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// Internal key name (e.g., 'temperature')\n label: string; // Human-readable label\n description?: string; // Help text\n type: ParameterType;\n required?: boolean;\n default?: unknown;\n}\n\nexport interface NumberParameter extends BaseParameter {\n type: 'number';\n min?: number;\n max?: number;\n step?: number;\n default?: number;\n}\n\nexport interface StringParameter extends BaseParameter {\n type: 'string';\n maxLength?: number;\n placeholder?: string;\n default?: string;\n}\n\nexport interface TextareaParameter extends BaseParameter {\n type: 'textarea';\n maxLength?: number;\n placeholder?: string;\n rows?: number;\n default?: string;\n}\n\nexport interface BooleanParameter extends BaseParameter {\n type: 'boolean';\n default?: boolean;\n}\n\nexport interface SelectParameter extends BaseParameter {\n type: 'select';\n options: Array<{ value: string; label: string }>;\n default?: string;\n apiMapping?: Record; // Maps UI value to API value (e.g., { low: 'none', medium: 'default' })\n}\n\nexport type ModelParameter = \n | NumberParameter \n | StringParameter \n | TextareaParameter \n | BooleanParameter \n | SelectParameter;\n\n// =============================================================================\n// Model Configuration\n// =============================================================================\n\nexport interface ModelConfig {\n id: string; // Model ID (e.g., 'llama-3.3-70b-versatile')\n name: string; // Display name\n provider: string; // Provider name (e.g., 'groq', 'openai')\n description?: string;\n parameters: ModelParameter[];\n capabilities?: {\n web?: boolean;\n thinking?: boolean;\n image?: boolean;\n streaming?: boolean;\n tools?: boolean;\n };\n // Optional: Transform parameters before sending to API\n // This allows us to map UI values to provider-specific API values\n transformParameters?: (params: Record) => Record;\n}\n\n// =============================================================================\n// Chat Session Metadata\n// =============================================================================\n\nexport interface ChatSessionMetadata {\n systemPrompt?: string;\n defaultModel?: string;\n parameters?: Record; // Model-specific parameters\n createdAt?: string;\n updatedAt?: string;\n}\n\n// =============================================================================\n// Message Metadata (stored per message for tracing)\n// =============================================================================\n\nexport interface MessageMetadata {\n model?: string; // Model used for this message\n temperature?: number;\n maxTokens?: number;\n parameters?: Record; // All parameters used\n usage?: {\n promptTokens?: number;\n completionTokens?: number;\n totalTokens?: number;\n };\n latencyMs?: number; // Response time\n reasoning?: string; // For thinking models\n}\n\n// =============================================================================\n// Groq Model Configurations\n// =============================================================================\n\nconst GROQ_BASE_PARAMETERS: ModelParameter[] = [\n {\n key: 'temperature',\n label: 'Temperature',\n description: 'Controls randomness. Lower values are more focused, higher values are more creative.',\n type: 'number',\n min: 0,\n max: 2,\n step: 0.1,\n default: 0.7\n },\n {\n key: 'maxTokens',\n label: 'Max Tokens',\n description: 'Maximum number of tokens to generate.',\n type: 'number',\n min: 1,\n max: 32768,\n step: 1,\n default: 2048\n },\n {\n key: 'topP',\n label: 'Top P',\n description: 'Nucleus sampling threshold. Lower values are more focused.',\n type: 'number',\n min: 0,\n max: 1,\n step: 0.05,\n default: 1\n },\n {\n key: 'frequencyPenalty',\n label: 'Frequency Penalty',\n description: 'Reduces repetition of tokens. Higher values discourage repetition.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n },\n {\n key: 'presencePenalty',\n label: 'Presence Penalty',\n description: 'Encourages new topics. Higher values increase topic diversity.