wehub-resource-sync
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[{"t": 800, "event": "user_message", "text": "are models able to use vision to acutallyt see images? "}, {"t": 1600, "event": "thinking", "duration": 800}, {"t": 1800, "event": "stream_text", "text": "\n\nGood question! Let me check how jcode handles images and whether models can actually \"see\" them.", "speed": 80}, {"t": 1900, "event": "token_usage", "input": 457, "output": 193, "cache_read": 6487, "cache_creation": 8560}, {"t": 1900, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/provider", "pattern": "image"}, "tool": "file_grep"}, {"parameters": {"path": "src/agent.rs", "pattern": "image|vision|base64"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/provider", "pattern": "image|ContentBlock|ImageContent|media_type"}, "tool": "file_grep"}]}}, {"t": 2000, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 6 matches for 'image'\n\ncli_common.rs:\n 87: out.push_str(\"[image]\\n\");\n\nanthropic.rs:\n 1208: #[serde(rename = \"image\")]\n\nopenrouter.rs:\n 1258: \"type\": \"image_url\",\n 1259: \"image_url\": {\n\nopenai.rs:\n 366: \"type\": \"input_image\",\n 367: \"image_url\": format!(\"data:{};base64,{}\", media_type, data)\n\n\n--- [2] file_grep ---...", "is_error": false}, {"t": 2500, "event": "thinking", "duration": 800}, {"t": 2700, "event": "token_usage", "input": 553, "output": 127, "cache_read": 15047, "cache_creation": 646}, {"t": 2700, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"file_path": "src/agent.rs", "limit": 60, "offset": 840}, "tool": "file_read"}, {"parameters": {"path": "src/message.rs", "pattern": "Image|image|media_type|base64"}, "tool": "file_grep"}]}}, {"t": 2800, "event": "tool_done", "name": "batch", "output": "--- [1] file_read ---\n 841\t );\n 842\t self.session.save()?;\n 843\t self.run_turn_streaming(event_tx).await\n 844\t }\n 845\t\n 846\t /// Run one conversation turn with streaming events via mpsc channel (per-client)\n 847\t pub async fn run_once_streaming_mpsc(\n 848\t &mut self,\n 849\t user_message: &str,\n 850\t images: Vec<(String, String)>,\n 851\t event_tx: mpsc::UnboundedSender<ServerEvent>,\n 852\t ) -> Result<()> {\n 853\t // ...", "is_error": false}, {"t": 3300, "event": "thinking", "duration": 800}, {"t": 3500, "event": "token_usage", "input": 473, "output": 93, "cache_read": 15693, "cache_creation": 680}, {"t": 3500, "event": "tool_start", "name": "read", "input": {"file_path": "src/message.rs", "limit": 50, "offset": 60}}, {"t": 3600, "event": "tool_done", "name": "read", "output": " 61\t name: String,\n 62\t input: serde_json::Value,\n 63\t },\n 64\t ToolResult {\n 65\t tool_use_id: String,\n 66\t content: String,\n 67\t #[serde(skip_serializing_if = \"Option::is_none\")]\n 68\t is_error: Option<bool>,\n 69\t },\n 70\t Image {\n 71\t media_type: String,\n 72\t data: String,\n 73\t },\n 74\t}\n 75\t\n 76\timpl Message {\n 77\t pub fn user(text: &str) -> Self {\n 78\t Self {\n 79\t ...", "is_error": false}, {"t": 4100, "event": "thinking", "duration": 800}, {"t": 4300, "event": "stream_text", "text": "Now let me check how images get sent to each provider:", "speed": 80}, {"t": 4400, "event": "token_usage", "input": 571, "output": 237, "cache_read": 16373, "cache_creation": 566}, {"t": 4400, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"file_path": "src/provider/anthropic.rs", "pattern": "Image|image|media_type|base64"}, "tool": "file_grep"}, {"parameters": {"file_path": "src/provider/openai.rs", "pattern": "Image|image|media_type|base64"}, "tool": "file_grep"}, {"parameters": {"file_path": "src/provider/openrouter.rs", "pattern": "Image|image|media_type|base64"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "image|paste|clipboard|drop"}, "tool": "file_grep"}]}}, {"t": 4500, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 100 matches for 'Image|image|media_type|base64'\n\n.git/logs/refs/heads/master:\n 1: 1a7d38d8102654932100b5d882e6cd0321585755 78ae36d7256aad88900f5c34890c5693d07f40b2 jeremy <94247773+1jehuang@users.noreply.github.com> 1771424399 -0800\tcommit: Optimize build times: disable unused image codecs, add release-fast profile\n\n.git/logs/HEAD:\n 1: 1a7d38d8102654932100b5d882e6cd0321585755 78ae36d7256aad88900f5c34890c5693d07f40b2 jeremy <94247773+1jehuang@users.noreply.g...", "is_error": false}, {"t": 5000, "event": "thinking", "duration": 800}, {"t": 5200, "event": "token_usage", "input": 1711, "output": 172, "cache_read": 16939, "cache_creation": 808}, {"t": 5200, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/provider", "pattern": "ContentBlock::Image"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "images|image_paste|attach|ContentBlock::Image"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/protocol.rs", "pattern": "image"}, "tool": "file_grep"}]}}, {"t": 5300, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 5 matches for 'ContentBlock::Image'\n\ncli_common.rs:\n 86: ContentBlock::Image { .. } => {\n\nanthropic.rs:\n 374: ContentBlock::Image { media_type, data } => Some(ApiContentBlock::Image {\n\nopenrouter.rs:\n 1256: ContentBlock::Image { media_type, data } => {\n\nopenai.rs:\n 364: ContentBlock::Image { media_type, data } => {\n\nclaude.rs:\n 140: ContentBlock::Image { .. } =...", "is_error": false}, {"t": 5500, "event": "thinking", "duration": 800}, {"t": 5700, "event": "token_usage", "input": 511, "output": 96, "cache_read": 17747, "cache_creation": 1883}, {"t": 5700, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 30, "offset": 525}}, {"t": 5800, "event": "tool_done", "name": "read", "output": " 526\t // Hot-rebuild: if set, do full git pull + cargo build + tests then exec\n 527\t rebuild_requested: Option<String>,\n 528\t // Pasted content storage (displayed as placeholders, expanded on submit)\n 529\t pasted_contents: Vec<String>,\n 530\t // Pending pasted images (media_type, base64_data) attached to next message\n 531\t pending_images: Vec<(String, String)>,\n 532\t // Debug socket broadcast channel (if enabled)\n 533\t debug_tx: Option<tokio::sync::broadcast::Se...", "is_error": false}, {"t": 6300, "event": "thinking", "duration": 800}, {"t": 6500, "event": "stream_text", "text": "Now let me check how image pasting works:", "speed": 80}, {"t": 6600, "event": "token_usage", "input": 544, "output": 121, "cache_read": 19630, "cache_creation": 607}, {"t": 6600, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui", "pattern": "pending_images|paste.*image|image.*paste|wl-paste|clipboard.*image"}}, {"t": 6700, "event": "tool_done", "name": "grep", "output": "Found 48 matches for 'pending_images|paste.*image|image.*paste|wl-paste|clipboard.*image'\n\napp.rs:\n 530: // Pending pasted images (media_type, base64_data) attached to next message\n 531: pending_images: Vec<(String, String)>,\n 817: pending_images: Vec::new(),\n 2297: self.pending_images.clear();\n 5042: // Alt+V: paste image from clipboard\n 5043: self.paste_image_from_clipboard();\n 5115: ...", "is_error": false}, {"t": 7200, "event": "thinking", "duration": 800}, {"t": 7400, "event": "stream_text", "text": "Now let me check how the Anthropic provider serializes images for the API:", "speed": 80}, {"t": 7500, "event": "token_usage", "input": 1067, "output": 114, "cache_read": 20237, "cache_creation": 665}, {"t": 7500, "event": "tool_start", "name": "read", "input": {"file_path": "src/provider/anthropic.rs", "limit": 30, "offset": 365}}, {"t": 7600, "event": "tool_done", "name": "read", "output": " 366\t tool_use_id,\n 367\t content,\n 368\t is_error,\n 369\t } => Some(ApiContentBlock::ToolResult {\n 370\t tool_use_id: tool_use_id.clone(),\n 371\t content: content.clone(),\n 372\t is_error: is_error.unwrap_or(false),\n 373\t }),\n 374\t ContentBlock::Image { media_type, data } => Some(ApiContentBlock::Image {\n 375\t so...", "is_error": false}, {"t": 8400, "event": "thinking", "duration": 800}, {"t": 8600, "event": "stream_text", "text": "**Yes, models can actually see images!** Here's the full picture:\n\n### How it works in jcode:\n\n1. **Image pasting** \u2014 When you press **Ctrl+V** or **Alt+V**, jcode checks the clipboard for image data (via `wl-paste` on Wayland, `osascript` on macOS, or `arboard` fallback). It also detects image URLs pasted as text (e.g., from Discord).\n\n2. **Base64 encoding** \u2014 Images are converted to base64 and stored as `pending_images` (with media type like `image/png`).\n\n3. **Sent to the model** \u2014 When you submit your message, images are included as `ContentBlock::Image` blocks alongside the text. Each provider serializes them correctly:\n - **Anthropic**: Native `image` content blocks with `base64` source\n - **OpenAI**: `input_image` blocks with `data:` URIs\n - **OpenRouter**: `image_url` blocks with `data:` URIs\n\n4. **The model actually sees them** \u2014 Claude, GPT-4o, and other vision-capable models process the raw image data and can describe, analyze, and reason about what's in the image.\n\n### To use it:\n- **Screenshot \u2192 Ctrl+V** \u2014 Take a screenshot, paste it into jcode\n- **Copy image \u2192 Ctrl+V** \u2014 Copy any image from a browser or app, paste it\n- **Paste image URL** \u2014 Paste an `<img src=\"...