Let users give installed models individual turns or ordered rounds in a shared conversation. Attribute completed responses and exclude interrupted output from subsequent prompts. Add streaming and cancellation tests, browser coverage for CI, and a guide for the session-only page. Assisted-by: Codex:GPT-6
2.8 KiB
+++ title = "Group chat" weight = 23 toc = true description = "Moderate a shared conversation between installed chat models" categories = ["Features"] +++
Group chat lets you moderate a text conversation between 2–6 participants. Each participant uses an installed chat model and has a unique display name. You can use the same model for multiple participants.
Start a conversation
- Open Chat in the web UI and select Group chat. The page is also available at
/app/group-chat. - Select a model under Model to add, then select Add participant.
- Add at least two participants. Give each participant a unique, nonempty name.
- Enter an Objective, such as “Compare three ways to reduce our application's startup time.”
- Optionally enter a Moderator message and select Add message.
Participants and the objective remain editable until the first model turn. After that turn starts, select New conversation to unlock setup and clear the transcript. The page uses the existing chat permission and chat completions API.
Control turns
Select Give [name] a turn to request one response from that participant. Select Run one round to give every participant one turn, in the displayed order. To repeat that order, set Number of rounds to 1–10 and select Run rounds. You can add moderator messages between runs.
Each request includes the objective, the participant's identity, and all completed contributions with their speakers' names. Other participants' responses appear as shared context, not as the current model's previous assistant responses. Private reasoning is neither displayed nor included in later requests.
The page sends one request at a time. It does not generate responses concurrently. Sequential requests avoid simultaneous generation, but do not unload models or guarantee that only one model remains in memory. Configure model loading and memory limits on your LocalAI server as needed.
Stop or recover from an error
Select Stop to cancel the active request and all remaining turns in the run. A server error, malformed or truncated stream, empty response, or output limit also stops the run. Partial responses remain visible as Incomplete and are excluded from future requests. You can resume with another turn or start a new conversation.
Limits and history
{{% notice note %}} History exists only while this page is open. Leaving the page or reloading clears it and cancels any active request. Group chat does not save conversations or support attachments, tool calls, or automatic speaker selection. {{% /notice %}}
Each request includes the full completed transcript. Long conversations can exceed a model's context window. Start a new conversation when the discussion becomes too long for your selected models. Select Back to Chat to return to normal chat.