Changelog

Model Improvements:

Models Refactor: A complete overhaul of our models implementation to improve on performance and to have better feature parity across models.
- This improves metrics and visibility on the Agent UI as well.
- All models now support async-await, with the exception of AwsBedrock.
Azure AI Foundry: We now support all models on Azure AI Foundry. Learn more [here](https://learn.microsoft.com/azure/ai-services/models)..
AWS Bedrock Support: Our redone AWS Bedrock implementation now supports all Bedrock models. It is important to note [which models support which features](https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html).
Gemini via Google SDK: With the 1.0.0 release of [Google’s genai SDK](https://github.com/googleapis/python-genai) we could improve our previous implementation of Gemini . This will allow for easier integration of Gemini features in future.
Model Failure Retries: We added better error handling of third-party errors (e.g. Rate-Limit errors) and the agent will now optionally retry with exponential backoff if exponential_backoff is set to True.

Exa Answers Support: Added support for the [Exa answers](https://docs.exa.ai/reference/answer) capability.
GoogleSearchTools: Updated the name of GoogleSearch to GoogleSearchTools for consistency.

Our Gemini implementation directly on the Vertex API has been replaced by the Google SDK implementation of Gemini.
Our Gemini implementation via the OpenAI client has been replaced by the Google SDK implementation of Gemini.
Our OllamaHermes has been removed as the implementation of Ollama was improved.

Team Members Names: Fixed a bug where teams where team members have non-aphanumeric characters in their names would cause exceptions.

Full Changelog: v1.0.8...v1.1.0