import { JSONSchema } from 'json-schema-typed';
import { AiAudioCreateSpeechModelName, AiAudioTranscriptionModelName, AiChatModelName, AiImageModelName, AiProviderType, AiRerankProvider, AnthropicChatModelName, GeminiChatModelName, GrokChatModelName, ModelIdSpec, OpenAiAudioCreateSpeechModelName, OpenAiAudioTranscriptionModelName, OpenAiChatModelName, OpenAiCreateSpeechFormat, OpenAiImageModelName } from './ai-common.public-types';
import { AiContextMetadata, AiContextMetadataFilter, AiKnowledgeBaseContextType, AiRagType } from './ai-knowledge-base.public-types';
import { AiFunctionId, AiFunctionIdWithContext, UserAiChatModelName } from './backend.public-types';
import { AiAgentId, AiContextId, AiKnowledgeBaseId, AppId, IntegrationId } from './communication.public-types';
import { DocumentExtractionMethod } from './extraction.public-types';
import { IntegrationType } from './integration.public-types';
import { JobId } from './job.public-types';
import { SecretKey } from './secret.public-types';
/**
 * @category AI
 */
export type AiGenerateImageOptions = GptImageOptions | StableDiffusionCoreOptions | FluxOptions;
/**
 * @category AI
 */
export type OpenAiAudioTranscribeOptions = WhisperTranscribeOptions | Gpt4oTranscribeOptions;
/**
 * @category AI
 */
export type AiAudioTranscribeOptions = OpenAiAudioTranscribeOptions;
/**
 * @category AI
 */
export type AiAudioCreateSpeechOptions = OpenAiCreateSpeechOptions;
/**
 * Base options for generating images with an AI model.
 * @category AI
 */
export interface BaseAiGenerateImageOptions {
    /** The name of the AI model to use for image generation. */
    modelName: AiImageModelName;
}
/**
 * Base options for transcribing audio with an AI model.
 * @category AI
 */
export interface BaseAiAudioTranscribeOptions {
    /** The name of the AI model to use for audio transcription. */
    modelName: AiAudioTranscriptionModelName;
}
/**
 * Base options for creating speech with an AI model.
 * @category AI
 */
export interface BaseAiAudioCreateSpeechOptions {
    /** The name of the AI model to use for speech creation. */
    modelName: AiAudioCreateSpeechModelName;
}
/**
 * Options for generating images using OpenAI's gpt-image-* family of models.
 * @category AI
 */
export interface GptImageOptions extends BaseAiGenerateImageOptions {
    /** Specifies the OpenAI image model to use. */
    modelName: OpenAiImageModelName;
    /** The quality of the generated image; defaults to 'auto'. */
    quality?: 'auto' | 'high' | 'medium' | 'low';
    /** The size of the generated image; defaults to '1024x1024'. */
    size?: '1024x1024' | '1024x1536' | '1536x1024' | 'auto';
    /** The number of images to generate; defaults to 1. */
    numberOfImagesToGenerate?: number;
}
interface BaseOpenAiAudioTranscribeOptions extends BaseAiAudioTranscribeOptions {
    /** Specifies the  model for audio transcription. */
    modelName: OpenAiAudioTranscriptionModelName;
    /** The temperature for sampling during transcription; defaults to model-specific value. */
    temperature?: number;
    /** An optional prompt to guide the transcription process. */
    prompt?: string;
}
/**
 * Options for transcribing audio using the Whisper model.
 * @category AI
 */
export interface WhisperTranscribeOptions extends BaseOpenAiAudioTranscribeOptions {
    /** Specifies the Whisper-1 model for audio transcription. */
    modelName: 'whisper-1';
    /** The format of the transcription response; defaults to 'json'. */
    responseFormat?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
}
/**
 * Options for transcribing audio using the GPT-4o model.
 * @category AI
 */
export interface Gpt4oTranscribeOptions extends BaseOpenAiAudioTranscribeOptions {
    /** Specifies the Whisper-1 model for audio transcription. */
    modelName: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe';
    /** The format of the transcription response; defaults to 'json'. */
    responseFormat?: 'json';
}
/**
 * Options for creating speech using OpenAI's text-to-speech models.
 * @category AI
 */
export interface OpenAiCreateSpeechOptions extends BaseAiAudioCreateSpeechOptions {
    /** The OpenAI model to use for speech creation (e.g., 'tts-1' or 'tts-1-hd'). */
    modelName: OpenAiAudioCreateSpeechModelName;
    /** The voice to use for speech synthesis; defaults to model-specific value. */
    voice?: 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'fable' | 'onyx' | 'nova' | 'sage' | 'shimmer' | 'verse';
    /** The format of the audio output; defaults to 'mp3'. */
    responseFormat?: OpenAiCreateSpeechFormat;
    /** An optional prompt to guide the speech synthesis process. */
    instructions?: string;
    /** The speed of the speech; defaults to 1.0. */
    speed?: number;
}
/**
 * Options for generating images using the Flux model.
 * @category AI
 */
export interface FluxOptions extends BaseAiGenerateImageOptions {
    /** Specifies the Flux Pro 1.1 model for image generation. */
    modelName: 'flux-pro-1.1' | 'flux-kontext-pro';
    /** The width of the generated image, must be a multiple of 32, min 256, max 1440; defaults to 1024. */
    width?: number;
    /** The height of the generated image, must be a multiple of 32, min 256, max 1440; defaults to 768. */
    height?: number;
    /** Whether to enhance the prompt for more creative output; defaults to false. */
    prompt_upsampling?: boolean;
    /** A random seed for reproducible generation, if specified. */
    seed?: number;
    /** The safety tolerance level, from 1 (strict) to 5 (permissive). */
    safety_tolerance?: number;
}
/**
 * Options for generating images using the Stable Diffusion Core model.
