@just-every/ensemble/dist/model_providers/openai_chat.d.ts

LLM provider abstraction layer with unified streaming interface

import { ProviderStreamEvent, ResponseInput, AgentDefinition } from '../types/types.js';
import { BaseModelProvider } from './base_provider.js';
import OpenAI from 'openai';
import { ModelProviderID } from '../data/model_data.js';
export declare function addImagesToInput(input: OpenAI.Chat.Completions.ChatCompletionMessageParam[], images: Record<string, string>, source: string): Promise<OpenAI.Chat.Completions.ChatCompletionMessageParam[]>;
export declare class OpenAIChat extends BaseModelProvider {
    protected _client?: OpenAI;
    protected provider: ModelProviderID;
    protected baseURL: string | undefined;
    protected commonParams: any;
    protected apiKey?: string;
    protected defaultHeaders?: Record<string, string | null | undefined>;
    constructor(provider?: ModelProviderID, apiKey?: string, baseURL?: string, defaultHeaders?: Record<string, string | null | undefined>, commonParams?: any);
    private getEnvVarName;
    protected get client(): OpenAI;
    prepareParameters(requestParams: OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming): OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming;
    private _parseAndPrepareSimulatedToolCalls;
    createResponseStream(messages: ResponseInput, model: string, agent: AgentDefinition): AsyncGenerator<ProviderStreamEvent>;
}
//# sourceMappingURL=openai_chat.d.ts.map