import type { TelemetryContext } from "@earendil-works/pi-telemetry";
import type { AnthropicOptions } from "./api/anthropic-messages.ts";
import type { AzureOpenAIResponsesOptions } from "./api/azure-openai-responses.ts";
import type { BedrockOptions } from "./api/bedrock-converse-stream.ts";
import type { GoogleOptions } from "./api/google-generative-ai.ts";
import type { GoogleVertexOptions } from "./api/google-vertex.ts";
import type { MistralOptions } from "./api/mistral-conversations.ts";
import type { OpenAICodexResponsesOptions } from "./api/openai-codex-responses.ts";
import type { OpenAICompletionsOptions } from "./api/openai-completions.ts";
import type { OpenAIResponsesOptions } from "./api/openai-responses.ts";
import type { PiMessagesOptions } from "./api/pi-messages.ts";
import type { AssistantMessageDiagnostic } from "./utils/diagnostics.ts";
import type { AssistantMessageEventStream } from "./utils/event-stream.ts";
export type { AssistantMessageEventStream } from "./utils/event-stream.ts";
export type KnownApi = "openai-completions" | "mistral-conversations" | "openai-responses" | "azure-openai-responses" | "openai-codex-responses" | "anthropic-messages" | "bedrock-converse-stream" | "google-generative-ai" | "google-vertex" | "pi-messages";
export type Api = KnownApi | (string & {});
export type KnownImagesApi = "openrouter-images";
export type ImagesApi = KnownImagesApi | (string & {});
export type KnownProvider = "amazon-bedrock" | "ant-ling" | "anthropic" | "google" | "google-vertex" | "openai" | "azure-openai-responses" | "openai-codex" | "radius" | "nvidia" | "deepseek" | "github-copilot" | "xai" | "groq" | "cerebras" | "openrouter" | "vercel-ai-gateway" | "zai" | "zai-coding-cn" | "mistral" | "minimax" | "minimax-cn" | "moonshotai" | "moonshotai-cn" | "huggingface" | "fireworks" | "together" | "baseten" | "opencode" | "opencode-go" | "kimi-coding" | "cloudflare-workers-ai" | "cloudflare-ai-gateway" | "qwen-token-plan" | "qwen-token-plan-cn" | "xiaomi" | "xiaomi-token-plan-cn" | "xiaomi-token-plan-ams" | "xiaomi-token-plan-sgp";
export type ProviderId = KnownProvider | string;
export type KnownImagesProvider = "openrouter";
export type ImagesProviderId = KnownImagesProvider | string;
export type ThinkingLevel = "minimal" | "low" | "medium" | "high" | "xhigh" | "max";
export type ModelThinkingLevel = "off" | ThinkingLevel;
export type ThinkingLevelMap = Partial<Record<ModelThinkingLevel, string | null>>;
export type ChatTemplateKwargValue = string | number | boolean | null | {
    $var: "thinking.enabled" | "thinking.effort";
    omitWhenOff?: boolean;
};
/** Token budgets for each thinking level (token-based providers only) */
export interface ThinkingBudgets {
    minimal?: number;
    low?: number;
    medium?: number;
    high?: number;
}
export type CacheRetention = "none" | "short" | "long";
export type Transport = "sse" | "websocket" | "websocket-cached" | "auto";
/** Provider-scoped environment overrides. Values take precedence over process.env. */
export type ProviderEnv = Record<string, string>;
export type ProviderHeaders = Record<string, string | null>;
export type FetchFunction = typeof globalThis.fetch;
export type SessionAffinityFormat = "openai" | "openai-nosession" | "openrouter";
export interface ProviderResponse {
    status: number;
    headers: Record<string, string>;
}
/** Authentication, HTTP transport, and lifecycle callbacks shared by provider requests. */
export interface ProviderRequestOptions<TModel = Model<Api>> {
    signal?: AbortSignal;
    /** Explicit parent context for telemetry produced by this logical request. */
    telemetryContext?: TelemetryContext;
    apiKey?: string;
    /**
     * Optional fetch implementation for provider HTTP requests.
     * Defaults to `globalThis.fetch`. Provider adapters that cannot inject a custom implementation may reject it.
