Daniel Usvyat

Add support to agent for default LLM parameters from config

3

## Description Updated agents_controller to utilize default LLM parameters when model or provider is not explicitly provided. Introduced unit tests to validate the behavior, ensuring defaults are properly applied and...

## Description This update ensures the system can recognize and utilize a generic `api_key` parameter in addition to provider-specific API keys. Changes were made to both `agents_controller.py` and `handler_utils.py` to...

Extended the list of keys included in the response to include the "a2a" key. This ensures relevant configuration values are exposed via the API when set. ## Description Please include...

## Description Enhanced `_extract_kb_names` to handle lists, JSON strings, and additional input formats. Updated result formatting logic to accommodate diverse schema and sample data types, ensuring clarity and flexibility in...

## Description This new endpoint returns server status, uptime, and configuration details, enabling easier monitoring and diagnostics. The implementation includes tracking server start time and leveraging the agent card for...

add more openai models for agents

1

## Description Please include a summary of the change and the issue it solves. Fixes #issue_number ## Type of change (Please delete options that are not relevant) - [ ]...

Sagemaker LDA topic model - how to access the params of the trained model? Also is there a simple way to capture coherence

2

I'm new to Sagemaker and am running some tests to measure the performance of NTM and LDA on AWS compared with LDA mallet and native Gensim LDA model. I'm wanting...