Agentic Prompts

Karini AI’s Agent 2.0 offers a comprehensive suite of capabilities to build advanced generative AI applications in complex production environments.

Using Karini AI’s prompt playground, you can create AI agents that integrate the reasoning capabilities of large language models (LLMs) with the ability to take actionable steps, creating a more sophisticated system that can understand and process information, evaluate situations, take appropriate actions, communicate responses, and track ongoing situations.

In the prompt playground, you can create an agent prompt by selecting the task type as Agent.

Key components of an Agent 2.0 are:

• LLM (Large Language Model): LLM is responsible for generating traces, reasoning and actions for the task.

• Agent prompt: Agent prompt helps LLM in generating both reasoning traces and actions. Agent prompt may include variables, instructions for request handling and response processing.

• Tools: Tools are used to interact with external environments and gather information. Karini AI's agent prompt supports the following tools:

  • Agent

  • Catalog

  • Database

  • Knowledgebase

  • Dataset (Vector Store)

  • Prompt (LLM)

  • REST API

  • KnowledgeGraph

  • Lambda

  • Amazon Q Retriever

  • Amazon Bedrock Knowledge Base

  • Messaging

<<Video of Agent prompt>>