     * This does not affect WebSocket transports.
     */
    fetch?: FetchFunction;
    /**
     * Provider-scoped environment values. These take precedence over process.env for
     * provider configuration such as regional settings, endpoint placeholders, and
     * proxy variables.
     */
    env?: ProviderEnv;
    /**
     * Optional callback for inspecting or replacing provider payloads before sending.
     * Return undefined to keep the payload unchanged.
     */
    onPayload?: (payload: unknown, model: TModel) => unknown | undefined | Promise<unknown | undefined>;
    /**
     * Optional callback invoked after an HTTP response is received.
     */
    onResponse?: (response: ProviderResponse, model: TModel) => void | Promise<void>;
    /**
     * Optional custom HTTP headers to include in API requests.
     * Merged with provider defaults; caller values override default headers.
     * On AWS Bedrock these are injected via a Smithy `build`-step middleware so
     * they are covered by SigV4 signing; reserved headers (`x-amz-*`,
     * `authorization`, `host`) are silently ignored to preserve SigV4 / bearer auth.
     * A null value suppresses a provider/API default header with the same name.
     */
    headers?: ProviderHeaders;
    /**
     * HTTP request timeout in milliseconds for providers/SDKs that support it.
     * For example, OpenAI and Anthropic SDK clients default to 10 minutes.
     */
    timeoutMs?: number;
    /**
     * Maximum retry attempts for providers/SDKs that support client-side retries.
     * For example, OpenAI and Anthropic SDK clients default to 2.
     */
    maxRetries?: number;
    /**
     * Maximum delay in milliseconds to wait for a retry when the server requests a long wait.
     * If the server's requested delay exceeds this value, the request fails immediately
     * with an error containing the requested delay, allowing higher-level retry logic
     * to handle it with user visibility.
     * Default: 60000 (60 seconds). Set to 0 to disable the cap.
     */
    maxRetryDelayMs?: number;
}
export interface StreamOptions extends ProviderRequestOptions<Model<Api>> {
    /**
     * Optional callback invoked after an HTTP response is received and before
     * its body stream is consumed.
     */
    onResponse?: (response: ProviderResponse, model: Model<Api>) => void | Promise<void>;
    temperature?: number;
    /**
     * Arbitrary sampling parameters merged into the request body as-is, after the named request
     * fields, so keys here override them. Lets custom OpenAI-compatible servers (llama.cpp, vLLM,
     * SGLang, ...) receive parameters pi does not model, e.g. `top_p`, `top_k`, `min_p`,
     * `repetition_penalty`. Merged over `Model.samplingParams` per key. Only applied by
     * OpenAI-compatible adapters (completions, responses, Azure responses); other APIs ignore it.
     */
    samplingParams?: Record<string, unknown>;
    maxTokens?: number;
    /**
     * Preferred transport for providers that support multiple transports.
     * Providers that do not support this option ignore it.
     */
    transport?: Transport;
    /**
     * Prompt cache retention preference. Providers map this to their supported values.
     * Default: "short".
     */
    cacheRetention?: CacheRetention;
    /**
     * Optional session identifier for providers that support session-based caching.
     * Providers can use this to enable prompt caching, request routing, or other
     * session-aware features. Ignored by providers that don't support it.
     */
    sessionId?: string;
    /**
     * WebSocket connect timeout in milliseconds for providers that support
     * WebSocket transports. This covers the connection/open handshake only;
     * stream idleness after connection uses timeoutMs.
     */
    websocketConnectTimeoutMs?: number;
    /**
     * Optional metadata to include in API requests.
     * Providers extract the fields they understand and ignore the rest.
     * For example, Anthropic uses `user_id` for abuse tracking and rate limiting.
     */
    metadata?: Record<string, unknown>;
}
export type ProviderStreamOptions = StreamOptions & Record<string, unknown>;
export interface DeferredFetchOptions extends ProviderRequestOptions<Model<Api>> {
    /**
     * Maximum provider long-poll duration in milliseconds.
     * Defaults to 0, which performs one status check.
