export interface LLMMessage {
    role: "system" | "user" | "assistant" | "tool";
    content: string | null;
    tool_calls?: LLMToolCall[];
    tool_call_id?: string;
    name?: string;
}
export interface LLMToolCall {
    id: string;
    type: "function";
    function: {
        name: string;
        arguments: string;
    };
}
export interface LLMTool {
    type: "function";
    function: {
        name: string;
        description: string;
        parameters: Record<string, unknown>;
    };
}
export interface LLMResponse {
    content: string | null;
    reasoning: string | null;
    tool_calls: LLMToolCall[];
    finish_reason: string;
    usage?: {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
    };
}
export interface LLMClient {
    modelId: string;
    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
}
export declare class VertexOpenAIClient implements LLMClient {
    modelId: string;
    private projectId;
    private region;
    private temperature;
    constructor(modelId: string, opts?: {
        projectId?: string;
        region?: string;
        temperature?: number;
    });
    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
}
export declare class GeminiClient implements LLMClient {
    modelId: string;
    private temperature;
    constructor(modelId?: string, opts?: {
        temperature?: number;
    });
    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
}
export declare class AnthropicVertexClient implements LLMClient {
    modelId: string;
    private projectId;
    private region;
    constructor(modelId: string, opts?: {
        projectId?: string;
        region?: string;
    });
    private buildClient;
    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
}
export type ModelTier = "A" | "B" | "C";
export declare function createLLM(modelOrTier: string | ModelTier, opts?: {
    temperature?: number;
}): LLMClient;
export declare function toOAITools(tools: Array<{
    name: string;
    description: string;
    parameters: Record<string, unknown>;
}>): LLMTool[];