 * @category AI
 */
export interface StableDiffusionCoreOptions extends BaseAiGenerateImageOptions {
    /** Specifies the Stable Diffusion Core model for image generation. */
    modelName: 'stable-diffusion-core';
    /** The aspect ratio of the generated image; defaults to '1:1'. */
    aspectRatio?: '16:9' | '1:1' | '21:9' | '2:3' | '3:2' | '4:5' | '5:4' | '9:16' | '9:21';
    /** An optional negative prompt to guide what to exclude from the image. */
    negativePrompt?: string;
    /** A random seed for reproducible generation, if specified. */
    seed?: number;
    /** A style preset to apply to the generated image, if specified. */
    stylePreset?: 'analog-film' | 'anime' | 'cinematic' | 'comic-book' | 'digital-art' | 'enhance' | 'fantasy-art' | 'isometric' | 'line-art' | 'low-poly' | 'modeling-compound' | 'neon-punk' | 'origami' | 'photographic' | 'pixel-art' | 'tile-texture';
    /** The format of the output image; defaults to 'png'. */
    outputFormat?: 'jpeg' | 'png' | 'webp';
}
/**
 * The possible sources for the LLM provider API key.
 * @category AI
 */
export type ApiKeySource = 'user' | 'system';
/**
 * Structured output format configuration for AI models that support schema-constrained responses.
 *
 * When used with supported models,
 * this guarantees that responses will strictly conform to the provided JSON schema through
 * constrained decoding - the model cannot generate tokens that violate the schema.
 *
 * If the model does not support structured output, the response format will default to 'json_object'.
 * **Example:**
 * ```typescript
 * {
 *   type: 'json_schema',
 *   schema: {
 *     type: 'object',
 *     properties: {
 *       name: { type: 'string' },
 *       age: { type: 'number' }
 *     },
 *     required: ['name', 'age'],
 *     additionalProperties: false
 *   }
 * }
 * ```
 *
 * @see https://docs.anthropic.com/en/docs/build-with-claude/structured-outputs
 * @category AI
 */
export interface AiStructuredOutputFormat {
    /**
     * The type of structured output.
     * Currently only 'json_schema' is supported by Anthropic models.
     */
    type: 'json_schema';
    /**
     * The JSON schema that the AI response must strictly conform to.
     * Uses constrained decoding to guarantee schema compliance.
     */
    schema: JSONSchema;
}
/**
 * Response format for AI agent responses.
 *
 * **Available formats:**
 * - `'text'`: Plain text response (default) - standard conversational output
 * - `'json_object'`: JSON response - model attempts to return valid JSON, but without strict schema validation
 * - `AiStructuredOutputFormat`: Structured output with schema (Anthropic only) - guarantees JSON conforms exactly to provided schema
 *
 * **Structured outputs (Anthropic-specific):**
 * For Anthropic models that support structured outputs, you can pass an object with `type: 'json_schema'`
 * and a JSON schema. This uses constrained decoding to guarantee the response matches your schema perfectly,
 * eliminating parsing errors and validation issues.
 *
 * **Example with structured output:**
 * ```typescript
 * {
 *   responseFormat: {
 *     type: 'json_schema',
 *     schema: {
 *       type: 'object',
 *       properties: {
 *         sentiment: { type: 'string', enum: ['positive', 'negative', 'neutral'] },
 *         confidence: { type: 'number', minimum: 0, maximum: 1 }
 *       },
 *       required: ['sentiment', 'confidence']
 *     }
 *   }
 * }
 * ```
 *
 * @category AI
 */
export type AiAgentResponseFormat = 'text' | 'json_object' | AiStructuredOutputFormat;
/**
 * @category AI
 */
export type AiFileUrlType = 'image' | 'document';
/**
 * Represents a URL reference to an AI-processed file, such as an image.
 * @category AI
 */
export interface AiFileUrl {
    /** The unique identifier for the file URL for the current request. */
    id: string;
    /** The type of file referenced by the URL (e.g., 'image'). */
    type: AiFileUrlType;
    /** The purpose of the file, indicating how it will be used in AI processing. */
    purpose: AiFilePurpose;
    /** The URL pointing to the file. */
    url: string;
    /** An optional description of the file's content or purpose - sent to the AI. */
    description?: string;
    /** The file name, can be used in the prompt to reference the file. */
    fileName?: string;
}
/**
 * The purpose of the AI file, used to determine how the file should be processed or utilized.
 *
 * - `'context'` - The file is included directly in the AI prompt as contextual content (e.g., images, PDFs).
 *   Use this for files that the AI should reference when generating a response.
 * - `'tools'` - The file is returned as part of a tool/function call result (e.g., query results, generated documents).
 *   Use this for files produced by AI tools or integrations that should be delivered to the caller alongside the response.
 */
export type AiFilePurpose = 'context' | 'tools';
/**
 * Metadata for an AI agent connected to an integration.
 * @category AI
 */
export interface AiConnectedIntegrationMetadata<AiConnectedIntegrationOptionsType = unknown> {
    /** The ID of the connected integration. */
    integrationId: IntegrationId;
    /** The type of the connected integration (e.g., API, database). */
    integrationType: IntegrationType;
    /** An optional description of the integration for the parent agent context, used as AI function description. */
    description?: string;
    /** Optional instructions for the connected integration agent, overriding the default if provided. */
    instructions?: string;
    /**
     * A list of AI function IDs that the AI agent can use from this integration.