\">` URL and it'll download + attach\n\nThe `[image attached]` indicator appears in the input area when an image is queued. The model receives and processes the actual pixel data \u2014 it's real vision, not just a placeholder.", "speed": 80}, {"t": 9100, "event": "token_usage", "input": 431, "output": 406, "cache_read": 20902, "cache_creation": 1181}, {"t": 9100, "event": "done"}, {"t": 9900, "event": "user_message", "text": "is the model able to like read an image normally though if i did not paste it in? like lets say i just told it to read this image"}, {"t": 10400, "event": "thinking", "duration": 800}, {"t": 10600, "event": "stream_text", "text": "\n\nAh, good question. Let me check what happens when the model tries to read an image file via the file_read tool or similar.", "speed": 80}, {"t": 10700, "event": "token_usage", "input": 43, "output": 164, "cache_read": 22083, "cache_creation": 834}, {"t": 10700, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/tool", "pattern": "binary|Binary|is_binary|image file"}, "tool": "file_grep"}, {"parameters": {"path": "src/tool/file_read.rs", "pattern": "base64|image|binary"}, "tool": "file_grep"}]}}, {"t": 10800, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 22 matches for 'binary|Binary|is_binary|image file'\n\ngrep.rs:\n 43: Respects .gitignore and skips binary files.\"\n 112: // Skip binary files\n 113: if is_binary_extension(path) {\n 182: fn is_binary_extension(path: &Path) -> bool {\n 185: let binary_exts = [\n 190: return binary_exts.contains(&ext.as_str());\n\nselfdev.rs:\n 106: Actions: 'reload' (restart with built binary), \\\n 124: ...", "is_error": false}, {"t": 11300, "event": "thinking", "duration": 800}, {"t": 11500, "event": "token_usage", "input": 362, "output": 103, "cache_read": 22917, "cache_creation": 209}, {"t": 11500, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tool", "pattern": "image|Image|base64|kitty_graphics|display\""}}, {"t": 11600, "event": "tool_done", "name": "grep", "output": "Found 23 matches for 'image|Image|base64|kitty_graphics|display\"'\n\nconversation_search.rs:\n 196: crate::message::ContentBlock::Image { .. } => {\n 197: output.push_str(\"[Image]\\n\");\n\nread.rs:\n 3: use crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\n 83: // Check for image files and display in terminal if supported\n 84: if is_image_file(&path) {\n 85: return handle_image...", "is_error": false}, {"t": 11800, "event": "thinking", "duration": 800}, {"t": 12000, "event": "token_usage", "input": 539, "output": 95, "cache_read": 23126, "cache_creation": 465}, {"t": 12000, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 100, "offset": 80}}, {"t": 12100, "event": "tool_done", "name": "read", "output": " 81\t }\n 82\t\n 83\t // Check for image files and display in terminal if supported\n 84\t if is_image_file(&path) {\n 85\t return handle_image_file(&path, ¶ms.file_path);\n 86\t }\n 87\t\n 88\t // Check for PDF files and extract text\n 89\t if is_pdf_file(&path) {\n 90\t return handle_pdf_file(&path, ¶ms.file_path);\n 91\t }\n 92\t\n 93\t // Check for binary files\n 94\t if is_binary_file(&path) {\n ...", "is_error": false}, {"t": 12300, "event": "thinking", "duration": 800}, {"t": 12500, "event": "token_usage", "input": 1352, "output": 95, "cache_read": 23591, "cache_creation": 634}, {"t": 12500, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 80, "offset": 200}}, {"t": 12600, "event": "tool_done", "name": "read", "output": " 201\t\n 202\t/// Check if a file is an image based on extension\n 203\tfn is_image_file(path: &Path) -> bool {\n 204\t if let Some(ext) = path.extension() {\n 205\t let ext = ext.to_string_lossy().to_lowercase();\n 206\t matches!(\n 207\t ext.as_str(),\n 208\t \"png\" | \"jpg\" | \"jpeg\" | \"gif\" | \"webp\" | \"bmp\" | \"ico\"\n 209\t )\n 210\t } else {\n 211\t false\n 212\t }\n 213\t}\n 214\t\n 215\t/// Handle reading an image file - display in terminal if s...", "is_error": false}, {"t": 13100, "event": "thinking", "duration": 800}, {"t": 13300, "event": "stream_text", "text": "Now let me check the ToolOutput type - does it support returning images to the model, or only text?", "speed": 80}, {"t": 13400, "event": "token_usage", "input": 1197, "output": 135, "cache_read": 24225, "cache_creation": 1447}, {"t": 13400, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tool", "pattern": "struct ToolOutput|enum ToolOutput|pub fn new|images.*Vec|image.*content\""}}, {"t": 13500, "event": "tool_done", "name": "grep", "output": "Found 37 matches for 'struct ToolOutput|enum ToolOutput|pub fn new|images.*Vec|image.*content\"'\n\ninvalid.rs:\n 10: pub fn new() -> Self {\n\ncodesearch.rs:\n 19: pub fn new() -> Self {\n\ntodo.rs:\n 13: pub fn new() -> Self {\n 19: pub fn new() -> Self {\n\nwebfetch.rs:\n 17: pub fn new() -> Self {\n\nwebsearch.rs:\n 13: pub fn new() -> Self {\n\ndebug_socket.rs:\n 28: pub fn new() -> Self {\n\nbg.rs:\n 16: pub fn new() -> Self {\n\nskill.rs:\n 17: pub ...", "is_error": false}, {"t": 13700, "event": "thinking", "duration": 800}, {"t": 13900, "event": "token_usage", "input": 731, "output": 95, "cache_read": 25672, "cache_creation": 1332}, {"t": 13900, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/mod.rs", "limit": 40, "offset": 44}}, {"t": 14000, "event": "tool_done", "name": "read", "output": " 45\t\n 46\t#[derive(Debug, Clone)]\n 47\tpub struct ToolOutput {\n 48\t pub output: String,\n 49\t pub title: Option<String>,\n 50\t pub metadata: Option<Value>,\n 51\t}\n 52\t\n 53\timpl ToolOutput {\n 54\t pub fn new(output: impl Into<String>) -> Self {\n 55\t Self {\n 56\t output: output.into(),\n 57\t title: None,\n 58\t metadata: None,\n 59\t }\n 60\t }\n 61\t\n 62\t pub fn with_title(mut self, title: impl Into<String>) -...", "is_error": false}, {"t": 14500, "event": "thinking", "duration": 800}, {"t": 14700, "event": "stream_text", "text": "That's the key finding. Let me also check how tool results get converted to message content:", "speed": 80}, {"t": 14800, "event": "token_usage", "input": 434, "output": 125, "cache_read": 27004, "cache_creation": 826}, {"t": 14800, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src", "pattern": "ToolResult.*content|tool_result.*content|ToolOutput.*content\""}}, {"t": 14900, "event": "tool_done", "name": "grep", "output": "Found 25 matches for 'ToolResult.*content|tool_result.*content|ToolOutput.*content\"'\n\nprovider/anthropic.rs:\n 1422: if let ApiContentBlock::ToolResult { content, .. } = &last_msg.content[0] {\n\nprovider/claude.rs:\n 137: ContentBlock::ToolResult { content, .. } => parts.push(content.clone()),\n\ntool/conversation_search.rs:\n 187: crate::message::ContentBlock::ToolResult { content, .. } => {\n 258: crate::message::ContentBlo...", "is_error": false}, {"t": 15700, "event": "thinking", "duration": 800}, {"t": 15900, "event": "stream_text", "text": "**No \u2014 the model cannot actually *see* images when you ask it to read a file.** Here's why:\n\n### What happens when you say \"read this image\":\n\n1. The `file_read` tool detects it's an image file (`is_image_file()`)\n2. It calls `handle_image_file()` which:\n - **Displays** the image in your terminal (via Kitty graphics protocol) so **you** can see it\n - Returns only **text metadata** to the model: `\"Image: foo.png (42.3 KB)\\nDimensions: 800x600\\nDisplayed in terminal using Kitty protocol\"`\n\n3. `ToolOutput` is **text-only** \u2014 it has `output: String`, no image/binary data field. The tool result goes into `ContentBlock::ToolResult { content: String, ... }`, never as `ContentBlock::Image`.\n\n### So the model gets:\n```\nImage: screenshot.png (42.3 KB)\nDimensions: 1920x1080\nDisplayed in terminal using Kitty protocol\n```\n\nIt knows the image exists and its dimensions, but **cannot see the actual pixels**. It's blind to the content.\n\n### What *would* work:\n- **Ctrl+V / Alt+V paste** \u2014 that puts the image into `ContentBlock::Image` with base64 data, which the model actually sees\n- The gap is: there's no code path that converts a file_read of an image into a `ContentBlock::Image` in the conversation\n\n### To fix this:\nWe'd need to either:\n1. Add an `images` field to `ToolOutput` (e.g., `Vec<(String, String)>` for media_type + base64), and have the agent inject those as `ContentBlock::Image` alongside the `ContentBlock::ToolResult`\n2. Or have `file_read` base64-encode the image and return it inline in a way the provider can interpret\n\nWant me to implement that? It'd let the model actually see any image file it reads.", "speed": 80}, {"t": 16700, "event": "token_usage", "input": 729, "output": 478, "cache_read": 27830, "cache_creation": 559}, {"t": 16700, "event": "done"}, {"t": 16800, "event": "user_message", "text": "what file types does file read support? shuld we extend it to more things/ "}, {"t": 16900, "event": "thinking", "duration": 800}, {"t": 17100, "event": "stream_text", "text": "\n\nLet me look at the full picture of what file_read handles:", "speed": 80}, {"t": 17200, "event": "token_usage", "input": 32, "output": 77, "cache_read": 28389, "cache_creation": 1204}, {"t": 17200, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs"}}, {"t": 17300, "event": "tool_done", "name": "read", "output": " 1\tuse super::{Tool, ToolContext, ToolOutput};\n 2\tuse crate::bus::{Bus, BusEvent, FileOp, FileTouch};\n 3\tuse crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\n 4\tuse anyhow::Result;\n 5\tuse async_trait::async_trait;\n 6\tuse serde::Deserialize;\n 7\tuse serde_json::{json, Value};\n 8\tuse std::path::Path;\n 9\t\n 10\tconst DEFAULT_LIMIT: usize = 2000;\n 11\tconst MAX_LINE_LEN: usize = 2000;\n 12\t\n 13\tpub struct ReadTool;\n 14\t\n 15\timpl ReadTool {\n ...", "is_error": false}, {"t": 18100, "event": "thinking", "duration": 800}, {"t": 18300, "event": "stream_text", "text": "Here's the current state:\n\n### What `file_read` handles today:\n\n| Type | Extensions | What happens |\n|------|-----------|--------------|\n| **Text files** | `.rs`, `.py`, `.js`, `.md`, etc. | \u2705 Full content with line numbers |\n| **Images** | `.png`, `.jpg`, `.jpeg`, `.gif`, `.webp`, `.bmp`, `.ico` | \u26a0\ufe0f Displays in terminal (Kitty), but model only gets metadata text |\n| **PDFs** | `.pdf` | \u2705 Extracts text via `pdf_extract` (pages, content) |\n| **Binary** | `.zip`, `.tar`, `.gz`, `.exe`, `.dll`, `.so`, `.mp3`, `.mp4`, `.wasm`, etc. | \u274c