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n }\n];\n\nconst COMPOUND_PARAMETERS: ModelParameter[] = [\n ...GROQ_BASE_PARAMETERS,\n {\n key: 'webSearch',\n label: 'Web Search',\n description: 'Enable web search for real-time information.',\n type: 'boolean',\n default: true\n }\n];\n\nconst THINKING_PARAMETERS: ModelParameter[] = [\n ...GROQ_BASE_PARAMETERS,\n {\n key: 'reasoningEffort',\n label: 'Reasoning Effort',\n description: 'How much effort to put into reasoning/thinking (low, medium, high).',\n type: 'select',\n options: [\n { value: 'low', label: 'Low' },\n { value: 'medium', label: 'Medium' },\n { value: 'high', label: 'High' }\n ],\n default: 'medium'\n },\n {\n key: 'webSearch',\n label: 'Web Search',\n description: 'Enable web search for real-time information.',\n type: 'boolean',\n default: false\n },\n {\n key: 'codeExecution',\n label: 'Code Execution',\n description: 'Enable code execution capabilities.',\n type: 'boolean',\n default: false\n }\n];\n\nconst VISION_PARAMETERS: ModelParameter[] = [\n ...GROQ_BASE_PARAMETERS,\n {\n key: 'imageDetail',\n label: 'Image Detail',\n description: 'Level of detail for image processing.',\n type: 'select',\n options: [\n { value: 'low', label: 'Low' },\n { value: 'auto', label: 'Auto' },\n { value: 'high', label: 'High' }\n ],\n default: 'auto'\n }\n];\n\n// =============================================================================\n// Groq Model Registry\n// =============================================================================\n\nexport const GROQ_MODEL_CONFIGS: ModelConfig[] = [\n // Compound Systems (Agentic AI)\n {\n id: 'groq/compound',\n name: 'Compound',\n provider: 'groq',\n description: 'AI system with built-in tools including web search and code execution.',\n parameters: COMPOUND_PARAMETERS,\n capabilities: { web: true, streaming: true, tools: true }\n },\n {\n id: 'groq/compound-mini',\n name: 'Compound Mini',\n provider: 'groq',\n description: 'Faster, lighter version with web search and code execution.',\n parameters: COMPOUND_PARAMETERS,\n capabilities: { web: true, streaming: true, tools: true }\n },\n \n // OpenAI GPT-OSS Models (Thinking + Tools)\n {\n id: 'openai/gpt-oss-120b',\n name: 'GPT OSS 120B',\n provider: 'groq',\n description: 'OpenAI\\'s flagship 120B parameter model with browser search and reasoning.',\n parameters: THINKING_PARAMETERS,\n capabilities: { web: true, thinking: true, streaming: true, tools: true }\n },\n {\n id: 'openai/gpt-oss-20b',\n name: 'GPT OSS 20B',\n provider: 'groq',\n description: 'Fast 20B model with web search, thinking, and code execution.',\n parameters: THINKING_PARAMETERS,\n capabilities: { web: true, thinking: true, streaming: true, tools: true }\n },\n {\n id: 'openai/gpt-oss-safeguard-20b',\n name: 'Safety GPT OSS 20B',\n provider: 'groq',\n description: 'Safe responses with web search, thinking, and moderation.',\n parameters: THINKING_PARAMETERS,\n capabilities: { web: true, thinking: true, streaming: true, tools: true }\n },\n \n // Llama 3.x Production Models\n {\n id: 'llama-3.1-8b-instant',\n name: 'Llama 3.1 8B Instant',\n provider: 'groq',\n description: 'Ultra-fast 8B model for instant responses (560 t/s).',\n parameters: GROQ_BASE_PARAMETERS,\n capabilities: { streaming: true }\n },\n {\n id: 'llama-3.3-70b-versatile',\n name: 'Llama 3.3 70B Versatile',\n provider: 'groq',\n description: 'Versatile 70B model for a wide range of tasks (280 t/s).',\n parameters: GROQ_BASE_PARAMETERS,\n capabilities: { streaming: true }\n },\n \n // Llama 4 Vision Models (Preview)\n {\n id: 'meta-llama/llama-4-maverick-17b-128e-instruct',\n name: 'Llama 4 Maverick 17B 128E',\n provider: 'groq',\n description: 'Powerful image understanding and analysis (600 t/s).',\n parameters: VISION_PARAMETERS,\n capabilities: { image: true, streaming: true }\n },\n {\n id: 'meta-llama/llama-4-scout-17b-16e-instruct',\n name: 'Llama 4 Scout 17B 16E',\n provider: 'groq',\n description: 'Fast responses with image support (750 t/s).',\n parameters: VISION_PARAMETERS,\n capabilities: { image: true, streaming: true }\n },\n \n // Specialized Models\n {\n id: 'moonshotai/kimi-k2-instruct-0905',\n name: 'Kimi K2 0905',\n provider: 'groq',\n description: 'Highly capable for writing and coding with 262K context.',\n parameters: GROQ_BASE_PARAMETERS,\n capabilities: { streaming: true }\n },\n {\n id: 'qwen/qwen3-32b',\n name: 'Qwen3-32B',\n provider: 'groq',\n description: 'Multilingual responses with thinking capabilities.',\n parameters: [\n ...GROQ_BASE_PARAMETERS,\n {\n key: 'reasoningEffort',\n label: 'Reasoning