Works with everything
“AgentShield caught a prompt loop that was burning $200/day on our production agent. Set up in under 2 minutes, budget cap activated, issue resolved.”
Monitor
MODULETrack every dollar, in real-time
Cost tracking per agent, smart alerts with AI diagnosis, forecast costs that accumulate without per-agent visibility, and get automatic model recommendations.
Replay
MODULEDebug in seconds, not hours
Step-by-step visual timeline of every agent session. See inputs, outputs, costs, and errors — then share with your team in one click.
Protect
MODULEGuardrails that actually guard
Configurable content rules, automatic PII redaction, budget caps with kill switch, and compliance-ready audit logs.
Everything your agents need to behave.
One API call. Three modules. Complete observability for AI agents in production.
Real-time Cost Tracking
See every API call, every token, every dollar — the moment it happens. Not at the end of the month.
Smart Alerts
When something goes wrong, AI diagnoses why and suggests a fix. Not just 'threshold exceeded'.
Cost Autopilot
Automatic model recommendations with estimated savings. 'Switch to gpt-4o-mini here — save $85/month.'
Session Replay
Visual step-by-step timeline of every agent run. Inputs, outputs, costs — all in one view.
Guardrails & PII
Block unwanted content, redact personal data automatically, kill switch when things go wrong.
Cost Forecast
Know which agent caused the cost spike before it accumulates. Per agent, per team, with confidence intervals.
Up and running in 2 minutes.
No infrastructure. No config files. No code changes to existing agents.
Install the SDK
One line. pip install agentshield. Works with OpenAI, Anthropic, Google, LangChain, CrewAI, and more.
Add one decorator
@shield(agent='my-agent') — that's it. Costs, sessions, and guardrails are now tracked.
See everything
Open your dashboard. Costs in real-time. Sessions you can replay. Violations you can prevent.
One API call.
Full observability.
Any language. Any tool. Python, JavaScript, cURL, n8n, Make — if it can send an HTTP POST, it works with AgentShield.
1import agentshield as shield23@shield(agent="my-research-agent")4async def research_agent(query: str) -> str:5 # AgentShield tracks per-agent, per-session:6 # ✓ Token usage & costs7 # ✓ Session timeline for replay8 # ✓ Guardrail violations & anomalies910 response = await openai.chat.completions.create(11 model="gpt-4o",12 messages=[{"role": "user", "content": query}]13 )14 return response.choices[0].message.content1516# That's it. Open your dashboard.17# app.agentshield.one
Start free. Scale with confidence.
No credit card required. Upgrade or downgrade any time.
Why AgentShield?
Built specifically for AI agents — not retrofitted from generic APM tools.
| Feature | YOU ARE HEREAgentShield | LangSmith | Helicone | Langfuse | Provider Limits |
|---|---|---|---|---|---|
| Real-time cost tracking | ✓ | ✗ | ✓ | ✓ | ✅ total only |
| Per-agent cost breakdown | ✓ | ✗ | ✗ | ✓ | ✗ |
| Per-session cost breakdown | ✓ | ✓ | ✗ | ✓ | ✗ |
| Session Replay | ✓ | ✓ | ✗ | ✓ | ✗ |
| Guardrails & PII redaction | ✓ | ✗ | ✗ | ✗ | ✗ |
| Budget caps per agent | ✓ | ✗ | ✗ | ✗ | ✅ total only |
| Kill switch per agent | ✓ | ✗ | ✗ | ✗ | ✗ |
| Anomaly detection | ✓ | ✗ | ✗ | ✗ | ✗ |
| No-code support (n8n, Make, Zapier) | ✓ | ✗ | ✗ | ✗ | ✗ |
| REST API (no SDK required) | ✓ | ✗ | ✓ | ✓ | ✗ |
| Free tier | ✓ | ✓ | ✓ | ✓ | ✓ |
OpenAI and Anthropic give you total spending limits. AgentShield gives you per-agent, per-session cost attribution. Your support-agent has a $5/day budget. Your research-agent has $50/day. Provider dashboards can't do that.
“But I already have spending limits on OpenAI”
Provider limits cap your total. AgentShield shows you exactly where.
What provider limits show you
Total spend: $340 this month. Rate limit: 10,000 req/min. Credit cap: $500/month. That's it.
What AgentShield shows you
support-agent: $12/month (normal) research-agent: $280/month (⚠ 3x baseline) → session #4847 looped 97 times → cost: $40 in one session → anomaly detected → Slack alert → budget cap hit → agent frozen Know WHERE, not just how much.
Frequently asked questions
No. AgentShield tracks events asynchronously — your agent calls return immediately, with zero added latency. Events are batched and sent in the background.
OpenAI, Anthropic, Google (Gemini), Cohere, and any OpenAI-compatible API. Framework support: LangChain, CrewAI, AutoGen, LlamaIndex, and plain Python.
The SDK detects and redacts email addresses, phone numbers, credit card numbers, SSNs, and IP addresses before data leaves your environment. You can configure custom patterns.
Yes. Outbound webhooks (Pro+) let you forward events to Datadog, Grafana, PagerDuty, or any HTTP endpoint. AgentShield complements — not replaces — your existing tools.
Event data is stored per your plan: 7 days (Free), 30 days (Starter), 90 days (Pro), 1 year (Team). Session inputs/outputs are only stored if you opt in, and always with PII redacted.
AgentShield raises a BudgetExceededError in your code and optionally activates the kill switch — preventing further API calls until you lift it manually or the period resets.
Not yet. We are working on a self-hosted version for enterprise compliance needs. Contact us if that is a requirement.
No. AgentShield has a REST API that works with any tool that can send an HTTP POST request — n8n, Make, Zapier, Retool, any programming language. The Python SDK is optional.
Add an HTTP Request node after your AI call. POST to api.agentshield.one/v1/track with your agent name and token counts. Costs appear in the dashboard in real time. No SDK, no code changes.
AgentShield is the only tool that combines per-agent cost attribution, session replay, guardrails, and budget kill switches in one product. It also works with no-code tools like n8n and Make, which none of the alternatives support.
Provider limits cap your total spend. AgentShield caps per agent, per session. Your OpenAI dashboard shows 'you spent $340 this month.' AgentShield shows 'your research-agent spent $280, and session #4847 looped 97 times causing a $40 spike on Tuesday.' That per-agent attribution is what providers don't give you.
No. Providers show total spend. AgentShield tracks per-agent, per-session costs, replays every step of an agent session, detects anomalies using statistical baselines, enforces budget caps per agent with automatic kill switches, and redacts PII from tracked data. None of that exists in any provider dashboard.