/**
 * LangChain.js callback handler that fires AgentGuard spend checks before
 * every LLM call.
 *
 * Install: `npm install @agentguard-run/spend @langchain/core`
 *
 * @example
 *   import { ChatOpenAI } from '@langchain/openai';
 *   import { AgentGuardSpendCallbackHandler } from '@agentguard-run/spend/dist/integrations/langchain-callback';
 *
 *   const handler = new AgentGuardSpendCallbackHandler({
 *     dailyCapDollars: 20,
 *     agentId: 'my-langchain-agent',
 *   });
 *   const llm = new ChatOpenAI({ callbacks: [handler] });
 *   await llm.invoke('hello');  // throws AgentGuardBlockedError if cap exceeded
 */
export interface AgentGuardSpendCallbackHandlerOptions {
    dailyCapDollars: number;
    agentId?: string;
    tenantId?: string;
    softCapDollars?: number;
    downgradeTo?: string;
    perMinuteCapDollars?: number;
}
/**
 * LangChain.js BaseCallbackHandler-compatible class. We declare it without
 * extending the real BaseCallbackHandler (which would require a peer-dep
 * import at module load), and let LangChain duck-type it via the standard
 * callback method names.
 */
export declare class AgentGuardSpendCallbackHandler {
    name: string;
    private policy;
    private scope;
    private spendStore;
    constructor(opts: AgentGuardSpendCallbackHandlerOptions);
    handleChatModelStart(llm: any, messages: any[][], _runId: string, _parentRunId: string | undefined, extraParams?: Record<string, any>): Promise<void>;
    handleLLMStart(_llm: any, prompts: string[], _runId: string, _parentRunId: string | undefined, extraParams?: Record<string, any>): Promise<void>;
    private preflight;
}
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