     *
     * - When `undefined` (not provided), the AI agent has access to all AI functions for this integration type.
     * - When an empty array `[]`, the AI agent has access to no AI functions.
     * - When an array with function IDs, the AI agent only has access to those specific functions.
     *
     * Example function IDs: 'jiraService__searchJiraIssues', 'confluenceService__searchInConfluence'
     */
    functionsToUse?: AiFunctionId[];
    /**
     * Additional options for the connected integration.
     * Squid Core or AI functions in connector packages may use these options to adjust behavior of the integration agent.
     */
    options?: AiConnectedIntegrationOptionsType;
    /**
     * Indicates that this integration should be treated as an MCP server.
     * When true, API integrations with exposeAsMcpServer will be handled through the MCP protocol.
     */
    connectedAsMcp?: boolean;
}
/**
 * Metadata for a connected AI agent callable by the current agent.
 * @category AI
 */
export interface AiConnectedAgentMetadata {
    /** The ID of the connected AI agent. */
    agentId: AiAgentId;
    /** A description of the connected agent for the parent agent context, used as AI function description. */
    description: string;
}
/**
 * Metadata for a connected AI Knowledge Base callable by the current agent.
 * @category AI
 */
export interface AiConnectedKnowledgeBaseMetadata {
    /** The ID of the connected AI KnowledgeBase */
    knowledgeBaseId: AiKnowledgeBaseId;
    /** A description of when to use this AiKnowledgeBase */
    description: string;
    /** Whether to include document metadata when providing KB search results to the agent. Defaults to false. */
    includeMetadata?: boolean;
    /**
     * When true, the chat agent gets a tool to enumerate/search this KB's metadata field values on
     * demand. Off by default. (Chat surface only for now; MCP/CLI is not wired.)
     */
    enableMetadataInspection?: boolean;
}
/**
 * Quotas for a single AI chat prompt (`ask()` method call).
 * @category AI
 */
export interface AiChatPromptQuotas {
    /**
     * Maximum depth of AI call recursion allowed.
     * Recursion occurs when one AI agent calls another.
     * Note that, for simplicity of implementation, this option guarantees only the maximum recursion depth,
     * not the total number of nested AI calls.
     * Default: 5.
     */
    maxAiCallStackSize: number;
    /**
     * Maximum wall-clock runtime, in seconds, of a single prompt for CLI-agent models
     * (Claude Code, Codex). Optional override of the per-call self-kill deadline — mainly to
     * tighten it for stricter runaway protection — clamped to [30, 1800]. Ignored for
     * non-CLI-agent models. Default: the platform maximum (30 minutes).
     */
    maxRuntimeSeconds?: number;
}
/**
 * Options for AI agent execution plan, allowing the agent to plan what functionality to use (connected agents,
 * connected, integrations, or functions).
 */
export interface AiAgentExecutionPlanOptions {
    /** Whether to enable an execution plan for the agent. */
    enabled: boolean;
    /** The model to use for the execution plan - defaults to the model used by the agent. */
    model?: AiChatModelSelection;
    /** In case the model supports reasoning, this will control the level of effort - defaults to `high`. */
    reasoningEffort?: AiReasoningEffort;
    /**
     * Whether the agent is allowed to ask follow-up or clarification questions.
     * If true, the agent can respond with questions to gather more information before completing the task.
     * Defaults to false.
     */
    allowClarificationQuestions?: boolean;
}
/**
 * The memory mode for an AI agent:
 *   - 'none': No memory is used, the agent does not remember past interactions.
 *   - 'read-only': The agent can read from memory but cannot write to it.
 *   - 'read-write': The agent can both read from and write to memory.
 * @category AI
 */
export type AiAgentMemoryMode = 'none' | 'read-only' | 'read-write';
/**
 * Options for AI agent memory management.
 * @category AI
 */
export interface AiAgentMemoryOptions {
    /**
     * The memory mode for an AI agent.
     *
     * Note: Squid persists chat history in its own store only for models whose provider does NOT manage memory
     * itself. For provider-managed-memory models (e.g. Claude Code, which keeps its own CLI session), this mode
     * still controls whether the conversation resumes, but Squid never reads or writes its own history DB.
     */
    memoryMode: AiAgentMemoryMode;
    /**
     * A unique ID to store the chat memory.
     *
     * The full chat memory key is constructed as a combination of 'appId', 'agentId', and 'memoryId'.
     * If not provided the Squid client instance ID used as a memoryId.
     *
     * Important: the memory ID should be treated with the same security measures as Access Token because it unblocks
     * direct access to the agent chat history. A good practice is to use a non-trivial and a unique value.
     */
    memoryId?: string;
    /**
     * Overrides the expiration for the whole chat history.
     * If not provided, the expiration will not be changed.
     *
     * Default: the last provided expiration by user or 1 day if
     *  the user didn't provide any expiration.
     */
    expirationMinutes?: number;
}
/**
 * Model specification for integration-based LLM providers like Ollama.
 * @category AI
 */
export interface IntegrationModelSpec {
    /** The integration ID that provides the LLM */
    integrationId: IntegrationId;
    /** The model name within that integration */
    model: string;
}
/**
 * Type for specifying which LLM model to use.
 * Can be either a vendor model name (string) or an integration-based model (object).
 * @category AI
 */
export type AiChatModelSelection = AiChatModelName | IntegrationModelSpec;
/**
 * The base AI agent chat options, should not be used directly.
 * @category AI
 */
export interface BaseAiChatOptions {
    /**
     * The maximum number of input tokens that Squid can use when making the request to the AI model.