     */
    wait?: number;
}
/** Request options for best-effort deferred-response cancellation. */
export type DeferredCancelOptions = ProviderRequestOptions<Model<Api>>;
/**
 * Maps known APIs to their full provider-specific stream option types.
 * Type-only imports from API implementation modules are erased at emit, so
 * this is tree-shake safe.
 */
export interface ApiOptionsMap {
    "anthropic-messages": AnthropicOptions;
    "openai-completions": OpenAICompletionsOptions;
    "openai-responses": OpenAIResponsesOptions;
    "openai-codex-responses": OpenAICodexResponsesOptions;
    "azure-openai-responses": AzureOpenAIResponsesOptions;
    "google-generative-ai": GoogleOptions;
    "google-vertex": GoogleVertexOptions;
    "mistral-conversations": MistralOptions;
    "bedrock-converse-stream": BedrockOptions;
    "pi-messages": PiMessagesOptions;
}
/**
 * Full stream options for an API. Known APIs resolve to their concrete option
 * type; custom API strings fall back to the generic shape.
 */
export type ApiStreamOptions<TApi extends Api> = TApi extends keyof ApiOptionsMap ? ApiOptionsMap[TApi] : StreamOptions & Record<string, unknown>;
/**
 * The uniform stream contract of an API implementation module: every module
 * under `src/api/` exports `stream` and `streamSimple`; capable modules may also
 * export deferred-response methods. Lazy wrappers (`lazyApi()`) and provider
 * factories pass these around as values. This is the untyped dispatch shape;
 * per-API option typing lives on the implementation modules themselves and on
 * `Provider.stream()` via `ApiStreamOptions`.
 */
export interface ProviderStreams {
    stream(model: Model<Api>, context: Context, options?: StreamOptions): AssistantMessageEventStream;
    streamSimple(model: Model<Api>, context: Context, options?: SimpleStreamOptions): AssistantMessageEventStream;
    fetchDeferred?(model: Model<Api>, handle: DeferredHandle, options?: DeferredFetchOptions): AssistantMessageEventStream;
    cancelDeferred?(model: Model<Api>, handle: DeferredHandle, options?: DeferredCancelOptions): Promise<void>;
}
/**
 * The uniform contract of an image-generation API implementation module:
 * every image API module under `src/api/` exports exactly `generateImages`,
 * so the module itself satisfies this interface. Lazy wrappers and image
 * provider factories pass these around as values.
 */
export interface ProviderImages {
    generateImages(model: ImagesModel<ImagesApi>, context: ImagesContext, options?: ImagesOptions): Promise<AssistantImages>;
}
export interface ImagesOptions extends ProviderRequestOptions<ImagesModel<ImagesApi>> {
    /**
     * Optional metadata to include in API requests.
     * Providers extract the fields they understand and ignore the rest.
     */
    metadata?: Record<string, unknown>;
}
export type ProviderImagesOptions = ImagesOptions & Record<string, unknown>;
export interface SimpleStreamOptions extends StreamOptions {
    reasoning?: ThinkingLevel;
    /** Ask a capable provider to return a durable handle and continue the request asynchronously. */
    deferred?: boolean | {
        window?: "15m" | "1h" | "24h";
    };
    /** Custom token budgets for thinking levels (token-based providers only) */
    thinkingBudgets?: ThinkingBudgets;
}
export type StreamFunction<TApi extends Api = Api, TOptions extends StreamOptions = StreamOptions> = (model: Model<TApi>, context: Context, options?: TOptions) => AssistantMessageEventStream;
export type ImagesFunction<TApi extends ImagesApi = ImagesApi, TOptions extends ImagesOptions = ImagesOptions> = (model: ImagesModel<TApi>, context: ImagesContext, options?: TOptions) => Promise<AssistantImages>;
export interface TextSignatureV1 {
    v: 1;
    id: string;
    phase?: "commentary" | "final_answer";
}
export interface TextContent {
    type: "text";
    text: string;
    textSignature?: string;
}
export interface ThinkingContent {
    type: "thinking";
    thinking: string;
    thinkingSignature?: string;
    /** When true, the thinking content was redacted by safety filters. The opaque
     *  encrypted payload is stored in `thinkingSignature` so it can be passed back
     *  to the API for multi-turn continuity. */
    redacted?: boolean;
}
export interface ImageContent {
    type: "image";
    data: string;
    mimeType: string;
}
export interface ToolCall {
    type: "toolCall";
    id: string;
    name: string;
    arguments: Record<string, any>;
    thoughtSignature?: string;
}
export interface Usage {
    input: number;
    output: number;
    cacheRead: number;
    cacheWrite: number;
    /** Subset of `cacheWrite` written with 1h retention. Only Anthropic reports this split. */
    cacheWrite1h?: number;
    /**
     * Reasoning/thinking tokens, when the provider reports them. This is a subset of
     * `output`: `output` already includes these tokens. Set to a number (possibly 0) by
     * providers that expose a reasoning breakdown; left undefined by providers that don't.
