Added Amazon Bedrock integration with flagship models to CrewAI-Studio

[taanisshhaa]

This PR introduces Amazon Bedrock support to CrewAI-Studio, enabling users to leverage AWS-hosted foundation models alongside existing providers seamlessly.

-> What’s New:

• Added a new Bedrock provider in LLM_CONFIG.
• Exposed 5 widely used flagship models:
  • amazon.nova-pro-v1:0
  • amazon.titan-text-express-v1
  • anthropic.claude-3-5-sonnet-20240620-v1:0
  • meta.llama3-1-70b-instruct-v1:0
  • mistral.mixtral-8x7b-instruct-v0:1

-> Implementation:

• Added create_bedrock_llm function for Bedrock model instantiation.
• Updated LLM_CONFIG to include Bedrock provider and its models.
• Enabled support for AWS environment variables:
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY

-> Testing:

• Verified locally by running CrewAI-Studio with AWS credentials.
• Successfully initiated completions across Nova, Titan, Claude, LLaMA, and Mixtral models.

-> Why This Matters:

• Amazon Bedrock is becoming a key entry point for production-ready LLMs from Amazon, Anthropic, Meta, and Mistral.
• Adding this integration:
  1. Expands CrewAI-Studio’s supported ecosystem.
  2. Gives users access to both proprietary and open-source models with a single, consistent interface.

-> Personal Note:

• While working with CrewAI-Studio I wanted to use Amazon Bedrock, but noticed it wasn’t available. Since Bedrock is becoming a major provider, I thought it would be useful to add support. This PR is my attempt to fill that gap and hopefully make CrewAI-Studio more helpful for others in the same situation