Product improvements

Recently, Anthropic announced that they will be deprecating legacy LLM models that are usable via LeMUR. We will therefore be sunsetting these models in advance of Anthropic's end-of-life for them:

• Claude Instant 1.2 (“LeMUR Basic”) will be sunset on October 28th, 2024
• Claude 2.0 and 2.1 (“LeMUR Default”) will be sunset on February 6th, 2025

You will receive API errors rejecting your LeMUR requests if you attempt to use either of the above models after the sunset dates. Users who have used these models recently have been alerted via email with notice to select an alternative model to use via LeMUR.

We have a number of newer models to choose from, which are not only more performant but also ~50% more cost-effective than the legacy models. 

• If you are using Claude Instant 1.2 (“LeMUR Basic”), we recommend switching to Claude 3 Haiku.
• If you are using Claude 2.0 (“LeMUR Default”) or Claude 2.1, we recommend switching to Claude 3.5 Sonnet.

Check out our docs to learn how to select which model you use via LeMUR.

We've released the AssemblyAI integration for Langflow, allowing low-code builders to incorporate Speech AI into their workflows.

Langflow is a popular open-source, low-code app builder for RAG and multi-agent AI applications. Using Langflow, you can easily connect different components via drag and drop and build your AI flow. Check out the Langflow docs for AssemblyAI's integration here to learn more.

We've fixed an edge-case issue that would cause requests using Speaker Labels to fail for some files.

We've released the AssemblyAI integration for Activepieces, allowing no-code and low-code builders to incorporate Speech AI into their workflows.

Activepieces is an open-source, no-code automation platform that allows users to build workflows that connect various applications. Now, you can use AssemblyAI's powerful models to transcribe speech, analyze audio, and build generative features in Activepieces.

Read more about how you can use AssemblyAI in Activepieces in our Docs.

We've fixed an edge-case which would sometimes occur due to language fallback when Automatic Language Detection (ALD) was used in conjunction with language_confidence_threshold, resulting in executed transcriptions that violated the user-set language_confidence_threshold. Now such transcriptions will not execute, and instead return an error to the user.