chat_completion
ActiveTool of LMX Cloud LLM Inference
Call LMX Cloud OpenAI-compatible chat completions. Prefers a pre-funded API key (Bearer / api_key); when omitted and x402 is enabled, requires a USDC pay-per-call payment. Optional image_url / images enable vision input (OpenAI content-parts format) — use a vision model such as llama-3.2-90b-vision, qwen-3.6-35b, or qwen-3.5-35b.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"prompt"
],
"properties": {
"model": {
"type": "string",
"description": "Optional model name or alias. Uses default if omitted."
},
"images": {
"type": "array",
"items": {
"type": "string",
"minLength": 1
},
"description": "Optional additional images (https URLs or data:image/...;base64,... URIs). Requires a vision-capable model."
},
"prompt": {
"type": "string",
"minLength": 1,
"description": "User prompt to send to the selected model."
},
"api_key": {
"type": "string",
"pattern": "^lmx_[0-9a-f]{32}$",
"description": "Optional LMX API key (lmx_...). Prefer MCP client Authorization header or env; use this to override per call."
},
"image_url": {
"type": "string",
"minLength": 1,
"description": "Optional image as an https URL or data:image/...;base64,... URI. Requires a vision-capable model."
},
"max_tokens": {
"type": "integer",
"maximum": 4096,
"description": "Optional max completion tokens.",
"exclusiveMinimum": 0
},
"temperature": {
"type": "number",
"maximum": 2,
"minimum": 0,
"description": "Optional sampling temperature."
}
},
"additionalProperties": false
}Parent server
LMX Cloud LLM Inference
1/7 registries