Build agents that meet expectations
When AI agents talk to customers, mistakes are expensive. Track every conversation, automatically test changes, and instantly detect issues with detailed technical monitoring.
Conversation Tracing
Complete history of every conversation with details down to individual LLM calls. See all agent reasoning steps, tools used, and decisions made. Quickly find problem sources and optimize logic.
Conversations Log
| Conversation | Status | Cost |
|---|---|---|
| Automate customer support AI | reached | $0.84 |
| Enterprise integration capabilities | reached | $1.26 |
| Lead qualification system demo | ongoing | $0.52 |
| Healthcare patient intake AI | failed | $0.64 |
| General product features | failed | $0.28 |
Acceptance Tests
Create automatic test cases to verify agent behavior. Ensure that prompt or logic changes don't break existing functionality. Run tests before every deployment.
Acceptance Tests
| Test Case | Version 1Active | Version 2 |
|---|---|---|
#1Customer refund request | 5 1.2s$0.04 | 5 1.1s$0.04 |
#2Product inquiry | 4 0.9s$0.03 | 5 0.8s$0.03 |
#3Complex workflow | Regression 3 2.4s$0.06 | 4 1.9s$0.06 |
#4Billing question | 5 1.0s$0.04 |
Observability Dashboard
System-level technical monitoring: all API calls, latency, error rates, token usage. See performance bottlenecks and get alerts when thresholds are exceeded.
LLM Latency
4.35sAgent Latency
13.4sError Rate
0.8%Flexible Limits
Set limits for different user types, individual agents, or entire organization. Control budget and prevent unexpected costs. Get notifications when approaching limits.
Limit Rules
| User Type | Messages/day | Tokens/message | |
|---|---|---|---|
| Anonymous | 10 | 1000 | |
| Lead | 50 | 2000 | |
| Client | 500 | 5000 |