     */
    reasoning?: number;
    totalTokens: number;
    cost: {
        input: number;
        output: number;
        cacheRead: number;
        cacheWrite: number;
        total: number;
    };
}
export type StopReason = "pending" | "stop" | "length" | "toolUse" | "error" | "aborted" | "deferred";
export type JsonValue = string | number | boolean | null | JsonValue[] | {
    [key: string]: JsonValue;
};
export interface DeferredHandle {
    provider: string;
    modelId: string;
    api: string;
    /** Provider token, such as a response id or batch id plus row id. */
    id: string;
    expiresAt?: number;
    pollAfterMs?: number;
    /** Provider conversion data required to reconstruct the final assistant message. */
    data?: JsonValue;
}
export interface UserMessage {
    role: "user";
    content: string | (TextContent | ImageContent)[];
    timestamp: number;
}
export interface AssistantMessage {
    role: "assistant";
    content: (TextContent | ThinkingContent | ToolCall)[];
    api: Api;
    provider: ProviderId;
    model: string;
    responseModel?: string;
    responseId?: string;
    diagnostics?: AssistantMessageDiagnostic[];
    usage: Usage;
    stopReason: StopReason;
    deferred?: DeferredHandle;
    errorMessage?: string;
    rawStopReason?: string;
    timestamp: number;
}
export interface ToolResultMessage<TDetails = any> {
    role: "toolResult";
    toolCallId: string;
    toolName: string;
    content: (TextContent | ImageContent)[];
    details?: TDetails;
    /** Usage from the tool execution itself, if available. Not part of main LLM context accounting. */
    usage?: Usage;
    /**
     * Names from `Context.tools` that became available after this result.
     * Providers with native deferred tool loading use this as the load point;
     * other providers ignore it and use `Context.tools` normally.
     */
    addedToolNames?: string[];
    isError: boolean;
    timestamp: number;
}
export type Message = UserMessage | AssistantMessage | ToolResultMessage;
export type ImagesInputContent = TextContent | ImageContent;
export type ImagesOutputContent = TextContent | ImageContent;
export interface ImagesContext {
    input: ImagesInputContent[];
}
export type ImagesStopReason = "stop" | "error" | "aborted";
export interface AssistantImages {
    api: ImagesApi;
    provider: ImagesProviderId;
    model: string;
    output: ImagesOutputContent[];
    responseId?: string;
    usage?: Usage;
    stopReason: ImagesStopReason;
    errorMessage?: string;
    timestamp: number;
}
import type { TSchema } from "typebox";
/** OpenAI grammar variants for constrained sampling. */
export type GrammarFormat = "openai_lark" | "openai_regex";
export type GrammarVariants = Partial<Record<GrammarFormat, string>>;
/**
 * Optional provider-side constrained sampling configs for a tool.
 *
 * The `json_schema` value roughly maps to the concept of `strict` in APIs which is
 * implemented as json-schema constrained sampling by APIs. Grammar variants let
 * callers provide provider-specific encodings of the same intended language.
 */
export type ConstrainedSamplingConfig = {
    type: "json_schema";
    strict: "prefer" | "require";
} | {
    type: "grammar";
    variants: GrammarVariants;
};
export interface Tool<TParameters extends TSchema = TSchema> {
    name: string;
    description: string;
    parameters: TParameters;
    constrainedSampling?: false | ConstrainedSamplingConfig;
}
export interface Context {
    systemPrompt?: string;
    messages: Message[];
    tools?: Tool[];
}
/**
 * Event protocol for AssistantMessageEventStream.
