import OpenAI from 'openai';
import { SHORTCUT_MODEL_ID } from '../../model-ids.js';
import { getEnvApiKey } from '../env-api-keys.js';
import { supportsXhigh } from '../models.js';
import { AssistantMessageEventStream } from '../utils/event-stream.js';
import { convertResponsesMessages, convertResponsesTools, processResponsesStream } from './openai-responses-shared.js';
import { buildBaseOptions, clampReasoning } from './simple-options.js';
const OPENAI_TOOL_CALL_PROVIDERS = new Set(['openai', 'opencode']);
/**
 * Resolve cache retention preference.
 * Defaults to "short" and uses PI_CACHE_RETENTION for backward compatibility.
 */
function resolveCacheRetention(cacheRetention) {
    if (cacheRetention) {
        return cacheRetention;
    }
    if (typeof process !== 'undefined' && process.env.PI_CACHE_RETENTION === 'long') {
        return 'long';
    }
    return 'short';
}
/**
 * Get prompt cache retention based on cacheRetention and base URL.
 * Only applies to direct OpenAI API calls (api.openai.com).
 */
function getPromptCacheRetention(baseUrl, cacheRetention) {
    if (cacheRetention !== 'long') {
        return undefined;
    }
    if (baseUrl.includes('api.openai.com')) {
        return '24h';
    }
    return undefined;
}
/**
 * Generate function for OpenAI Responses API
 */
export const streamOpenAIResponses = (model, context, options) => {
    const stream = new AssistantMessageEventStream();
    // Start async processing
    (async () => {
        const output = {
            role: 'assistant',
            content: [],
            api: model.api,
            provider: model.provider,
            model: model.id,
            usage: {
                input: 0,
                output: 0,
                cacheRead: 0,
                cacheWrite: 0,
                totalTokens: 0,
                cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 }
            },
            stopReason: 'stop',
            timestamp: Date.now()
        };
        try {
            // Create OpenAI client
            const apiKey = options?.apiKey || getEnvApiKey(model.provider) || '';
            const client = createClient(model, context, apiKey, options?.headers, options?.fetchOptions);
            const params = buildParams(model, context, options);
            options?.onPayload?.(params);
            const openaiStream = await client.responses.create(params, options?.signal ? { signal: options.signal } : undefined);
            stream.push({ type: 'start', partial: output });
            await processResponsesStream(openaiStream, output, stream, model, {
                serviceTier: options?.serviceTier,
                applyServiceTierPricing
            });
            if (options?.signal?.aborted) {
                throw new Error('Request was aborted');
            }
            if (output.stopReason === 'aborted' || output.stopReason === 'error') {
                throw new Error('An unknown error occurred');
            }
            stream.push({ type: 'done', reason: output.stopReason, message: output });
            stream.end();
        }
        catch (error) {
            for (const block of output.content)
                delete block.index;
            output.stopReason = options?.signal?.aborted ? 'aborted' : 'error';
            output.errorMessage = error instanceof Error ? error.message : JSON.stringify(error);
            stream.push({ type: 'error', reason: output.stopReason, error: output });
            stream.end();
        }
    })();
    return stream;
};
export const streamSimpleOpenAIResponses = (model, context, options) => {
    const apiKey = options?.apiKey || getEnvApiKey(model.provider);
    if (!apiKey) {
        throw new Error(`No API key for provider: ${model.provider}`);
    }
    const base = buildBaseOptions(model, options, apiKey);
    const reasoningEffort = supportsXhigh(model)
        ? options?.reasoning
        : clampReasoning(options?.reasoning);
    return streamOpenAIResponses(model, context, {
        ...base,
        reasoningEffort
    });
};
function createClient(model, context, apiKey, optionsHeaders, fetchOptions) {
    if (!apiKey) {
        if (!process.env.OPENAI_API_KEY) {
            throw new Error('OpenAI API key is required. Set OPENAI_API_KEY environment variable or pass it as an argument.');
        }
        apiKey = process.env.OPENAI_API_KEY;
    }
    const headers = { ...model.headers };
    // Merge options headers last so they can override defaults
    if (optionsHeaders) {
        Object.assign(headers, optionsHeaders);
    }
    return new OpenAI({
        apiKey,
        baseURL: model.baseUrl,
        fetchOptions: fetchOptions,
        defaultHeaders: headers
    });
}
function buildParams(model, context, options) {
    const messages = convertResponsesMessages(model, context, OPENAI_TOOL_CALL_PROVIDERS);
    const cacheRetention = resolveCacheRetention(options?.cacheRetention);
    const params = {
        model: model.id,
        input: messages,
        stream: true,
        prompt_cache_key: cacheRetention === 'none' ? undefined : options?.sessionId,
        prompt_cache_retention: getPromptCacheRetention(model.baseUrl, cacheRetention),
        store: false
    };
    if (options?.maxTokens) {
        params.max_output_tokens = options?.maxTokens;
    }
    if (options?.temperature !== undefined) {
        params.temperature = options?.temperature;
    }
    if (options?.serviceTier !== undefined) {
        params.service_tier = options.serviceTier;
    }
    if (context.tools) {
        params.tools = convertResponsesTools(context.tools);
    }
    if (model.reasoning) {
        if (options?.reasoningEffort || options?.reasoningSummary) {
            params.reasoning = {
                effort: options?.reasoningEffort || 'medium',
                summary: options?.reasoningSummary || 'auto'
            };
            params.include = ['reasoning.encrypted_content'];
        }
        else {
            if (model.name.startsWith('gpt-5')) {
                // Jesus Christ, see https://community.openai.com/t/need-reasoning-false-option-for-gpt-5/1351588/7
                messages.push({
                    role: 'developer',
                    content: [
                        {
                            type: 'input_text',
                            text: '# Juice: 0 !important'
                        }
                    ]
                });
            }
        }
    }
    return params;
}
export function getServiceTierCostMultiplier(serviceTier, model) {
    switch (serviceTier) {
        case 'flex':
            return 0.5;
        case 'priority':
            if (model.id === SHORTCUT_MODEL_ID.Gpt55)
                return 2.5;
            return 2;
        default:
            return 1;
    }
}
function applyServiceTierPricing(usage, serviceTier, model) {
    const multiplier = getServiceTierCostMultiplier(serviceTier, model);
    if (multiplier === 1)
        return;
    usage.cost.input *= multiplier;
    usage.cost.output *= multiplier;
    usage.cost.cacheRead *= multiplier;
    usage.cost.cacheWrite *= multiplier;
    usage.cost.total =
        usage.cost.input + usage.cost.output + usage.cost.cacheRead + usage.cost.cacheWrite;
}
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