Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Send messages to NeuralCleave and receive LLM replies.
curl -X POST http://localhost:7432/api/v1/chat \
-H "Content-Type: application/json" \
-d '{
"message": "What is the capital of France?",
"session_id": "default"
}'
| Field | Type | Required | Description |
|---|---|---|---|
message | string | Yes | The user message |
session_id | string | No | Session identifier (default: "default") |
system_prompt | string | No | Override the system prompt for this request |
stream | boolean | No | Stream the reply via WebSocket (default: false) |
{
"reply": "Paris.",
"session_id": "default",
"tokens_in": 12,
"tokens_out": 3,
"provider": "openai",
"model": "gpt-4o-mini"
}
curl http://localhost:7432/api/v1/sessions
{
"sessions": [
{ "id": "default", "message_count": 42, "last_active": "2026-08-08T14:22:00Z" }
]
}
curl -X DELETE http://localhost:7432/api/v1/sessions/default
# { "cleared": true }
ws://localhost:7432/ws and send:
{ "type": "chat", "message": "Hello", "session_id": "default" }
{ "type": "message_chunk", "text": "Hello" }
{ "type": "message_chunk", "text": " there" }
{ "type": "message_done", "text": "Hello there!" }
curl -X POST http://localhost:7432/api/v1/chat/canvas \
-H "Content-Type: application/json" \
-d '{ "message": "Show me a bar chart of monthly sales", "session_id": "default" }'
canvas_data when the LLM produces chart-compatible output:
{
"reply": "Here is your bar chart.",
"canvas_data": {
"type": "bar",
"labels": ["Jan", "Feb", "Mar"],
"values": [100, 150, 120]
}
}