Effort',\n description: 'How much effort to put into reasoning/thinking.',\n type: 'select',\n options: [\n { value: 'none', label: 'None' },\n { value: 'default', label: 'Default' }\n ],\n default: 'default',\n apiMapping: {\n 'none': 'none',\n 'default': 'default',\n // Map old values for backwards compatibility\n 'low': 'none',\n 'medium': 'default',\n 'high': 'default'\n }\n } as SelectParameter,\n {\n key: 'webSearch',\n label: 'Web Search',\n description: 'Enable web search for real-time information.',\n type: 'boolean',\n default: false\n },\n {\n key: 'codeExecution',\n label: 'Code Execution',\n description: 'Enable code execution capabilities.',\n type: 'boolean',\n default: false\n }\n ],\n capabilities: { thinking: true, streaming: true }\n },\n \n // Guard/Safety Models\n {\n id: 'meta-llama/llama-guard-4-12b',\n name: 'Llama Guard 4 12B',\n provider: 'groq',\n description: 'Content moderation and safety checking (1200 t/s).',\n parameters: GROQ_BASE_PARAMETERS,\n capabilities: { streaming: true }\n }\n];\n\n// =============================================================================\n// OpenAI Base Parameters\n// =============================================================================\n\nconst OPENAI_BASE_PARAMETERS: ModelParameter[] = [\n {\n key: 'temperature',\n label: 'Temperature',\n description: 'Controls randomness. Lower values are more focused, higher values are more creative.',\n type: 'number',\n min: 0,\n max: 2,\n step: 0.1,\n default: 0.7\n },\n {\n key: 'maxTokens',\n label: 'Max Tokens',\n description: 'Maximum number of tokens to generate.',\n type: 'number',\n min: 1,\n max: 128000,\n step: 1,\n default: 4096\n },\n {\n key: 'topP',\n label: 'Top P',\n description: 'Nucleus sampling threshold.',\n type: 'number',\n min: 0,\n max: 1,\n step: 0.05,\n default: 1\n },\n {\n key: 'frequencyPenalty',\n label: 'Frequency Penalty',\n description: 'Reduces repetition of tokens.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n },\n {\n key: 'presencePenalty',\n label: 'Presence Penalty',\n description: 'Encourages new topics.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n }\n];\n\nconst OPENAI_REASONING_PARAMETERS: ModelParameter[] = [\n ...OPENAI_BASE_PARAMETERS,\n {\n key: 'reasoningEffort',\n label: 'Reasoning Effort',\n description: 'How much effort to put into reasoning (o1/o3 models only).',\n type: 'select',\n options: [\n { value: 'low', label: 'Low' },\n { value: 'medium', label: 'Medium' },\n { value: 'high', label: 'High' }\n ],\n default: 'medium'\n }\n];\n\n// =============================================================================\n// OpenAI Model Registry\n// =============================================================================\n\nexport const OPENAI_MODEL_CONFIGS: ModelConfig[] = [\n // GPT-5.2 Series (Latest - Dec 2025)\n {\n id: 'gpt-5.2',\n name: 'GPT-5.2',\n provider: 'openai',\n description: 'The best model for coding and agentic tasks across industries.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true, thinking: true }\n },\n {\n id: 'gpt-5.2-pro',\n name: 'GPT-5.2 Pro',\n provider: 'openai',\n description: 'Version of GPT-5.2 that produces smarter and more precise responses.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true, thinking: true }\n },\n {\n id: 'gpt-5.1',\n name: 'GPT-5.1',\n provider: 'openai',\n description: 'The best model for coding and agentic tasks with configurable reasoning effort.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true, thinking: true }\n },\n {\n id: 'gpt-5',\n name: 'GPT-5',\n provider: 'openai',\n description: 'Flagship model for coding, reasoning, and agentic tasks across domains.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true, thinking: true }\n },\n {\n id: 'gpt-5-pro',\n name: 'GPT-5 Pro',\n provider: 'openai',\n description: 'Most advanced reasoning model that uses more compute for smarter, more precise responses.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true, thinking: true }\n },\n {\n id: 'gpt-5-mini',\n name: 'GPT-5 Mini',\n provider: 'openai',\n description: 'Faster, cost-efficient version of GPT-5 for well-defined tasks.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n {\n id: 'gpt-5-nano',\n name: 'GPT-5 Nano',\n provider: 'openai',\n description: 'Fastest, most cost-efficient version of GPT-5 for summarization and classification.