@mastra/core/dist/llm/model/resolve-model.d.ts

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

import type { Mastra } from '../../mastra/index.js';
import { RequestContext } from '../../request-context/index.js';
import type { MastraModelConfig, OpenAICompatibleConfig, MastraLanguageModel, MastraLegacyLanguageModel } from './shared.types.js';
/**
 * Type guard to check if a model config is an OpenAICompatibleConfig object
 * @internal
 */
export declare function isOpenAICompatibleObjectConfig(modelConfig: MastraModelConfig | (({ requestContext, mastra, }: {
    requestContext: RequestContext;
    mastra?: Mastra;
}) => MastraModelConfig | Promise<MastraModelConfig>)): modelConfig is OpenAICompatibleConfig;
/**
 * Resolves a model configuration to a LanguageModel instance.
 * Supports:
 * - Magic strings like "openai/gpt-4o"
 * - Config objects like { id: "openai/gpt-4o", apiKey: "..." }
 * - Direct LanguageModel instances
 * - Dynamic functions that return any of the above
 *
 * @param modelConfig The model configuration
 * @param requestContext Optional request context for dynamic resolution
 * @param mastra Optional Mastra instance for dynamic resolution
 * @returns A resolved LanguageModel instance
 *
 * @example
 * ```typescript
 * // String resolution
 * const model = await resolveModelConfig("openai/gpt-4o");
 *
 * // Config object resolution
 * const model = await resolveModelConfig({
 *   id: "openai/gpt-4o",
 *   apiKey: "sk-..."
 * });
 *
 * // Dynamic resolution
 * const model = await resolveModelConfig(
 *   ({ requestContext }) => requestContext.get("preferredModel")
 * );
 * ```
 */
export declare function resolveModelConfig(modelConfig: MastraModelConfig | (({ requestContext, mastra, }: {
    requestContext: RequestContext;
    mastra?: Mastra;
}) => MastraModelConfig | Promise<MastraModelConfig>), requestContext?: RequestContext, mastra?: Mastra): Promise<MastraLanguageModel | MastraLegacyLanguageModel>;
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