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Creates a new message in a specific AI thread and runs the AI engine to produce a response.
| Permission | Description |
|---|---|
ai_thread_messages.create | Create messages in your own thread |
| Name | Type | Required | Description | Example |
|---|---|---|---|---|
| thread-id | int | Yes | ID of the thread | 123 |
| Name | Type | Required | Description | Example |
|---|---|---|---|---|
| content | string | Yes | Content of the message (max 5000 chars) | "Hello!" |
| context | string | No | Screen-context data as a JSON string (read-only for the AI) | "{ ... }" |
| interactive | boolean | No | Opt into real-time tool-call progress events and tool confirmations (default false) | true |
| attachments | file[] | No | Up to 5 files as multipart uploads | - |
| attachments.* | file | No | image/jpeg, image/png, image/webp, or application/pdf; max 10 MB each | photo.jpg |
Attachments require the request to be sent as multipart/form-data; all other fields work in both JSON and multipart encodings. Images are passed to the model as vision input; PDF text is extracted server-side and injected into the conversation.
{
"content": "Hello!",
"context": "{ \"page\": [\"gymView\", 123], \"form\": { \"field\": \"value\" } }",
"interactive": true
}
Multipart example (with attachments):
POST /api/v1/ai/threads/123/messages
Content-Type: multipart/form-data
content=Check out my progress photo
attachments[]=@photo.jpg
attachments[]=@report.pdf
Returns the created message and the AI's response message.
{
"createdMessage": { /* ai thread message resource */ },
"responseMessage": { /* ai thread message resource */ }
}
For a full schema, see AI Thread Message Resource.
responseMessage.status is normally "completed". In an interactive run that hit a confirmation-required tool it is "pending_confirmation": the run is paused and must be resolved via POST .../tool-confirmations.interactive: true, per-tool-call progress events broadcast on the user's private channel while the request is processing: see Broadcasting and the AiToolCallProgress payload in the broadcasting docs.responseMessage.updated_context is deprecated and always null for new messages.| Status | Description | Reference |
|---|---|---|
| 422 | Validation error (including too many attachments, oversized files, or disallowed MIME types) | Validation error |
| 401 | Unauthorized | Authentication error |
| 403 | Forbidden (no permission) | Permission error |
| 429 | AI usage budget exceeded: the user's rolling 24-hour AI spend (USD) reached their tier budget | |
| 429 | Rate limit: more than 30 requests per minute to this endpoint | Rate limit error |
Two distinct 429s. The budget refusal carries the spend-limit message and is decided per user over a rolling 24-hour window; the rate limit is
throttle:30,1and is decided per minute. A client should back off on either, but only the second is retryable within the hour.
The AI system uses OpenAI APIs behind the scenes. It handles reading Dambel documentation files, searching the web or reading a specific web page, saving memories for each user and accessing them in other chats, reading data from Dambel's database, analyzing attached images and PDF documents, and even reporting the conversation whenever necessary. Once it finishes its tool calls, it returns the final response to the message. Usage is metered by USD spend over a rolling 24-hour window, with separate budgets for free and premium users.