 *
 * Streams should emit `start` before partial updates, then terminate with either:
 * - `done` carrying the final successful AssistantMessage, or
 * - `error` carrying the final AssistantMessage with stopReason "error" or "aborted"
 *   and errorMessage.
 */
export type AssistantMessageEvent = {
    type: "start";
    partial: AssistantMessage;
} | {
    type: "text_start";
    contentIndex: number;
    partial: AssistantMessage;
} | {
    type: "text_delta";
    contentIndex: number;
    delta: string;
    partial: AssistantMessage;
} | {
    type: "text_end";
    contentIndex: number;
    content: string;
    partial: AssistantMessage;
} | {
    type: "thinking_start";
    contentIndex: number;
    partial: AssistantMessage;
} | {
    type: "thinking_delta";
    contentIndex: number;
    delta: string;
    partial: AssistantMessage;
} | {
    type: "thinking_end";
    contentIndex: number;
    content: string;
    partial: AssistantMessage;
} | {
    type: "toolcall_start";
    contentIndex: number;
    partial: AssistantMessage;
} | {
    type: "toolcall_delta";
    contentIndex: number;
    delta: string;
    partial: AssistantMessage;
} | {
    type: "toolcall_end";
    contentIndex: number;
    toolCall: ToolCall;
    partial: AssistantMessage;
} | {
    type: "done";
    reason: Extract<StopReason, "stop" | "length" | "toolUse" | "deferred">;
    message: AssistantMessage;
} | {
    type: "error";
    reason: Extract<StopReason, "aborted" | "error">;
    error: AssistantMessage;
};
/**
 * Compatibility settings for OpenAI-compatible completions APIs.
 * Use this to override URL-based auto-detection for custom providers.
 */
export interface OpenAICompletionsCompat {
    /** Whether the provider supports the `store` field. Default: auto-detected from URL. */
    supportsStore?: boolean;
    /** Whether the provider supports the `developer` role (vs `system`). Default: auto-detected from URL. */
    supportsDeveloperRole?: boolean;
    /** Whether the provider supports `reasoning_effort`. Default: auto-detected from URL. */
    supportsReasoningEffort?: boolean;
    /** Whether the provider supports `stream_options: { include_usage: true }` for token usage in streaming responses. Default: true. */
    supportsUsageInStreaming?: boolean;
    /** Whether streamed responses include `finish_reason`. When false, pi infers `stop` or `toolUse` when the stream ends. Default: true. */
    supportsFinishReason?: boolean;
    /** Which field to use for max tokens. Default: auto-detected from URL. */
    maxTokensField?: "max_completion_tokens" | "max_tokens";
    /** Whether tool results require the `name` field. Default: auto-detected from URL. */
    requiresToolResultName?: boolean;
    /** Whether a user message after tool results requires an assistant message in between. Default: auto-detected from URL. */
    requiresAssistantAfterToolResult?: boolean;
    /** Whether thinking blocks must be converted to text blocks with <thinking> delimiters. Default: auto-detected from URL. */
    requiresThinkingAsText?: boolean;
    /** Whether all replayed assistant messages must include an empty reasoning_content field when reasoning is enabled. Default: auto-detected from URL. */
    requiresReasoningContentOnAssistantMessages?: boolean;
    /** Format for reasoning/thinking parameter. "openai" uses reasoning_effort, "openrouter" uses reasoning: { effort }, "deepseek" uses thinking: { type } plus reasoning_effort when supported, "together" uses reasoning: { enabled } plus reasoning_effort when supported, "baseten" uses configurable chat_template_args plus reasoning_effort when supported, "zai" uses thinking: { type }, "qwen" uses top-level enable_thinking: boolean, "qwen-chat-template" uses chat_template_kwargs.enable_thinking and preserve_thinking, "chat-template" uses configurable chat_template_kwargs, "string-thinking" uses top-level thinking: string, and "ant-ling" uses reasoning: { effort } only when the mapped effort is non-null. Default: "openai". */
    thinkingFormat?: "openai" | "openrouter" | "deepseek" | "together" | "baseten" | "zai" | "qwen" | "chat-template" | "qwen-chat-template" | "string-thinking" | "ant-ling";
    /** Kwargs to send as `chat_template_kwargs` when `thinkingFormat` is `chat-template`. Use `{ "$var": "thinking.enabled" }` or `{ "$var": "thinking.effort" }` for pi-controlled thinking values. */
