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Merge pull request #704 from microsoft/macae-rfp-agent-framework
Macae rfp agent framework
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TRANSPARENCY_FAQS.md

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# Multi-Agent-Custom-Automation-Engine – Solution Accelerator : Responsible AI FAQ
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## What is the Multi Agent: Custom Automation Engine – Solution Accelerator?
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Multi Agent: Custom Automation Engine – Solution Accelerator is an open-source GitHub Repository that enables users to solve complex tasks using multiple agents. The accelerator is designed to be generic across business tasks. The user enters a task and a planning LLM formulates a plan to complete that task. The system then dynamically generates agents which can complete the task. The system also allows the user to create actions that agents can take (for example sending emails or scheduling orientation sessions for new employees). These actions are taken into account by the planner and dynamically created agents may be empowered to take these actions.
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Multi Agent: Custom Automation Engine – Solution Accelerator is an open-source GitHub Repository that enables users to solve complex tasks using multiple agents. The accelerator is designed to be generic across business tasks. The user enters a task and a planning LLM formulates a plan to complete that task. The system then dynamically generates agents which can complete the task. The system also allows the user to create actions that agents can take (for example sending emails or scheduling orientation sessions for new employees, drafting a press release, customer retail remediation, reviewing contracts, reviewing proposals). These actions are taken into account by the planner and dynamically created agents may be empowered to take these actions.
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## What can the Multi Agent: Custom Automation Engine – Solution Accelerator do?
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The solution accelerator is designed to replace and enhance enterprise workflows and processes with intelligent automation. Agents can specialize in various functions and work together to achieve an objective as specified by the user. The accelerator will integrate seamlessly with existing systems and is designed to scale according to the needs of the customer. The system allows users to review, reorder and approve steps generated in a plan, ensuring human oversight. The system uses function calling with LLMs to perform actions, users can approve or modify these actions.

docs/images/readme/agent_flow.png

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