Observability · Integration

Langfuse + Voicent AI

Voice workflows that actually work — not just call transfers.

Langfuse is the observability layer under Voicent. It versions and serves the prompts your agents run, so you can improve call behavior without redeploying — and trace what happened afterward.

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Overview

Langfuse is the observability and prompt-management layer that makes Voicent agents improvable rather than static. get_prompt pulls a named, versioned prompt from Langfuse at runtime, so the words your agent uses are managed as data you can edit and roll back — not code you have to redeploy. Paired with Langfuse tracing, every call is scored and tied back to the exact prompt version behind it, so you can see what a change did and iterate with evidence. This is platform infrastructure: you’ll usually configure it once rather than wire it into individual call flows.

What your agent can do with Langfuse

How it works

  1. You manage your agent’s prompts as versioned entries in Langfuse.
  2. At runtime the agent calls get_prompt to load the current version — no redeploy to change wording.
  3. Langfuse tracing records the call and ties it to the exact prompt version for later analysis.

What the agent actually says

Every call your Voicent agents run is traceable, scored, and tied back to the exact prompt version behind it.

Put it in a workflow

Combine Langfuse with triggers, branches, and other connectors in a Voicent workflow.

Browse workflow templates →

In practice

Prompt changes ship without a redeploy; every call is traceable.

A team iterating on agent behavior manages prompts in Langfuse. Voicent pulls the current prompt version at runtime via get_prompt, so a copy change ships to production without a redeploy.

See Langfuse + Voicent on a real call.