     * Defaults to the max tokens the model can accept.
     */
    maxTokens?: number;
    /**
     * The maximum number of tokens the model should output.
     * Passed directly to the AI model. Can be used to control the output verbosity.
     */
    maxOutputTokens?: number;
    /** The context ID to use for the request. If not provided, the agent's default context will be used. */
    memoryOptions?: AiAgentMemoryOptions;
    /**
     * Names a shared working directory for CLI-backed agents (`claude-code`, `codex`). When set, the agent
     * runs in `/data/workspaces/<sharedWorkspaceId>` on the app's shared storage, so files created in
     * one ask persist and are visible to later asks reusing the same id — including across providers.
     *
     * Pass the same id consistently for a conversation; changing it points the agent at a different
     * directory (and, for Claude Code, starts a fresh transcript). Must match `[A-Za-z0-9_-]` (1-200 chars).
     * Ignored by non-CLI agents and when shared storage is unavailable (falls back to an ephemeral dir).
     */
    sharedWorkspaceId?: string;
    /** Whether to disable the whole context for the request. Default to false. */
    disableContext?: boolean;
    /**
     * Whether to use the legacy knowledge base context mode, where KB results are fetched upfront
     * and appended directly to the prompt. When false (default), the KB is exposed as a callable
     * tool that the LLM can invoke on demand.
     */
    legacyKnowledgeBaseContext?: boolean;
    /** Rewrite prompt for RAG - defaults to false */
    enablePromptRewriteForRag?: boolean;
    /** Whether to include references from the source context in the response. Default to false. */
    includeReference?: boolean;
    /** The format of the response from the AI model. Note that not all models support JSON format. Default to  'text'. */
    responseFormat?: AiAgentResponseFormat;
    /** Whether to response in a "smooth typing" way, beneficial when the chat result is displayed in a UI. Default to true. */
    smoothTyping?: boolean;
    /** Global context passed to the agent and all AI functions of the agent. */
    agentContext?: Record<string, unknown>;
    /**
     * Functions to expose to the AI.
     * Either a function name or a name with an extra function context passed only to this function.
     * The parameter values must be valid serializable JSON values.
     * Overrides the stored value.
     */
    functions?: Array<AiFunctionId | AiFunctionIdWithContext>;
    /** Instructions to include with the prompt. */
    instructions?: string;
    /** A set of filters that will limit the context the AI can access.
     * @deprecated use `contextMetadataFilterForKnowledgeBase` instead.
     */
    contextMetadataFilter?: AiContextMetadataFilter;
    /** A set of filters that will limit the context the AI can access. */
    contextMetadataFilterForKnowledgeBase?: Record<AiKnowledgeBaseId, AiContextMetadataFilter>;
    /** The options to use for the response in voice. */
    voiceOptions?: AiAudioCreateSpeechOptions;
    /** List of connected AI agents can be called by the current agent. Overrides the stored value. */
    connectedAgents?: Array<AiConnectedAgentMetadata>;
    /** List of connected AI agents can be called by the current agent. Overrides the stored value. */
    connectedIntegrations?: Array<AiConnectedIntegrationMetadata>;
    /** List of connected AiKnowlegeBases that can be called by the current agent */
    connectedKnowledgeBases?: Array<AiConnectedKnowledgeBaseMetadata>;
    /** Current budget for nested or recursive AI chat calls per single prompt. */
    quotas?: AiChatPromptQuotas;
    /**
     * Include metadata in the context.
     * @deprecated Use `includeMetadata` on individual `AiConnectedKnowledgeBaseMetadata` entries in `connectedKnowledgeBases` instead.
     */
    includeMetadata?: boolean;
    /** The temperature to use when sampling from the model. Default to 0.5. */
    temperature?: number;
    /** Preset instruction options that can be toggled on */
    guardrails?: GuardrailsOptions;
    /** The LLM model to use. Can be a vendor model name (string) or an integration-based model (object). */
    model?: AiChatModelSelection;
    /** Which provider's reranker to use for reranking the context. Defaults to 'cohere'. */
    rerankProvider?: AiRerankProvider;
    /**
     * Options for AI agent execution plan, allowing the agent to perform an execution plan before invoking
     * connected agents, connected integrations, or functions.
     */
    executionPlanOptions?: AiAgentExecutionPlanOptions;
    /** An array of file URLs to include in the chat context. */
    fileUrls?: Array<AiFileUrl>;
    /**
     * Arbitrary client-defined annotations attached to this AI call for usage tracking.
     * Reported as `annotation.<key>` tags on Squid AI usage metrics, so token usage can later be
     * filtered and grouped by these values (e.g. `{ feature: 'support-bot', requestSource: 'mobile' }`).
     * Inherited by nested calls to connected agents made while serving this call.
     * Limits: at most 10 entries, keys up to 64 characters, values up to 256 characters;
     * entries beyond the limits are dropped or truncated.
     */
    metricAnnotations?: Record<string, string>;
    /**
     * The level of reasoning effort to apply; defaults to model-specific value.
     * Effective only for models with reasoning.
     */
    reasoningEffort?: AiReasoningEffort;
    /**
     * Controls response length and detail level.
     * Use `low` for brief responses, `medium` for balanced detail, or `high` for comprehensive explanations.
     * Default: 'medium'.
     *
     * Note: this parameter is only supported by OpenAI plain text responses and is ignored for others.
     * For other providers ask about verbosity in prompt and using `maxOutputTokens`.
     */
    verbosity?: AiVerbosityLevel;
    /**
     * Enable LLMs built-in code interpreter for executing Python code.