    chatTemplateKwargs?: Record<string, ChatTemplateKwargValue>;
    /** Arguments to send as `chat_template_args` when `thinkingFormat` is `baseten`. Use `{ "$var": "thinking.enabled" }` or `{ "$var": "thinking.effort" }` for pi-controlled thinking values. */
    chatTemplateArgs?: Record<string, ChatTemplateKwargValue>;
    /** OpenRouter-compatible routing preferences sent as the `provider` request field. */
    openRouterRouting?: OpenRouterRouting;
    /** Vercel AI Gateway routing preferences. Only used when baseUrl points to Vercel AI Gateway. */
    vercelGatewayRouting?: VercelGatewayRouting;
    /** Whether z.ai supports top-level `tool_stream: true` for streaming tool call deltas. Default: false. */
    zaiToolStream?: boolean;
    /** Whether the provider supports top-level `thinking_token_budget` to cap reasoning tokens (vLLM). Reasoning and the answer share `max_tokens` on these endpoints, so without a budget a reasoning-heavy turn can consume the whole response and emit no answer. Default: false. */
    supportsThinkingTokenBudget?: boolean;
    /** Whether the provider supports OpenAI custom tools with Lark/regex grammar formats. When false, grammar-constrained tools fall back to normal function tools. Default: false; the generated model catalog enables it for capable models. */
    supportsOpenAIGrammarTools?: boolean;
    /** Whether the provider supports the `strict` field in tool definitions. Default: true. */
    supportsStrictMode?: boolean;
    /** Cache control convention for prompt caching. "anthropic" applies Anthropic-style `cache_control` markers to the system prompt, last tool definition, and last user, assistant, or tool-result text content. */
    cacheControlFormat?: "anthropic";
    /** Whether to send session-affinity data from `options.sessionId`. Default: false. */
    sendSessionAffinityHeaders?: boolean;
    /** Provider-specific deferred tool serialization mode. */
    deferredToolsMode?: "kimi";
    /** Session-affinity header format: `openai` sends `session_id`, `x-client-request-id`, and `x-session-affinity`; `openai-nosession` sends `x-client-request-id` and `x-session-affinity`; `openrouter` sends `x-session-id`. Does not affect the `prompt_cache_key` body param, which is governed by cache retention. Default: auto-detected. */
    sessionAffinityFormat?: SessionAffinityFormat;
    /** Whether the provider supports long prompt cache retention (`prompt_cache_retention: "24h"` or Anthropic-style `cache_control.ttl: "1h"`, depending on format). Default: true. */
    supportsLongCacheRetention?: boolean;
}
/** Compatibility settings for OpenAI Responses APIs. */
export interface OpenAIResponsesCompat {
    /** Whether the provider supports the `developer` role (vs `system`). Default: true. */
    supportsDeveloperRole?: boolean;
    /** Session-affinity header format: `openai` sends `session_id` and `x-client-request-id`; `openai-nosession` sends `x-client-request-id`; `openrouter` sends `x-session-id`. Does not affect the `prompt_cache_key` body param, which is governed by cache retention. Default: auto-detected. */
    sessionAffinityFormat?: SessionAffinityFormat;
    /** Whether the provider supports `prompt_cache_retention: "24h"`. Default: true. */
    supportsLongCacheRetention?: boolean;
    /** Whether the provider supports strict JSON-schema function tools. Defaults are API-specific; generated OpenAI models enable it explicitly. */
    supportsStrictMode?: boolean;
    /** Whether to emit OpenAI custom tools with Lark/regex grammar formats. When false, grammar-constrained tools fall back to normal function tools. Default: false; the generated model catalog enables it for capable models. */
    supportsOpenAIGrammarTools?: boolean;
    /** Whether the model supports client-executed tool search for deferred tools. Default: false. */
    supportsToolSearch?: boolean;
    /** Whether the model accepts `prompt_cache_options` (OpenAI GPT-5.6+ explicit prompt caching). Older OpenAI models reject the parameter. Default: false. */
    supportsExplicitPromptCacheMode?: boolean;
}
/** Compatibility settings for Anthropic Messages-compatible APIs. */
export interface AnthropicMessagesCompat {
    /**
     * Whether the provider accepts per-tool `eager_input_streaming`.
