{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-inflection-inflection-3-pi","slug":"inflection-inflection-3-pi","name":"Inflection: Inflection 3 Pi","type":"model","url":"https://openrouter.ai/models/inflection~inflection-3-pi","page_url":"https://unfragile.ai/inflection-inflection-3-pi","categories":["chatbots-assistants"],"tags":["inflection","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$2.50e-6 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-inflection-inflection-3-pi__cap_0","uri":"capability://text.generation.language.conversational.ai.with.emotional.intelligence","name":"conversational-ai-with-emotional-intelligence","description":"Inflection 3 Pi implements a conversational model trained with emotional intelligence patterns, enabling it to recognize user sentiment, adapt tone dynamically, and respond with empathy in dialogue contexts. The model uses reinforcement learning from human feedback (RLHF) to calibrate responses for emotional appropriateness rather than just factual accuracy, allowing it to handle sensitive topics, provide encouragement, and maintain rapport across extended conversations.","intents":["I need a chatbot that understands when users are frustrated or upset and responds with appropriate empathy","I want to build a customer support agent that can de-escalate tense situations through tone and acknowledgment","I need an AI assistant that can provide emotional support and encouragement alongside practical advice"],"best_for":["customer support teams building empathetic support bots","mental health and wellness app developers","teams building conversational AI for sensitive domains (grief counseling, financial stress, etc.)"],"limitations":["Emotional intelligence is probabilistic and context-dependent — may misread sarcasm or cultural nuances","Cannot replace professional mental health services; designed for supportive conversation, not therapy","Performance degrades with extremely brief or ambiguous user inputs lacking emotional cues"],"requires":["API access via OpenRouter or direct Inflection API","Conversation history context (recommended 5-10 prior exchanges for optimal emotional tracking)","Text input in English or supported languages"],"input_types":["text (conversational messages with emotional content)"],"output_types":["text (conversational responses with tone-matched emotional framing)"],"categories":["text-generation-language","conversational-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_1","uri":"capability://text.generation.language.real.time.news.aware.context.injection","name":"real-time-news-aware-context-injection","description":"Inflection 3 Pi integrates access to recent news and current events data, allowing it to ground responses in up-to-date information rather than relying solely on training data cutoffs. The model uses a retrieval-augmented generation (RAG) pattern where recent news is fetched and injected into the context window at inference time, enabling accurate responses about breaking news, recent policy changes, and time-sensitive topics without fine-tuning or retraining.","intents":["I need a chatbot that can discuss current events and recent news without outdated information","I want to build a news-aware assistant that can answer questions about what happened this week","I need an AI that can provide context on recent developments in specific industries or domains"],"best_for":["news aggregation and discussion platforms","customer support for time-sensitive industries (finance, healthcare, tech)","research assistants and knowledge workers needing current information"],"limitations":["News freshness depends on underlying news source update frequency — typically 1-24 hours behind real-time","May hallucinate or conflate similar recent events if news sources are sparse or ambiguous","Context window size limits how much recent news can be injected; very large news datasets require filtering/ranking"],"requires":["API access to Inflection 3 Pi via OpenRouter or direct endpoint","Internet connectivity for real-time news fetching","Optional: custom news source configuration or filtering rules"],"input_types":["text (queries about current events, recent developments, time-sensitive topics)"],"output_types":["text (responses grounded in recent news with citations or source references)"],"categories":["text-generation-language","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_2","uri":"capability://text.generation.language.customer.support.optimized.dialogue","name":"customer-support-optimized-dialogue","description":"Inflection 3 Pi is fine-tuned specifically for customer support scenarios, implementing patterns for issue resolution, escalation detection, and customer satisfaction optimization. The model uses dialogue state tracking to maintain support context across turns, recognize when issues are resolved vs. unresolved, and know when to escalate to human agents. It balances empathy with efficiency, providing clear next steps and avoiding circular conversations.","intents":["I need a support bot that can handle common customer issues without escalating every conversation to humans","I want to detect when a customer is frustrated and automatically escalate to a human agent","I need a support assistant that provides clear resolution paths and avoids repeating information"],"best_for":["e-commerce and SaaS companies building first-line support automation","customer service teams looking to reduce human agent workload","support platforms integrating AI-powered triage and resolution"],"limitations":["Struggles with highly domain-specific or proprietary support scenarios requiring specialized knowledge","Cannot access external ticketing systems or customer databases without explicit integration","May over-escalate or under-escalate depending on escalation threshold tuning"],"requires":["API access to Inflection 3 Pi","Support context (customer issue description, relevant product/service information)","Optional: integration with ticketing system for escalation routing"],"input_types":["text (customer support queries, issue descriptions, conversation history)"],"output_types":["text (support responses with resolution steps, escalation signals, or clarifying questions)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_3","uri":"capability://text.generation.language.roleplay.and.character.consistency","name":"roleplay-and-character-consistency","description":"Inflection 3 Pi supports extended roleplay and character-driven conversations, maintaining consistent persona, backstory, and behavioral patterns across long dialogue sequences. The model uses in-context learning and dialogue history to track character state, motivations, and established facts about the roleplay scenario, enabling coherent multi-turn narratives without breaking character or contradicting established details.","intents":["I want to build an interactive fiction or narrative game with an AI character that stays in character","I need a creative writing assistant that can roleplay as a specific character with consistent personality","I want to create an educational simulation where an AI plays a historical figure or expert with consistent knowledge"],"best_for":["game developers building narrative-driven games with AI characters","creative writing platforms and collaborative storytelling tools","educational platforms using roleplay for immersive learning"],"limitations":["Character consistency degrades over very long conversations (100+ turns) due to context window limits","Cannot maintain complex multi-character scenarios with conflicting motivations without explicit state management","May break character if given contradictory instructions or edge-case prompts"],"requires":["API access to Inflection 3 Pi","Character description or system prompt defining persona, backstory, and behavioral constraints","Conversation history for context (required for consistency across turns)"],"input_types":["text (user messages in roleplay context, character descriptions, scenario setup)"],"output_types":["text (character responses maintaining established persona and narrative consistency)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_4","uri":"capability://text.generation.language.productivity.focused.task.assistance","name":"productivity-focused-task-assistance","description":"Inflection 3 Pi is optimized for productivity-oriented tasks like writing assistance, brainstorming, research summarization, and task planning. The model uses structured reasoning patterns to break down complex tasks, provide actionable next steps, and maintain focus on user goals. It balances helpfulness with conciseness, avoiding verbose responses that waste user time while still providing sufficient detail for task completion.","intents":["I need an AI assistant that helps me brainstorm ideas and organize them into actionable plans","I want to use AI to draft emails, documents, or proposals more efficiently","I need help breaking down a complex project into manageable tasks with clear next steps"],"best_for":["productivity app developers integrating AI writing and planning assistance","knowledge workers using AI for daily task management and writing","teams building AI-powered project planning or brainstorming tools"],"limitations":["Productivity optimization is subjective — what's concise for one user may be too brief for another","Cannot integrate with external task management systems without explicit API integration","May over-simplify complex projects or miss domain-specific considerations"],"requires":["API access to Inflection 3 Pi","Task description or context (project details, goals, constraints)","Optional: user preferences for response length and detail level"],"input_types":["text (task descriptions, brainstorming prompts, documents to summarize or edit)"],"output_types":["text (structured task plans, brainstorm lists, edited documents, actionable next steps)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_5","uri":"capability://safety.moderation.safety.aligned.response.generation","name":"safety-aligned-response-generation","description":"Inflection 3 Pi implements safety alignment through RLHF training with explicit safety objectives, enabling it to refuse harmful requests, avoid generating toxic content, and handle adversarial inputs gracefully. The model uses learned safety classifiers and guardrails to detect potentially harmful requests before generating responses, while still maintaining helpfulness on legitimate queries. Safety is integrated into the core model rather than applied as a post-hoc filter.","intents":["I need a chatbot that safely refuses harmful requests without being overly restrictive on legitimate queries","I want to deploy an AI assistant in a public-facing application without worrying about toxic or harmful outputs","I need an AI that can handle adversarial inputs and jailbreak attempts without breaking safety constraints"],"best_for":["public-facing applications and consumer products requiring robust safety","regulated industries (healthcare, finance) with strict content moderation requirements","platforms with diverse user bases where safety is critical"],"limitations":["Safety alignment is probabilistic — edge cases and novel attack vectors may still bypass guardrails","Over-alignment can result in false positives, refusing legitimate requests (e.g., educational content about harmful topics)","Safety performance varies across languages and cultural contexts"],"requires":["API access to Inflection 3 Pi","Understanding of model safety constraints and limitations","Optional: custom safety policies or content moderation rules"],"input_types":["text (any user input, including potentially adversarial or harmful requests)"],"output_types":["text (safe responses or refusals with explanations)"],"categories":["safety-moderation","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_6","uri":"capability://text.generation.language.multi.turn.conversation.context.management","name":"multi-turn-conversation-context-management","description":"Inflection 