Documentation Index
Fetch the complete documentation index at: https://docs.trodo.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
New to Trodo? Trodo is an observability platform for AI agents. Every agent execution becomes a trace — a structured record of timing, inputs, outputs, LLM calls, and tool invocations — so you can understand exactly what your agent did and where it went wrong. Learn more about the concepts →
Agentic setup
Install the Trodo AI skill to let your coding agent integrate Trodo automatically. It detects your framework, picks the right integration path, and knows the common pitfalls.- Ask your coding agent
- Manual installation
Point your agent at the skill repository and ask it to add tracing:The skill works with Cursor, Claude Code, Windsurf, and any other assistant that can read files in your repo or fetch from GitHub.
trodo.init(), wrap your agent entry point with wrapAgent, and tell you which env var to set.
Manual setup
Prefer to do it by hand? Three steps.1. Install
- Node.js
- Python
TRODO_SITE_ID in your environment.
2. Initialise once at boot
Callinit at your app entry point, before any provider client (OpenAI, Anthropic, LangChain, etc.) is imported. That’s how auto-instrumentation attaches itself to their SDKs.
- Node.js
- Python
3. Wrap your agent
wrapAgent records everything inside the callback as one run. LLM calls, tool calls, retrieval — all captured as child spans with zero extra code.
- Node.js
- Python
See your trace in Trodo
Open the Trodo dashboard and navigate to Agent Analytics → Runs. Your run appears within a few seconds — click it to see timing, input, output, and every child span from provider instrumentation.Next steps
- Concepts — runs, spans, kinds, propagation.
- Tracing → wrapAgent — every option on the run.
- Integrations — per-framework setup and auto-capture tables.
- Recipes — copy-paste examples for common app shapes.