{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-sao10k-l3.3-euryale-70b","slug":"sao10k-l3.3-euryale-70b","name":"Sao10K: Llama 3.3 Euryale 70B","type":"model","url":"https://openrouter.ai/models/sao10k~l3.3-euryale-70b","page_url":"https://unfragile.ai/sao10k-l3.3-euryale-70b","categories":["chatbots-assistants"],"tags":["sao10k","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$6.50e-7 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-sao10k-l3.3-euryale-70b__cap_0","uri":"capability://text.generation.language.creative.roleplay.character.generation","name":"creative-roleplay-character-generation","description":"Generates detailed character personas, backstories, and dialogue patterns optimized for creative roleplay scenarios. The model uses instruction-tuning specifically calibrated for character consistency, emotional depth, and narrative coherence across multi-turn conversations. Built on Llama 3.3 70B architecture with fine-tuning weights that prioritize creative expression over factual accuracy constraints, enabling richer character embodiment and improvisation.","intents":["I need an AI character that can maintain consistent personality and backstory across a long roleplay session","I want to generate diverse NPC personalities for a game or interactive fiction without breaking character","I need a model that can improvise dialogue and reactions that feel natural and emotionally appropriate for creative scenarios"],"best_for":["creative writers and game developers building interactive narratives","tabletop RPG facilitators needing dynamic NPC generation","indie game studios prototyping character-driven experiences"],"limitations":["Fine-tuning for creative roleplay may reduce factual accuracy and grounding in real-world knowledge","No built-in memory persistence across sessions — character state must be managed externally via context window","70B parameter size requires significant computational resources; inference latency ~2-5 seconds per response on standard GPU hardware","No native support for multi-character simultaneous roleplay without prompt engineering workarounds"],"requires":["OpenRouter API key with sufficient credits for paid tier access","HTTP client capable of streaming responses (for real-time dialogue generation)","Context window management for maintaining character state (typically 8K-16K tokens)"],"input_types":["text prompts describing character traits or scenario setup","multi-turn conversation history with character dialogue","structured character sheets or personality descriptors"],"output_types":["natural language dialogue and character responses","narrative descriptions of character actions and emotions","structured character metadata (personality traits, emotional state)"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3.3-euryale-70b__cap_1","uri":"capability://text.generation.language.multi.turn.conversational.context.management","name":"multi-turn-conversational-context-management","description":"Maintains semantic coherence and character consistency across extended multi-turn conversations by leveraging Llama 3.3's improved attention mechanisms and context window optimization. The model tracks implicit character state, emotional arcs, and narrative continuity without explicit state management, using transformer-based attention patterns to weight recent dialogue more heavily while preserving long-range dependencies for character consistency.","intents":["I want a character to remember details from earlier in the conversation and reference them naturally","I need dialogue that evolves emotionally and narratively as the conversation progresses","I want to avoid repetitive character responses and maintain narrative momentum across 50+ exchanges"],"best_for":["interactive fiction platforms requiring sustained narrative coherence","chatbot applications where character consistency is critical to user engagement","creative collaboration tools where human-AI dialogue needs to feel natural and progressive"],"limitations":["Context window is finite (~8K-16K tokens typical); very long conversations require external summarization or context pruning","No explicit memory mechanism — relies on implicit attention patterns, which can degrade with extremely long contexts (>20K tokens)","Character drift may occur if conversation deviates significantly from training distribution","No built-in mechanism to explicitly reset or modify character state mid-conversation"],"requires":["OpenRouter API access with streaming support for real-time response generation","Client-side conversation history management (array of message objects with role and content)","Token counting utility to monitor context window usage and prevent overflow"],"input_types":["conversation history as array of {role, content} message pairs","system prompts defining character traits and narrative constraints","user messages with optional metadata (timestamp, emotional tone)"],"output_types":["natural language responses maintaining character voice and emotional continuity","implicit state updates reflected in dialogue tone and reference patterns","narrative progression indicators (character emotional state, relationship changes)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3.3-euryale-70b__cap_2","uri":"capability://text.generation.language.creative.constraint.guided.generation","name":"creative-constraint-guided-generation","description":"Generates text that adheres to creative constraints (genre conventions, tone requirements, narrative structure) specified in system prompts or inline instructions. The model uses instruction-tuning to interpret and respect soft constraints (e.g., 'write in noir style', 'maintain comedic tone') without explicit control tokens, relying on semantic understanding of constraint language rather than hard-coded rule systems.","intents":["I want to generate dialogue that stays within a specific genre or narrative style without breaking immersion","I need the model to respect tone constraints (dark, comedic, romantic) consistently across multiple responses","I want to guide creative output toward specific narrative outcomes without using explicit prompt injection"],"best_for":["game writers defining NPC dialogue within genre-specific worlds","creative writing tools requiring style consistency across generated content","interactive storytelling platforms with narrative constraints"],"limitations":["Constraint adherence is probabilistic, not deterministic — edge cases may violate specified constraints","Complex or conflicting constraints may be misinterpreted or partially ignored","No explicit constraint validation — requires human review to ensure adherence","Fine-tuning for creative roleplay may reduce ability to follow strict factual or technical constraints"],"requires":["Well-crafted system prompts that clearly articulate creative constraints in natural language","OpenRouter API access with sufficient context window for constraint specification","Human review loop for validating constraint adherence in critical applications"],"input_types":["system prompts with creative constraints (genre, tone, style, narrative structure)","user prompts requesting