Vestigio

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Thin OTEL wrapper for agent/LLM observability.

From Latin vestigium — "trace, footprint." Vestigio provides agent-native instrumentation using OpenInference and OTel GenAI semantic conventions.

Features

• Three span types: agent_span(), llm_span(), tool_span() — context managers with proper semantic attributes
• Dual conventions: Sets both OpenInference and OTel GenAI attributes for maximum backend compatibility
• Error recording: set_span_error() / set_span_ok() for status mapping and exception tracking
• Session tracking: session_id, user_id, and arbitrary metadata on agent spans
• Zero overhead when disabled: No-op stubs when OTEL SDK is not installed or telemetry is off
• No required dependencies: OTEL is optional (pip install vestigio[otel])

Install

pip install vestigio           # core only, spans are silent stubs
pip install vestigio[otel]     # + OTEL SDK, enables real tracing
pip install vestigio[otlp]     # + OTLP exporter for Jaeger, Tempo, etc.

Quick Start

from vestigio import (
    init_telemetry,
    agent_span,
    llm_span,
    tool_span,
    set_span_error,
    set_span_ok,
)
from vestigio._spans import set_llm_usage, set_agent_output

tracer = init_telemetry()

with agent_span(
    tracer,
    task="what's the weather?",
    model="gpt-4",
    session_id="sess-001",
    user_id="user-42",
    metadata={"source": "cli"},
) as root:
    with llm_span(tracer, model="gpt-4", provider="openai") as llm:
        response = call_llm(...)
        set_llm_usage(llm, {"prompt_tokens": 100, "completion_tokens": 50, "total_tokens": 150})

    with tool_span(tracer, tool_name="get_weather") as tool:
        try:
            result = call_tool(...)
            set_span_ok(tool)
        except Exception as e:
            set_span_error(tool, e)

    set_agent_output(root, "The weather is sunny.")
    set_span_ok(root)

Configuration

Custom env var prefix for downstream consumers:

from vestigio import VestigioConfig, init_telemetry

config = VestigioConfig.from_env(prefix="TALPA_OTEL")
tracer = init_telemetry(config=config)

Compatible Backends

Any OTLP-compatible backend: Jaeger, Grafana Tempo, Arize Phoenix, Honeycomb, Datadog, etc.

License

MIT