[Fixed] Issue with Custom Prompt with an agent Using LangChain and GPT-4

Quick Fix: In the agent configuration, add the custom prompt as a prefix to guide the Language Chain agent’s responses. This helps align the agent’s outputs with your specific requirements, leading to more contextually relevant and informative results.

The Problem:

In a project that aims to create a question-answering agent using LangChain and GPT-4, a custom prompt template was defined to modify the output of the agent. However, when running queries, the custom PROMPT seems to be ignored, resulting in the agent not adhering to the specified prompt guidelines. The goal is to enable the agent to apply the custom prompt and adhere to instructions such as providing results in a certain language or defining the type of files mentioned in the JSON output. Additionally, the agent’s responses are sent to a Streamlit app for display and feedback collection.

The Solutions:

Solution 2: Fixing Custom Prompt Issue via Modify `Template`

The problem may arise due to the setting of the custom prompt template in `agent`. To address this, try the following approach:

Create the agent without the custom prompt:

agent1 = create_pandas_dataframe_agent(
    llm,
    [df1, df2],
    agent_type=AgentType.OPENAI_FUNCTIONS,
    verbose=True,
    max_iterations=5,
    early_stopping_method='generate',
)

Directly modify the template attribute of the agent’s llm_chain.prompt object:

agent1.agent.llm_chain.prompt.template = template

This should set the custom prompt template correctly for the agent.

Q&A

How to properly set a custom prompt in LangChain with GPT-4 for a pandas DataFrame agent?

—

Use LangChain’s experimental ‘PREFIX’ import and pass in your prompt.

Where do I add my custom prompt to the agent configuration?

—

Add ‘prefix=PREFIX’ to the agent configuration.

Can you show me an alternative way to apply a custom prompt template?

—

Consider using agent1.agent.llm_chain.prompt.template = template.

Video Explanation:

The following video, titled "LangChain Agents Deep Dive with GPT 3.5 — LangChain #7 ...", provides additional insights and in-depth exploration related to the topics discussed in this post.

This video provides further insights and detailed explanations related to the content discussed in the article.

[Fixed] Issue with Custom Prompt with an agent Using LangChain and GPT-4 – Langchain