diff --git a/apps/ai-game-creator-shell/src-tauri/src/main.rs b/apps/ai-game-creator-shell/src-tauri/src/main.rs index 87c49778f..52901e8f4 100644 --- a/apps/ai-game-creator-shell/src-tauri/src/main.rs +++ b/apps/ai-game-creator-shell/src-tauri/src/main.rs @@ -342,7 +342,7 @@ const DEFAULT_GAME_INDEX_HTML: &str = r#" "#; const DEFAULT_EDITOR_BASE_URL: &str = "http://127.0.0.1:3000"; -const GAME_CREATOR_LLM_MAX_OUTPUT_TOKENS: u32 = 5000; +const GAME_CREATOR_LLM_MAX_OUTPUT_TOKENS: u32 = 320000; const GAME_CREATOR_PLANNER_MAX_OUTPUT_TOKENS: u32 = 900; const GAME_CREATOR_LLM_REQUEST_TIMEOUT_MS: u64 = 180_000; const GAME_CREATOR_AGENT_LOOP_MAX_PASSES: u8 = 3; @@ -1657,22 +1657,35 @@ async fn request_generator_game_draft_with_client( group_briefs_markdown: &str, agenda_markdown: &str, ) -> Result { + let system_prompt = game_creator_system_prompt(); + let user_prompt = game_creator_generator_user_prompt( + prompt, + short_memory, + long_memory, + spec_markdown, + findings_markdown, + group_briefs_markdown, + agenda_markdown, + ); let request = LlmTextRequest::new(vec![ - LlmMessage::system(game_creator_system_prompt()), - LlmMessage::user(game_creator_generator_user_prompt( - prompt, - short_memory, - long_memory, - spec_markdown, - findings_markdown, - group_briefs_markdown, - agenda_markdown, - )), + LlmMessage::system(system_prompt), + LlmMessage::user(user_prompt.clone()), ]) .with_max_tokens(GAME_CREATOR_LLM_MAX_OUTPUT_TOKENS); - let response = request_game_creator_llm_text(client, request) - .await - .map_err(|error| format!("LLM 生成失败：{error}"))?; + let response = match request_game_creator_llm_text(client, request).await { + Ok(response) => response, + Err(error) => { + // LLM 调用失败（如 “LLM 返回内容为空”）时，把本次输入连同错误一并落盘，便于复现定位。 + persist_llm_game_draft_error_input( + system_prompt, + user_prompt.as_str(), + &error.to_string(), + ); + return Err(format!("LLM 生成失败：{error}")); + } + }; + // 先把原始返回落盘，再解析；解析失败（如输出截断）时仍能从仓库里拿到完整原文。 + persist_llm_game_draft_snapshot(response.content.as_str()); let content = strip_llm_thinking_blocks(response.content.as_str()); parse_llm_game_draft_response(content.as_str()) } @@ -3573,6 +3586,105 @@ fn parse_llm_game_draft_response(content: &str) -> Result .map_err(|error| format!("解析 LLM 游戏草案失败：{error}")) } +// 找到仓库根（包含 apps/ai-game-creator-shell/src-tauri/Cargo.toml 的目录）， +// 复用本地 env 那套向上查找逻辑，以便把原始 LLM 草案落到仓库内而非 tmp 项目目录。 +fn game_creator_repo_root() -> Option { + let mut roots = Vec::new(); + if let Ok(cwd) = std::env::current_dir() { + roots.push(cwd); + } + if let Ok(exe) = std::env::current_exe() { + if let Some(parent) = exe.parent() { + roots.push(parent.to_path_buf()); + } + } + for root in roots { + for directory in root.ancestors().take(8) { + let marker = directory + .join("apps") + .join("ai-game-creator-shell") + .join("src-tauri") + .join("Cargo.toml"); + if marker.is_file() { + return Some(directory.to_path_buf()); + } + } + } + None +} + +// 把生成器原始返回（含被截断、解析失败的内容）保存到仓库 apps/ai-game-creator-shell/.llm-drafts/， +// 便于排查 “EOF while parsing a string” 这类输出截断问题。尽力而为，不阻断生成主流程。 +fn persist_llm_game_draft_snapshot(raw_content: &str) { + // 单元测试同样会走生成路径，避免 cargo test 往仓库写快照文件。 + if cfg!(test) { + return; + } + let Some(repo_root) = game_creator_repo_root() else { + eprintln!("llm.draft.snapshot.skip: 未能定位仓库根目录"); + return; + }; + let dir = repo_root + .join("apps") + .join("ai-game-creator-shell") + .join(".llm-drafts"); + if let Err(error) = fs::create_dir_all(&dir) { + eprintln!("llm.draft.snapshot.dir.failed: {}: {error}", dir.display()); + return; + } + let path = dir.join(format!("draft-{}.txt", unix_millis())); + if let Err(error) = fs::write(&path, raw_content) { + eprintln!( + "llm.draft.snapshot.write.failed: {}: {error}", + path.display() + ); + return; + } + // 同步更新 latest.txt，方便直接打开最近一次草案。 + let latest = dir.join("latest.txt"); + let _ = fs::write(&latest, raw_content); + eprintln!("llm.draft.snapshot.saved: {}", path.display()); +} + +// LLM 调用失败（例如返回内容为空）时，把本次发送给模型的输入（system + 完整 user prompt） +// 连同错误信息一起落盘到仓库 .llm-drafts/，便于按同样输入复现与定位。尽力而为，不阻断主流程。 +fn persist_llm_game_draft_error_input(system_prompt: &str, user_prompt: &str, error: &str) { + // 单元测试同样会走生成路径，避免 cargo test 往仓库写文件。 + if cfg!(test) { + return; + } + let Some(repo_root) = game_creator_repo_root() else { + eprintln!("llm.draft.error-input.skip: 未能定位仓库根目录"); + return; + }; + let dir = repo_root + .join("apps") + .join("ai-game-creator-shell") + .join(".llm-drafts"); + if let Err(io_error) = fs::create_dir_all(&dir) { + eprintln!( + "llm.draft.error-input.dir.failed: {}: {io_error}", + dir.display() + ); + return; + } + let body = format!( + "# LLM 生成失败输入快照\n\n## 错误\n{error}\n\n## System Prompt\n{system_prompt}\n\n## User Prompt（含用户需求/短长期记忆/spec/agenda/组 brief/findings）\n{user_prompt}\n", + ); + let path = dir.join(format!("error-input-{}.txt", unix_millis())); + if let Err(io_error) = fs::write(&path, &body) { + eprintln!( + "llm.draft.error-input.write.failed: {}: {io_error}", + path.display() + ); + return; + } + // 同步更新 latest-error-input.txt，方便直接打开最近一次失败输入。 + let latest = dir.join("latest-error-input.txt"); + let _ = fs::write(&latest, &body); + eprintln!("llm.draft.error-input.saved: {}", path.display()); +} + fn strip_llm_thinking_blocks(content: &str) -> String { let mut output = String::new(); let mut rest = content;