AgentLogs
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See what your agents actually did.

Step-by-step traces for AI agents in production. Paste a failing run below and get a cause and a next step, no account needed.

agentlogs
agentlogs
~/my-agent
>  
● Tracing: installstep 1 of 4
  • install
  • configure
  • wrap run
  • read trace

explain-trace

guest: 10 runs a minute, no sign-in

Output appears here: summary, likely cause, next step.
One click: Load example and run.

$ how it works: three commands

1 install
pip install agentlogs-sdk
2 configure
export AGENTLOGS_API_KEY="<your API key>"
export AGENTLOGS_PROJECT="my-agent"
3 instrument
from agentlogs import AgentLogs

client = AgentLogs()
with client.trace("agent-run") as trace:
    trace.step("llm_call", metadata={"model": "gpt-4o", "tokens": 1200})
    trace.step("done", metadata={"output": result})

$ access --tiers

Full pricing
What each access tier includes
Guestno accountExplain a trace, example data, docs, source
Free accountsign in, $010,000 trace events a month, 7-day retention, 1 project
Locked: Proplanned, not billed1,000,000 events a month, 30-day retention, 5 seats

Limits are drafts until the paid plan ships. Nothing is billed today.