     * - 'none': Code interpreter is disabled (default).
     * - 'llm': Use LLM's native code interpreter to run Python code.
     *
     * Note: Only supported by OpenAI, Anthropic and Gemini models. Ignored for other providers.
     */
    useCodeInterpreter?: 'none' | 'llm';
    /**
     * File IDs to include in the chat context.
     * These are IDs returned from the AI provider's Files API after uploading files.
     * Files are attached to the conversation and can be read/analyzed by the AI.
     */
    fileIds?: string[];
    /** Timeout in milliseconds for the entire chat request. Defaults to 240,000 (4 minutes). */
    timeoutMs?: number;
    /** Maximum number of tool-call iterations the model may perform in a single chat turn. Defaults to 50. */
    maxToolIterations?: number;
}
/**
 * Chat options specific to Gemini models, extending base options.
 * @category AI
 */
export interface GeminiChatOptions extends BaseAiChatOptions {
    /** The Gemini model to use for the chat. */
    model?: GeminiChatModelName;
    /** Enables grounding with web search for more informed responses; defaults to false. */
    groundingWithWebSearch?: boolean;
}
/**
 * Chat options specific to Grok models, extending base options.
 * @category AI
 */
export interface GrokChatOptions extends BaseAiChatOptions {
    /** The Grok model to use for the chat. */
    model?: GrokChatModelName;
}
/**
 * Chat options specific to OpenAI models, extending base options.
 * @category AI
 */
export interface OpenAiChatOptions extends BaseAiChatOptions {
    /** The OpenAI model to use for the chat. */
    model?: OpenAiChatModelName;
}
/**
 * Canonical reasoning-effort levels, ordered from least to most effort. These are the values that
 * have a defined position on the effort axis and therefore participate in clamping when a model does
 * not support the exact requested level.
 * @category AI
 */
export type CanonicalReasoningEffort = 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | 'max';
/**
 * AI reasoning effort. Pass one of the canonical levels for portable, autocomplete-friendly usage, or
 * a raw provider-native string when a model exposes a level outside the canonical set.
 *
 * Resolution against the selected model (see {@link ReasoningCapability}):
 * - exact match with the model's capability -> used as-is (1:1);
 * - canonical level the model lacks -> clamped to the nearest supported level (ties resolve downward);
 * - unknown string the model cannot place on the axis -> dropped, so the model's own default applies,
 *   with a warning;
 * - model without a reasoning knob -> ignored, with a warning.
 * @category AI
 */
export type AiReasoningEffort = CanonicalReasoningEffort | (string & {});
/**
 * Declares how a model exposes reasoning effort. Used as the single source of truth for resolving a
 * requested {@link AiReasoningEffort} onto what the model natively accepts. When a request cannot be
 * matched or clamped, no reasoning parameter is emitted and the model applies its own native default.
 *
 * - `none`: the model has no reasoning knob (e.g. it always reasons).
 * - `levels`: the model accepts a fixed set of named levels (emitted as a string).
 * - `budget`: the model accepts a token budget; each canonical level maps to a concrete integer.
 * @category AI
 */
export type ReasoningCapability = {
    kind: 'none';
} | {
    kind: 'levels';
    supported: AiReasoningEffort[];
} | {
    kind: 'budget';
    perLevel: Partial<Record<CanonicalReasoningEffort, number>>;
};
/**
 * Controls response length and detail level.
 * Use `low` for brief responses,`medium` for balanced detail, or `high` for comprehensive explanations.
 * Default: 'medium'.
 */
export type AiVerbosityLevel = 'low' | 'medium' | 'high';
/**
 * Chat options specific to Anthropic models, extending base options.
 *
 * **Structured Outputs:**
 * Anthropic models support structured outputs
 * through the `responseFormat` field. Pass an object with `type: 'json_schema'` and a JSON schema
 * to guarantee the response conforms exactly to your schema.
 *
 * **Example:**
 * ```typescript
 * {
 *   model: 'claude-sonnet-5',
 *   responseFormat: {
 *     type: 'json_schema',
 *     schema: {
 *       type: 'object',
 *       properties: {
 *         name: { type: 'string' },
 *         age: { type: 'number' }
 *       },
 *       required: ['name', 'age'],
 *       additionalProperties: false
 *     }
 *   }
 * }
 * ```
 *
 * @see https://docs.anthropic.com/en/docs/build-with-claude/structured-outputs
 * @category AI
 */
export interface AnthropicChatOptions extends BaseAiChatOptions {
    /** The Anthropic model to use for the chat. */
    model?: AnthropicChatModelName;
}
/**
 * The generic options type. When no generic is provided,
 * the type is inferred from the provided overrideModel (or falls back to BaseAiAgentChatOptions).
 * @category AI
 */
export type AiChatOptions<T extends AiChatModelSelection | undefined = undefined> = T extends undefined ? BaseAiChatOptions | GeminiChatOptions | OpenAiChatOptions | AnthropicChatOptions : T extends GeminiChatModelName ? GeminiChatOptions : T extends OpenAiChatModelName ? OpenAiChatOptions : T extends AnthropicChatModelName ? AnthropicChatOptions : T extends GrokChatModelName ? GrokChatOptions : BaseAiChatOptions;
/**
 * @category AI
 */
export type AllAiAgentChatOptions = {
    [K in keyof BaseAiChatOptions | keyof GeminiChatOptions | keyof GrokChatOptions | keyof OpenAiChatOptions | keyof AnthropicChatOptions]?: (K extends keyof BaseAiChatOptions ? BaseAiChatOptions[K] : never) | (K extends keyof GeminiChatOptions ? GeminiChatOptions[K] : never) | (K extends keyof GrokChatOptions ? GrokChatOptions[K] : never) | (K extends keyof OpenAiChatOptions ? OpenAiChatOptions[K] : never) | (K extends keyof AnthropicChatOptions ? AnthropicChatOptions[K] : never);
};
/**
 * A definition of an AI agent with its properties and default chat options.
