Function convertToAnthropicRequest

src/openai-handler.ts:98–244

* 将 OpenAI Chat Completions 请求转换为内部 Anthropic 格式 * 这样可以完全复用现有的 convertToCursorRequest 管道

(body: OpenAIChatRequest)

 * 这样可以完全复用现有的 convertToCursorRequest 管道
 */
function convertToAnthropicRequest(body: OpenAIChatRequest): AnthropicRequest {
    const rawMessages: AnthropicMessage[] = [];
    let systemPrompt: string | undefined;

    // ★ response_format 处理：构建温和的 JSON 格式提示（稍后追加到最后一条用户消息）
    let jsonFormatSuffix = '';
    if (body.response_format && body.response_format.type !== 'text') {
        jsonFormatSuffix = '\n\nRespond in plain JSON format without markdown wrapping.';
        if (body.response_format.type === 'json_schema' && body.response_format.json_schema?.schema) {
            jsonFormatSuffix += ` Schema: ${JSON.stringify(body.response_format.json_schema.schema)}`;
        }
    }

    for (const msg of body.messages) {
        switch (msg.role) {
            case 'system':
                systemPrompt = (systemPrompt ? systemPrompt + '\n\n' : '') + extractOpenAIContent(msg);
                break;

            case 'user': {
                // 检查 content 数组中是否有 tool_result 类型的块（Anthropic 风格）
                const contentBlocks = extractOpenAIContentBlocks(msg);
                if (Array.isArray(contentBlocks)) {
                    rawMessages.push({ role: 'user', content: contentBlocks });
                } else {
                    rawMessages.push({ role: 'user', content: contentBlocks || '' });
                }
                break;
            }

            case 'assistant': {
                const blocks: AnthropicContentBlock[] = [];
                const contentBlocks = extractOpenAIContentBlocks(msg);
                if (typeof contentBlocks === 'string' && contentBlocks) {
                    blocks.push({ type: 'text', text: contentBlocks });
                } else if (Array.isArray(contentBlocks)) {
                    blocks.push(...contentBlocks);
                }

                if (msg.tool_calls && msg.tool_calls.length > 0) {
                    for (const tc of msg.tool_calls) {
                        let args: Record<string, unknown> = {};
                        try {
                            args = JSON.parse(tc.function.arguments);
                        } catch {
                            args = { input: tc.function.arguments };
                        }
                        blocks.push({
                            type: 'tool_use',
                            id: tc.id,
                            name: tc.function.name,
                            input: args,
                        });
                    }
                }

                rawMessages.push({
                    role: 'assistant',