{
	"general": {
		"fields": [
			{
				"json_name": "max_output_tokens",
				"go_name": "MaxOutputTokens",
				"type": "integer",
				"description": "Upper bound on tokens the model may generate",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "temperature",
				"go_name": "Temperature",
				"type": "number",
				"description": "Sampling temperature between 0 and 2",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "top_p",
				"go_name": "TopP",
				"type": "number",
				"description": "Nucleus sampling probability cutoff",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "top_k",
				"go_name": "TopK",
				"type": "integer",
				"description": "Number of highest-probability tokens to keep for sampling",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "presence_penalty",
				"go_name": "PresencePenalty",
				"type": "number",
				"description": "Penalty for tokens that have already appeared in the output",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "frequency_penalty",
				"go_name": "FrequencyPenalty",
				"type": "number",
				"description": "Penalty for tokens based on their frequency in the output",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "cost.input_price_per_million_tokens",
				"go_name": "Cost.InputPricePerMillionTokens",
				"type": "number",
				"description": "Input token price in USD per 1M tokens",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "cost.output_price_per_million_tokens",
				"go_name": "Cost.OutputPricePerMillionTokens",
				"type": "number",
				"description": "Output token price in USD per 1M tokens",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "cost.cache_read_price_per_million_tokens",
				"go_name": "Cost.CacheReadPricePerMillionTokens",
				"type": "number",
				"description": "Cache read token price in USD per 1M tokens",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "cost.cache_write_price_per_million_tokens",
				"go_name": "Cost.CacheWritePricePerMillionTokens",
				"type": "number",
				"description": "Cache write or cache creation token price in USD per 1M tokens",
				"required": false,
				"input_type": "input"
			},
			{
				"json_name": "reasoning_effort.default",
				"go_name": "ReasoningEffort.Default",
				"type": "string",
				"description": "Reasoning effort used when the user has not selected one",
				"label": "Default Reasoning Effort",
				"required": false,
				"enum": ["none", "minimal", "low", "medium", "high", "xhigh", "max"],
				"input_type": "select"
			},
			{
				"json_name": "reasoning_effort.max",
				"go_name": "ReasoningEffort.Max",
				"type": "string",
				"description": "Maximum reasoning effort the user may select",
				"label": "Max Reasoning Effort",
				"required": false,
				"enum": ["none", "minimal", "low", "medium", "high", "xhigh", "max"],
				"input_type": "select"
			}
		]
	},
	"providers": {
		"anthropic": {
			"fields": [
				{
					"json_name": "send_reasoning",
					"go_name": "SendReasoning",
					"type": "boolean",
					"description": "Whether to include reasoning content in the response",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "thinking.budget_tokens",
					"go_name": "Thinking.BudgetTokens",
					"type": "integer",
					"description": "Maximum number of tokens the model may use for thinking",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "thinking_display",
					"go_name": "ThinkingDisplay",
					"type": "string",
					"description": "Controls how Anthropic returns thinking content",
					"label": "Thinking Display",
					"required": false,
					"enum": ["summarized", "omitted"],
					"input_type": "select"
				},
				{
					"json_name": "disable_parallel_tool_use",
					"go_name": "DisableParallelToolUse",
					"type": "boolean",
					"description": "Whether to disable parallel tool execution",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "web_search_enabled",
					"go_name": "WebSearchEnabled",
					"type": "boolean",
					"description": "Enable Anthropic web search tool for grounding responses with real-time information",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "allowed_domains",
					"go_name": "AllowedDomains",
					"type": "array",
					"description": "Restrict web search to these domains (cannot be used with blocked_domains)",
					"label": "Web Search: Allowed Domains",
					"required": false,
					"input_type": "json",
					"visible_when": "web_search_enabled",
					"conflicts_with": ["blocked_domains"]
				},
				{
					"json_name": "blocked_domains",
					"go_name": "BlockedDomains",
					"type": "array",
					"description": "Block web search on these domains (cannot be used with allowed_domains)",
					"label": "Web Search: Blocked Domains",
					"required": false,
					"input_type": "json",
					"visible_when": "web_search_enabled",
					"conflicts_with": ["allowed_domains"]
				},
				{
					"json_name": "context_1m_enabled",
					"go_name": "Context1MEnabled",
					"type": "boolean",
					"description": "Send the anthropic-beta context-1m-2025-08-07 header to unlock the 1M token context window on supported Claude models. Pair with a matching Context Limit. Long-context pricing and higher latency may apply above 200K tokens.",
					"label": "1M Context Window",
					"required": false,
					"input_type": "select"
				}
			]
		},
		"google": {
			"fields": [
				{
					"json_name": "thinking_config.thinking_budget",
