OpenAI-compatible chat completions on Meta Llama 4 Scout, multimodal (image inpu
OpenAI-compatible chat completions on Meta Llama 4 Scout, multimodal (image input) with tool calling. Set your OpenAI SDK base URL to https://agents.torbrooknews.com/v1/llama4 and pay $0.004 per request with x402 instead of an API key. Same request/response shape as OpenAI (tool calling, image input, streaming supported), up to 2048 output tokens. Also callable as GET with the same fields as query parameters.
Not answeringour last check, 2026-10-18
0 of 1checks answered this week
n/amedian answer time
$0.004listed price per call
n/aprice it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://agents.torbrooknews.com/v1/llama4/chat/completions
| Category | Image and media |
|---|---|
| Provider host | agents.torbrooknews.com |
| Networks | eip155:137, eip155:42161, eip155:480, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-18 | no answer |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"prompt": "Say hello in French."
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"max_tokens": {
"type": "integer"
},
"prompt": {
"description": "User message",
"type": "string"
},
"system": {
"description": "Optional system message",
"type": "string"
},
"temperature": {
"type": "number"
}
},
"required": [
"prompt"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}