3 Pi manages conversation context across multiple turns using an efficient context window strategy, maintaining coherence and consistency without requiring explicit state management from the caller. The model uses dialogue history to track established facts, user preferences, and conversation goals, enabling natural multi-turn interactions where references to previous messages are understood without repetition.","intents":["I need a chatbot that remembers what we discussed earlier in the conversation without me repeating context","I want to build a conversational AI that can reference earlier messages and maintain coherent dialogue","I need an assistant that understands pronouns and references to previous statements without explicit clarification"],"best_for":["conversational AI platforms and chatbot builders","customer support systems requiring multi-turn issue resolution","personal assistant applications with extended user interactions"],"limitations":["Context window is finite — very long conversations (500+ turns) may lose early context or require summarization","Context management adds latency proportional to conversation length","No persistent memory across separate conversation sessions without external storage"],"requires":["API access to Inflection 3 Pi","Conversation history passed with each request (full or summarized)","Typical context window: 4K-8K tokens (varies by API configuration)"],"input_types":["text (current user message + conversation history)"],"output_types":["text (contextually aware response referencing prior conversation)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-inflection-inflection-3-pi__cap_7","uri":"capability://tool.use.integration.api.based.inference.with.streaming","name":"api-based-inference-with-streaming","description":"Inflection 3 Pi is accessible via REST API endpoints (through OpenRouter or direct Inflection API) with support for streaming responses, enabling real-time token-by-token output for interactive applications. The API uses standard LLM interface patterns (messages format, temperature/top-p sampling parameters) and supports both synchronous and asynchronous inference, allowing builders to integrate the model into web applications, mobile apps, or backend services with low latency.","intents":["I want to integrate Inflection 3 Pi into my web application with real-time streaming responses","I need to call Inflection 3 Pi from my backend service with standard LLM API patterns","I want to build a mobile app that uses Inflection 3 Pi for conversational AI"],"best_for":["web and mobile app developers integrating conversational AI","backend services and microservices using LLM inference","teams building multi-model AI applications (using Inflection 3 Pi alongside other models)"],"limitations":["API latency depends on model size and inference infrastructure — typically 500ms-2s for first token","Streaming adds complexity to client-side handling (buffering, error recovery)","Rate limiting and quota management required for production deployments"],"requires":["API key for OpenRouter or Inflection API","HTTP client library (curl, axios, requests, etc.)","Network connectivity to API endpoints","Understanding of LLM API patterns (messages format, sampling parameters)"],"input_types":["text (JSON-formatted messages with role/content structure)"],"output_types":["text (streaming tokens or complete response, JSON-formatted)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["API access via OpenRouter or direct Inflection API","Conversation history context (recommended 5-10 prior exchanges for optimal emotional tracking)","Text input in English or supported languages","API access to Inflection 3 Pi via OpenRouter or direct endpoint","Internet connectivity for real-time news fetching","Optional: custom news source configuration or filtering rules","API access to Inflection 3 Pi","Support context (customer issue description, relevant product/service information)","Optional: integration with ticketing system for escalation routing","Character description or system prompt defining persona, backstory, and behavioral constraints"],"failure_modes":["Emotional intelligence is probabilistic and context-dependent — may misread sarcasm or cultural nuances","Cannot replace professional mental health services; designed for supportive conversation, not therapy","Performance degrades with extremely brief or ambiguous user inputs lacking emotional cues","News freshness depends on underlying news source update frequency — typically 1-24 hours behind real-time","May hallucinate or conflate similar recent events if news sources are sparse or ambiguous","Context window size limits how much recent news can be injected; very large news datasets require filtering/ranking","Struggles with highly domain-specific or proprietary support scenarios requiring specialized knowledge","Cannot access external ticketing systems or customer databases without explicit integration","May over-escalate or under-escalate depending on escalation threshold tuning","Character consistency degrades over very long conversations (100+ turns) due to context window limits","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"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":"2026-05-24T12:16:24.484Z","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=inflection-inflection-3-pi","compare_url":"https://unfragile.ai/compare?artifact=inflection-inflection-3-pi"}},"signature":"HJeM+PZInGUDfxjqIKbaUp/MP7qFQxC1IFjKC0+lKXftpY8nzLHpZv+BTdeR33o24kwywbbTEmQlzeE+JwElBw==","signedAt":"2026-06-21T18:48:09.852Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/inflection-inflection-3-pi","artifact":"https://unfragile.ai/inflection-inflection-3-pi","verify":"https://unfragile.ai/api/v1/verify?slug=inflection-inflection-3-pi","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"}}