specific creative outputs","optional constraint metadata (e.g., 'tone: dark', 'genre: cyberpunk')"],"output_types":["constrained creative text (dialogue, narrative, descriptions)","metadata indicating constraint adherence confidence (implicit in response quality)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3.3-euryale-70b__cap_3","uri":"capability://text.generation.language.streaming.response.generation","name":"streaming-response-generation","description":"Generates text responses in real-time token-by-token streaming format via OpenRouter's HTTP streaming API, enabling low-latency interactive experiences. The model outputs tokens sequentially as they are generated, allowing client applications to display partial responses and provide perceived responsiveness without waiting for full generation completion. Streaming is implemented via HTTP chunked transfer encoding with Server-Sent Events (SSE) protocol.","intents":["I want to display character dialogue in real-time as it's being generated, not wait for the full response","I need to build interactive experiences where users see immediate feedback from the model","I want to reduce perceived latency in conversational interfaces by showing partial responses"],"best_for":["web-based interactive fiction and roleplay platforms","real-time chatbot interfaces requiring immediate user feedback","game engines integrating AI dialogue with streaming display"],"limitations":["Streaming adds complexity to client-side implementation (requires SSE or WebSocket handling)","Token-by-token streaming may produce grammatically incomplete intermediate states visible to users","No ability to revise or edit tokens after they've been streamed to the client","Streaming latency varies with network conditions; not suitable for latency-critical applications"],"requires":["HTTP client with streaming/chunked transfer support (fetch API with ReadableStream, axios, etc.)","Server-Sent Events (SSE) or WebSocket handler for consuming streamed tokens","OpenRouter API key with streaming endpoint access"],"input_types":["standard conversation/prompt inputs (same as non-streaming)","optional streaming parameters (chunk size, timeout)"],"output_types":["streamed text tokens (individual characters or subword tokens)","metadata events (start, end, error states)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3.3-euryale-70b__cap_4","uri":"capability://tool.use.integration.api.based.inference.with.pay.per.token.pricing","name":"api-based-inference-with-pay-per-token-pricing","description":"Provides access to the Euryale 70B model via OpenRouter's managed API infrastructure with granular pay-per-token billing. Requests are routed through OpenRouter's load-balanced inference cluster, abstracting away model deployment, scaling, and infrastructure management. Pricing is calculated based on input and output tokens consumed, with no subscription or minimum commitments required.","intents":["I want to use a powerful 70B model without managing my own GPU infrastructure","I need flexible, usage-based pricing that scales with my application's demand","I want to avoid vendor lock-in by using an API aggregator that supports multiple model providers"],"best_for":["indie developers and small teams without GPU infrastructure","applications with variable or unpredictable inference demand","teams evaluating multiple models before committing to a specific provider"],"limitations":["API-based inference introduces network latency (~200-500ms per request) compared to local inference","Pay-per-token pricing can become expensive at scale (70B models cost significantly more than smaller alternatives)","Dependent on OpenRouter's service availability and uptime; no SLA guarantees for free tier","Rate limiting may apply; concurrent request limits depend on account tier","No fine-tuning or model customization available through API"],"requires":["OpenRouter account with API key","Payment method on file (credit card or prepaid credits)","HTTP client for making API requests","Network connectivity to OpenRouter's API endpoints"],"input_types":["JSON request bodies with conversation history and generation parameters","optional system prompts and model configuration"],"output_types":["JSON responses with generated text and usage metadata (input/output token counts)","streaming responses with Server-Sent Events (SSE)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"high","permissions":["OpenRouter API key with sufficient credits for paid tier access","HTTP client capable of streaming responses (for real-time dialogue generation)","Context window management for maintaining character state (typically 8K-16K tokens)","OpenRouter API access with streaming support for real-time response generation","Client-side conversation history management (array of message objects with role and content)","Token counting utility to monitor context window usage and prevent overflow","Well-crafted system prompts that clearly articulate creative constraints in natural language","OpenRouter API access with sufficient context window for constraint specification","Human review loop for validating constraint adherence in critical applications","HTTP client with streaming/chunked transfer support (fetch API with ReadableStream, axios, etc.)"],"failure_modes":["Fine-tuning for creative roleplay may reduce factual accuracy and grounding in real-world knowledge","No built-in memory persistence across sessions — character state must be managed externally via context window","70B parameter size requires significant computational resources; inference latency ~2-5 seconds per response on standard GPU hardware","No native support for multi-character simultaneous roleplay without prompt engineering workarounds","Context window is finite (~8K-16K tokens typical); very long conversations require external summarization or context pruning","No explicit memory mechanism — relies on implicit attention patterns, which can degrade with extremely long contexts (>20K tokens)","Character drift may occur if conversation deviates significantly from training distribution","No built-in mechanism to explicitly reset or modify character state mid-conversation","Constraint adherence is probabilistic, not deterministic — edge cases may violate specified constraints","Complex or conflicting constraints may be misinterpreted or partially ignored","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.24,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.35,"quality":0.2,"ecosystem":0.1,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:24.485Z","last_scraped_at":"2026-05-03T15:20:45.776Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=sao10k-l3.3-euryale-70b","compare_url":"https://unfragile.ai/compare?artifact=sao10k-l3.3-euryale-70b"}},"signature":"kr7RR2vTne1xAWQ51d8EsON4s1G0gV7Xur9vRCKPbHx7CXhAm4YXBjdCi73QGHUbYRS/Uj5aa6u0efVPTGkcCA==","signedAt":"2026-06-20T19:00:23.037Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/sao10k-l3.3-euryale-70b","artifact":"https://unfragile.ai/sao10k-l3.3-euryale-70b","verify":"https://unfragile.ai/api/v1/verify?slug=sao10k-l3.3-euryale-70b","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}