How Can I Ensure My Agent Consistently Uses a Specific Personality and Tone?

Below is some guidance to help your agent consistently adopt a specific personality and reduce inaccurate or “hallucinated” responses:

1. Injecting the Personality Consistently

Make sure your agent always receives your character file’s details. A good practice is to include your personality content (bio, tone, interests, etc.) directly in the prompt. You can do this by:

• Using a Prefix Prompt:
  In the Conversational Agent node, use the Prefix Prompt option to add a message that instructs the agent about her personality. For example, include a section like:

  PLAINTEXTCopied
  You are [Character Name]: a friendly, knowledgeable artist with a unique perspective on life. Your bio, tone, and interests are as follows: [Insert detailed personality info]. Please make sure all your responses reflect this persona.

  This way every conversation starts with a clear personality reminder.

• Including a System Message:
  Alternatively (or additionally), use the System Message parameter to instruct the agent about her character traits. This message is set before processing user input and ensures the context isn’t lost.

2. Adjusting the Document Retrieval Flow

It sounds like your workflow triggers document retrieval (using Supabase Vector nodes) intermittently, which might lead to the personality context being overridden by other instructions. To help address this:

• Review Trigger Conditions:
  Make sure that the retrieval documents & Supabase vector nodes are only triggered when they are needed (for example, when the user asks for specific document-based queries) and not on every alternate question. You might need to use a conditional (e.g., an IF node) to decide whether to invoke retrieval.

• Maintain Consistent Context:
  Combine the personality context with any retrieved information. For instance, after retrieving documents, pass the personality details along into the next prompt so that even if additional information is brought in, your agent’s character is not lost.

3. Debugging Unreliable Answers

If the agent is providing inaccurate responses (“making up bs answers”), consider these steps:

• Test Your Prompt Settings:
  Experiment with different layouts in your prefix and system messages to ensure the personality context is prominent. Sometimes reordering or rephrasing can help the language model remain focused.

• Inspect Intermediate Steps:
  Use the Return Intermediate Steps option to see what context or prompts are actually being processed. This can help you determine if the personality file content is being lost between iterations.

• Ensure Consistent Input Fields:
  Validate that your incoming data (such as the user’s prompt) is passed correctly and that any variables (like {{input}} in your Human Message) aren’t empty or replaced inconsistently.

By refining your prompt settings and adjusting your workflow so that personality injection is always applied regardless of retrievals, you should see more consistent behavior from your agent.

Hope this helps steer your creative project in the right direction!