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Variable: Baleybots

const Baleybots: object

Defined in: packages/core/src/index.ts:514

Type Declaration​

conditional​

conditional: (config) => BaleybotConditional

Create a new conditional decision bot

Parameters​

config​

BaleybotConditionalConfig

Returns​

BaleybotConditional

create​

create: <TOutputSchema, TTools>(config) => Baleybot<TOutputSchema, TTools>

Create a new Baleybot (static factory method for convenience)

When outputSchema is undefined or omitted, the output type is inferred as string.

Type Parameters​

TOutputSchema​

TOutputSchema = undefined

TTools​

TTools extends Record<string, Processable<unknown, unknown> | ToolDefinition<(...args) => unknown> | ZodToolDefinition<ZodType<unknown, unknown, $ZodTypeInternals<unknown, unknown>>, unknown>> = Record<string, never>

Parameters​

config​

BaleybotConfig<TOutputSchema, TTools>

Returns​

Baleybot<TOutputSchema, TTools>

Example​

// Without model - auto-selects based on available API keys
const bot = Baleybot.create({
  name: 'my-bot',
  goal: 'Help users'
  // No model specified - auto-selects!
});
const result: string = await bot.process('Hello');

// With explicit model
const bot2 = Baleybot.create({
  name: 'my-bot',
  goal: 'Help users',
  model: 'gpt-4.1-mini'
});
const result2: string = await bot2.process('Hello');

// With output - returns typed output
const bot3 = Baleybot.create({
  name: 'my-bot',
  goal: 'Help users',
  model: 'gpt-4.1-mini',
  output: Output.object({ schema: z.object({ sentiment: z.string() }) })
});
const result3: { sentiment: string } = await bot3.process('Hello');