Add native LLM core foundation (#24712)
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import { Schema } from "effect"
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import { JsonSchema, MessageRole, ProviderMetadata } from "./ids"
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import { CacheHint, GenerationOptions, HttpOptions, ModelRef, ProviderOptions } from "./options"
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const isRecord = (value: unknown): value is Record<string, unknown> =>
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typeof value === "object" && value !== null && !Array.isArray(value)
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const systemPartSchema = Schema.Struct({
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type: Schema.Literal("text"),
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text: Schema.String,
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cache: Schema.optional(CacheHint),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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}).annotate({ identifier: "LLM.SystemPart" })
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export type SystemPart = Schema.Schema.Type<typeof systemPartSchema>
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const makeSystemPart = (text: string): SystemPart => ({ type: "text", text })
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export const SystemPart = Object.assign(systemPartSchema, {
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make: makeSystemPart,
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content: (input?: string | SystemPart | ReadonlyArray<SystemPart>) => {
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if (input === undefined) return []
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return typeof input === "string" ? [makeSystemPart(input)] : Array.isArray(input) ? [...input] : [input]
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},
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})
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export const TextPart = Schema.Struct({
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type: Schema.Literal("text"),
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text: Schema.String,
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cache: Schema.optional(CacheHint),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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providerMetadata: Schema.optional(ProviderMetadata),
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}).annotate({ identifier: "LLM.Content.Text" })
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export type TextPart = Schema.Schema.Type<typeof TextPart>
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export const MediaPart = Schema.Struct({
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type: Schema.Literal("media"),
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mediaType: Schema.String,
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data: Schema.Union([Schema.String, Schema.Uint8Array]),
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filename: Schema.optional(Schema.String),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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}).annotate({ identifier: "LLM.Content.Media" })
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export type MediaPart = Schema.Schema.Type<typeof MediaPart>
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const isToolResultValue = (value: unknown): value is ToolResultValue =>
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isRecord(value) && (value.type === "text" || value.type === "json" || value.type === "error") && "value" in value
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export const ToolResultValue = Object.assign(
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Schema.Struct({
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type: Schema.Literals(["json", "text", "error"]),
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value: Schema.Unknown,
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}).annotate({ identifier: "LLM.ToolResult" }),
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{
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make: (value: unknown, type: ToolResultValue["type"] = "json"): ToolResultValue =>
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isToolResultValue(value) ? value : { type, value },
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},
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)
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export type ToolResultValue = Schema.Schema.Type<typeof ToolResultValue>
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export const ToolCallPart = Object.assign(
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Schema.Struct({
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type: Schema.Literal("tool-call"),
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id: Schema.String,
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name: Schema.String,
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input: Schema.Unknown,
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providerExecuted: Schema.optional(Schema.Boolean),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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providerMetadata: Schema.optional(ProviderMetadata),
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}).annotate({ identifier: "LLM.Content.ToolCall" }),
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{
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make: (input: Omit<ToolCallPart, "type">): ToolCallPart => ({ type: "tool-call", ...input }),
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},
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)
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export type ToolCallPart = Schema.Schema.Type<typeof ToolCallPart>
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export const ToolResultPart = Object.assign(
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Schema.Struct({
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type: Schema.Literal("tool-result"),
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id: Schema.String,
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name: Schema.String,
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result: ToolResultValue,
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providerExecuted: Schema.optional(Schema.Boolean),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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providerMetadata: Schema.optional(ProviderMetadata),
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}).annotate({ identifier: "LLM.Content.ToolResult" }),
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{
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make: (
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input: Omit<ToolResultPart, "type" | "result"> & {
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readonly result: unknown
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readonly resultType?: ToolResultValue["type"]
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},
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): ToolResultPart => ({
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type: "tool-result",
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id: input.id,
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name: input.name,
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result: ToolResultValue.make(input.result, input.resultType),
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providerExecuted: input.providerExecuted,
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metadata: input.metadata,
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providerMetadata: input.providerMetadata,
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}),
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},
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)
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export type ToolResultPart = Schema.Schema.Type<typeof ToolResultPart>
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export const ReasoningPart = Schema.Struct({
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type: Schema.Literal("reasoning"),
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text: Schema.String,
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encrypted: Schema.optional(Schema.String),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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providerMetadata: Schema.optional(ProviderMetadata),
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}).annotate({ identifier: "LLM.Content.Reasoning" })
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export type ReasoningPart = Schema.Schema.Type<typeof ReasoningPart>
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export const ContentPart = Schema.Union([TextPart, MediaPart, ToolCallPart, ToolResultPart, ReasoningPart]).pipe(
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Schema.toTaggedUnion("type"),
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)
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export type ContentPart = Schema.Schema.Type<typeof ContentPart>
