diff --git a/fern/providers/observability/langfuse.mdx b/fern/providers/observability/langfuse.mdx index 9e62986e8..11bbd8a37 100644 --- a/fern/providers/observability/langfuse.mdx +++ b/fern/providers/observability/langfuse.mdx @@ -8,16 +8,18 @@ slug: providers/observability/langfuse Vapi natively integrates with Langfuse, allowing you to send traces directly to Langfuse for enhanced telemetry monitoring. This integration enables you to gain deeper insights into your voice AI applications and improve their performance and reliability. - + +
+ ## What is Langfuse? @@ -50,8 +52,8 @@ Under the **Observability Providers** section, you'll find an option for **Langf Click **Save** to update your credentials. - - + +
@@ -60,8 +62,8 @@ Click **Save** to update your credentials.
Once you've added your credentials, you should start seeing traces in your Langfuse dashboard for every conversation your agents have.
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Example trace in Langfuse: https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/50163c14-9784-4cb9-b18e-23e924d0bb66
@@ -73,4 +75,4 @@ Example trace in Langfuse: https://cloud.langfuse.com/project/cloramnkj0002jz088
To make the most out of this integration, you can now use Langfuse's [evaluation](https://langfuse.com/docs/scores/overview) and [debugging](https://langfuse.com/docs/analytics/overview) tools to analyze and improve the performance of your voice AI agents.
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