AI Agent Observability
Know exactly what your agents are doing.
NeuralOps sits between your app and your LLM provider — logging every call, scoring every output for hallucination risk, tracking cost per workflow, and rolling back to a fallback model before your users notice.
Works with OpenAI · Anthropic · Gemini · Mistral · Cohere
Traces today
14,892
+12% vs yesterday
Avg latency
1.24s
-8% vs yesterday
Cost today
$48.30
+3% vs yesterday
Fallbacks triggered
17
-22% vs yesterday
| Trace ID | Workflow | Model | Tokens | Cost | Score | Status |
|---|---|---|---|---|---|---|
| tr_8x4k2p | rag-pipeline | gpt-4o | 3,421 | $0.068 | 0.94 | ok |
| tr_9m1qzr | email-agent | claude-3.5 | 1,892 | $0.038 | 0.71 | fallback |
| tr_2j9wvn | sql-gen | gpt-4o-mini | 892 | $0.004 | 0.99 | ok |
What NeuralOps gives you
Every prompt, completion, tool call, and token count — logged to ClickHouse in real time with sub-10ms SDK overhead.
Per-call quality scores using model-graded evaluation. Set thresholds; NeuralOps triggers the fallback automatically.
Cost per workflow, per model, per user. Drill from the aggregate chart to the exact call that blew your budget.
When quality drops below your threshold, NeuralOps reroutes to your defined fallback model without a deploy.
Visual trace tree for multi-step agent runs. See exactly where the chain broke and what context each node received.
Link agent actions to revenue KPIs. Show your CTO which workflows are paying for themselves.
3-line install
Drop it in any project in minutes.
npm install neuralops
# or: bun add neuralopsimport neuralops from "neuralops";
const client = neuralops.wrap(openai, { projectId: "proj_xxx" });
// That's it. Every call is now traced.Works with any OpenAI-compatible SDK. Native adapters for Anthropic and Gemini included.
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