add which model underlying call analysis

humford · web-flow · commit 2f1c03b1bcf1 · 2024-11-01T16:13:27.000-07:00
diff --git a/fern/assistants/call-analysis.mdx b/fern/assistants/call-analysis.mdx
@@ -5,7 +5,7 @@ slug: assistants/call-analysis
 ---
 
 
-The Call Analysis feature allows you to summarize and evaluate calls, providing valuable insights into their effectiveness. This feature uses a combination of prompts and schemas to generate structured data and success evaluations based on the call's content.
+The Call Analysis feature allows you to summarize and evaluate calls, providing valuable insights into their effectiveness. This feature uses a combination of prompts and schemas to generate structured data and success evaluations based on the call's content. The underlying models driving our call analysis pipeline are the latest version of Anthropic's Claude Sonnet and in case of failure OpenAI's GPT 4o.
 
 You can customize the below in the assistant's `assistant.analysisPlan`.
 
@@ -146,4 +146,4 @@ You can use prompts and rubrics in combination to create detailed instructions f
 }
 ```
 
-By customizing these properties, you can tailor the call analysis to meet your specific needs and gain valuable insights from your calls.
+By customizing these properties, you can tailor the call analysis to meet your specific needs and gain valuable insights from your calls.

Original file line number	Diff line number	Diff line change
`@@ -5,7 +5,7 @@ slug: assistants/call-analysis`
`5`	`5`	`---`
`6`	`6`
`7`	`7`
`8`		`-The Call Analysis feature allows you to summarize and evaluate calls, providing valuable insights into their effectiveness. This feature uses a combination of prompts and schemas to generate structured data and success evaluations based on the call's content.`
	`8`	`+The Call Analysis feature allows you to summarize and evaluate calls, providing valuable insights into their effectiveness. This feature uses a combination of prompts and schemas to generate structured data and success evaluations based on the call's content. The underlying models driving our call analysis pipeline are the latest version of Anthropic's Claude Sonnet and in case of failure OpenAI's GPT 4o.`
`9`	`9`
`10`	`10`	You can customize the below in the assistant's `assistant.analysisPlan`.
`11`	`11`
`@@ -146,4 +146,4 @@ You can use prompts and rubrics in combination to create detailed instructions f`
`146`	`146`	`}`
`147`	`147`	```
`148`	`148`
`149`		`-By customizing these properties, you can tailor the call analysis to meet your specific needs and gain valuable insights from your calls.`
	`149`	`+By customizing these properties, you can tailor the call analysis to meet your specific needs and gain valuable insights from your calls.`