{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-sao10k-l3-euryale-70b","slug":"sao10k-l3-euryale-70b","name":"Sao10k: Llama 3 Euryale 70B v2.1","type":"model","url":"https://openrouter.ai/models/sao10k~l3-euryale-70b","page_url":"https://unfragile.ai/sao10k-l3-euryale-70b","categories":["chatbots-assistants"],"tags":["sao10k","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$1.48e-6 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-sao10k-l3-euryale-70b__cap_0","uri":"capability://text.generation.language.creative.roleplay.text.generation.with.character.adherence","name":"creative-roleplay-text-generation-with-character-adherence","description":"Generates extended narrative and dialogue text optimized for creative roleplay scenarios, using fine-tuning techniques that prioritize strict adherence to user-defined character personas, narrative constraints, and stylistic directives. The model maintains character consistency across multi-turn conversations through specialized attention mechanisms trained on curated roleplay datasets, enabling writers and game designers to generate contextually appropriate character responses without deviation from established personality traits or narrative rules.","intents":["Generate consistent character dialogue that stays true to a defined persona across multiple exchanges","Create narrative prose for creative writing projects with specific tone and style requirements","Build interactive fiction or text-based game responses that respect world-building constraints","Produce roleplay content where character boundaries and behavioral rules must be strictly maintained"],"best_for":["creative writers and fiction authors building interactive narratives","tabletop RPG game masters and players generating character dialogue","interactive fiction developers building choice-based games","indie game developers creating text-based adventure games"],"limitations":["Fine-tuned specifically for creative roleplay; may underperform on technical, analytical, or code-generation tasks","Requires detailed character/world context in prompts to maintain adherence; vague prompts may produce generic output","No built-in memory persistence across sessions; requires external conversation history management for multi-session roleplay","70B parameter size requires significant computational resources; inference latency may be 2-5 seconds per response depending on provider infrastructure"],"requires":["API access via OpenRouter or compatible provider","Valid API key with sufficient credits/quota","Network connectivity to OpenRouter infrastructure","Prompt engineering expertise to define character constraints and narrative rules effectively"],"input_types":["text (natural language prompts with character descriptions)","structured text (character sheets, world-building documents, narrative context)"],"output_types":["text (narrative prose, dialogue, character responses)","structured text (formatted dialogue with character tags)"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3-euryale-70b__cap_1","uri":"capability://text.generation.language.anatomically.aware.spatial.reasoning.for.narrative.description","name":"anatomically-aware-spatial-reasoning-for-narrative-description","description":"Generates descriptions of physical scenes, character positioning, and spatial relationships with improved anatomical accuracy and coherence, using enhanced spatial reasoning trained on detailed descriptive text. The model understands human anatomy, object placement, and environmental layout constraints, enabling it to produce physically plausible descriptions of character interactions, combat scenes, and environmental details without anatomical inconsistencies or spatial contradictions that would break narrative immersion.","intents":["Generate physically accurate descriptions of character positioning and movement in narrative scenes","Create detailed combat or action sequences with coherent spatial relationships between characters","Produce environmental descriptions with logically consistent object placement and layout","Write intimate or detailed character descriptions that maintain anatomical accuracy"],"best_for":["creative writers describing complex action sequences or physical interactions","game designers writing detailed scene descriptions for visual novels or text adventures","authors of adult or mature content requiring anatomically accurate descriptions","worldbuilders creating detailed environmental and character descriptions"],"limitations":["Spatial reasoning improvements are relative to base models; complex 3D spatial scenarios may still produce inconsistencies","Anatomical accuracy is limited to training data; rare or specialized anatomical scenarios may not be handled correctly","No real-time visualization or validation; spatial descriptions are text-only and require human review for complex scenarios","Performance degrades with extremely long or complex multi-character scenes requiring simultaneous spatial tracking"],"requires":["API access via OpenRouter","Valid API credentials","Detailed spatial context in prompts for optimal results"],"input_types":["text (scene descriptions, character positioning instructions, spatial constraints)"],"output_types":["text (narrative descriptions with spatial coherence)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3-euryale-70b__cap_2","uri":"capability://text.generation.language.adaptive.style.transfer.for.custom.narrative.voices","name":"adaptive-style-transfer-for-custom-narrative-voices","description":"Adapts generated text to match custom narrative voices, writing styles, and tonal requirements specified in prompts, using style-aware fine-tuning that enables the model to learn and replicate unique authorial voices, dialect patterns, and genre-specific conventions. The model analyzes style descriptors and examples to adjust vocabulary, sentence structure, pacing, and tone without requiring explicit style templates, allowing writers to generate content that seamlessly matches their established voice or a target style.","intents":["Generate text in a specific author's voice or writing style based on examples or descriptions","Create content matching a particular genre's conventions (noir, fantasy, sci-fi, etc.)","Adapt character dialogue to match regional dialects, speech patterns, or linguistic quirks","Maintain consistent narrative voice across generated