/**
 * The {@link LLM} module facilitates creation of Large Language Models and Agents into {@link Template}s.
 *
 * @module LLM
 *
 * @example
 * ```typescript
 *  const price = new SourceBuilder("price")
 *    .value({ value: 5 });
 *
 *  const message = new SourceBuilder("message",)
 *    .writeable(AssistantInputStateType);
 *
 *  const sales = new SourceBuilder("sales")
 *    .writeable(DictType(
 *      StringType,
 *      StructType({
 *        date: DateTimeType,
 *        item: StringType,
 *        qty: IntegerType,
 *        inventory: IntegerType,
 *        price: FloatType,
 *        amount: FloatType,
 *      }))
 *    )
 *
 *  const model = new SourceBuilder("model",)
 *    .value({ value: variant('gpt-3.5-turbo-1106', null), type: LLMModelType });
 *
 *  const assistant = new LLMBuilder("assistant")
 *    .input({ name: "sales", stream: sales.outputStream() })
 *    .input({ name: "message", stream: message.outputStream() })
 *    .input({ name: "model", stream: model.outputStream() })
 *    .input({ name: "price", stream: price.outputStream() })
 *    .assistant({
 *        api_key: "...",
 *        purpose: "You are a business analyst assistant",
 *        prompt: (inputs) => inputs.message,
 *        model: (inputs) => inputs.model,
 *    })
 *    .chart(
 *        "chart_sales_data",
 *        `Read, aggregate and chart the sales data`,
 *        sales_data.outputStream(),
 *    )
 * ```
 */
export * from './LLMBuilder';