Documentation Index
Fetch the complete documentation index at: https://docs.latitude.so/llms.txt
Use this file to discover all available pages before exploring further.
Overview
This guide shows you how to integrate Latitude Telemetry into an application that uses the OpenAI Agents SDK (@openai/agents for TypeScript, openai-agents for Python).
Latitude includes dedicated instrumentation for the OpenAI Agents SDK, so agent runs, generations, function calls, handoffs, and guardrails appear as traces.
You’ll keep calling the Agents SDK exactly as you do today. Telemetry observes
agent runs, tool calls, and handoffs as they happen.
Requirements
- A Latitude account and API key
- A Latitude project slug
- A project that uses the OpenAI Agents SDK
Steps
What you get
Each agent run shows up as a trace with nested spans:- Agent spans — agent name, configured tools, handoff targets, output type
- Generation / Response spans — model, input/output messages, token usage, response id
- Function spans — tool calls with input arguments and output
- Handoff spans —
from_agent→to_agent - Guardrail spans — guardrail name and whether it triggered
- MCP spans — listed tools per server
capture() to attach a userId, sessionId, tags, or metadata to every span produced inside.
Seeing Your Traces
Once connected, traces appear automatically in Latitude:- Open your project in the Latitude dashboard
- Each agent run shows the full hierarchy of agent → generation/response → tool calls and handoffs
- Token usage and latency are aggregated at every level