Stop overpaying for LLMs.
Observe, optimize & enforce.
The developer-first LLM observability platform built for production AI agents. Proactive AI cost waste detection, multi-turn session tracing, and real-time spend blocking before budget overruns happen.
Works seamlessly with any framework & provider
Cost Waste Engine Recommendation: 38% Estimated Savings
Trace step 1 used gpt-4o for classification. Switching this step to gpt-4o-mini will save ~$380/mo without accuracy loss.
customer-support-v2
Success (200)
3,842 tokens • $0.0142
842ms
Built Different By Design
Two capabilities no other platform offers.
Other observability tools report what you spent after the invoice arrives. TokenGuard proactively reduces your costs and stops overspend before it happens.
1. Cost Waste Engine with AI Recommendations
Traditional LLM monitors give you retrospective spend graphs. TokenGuard scans production traces in real time for:
- Prompt Bloat & Oversized Context: Detects static repetitive instructions that can be cached or compressed.
- Model Mismatch: Identifies reasoning models utilized for simple classifications and proposes cheaper alternatives.
- Retry & Loop Waste: Highlights failing loops and calculates exact dollars burned per incident.
2. Spend Enforcement (Block Before Overspend)
Most platforms send an alert email after an infinite agent loop generates a \$5,000 credit card bill.
- Hard Ingestion Quotas: Set monthly trace or spend ceilings per project.
- Automatic Throttling: When quota is reached, TokenGuard returns HTTP 429 to protect your cloud billing.
- Slack & Webhook Early Warnings: Receive progressive alerts at 75%, 90%, and 100% consumption.
Full-Stack Observability
Everything required to run reliable agents in production.
Multi-Turn Session Tracing
Group sequential calls into unified conversation sessions with sessionId. Track multi-turn context drift easily.
Slack & Webhook Alerts
Get rich Block-Kit Slack messages or custom webhooks when error rates spike or single requests breach cost thresholds.
Dataset Export (JSONL/CSV)
Export production traces directly as JSONL datasets for model fine-tuning and evaluation, or as CSV for analysis.
OpenTelemetry (OTel) Native
Forward standard OTLP JSON traces from any collector or OTel SDK directly to TokenGuard without proprietary lock-in.
Model & Provider Analytics
Breakdown costs and latency across Groq, OpenAI, Anthropic, Mistral, and custom open-source deployments.
Error & Retry Diagnostics
Correlate agent crashes with exact prompt payloads, error types, stack traces, and wasted dollar figures.
Developer Experience
Integrate in literally one line of code.
No complex instrumentation code. Wrap your existing Groq, OpenAI, or OTel client and start tracking immediately.
from groq import Groq
from tokenguard import TokenGuard
aw = TokenGuard(api_key="tg_live_...", base_url="https://tokenguard.dev")
# 1-Line auto-instrumentation
client = aw.wrap_groq(Groq(), session_id="user_session_101")
# Use client normally — tokens, latency, and cost are automatically tracked
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[{"role": "user", "content": "Analyze system requirements..."}]
)Transparent Pricing
Pay for value, not artificial seat gouging.
Start free. Upgrade as your agent traffic scales. Save 17% with annual billing.
Free
For individual developers and hobby projects getting started with LLM observability.
- 10,000 traces / month
- 7-day data retention
- 1 project · 1 seat
- Basic Cost Waste Engine
- Python & Node.js SDKs
- Community support
Pro
For growing teams building production AI agents that need cost protection and collaboration.
Billed monthly
- 100,000 traces / month
- 30-day data retention
- 5 projects included
- 3 team seats included (+$10/seat)
- Full AI Cost Waste Engine with proactive recommendations
- Slack (Block-Kit) + Email + Webhook alerts
- Multi-turn session tracing
- Dataset export (JSONL & CSV)
- Email support with 24h SLA
Enterprise
For organizations scaling high-volume LLM workloads needing governance, compliance, and custom SLAs.
Billed monthly
- 1,000,000 traces / month (usage-based overage)
- 90-day retention (180-day add-on available)
- Unlimited projects · Unlimited seats
- Custom waste rules + hard spend blocking
- OpenTelemetry (OTel) OTLP native ingestion
- Role-Based Access Control (RBAC)
- SSO (Google Workspace / Okta)
- Self-hosting deployment option (Docker/Helm)
- Priority dedicated Slack channel support
Need HIPAA compliance or On-Premise deployment?
TokenGuard offers isolated Docker / Helm chart deployments for regulated enterprise workloads.
Frequently Asked Questions
Have a question? We have answers.
Does TokenGuard add latency to my LLM calls?
No. Our SDKs use an asynchronous in-memory background transport with batching and backoff retries. Your API calls execute at native speed, adding less than 2ms total process overhead.
Is prompt and response data secure?
Yes. All payloads are encrypted in transit via TLS and at rest. You can configure data retention limits per project and choose to mask sensitive user credentials before ingestion.
Can we self-host TokenGuard on our own cloud?
Yes! For enterprise teams with strict data residency, HIPAA, or SOC2 requirements, we offer on-premise Docker and Kubernetes Helm deployments. Contact our enterprise team to get started.
Can I cancel or switch plans at any time?
Yes, you can upgrade, downgrade, or cancel your subscription at any time directly through the dashboard billing portal. There are no lock-in contracts or cancellation penalties.
Ready to take control of your LLM spend?
Join developers using TokenGuard to trace, optimize, and enforce agent spend in production.