{"uid":"cap_nnnHewVsBj2uScKABMPuU","slug":"llama-3-1-8b-instruct-chat-completions-ari001-11a1db88","name":"Llama-3.1-8B-Instruct Chat Completions (ari001)","description":"","url":"https://ari001.tailb4ac3a.ts.net/v1/ventures/llm_chat_api/llm_chat_llama3_1_8b?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["messages"],"properties":{"messages":{"type":"array","items":{"type":"object","required":["role","content"],"properties":{"role":{"enum":["system","user","assistant"]},"content":{"type":"string"}}},"maxItems":32,"minItems":1},"max_tokens":{"type":"integer","maximum":1024,"minimum":1}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean"},"error":{"type":"string","description":"present when ok is false"},"model":{"type":"string"},"usage":{"type":"object","properties":{"prompt_tokens":{"type":["integer","null"]},"completion_tokens":{"type":["integer","null"]}}},"method":{"type":"string"},"message":{"type":"object","properties":{"role":{"const":"assistant"},"content":{"type":"string"}}},"service":{"type":"string"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_oJDesRO5V5TY8Z2mj8wEP","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a user-supplied message thread through Meta's Llama-3.1-8B-Instruct model and returns the assistant reply, model name, and token usage in OpenAI-compatible format.","exampleAgentPrompt":"Ask Llama-3.1-8B-Instruct to explain the difference between supervised and unsupervised learning in two paragraphs — use a system prompt that says 'You are a concise ML tutor' and cap the response at 512 tokens.","exampleUseCases":[{"title":"Automated customer FAQ drafting","prompt":"I need you to use the Llama 3.1 8B model to draft a friendly reply to this customer question: 'How do I reset my password?' — keep it under 200 words and use a helpful, professional tone."},{"title":"Code explanation for non-technical users","prompt":"Take this Python snippet and have Llama-3.1-8B explain what it does in plain English for someone with no coding background, in at most 300 tokens: `for i in range(10): print(i**2)`"},{"title":"On-device privacy-safe content moderation","prompt":"I want to classify whether this user comment is appropriate or not using Llama 3.1 8B — the comment is 'This product is absolute garbage and anyone who buys it is an idiot.' Give me a verdict and a one-sentence reason, max 100 tokens."}],"resultDescription":"Returns a JSON object with: ok (boolean), message (object with role='assistant' and the generated content string), model (the Llama model identifier), and usage (prompt_tokens and completion_tokens integers). On failure, ok is false and an error string is included.","failureModes":["Message array exceeds 16,000 total characters — request rejected","max_tokens exceeds 1024 — validation error","Missing required 'messages' field — 400 bad request","Empty messages array (minItems:1 violated) — validation error","Payment not included or insufficient — x402 payment required error","Model overloaded or host unreachable — 5xx or timeout"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, fast, open-source LLM (8B parameters) for chat completions without relying on OpenAI or Anthropic, especially when cost sensitivity matters ($0.003/call), when you want a pay-per-request model with no subscription, or when your workflow explicitly targets Meta's Llama-3.1-8B-Instruct capabilities. Prefer the sibling Qwen3-32B endpoint when you need stronger reasoning or a larger model.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T01:18:39.532Z","isFirstParty":false,"canonicalSlug":"llama-3-1-8b-instruct-chat-completions-ari001-11a1db88"}