 * @category AI
 */
export interface AiAgent<T extends AiChatModelSelection | undefined = undefined> {
    /** The unique identifier of the AI agent. */
    id: AiAgentId;
    /** The date and time the agent was created. */
    createdAt: Date;
    /** The date and time the agent was last updated. */
    updatedAt: Date;
    /** An optional description of the agent's purpose or capabilities. */
    description?: string;
    /** Indicates whether the agent is publicly accessible; defaults to false. */
    isPublic?: boolean;
    /** Enables audit logging for the agent's activities if true; defaults to false. */
    auditLog?: boolean;
    /** The default chat options for the agent, overridable by the user during use. */
    options: AiChatOptions<T>;
    /** Optional api key used specifically for operations on this agent */
    apiKey?: string;
}
/**
 * @category AI
 */
export type UpsertAgentRequest = Omit<AiAgent, 'createdAt' | 'updatedAt' | 'options'> & {
    options?: AiChatOptions;
};
/**
 * Status update title broadcast when the agent finishes producing a response,
 * either successfully or with an error. Emitted exactly once per `ask` job and
 * is the last status event for that job.
 * @category AI
 */
export declare const AGENT_STATUS_TITLE_AGENT_RESPONSE = "Agent Response";
/**
 * Status update title broadcast when the agent invokes a knowledge-base
 * callable. A matching invocation produces a single event with this title.
 * @category AI
 */
export declare const AGENT_STATUS_TITLE_ACCESSING_KB = "Accessing Knowledge Base";
/**
 * Status update title broadcast when the agent invokes an AI function callable
 * (a backend `@aiFunction`). Lets a caller detect that a function was actually
 * called, independent of how the model renders the result in its final answer.
 * @category AI
 */
export declare const AGENT_STATUS_TITLE_CALLING_AI_FUNCTION = "Calling AI Function";
/**
 * Status update title broadcast when the agent invokes a knowledge-base metadata-inspection callable
 * (the opt-in `enableMetadataInspection` tool). Distinct from {@link AGENT_STATUS_TITLE_ACCESSING_KB}
 * so a caller can tell a metadata-value inspection apart from an ordinary KB search.
 * @category AI
 */
export declare const AGENT_STATUS_TITLE_INSPECTING_KB_METADATA = "Inspecting Knowledge Base Metadata";
/**
 * Status update title broadcast when the agent queries a spreadsheet file callable.
 * @category AI
 */
export declare const AGENT_STATUS_TITLE_QUERYING_SPREADSHEET = "Querying Spreadsheet";
/**
 * A status message from an AI agent operation.
 * @category AI
 */
export interface AiStatusMessage {
    /** ID of the status update message. */
    messageId: string;
    /** The ID of the agent generating the status message. */
    agentId?: AiAgentId;
    /** An optional chat ID associated with the status message. */
    chatId?: string;
    /** The title or summary of the status message. */
    title: string;
    /** Markdown body content for the status update. */
    body: string;
    /** ID of the parent status update for nested display. */
    parentStatusUpdateId?: string;
    /** The Job ID associated with the status message. */
    jobId: JobId;
    /** Optional tags providing additional metadata about the status. */
    tags?: Record<string, any>;
}
/** List of all chat history (memory) sources. */
export declare const AI_CHAT_MESSAGE_SOURCE: readonly ["user", "ai"];
/** Source of the chat history entry: either an AI response or a user. */
export type AiChatMessageSource = (typeof AI_CHAT_MESSAGE_SOURCE)[number];
/** A history entry for a chat. */
export interface AiChatMessage {
    /** ID of the entry. Unique per agent. */
    id: string;
    /** Agent's application. */
    appId: AppId;
    /** The ID of the agent that owns the history. */
    agentId: AiAgentId;
    /** A memory (history) ID associated with the chat conversation. */
    memoryId: string;
    /** The source of the message: a user or an AI. */
    source: AiChatMessageSource;
    /** The text of the entry: a user's prompt or an AI-generated response. */
    message: string;
    /** Time the entry is created. Unix time millis. */
    timestamp: number;
}
/**
 * A single chunk of data returned from an AI search operation.
 * @category AI
 */
export interface AiSearchResultChunk {
    /** The data content of the search result chunk. */
    data: string;
    /** Optional metadata associated with the chunk. */
    metadata?: AiContextMetadata;
    /** The relevance score of the chunk, indicating match quality. */
    score: number;
}
/**
 * Represents an AI agent's context entry with metadata and content.
 * @category AI
 */
export interface AiAgentContext {
    /** The unique identifier of the context entry. */
    id: AiContextId;
    /** The date and time the context was created. */
    createdAt: Date;
    /** The date and time the context was last updated. */
    updatedAt: Date;
    /** The ID of the agent owning this context. */
    agentId: AiAgentId;
    /** The type of context (e.g., 'text' or 'file'). */
    type: AiKnowledgeBaseContextType;
    /** A title describing the context content. */
    title: string;
    /** The text content of the context. */
    text: string;
    /** Indicates whether the context is a preview; defaults to false. */
    preview: boolean;
    /** The size of the context content in bytes. */
    sizeBytes: number;
    /** Metadata associated with the context. */
    metadata: AiContextMetadata;
}
/**
 * @category AI
 */
export type AgentContextRequest = TextContextRequest | FileContextRequest;
interface BaseContextRequest {
    contextId: string;
    type: AiKnowledgeBaseContextType;
    metadata?: AiContextMetadata;
}
/**
 * Status of an individual context item after successfully upserting it.