Just says \"Binary file detected\" |\n\n### Gaps worth filling:\n\n**High value \u2014 model could actually use the content:**\n- **SVG** \u2014 currently treated as text (which works), but could be rendered to image for vision\n- **CSV / TSV** \u2014 works as text, but could format as a table for better readability\n- **DOCX / XLSX** \u2014 super common, currently just \"binary file detected\" \n- **EPUB** \u2014 same, just \"binary\"\n- **SQLite / `.db`** \u2014 could dump schema + sample rows\n- **Jupyter notebooks (`.ipynb`)** \u2014 it's JSON, so it reads, but could strip output blobs and format nicely\n\n**Medium value \u2014 nice to have:**\n- **Archives** (`.zip`, `.tar.gz`) \u2014 could list contents instead of \"binary\"\n- **Audio/video** \u2014 could show duration/codec metadata via `ffprobe`\n- **`.plist`** (macOS) \u2014 binary plist could be decoded\n\n**The big one (from our earlier discussion):**\n- **Images \u2192 model vision** \u2014 `ToolOutput` needs an `images` field so the model can actually *see* file_read images, not just get metadata\n\nWhat do you want to tackle? I'd suggest starting with:\n1. **Image vision support** (biggest impact \u2014 fixes the blindness problem)\n2. **DOCX/XLSX** (very common in real workflows)\n3. **Archive listing** (quick win)", "speed": 80}, {"t": 19100, "event": "token_usage", "input": 5049, "output": 532, "cache_read": 29593, "cache_creation": 110}, {"t": 19100, "event": "done"}, {"t": 19900, "event": "user_message", "text": "okay. that would be great. lets not do the sqlite one though, or hte juputer notebook one "}, {"t": 20700, "event": "user_message", "text": "and lets also make it so that if it reads an image, it writes it to the daigram side panel. we should convert diagram sidepanel to be just pinned content panel ro something instead. "}, {"t": 21500, "event": "thinking", "duration": 800}, {"t": 21700, "event": "stream_text", "text": "\n\nLet me plan this out and understand the current diagram side panel before diving in.", "speed": 80}, {"t": 21800, "event": "token_usage", "input": 85, "output": 435, "cache_read": 15047, "cache_creation": 20248}, {"t": 21800, "event": "tool_start", "name": "todowrite", "input": {"todos": [{"content": "Add images field to ToolOutput so model can see images via vision", "id": "1", "priority": "high", "status": "pending"}, {"content": "Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation", "id": "2", "priority": "high", "status": "pending"}, {"content": "Rename diagram side panel to pinned content panel", "id": "3", "priority": "high", "status": "pending"}, {"content": "Display file_read images in the pinned content panel", "id": "4", "priority": "high", "status": "pending"}, {"content": "Add DOCX support to file_read", "id": "5", "priority": "medium", "status": "pending"}, {"content": "Add XLSX support to file_read", "id": "6", "priority": "medium", "status": "pending"}, {"content": "Add archive listing (.zip, .tar.gz) to file_read", "id": "7", "priority": "medium", "status": "pending"}, {"content": "Add audio/video metadata to file_read (ffprobe)", "id": "8", "priority": "low", "status": "pending"}, {"content": "Add EPUB text extraction to file_read", "id": "9", "priority": "low", "status": "pending"}, {"content": "Add SVG rendering to file_read", "id": "10", "priority": "low", "status": "pending"}]}}, {"t": 21900, "event": "tool_done", "name": "todowrite", "output": "[\n {\n \"content\": \"Add images field to ToolOutput so model can see images via vision\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"1\"\n },\n {\n \"content\": \"Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"2\"\n },\n {\n \"content\": \"Rename diagram side panel to pinned content panel\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"3\"\n },\n {\n \"content\": \"Display file...", "is_error": false}, {"t": 22400, "event": "thinking", "duration": 800}, {"t": 22600, "event": "stream_text", "text": "Now let me explore the diagram side panel to understand its current structure:", "speed": 80}, {"t": 22700, "event": "token_usage", "input": 503, "output": 193, "cache_read": 35295, "cache_creation": 513}, {"t": 22700, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "diagram.*panel|side.?panel|DiagramPanel|diagram_panel|show_diagram"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "mermaid_panel|mermaid_side|render_diagram|diagram_widget"}, "tool": "file_grep"}, {"parameters": {"path": "src/tui"}, "tool": "ls"}]}}, {"t": 22800, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 1 matches for 'diagram.*panel|side.?panel|DiagramPanel|diagram_panel|show_diagram'\n\nmarkdown.rs:\n 58: /// In this mode mermaid diagrams update an ephemeral side-panel preview\n\n\n--- [2] file_grep ---\nFound 9 matches for 'mermaid_panel|mermaid_side|render_diagram|diagram_widget'\n\nmarkdown.rs:\n 343: fn mermaid_sidebar_placeholder(text: &str) -> Line<'static> {\n 713: lines.push(mermaid_sidebar_placeholder(\"\u2197 mermaid diagram (sid...", "is_error": false}, {"t": 23300, "event": "thinking", "duration": 800}, {"t": 23500, "event": "token_usage", "input": 497, "output": 152, "cache_read": 35808, "cache_creation": 698}, {"t": 23500, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"file_path": "src/tui/info_widget.rs", "limit": 80, "offset": 1420}, "tool": "file_read"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "InfoTab|info_tab|Tab::Diagram|Diagrams|tab.*diagram|diagram.*tab"}, "tool": "file_grep"}]}}, {"t": 23600, "event": "tool_done", "name": "batch", "output": "--- [1] file_read ---\n 1421\t // Semi-transparent looking border (using dim colors)\n 1422\t let block = Block::default()\n 1423\t .borders(Borders::ALL)\n 1424\t .border_type(BorderType::Rounded)\n 1425\t .border_style(Style::default().fg(Color::Rgb(70, 70, 80)).dim());\n 1426\t\n 1427\t let inner = block.inner(rect);\n 1428\t\n 1429\t // Diagrams need special handling - render image instead of text\n 1430\t if placement.kind == WidgetKind::Diagrams {\n 1431\t frame.ren...", "is_error": false}, {"t": 24100, "event": "thinking", "duration": 800}, {"t": 24300, "event": "token_usage", "input": 673, "output": 98, "cache_read": 36506, "cache_creation": 649}, {"t": 24300, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/info_widget.rs", "limit": 120, "offset": 210}}, {"t": 24400, "event": "tool_done", "name": "read", "output": " 211\t /// Todo list with progress\n 212\t Todos,\n 213\t /// Token/context usage bar\n 214\t ContextUsage,\n 215\t /// Memory sidecar activity\n 216\t MemoryActivity,\n 217\t /// Subagents/sessions status\n 218\t SwarmStatus,\n 219\t /// Background work indicator\n 220\t BackgroundTasks,\n 221\t /// 5-hour/weekly subscription bars\n 222\t UsageLimits,\n 223\t /// Current model name\n 224\t ModelInfo,\n 225\t /// Mermaid diagrams\n 226\t Diagrams,\n 227\t //...", "is_error": false}, {"t": 24600, "event": "thinking", "duration": 800}, {"t": 24800, "event": "token_usage", "input": 1652, "output": 99, "cache_read": 37155, "cache_creation": 771}, {"t": 24800, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/info_widget.rs", "limit": 180, "offset": 1450}}, {"t": 24900, "event": "tool_done", "name": "read", "output": " 1451\t }\n 1452\t frame.render_widget(block, rect);\n 1453\t let para = Paragraph::new(lines);\n 1454\t frame.render_widget(para, inner);\n 1455\t}\n 1456\t\n 1457\t/// Render mermaid diagrams widget (renders images, not text)\n 1458\tfn render_diagrams_widget(frame: &mut Frame, inner: Rect, data: &InfoWidgetData) {\n 1459\t if data.diagrams.is_empty() {\n 1460\t return;\n 1461\t }\n 1462\t\n 1463\t // For now, just render the first/most recent diagram\n 1464\t // Could add pagination la...", "is_error": false}, {"t": 25400, "event": "thinking", "duration": 800}, {"t": 25600, "event": "stream_text", "text": "Now let me look at how diagrams data flows into the widget:", "speed": 80}, {"t": 25700, "event": "token_usage", "input": 2659, "output": 161, "cache_read": 37926, "cache_creation": 1751}, {"t": 25700, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "diagrams.*push|diagrams.*=|DiagramEntry|struct.*Diagram"}, "tool": "file_grep"}, {"parameters": {"file_path": "src/tui/info_widget.rs", "limit": 60, "offset": 680}, "tool": "file_read"}]}}, {"t": 25800, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 21 matches for 'diagrams.*push|diagrams.*=|DiagramEntry|struct.