Langchain Agents | EP04 | Custom Agent with Memory | Langchain | LLM

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AI Summary

Custom Agent with Memory Using Langchain and Gradio

• Objective: Build a custom agent with memory using Langchain.
• Outcome: Intelligent agent with memory for contextually relevant responses.

Overview

• Tools: Langchain for agent, Gradio for web interface.
• Application: Q&A with Wikipedia, providing context-aware answers.

Steps for Implementation

1. Import Language Model: Use GPT-3.5 turbo from Langchain.
2. Import Wikipedia Tool: Utilize Wikipedia API for searching.
3. Bind Tool to Language Model: Ensure Wikipedia tool is used for queries.
4. Create Prompt Template: For agent’s use, minimal instruction needed.
5. Create Custom Agent with Memory: Store conversation history for context.
6. Showcase in Gradio: Interactive UI for real-time interaction.

Detailed Process

• Language Model: Import using chat.openai from Langchain.
• Wikipedia Tool: Use Wikipedia query run and wikipedia API deer modules.
• Binding Tool: Format tools to OpenAI tool format for the model.
• Prompt Template: Use chat_prompt_template from Langchain with placeholders for user input and chat history.
• Chat History: Initialize empty, store previous interactions using AI_message and human_message modules.
• Agent Implementation: Use runnable_sequence for input processing, format_to_openai_tool_message for intermediate steps, and openai_tool_agent_output_parser for final output.
• Agent Executor: Configure with agent, tools, and verbose parameters.
• Gradio Interface: Create a function to pass user queries to the agent, returning the agent’s response and chat history.

Example Execution

• Invoke Agent: Pass user query and chat history to agent executor.
• Update Chat History: Append new interactions for memory.
• Gradio UI: Input questions, submit to agent, and display chat history.

Conclusion

• Custom Agent: Successfully created with memory for context.
• Gradio: Provides an interactive and user-friendly interface.
• Tutorial Completion: Demonstrated agent creation, memory implementation, and Gradio UI interaction.

Goodbye until the next time.