description: Agent that uses Function Calling to pick the tools and args to call.

Tool Agent

Tool Agent Functionality

The Tool Agent node in AIMicroMind plays a central role in enabling LangChain-style agentic behavior, allowing an LLM to reason and decide when and how to call tools (functions) dynamically during a conversation or task.

Inputs

The Tool Agent requires the following inputs to function effectively:

Required Parameters

• Tools: External capabilities the agent can use to complete tasks, such as web search, document reading, web scraping, file writing, API access, etc.
• Memory: the memory input provides the agent with long-term context across multiple user interactions. It helps the agent remember previous messages, questions, and responses, allowing it to hold a coherent and natural multi-turn conversation.
• Tool Calling Chat Model: Only compatible with models that are capable of function calling: ChatOpenAI, ChatMistral, ChatAnthropic, ChatGoogleGenerativeAI, ChatVertexAI, GroqChat

Optional Parameters

• Input Moderation: Optional input that enables content moderation. This helps ensure that queries are appropriate and do not contain offensive or harmful content.

Special Features

• Function Calling: Utilizes advanced chat models’ function calling for precise tool selection and execution.

• Memory Management: Maintains conversation history for contextual understanding.

• Tool Integration: Can use a variety of tools to enhance its capabilities and perform actions.

• Moderation: Can implement input moderation to ensure safe interactions.

• Vision Support: If the chat model supports vision capabilities, the agent can process and respond to image inputs.

• Streaming: Supports streaming responses for real-time interaction.

• Customizable Prompts: Allows for custom chat prompt templates to tailor the agent’s behavior.

Notes

• The agent uses a sophisticated prompt structure to maintain consistent behavior.

• It can handle multi-modal inputs if the underlying chat model supports it (e.g., text and images).

• The system message can be customized to tailor the agent’s personality and capabilities.

• The max iterations parameter can be used to control the depth of the agent’s problem-solving attempts.

• This agent is particularly useful for scenarios where maintaining conversation context, using specific tools, and leveraging function calling capabilities are important.

The Tool Agent node provides a powerful solution for building AI systems that can engage in informed, context-aware conversations while having the ability to use tools as needed. Its combination of conversational abilities, tool usage, and function calling makes it suitable for a wide range of applications requiring both knowledge access and task execution within a conversational framework.

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