 * @category AI
 */
export interface BaseUpsertContextStatus {
    /** Whether the context upsert was successful, otherwise, what occurred. */
    status: 'success' | 'error';
    /** The unique identifier of the context item. */
    contextId: string;
    /** The name of the context item, typically the title or filename. */
    name: string;
}
/**
 * Status of an individual context item after successfully upserting it.
 * @category AI
 */
export interface UpsertContextStatusSuccess extends BaseUpsertContextStatus {
    /** Whether the context upsert was successful or got an error. */
    status: 'success';
}
/**
 * Status of an individual context item after it failed to upsert.
 *
 * Contains the error message for why the upsert failed.
 * @category AI
 */
export interface UpsertContextStatusError extends BaseUpsertContextStatus {
    /** Whether the context upsert was successful or got an error. */
    status: 'error';
    /** Reason the upsert failed. */
    errorMessage: string;
}
/**
 * Status of an individual context item after attempting to upsert it.
 * @category AI
 */
export type UpsertContextStatus = UpsertContextStatusSuccess | UpsertContextStatusError;
/**
 * Response structure for upserting context.
 * @category AI
 */
export interface UpsertAgentContextResponse {
    /** Upsert failure that occurred for the items sent in the request. */
    failure?: UpsertContextStatusError;
}
/**
 * Response structure for upserting contexts.
 * @category AI
 */
export interface UpsertAgentContextsResponse {
    /** List of the upsert failures that occurred for the items sent in the request. */
    failures: Array<UpsertContextStatusError>;
}
/**
 * Base options for upserting text content into the AI agent's context.
 * @category AI
 */
export interface AiContextTextOptions extends BaseAiContextOptions {
}
/**
 * Base options for upserting file content into the AI agent's context.
 * @category AI
 */
export interface AiContextFileOptions extends BaseAiContextOptions {
}
/**
 * Request structure for adding text-based context to an AI agent.
 * @category AI
 */
export interface TextContextRequest extends BaseContextRequest {
    /** Specifies the context type as 'text'. */
    type: 'text';
    /** A title for the text context. */
    title: string;
    /** The text content to add to the context. */
    text: string;
    /** General options for how to process the text. */
    options?: AiContextTextOptions;
}
/**
 * Request structure for adding file-based context to an AI agent.
 * @category AI
 */
export interface FileContextRequest extends BaseContextRequest {
    /** Specifies the context type as 'file'. */
    type: 'file';
    /** Whether to extract images from the file; defaults to false. */
    extractImages?: boolean;
    /** The minimum size for extracted images, if applicable. */
    imageMinSizePixels?: number;
    /** The AI model to use for extraction, if specified. */
    extractionModel?: AiChatModelSelection;
    /** General options for how to process the file. */
    options?: AiContextFileOptions;
    /** The preferred method for extracting data from the document. */
    preferredExtractionMethod?: DocumentExtractionMethod;
    /**
     * Whether Squid keeps or discards the original file.
     *
     * Keeping the original file allows reprocessing and the ability for the user to download it later.
     *
     * Defaults to false.
     */
    discardOriginalFile?: boolean;
}
/**
 * Base options for how to deal with the content being upserted.
 * @category AI
 */
export type BaseAiContextOptions = {
    /** The type of RAG to use for the content. */
    ragType?: AiRagType;
    /** Amount of chunk overlap, in characters. */
    chunkOverlap?: number;
};
/**
 * @category AI
 */
export type GuardrailKeysType = 'disableProfanity' | 'offTopicAnswers' | 'professionalTone' | 'disablePii';
/**
 * Options for applying guardrails to AI responses to enforce specific constraints.
 * @category AI
 */
export type GuardrailsOptions = {
    /** Disables profanity in the AI response if true; defaults to false. */
    disableProfanity?: boolean;
    /** Prevents off-topic answers if true; defaults to false. */
    offTopicAnswers?: boolean;
    /** Enforces a professional tone in the response if true; defaults to false. */
    professionalTone?: boolean;
    /** Disables inclusion of personally identifiable information if true; defaults to false. */
    disablePii?: boolean;
    /** A custom guardrail instruction, if specified. */
    custom?: string;
};
/**
 * Response structure for transcribing audio and asking an AI agent a question.
 * @category AI
 */
export interface AiTranscribeAndAskResponse {
    /** The AI agent's response to the transcribed prompt. */
    responseString: string;
    /** The transcribed text from the audio input. */
    transcribedPrompt: string;
    /** The annotations associated with the AI response, if any. */
    annotations?: Record<string, AiAnnotation>;
}
/** Per application AI settings. */
export interface ApplicationAiSettings {
    /** Maps AI provider name to API key secret name that must be used for any request made by the application. */
    apiKeys: Partial<Record<AiProviderType, SecretKey>>;
}
/**
 * Options for user-provided LLM models.
 * @category AI
 */
export interface UserAiChatOptions extends BaseAiChatOptions {
    /** LLM Model to use for the chat query. */
    model: UserAiChatModelName;
}
/**
 * Response structure for asking a user LLM a question.
