Anthropic messages — wildcard (Cursor mount)
Cursor mount of the Anthropic messages wildcard (POST /anthropic/v1/messages/{path}).
Routes extended Anthropic messages endpoints (e.g. batches, count tokens)
through Cursor.
AuthorizationBearer <token>
Bearer token authentication. Use your MPilot virtual-key JWT or admin JWT.
Virtual keys (prefixed with sk-bf-) can also be passed here.
In: header
Path Parameters
pathstring
modelstring
Model identifier (e.g., claude-3-opus-20240229)
max_tokensinteger
Maximum tokens to generate
messagesarray<AnthropicMessage>
List of messages in the conversation
system?string | array<AnthropicContentBlock>
System prompt
cache_control?CacheControl
Automatic caching directives for the whole request
metadata?object
stream?boolean
Whether to stream the response
temperature?number
Range
0 <= value <= 1top_p?number
top_k?integer
stop_sequences?array<string>
tools?array<object>
tool_choice?object
mcp_servers?array<object>
MCP servers configuration (requires beta header)
thinking?object
output_format?object
Structured output format (requires beta header)
Empty Object
fallbacks?array<string>
Response Body
curl -X POST "https://loading/{AI_GATEWAY_URL}/cursor/v1/messages/string" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-3-opus-20240229", "max_tokens": 0, "messages": [ { "role": "user", "content": "string" } ] }'{
"id": "string",
"type": "message",
"role": "assistant",
"content": [
{
"type": "text",
"text": "string",
"thinking": "string",
"signature": "string",
"data": "string",
"tool_use_id": "string",
"id": "string",
"name": "string",
"input": {},
"server_name": "string",
"content": "string",
"source": {
"type": "base64",
"media_type": "string",
"data": "string",
"url": "string"
},
"cache_control": {
"type": "ephemeral",
"ttl": "string"
},
"citations": {
"enabled": true
},
"context": "string",
"title": "string"
}
],
"model": "string",
"stop_reason": "end_turn",
"stop_sequence": "string",
"usage": {
"input_tokens": 0,
"output_tokens": 0,
"cache_creation_input_tokens": 0,
"cache_read_input_tokens": 0,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 0
}
}
}{
"type": "error",
"error": {
"type": "string",
"message": "string"
}
}{
"type": "error",
"error": {
"type": "string",
"message": "string"
}
}