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Llama-3.1-8B-Instruct Chat Completion (ari001)
x402
Llama-3.1-8B-Instruct Chat Completion (ari001) is a paid API for AI agents from ari001.tailb4ac3a.ts.net, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-19).
Runs OpenAI-style chat completions using the Llama-3.1-8B-Instruct model, returning the assistant message, model name, and token usage.
Price / call$0.003
Success—
StatusUnknown
Output
Returns a JSON object with: a boolean 'ok' field, the assistant's reply as a message object with role='assistant' and a content string, the model name string, token usage (prompt_tokens and completion_tokens), and a service identifier string. On failure, returns ok=false with an error string.
Example use cases
Automated customer support draft replies
“I have a customer message that says 'My order hasn't arrived after 2 weeks, what do I do?' — use Llama-3.1-8B-Instruct to draft a polite, helpful support reply in under 200 tokens.”
Code explanation for developer tools
“Send this Python snippet to Llama 3.1 8B and ask it to explain what it does in plain English, keeping the response under 512 tokens: 'def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)'”
Agentic reasoning step for a pipeline
“I need Llama-3.1-8B to act as a reasoning assistant: given the system message 'You are a helpful planner' and the user message 'List 5 steps to launch a newsletter', return the plan with max 1024 tokens.”
Technical details
Endpoint
POSThttps://ari001.tailb4ac3a.ts.net/v1/ventures/llm_chat_api/llama3_1_8b?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost open-source LLM inference call using the Llama-3.1-8B-Instruct model with an OpenAI-compatible message format. Prefer it over the sibling Qwen3-32B endpoint when you want a smaller, faster model and lower per-call cost. Ideal for pipelines that need many lightweight reasoning or generation steps. Best when total conversation context fits within 16,000 characters and response length is under 1024 tokens.
Side effects
- Message array exceeds 32 items — request rejected
- Total message content exceeds ~16,000 characters — likely truncated or rejected
- max_tokens above 1024 — clamped or rejected by validation
- Empty messages array — validation error
- Payment not attached or insufficient USDC — x402 payment required error
- Model temporarily unavailable — service error returned with ok=false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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