*Diagram'\n\ninfo_widget.rs:\n 614: pub struct DiagramInfo {\n\nmermaid.rs:\n 102: struct ActiveDiagram {\n 478: if let Ok(diagrams) = ACTIVE_DIAGRAMS.lock() {\n 479: out.active_diagrams = diagrams.len();\n 614: if let Ok(mut diagrams) = ACTIVE_DIAGRAMS.lock() {\n 615: if let Some(pos) = diagrams.iter().position(|d| d.hash == hash) {\n 622: diagrams.push(existing);...", "is_error": false}, {"t": 26300, "event": "thinking", "duration": 800}, {"t": 26500, "event": "token_usage", "input": 755, "output": 98, "cache_read": 39677, "cache_creation": 2820}, {"t": 26500, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/info_widget.rs", "limit": 40, "offset": 610}}, {"t": 26600, "event": "tool_done", "name": "read", "output": " 611\t\n 612\t/// Info about a mermaid diagram for display in the info widget\n 613\t#[derive(Debug, Clone)]\n 614\tpub struct DiagramInfo {\n 615\t /// Hash for mermaid cache lookup\n 616\t pub hash: u64,\n 617\t /// Original PNG width\n 618\t pub width: u32,\n 619\t /// Original PNG height\n 620\t pub height: u32,\n 621\t /// Optional label/title\n 622\t pub label: Option<String>,\n 623\t}\n 624\t\n 625\t/// Ambient mode status data for the info widget\n 626\t#[derive(Debug, Clone)...", "is_error": false}, {"t": 27100, "event": "thinking", "duration": 800}, {"t": 27300, "event": "stream_text", "text": "Now let me look at how app.rs builds the diagram data:", "speed": 80}, {"t": 27400, "event": "token_usage", "input": 539, "output": 112, "cache_read": 42497, "cache_creation": 853}, {"t": 27400, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 40, "offset": 1350}}, {"t": 27500, "event": "tool_done", "name": "read", "output": " 1351\t } else {\n 1352\t self.set_status_notice(\"Focus: chat\");\n 1353\t }\n 1354\t }\n 1355\t\n 1356\t fn cycle_diagram(&mut self, direction: i32) {\n 1357\t let diagrams = crate::tui::mermaid::get_active_diagrams();\n 1358\t let count = diagrams.len();\n 1359\t if count == 0 {\n 1360\t return;\n 1361\t }\n 1362\t let current = self.diagram_index.min(count - 1);\n 1363\t let next = if direction < 0 {\n 1364\t if current == ...", "is_error": false}, {"t": 28000, "event": "thinking", "duration": 800}, {"t": 28200, "event": "stream_text", "text": "Now let me check what deps we currently have and what we might need for DOCX/XLSX:", "speed": 80}, {"t": 28300, "event": "token_usage", "input": 606, "output": 144, "cache_read": 43350, "cache_creation": 651}, {"t": 28300, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"file_path": "Cargo.toml", "pattern": "docx|xlsx|zip|calamine|office|epub"}, "tool": "file_grep"}, {"parameters": {"file_path": "Cargo.toml"}, "tool": "file_read"}]}}, {"t": 28400, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 11 matches for 'docx|xlsx|zip|calamine|office|epub'\n\nsrc/tool/edit.rs:\n 235: .zip(old_lines.iter())\n\nsrc/tool/grep.rs:\n 186: \"png\", \"jpg\", \"jpeg\", \"gif\", \"bmp\", \"ico\", \"webp\", \"pdf\", \"zip\", \"tar\", \"gz\", \"bz2\",\n\nsrc/tool/mod.rs:\n 706: for (d1, d2) in defs1.iter().zip(defs2.iter()) {\n\nsrc/tool/read.rs:\n 158: \"png\", \"jpg\", \"jpeg\", \"gif\", \"bmp\", \"ico\", \"webp\", \"zip\", \"tar\", \"gz\", \"bz2\", \"xz\",\n\nsrc/tui/app.rs:\n 8690: ...", "is_error": false}, {"t": 28900, "event": "thinking", "duration": 800}, {"t": 29100, "event": "token_usage", "input": 855, "output": 76, "cache_read": 44001, "cache_creation": 750}, {"t": 29100, "event": "tool_start", "name": "read", "input": {"file_path": "Cargo.toml", "offset": 23}}, {"t": 29200, "event": "tool_done", "name": "read", "output": " 24\t# Memory allocator (reduces fragmentation for long-running server)\n 25\ttikv-jemallocator = { version = \"0.6\", optional = true }\n 26\t\n 27\t# Async runtime\n 28\ttokio = { version = \"1\", features = [\"full\", \"process\"] }\n 29\tfutures = \"0.3\"\n 30\tasync-trait = \"0.1\"\n 31\t\n 32\t# HTTP client\n 33\treqwest = { version = \"0.12\", features = [\"json\", \"stream\", \"blocking\"] }\n 34\ttokio-tungstenite = { version = \"0.24\", default-features = false, features = [\"connect\", \"rustls-tls-native...", "is_error": false}, {"t": 29700, "event": "thinking", "duration": 800}, {"t": 29900, "event": "stream_text", "text": "Now I have a full picture. Let me check available Rust crates for DOCX/XLSX/archives:", "speed": 80}, {"t": 30000, "event": "token_usage", "input": 1503, "output": 161, "cache_read": 44751, "cache_creation": 931}, {"t": 30000, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"query": "rust docx text extraction crate docx-rs read"}, "tool": "codesearch"}, {"parameters": {"query": "rust calamine xlsx csv read spreadsheet crate"}, "tool": "codesearch"}, {"parameters": {"query": "rust epub text extraction crate"}, "tool": "codesearch"}]}}, {"t": 30200, "event": "tool_done", "name": "batch", "output": "--- [1] codesearch ---\n## Reading .docx docs - by Will - Rusting\nhttps://rusting.substack.com/p/reading-docx-docs\n\nnote on importing and parsing\n \n Will's avatar \n ... The DOCX file format is a staple in offices and educational institutions worldwide. It's mainly used in Microsoft Word ... There may come a time when you need to read or manipulate DOCX files with a Rust-based application. Perhaps you are developing a web service that allows users to upload reports, or maybe you're crafting a d...", "is_error": false}, {"t": 30700, "event": "thinking", "duration": 800}, {"t": 30900, "event": "token_usage", "input": 980, "output": 63, "cache_read": 45682, "cache_creation": 1664}, {"t": 30900, "event": "tool_start", "name": "codesearch", "input": {"query": "rust docx-lite crate text extraction usage example"}}, {"t": 31100, "event": "tool_done", "name": "codesearch", "output": "## docx-lite - crates.io: Rust Package Registry\nhttps://crates.io/crates/docx-lite\n\nCrate size: 11.4 KB\n- Downloads: 38,593 ... ## Owners\n\n- bulpara \u2014 Irfan Eralp Kavakli\n\n---\n\n## README\n\n# docx-lite Crates.io Documentation License A lightweight, fast DOCX text extraction library for Rust with minimal dependencies.\n\n## Features ... - \ud83c\udfaf **Simple API** - Easy to use with both simple and advanced APIs ... ## Installation\n\nAdd this to your `Cargo.toml`:\n\n```toml\n[dependencies]\ndocx-lite = \"0...", "is_error": false}, {"t": 31900, "event": "thinking", "duration": 800}, {"t": 32100, "event": "stream_text", "text": "Good - `docx-lite` is perfect (minimal deps: only zip, quick-xml, thiserror). `calamine` for xlsx. We already have `zip` support via `flate2`/`tar`. Let me now understand the full approach and start implementing.", "speed": 80}, {"t": 32300, "event": "token_usage", "input": 3679, "output": 480, "cache_read": 47346, "cache_creation": 1043}, {"t": 32300, "event": "tool_start", "name": "todowrite", "input": {"todos": [{"content": "Add images field to ToolOutput so model can see images via vision", "id": "1", "priority": "high", "status": "in_progress"}, {"content": "Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation", "id": "2", "priority": "high", "status": "pending"}, {"content": "Rename diagram side panel to pinned content panel", "id": "3", "priority": "high", "status": "pending"}, {"content": "Display file_read images in the pinned content panel", "id": "4", "priority": "high", "status": "pending"}, {"content": "Add DOCX support to file_read (docx-lite crate)", "id": "5", "priority": "medium", "status": "pending"}, {"content": "Add XLSX support to file_read (calamine crate)", "id": "6", "priority": "medium", "status": "pending"}, {"content": "Add archive listing (.zip, .tar.gz) to file_read", "id": "7", "priority": "medium", "status": "pending"}, {"content": "Add audio/video metadata to file_read (ffprobe)", "id": "8", "priority": "low", "status": "pending"}, {"content": "Add EPUB text extraction to file_read", "id": "9", "priority": "low", "status": "pending"}, {"content": "Add SVG rendering to file_read", "id": "10", "priority": "low", "status": "pending"}]}}, {"t": 32400, "event": "tool_done", "name": "todowrite", "output": "[\n {\n \"content\": \"Add images field to ToolOutput so model can see images via vision\",\n \"status\": \"in_progress\",\n \"priority\": \"high\",\n \"id\": \"1\"\n },\n {\n \"content\": \"Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"2\"\n },\n {\n \"content\": \"Rename diagram side panel to pinned content panel\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"3\"\n },\n {\n \"content\": \"Display ...", "is_error": false}, {"t": 32900, "event": "thinking", "duration": 800}, {"t": 33100, "event": "stream_text", "text": "Let me first understand how tool results flow through the agent to see the wiring needed:", "speed": 80}, {"t": 33200, "event": "token_usage", "input": 517, "output": 129, "cache_read": 48389, "cache_creation": 4163}, {"t": 33200, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/agent.rs", "pattern": "tool_result|ToolResult|ToolOutput|execute_tool|run_tool"}}, {"t": 33300, "event": "tool_done", "name": "grep", "output": "Found 59 matches for 'tool_result|ToolResult|ToolOutput|execute_tool|run_tool'\n\n 14: use crate::provider::{NativeToolResult, Provider};\n 305: if let ContentBlock::ToolResult { tool_use_id, .. } = block {\n 329: let tool_block = ContentBlock::ToolResult {\n 622: ContentBlock::ToolResult { content, .. } => {\n 751: ContentBlock::ToolResult {\n 1115: pub async fn execute_tool(\n 1119: ) -> Result<crat...", "is_error": false}, {"t": 33800, "event": "thinking", "duration": 800}, {"t": 34000, "event": "stream_text", "text": "Let me look at the key area where ToolOutput gets converted to ContentBlock:", "speed": 80}, {"t": 34100, "event": "token_usage", "input": 1315, "output": 112, "cache_read": 52552, "cache_creation": 646}, {"t": 34100, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 80, "offset": 1665}}, {"t": 34200, "event": "tool_done", "name": "read", "output": " 1666\t }\n 1667\t let ctx = ToolContext {\n 1668\t session_id: self.session.id.clone(),\n 1669\t message_id: self.session.id.clone(),\n 1670\t tool_call_id: request_id.clone(),\n 1671\t working_dir: self.working_dir().map(PathBuf::from),\n 1672\t };\n 1673\t let tool_result = self.registry.execute(&tool_name, ...", "is_error": false}, {"t": 34700, "event": "thinking", "duration": 800}, {"t": 34900, "event": "stream_text", "text": "Now let me see the main tool execution + tool result building in the streaming path:", "speed": 80}, {"t": 35000, "event": "token_usage", "input": 1254, "output": 112, "cache_read": 53198, "cache_creation": 1427}, {"t": 35000, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 100, "offset": 1810}}, {"t": 35100, "event": "tool_done", "name": "read", "output": " 1811\t .unwrap_or_else(|| self.session.id.clone());\n 1812\t\n 1813\t let is_native_tool = JCODE_NATIVE_TOOLS.contains(&tc.name.as_str());\n 1814\t\n 1815\t // Check if SDK already executed this tool\n 1816\t if let Some((sdk_content, sdk_is_error)) = sdk_tool_results.remove(&tc.id) {\n 1817\t // For native tools, ignore SDK errors and execute locally\n 1818\t if is_native_tool && sdk_is_error {\n 1819\t ...", "is_error": false}, {"t": 35600, "event": "thinking", "duration": 800}, {"t": 35800, "event": "token_usage", "input": 1507, "output": 94, "cache_read": 54625, "cache_creation": 1366}, {"t": 35800, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 80, "offset": 1910}}, {"t": 35900, "event": "tool_done", "name": "read", "output": " 1911\t ));\n 1912\t\n 1913\t match result {\n 1914\t Ok(output) => {\n 1915\t Bus::global().publish(BusEvent::ToolUpdated(ToolEvent {\n 1916\t session_id: self.session.id.clone(),\n 1917\t message_id: message_id.clone(),\n 1918\t tool_call_id: tc.id.clone(),\n 1919\t tool_name: tc.name.clone(),\n 1920\t sta...", "is_error": false}, {"t": 35900, "event": "user_message", "text": "oh adn we shuld have control 1 2345 etc switch us to like the first, second, etc entry in the panel. so it shows us like fi we pressed control 1, the first thing that was aved toe hte panel, and then control 2 would be the soncd thing, etc. "}, {"t": 36700, "event": "thinking", "duration": 800}, {"t": 36900, "event": "stream_text", "text": "\n\nGot it. Let me look at the other places where tool results are built to understand the full scope, then plan the implementation:", "speed": 80}, {"t": 37000, "event": "token_usage", "input": 1208, "output": 247, "cache_read": 55991, "cache_creation": 1601}, {"t": 37000, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/agent.rs", "pattern": "add_message.