Agent observability built for agents
— not retrofitted from LLM logging.
Real-time trace view, issue lifecycle tracking, and step-by-step execution
— for AI agents that actually run.
Everything you need to ship reliable AI
Built-in observability. Zero vendor lock-in. Works with any framework.
Instrument in 60 seconds
pip install agenttrace-sdkexport AGENTTRACE_API_URL="https://agentlogs.app"
export AGENTTRACE_PROJECT="my-agent"from agenttrace import AgentTrace
client = AgentTrace()
with client.trace("agent-run") as trace:
trace.step("llm_call", metadata={"model": "gpt-4o", "tokens": 1200})
# your agent logic
trace.step("done", metadata={"output": result})Simple. Developer-first.
Start free. Upgrade when you need more.
- 10,000 trace events / month
- 7-day log retention
- 1 project
- Community support
- 1,000,000 trace events / month
- 30-day log retention
- Unlimited projects
- Team seats (up to 5)
- Webhook + REST API export
- Email support (24h SLA)
How we stack up
| Feature | AgentTrace | LangSmith | Helicone | Arize |
|---|---|---|---|---|
| Agent-Focused | — | |||
| Real-time Trace View | — | — | — | |
| Issue Lifecycle Tracking | — | — | — | |
| Multi-Step Tracing | — | |||
| Cost Analytics | ||||
| Self-Hosting | — | — | — | |
| Open Source | — | — | — | |
| Starting Price | Free | $39/mo | maintenance | $500+/mo |
Ship AI agents with confidence
Open-source observability for AI agents. Free forever for the core. Self-host or use our hosted version.