Mindview

Learn how to use the Mindview feature to review the actual prompts to the LLM for your current or previous sessions and interactions.

Introduction

The Mindview section provides visibility into the prompt that was sent to the model to generate your character’s response. It’s a powerful tool for:

  • Understanding how your character processes context.

  • Improving your Character Description, Knowledge Bank, and Language Settings.

  • Troubleshooting unexpected or inconsistent responses.


Accessing Mindview

You can open the Mindview tab directly from the left navigation menu of the Convai Playground.

When first opening it, you’ll be asked to select a conversation or interaction from the Memory tab. Alternatively, you can start a new conversation — Mindview will automatically display the data for the latest message.

To access Mindview for a previous interaction:

  1. Navigate to the Memory tab.

  2. Expand the desired session.

  3. Click the Mindview icon next to any message to open its corresponding prompt view.


Understanding the Mindview Interface

Once opened, you’ll see a structured view of how the model interpreted and responded to an input.

Header Information

At the top of the screen, the following details are displayed:

  • Session ID – Identifies which session the interaction belongs to.

  • Model Name – Shows the LLM used to generate the response.

  • User Query – Displays the exact message or query that initiated this prompt.

Main Prompt Section

This is the core of Mindview. It shows the entire chain of messages (System, Assistant, and User) that formed the complete prompt sent to the model.

Each section provides insight into how the model understands the character’s context and instructions before producing a response.


What Influences the Main Prompt

The main prompt displayed in Mindview is dynamically constructed using multiple aspects of your character and session:

Source
Description

Character Description

Defines the character’s backstory and core context. Appears within <back-story> ... </back-story> tags.

Language and Speech

Includes the allowed languages and relevant speech configuration.

Personality Traits

Controls the conversational tone, emotion, and formality level of the character.

Narrative Design

Incorporates objectives or context from active Narrative Design sections into the user’s input.

Knowledge Bank

Adds relevant external knowledge to improve factual accuracy or domain-specific responses.

Long-Term Memory

Injects persistent information learned across sessions, when applicable.


Use Cases

  • Debug and refine how your character’s prompt is constructed.

  • Identify missing or conflicting information within the character setup.

  • Validate that the right Knowledge Bank, Personality Traits, and Narrative Design data are being included in responses.


Conclusion

The Mindview tab gives creators deep transparency into the inner workings of Convai’s character response generation. By analyzing prompts and understanding how context is layered, you can fine-tune your characters for more consistent, accurate, and personality-aligned interactions.

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