*ToolResult|ToolResult.*content.*output"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "Ctrl.*1|Ctrl.*2|Ctrl.*3|KeyCode::Char\\('1'\\)|KeyCode::Char\\('2'\\)"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "diagram_index|diagram_scroll|diagram_pane"}, "tool": "file_grep"}]}}, {"t": 37100, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 0 matches for 'add_message.*ToolResult|ToolResult.*content.*output'\n\n\n\n--- [2] file_grep ---\nFound 0 matches for 'Ctrl.*1|Ctrl.*2|Ctrl.*3|KeyCode::Char\\('1'\\)|KeyCode::Char\\('2'\\)'\n\n\n\n--- [3] file_grep ---\nFound 100 matches for 'diagram_index|diagram_scroll|diagram_pane'\n\napp.rs:\n 398: diagram_index: usize,\n 399: diagram_scroll_x: i32,\n 400: diagram_scroll_y: i32,\n 401: diagram_pane_ratio: u8,\n 402: diagram_pane_enabled: bool,\n 403: ...", "is_error": false}, {"t": 37300, "event": "thinking", "duration": 800}, {"t": 37500, "event": "token_usage", "input": 474, "output": 96, "cache_read": 57592, "cache_creation": 1456}, {"t": 37500, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 30, "offset": 393}}, {"t": 37600, "event": "tool_done", "name": "read", "output": " 394\t processing_started: Option<Instant>,\n 395\t status_notice: Option<(String, Instant)>,\n 396\t diagram_mode: crate::config::DiagramDisplayMode,\n 397\t diagram_focus: bool,\n 398\t diagram_index: usize,\n 399\t diagram_scroll_x: i32,\n 400\t diagram_scroll_y: i32,\n 401\t diagram_pane_ratio: u8,\n 402\t diagram_pane_enabled: bool,\n 403\t diagram_pane_position: crate::config::DiagramPanePosition,\n 404\t diagram_zoom: u8,\n 405\t}\n 406\t\n 407\tfn rect_from_capture...", "is_error": false}, {"t": 37800, "event": "thinking", "duration": 800}, {"t": 38000, "event": "stream_text", "text": "Now let me look at the config for diagram mode:", "speed": 80}, {"t": 38100, "event": "token_usage", "input": 456, "output": 110, "cache_read": 59048, "cache_creation": 570}, {"t": 38100, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src", "pattern": "DiagramDisplayMode|DiagramPanePosition\""}}, {"t": 38200, "event": "tool_done", "name": "grep", "output": "Found 35 matches for 'DiagramDisplayMode|DiagramPanePosition\"'\n\nbin/tui_bench.rs:\n 323: fn diagram_mode(&self) -> jcode::config::DiagramDisplayMode {\n 324: jcode::config::DiagramDisplayMode::Pinned\n\ntui/markdown.rs:\n 16: use crate::config::{config, DiagramDisplayMode};\n 53: static DIAGRAM_MODE_OVERRIDE: LazyLock<Mutex<Option<DiagramDisplayMode>>> =\n 63: pub fn set_diagram_mode_override(mode: Option<DiagramDisplayMode>) {\n 69: pub fn get_diagram_mode_override() -> O...", "is_error": false}, {"t": 38700, "event": "thinking", "duration": 800}, {"t": 38900, "event": "token_usage", "input": 902, "output": 104, "cache_read": 59618, "cache_creation": 566}, {"t": 38900, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/config.rs", "pattern": "DiagramDisplayMode|DiagramPanePosition|diagram\""}}, {"t": 39000, "event": "tool_done", "name": "grep", "output": "Found 4 matches for 'DiagramDisplayMode|DiagramPanePosition|diagram\"'\n\n 81: pub enum DiagramDisplayMode {\n 93: pub enum DiagramPanePosition {\n 116: pub diagram_mode: DiagramDisplayMode,\n 130: diagram_mode: DiagramDisplayMode::default(),\n", "is_error": false}, {"t": 39500, "event": "thinking", "duration": 800}, {"t": 39700, "event": "token_usage", "input": 95, "output": 93, "cache_read": 60184, "cache_creation": 1006}, {"t": 39700, "event": "tool_start", "name": "read", "input": {"file_path": "src/config.rs", "limit": 65, "offset": 75}}, {"t": 39800, "event": "tool_done", "name": "read", "output": " 76\t}\n 77\t\n 78\t/// How to display mermaid diagrams\n 79\t#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Default, Serialize, Deserialize)]\n 80\t#[serde(rename_all = \"lowercase\")]\n 81\tpub enum DiagramDisplayMode {\n 82\t /// Don't show diagrams in dedicated widgets (only inline in messages)\n 83\t None,\n 84\t /// Show diagrams in info widget margins (opportunistic, if space available)\n 85\t Margin,\n 86\t /// Show diagrams in a dedicated pinned pane (forces space al...", "is_error": false}, {"t": 40300, "event": "thinking", "duration": 800}, {"t": 40500, "event": "stream_text", "text": "Now let me look at the UI rendering code for the diagram pane:", "speed": 80}, {"t": 40600, "event": "token_usage", "input": 831, "output": 113, "cache_read": 61190, "cache_creation": 188}, {"t": 40600, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/ui.rs", "limit": 100, "offset": 1825}}, {"t": 40700, "event": "tool_done", "name": "read", "output": " 1826\t let diagrams = super::mermaid::get_active_diagrams();\n 1827\t let diagram_count = diagrams.len();\n 1828\t let selected_index = if diagram_count > 0 {\n 1829\t app.diagram_index().min(diagram_count - 1)\n 1830\t } else {\n 1831\t 0\n 1832\t };\n 1833\t let pane_enabled = app.diagram_pane_enabled();\n 1834\t let pane_position = app.diagram_pane_position();\n 1835\t let pinned_diagram =\n 1836\t if diagram_mode == crate::config::DiagramDisplayMode::Pinned && pan...", "is_error": false}, {"t": 41200, "event": "thinking", "duration": 800}, {"t": 41400, "event": "stream_text", "text": "Now let me see the pinned diagram rendering:", "speed": 80}, {"t": 41500, "event": "token_usage", "input": 1802, "output": 108, "cache_read": 61378, "cache_creation": 944}, {"t": 41500, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/ui.rs", "limit": 100, "offset": 3940}}, {"t": 41600, "event": "tool_done", "name": "read", "output": " 3941\t // during streaming/incremental markdown updates.\n 3942\t frame.render_widget(Clear, area);\n 3943\t\n 3944\t // Render text first\n 3945\t let paragraph = Paragraph::new(visible_lines);\n 3946\t frame.render_widget(paragraph, area);\n 3947\t\n 3948\t // Use pre-computed image regions (scanned once during preparation, not every frame)\n 3949\t let centered = app.centered_mode();\n 3950\t let diagram_mode = app.diagram_mode();\n 3951\t if diagram_mode != crate::config::DiagramDi...", "is_error": false}, {"t": 42100, "event": "thinking", "duration": 800}, {"t": 42300, "event": "stream_text", "text": "Now let me look at the pinned pane rendering (where the diagram is drawn in the side panel):", "speed": 80}, {"t": 42400, "event": "token_usage", "input": 1458, "output": 133, "cache_read": 62322, "cache_creation": 1910}, {"t": 42400, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/ui.rs", "pattern": "render_pinned|render_diagram_pane|diagram_area\""}}, {"t": 42500, "event": "tool_done", "name": "grep", "output": "Found 0 matches for 'render_pinned|render_diagram_pane|diagram_area\"'\n\n", "is_error": false}, {"t": 42500, "event": "user_message", "text": "set control b to be the hotkey for background as well instead of alt b. "}, {"t": 43000, "event": "thinking", "duration": 800}, {"t": 43200, "event": "stream_text", "text": "\n\nLet me find where the keybindings are defined and understand all the pieces I need to change:", "speed": 80}, {"t": 43300, "event": "token_usage", "input": 74, "output": 213, "cache_read": 64232, "cache_creation": 1591}, {"t": 43300, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "Alt.*'b'|alt.*background|background.*key|BackgroundTasks"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui", "pattern": "diagram_area|render.*diagram.*pane|draw.*pinned"}, "tool": "file_grep"}, {"parameters": {"file_path": "src/tui/ui.rs", "pattern": "diagram_area"}, "tool": "file_grep"}]}}, {"t": 43400, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 10 matches for 'Alt.*'b'|alt.*background|background.*key|BackgroundTasks'\n\ninfo_widget.rs:\n 220: BackgroundTasks,\n 243: WidgetKind::BackgroundTasks => 6,\n 260: WidgetKind::BackgroundTasks => Side::Left,\n 277: WidgetKind::BackgroundTasks => 2,\n 294: WidgetKind::BackgroundTasks,\n 310: WidgetKind::BackgroundTasks => \"background\",\n 341: | WidgetKind::BackgroundTasks\n 773: ...", "is_error": false}, {"t": 43900, "event": "thinking", "duration": 800}, {"t": 44100, "event": "token_usage", "input": 947, "output": 160, "cache_read": 65823, "cache_creation": 288}, {"t": 44100, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"include": "*.rs", "path": "src/tui/app.rs", "pattern": "Alt.*'b'|Char\\('b'\\).*Modifier.*ALT"}, "tool": "file_grep"}, {"parameters": {"include": "*.rs", "path": "src/tui/keybind.rs", "pattern": "background|alt.*b|Alt.