAGE_CONTENT_IMAGE = exports.MESSAGE_CONTENT_TEXT = exports.MESSAGE_CONTENT_TYPE = exports.MESSAGE_CONTENTS = exports.MESSAGE_CONTENT = exports.MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON = exports.MESSAGE_FUNCTION_CALL_NAME = exports.TOOL_CALL_ID = exports.TOOL_CALL_FUNCTION_ARGUMENTS_JSON = exports.TOOL_CALL_FUNCTION_NAME = exports.MESSAGE_TOOL_CALL_ID = exports.MESSAGE_TOOL_CALLS = exports.MESSAGE_NAME = exports.MESSAGE_ROLE = exports.LLM_TOKEN_COUNT_TOTAL = exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ = exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE = exports.LLM_TOKEN_COUNT_PROMPT = exports.LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING = exports.LLM_TOKEN_COUNT_COMPLETION = exports.LLM_SYSTEM = exports.LLM_PROVIDER = exports.LLM_MODEL_NAME = exports.LLM_OUTPUT_MESSAGES = exports.LLM_INVOCATION_PARAMETERS = exports.LLM_PROMPTS = exports.LLM_INPUT_MESSAGES = exports.OUTPUT_MIME_TYPE = exports.OUTPUT_VALUE = exports.INPUT_MIME_TYPE = exports.INPUT_VALUE = exports.PromptAttributePostfixes = exports.AudioAttributesPostfixes = exports.UserAttributePostfixes = exports.SessionAttributePostfixes = exports.TagAttributePostfixes = exports.DocumentAttributePostfixes = exports.ToolCallAttributePostfixes = exports.ImageAttributesPostfixes = exports.MessageContentsAttributePostfixes = exports.MessageAttributePostfixes = exports.ToolAttributePostfixes = exports.EmbeddingAttributePostfixes = exports.RerankerAttributePostfixes = exports.RetrievalAttributePostfixes = exports.LLMPromptTemplateAttributePostfixes = exports.LLMAttributePostfixes = exports.SemanticAttributePrefixes = void 0;
+exports.LLMProvider = exports.LLMSystem = exports.MimeType = exports.OpenInferenceSpanKind = exports.SemanticConventions = exports.PROMPT_URL = exports.PROMPT_ID = exports.PROMPT_VENDOR = exports.AUDIO_TRANSCRIPT = exports.AUDIO_MIME_TYPE = exports.AUDIO_URL = exports.TAG_TAGS = exports.PROMPT_TEMPLATE_VERSION = exports.METADATA = exports.RERANKER_TOP_K = exports.RERANKER_MODEL_NAME = exports.RERANKER_QUERY = exports.RERANKER_OUTPUT_DOCUMENTS = exports.RERANKER_INPUT_DOCUMENTS = exports.USER_ID = exports.SESSION_ID = exports.TOOL_JSON_SCHEMA = exports.TOOL_PARAMETERS = exports.TOOL_DESCRIPTION = exports.TOOL_NAME = exports.LLM_TOOLS = exports.LLM_FUNCTION_CALL = exports.PROMPT_TEMPLATE_TEMPLATE = exports.PROMPT_TEMPLATE_VARIABLES = exports.RETRIEVAL_DOCUMENTS = exports.EMBEDDING_EMBEDDINGS = exports.EMBEDDING_VECTOR = exports.EMBEDDING_MODEL_NAME = exports.EMBEDDING_TEXT = exports.DOCUMENT_METADATA = exports.DOCUMENT_SCORE = exports.DOCUMENT_CONTENT = void 0;
 exports.SemanticAttributePrefixes = {
@@ -29,2 +29,3 @@ input: "input",
     audio: "audio",
+    prompt: "prompt",
 };
@@ -113,2 +114,7 @@ exports.LLMAttributePostfixes = {
 };
+exports.PromptAttributePostfixes = {
+    vendor: "vendor",
+    id: "id",
+    url: "url",
+};
 /**
@@ -160,4 +166,10 @@ * The input to any span
 exports.LLM_TOKEN_COUNT_COMPLETION = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.completion`;
+/** Token count for the reasoning steps in the completion */
+exports.LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.completion_details.reasoning`;
 /** Token count for the prompt to the llm */
 exports.LLM_TOKEN_COUNT_PROMPT = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.prompt`;
+/** Token count for the tokens written to the cache */
+exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.prompt_details.cache_write`;
+/** Token count for the tokens retrieved from the cache */
+exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.prompt_details.cache_read`;
 /** Token count for the entire transaction with the llm */
@@ -339,2 +351,14 @@ exports.LLM_TOKEN_COUNT_TOTAL = `${exports.SemanticAttributePrefixes.llm}.${exports.LLMAttributePostfixes.token_count}.total`;
 exports.AUDIO_TRANSCRIPT = `${exports.SemanticAttributePrefixes.audio}.${exports.AudioAttributesPostfixes.transcript}`;
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+exports.PROMPT_VENDOR = `${exports.SemanticAttributePrefixes.prompt}.${exports.PromptAttributePostfixes.vendor}`;
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+exports.PROMPT_ID = `${exports.SemanticAttributePrefixes.prompt}.${exports.PromptAttributePostfixes.id}`;
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+exports.PROMPT_URL = `${exports.SemanticAttributePrefixes.prompt}.${exports.PromptAttributePostfixes.url}`;
 exports.SemanticConventions = {
@@ -352,3 +376,6 @@ IMAGE_URL: exports.IMAGE_URL,
     LLM_TOKEN_COUNT_COMPLETION: exports.LLM_TOKEN_COUNT_COMPLETION,
+    LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING: exports.LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING,
     LLM_TOKEN_COUNT_PROMPT: exports.LLM_TOKEN_COUNT_PROMPT,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE: exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE,
+    LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ: exports.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ,
     LLM_TOKEN_COUNT_TOTAL: exports.LLM_TOKEN_COUNT_TOTAL,
@@ -399,2 +426,5 @@ LLM_SYSTEM: exports.LLM_SYSTEM,
     OPENINFERENCE_SPAN_KIND: `${exports.SemanticAttributePrefixes.openinference}.span.kind`,
+    PROMPT_VENDOR: exports.PROMPT_VENDOR,
+    PROMPT_ID: exports.PROMPT_ID,
+    PROMPT_URL: exports.PROMPT_URL,
 };
@@ -401,0 +431,0 @@ var OpenInferenceSpanKind;

