Chat

The chat is the main interface for communicating with the various language models and agents.

Always keep in mind

All messages and files in the current chat are always part of the context. It is therefore a good idea to use a separate chat for each topic.

Prompt input

Chat messages or prompts are entered via the input field.

Tip

Information on prompt engineering and prompt instructions can be found here: Prompt Engineering

Integrations

In addition to the actual prompt input, the context can be further expanded by:

• Websearch
• File Search
• Artifacts
• MCP Server

These can be enabled or disabled for individual messages in the respective chat.

Messages

The message history develops over time within the conversation between the user and the AI model(s). After each message, the user can use a different model or agent, which of course always receives the entire previous context.

Message options

Messages in the chat have quick actions:

• Regenerate and Message Variants: Using Regenerate, several response variants can be generated, between which you can switch.
• Generate audio: Using Text-to-Speech, the message can be read aloud using the set engine.
• Copy: Copies the entire content of the message to the clipboard.
• Edit and regenerate: The message can be edited afterwards and either saved or regenerated with changes. This is useful if you want to add or change information in the context.
• Branch out: Allows you to branch off at a certain point with all previous messages. This is helpful if, for example, you want to think in different directions.
• Feedback: Feedback on messages is only retained in context, but this allows the user to signal whether a message was good or not.

Sharing and exporting

Message histories can be shared publicly or exported to different file formats.

Sharing

Message histories can be shared via links. To do this, an anonymized, publicly available link is generated that can be accessed by anyone. A QR code can also be created.

Caution

“Public” here means the same visibility as CompanyGPT. If CompanyGPT is only accessible from the company network, “public” also means only within the company network.

Export

Message histories can also be exported. This has the advantage that they can be saved as files in different formats. Histories in JSON format can also be imported again.

To export, you must select a file name and format.

In addition, depending on the file format, the following settings can be made:

• Include endpoint options: The model names are also saved in the information.
• Export all message branches: If there are branches, they can also be exported.
• Sequential or recursive (JSON only): Display of messages within the JSON object, either as a flat list of messages or as a recursive list with nested messages.