use axum::{extract::State, http::StatusCode, response::Json, routing::post, Router}; use reqwest::Client; use serde::{Deserialize, Serialize}; use crate::api::server::AppState; pub fn agent_routes() -> Router { Router::new().route("/api/v1/agents/translate", post(translate_text)) } #[derive(Debug, Deserialize)] pub struct TranslationRequest { pub text: String, pub target_language: String, pub source_language: Option, // "auto" if not specified } #[derive(Debug, Serialize)] pub struct TranslationResponse { pub success: bool, pub translated_text: String, pub source_language_detected: String, pub model_used: String, } async fn translate_text( State(_state): State, Json(req): Json, ) -> Result, (StatusCode, String)> { let system_prompt = "You are a professional translator for Momentry Core, a digital asset management system specializing in video analysis. ## Guidelines: 1. **Accuracy**: Translate the meaning accurately, maintaining the original tone. 2. **Style**: - For subtitles: Keep it concise and natural for reading. - For technical terms (e.g., 5W1H, metadata): Use standard industry translations. 3. **Output**: Return ONLY the translated text. Do not include explanations or notes."; let prompt = format!( "Translate the following text to {}: \n\n{}", req.target_language, req.text ); // Call Ollama API let client = Client::new(); let ollama_url = "http://localhost:11434/api/generate"; // Using qwen3:latest which is available locally let model = "qwen3:latest".to_string(); let body = serde_json::json!({ "model": model, "prompt": prompt, "system": system_prompt, "stream": false }); let response = client .post(ollama_url) .json(&body) .send() .await .map_err(|e| { ( StatusCode::INTERNAL_SERVER_ERROR, format!("Failed to call LLM: {}", e), ) })?; let ollama_resp: serde_json::Value = response.json().await.map_err(|e| { ( StatusCode::INTERNAL_SERVER_ERROR, format!("Failed to parse LLM response: {}", e), ) })?; let translated_text = ollama_resp .get("response") .and_then(|v| v.as_str()) .unwrap_or("Translation failed") .to_string(); Ok(Json(TranslationResponse { success: true, translated_text, source_language_detected: req.source_language.unwrap_or("unknown".to_string()), model_used: model, })) }