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export class Message extends Schema.Class<Message>("LLM.Message")({
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id: Schema.optional(Schema.String),
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role: MessageRole,
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content: Schema.Array(ContentPart),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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native: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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}) {}
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export namespace Message {
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export type ContentInput = string | ContentPart | ReadonlyArray<ContentPart>
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export type Input = Omit<ConstructorParameters<typeof Message>[0], "content"> & {
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readonly content: ContentInput
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}
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export const text = (value: string): ContentPart => ({ type: "text", text: value })
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export const content = (input: ContentInput) =>
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typeof input === "string" ? [text(input)] : Array.isArray(input) ? [...input] : [input]
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export const make = (input: Message | Input) => {
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if (input instanceof Message) return input
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return new Message({ ...input, content: content(input.content) })
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}
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export const user = (content: ContentInput) => make({ role: "user", content })
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export const assistant = (content: ContentInput) => make({ role: "assistant", content })
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export const tool = (result: ToolResultPart | Parameters<typeof ToolResultPart.make>[0]) =>
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make({ role: "tool", content: ["type" in result ? result : ToolResultPart.make(result)] })
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}
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export class ToolDefinition extends Schema.Class<ToolDefinition>("LLM.ToolDefinition")({
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name: Schema.String,
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description: Schema.String,
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inputSchema: JsonSchema,
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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native: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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}) {}
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export namespace ToolDefinition {
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export type Input = ToolDefinition | ConstructorParameters<typeof ToolDefinition>[0]
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/** Normalize tool definition input into the canonical `ToolDefinition` class. */
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export const make = (input: Input) => (input instanceof ToolDefinition ? input : new ToolDefinition(input))
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}
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export class ToolChoice extends Schema.Class<ToolChoice>("LLM.ToolChoice")({
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type: Schema.Literals(["auto", "none", "required", "tool"]),
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name: Schema.optional(Schema.String),
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}) {}
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export namespace ToolChoice {
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export type Mode = Exclude<ToolChoice["type"], "tool">
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export type Input = ToolChoice | ConstructorParameters<typeof ToolChoice>[0] | ToolDefinition | string
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const isMode = (value: string): value is Mode => value === "auto" || value === "none" || value === "required"
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/** Select a specific named tool. */
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export const named = (value: string) => new ToolChoice({ type: "tool", name: value })
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/** Normalize ergonomic tool-choice inputs into the canonical `ToolChoice` class. */
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export const make = (input: Input) => {
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if (input instanceof ToolChoice) return input
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if (input instanceof ToolDefinition) return named(input.name)
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if (typeof input === "string") return isMode(input) ? new ToolChoice({ type: input }) : named(input)
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return new ToolChoice(input)
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}
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}
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export const ResponseFormat = Schema.Union([
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Schema.Struct({ type: Schema.Literal("text") }),
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Schema.Struct({ type: Schema.Literal("json"), schema: JsonSchema }),
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Schema.Struct({ type: Schema.Literal("tool"), tool: ToolDefinition }),
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]).pipe(Schema.toTaggedUnion("type"))
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export type ResponseFormat = Schema.Schema.Type<typeof ResponseFormat>
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export class LLMRequest extends Schema.Class<LLMRequest>("LLM.Request")({
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id: Schema.optional(Schema.String),
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model: ModelRef,
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system: Schema.Array(SystemPart),
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messages: Schema.Array(Message),
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tools: Schema.Array(ToolDefinition),
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toolChoice: Schema.optional(ToolChoice),
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generation: Schema.optional(GenerationOptions),
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providerOptions: Schema.optional(ProviderOptions),
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http: Schema.optional(HttpOptions),
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responseFormat: Schema.optional(ResponseFormat),
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metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
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}) {}
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export namespace LLMRequest {
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export type Input = ConstructorParameters<typeof LLMRequest>[0]
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export const input = (request: LLMRequest): Input => ({
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id: request.id,
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model: request.model,
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system: request.system,
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messages: request.messages,
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tools: request.tools,
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toolChoice: request.toolChoice,
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generation: request.generation,
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providerOptions: request.providerOptions,
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http: request.http,
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responseFormat: request.responseFormat,
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metadata: request.metadata,
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})
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export const update = (request: LLMRequest, patch: Partial<Input>) => {
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if (Object.keys(patch).length === 0) return request
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return new LLMRequest({
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...input(request),
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...patch,
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model: patch.model ?? request.model,
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})
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}
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}
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