     * When false, the Anthropic provider omits `tools[].eager_input_streaming`
     * and sends the legacy `fine-grained-tool-streaming-2025-05-14` beta header
     * for tool-enabled requests.
     * Default: true.
     */
    supportsEagerToolInputStreaming?: boolean;
    /** Whether the provider supports Anthropic long cache retention (`cache_control.ttl: "1h"`). Default: true. */
    supportsLongCacheRetention?: boolean;
    /**
     * Whether to send the `x-session-affinity` header from `options.sessionId`
     * when caching is enabled. Required for providers like Fireworks that use
     * session affinity for prompt cache routing (requests to the same replica
     * maximize cache hits).
     * Default: false.
     */
    sendSessionAffinityHeaders?: boolean;
    /**
     * Whether the provider supports Anthropic-style `cache_control` markers on
     * tool definitions. When false, `cache_control` is omitted from tool params.
     * Some Anthropic-compatible providers (e.g., Fireworks) do not support this
     * field on tools and may reject or ignore it.
     * Default: true.
     */
    supportsCacheControlOnTools?: boolean;
    /**
     * Whether the model accepts the Anthropic `temperature` request field.
     * Claude Opus 4.7+ rejects non-default temperature values.
     * Default: true.
     */
    supportsTemperature?: boolean;
    /**
     * Whether to force adaptive thinking (`thinking.type: "adaptive"` plus
     * `output_config.effort`) regardless of the model id. Built-in models that
     * require adaptive thinking set this in generated metadata. Custom
     * Anthropic-compatible providers can set this to `true` for any model whose
     * upstream requires the adaptive format. Set to `false` to
     * opt out on overridden built-in models.
     * Default: false.
     */
    forceAdaptiveThinking?: boolean;
    /** Whether to replay empty thinking signatures as `signature: ""` instead of converting thinking to text. Default: false. */
    allowEmptySignature?: boolean;
    /** Whether the provider supports Anthropic strict tool schemas. Default: false; generated Anthropic models enable it explicitly. */
    supportsStrictTools?: boolean;
    /**
     * Whether the provider supports deferred tools loaded by `tool_reference`
     * blocks in tool results. Default: true for first-party Anthropic models
     * except Haiku and models older than Claude 4.5; false for other providers.
     */
    supportsToolReferences?: boolean;
}
/** Compatibility settings for Amazon Bedrock models. */
export interface BedrockCompat {
    /** Whether the model supports Bedrock strict tool schemas. Default: false. */
    supportsStrictMode?: boolean;
}
/**
 * OpenRouter provider routing preferences.
 * Controls which upstream providers OpenRouter routes requests to.
 * Sent as the `provider` field in the OpenRouter API request body.
