[BUG/FEAT]: AWS Bedrock reasoning models with @agent

[timothycarambat]

How are you running AnythingLLM?

All versions

What happened?

With the refactor of AWS Bedrock to move away from Langchain in #3537

This needs to be expanded to the agent execution provider, as the use of Langchain to use reasoning models for agent execution is not possible with the current implementation.

Current workaround
Do not use reasoning models for AWS Bedrock agent execution as the content response is an array as opposed to a string - like all other models.

Are there known steps to reproduce?

Use a reasoning model for AWS bedrock and send a single agent chat. This error will manifest as a jsonString?.startsWith error - which is a red herring as the real error is the output formats from the response being mishandled by Langchain.

[tristan-stahnke]

@timothycarambat I think my PR #3714 resolved this, can you check?

[tristan-stahnke]

I was able to create agents using bedrock with my PR applied for the bedrock provider, parsed the content of a google search and sent it back to the LLM; not sure if there's another part of the @agent functionality that's needed, but would be cool to test it out, definitely want to get agents working fully with bedrock 💯