Respan instrumentation for AgentOps

This package sends spans created by AgentOps' Python decorators through the active Respan OpenTelemetry pipeline.

It adapts AgentOps' own span kinds and content:

• trace / session and workflow decorators become Respan workflow spans
• agent decorators become agent spans
• task and operation decorators become task spans
• tool and guardrail decorators retain their matching Respan log types
• AgentOps LLM spans keep their GenAI messages and usage, with AgentOps' request-type and function fields promoted to the canonical Respan contract

The adapter does not initialize the AgentOps exporter. Activate Respan before calling AgentOps-decorated code:

from agentops import task, trace
from respan import Respan
from respan_instrumentation_agentops import AgentOpsInstrumentor

respan = Respan(
    api_key="...",
    instrumentations=[AgentOpsInstrumentor()],
)

@task
def prepare(value: str) -> str:
    return value.upper()

@trace
def workflow(value: str) -> str:
    return prepare(value)

workflow("hello")
respan.shutdown()

Set capture_content=False on AgentOpsInstrumentor to omit decorator inputs and outputs while retaining operation identity and status.