*b"}, "tool": "file_grep"}]}}, {"t": 44200, "event": "tool_done", "name": "batch", "output": "--- [1] file_grep ---\nFound 0 matches for 'Alt.*'b'|Char\\('b'\\).*Modifier.*ALT'\n\n\n\n--- [2] file_grep ---\nFound 0 matches for 'background|alt.*b|Alt.*b'\n\n\n\nCompleted: 2 succeeded, 0 failed", "is_error": false}, {"t": 44400, "event": "thinking", "duration": 800}, {"t": 44600, "event": "token_usage", "input": 96, "output": 105, "cache_read": 66111, "cache_creation": 1107}, {"t": 44600, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui", "pattern": "\"background|bg_tool|toggle_bg|background_tasks\""}}, {"t": 44700, "event": "tool_done", "name": "grep", "output": "Found 2 matches for '\"background|bg_tool|toggle_bg|background_tasks\"'\n\ninfo_widget.rs:\n 310: WidgetKind::BackgroundTasks => \"background\",\n\napp.rs:\n 12344: assert!(msg.content.contains(\"background\"));\n", "is_error": false}, {"t": 44900, "event": "thinking", "duration": 800}, {"t": 45100, "event": "token_usage", "input": 88, "output": 109, "cache_read": 67218, "cache_creation": 201}, {"t": 45100, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/app.rs", "pattern": "\"run_in_background|background.*true|in_background\""}}, {"t": 45200, "event": "tool_done", "name": "grep", "output": "Found 0 matches for '\"run_in_background|background.*true|in_background\"'\n\n", "is_error": false}, {"t": 45700, "event": "thinking", "duration": 800}, {"t": 45900, "event": "token_usage", "input": 41, "output": 101, "cache_read": 15047, "cache_creation": 52574}, {"t": 45900, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/app.rs", "pattern": "\"Alt, 'b'\""}}, {"t": 46000, "event": "tool_done", "name": "grep", "output": "Found 0 matches for '\"Alt, 'b'\"'\n\n", "is_error": false}, {"t": 46500, "event": "thinking", "duration": 800}, {"t": 46700, "event": "token_usage", "input": 33, "output": 118, "cache_read": 67621, "cache_creation": 142}, {"t": 46700, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"ALT\\|alt_b\\|Alt-b\\|background\" src/tui/app.rs | head -30", "description": "Find background keybinding in app.rs"}}, {"t": 46800, "event": "tool_done", "name": "bash", "output": "3455: \"alt\" => modifiers |= KeyModifiers::ALT,\n3558: // Subscribe to bus for background task completion notifications\n3634: // Handle background task completion notifications\n4986: if modifiers.contains(KeyModifiers::ALT) && matches!(code, KeyCode::Char('m')) {\n4990: if modifiers.contains(KeyModifiers::ALT) && matches!(code, KeyCode::Char('t')) {\n5015: if modifiers.contains(KeyModifiers::ALT) {\n5019: remote.b...", "is_error": false}, {"t": 47300, "event": "thinking", "duration": 800}, {"t": 47500, "event": "token_usage", "input": 551, "output": 97, "cache_read": 67763, "cache_creation": 151}, {"t": 47500, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 30, "offset": 5010}}, {"t": 47600, "event": "tool_done", "name": "read", "output": " 5011\t return Ok(());\n 5012\t }\n 5013\t // Most key handling is the same as local mode\n 5014\t // Handle Alt combos\n 5015\t if modifiers.contains(KeyModifiers::ALT) {\n 5016\t match code {\n 5017\t KeyCode::Char('b') => {\n 5018\t if matches!(self.status, ProcessingStatus::RunningTool(_)) {\n 5019\t remote.background_tool().await?;\n 5020\t self.set_status_notice(\"Moving tool to...", "is_error": false}, {"t": 48100, "event": "thinking", "duration": 800}, {"t": 48300, "event": "stream_text", "text": "Now let me see the same pattern for local mode:", "speed": 80}, {"t": 48400, "event": "token_usage", "input": 467, "output": 109, "cache_read": 67914, "cache_creation": 648}, {"t": 48400, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 40, "offset": 5640}}, {"t": 48500, "event": "tool_done", "name": "read", "output": " 5641\t return Ok(());\n 5642\t }\n 5643\t self.normalize_diagram_state();\n 5644\t let diagram_available = self.diagram_available();\n 5645\t if self.handle_diagram_focus_key(code.clone(), modifiers, diagram_available) {\n 5646\t return Ok(());\n 5647\t }\n 5648\t // Handle Alt combos (readline word movement)\n 5649\t if modifiers.contains(KeyModifiers::ALT) {\n 5650\t match code {\n 5651\t KeyCode::Char('b') => {\n 5...", "is_error": false}, {"t": 49000, "event": "thinking", "duration": 800}, {"t": 49200, "event": "stream_text", "text": "I see - Alt+B is currently \"back one word\" (readline behavior), and when a tool is running in remote mode it doubles as \"background tool\". Let me find the Ctrl+B binding:", "speed": 80}, {"t": 49400, "event": "token_usage", "input": 639, "output": 164, "cache_read": 68562, "cache_creation": 576}, {"t": 49400, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/app.rs", "pattern": "Ctrl.*'b'|CONTROL.*'b'|Char\\\\('b'\\\\).*CONTROL\""}}, {"t": 49500, "event": "tool_done", "name": "grep", "output": "Found 0 matches for 'Ctrl.*'b'|CONTROL.*'b'|Char\\\\('b'\\\\).*CONTROL\"'\n\n", "is_error": false}, {"t": 49700, "event": "thinking", "duration": 800}, {"t": 49900, "event": "token_usage", "input": 54, "output": 104, "cache_read": 69138, "cache_creation": 803}, {"t": 49900, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"CONTROL\" src/tui/app.rs | head -40", "description": "Find all CONTROL keybindings"}}, {"t": 50000, "event": "tool_done", "name": "bash", "output": "1464: if !diagram_available || !self.diagram_focus || modifiers.contains(KeyModifiers::CONTROL) {\n1515: if mouse.modifiers.contains(KeyModifiers::CONTROL) {\n3454: \"ctrl\" | \"control\" => modifiers |= KeyModifiers::CONTROL,\n3794: && key.modifiers.contains(KeyModifiers::CONTROL)\n4166: KeyCode::Char('c') if key.modifiers.contains(KeyModifiers::CONTROL) => {\n5073: if modifiers.conta...", "is_error": false}, {"t": 50500, "event": "thinking", "duration": 800}, {"t": 50700, "event": "token_usage", "input": 482, "output": 97, "cache_read": 69941, "cache_creation": 158}, {"t": 50700, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 80, "offset": 5070}}, {"t": 50800, "event": "tool_done", "name": "read", "output": " 5071\t\n 5072\t // Ctrl combos\n 5073\t if modifiers.contains(KeyModifiers::CONTROL) {\n 5074\t if self.handle_diagram_ctrl_key(code.clone(), diagram_available) {\n 5075\t return Ok(());\n 5076\t }\n 5077\t match code {\n 5078\t KeyCode::Char('c') | KeyCode::Char('d') => {\n 5079\t self.handle_quit_request();\n 5080\t return Ok(());\n 5081\t }\n 5082\t KeyCode::Char('r') ...", "is_error": false}, {"t": 51300, "event": "thinking", "duration": 800}, {"t": 51500, "event": "stream_text", "text": "Now let me see the Ctrl keybindings in local mode:", "speed": 80}, {"t": 51600, "event": "token_usage", "input": 1188, "output": 113, "cache_read": 70099, "cache_creation": 579}, {"t": 51600, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 80, "offset": 5715}}, {"t": 51700, "event": "tool_done", "name": "read", "output": " 5716\t }\n 5717\t\n 5718\t // Handle ctrl combos regardless of processing state\n 5719\t if modifiers.contains(KeyModifiers::CONTROL) {\n 5720\t if self.handle_diagram_ctrl_key(code.clone(), diagram_available) {\n 5721\t return Ok(());\n 5722\t }\n 5723\t match code {\n 5724\t KeyCode::Char('c') | KeyCode::Char('d') => {\n 5725\t self.handle_quit_request();\n 5726\t return Ok(());\n 5727\t ...", "is_error": false}, {"t": 52200, "event": "thinking", "duration": 800}, {"t": 52400, "event": "stream_text", "text": "Now I have a solid understanding. Let me also check the `handle_diagram_ctrl_key`:", "speed": 80}, {"t": 52500, "event": "token_usage", "input": 1219, "output": 132, "cache_read": 70678, "cache_creation": 1301}, {"t": 52500, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/app.rs", "pattern": "fn handle_diagram_ctrl_key|fn handle_diagram_focus\""}}, {"t": 52600, "event": "tool_done", "name": "grep", "output": "Found 1 matches for 'fn handle_diagram_ctrl_key|fn handle_diagram_focus\"'\n\n 1433: fn handle_diagram_ctrl_key(&mut self, code: KeyCode, diagram_available: bool) -> bool {\n", "is_error": false}, {"t": 53100, "event": "thinking", "duration": 800}, {"t": 53300, "event": "token_usage", "input": 76, "output": 97, "cache_read": 71979, "cache_creation": 1351}, {"t": 53300, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/app.rs", "limit": 60, "offset": 1433}}, {"t": 53400, "event": "tool_done", "name": "read", "output": " 1434\t if !diagram_available {\n 1435\t return false;\n 1436\t }\n 1437\t match code {\n 1438\t KeyCode::Left => {\n 1439\t self.cycle_diagram(-1);\n 1440\t true\n 1441\t }\n 1442\t KeyCode::Right => {\n 1443\t self.cycle_diagram(1);\n 1444\t true\n 1445\t }\n 1446\t KeyCode::Char('h') => {\n 1447\t self.set_diagram_focus(false);\n 1448\t true\n 1...", "is_error": false}, {"t": 53900, "event": "thinking", "duration": 800}, {"t": 54100, "event": "stream_text", "text": "Now let me see how the pinned diagram pane is rendered in ui.rs:", "speed": 80}, {"t": 54200, "event": "token_usage", "input": 880, "output": 116, "cache_read": 73330, "cache_creation": 173}, {"t": 54200, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/ui.rs", "limit": 60, "offset": 2055}}, {"t": 54300, "event": "tool_done", "name": "read", "output": " 2056\t if let Some(ref mut capture) = debug_capture {\n 2057\t capture.layout.messages_area = Some(messages_area.into());\n 2058\t capture.layout.diagram_area = diagram_area.map(|r| r.into());\n 2059\t }\n 2060\t record_layout_snapshot(messages_area, diagram_area);\n 2061\t\n 2062\t let margins = draw_messages(frame, app, messages_area, &prepared);\n 2063\t\n 2064\t // Render pinned diagram if we have one\n 2065\t if let (Some(diagram_info), Some(area)) = (&pinned_diagram, diagr...", "is_error": false}, {"t": 54800, "event": "thinking", "duration": 800}, {"t": 55000, "event": "token_usage", "input": 866, "output": 102, "cache_read": 73503, "cache_creation": 