 * @see https://openrouter.ai/docs/guides/routing/provider-selection
 */
export interface OpenRouterRouting {
    /** Whether to allow backup providers to serve requests. Default: true. */
    allow_fallbacks?: boolean;
    /** Whether to filter providers to only those that support all parameters in the request. Default: false. */
    require_parameters?: boolean;
    /** Data collection setting. "allow" (default): allow providers that may store/train on data. "deny": only use providers that don't collect user data. */
    data_collection?: "deny" | "allow";
    /** Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. */
    zdr?: boolean;
    /** Whether to restrict routing to only models that allow text distillation. */
    enforce_distillable_text?: boolean;
    /** An ordered list of provider names/slugs to try in sequence, falling back to the next if unavailable. */
    order?: string[];
    /** List of provider names/slugs to exclusively allow for this request. */
    only?: string[];
    /** List of provider names/slugs to skip for this request. */
    ignore?: string[];
    /** A list of quantization levels to filter providers by (e.g., ["fp16", "bf16", "fp8", "fp6", "int8", "int4", "fp4", "fp32"]). */
    quantizations?: string[];
    /** Sorting strategy. Can be a string (e.g., "price", "throughput", "latency") or an object with `by` and `partition`. */
    sort?: string | {
        /** The sorting metric: "price", "throughput", "latency". */
        by?: string;
        /** Partitioning strategy: "model" (default) or "none". */
        partition?: string | null;
    };
    /** Maximum price per million tokens (USD). */
    max_price?: {
        /** Price per million prompt tokens. */
        prompt?: number | string;
        /** Price per million completion tokens. */
        completion?: number | string;
        /** Price per image. */
        image?: number | string;
        /** Price per audio unit. */
        audio?: number | string;
        /** Price per request. */
        request?: number | string;
    };
    /** Preferred minimum throughput (tokens/second). Can be a number (applies to p50) or an object with percentile-specific cutoffs. */
    preferred_min_throughput?: number | {
        /** Minimum tokens/second at the 50th percentile. */
        p50?: number;
        /** Minimum tokens/second at the 75th percentile. */
        p75?: number;
        /** Minimum tokens/second at the 90th percentile. */
        p90?: number;
        /** Minimum tokens/second at the 99th percentile. */
        p99?: number;
    };
    /** Preferred maximum latency (seconds). Can be a number (applies to p50) or an object with percentile-specific cutoffs. */
    preferred_max_latency?: number | {
        /** Maximum latency in seconds at the 50th percentile. */
        p50?: number;
        /** Maximum latency in seconds at the 75th percentile. */
        p75?: number;
        /** Maximum latency in seconds at the 90th percentile. */
        p90?: number;
        /** Maximum latency in seconds at the 99th percentile. */
        p99?: number;
    };
}
/**
 * Vercel AI Gateway routing preferences.
 * Controls which upstream providers the gateway routes requests to.
 * @see https://vercel.com/docs/ai-gateway/models-and-providers/provider-options
 */
export interface VercelGatewayRouting {
    /** List of provider slugs to exclusively use for this request (e.g., ["bedrock", "anthropic"]). */
    only?: string[];
    /** List of provider slugs to try in order (e.g., ["anthropic", "openai"]). */
    order?: string[];
}
export interface ModelCostRates {
    input: number;
    output: number;
    cacheRead: number;
    cacheWrite: number;
}
export interface ModelCostTier extends ModelCostRates {
    /** Use this tier for requests whose total input usage exceeds this token count. */
    inputTokensAbove: number;
}
export interface ModelCost extends ModelCostRates {
    /** Request-wide pricing tiers. The highest matching input threshold applies to the full request. */
    tiers?: ModelCostTier[];
}
export interface Model<TApi extends Api> {
    id: string;
    name: string;
    api: TApi;
    provider: ProviderId;
    baseUrl: string;
    reasoning: boolean;
    /**
     * Maps pi thinking levels to provider/model-specific values.
     * Missing keys use provider defaults. null marks a level as unsupported.
     */
    thinkingLevelMap?: ThinkingLevelMap;
    input: ("text" | "image")[];
    cost: ModelCost;
    contextWindow: number;
    maxTokens: number;
    /** Default sampling parameters for this model. See {@link StreamOptions.samplingParams}; per-request keys override these. */
    samplingParams?: Record<string, unknown>;
    headers?: Record<string, string>;
    /** Compatibility overrides for OpenAI-compatible APIs. If not set, auto-detected from baseUrl. */
    compat?: TApi extends "openai-completions" ? OpenAICompletionsCompat : TApi extends "openai-responses" | "azure-openai-responses" | "openai-codex-responses" ? OpenAIResponsesCompat : TApi extends "anthropic-messages" ? AnthropicMessagesCompat : TApi extends "bedrock-converse-stream" ? BedrockCompat : never;
}
export interface ImagesModel<TApi extends ImagesApi> extends Omit<Model<Api>, "api" | "provider" | "reasoning" | "contextWindow" | "maxTokens" | "compat"> {
    api: TApi;
    provider: ImagesProviderId;
    output: ("text" | "image")[];
}
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