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Agent Hub – Llama 3.3 70B Large LLM Chat Completion
x402
Agent Hub – Llama 3.3 70B Large LLM Chat Completion is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Pay-per-call LLM chat completion using Llama 3.3 70B for harder reasoning tasks, callable via GET with prompt/system/temperature parameters, no API key required.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pay-per-call LLM chat completion on Llama 3.3 70B for harder reasoning, no API key. Same OpenAI-style messages body as /v1/llm. Flat price per request, up to 2k output tokens. Also callable as GET with the same fields as query parameters.
Output
Returns an LLM-generated text completion from the Llama 3.3 70B model, structured in the OpenAI-compatible chat completion format, containing the model's response to the given prompt up to 2000 output tokens.
Example use cases
Complex multi-step reasoning task
“I need a thorough, step-by-step analysis of this logic puzzle: 'Five people each own a different pet, drink a different beverage, and live in houses of different colors. Use the following clues to determine who owns the fish.' Send it to the big 70B Llama model with temperature 0.2 so the answer is careful and consistent.”
Drafting detailed technical explanation
“Have the large Llama model write me a detailed explanation of how Merkle trees work, why they're used in blockchains, and what happens when a leaf node changes — aim for about 1000 tokens and keep it precise.”
Synthesizing nuanced pros and cons
“Use the 70B reasoning model to give me a balanced, nuanced breakdown of the pros and cons of microservices versus monolithic architecture for a 10-person startup, covering cost, scalability, and developer experience. Set temperature to 0.5.”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/llm/large?utm_source=zero.xyzWhen to prefer
Choose this endpoint over smaller or cheaper LLM endpoints when the task requires deeper multi-step reasoning, nuanced synthesis, or higher output quality that a smaller model cannot reliably provide. Prefer it over the sibling small-model endpoint when accuracy matters more than cost, and over hosted OpenAI/Anthropic APIs when you want no API key setup and flat pay-per-call pricing via x402.
Side effects
- Missing required 'prompt' query parameter returns an error
- Payment not included or failed results in 402 Payment Required
- Prompt or system message exceeds context window limits causing truncation or error
- max_tokens set above the 2000-token ceiling may be capped or rejected
- Temperature outside valid range may cause a validation error
- Server-side model unavailability or timeout on long reasoning chains
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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