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vllm.tracing.utils

LoadingSpanAttributes

Custom attributes for code-level tracing (file, line number).

Source code in vllm/tracing/utils.py 
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class LoadingSpanAttributes:
    """Custom attributes for code-level tracing (file, line number)."""

    CODE_NAMESPACE = "code.namespace"
    CODE_FUNCTION = "code.function"
    CODE_FILEPATH = "code.filepath"
    CODE_LINENO = "code.lineno"

SpanAttributes

Standard attributes for spans.

These are largely based on OpenTelemetry Semantic Conventions but are defined here as constants so they can be used by any backend or logger.

Source code in vllm/tracing/utils.py 
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class SpanAttributes:
    """
    Standard attributes for spans.

    These are largely based on OpenTelemetry Semantic Conventions but are defined
    here as constants so they can be used by any backend or logger.
    """

    # Attribute names copied from OTel semantic conventions to avoid version conflicts
    GEN_AI_USAGE_COMPLETION_TOKENS = "gen_ai.usage.completion_tokens"
    GEN_AI_USAGE_PROMPT_TOKENS = "gen_ai.usage.prompt_tokens"
    GEN_AI_REQUEST_MAX_TOKENS = "gen_ai.request.max_tokens"
    GEN_AI_REQUEST_TOP_P = "gen_ai.request.top_p"
    GEN_AI_REQUEST_TEMPERATURE = "gen_ai.request.temperature"
    GEN_AI_RESPONSE_MODEL = "gen_ai.response.model"

    # Custom attributes added until they are standardized
    GEN_AI_REQUEST_ID = "gen_ai.request.id"
    GEN_AI_REQUEST_N = "gen_ai.request.n"
    GEN_AI_USAGE_NUM_SEQUENCES = "gen_ai.usage.num_sequences"
    GEN_AI_LATENCY_TIME_IN_QUEUE = "gen_ai.latency.time_in_queue"
    GEN_AI_LATENCY_TIME_TO_FIRST_TOKEN = "gen_ai.latency.time_to_first_token"
    GEN_AI_LATENCY_E2E = "gen_ai.latency.e2e"
    GEN_AI_LATENCY_TIME_IN_SCHEDULER = "gen_ai.latency.time_in_scheduler"

    # Latency breakdowns
    GEN_AI_LATENCY_TIME_IN_MODEL_FORWARD = "gen_ai.latency.time_in_model_forward"
    GEN_AI_LATENCY_TIME_IN_MODEL_EXECUTE = "gen_ai.latency.time_in_model_execute"
    GEN_AI_LATENCY_TIME_IN_MODEL_PREFILL = "gen_ai.latency.time_in_model_prefill"
    GEN_AI_LATENCY_TIME_IN_MODEL_DECODE = "gen_ai.latency.time_in_model_decode"
    GEN_AI_LATENCY_TIME_IN_MODEL_INFERENCE = "gen_ai.latency.time_in_model_inference"

contains_trace_headers 

contains_trace_headers(headers: Mapping[str, str]) -> bool

Check if the provided headers dictionary contains trace context.

Source code in vllm/tracing/utils.py 
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def contains_trace_headers(headers: Mapping[str, str]) -> bool:
    """Check if the provided headers dictionary contains trace context."""
    return any(h in headers for h in TRACE_HEADERS)

extract_trace_headers 

extract_trace_headers(
    headers: Mapping[str, str],
) -> Mapping[str, str]

Extract only trace-related headers from a larger header dictionary. Useful for logging or passing context to a non-OTel client.

Source code in vllm/tracing/utils.py 
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def extract_trace_headers(headers: Mapping[str, str]) -> Mapping[str, str]:
    """
    Extract only trace-related headers from a larger header dictionary.
    Useful for logging or passing context to a non-OTel client.
    """
    return {h: headers[h] for h in TRACE_HEADERS if h in headers}