996}, {"t": 55000, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/ui.rs", "pattern": "fn draw_pinned_diagram\""}}, {"t": 55100, "event": "tool_done", "name": "grep", "output": "Found 0 matches for 'fn draw_pinned_diagram\"'\n\n", "is_error": false}, {"t": 55600, "event": "thinking", "duration": 800}, {"t": 55800, "event": "token_usage", "input": 36, "output": 102, "cache_read": 74499, "cache_creation": 968}, {"t": 55800, "event": "tool_start", "name": "grep", "input": {"include": "*.rs", "path": "src/tui/ui.rs", "pattern": "fn draw_pinned_diagram\""}}, {"t": 55900, "event": "tool_done", "name": "grep", "output": "Found 0 matches for 'fn draw_pinned_diagram\"'\n\n", "is_error": false}, {"t": 56400, "event": "thinking", "duration": 800}, {"t": 56600, "event": "token_usage", "input": 36, "output": 103, "cache_read": 75467, "cache_creation": 138}, {"t": 56600, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"fn draw_pinned\" src/tui/ui.rs", "description": "Find draw_pinned_diagram function"}}, {"t": 56700, "event": "tool_done", "name": "bash", "output": "3780:fn draw_pinned_diagram(\n", "is_error": false}, {"t": 57200, "event": "thinking", "duration": 800}, {"t": 57400, "event": "token_usage", "input": 31, "output": 97, "cache_read": 75605, "cache_creation": 139}, {"t": 57400, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/ui.rs", "limit": 120, "offset": 3780}}, {"t": 57500, "event": "tool_done", "name": "read", "output": " 3781\t frame: &mut Frame,\n 3782\t diagram: &info_widget::DiagramInfo,\n 3783\t area: Rect,\n 3784\t index: usize,\n 3785\t total: usize,\n 3786\t focused: bool,\n 3787\t scroll_x: i32,\n 3788\t scroll_y: i32,\n 3789\t zoom_percent: u8,\n 3790\t pane_position: crate::config::DiagramPanePosition,\n 3791\t) {\n 3792\t use ratatui::widgets::{BorderType, Clear, Paragraph, Wrap};\n 3793\t\n 3794\t if area.width < 5 || area.height < 3 {\n 3795\t return;\n 3796\t }\n 3797\t\n 3798\t l...", "is_error": false}, {"t": 58000, "event": "thinking", "duration": 800}, {"t": 58200, "event": "stream_text", "text": "Good, now I have a comprehensive understanding of the architecture. Let me also check how images from the mermaid module are stored, since we'll need to store arbitrary images there or add a parallel system:", "speed": 80}, {"t": 58400, "event": "token_usage", "input": 1737, "output": 141, "cache_read": 75744, "cache_creation": 128}, {"t": 58400, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/mermaid.rs", "limit": 50, "offset": 95}}, {"t": 58500, "event": "tool_done", "name": "read", "output": " 96\t\n 97\t/// Prevent unbounded growth when a long session contains many unique diagrams.\n 98\tconst ACTIVE_DIAGRAMS_MAX: usize = 128;\n 99\t\n 100\t/// Info about an active diagram (for info widget)\n 101\t#[derive(Clone)]\n 102\tstruct ActiveDiagram {\n 103\t hash: u64,\n 104\t width: u32,\n 105\t height: u32,\n 106\t label: Option<String>,\n 107\t}\n 108\t\n 109\t/// State for a rendered image\n 110\tstruct ImageState {\n 111\t protocol: StatefulProtocol,\n 112\t source_path: Path...", "is_error": false}, {"t": 58700, "event": "thinking", "duration": 800}, {"t": 58900, "event": "stream_text", "text": "Now let me check the `get_active_diagrams` and `register` functions:", "speed": 80}, {"t": 59000, "event": "token_usage", "input": 616, "output": 118, "cache_read": 75872, "cache_creation": 1878}, {"t": 59000, "event": "tool_start", "name": "read", "input": {"file_path": "src/tui/mermaid.rs", "limit": 80, "offset": 600}}, {"t": 59100, "event": "tool_done", "name": "read", "output": " 601\t rss_bytes: parse_proc_status_value_bytes(&status, \"VmRSS:\"),\n 602\t peak_rss_bytes: parse_proc_status_value_bytes(&status, \"VmHWM:\"),\n 603\t virtual_bytes: parse_proc_status_value_bytes(&status, \"VmSize:\"),\n 604\t }\n 605\t}\n 606\t\n 607\t#[cfg(not(target_os = \"linux\"))]\n 608\tfn process_memory_snapshot() -> ProcessMemorySnapshot {\n 609\t ProcessMemorySnapshot::default()\n 610\t}\n 611\t\n 612\t/// Register a diagram as active (call during markdown rendering)\n 61...", "is_error": false}, {"t": 59900, "event": "thinking", "duration": 800}, {"t": 60100, "event": "stream_text", "text": "OK, I now have a thorough understanding of the whole system. This is a big set of changes. Let me break it into phases and start implementing:\n\n**Phase 1:** `ToolOutput` gets an `images` field + wiring through agent \u2192 ContentBlock::Image \n**Phase 2:** file_read returns base64 images in ToolOutput.images \n**Phase 3:** Rename diagram panel to \"pinned content\" panel, support arbitrary images \n**Phase 4:** Ctrl+1/2/3.. to switch pinned items, Ctrl+B for background \n**Phase 5:** DOCX, XLSX, archive, audio/video, EPUB support \n\nLet me start:", "speed": 80}, {"t": 60300, "event": "token_usage", "input": 1033, "output": 740, "cache_read": 15047, "cache_creation": 63434}, {"t": 60300, "event": "tool_start", "name": "todowrite", "input": {"todos": [{"content": "Add images field to ToolOutput so model can see images via vision", "id": "1", "priority": "high", "status": "in_progress"}, {"content": "Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation", "id": "2", "priority": "high", "status": "in_progress"}, {"content": "file_read: return base64 image data in ToolOutput.images for vision", "id": "2b", "priority": "high", "status": "pending"}, {"content": "Rename diagram side panel to pinned content panel + support arbitrary images", "id": "3", "priority": "high", "status": "pending"}, {"content": "Display file_read images in the pinned content panel", "id": "4", "priority": "high", "status": "pending"}, {"content": "Ctrl+1/2/3/4/5 to switch pinned panel entries", "id": "4b", "priority": "high", "status": "pending"}, {"content": "Ctrl+B for background tool (in addition to Alt+B)", "id": "4c", "priority": "high", "status": "pending"}, {"content": "Add DOCX support to file_read (docx-lite crate)", "id": "5", "priority": "medium", "status": "pending"}, {"content": "Add XLSX support to file_read (calamine crate)", "id": "6", "priority": "medium", "status": "pending"}, {"content": "Add archive listing (.zip, .tar.gz) to file_read", "id": "7", "priority": "medium", "status": "pending"}, {"content": "Add audio/video metadata to file_read (ffprobe)", "id": "8", "priority": "low", "status": "pending"}, {"content": "Add EPUB text extraction to file_read", "id": "9", "priority": "low", "status": "pending"}, {"content": "Add SVG rendering to file_read", "id": "10", "priority": "low", "status": "pending"}, {"content": "Build, test, commit", "id": "11", "priority": "high", "status": "pending"}]}}, {"t": 60400, "event": "tool_done", "name": "todowrite", "output": "[\n {\n \"content\": \"Add images field to ToolOutput so model can see images via vision\",\n \"status\": \"in_progress\",\n \"priority\": \"high\",\n \"id\": \"1\"\n },\n {\n \"content\": \"Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation\",\n \"status\": \"in_progress\",\n \"priority\": \"high\",\n \"id\": \"2\"\n },\n {\n \"content\": \"file_read: return base64 image data in ToolOutput.images for vision\",\n \"status\": \"pending\",\n \"priority\": \"high\",\n \"id\": \"2b\"\n },\n {\n ...", "is_error": false}, {"t": 61200, "event": "thinking", "duration": 800}, {"t": 61400, "event": "stream_text", "text": "### Step 1: Add `images` field to `ToolOutput`", "speed": 80}, {"t": 61500, "event": "token_usage", "input": 730, "output": 690, "cache_read": 78481, "cache_creation": 1777}, {"t": 61500, "event": "tool_start", "name": "edit", "input": {"file_path": "src/tool/mod.rs", "new_string": "#[derive(Debug, Clone)]\npub struct ToolOutput {\n pub output: String,\n pub title: Option<String>,\n pub metadata: Option<Value>,\n pub images: Vec<ToolImage>,\n}\n\n#[derive(Debug, Clone)]\npub struct ToolImage {\n pub media_type: String,\n pub data: String,\n pub label: Option<String>,\n}\n\nimpl ToolOutput {\n pub fn new(output: impl Into<String>) -> Self {\n Self {\n output: output.into(),\n title: None,\n metadata: None,\n images: Vec::new(),\n }\n }\n\n pub fn with_title(mut self, title: impl Into<String>) -> Self {\n self.title = Some(title.into());\n self\n }\n\n pub fn with_metadata(mut self, metadata: Value) -> Self {\n self.metadata = Some(metadata);\n self\n }\n\n pub fn with_image(mut self, media_type: impl Into<String>, data: impl Into<String>) -> Self {\n self.images.push(ToolImage {\n media_type: media_type.into(),\n data: data.into(),\n label: None,\n });\n self\n }\n\n pub fn with_labeled_image(\n mut self,\n media_type: impl Into<String>,\n data: impl Into<String>,\n label: impl Into<String>,\n ) -> Self {\n self.images.push(ToolImage {\n media_type: media_type.into(),\n data: data.into(),\n label: Some(label.into()),\n });\n self\n }\n}", "old_string": "#[derive(Debug, Clone)]\npub struct ToolOutput {\n pub output: String,\n pub title: Option<String>,\n pub metadata: Option<Value>,\n}\n\nimpl ToolOutput {\n pub fn new(output: impl Into<String>) -> Self {\n Self {\n output: output.into(),\n title: None,\n metadata: None,\n }\n }\n\n pub fn with_title(mut self, title: impl Into<String>) -> Self {\n self.title = Some(title.into());\n self\n }\n\n pub fn with_metadata(mut self, metadata: Value) -> Self {\n self.metadata = Some(metadata);\n self\n }\n}"}}, {"t": 61600, "event": "tool_done", "name": "edit", "output": "Edited src/tool/mod.rs: replaced 1 occurrence(s)\n51+ pub images: Vec<ToolImage>,\n52+ }\n54+ #[derive(Debug, Clone)]\n55+ pub struct ToolImage {\n56+ pub media_type: String,\n57+ pub data: String,\n58+ pub label: Option<String>,\n67+ images: Vec::new(),\n81+ pub fn with_image(mut self, media_type: impl Into<String>, data: impl Into<String>) -> Self {\n82+ self.images.push(ToolImage {\n83+ media_type: media_type.into(),\n84+ data: data.into(),\n85+ label: None,\n86+ });\n87+ self\n88+ }\n90+ pub fn with_label...", "is_error": false}, {"t": 62400, "event": "thinking", "duration": 800}, {"t": 62600, "event": "stream_text", "text": "### Step 2: Wire ToolOutput.images through agent \u2192 ContentBlock::Image\n\nNow I need to modify all the places in agent.rs where tool results are constructed. When `output.images` is non-empty, I need to add `ContentBlock::Image` blocks alongside the `ContentBlock::ToolResult`.