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The openinference-semantic-conventions package provides Java constants for OpenInference semantic conventions, enabling consistent instrumentation across AI/ML applications.

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Installation

implementation 'com.arize:openinference-semantic-conventions:0.1.1'

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Package Structure

All semantic conventions are defined in the com.arize.semconv.trace.SemanticConventions class.

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Span Kinds

OpenInference defines specialized span kinds for AI operations: 
import com.arize.semconv.trace.SemanticConventions;
import com.arize.semconv.trace.SemanticConventions.OpenInferenceSpanKind;

// Available span kinds
OpenInferenceSpanKind.LLM          // Large Language Model operations
OpenInferenceSpanKind.CHAIN        // Chain of operations
OpenInferenceSpanKind.TOOL         // Tool execution
OpenInferenceSpanKind.RETRIEVER    // Document retrieval
OpenInferenceSpanKind.RERANKER     // Document reranking
OpenInferenceSpanKind.EMBEDDING    // Embedding generation
OpenInferenceSpanKind.AGENT        // Agent operations
OpenInferenceSpanKind.GUARDRAIL    // Safety guardrails
OpenInferenceSpanKind.EVALUATOR    // Evaluation operations

// Set span kind attribute
span.setAttribute(
    SemanticConventions.OPENINFERENCE_SPAN_KIND,
    OpenInferenceSpanKind.LLM.getValue()
);

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LLM Attributes

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Basic LLM Attributes

import com.arize.semconv.trace.SemanticConventions;

// Model information
span.setAttribute(SemanticConventions.LLM_MODEL_NAME, "gpt-4");
span.setAttribute(SemanticConventions.LLM_PROVIDER, "openai");
span.setAttribute(SemanticConventions.LLM_SYSTEM, "openai");

// Input/Output messages
span.setAttribute(SemanticConventions.LLM_INPUT_MESSAGES, messagesJson);
span.setAttribute(SemanticConventions.LLM_OUTPUT_MESSAGES, responseJson);

// Prompts (legacy completions)
span.setAttribute(SemanticConventions.LLM_PROMPTS, promptsJson);

// Invocation parameters
span.setAttribute(SemanticConventions.LLM_INVOCATION_PARAMETERS, paramsJson);

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Token Counts

// Basic token counts
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_PROMPT, 150L);
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_COMPLETION, 75L);
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_TOTAL, 225L);

// Prompt details
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_WRITE, 20L);
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_PROMPT_DETAILS_CACHE_READ, 10L);
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_PROMPT_DETAILS_AUDIO, 5L);

// Completion details
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_COMPLETION_DETAILS_REASONING, 50L);
span.setAttribute(SemanticConventions.LLM_TOKEN_COUNT_COMPLETION_DETAILS_AUDIO, 10L);

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Cost Tracking

// Basic costs (in USD)
span.setAttribute(SemanticConventions.LLM_COST_PROMPT, 0.0021);
span.setAttribute(SemanticConventions.LLM_COST_COMPLETION, 0.0045);
span.setAttribute(SemanticConventions.LLM_COST_TOTAL, 0.0066);

// Detailed costs
span.setAttribute(SemanticConventions.LLM_COST_INPUT, 0.0003);
span.setAttribute(SemanticConventions.LLM_COST_OUTPUT, 0.0009);
span.setAttribute(SemanticConventions.LLM_COST_COMPLETION_DETAILS_REASONING, 0.0024);
span.setAttribute(SemanticConventions.LLM_COST_PROMPT_DETAILS_CACHE_WRITE, 0.0006);

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Message Attributes

// Message structure
span.setAttribute(SemanticConventions.MESSAGE_ROLE, "user");
span.setAttribute(SemanticConventions.MESSAGE_CONTENT, "What is the capital of France?");
span.setAttribute(SemanticConventions.MESSAGE_NAME, "function_name");

// Message contents (multimodal)
span.setAttribute(SemanticConventions.MESSAGE_CONTENTS, contentsJson);
span.setAttribute(SemanticConventions.MESSAGE_CONTENT_TYPE, "text");
span.setAttribute(SemanticConventions.MESSAGE_CONTENT_TEXT, "Hello");
span.setAttribute(SemanticConventions.MESSAGE_CONTENT_IMAGE, imageDataJson);

// Tool calls
span.setAttribute(SemanticConventions.MESSAGE_TOOL_CALLS, toolCallsJson);
span.setAttribute(SemanticConventions.MESSAGE_TOOL_CALL_ID, "call_123");
span.setAttribute(SemanticConventions.MESSAGE_FUNCTION_CALL_NAME, "get_weather");
span.setAttribute(SemanticConventions.MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON, argsJson);

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Tool Call Attributes

// Tool call details
span.setAttribute(SemanticConventions.TOOL_CALL_ID, "call_123");
span.setAttribute(SemanticConventions.TOOL_CALL_FUNCTION_NAME, "get_weather");
span.setAttribute(SemanticConventions.TOOL_CALL_FUNCTION_ARGUMENTS_JSON, "{\"location\": \"Paris\"}");

// Tool definitions
span.setAttribute(SemanticConventions.TOOL_NAME, "get_weather");
span.setAttribute(SemanticConventions.TOOL_DESCRIPTION, "Get current weather");
span.setAttribute(SemanticConventions.TOOL_PARAMETERS, parametersJson);
span.setAttribute(SemanticConventions.TOOL_JSON_SCHEMA, schemaJson);
span.setAttribute(SemanticConventions.LLM_TOOLS, toolsJson);

