devtrust-agtrace 0.0.2

Agent-aware tracing: spans, events, and tool calls for LLM-driven workflows.

Agent Trace SDK (agtrace)

Agent-aware tracing. Spans, events, and tool calls for LLM-driven workflows.

Why

Generic OpenTelemetry models web servers and database calls. AI agents need a different shape: prompts, tool calls, retries, fallbacks. agtrace borrows OTel's span tree but specializes the kind taxonomy so traces remain useful for debugging agents.

agtrace is the data primitive that apr-app and (eventually) sts-app will emit telemetry into — one trace per PR review, one span per LLM call, one span per tool invocation, all stitched together.

Status

v0.0.1 alpha. In-process tracer + JSONL exporter + CLI dump. OTLP / Jaeger / hosted-collector exporters land in v0.1+.

What v0.0.1 ships

• agtrace.tracer.Tracer with a context-manager API.
• Span kinds tuned for AI workloads: agent · prompt · tool_call · retry · fallback · unknown.
• Automatic trace tree (parent / child via ContextVar — works under asyncio + threads).
• Exception handling: an exception inside a span sets status="error" and records the exception type as an attribute. The exception still propagates.
• Configurable exporter: default JSONL appender; in_memory_tracer() for tests; bring-your-own callable for OTLP / Sentry / Datadog.
• CLI: agtrace dump --from-file traces.jsonl pretty-prints a trace tree.

Usage

from agtrace import default_tracer

tracer = default_tracer()      # writes to .agtrace/traces.jsonl

with tracer.span("agent.run", kind="agent", attributes={"agent": "pr-reviewer"}):
    with tracer.span("llm.call", kind="prompt") as s:
        s.set_attribute("model", "claude-sonnet-4-6")
        s.set_attribute("max_tokens", 1024)
        # ... call your LLM here ...
        s.add_event("rate-limited", attributes={"retry_after": "1.5"})

    with tracer.span("tool.call", kind="tool_call") as s:
        s.set_attribute("tool", "read_file")
        # ... run the tool ...

agtrace version
agtrace dump --from-file .agtrace/traces.jsonl
# Renders a Rich tree:
#   agent.run (agent)  (124ms)
#     agent=pr-reviewer
#     llm.call (prompt)  (98ms)
#       model=claude-sonnet-4-6
#     tool.call (tool_call)  (12ms)
#       tool=read_file

Roadmap

• v0.1 — OtlpExporter (OTLP/HTTP) so traces ship into Honeycomb / Grafana / Datadog.
• v0.1 — context propagation across HTTP boundaries (agtrace.propagation).
• v0.2 — sampling + rate-limiting for production volume.
• v0.3 — integration with tokencost so each prompt span carries the cost in its attributes natively.

Apache-2.0 license. See CHANGELOG.