 * @category AI
 */
export interface UserAiAskResponse {
    /** The response from the AI agent. */
    response?: string;
    /** The number of input tokens used in the request. */
    inputTokens?: number;
    /** The number of output tokens generated by the AI agent. */
    outputTokens?: number;
    /** Cached input tokens read from the prompt cache. Only set by providers that report it (e.g. claude-code). */
    cacheReadInputTokens?: number;
    /** Input tokens written to the prompt cache. Only set by providers that report it (e.g. claude-code). */
    cacheWriteInputTokens?: number;
    /** Total request cost in USD as reported by the provider. Only set by providers that compute it (e.g. claude-code). */
    totalCostUsd?: number;
}
/** Represents an annotation in the AI response. */
export type AiAnnotation = AiFileAnnotation;
/** Represents an annotation for a file in the AI response. */
export interface AiFileAnnotation {
    /** The type of the annotation, always 'file'. */
    type: 'file';
    /** The AI file with the URL to the file */
    aiFileUrl: AiFileUrl;
}
/**
 * Context for an AI session
 */
export type AiSessionContext = {
    /** The ID of the client initiating the session. */
    clientId: string;
    /** The ID of the AI agent involved in the session. */
    agentId: string;
    /** The ID of the job associated with the session. */
    jobId: JobId;
    /**
     * The effective chat timeout (in milliseconds) of the session that initiated this AI work.
     * Present only when the root chat request explicitly set `timeoutMs`. Nested AI operations
     * (e.g. AI-query stages spawned by a tool call) use it as a fallback budget so a long-running
     * parent chat is not silently capped by the nested defaults.
     */
    timeoutMs?: number;
};
/**
 * API request to delete an AI agent
 * @category AI
 */
export interface DeleteAgentRequest {
    /** The ID of the agent to delete */
    agentId: string;
}
/**
 * API response from agent ask methods
 * @category AI
 */
export interface AiAskResponse {
    /** The response string from the agent */
    responseString: string;
    /** Optional annotations (e.g., file references) in the response */
    annotations?: Record<string, AiAnnotation>;
}
/**
 * API request to create speech from text
 * @category AI
 */
export interface AiAudioCreateSpeechRequest {
    /** The text input to convert to speech */
    input: string;
    /** Options for speech generation */
    options: AiAudioCreateSpeechOptions;
}
/**
 * API request to generate an image
 * @category AI
 */
export interface AiGenerateImageRequest {
    /** The prompt describing the image to generate */
    prompt: string;
    /** Options for image generation */
    options?: AiGenerateImageOptions;
}
/**
 * Revision action types for agent history tracking.
 * @category AI
 */
export type AiAgentRevisionAction = 'created' | 'updated' | 'deleted';
/**
 * Represents a single agent revision entry.
 * @category AI
 */
export interface AiAgentRevision {
    /** The ID of the agent this revision belongs to. */
    agentId: AiAgentId;
    /** The revision number, incremented for each change to the agent. */
    revisionNumber: number;
    /** The action that triggered this revision (created, updated, or deleted). */
    action: AiAgentRevisionAction;
    /** Timestamp when this revision was created. */
    createdAt: Date;
    /** Snapshot of the agent data at the time of the revision. */
    agentSnapshot: AiAgent;
}
/**
 * Request to list all revisions for an agent.
 * @category AI
 */
export interface ListAgentRevisionsRequest {
    /** The ID of the agent to list revisions for. */
    agentId: AiAgentId;
}
/**
 * Response containing the list of agent revisions.
 * @category AI
 */
export interface ListAgentRevisionsResponse {
    /** The list of revisions for the agent, sorted by revision number descending. */
    revisions: Array<AiAgentRevision>;
}
/**
 * Request to get a specific agent revision.
 * @category AI
 */
export interface GetAgentRevisionRequest {
    /** The ID of the agent to get the revision for. */
    agentId: AiAgentId;
    /** The revision number to retrieve. */
    revisionNumber: number;
}
/**
 * Response containing a specific agent revision.
 * @category AI
 */
export interface GetAgentRevisionResponse {
    /** The requested revision, or undefined if not found. */
    revision: AiAgentRevision | undefined;
}
/**
 * Request to restore an agent to a specific revision.
 * @category AI
 */
export interface RestoreAgentRevisionRequest {
    /** The ID of the agent to restore. */
    agentId: AiAgentId;
    /** The revision number to restore the agent to. */
    revisionNumber: number;
}
/**
 * Request to delete a specific agent revision.
 * @category AI
 */
export interface DeleteAgentRevisionRequest {
    /** The ID of the agent whose revision should be deleted. */
    agentId: AiAgentId;
    /** The revision number to delete. */
    revisionNumber: number;
}
/**
 * Options for the agent builder.
 * @category AI
 */
export interface BuildAgentOptions {
    /** Whether the caller has permission to create or update integrations. Defaults to false. */
    canManageIntegrations?: boolean;
}
/**
 * Response containing the list of AI agents in an application.
 * @category AI
 */
export interface ListAgentsResponse {
    /** All AI agents defined for the application. */
    agents: Array<AiAgent>;
}
/**
 * Request options for listing the chat models available to an application.
 * @category AI
 */
export interface ListChatModelsRequest {
    /**
     * When true, deprecated vendor models (those with `replacedBy`) are included.
     * Defaults to false (only active models are returned).
     */
    includeDeprecated?: boolean;
}
/**
 * Response containing the list of chat models available to an application.
 * Includes both Squid-provided vendor models and any custom integration models.
 * Vendor models carry a human-readable `description`. Deprecated vendor models are
 * included only when requested via `includeDeprecated` and are marked with `replacedBy`.
 * @category AI
 */
export interface ListChatModelsResponse {
    /** All chat models available to the application. */
    models: Array<ModelIdSpec>;
}
export {};