					"go_name": "ThinkingConfig.ThinkingBudget",
					"type": "integer",
					"description": "Maximum number of tokens the model may use for thinking",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "thinking_config.include_thoughts",
					"go_name": "ThinkingConfig.IncludeThoughts",
					"type": "boolean",
					"description": "Whether to include thinking content in the response",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "cached_content",
					"go_name": "CachedContent",
					"type": "string",
					"description": "Resource name of a cached content object",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "safety_settings",
					"go_name": "SafetySettings",
					"type": "array",
					"description": "Safety filtering settings for harmful content categories",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "threshold",
					"go_name": "Threshold",
					"type": "string",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "web_search_enabled",
					"go_name": "WebSearchEnabled",
					"type": "boolean",
					"description": "Enable Google Search grounding for real-time information",
					"required": false,
					"input_type": "select"
				}
			]
		},
		"openai": {
			"fields": [
				{
					"json_name": "include",
					"go_name": "Include",
					"type": "array",
					"description": "Model names to include in discovery",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "instructions",
					"go_name": "Instructions",
					"type": "string",
					"description": "System-level instructions prepended to the conversation",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "logit_bias",
					"go_name": "LogitBias",
					"type": "object",
					"description": "Token IDs mapped to bias values from -100 to 100",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "log_probs",
					"go_name": "LogProbs",
					"type": "boolean",
					"description": "Whether to return log probabilities of output tokens",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "top_log_probs",
					"go_name": "TopLogProbs",
					"type": "integer",
					"description": "Number of most likely tokens to return log probabilities for",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "max_tool_calls",
					"go_name": "MaxToolCalls",
					"type": "integer",
					"description": "Maximum number of tool calls per response",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "parallel_tool_calls",
					"go_name": "ParallelToolCalls",
					"type": "boolean",
					"description": "Whether the model may make multiple tool calls in parallel",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "user",
					"go_name": "User",
					"type": "string",
					"description": "Unique identifier for the end user for abuse monitoring",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "reasoning_summary",
					"go_name": "ReasoningSummary",
					"type": "string",
					"description": "Controls whether reasoning tokens are summarized in the response",
					"required": false,
					"enum": ["auto", "concise", "detailed"],
					"input_type": "select"
				},
				{
					"json_name": "max_completion_tokens",
					"go_name": "MaxCompletionTokens",
					"type": "integer",
					"description": "Upper bound on tokens the model may generate",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "text_verbosity",
					"go_name": "TextVerbosity",
					"type": "string",
					"description": "Controls the verbosity of the text response",
					"required": false,
					"enum": ["low", "medium", "high"],
					"input_type": "select"
				},
				{
					"json_name": "prediction",
					"go_name": "Prediction",
					"type": "object",
					"description": "Predicted output content to speed up responses",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "store",
					"go_name": "Store",
					"type": "boolean",
					"description": "Whether to store the response on OpenAI for later retrieval via the API and dashboard logs",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "metadata",
					"go_name": "Metadata",
					"type": "object",
					"description": "Arbitrary metadata to attach to the request",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "prompt_cache_key",
					"go_name": "PromptCacheKey",
					"type": "string",
					"description": "Key for enabling cross-request prompt caching",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "safety_identifier",
					"go_name": "SafetyIdentifier",
					"type": "string",
					"description": "Developer-specific safety identifier for the request",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "service_tier",
					"go_name": "ServiceTier",
					"type": "string",
					"description": "Latency tier to use for processing the request",
					"required": false,
					"enum": ["auto", "default", "flex", "scale", "priority"],
					"input_type": "select"
				},
				{
					"json_name": "structured_outputs",
					"go_name": "StructuredOutputs",
					"type": "boolean",
					"description": "Whether to enable structured JSON output mode",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "strict_json_schema",
					"go_name": "StrictJSONSchema",
					"type": "boolean",
					"description": "Whether to enforce strict adherence to the JSON schema",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "web_search_enabled",
					"go_name": "WebSearchEnabled",
					"type": "boolean",
