Implement a feature in BoltAI that enables users to communicate with two or more AI agents simultaneously within the same conversation. Users could reference each agent by using an @ call, allowing for collaborative problem-solving and diverse perspectives in a single thread.

Key Features:

1. @Call Functionality: Users can tag specific AI agents using @agent_name in their messages. Each AI would respond based on their specialization or assigned task, working together via conversation, you could even have a general adversary agent set up, an ai that writes code and and agent that reviews it, for example you could use Claude to write code and chatGPT to review it

2. Agent Roles and Context Management: Allow each AI to maintain its context while sharing relevant information with others. This enables more coherent and role-based interactions.

3. Sequential and Parallel Processing: Users can choose whether the AIs should respond sequentially (one after the other) or in parallel (both responding at the same time), depending on the complexity of the task.

4. Customizable Commands: Users could create custom commands that involve multiple agents, such as having one agent generate ideas while another refines them.

Use Cases:

• Research and Development: Collaborate with multiple AI models specializing in different fields to tackle complex problems.

• Content Creation: Use one AI for generating content and another for editing or optimizing it.

• Decision Support: Have different AI agents provide pros and cons on a decision to help users choose the best option.

Technical Considerations:

• Context Sharing: Ensure that agents can share and receive relevant context without overwhelming the user with redundant information.

This feature would significantly enhance BoltAI’s capabilities, making it a more powerful tool for complex tasks that benefit from diverse AI inputs.