content for a series or collection"],"best_for":["authors maintaining consistent voice across multiple works or collaborative projects","content creators adapting AI-generated text to match their established brand voice","game writers creating dialogue for characters with distinct speech patterns","translators and localization specialists adapting content for cultural/linguistic contexts"],"limitations":["Style adaptation quality depends on clarity and specificity of style instructions; vague style descriptions produce inconsistent results","Cannot learn entirely new styles from single examples; requires multiple examples or detailed descriptions for accurate style replication","Style transfer may conflict with other constraints (e.g., maintaining character consistency while adopting a new narrative voice)","Subtle stylistic elements (rhythm, subtext, implicit tone) are harder to replicate than explicit vocabulary and grammar choices"],"requires":["API access via OpenRouter","Valid API credentials","Style examples or detailed style descriptions in prompts"],"input_types":["text (style descriptions, writing samples, narrative voice guidelines)"],"output_types":["text (styled narrative content matching specified voice)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3-euryale-70b__cap_3","uri":"capability://text.generation.language.multi.turn.conversation.with.extended.context.coherence","name":"multi-turn-conversation-with-extended-context-coherence","description":"Maintains coherent, consistent responses across extended multi-turn conversations by tracking narrative state, character consistency, and contextual details across conversation history. The model uses context windowing and attention mechanisms to preserve established facts, character traits, and narrative threads across dozens of exchanges without requiring explicit state management, enabling natural back-and-forth dialogue in roleplay and interactive fiction scenarios.","intents":["Maintain character consistency and personality across 20+ turns of conversation","Track established facts and narrative details without explicit reminders in each prompt","Generate responses that reference and build upon previous exchanges naturally","Preserve world-building details and plot threads across extended roleplay sessions"],"best_for":["interactive fiction developers building multi-turn dialogue systems","roleplay platforms and communities requiring extended conversation coherence","game masters running text-based RPG sessions with multiple exchanges per scene","chatbot developers building character-driven conversational experiences"],"limitations":["Context window is finite (typically 4K-8K tokens); very long conversations may lose early context","No persistent memory across separate conversation sessions; each new session starts without prior conversation history","Coherence degrades with extremely long conversations (100+ turns) as context becomes diluted","Requires conversation history to be passed with each request; no built-in session management or conversation storage"],"requires":["API access via OpenRouter","Valid API credentials","Conversation history management on client side","Token budget sufficient for context window size (typically 4K-8K tokens per request)"],"input_types":["text (conversation history, new user message, system prompts)"],"output_types":["text (model response continuing conversation)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-sao10k-l3-euryale-70b__cap_4","uri":"capability://tool.use.integration.api.based.inference.with.provider.abstraction","name":"api-based-inference-with-provider-abstraction","description":"Provides access to the 70B model through OpenRouter's API infrastructure, abstracting away model deployment, scaling, and infrastructure management. Requests are routed through OpenRouter's load-balanced endpoints, enabling pay-per-token usage without requiring local GPU resources, with automatic failover and provider selection across multiple backend providers. The API accepts standard text prompts and returns streamed or batch responses with configurable sampling parameters (temperature, top-p, max-tokens).","intents":["Access a large 70B model without managing local GPU infrastructure or deployment","Integrate the model into applications via REST API calls with standard HTTP clients","Scale inference across multiple requests without worrying about resource allocation","Use the model on-demand with pay-per-token pricing without upfront infrastructure costs"],"best_for":["indie developers and small teams without GPU infrastructure","applications requiring occasional or variable-load inference","prototypes and MVPs that need quick model integration without deployment overhead","teams building multi-model applications that need provider abstraction"],"limitations":["API latency is higher than local inference; typical response time is 2-5 seconds depending on prompt length and load","Requires internet connectivity; cannot be used offline or in air-gapped environments","API rate limits and quota restrictions apply; high-volume applications may hit rate limits","No fine-tuning or model customization available through API; only inference on base model","Pricing is per-token; high-volume usage can become expensive compared to self-hosted inference"],"requires":["OpenRouter API key (obtainable via ko-fi or direct signup)","Network connectivity to OpenRouter infrastructure","HTTP client library (curl, requests, axios, etc.)","Sufficient API credits/quota for intended usage"],"input_types":["text (natural language prompts, conversation history)"],"output_types":["text (model response, optionally streamed)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"low","permissions":["API access via OpenRouter or compatible provider","Valid API key with sufficient credits/quota","Network connectivity to OpenRouter infrastructure","Prompt engineering expertise to define character constraints and narrative rules effectively","API access via OpenRouter","Valid API credentials","Detailed spatial context in prompts for optimal results","Style examples or detailed style descriptions in prompts","Conversation history management on client side","Token budget sufficient for context window size (typically 4K-8K tokens per request)"],"failure_modes":["Fine-tuned specifically for creative roleplay; 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