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n \n // GPT-4.1 Series (1M Context)\n {\n id: 'gpt-4.1',\n name: 'GPT-4.1',\n provider: 'openai',\n description: 'Smartest non-reasoning model - excels at instruction following and tool calling with 1M context.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n \n // o-series Reasoning Models (Latest)\n {\n id: 'o3-pro',\n name: 'o3 Pro',\n provider: 'openai',\n description: 'Highest reasoning model with reinforcement learning - uses more compute for consistently better answers.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true, tools: true }\n },\n {\n id: 'o3-deep-research',\n name: 'o3 Deep Research',\n provider: 'openai',\n description: 'Most advanced deep research model for complex multi-step research with internet search and synthesis.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true, tools: true }\n },\n {\n id: 'o4-mini-deep-research',\n name: 'o4-mini Deep Research',\n provider: 'openai',\n description: 'Faster, affordable deep research model for complex multi-step research tasks with internet search.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true, tools: true }\n },\n {\n id: 'o3',\n name: 'o3',\n provider: 'openai',\n description: 'Advanced reasoning model for complex multi-step tasks.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true, tools: true }\n },\n {\n id: 'o3-mini',\n name: 'o3-mini',\n provider: 'openai',\n description: 'Fast, flexible reasoning for coding and problem-solving.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true }\n },\n \n // o1 Reasoning Models (Legacy)\n {\n id: 'o1',\n name: 'o1',\n provider: 'openai',\n description: 'Original reasoning model for complex analysis.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true }\n },\n {\n id: 'o1-mini',\n name: 'o1-mini',\n provider: 'openai',\n description: 'Efficient reasoning model for coding and math.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true }\n },\n {\n id: 'o1-pro',\n name: 'o1-pro',\n provider: 'openai',\n description: 'Enhanced compute for hard problems.',\n parameters: OPENAI_REASONING_PARAMETERS,\n capabilities: { thinking: true, streaming: true, image: true }\n },\n \n // GPT-4o Series (Legacy - still fast & cheap)\n {\n id: 'gpt-4o',\n name: 'GPT-4o',\n provider: 'openai',\n description: 'High-intelligence model with vision, fast and affordable.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n {\n id: 'gpt-4o-mini',\n name: 'GPT-4o Mini',\n provider: 'openai',\n description: 'Small, fast, and affordable. Great for most tasks.',\n parameters: OPENAI_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n }\n];\n\n// =============================================================================\n// Anthropic Base Parameters\n// =============================================================================\n\nconst ANTHROPIC_BASE_PARAMETERS: ModelParameter[] = [\n {\n key: 'temperature',\n label: 'Temperature',\n description: 'Controls randomness. Lower values are more focused.',\n type: 'number',\n min: 0,\n max: 1,\n step: 0.1,\n default: 0.7\n },\n {\n key: 'maxTokens',\n label: 'Max Tokens',\n description: 'Maximum number of tokens to generate.',\n type: 'number',\n min: 1,\n max: 200000,\n step: 1,\n default: 4096\n },\n {\n key: 'topP',\n label: 'Top P',\n description: 'Nucleus sampling threshold.',\n type: 'number',\n min: 0,\n max: 1,\n step: 0.05,\n default: 1\n }\n];\n\nconst ANTHROPIC_THINKING_PARAMETERS: ModelParameter[] = [\n ...ANTHROPIC_BASE_PARAMETERS,\n {\n key: 'reasoningEffort',\n label: 'Extended Thinking',\n description: 'Enable extended thinking with budget tokens.',\n type: 'select',\n options: [\n { value: 'low', label: 'Low (5K tokens)' },\n { value: 'medium', label: 'Medium (10K tokens)' },\n { value: 'high', label: 'High (20K tokens)' }\n ],\n default: 'medium'\n }\n];\n\n// =============================================================================\n// Anthropic Model Registry\n// =============================================================================\n\nexport const ANTHROPIC_MODEL_CONFIGS: ModelConfig[] = [\n // Claude 4.5 Series (Latest - 2025)\n {\n id: 'claude-opus-4-5-20251124',\n name: 'Claude Opus 4.5',\n provider: 'anthropic',\n description: 'Most advanced model for complex tasks requiring extended autonomous operation and deep reasoning.