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Novice
24 lines
1.6 KiB
Markdown
24 lines
1.6 KiB
Markdown
# Overview
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The Agent node in Dify Chatflow/Workflow lets LLMs autonomously use tools. This plugin features two official Dify Agent reasoning strategies, enabling LLMs to dynamically select and run tools during runtime for multi-step problem-solving.
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## Strategies
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### 1. Function Calling
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Function Calling maps user commands to specific functions or tools. The LLM identifies the user's intent, decides which function to call, and extracts the required parameters. It is a straightforward mechanism for invoking external capabilities.
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#### Pros:
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- **Precise:** Directly calls the right tool for defined tasks, avoiding complex reasoning.
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- **Easy External Integration:** Integrates external APIs and tools as callable functions.
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- **Structured Output:** Provides structured function call information for easy processing.
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### 2. ReAct (Reason + Act)
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ReAct alternates between the LLM reasoning about the situation and taking actions. The LLM analyzes the current state and goal, selects and uses a tool, and then uses the tool's output for the next thought and action. This cycle repeats until the problem is resolved.
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#### Pros:
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- **Leverages External Information:** Effectively uses external tools to gather information for tasks the model cannot handle alone.
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- **Explainable Reasoning:** Interwoven reasoning and action steps allow some tracking of the Agent's process.
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- **Wide Applicability:** Suitable for tasks requiring external knowledge or specific actions, such as Q&A, information retrieval, and task execution. |