					"description": "Enable OpenAI web search tool for grounding responses with real-time information",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "search_context_size",
					"go_name": "SearchContextSize",
					"type": "string",
					"description": "Amount of search context to use",
					"required": false,
					"enum": ["low", "medium", "high"],
					"input_type": "select",
					"visible_when": "web_search_enabled"
				},
				{
					"json_name": "allowed_domains",
					"go_name": "AllowedDomains",
					"type": "array",
					"description": "Restrict web search to these domains",
					"label": "Web Search: Allowed Domains",
					"required": false,
					"input_type": "json",
					"visible_when": "web_search_enabled"
				}
			]
		},
		"openaicompat": {
			"fields": [
				{
					"json_name": "user",
					"go_name": "User",
					"type": "string",
					"description": "Unique identifier for the end user for abuse monitoring",
					"required": false,
					"input_type": "input",
					"hidden": true
				}
			]
		},
		"openrouter": {
			"fields": [
				{
					"json_name": "reasoning.enabled",
					"go_name": "Reasoning.Enabled",
					"type": "boolean",
					"description": "Whether reasoning is enabled",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "reasoning.exclude",
					"go_name": "Reasoning.Exclude",
					"type": "boolean",
					"description": "Whether to exclude reasoning content from the response",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "reasoning.max_tokens",
					"go_name": "Reasoning.MaxTokens",
					"type": "integer",
					"description": "Maximum number of tokens for reasoning output",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "extra_body",
					"go_name": "ExtraBody",
					"type": "object",
					"description": "Additional fields to include in the request body",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "include_usage",
					"go_name": "IncludeUsage",
					"type": "boolean",
					"description": "Whether to include token usage information in the response",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "logit_bias",
					"go_name": "LogitBias",
					"type": "object",
					"description": "Token IDs mapped to bias values from -100 to 100",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "log_probs",
					"go_name": "LogProbs",
					"type": "boolean",
					"description": "Whether to return log probabilities of output tokens",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "parallel_tool_calls",
					"go_name": "ParallelToolCalls",
					"type": "boolean",
					"description": "Whether the model may make multiple tool calls in parallel",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "user",
					"go_name": "User",
					"type": "string",
					"description": "Unique identifier for the end user for abuse monitoring",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "provider",
					"go_name": "Provider",
					"type": "string",
					"description": "Routing preferences for provider selection",
					"required": false,
					"input_type": "input",
					"hidden": true
				}
			]
		},
		"vercel": {
			"fields": [
				{
					"json_name": "reasoning.enabled",
					"go_name": "Reasoning.Enabled",
					"type": "boolean",
					"description": "Whether reasoning is enabled",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "reasoning.exclude",
					"go_name": "Reasoning.Exclude",
					"type": "boolean",
					"description": "Whether to exclude reasoning content from the response",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "reasoning.max_tokens",
					"go_name": "Reasoning.MaxTokens",
					"type": "integer",
					"description": "Maximum number of tokens for reasoning output",
					"required": false,
					"input_type": "input"
				},
				{
					"json_name": "providerOptions",
					"go_name": "ProviderOptions",
					"type": "string",
					"description": "Gateway routing options for provider selection",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "user",
					"go_name": "User",
					"type": "string",
					"description": "Unique identifier for the end user for abuse monitoring",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "logit_bias",
					"go_name": "LogitBias",
					"type": "object",
					"description": "Token IDs mapped to bias values from -100 to 100",
					"required": false,
					"input_type": "json",
					"hidden": true
				},
				{
					"json_name": "logprobs",
					"go_name": "LogProbs",
					"type": "boolean",
					"description": "Whether to return log probabilities of output tokens",
					"required": false,
					"input_type": "select",
					"hidden": true
				},
				{
					"json_name": "top_logprobs",
					"go_name": "TopLogProbs",
					"type": "integer",
					"description": "Number of most likely tokens to return log probabilities for",
					"required": false,
					"input_type": "input",
					"hidden": true
				},
				{
					"json_name": "parallel_tool_calls",
					"go_name": "ParallelToolCalls",
					"type": "boolean",
					"description": "Whether the model may make multiple tool calls in parallel",
					"required": false,
					"input_type": "select"
				},
				{
					"json_name": "extra_body",
					"go_name": "ExtraBody",
					"type": "object",
					"description": "Additional fields to include in the request body",
					"required": false,
					"input_type": "json",
					"hidden": true
				}
			]
		}
	},
	"provider_aliases": {
		"azure": "openai",
		"bedrock": "anthropic"
	}
}