Infrastructure for reliable agents
Evaluate, trace, and observe every agent interaction at scale. Vektor gives your team the data layer to debug, benchmark, and ship production AI with confidence.
// Instrument any agent in 3 lines
import { vektor } from "vektor-sdk"
const agent = vektor.trace(myAgent, {
name: "customer-support-v2" ,
eval: true ,
memory: "semantic"
});Every layer of the agent stack
Benchmark agents at every layer
Run deterministic and LLM-as-judge evaluations against custom criteria. Score reasoning chains, tool calls, and final outputs.
Full-span observability for agents
Capture every LLM call, tool invocation, and memory read. Reconstruct agent execution paths with sub-millisecond granularity.
Persistent context for long-horizon tasks
Store, retrieve, and selectively compress agent memory across sessions. Supports episodic, semantic, and procedural memory stores.
From zero to observable in minutes
Instrument
Wrap any LLM or tool call with Vektor SDK. Zero-config auto-instrumentation for LangChain, LlamaIndex, CrewAI.
Trace
Every span is captured — model calls, retrieval, memory ops, tool use. Full DAG visible in the dashboard.
Evaluate
Define eval suites. Run them on replayed traces. CI-integrated pass/fail gates before every deploy.
Iterate
Compare runs, diff outputs, surface regressions. Ship faster with confidence backed by data.
"Vektor cut our agent debugging time by 70%. We can now catch prompt regressions before they hit production."
Start tracing your agents today
Free for teams under 50K traces/month. No credit card required. Scales to billions of spans.