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Retrieval Attributes

// Retrieved documents
span.setAttribute(SemanticConventions.RETRIEVAL_DOCUMENTS, documentsJson);

// Document attributes
span.setAttribute(SemanticConventions.DOCUMENT_ID, "doc_123");
span.setAttribute(SemanticConventions.DOCUMENT_CONTENT, "Document text...");
span.setAttribute(SemanticConventions.DOCUMENT_SCORE, 0.95);
span.setAttribute(SemanticConventions.DOCUMENT_METADATA, metadataJson);

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Reranker Attributes

// Reranker operation
span.setAttribute(SemanticConventions.RERANKER_INPUT_DOCUMENTS, inputDocsJson);
span.setAttribute(SemanticConventions.RERANKER_OUTPUT_DOCUMENTS, outputDocsJson);
span.setAttribute(SemanticConventions.RERANKER_QUERY, "search query");
span.setAttribute(SemanticConventions.RERANKER_MODEL_NAME, "reranker-v1");
span.setAttribute(SemanticConventions.RERANKER_TOP_K, 10);

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Embedding Attributes

// Embedding generation
span.setAttribute(SemanticConventions.EMBEDDING_TEXT, "Text to embed");
span.setAttribute(SemanticConventions.EMBEDDING_MODEL_NAME, "text-embedding-ada-002");
span.setAttribute(SemanticConventions.EMBEDDING_VECTOR, vectorJson);
span.setAttribute(SemanticConventions.EMBEDDING_EMBEDDINGS, embeddingsJson);

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Input/Output Attributes

// Generic input/output
span.setAttribute(SemanticConventions.INPUT_VALUE, inputJson);
span.setAttribute(SemanticConventions.INPUT_MIME_TYPE, "application/json");
span.setAttribute(SemanticConventions.OUTPUT_VALUE, outputJson);
span.setAttribute(SemanticConventions.OUTPUT_MIME_TYPE, "application/json");

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Session and User Tracking

// Session tracking
span.setAttribute(SemanticConventions.SESSION_ID, "session_123");

// User tracking
span.setAttribute(SemanticConventions.USER_ID, "user_456");

// Tags
span.setAttribute(SemanticConventions.TAG_TAGS, tagsJson);

// Metadata
span.setAttribute(SemanticConventions.METADATA, metadataJson);

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Prompt Template Attributes

// Prompt template
span.setAttribute(SemanticConventions.PROMPT_TEMPLATE_TEMPLATE, "Hello {name}!");
span.setAttribute(SemanticConventions.PROMPT_TEMPLATE_VARIABLES, variablesJson);
span.setAttribute(SemanticConventions.PROMPT_TEMPLATE_VERSION, "v1.0");

// Prompt metadata
span.setAttribute(SemanticConventions.PROMPT_VENDOR, "langchain");
span.setAttribute(SemanticConventions.PROMPT_ID, "prompt_123");
span.setAttribute(SemanticConventions.PROMPT_URL, "https://example.com/prompts/123");

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Multimodal Attributes

// Image attributes
span.setAttribute(SemanticConventions.IMAGE_URL, "https://example.com/image.jpg");

// Audio attributes
span.setAttribute(SemanticConventions.AUDIO_URL, "https://example.com/audio.wav");
span.setAttribute(SemanticConventions.AUDIO_MIME_TYPE, "audio/wav");
span.setAttribute(SemanticConventions.AUDIO_TRANSCRIPT, "Transcribed text...");

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Agent and Graph Attributes

// Agent attributes
span.setAttribute(SemanticConventions.AGENT_NAME, "my-agent");

// Graph structure
span.setAttribute(SemanticConventions.GRAPH_NODE_ID, "node_1");
span.setAttribute(SemanticConventions.GRAPH_NODE_NAME, "Decision Node");
span.setAttribute(SemanticConventions.GRAPH_NODE_PARENT_ID, "node_0");

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Enums

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LLMSystem

import com.arize.semconv.trace.SemanticConventions.LLMSystem;

LLMSystem.OPENAI      // "openai"
LLMSystem.ANTHROPIC   // "anthropic"
LLMSystem.MISTRALAI   // "mistralai"
LLMSystem.COHERE      // "cohere"
LLMSystem.VERTEXAI    // "vertexai"

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LLMProvider

import com.arize.semconv.trace.SemanticConventions.LLMProvider;

LLMProvider.OPENAI     // "openai"
LLMProvider.ANTHROPIC  // "anthropic"
LLMProvider.MISTRALAI  // "mistralai"
LLMProvider.COHERE     // "cohere"
LLMProvider.GOOGLE     // "google"
LLMProvider.AWS        // "aws"
LLMProvider.AZURE      // "azure"
LLMProvider.XAI        // "xai"
LLMProvider.DEEPSEEK   // "deepseek"

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MimeType

import com.arize.semconv.trace.SemanticConventions.MimeType;

MimeType.TEXT       // "text/plain"
MimeType.JSON       // "application/json"
MimeType.AUDIO_WAV  // "audio/wav"

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Class Reference

Main Class: com.arize.semconv.trace.SemanticConventions Related Classes:
  • com.arize.semconv.trace.SemanticResourceAttributes

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Next Steps