Observability & Cost Guardrails for Autonomous AI Agents
Trace multi-turn agent reasoning loops, catch silent tool failures, and prevent runaway inference token bills before they break production.
Agent Orchestrator
type: coordinatorAI agents fail differently than traditional microservices.
Traditional APMs look for HTTP 500 errors and CPU spikes. But autonomous agents fail quietly: recursive loops, invalid tool JSON outputs, hallucinated function arguments, and exponential token drain.
Recursive Runaway Loops
When an agent hits an ambiguous tool error, it frequently enters an unmonitored retry loop, consuming 30+ turns and exhausting context limits before timing out.
Opaque Tool Delegations
When a coordinator agent delegates to sub-agents, debugging why a customer received incorrect data requires digging through megabytes of unindexed console logs.
Uncontrolled Token Inflation
Without per-step attribution, an innocent prompt modification or vector search top_k increase can quietly quadruple your monthly API invoice overnight.
Engineered for engineers building production agent systems.
Every feature is designed with zero-fluff engineering rigor, strict data security boundaries, and minimal performance overhead.
Agent Execution Graph Tracing
Visualize complex multi-agent reasoning chains, sub-agent delegations, tool calls, and LLM completions in an interactive DAG graph.
Granular Token Cost Attribution
Track token consumption down to the prompt node, tool call, session, and tenant. Detect cost anomalies in real-time.
Runtime Semantic Guardrails
Non-blocking asynchronous assertions for hallucination rate, schema conformance, prompt injection, and output safety.
Silent Failure & Loop Detection
Automatically terminate runaway recursive agent loops and pinpoint unhandled tool errors before users notice.
Two-Line SDK Integration
Plug-and-play SDKs for Python and TypeScript with native support for LangChain, LlamaIndex, AutoGen, and raw LLM clients.
Zero-Payload-Storage Option
Comply with strict enterprise data governance. Keep raw prompt payloads in your own VPC while streaming traces securely.
Zero friction from prototype to production.
Import the SDK
Add the lightweight OpenTelemetry-compatible wrapper to your Python or Node.js application. Zero monkey-patching of sensitive network sockets.
Stream Traces Asynchronously
Agent execution graphs, tool arguments, token counts, and step durations are batched and emitted in the background without degrading user response latency.
Enforce Runtime Guardrails
Configure cost caps, detect runaway recursive loops, verify output schemas, and receive automated alerts before minor issues affect end-users.
import { SynapTrace } from "@synaptrace/sdk";
import OpenAI from "openai";
// Initialize SynapTrace with zero-overhead async batching
const tracer = new SynapTrace({
apiKey: process.env.SYNAPTRACE_API_KEY,
serviceName: "customer-support-agent",
});
const openai = new OpenAI();
// Wrap your agent workflow with automated tracing
async function runAgent(prompt: string) {
return await tracer.traceSession("crm_triage", async (span) => {
span.setTag("model", "gpt-4o");
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [{ role: "user", content: prompt }],
tools: myAgentTools,
});
// Guardrail assertions execute asynchronously without slowing down TTFT
await span.evaluate({
hallucinationCheck: true,
costBudgetMax: 0.05,
});
return response;
});
}LLM Agent Cost & Runaway Risk Calculator
Simulate monthly token expenditure and potential runaway loop risks for multi-agent architectures.
Estimated unbilled waste caused by recursive retry loops without circuit breaker thresholds.
Via automated loop prevention, prompt deduplication, and anomaly triggers.
Transparent Product Roadmap
We operate in public with clear technical milestones.
- OpenTelemetry-compliant SDK for Python & TypeScript
- Interactive multi-turn agent execution graph tracer
- Basic token & latency cost anomaly detectors
- Private Developer Alpha ingestion pipeline
- Real-time circuit breakers for recursive agent loops
- Automated evaluation suites for prompt drift & hallucination
- Self-hosted Docker / Kubernetes deployment option
- Webhook alerts for Slack, PagerDuty, and Discord
- Adaptive prompt compression to reduce agent token overhead by 40%
- Automated synthetic stress-testing for production agents
- Fine-grained multi-tenant role-based access control (RBAC)
- Global distributed edge collectors
Join the Private Developer Alpha.
Get early access to our OpenTelemetry ingestion endpoints and start catching runaway agent failures today.