{"uid":"cap_Wjcosj7H8rDRoqtutCzIQ","slug":"skill-audit-llm-chat-completion-f27d53f7","name":"skill-audit LLM Chat Completion","description":"Run a chat completion against an open-weight 20B-class model — plain prompt in, text out, with automatic failover across independent inference backends so a single call still answers when any one provider is down or rate-limiting","url":"https://eltociear-skill-audit.hf.space/llm/chat","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"prompt":{"type":"string","description":"The user prompt"},"system":{"type":"string","description":"Optional system instruction"},"max_tokens":{"type":"integer","description":"1-4000 (default 800)"},"temperature":{"type":"number","description":"0-2 (default 0.3)"}}},"responseSchema":{"type":"json","example":{"usage":{"ms":740,"total_tokens":210},"answer":"EIP-3009 lets a holder sign an off-chain authorization…","provider":"llm7"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.25","reviews":0,"stars":null,"state":"rated"},"availabilityStatus":"unknown","priceObserved":{"p10Cents":"2.0000","medianCents":"2.0000","p90Cents":"2.0000","minCents":"2.0000","maxCents":"2.0000","p95Cents":"2.0000","sampleCount":1,"varies":false,"failureChargeRate":null},"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_6PcEWm3BN6u4Q-f5kkYPN","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Run a prompt against an open-weight 20B-class language model with automatic failover across multiple inference backends, returning generated text.","exampleAgentPrompt":"Send this prompt to the open-weight LLM with a system instruction saying 'You are a concise technical assistant' and generate up to 1000 tokens: 'Explain the difference between TCP and UDP in plain language.'","exampleUseCases":[{"title":"Automated content drafting pipeline","prompt":"Use the open-weight LLM to draft a short product description for 'EcoBottle Pro', a stainless steel water bottle — keep the system instruction as 'You are a marketing copywriter' and limit the response to 300 tokens."},{"title":"Fallback LLM for resilient agent workflows","prompt":"My main LLM provider keeps hitting rate limits — can you run this customer support prompt through the multi-backend open-weight model instead? System: 'You are a helpful customer support agent.' Prompt: 'How do I reset my account password?'"},{"title":"Code explanation with custom persona","prompt":"Ask the 20B model to explain what this Python snippet does, using a temperature of 0.2 and a system instruction of 'You are a senior software engineer': 'def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)'"}],"resultDescription":"A plain text string containing the model's generated response to the supplied prompt, produced by an open-weight 20B-class model routed through whichever inference backend is currently available and not rate-limited.","failureModes":["All inference backends simultaneously unavailable or overloaded — returns an error with no generated text","Prompt or system string exceeds model context window — may return truncated output or an error","max_tokens set to 0 or above 4000 — likely rejected with a validation error","temperature outside 0-2 range — may cause unexpected behavior or rejection","Empty or missing prompt field — likely returns an error or empty response","Payment of $0.02 USDC not fulfilled — request rejected by x402 payment gate"],"whenToPreferThis":"Choose this endpoint when you need reliable open-weight LLM inference and cannot tolerate downtime from a single provider — the automatic multi-backend failover ensures continuity even when individual inference providers are down or rate-limiting. Prefer it over direct model API calls when resilience matters more than latency optimization, or when you want to avoid vendor lock-in with a pay-per-call model at $0.02 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":5,"lastUsedAt":"2026-08-19T22:56:20.150Z","lastSuccessfullyRanAt":"2026-08-19T22:56:03.337Z","lastHealthCheckAt":"2026-09-15T06:40:16.275Z","isFirstParty":false}