INTEGRATION

OpenAI ChatKit Observability for AI Product Teams

Connect ChatKit conversations to user behavior, quality, latency, errors, tool usage, and business outcomes.
Chat sessionsUser behaviorQuality signals
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Anosys CopilotAsk operational questions across selected evidence sources
15 sources · 115 records
Token usageLatencySession qualityTool statsCostEvals

Why did checkout quality drop after deploy?

  • Retry loop increased tool latency by 38%.
  • Relevance eval fell below policy threshold.
  • Customer completion dropped in the affected workflow.
Why teams use it

Measure the chat experience, not just the model call

Add a lightweight hook to ChatKit and monitor whether your AI product experience is improving or degrading.

What teams can do

Questions this answers

  • Find where chat experiences degrade
  • Connect user behavior to AI quality and latency
  • Detect quality regressions after release changes
  • Prioritize product fixes by customer impact
  • Give support teams context behind escalations
What AnoSys Captures

Measure the chat experience as a product workflow: turns, tool calls, latency, relevance, user actions, journey context, and downstream outcomes.

01

Conversation sessions and turns

02

Latency, time-to-first-token, errors, and tool calls

03

User actions, engagement, and customer journey context

04

Quality and relevance evals

05

Business KPIs tied to chat outcomes

Implementation Path

Start with the docs

Use the linked guide to install the collector or SDK, verify the endpoint, and send a small trace or event payload. Once data lands, connect it to dashboards, evals, alerts, and investigations.

useAnosysChatKit({
  app: "support-copilot",
  userId,
  sessionId
});
OpenAI ChatKit docs
Related Pages

Where to go next

Custom Dashboards Evals & Model Monitoring AI Assistant Customer Experience For AI Products AI Quality & Evals
FAQ

Does this require OpenTelemetry?

No. ChatKit can be instrumented directly, and you can still add OpenTelemetry context from backend services.

Can I redact content?

Yes. Teams can control message content capture and use redaction patterns for sensitive data.

Can I track cost?

Yes. AnoSys can connect conversation behavior to token usage, model cost, and workflow context.

Can I monitor tool calls?

Yes. Tool usage can be captured alongside conversation turns and user actions.

Can I use this with enterprise security controls?

Yes. Enterprise controls can govern sensitive data, auditability, ownership, and retention workflows.

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