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-sonnet-4-5-20250929',\n name: 'Claude Sonnet 4.5',\n provider: 'anthropic',\n description: 'Optimized for real-world agents, coding, and computer use with enhanced capabilities.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-haiku-4-5-20251015',\n name: 'Claude Haiku 4.5',\n provider: 'anthropic',\n description: 'Lightweight and fast model designed for real-time experiences with low latency.',\n parameters: ANTHROPIC_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n \n // Claude 4 Series\n {\n id: 'claude-opus-4-1-20250805',\n name: 'Claude Opus 4.1',\n provider: 'anthropic',\n description: 'Most capable and intelligent model, setting new standards in complex reasoning and advanced coding.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-opus-4-20250514',\n name: 'Claude Opus 4',\n provider: 'anthropic',\n description: 'Highly capable model for complex tasks requiring deep reasoning.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-sonnet-4-20250514',\n name: 'Claude Sonnet 4',\n provider: 'anthropic',\n description: 'Excellent balance of performance, speed, and cost with extended thinking.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n \n // Claude 3.7 Series\n {\n id: 'claude-3-7-sonnet-20250219',\n name: 'Claude 3.7 Sonnet',\n provider: 'anthropic',\n description: 'Hybrid model with extended thinking capabilities.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n \n // Claude 3.5 Series\n {\n id: 'claude-3-5-sonnet-20241022',\n name: 'Claude 3.5 Sonnet',\n provider: 'anthropic',\n description: 'High performance for complex reasoning and coding.',\n parameters: ANTHROPIC_THINKING_PARAMETERS,\n capabilities: { thinking: true, image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-3-5-haiku-20241022',\n name: 'Claude 3.5 Haiku',\n provider: 'anthropic',\n description: 'Fast and cost-effective for simple tasks.',\n parameters: ANTHROPIC_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n \n // Claude 3 Series (Legacy)\n {\n id: 'claude-3-opus-20240229',\n name: 'Claude 3 Opus',\n provider: 'anthropic',\n description: 'Highly capable for complex analysis and coding.',\n parameters: ANTHROPIC_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-3-sonnet-20240229',\n name: 'Claude 3 Sonnet',\n provider: 'anthropic',\n description: 'Balanced performance and cost.',\n parameters: ANTHROPIC_BASE_PARAMETERS,\n capabilities: { image: true, streaming: true, tools: true }\n },\n {\n id: 'claude-3-haiku-20240307',\n name: 'Claude 3 Haiku',\n provider: 'anthropic',\n description: 'Fastest Claude 3 model.',\n parameters: ANTHROPIC_BASE_PARAMETERS,\n capabilities: { streaming: true, tools: true }\n }\n];\n\n// =============================================================================\n// Custom Provider Parameters (OpenAI-compatible)\n// =============================================================================\n\nconst CUSTOM_BASE_PARAMETERS: ModelParameter[] = [\n {\n key: 'temperature',\n label: 'Temperature',\n description: 'Controls randomness.',\n type: 'number',\n min: 0,\n max: 2,\n step: 0.1,\n default: 0.7\n },\n {\n key: 'maxTokens',\n label: 'Max Tokens',\n description: 'Maximum number of tokens to generate.',\n type: 'number',\n min: 1,\n max: 128000,\n step: 1,\n default: 2048\n },\n {\n key: 'topP',\n label: 'Top P',\n description: 'Nucleus sampling threshold.',\n type: 'number',\n min: 0,\n max: 1,\n step: 0.05,\n default: 1\n },\n {\n key: 'frequencyPenalty',\n label: 'Frequency Penalty',\n description: 'Reduces repetition.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n },\n {\n key: 'presencePenalty',\n label: 'Presence Penalty',\n description: 'Encourages new topics.',\n type: 'number',\n min: -2,\n max: 2,\n step: 0.1,\n default: 0\n }\n];\n\n// Custom models start empty - populated via auto-discovery\nexport const CUSTOM_MODEL_CONFIGS: ModelConfig[] = [];\n\n// =============================================================================\n// Combined Model Registry\n// =============================================================================\n\nexport const ALL_MODEL_CONFIGS: ModelConfig[] = [\n ...GROQ_MODEL_CONFIGS,\n ...OPENAI_MODEL_CONFIGS,\n ...ANTHROPIC_MODEL_CONFIGS,\n ...CUSTOM_MODEL_CONFIGS,\n];\n\n// =============================================================================\n// Helper Functions\n// =============================================================================\n\nexport function getModelConfig(modelId: string): ModelConfig | undefined {\n return ALL_MODEL_CONFIGS.find(m => m.id === modelId);\n}\n\nexport function getModelConfigsByProvider(provider: string): ModelConfig[] {\n return ALL_MODEL_CONFIGS.filter(m => m.provider === provider);\n}\n\nexport function getCustomBaseParameters(): ModelParameter[] {\n return CUSTOM_BASE_PARAMETERS;\n}\n\nexport function getDefaultParameters(modelId: string): Record {\n const config = getModelConfig(modelId);\n if (!config) return {};\n \n const defaults: Record = {};\n for (const param of config.parameters) {\n if (param.default !== undefined) {\n defaults[param.key] = param.default;\n }\n }\n return defaults;\n}\n\n// Transform parameters from UI values to API values\n// This handles things like mapping 'medium' -> 'default' for reasoning_effort\nexport function transformParametersForAPI(\n modelId: string, \n params: Record\n): Record {\n const config = getModelConfig(modelId);\n if (!config) return params;\n \n const transformed: Record = { ...params };\n \n // Apply per-parameter transformations\n for (const param of config.parameters) {\n const value = transformed[param.key];\n if (value === undefined) continue;\n \n // Handle select parameters with API mappings\n if (param.type === 'select' && (param as SelectParameter).apiMapping) {\n const mapping = (param as SelectParameter).apiMapping!;\n const stringValue = String(value);\n if (stringValue in mapping) {\n transformed[param.key] = mapping[stringValue];\n }\n }\n }\n \n // Apply model-specific transformations\n if (config.transformParameters) {\n return config.transformParameters(transformed);\n }\n \n return transformed;\n}\n\n// Validate parameters against model config\n// Returns array of validation errors, empty if valid\nexport function validateParameters(\n modelId: string,\n params: Record\n): string[] {\n const config = getModelConfig(modelId);\n if (!config) return [`Model ${modelId} not found`];\n \n const errors: string[] = [];\n \n for (const param of config.parameters) {\n const value = params[param.key];\n \n // Check required parameters\n if (param.required && (value === undefined || value === null)) {\n errors.push(`Parameter ${param.key} is required`);\n continue;\n }\n \n if (value === undefined || value === null) continue;\n \n // Type-specific validation\n switch (param.type) {\n case 'number': {\n const numParam = param as NumberParameter;\n const numValue = Number(value);\n if (isNaN(numValue)) {\n errors.push(`Parameter ${param.key} must be a number`);\n } else {\n if (numParam.min !== undefined && numValue < numParam.min) {\n errors.push(`Parameter ${param.key} must be >= ${numParam.min}`);\n }\n if (numParam.max !== undefined && numValue > numParam.max) {\n errors.push(`Parameter ${param.key} must be <= ${numParam.max}`);\n }\n }\n break;\n }\n case 'select': {\n const selectParam = param as SelectParameter;\n const strValue = String(value);\n const validValues = selectParam.options.map(o => o.value);\n \n // Also allow mapped values as valid\n const allValidValues = selectParam.apiMapping \n ? [...validValues, ...Object.keys(selectParam.apiMapping)]\n : validValues;\n \n if (!allValidValues.includes(strValue)) {\n errors.push(`Parameter ${param.key} must be one of: ${validValues.join(', ')}`);\n }\n break;\n }\n case 'string':\n case 'textarea': {\n const strParam = param as StringParameter | TextareaParameter;\n const strValue = String(value);\n if (strParam.maxLength && strValue.length > strParam.maxLength) {\n errors.push(`Parameter ${param.key} must be <= ${strParam.maxLength} characters`);\n }\n break;\n }\n case 'boolean': {\n if (typeof value !== 'boolean') {\n errors.push(`Parameter ${param.key} must be a boolean`);\n }\n break;\n }\n }\n }\n \n return errors;\n}\n\n// Export for frontend use (JSON-serializable version)\nexport function getModelConfigsJSON(): string {\n return JSON.stringify(GROQ_MODEL_CONFIGS);\n}\n\n\n","deleted","label",[169,170,151],"backend","providers","permalink","https://www.val.town/x/yawnxyz/chat/code/backend/providers/model-configs.ts","extension","actionData","errors"]