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Overview

Respan Tracing captures telemetry for your LLM applications. It records workflows and tasks, tracks timings and errors, and sends traces to Respan so you can visualize and debug runs.

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Core Concepts

  • Workflows represent an end-to-end agent run
  • Tasks are operations within a workflow (LLM calls, tools, steps)
  • Traces are sent to Respan for visualization and analysis

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Components

  • Decorators: workflow, task, agent, tool
  • Client: RespanTelemetry and get_client()
  • Contexts: respan_span_attributes()
  • Instrumentation: Instruments enum and configuration

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Example

import os
from respan_tracing import RespanTelemetry
from respan_tracing.decorators import workflow, task

os.environ["RESPAN_API_KEY"] = "your-api-key"
os.environ["RESPAN_BASE_URL"] = "https://api.respan.ai/api"

k_tl = RespanTelemetry()

@workflow(name="my_workflow")
def my_workflow():
    @task(name="my_task")
    def my_task():
        return "done"
    return my_task()

result = my_workflow()
print(result)

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Next Steps