Free
$0a month
- 10,000 agent runs a month
- Basic tracing
- Community support
Install the SDK
02:14:11Z · run r_9f2c1a4e · agent refund-triage-v3
AgentOps Monitor replays every tool call, every LLM decision, every dollar an agent spends, so an on-call engineer at 2 a.m. can stop guessing and start fixing.
Refund triage, three retries, one held refund.
An agent without a budget is an incident waiting to be invoiced. Three minutes of looping, and the on-call sees the bill before they see the fix.
You cannot see what it did. Did it hallucinate, call the wrong API, retry forever?
You cannot explain a decision. Why was that refund rejected, that lead routed there?
Costs spiral without a ceiling. One looping agent, one very large bill.
Compliance blocks the deploy. No audit trail, no approval, no launch.
Every tool call, every LLM decision, with the exact tokens and wall time. Click a span, see its prompt, the model output, and what it changed in the world.
modelgpt-5-mini
tokens in54,118
tokens out10,000
cost$8.71
retry0 of 3
system: You are a refund triage agent for order #A-9123...
user: refund requested, reason: damaged on arrival
tool: vectorstore.query → 4 matches
assistant: Recommend HOLD pending review.
tool: stripe.refunds.create → status: held
tool: slack.postMessage → channel: #refunds
Span detail, prompt and tool calls.
Run timeline. One span runs hotter than the rest.
Hard caps at the workflow, the agent, and the user. A run stops at the limit you set, not at the limit your CFO finds out about.
| agent | runs | cost | cap | status |
|---|---|---|---|---|
| refund-triage-v3 | 12,402 | $182.04 | $300 | ok |
| support-routing-v1 | 8,114 | $64.21 | $200 | ok |
| lead-research-v2 | 3,118 | $48.12 | $120 | ok |
| doc-summarise-v1 | 22,408 | $412.18 | $500 | 82% |
| qa-test-gen-v0 | 4,802 | $112.40 | $200 | ok |
Cost per agent, hard cap, current status.
policy:
refund:
cap_per_run_usd: 50
require_approval_above: 250
approver_role: finance-lead
tool:
stripe.refunds.create:
hold_above_usd: 100
slack.postMessage:
block_channel: ["#exec-private"]
loop:
max_retries: 3
halt_after_seconds: 60
Policies ship in the SDK, run in our edge.
Three lines. The pre-launch SDK is designed for LangChain, CrewAI, and the OpenAI SDK. Compatibility remains unverified until the package ships.
from agentops_monitor import monitor
monitor.init(api_key="aom_...", budget_usd=50)
# planned adapters: LangChain, CrewAI, OpenAI SDK
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The names below are planned adapters, not shipping integrations or partnerships.
Planned launch pricing for free, team, enterprise, and metered overage.
$0a month
Install the SDK
$299a month
Install the SDK
From $2,000a month
Install the SDK
Meteredper 1,000 runs
Install the SDK
The audit trail will hold every prompt, model output, tool call, and human approval, retained according to configured policy. SOC 2, HIPAA, GDPR, and ISO badges are not claimed on this page. The audit trail is the product.
| event | recorded | retained |
|---|---|---|
| prompt | hash + length | policy window |
| model output | hash + length | policy window |
| tool call | args, response, latency | policy window |
| human approval | approver, role, time | policy window |
| policy block | rule, value, decision | policy window |
The bill is the first thing that tells you.