package.json

 {
   "name": "@arizeai/openinference-semantic-conventions",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "private": false,
@@ -5,0 +5,0 @@ "main": "dist/src/index.js",

src/trace/SemanticConventions.ts

@@ -25,2 +25,3 @@ /**
   audio: "audio",
+  prompt: "prompt",
 } as const;
@@ -125,2 +126,8 @@
 
+export const PromptAttributePostfixes = {
+  vendor: "vendor",
+  id: "id",
+  url: "url",
+} as const;
+
 /**
@@ -191,2 +198,6 @@ * The input to any span
 
+/** Token count for the reasoning steps in the completion */
+export const LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING =
+  `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.completion_details.reasoning` as const;
+
 /** Token count for the prompt to the llm */
@@ -196,2 +207,10 @@ export const LLM_TOKEN_COUNT_PROMPT =
 
+/** Token count for the tokens written to the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE =
+  `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_write` as const;
+
+/** Token count for the tokens retrieved from the cache */
+export const LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ =
+  `${SemanticAttributePrefixes.llm}.${LLMAttributePostfixes.token_count}.prompt_details.cache_read` as const;
+
 /** Token count for the entire transaction with the llm */
@@ -459,2 +478,20 @@ export const LLM_TOKEN_COUNT_TOTAL =
 
+/**
+ * The vendor or origin of the prompt, e.g. a prompt library, a specialized service, etc.
+ */
+export const PROMPT_VENDOR =
+  `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.vendor}` as const;
+
+/**
+ * A vendor-specific id used to locate the prompt
+ */
+export const PROMPT_ID =
+  `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.id}` as const;
+
+/**
+ * A vendor-specific URL used to locate the prompt
+ */
+export const PROMPT_URL =
+  `${SemanticAttributePrefixes.prompt}.${PromptAttributePostfixes.url}` as const;
+
 export const SemanticConventions = {
@@ -472,3 +509,6 @@ IMAGE_URL,
   LLM_TOKEN_COUNT_COMPLETION,
+  LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING,
   LLM_TOKEN_COUNT_PROMPT,
+  LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE,
+  LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ,
   LLM_TOKEN_COUNT_TOTAL,
@@ -519,2 +559,5 @@ LLM_SYSTEM,
   OPENINFERENCE_SPAN_KIND: `${SemanticAttributePrefixes.openinference}.span.kind`,
+  PROMPT_VENDOR,
+  PROMPT_ID,
+  PROMPT_URL,
 } as const;
@@ -521,0 +564,0 @@

No alert changes

Improved metrics

Total package byte prevSize

226240

6.71%

Lines of code

3379

6.9%

No dependency changes