\n\nLet me find all the places where `output.output` is used to create `ContentBlock::ToolResult`:", "speed": 80}, {"t": 62800, "event": "token_usage", "input": 991, "output": 196, "cache_read": 15047, "cache_creation": 66627}, {"t": 62800, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"content: output.output\" src/agent.rs", "description": "Find all output.output usages in agent"}}, {"t": 62900, "event": "tool_done", "name": "bash", "output": "1943: content: output.output,\n2480: content: output.output,\n3042: content: output.output,\n", "is_error": false}, {"t": 63400, "event": "thinking", "duration": 800}, {"t": 63600, "event": "stream_text", "text": "Let me look at each of these contexts:", "speed": 80}, {"t": 63700, "event": "token_usage", "input": 56, "output": 174, "cache_read": 81674, "cache_creation": 1187}, {"t": 63700, "event": "tool_start", "name": "batch", "input": {"tool_calls": [{"parameters": {"file_path": "src/agent.rs", "limit": 25, "offset": 1930}, "tool": "file_read"}, {"parameters": {"file_path": "src/agent.rs", "limit": 25, "offset": 2467}, "tool": "file_read"}, {"parameters": {"file_path": "src/agent.rs", "limit": 30, "offset": 3030}, "tool": "file_read"}]}}, {"t": 63800, "event": "tool_done", "name": "batch", "output": "--- [1] file_read ---\n 1931\t let preview = if output.output.len() > 200 {\n 1932\t format!(\"{}...\", crate::util::truncate_str(&output.output, 200))\n 1933\t } else {\n 1934\t output.output.clone()\n 1935\t };\n 1936\t println!(\"{}\", preview.lines().next().unwrap_or(\"(done)\"));\n 1937\t }\n 1938\t\n 1939\t ...", "is_error": false}, {"t": 64300, "event": "thinking", "duration": 800}, {"t": 64500, "event": "stream_text", "text": "I also need to check the native tool result path:", "speed": 80}, {"t": 64600, "event": "token_usage", "input": 866, "output": 113, "cache_read": 82861, "cache_creation": 230}, {"t": 64600, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"NativeToolResult::success.*output.output\" src/agent.rs", "description": "Find native result paths"}}, {"t": 64700, "event": "tool_done", "name": "bash", "output": "1675: Ok(output) => NativeToolResult::success(request_id, output.output),\n2238: Ok(output) => NativeToolResult::success(request_id, output.output),\n2767: Ok(output) => NativeToolResult::success(request_id, output.output),\n", "is_error": false}, {"t": 65200, "event": "thinking", "duration": 800}, {"t": 65400, "event": "stream_text", "text": "Now I need to create a helper function that builds the content blocks from ToolOutput, including images:", "speed": 80}, {"t": 65500, "event": "token_usage", "input": 97, "output": 115, "cache_read": 83091, "cache_creation": 979}, {"t": 65500, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 30, "offset": 1}}, {"t": 65600, "event": "tool_done", "name": "read", "output": " 2\t#![allow(unused_assignments)]\n 3\t\n 4\tuse crate::build;\n 5\tuse crate::bus::{Bus, BusEvent, SubagentStatus, ToolEvent, ToolStatus};\n 6\tuse crate::cache_tracker::CacheTracker;\n 7\tuse crate::compaction::CompactionEvent;\n 8\tuse crate::id;\n 9\tuse crate::logging;\n 10\tuse crate::message::{\n 11\t ContentBlock, Message, Role, StreamEvent, ToolCall, ToolDefinition, TOOL_OUTPUT_MISSING_TEXT,\n 12\t};\n 13\tuse crate::protocol::{HistoryMessage, ServerEvent};\n 14\tuse crat...", "is_error": false}, {"t": 66100, "event": "thinking", "duration": 800}, {"t": 66300, "event": "stream_text", "text": "Now I'll add a helper function and modify the three locations. Let me first add a helper that builds content blocks from a ToolOutput:", "speed": 80}, {"t": 66400, "event": "token_usage", "input": 470, "output": 343, "cache_read": 84070, "cache_creation": 212}, {"t": 66400, "event": "tool_start", "name": "edit", "input": {"file_path": "src/agent.rs", "new_string": "const JCODE_NATIVE_TOOLS: &[&str] = &[\"selfdev\", \"communicate\"];\n\nfn tool_output_to_content_blocks(\n tool_use_id: String,\n output: crate::tool::ToolOutput,\n) -> Vec<ContentBlock> {\n let mut blocks = vec![ContentBlock::ToolResult {\n tool_use_id,\n content: output.output,\n is_error: None,\n }];\n for img in output.images {\n blocks.push(ContentBlock::Image {\n media_type: img.media_type,\n data: img.data,\n });\n }\n blocks\n}\n\n/// A soft interrupt message queued for injection at the next safe point", "old_string": "const JCODE_NATIVE_TOOLS: &[&str] = &[\"selfdev\", \"communicate\"];\n\n/// A soft interrupt message queued for injection at the next safe point"}}, {"t": 66500, "event": "tool_done", "name": "edit", "output": "Edited src/agent.rs: replaced 1 occurrence(s)\n31+ fn tool_output_to_content_blocks(\n32+ tool_use_id: String,\n33+ output: crate::tool::ToolOutput,\n34+ ) -> Vec<ContentBlock> {\n35+ let mut blocks = vec![ContentBlock::ToolResult {\n36+ tool_use_id,\n37+ content: output.output,\n38+ is_error: None,\n39+ }];\n40+ for img in output.images {\n41+ blocks.push(ContentBlock::Image {\n42+ media_type: img.media_type,\n43+ data: img.data,\n44+ });\n45+ }\n46+ blocks\n47+ }\n\nContext after edit (lines 26-52):\n 26\u2502 u...", "is_error": false}, {"t": 67000, "event": "thinking", "duration": 800}, {"t": 67200, "event": "stream_text", "text": "Now replace the three locations where `output.output` is used to build ToolResult. I need to use the helper instead. Let me get the exact context for each:", "speed": 80}, {"t": 67300, "event": "token_usage", "input": 528, "output": 131, "cache_read": 15047, "cache_creation": 70039}, {"t": 67300, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 20, "offset": 1942}}, {"t": 67400, "event": "tool_done", "name": "read", "output": " 1943\t eprintln!(\n 1944\t \"[trace] tool_exec_done name={} id={}\\n{}\",\n 1945\t tc.name, tc.id, output.output\n 1946\t );\n 1947\t }\n 1948\t if print_output {\n 1949\t let preview = if output.output.len() > 200 {\n 1950\t format!(\"{}...\", crate::util::truncate_str(&output.output, 200))\n 19...", "is_error": false}, {"t": 68200, "event": "thinking", "duration": 800}, {"t": 68400, "event": "token_usage", "input": 326, "output": 1028, "cache_read": 85086, "cache_creation": 659}, {"t": 68400, "event": "tool_start", "name": "edit", "input": {"file_path": "src/agent.rs", "new_string": " let blocks = tool_output_to_content_blocks(tc.id, output);\n self.add_message_with_duration(\n Role::User,\n blocks,\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {\n Bus::global().publish(BusEvent::ToolUpdated(ToolEvent {\n session_id: self.session.id.clone(),\n message_id: message_id.clone(),\n tool_call_id: tc.id.clone(),\n tool_name: tc.name.clone(),\n status: ToolStatus::Error,\n title: None,\n }));\n\n let error_msg = format!(\"Error: {}\", e);\n if trace {\n eprintln!(\n \"[trace] tool_exec_error name={} id={} {}\",\n tc.name, tc.id, error_msg\n );\n }\n if print_output {\n println!(\"{}\", error_msg);\n }\n self.add_message_with_duration(\n Role::User,\n vec![ContentBlock::ToolResult {\n tool_use_id: tc.id,\n content: error_msg,\n is_error: Some(true),\n }],\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n }\n }\n\n if print_output {\n println!();\n }\n\n // Check for soft interrupts (e.g. Telegram messages) and inject as user messages\n if let Some(content) = self.inject_soft_interrupts()", "old_string": " self.add_message_with_duration(\n Role::User,\n vec![ContentBlock::ToolResult {\n tool_use_id: tc.id,\n content: output.output,\n is_error: None,\n }],\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {\n Bus::global().publish(BusEvent::ToolUpdated(ToolEvent {\n session_id: self.session.id.clone(),\n message_id: message_id.clone(),\n tool_call_id: tc.id.clone(),\n tool_name: tc.name.clone(),\n status: ToolStatus::Error,\n title: None,\n }));\n\n let error_msg = format!(\"Error: {}\", e);\n if trace {\n eprintln!(\n \"[trace] tool_exec_error name={} id={} {}\",\n tc.name, tc.id, error_msg\n );\n }\n if print_output {\n println!(\"{}\", error_msg);\n }\n self.add_message_with_duration(\n Role::User,\n vec![ContentBlock::ToolResult {\n tool_use_id: tc.id,\n content: error_msg,\n is_error: Some(true),\n }],\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n }\n }\n\n if print_output {\n println!();\n }\n\n // Check for soft interrupts (e.g. Telegram messages) and inject as user messages\n if let Some(content) = self.inject_soft_interrupts()"}}, {"t": 68500, "event": "tool_done", "name": "edit", "output": "Edited src/agent.rs: replaced 1 occurrence(s)\n1957+ let blocks = tool_output_to_content_blocks(tc.id, output);\n1959- vec![ContentBlock::ToolResult {\n1960- tool_use_id: tc.id,\n1961- content: output.output,\n1962- is_error: None,\n1963- }],\n1960+ blocks,\n\nContext after edit (lines 1954-2007):\n1954\u2502 println!(\"{}\", preview.lines().next().unwrap_or(\"(done)\"));\n1955\u2502 }\n1956\u2502 \n1957\u2502 let blocks = tool_output_to_content_...", "is_error": false}, {"t": 69000, "event": "thinking", "duration": 800}, {"t": 69200, "event": "stream_text", "text": "Now the second location (~line 2480 area):", "speed": 80}, {"t": 69300, "event": "token_usage", "input": 827, "output": 112, "cache_read": 85745, "cache_creation": 1354}, {"t": 69300, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && grep -n \"content: output.output\" src/agent.rs", "description": "Find remaining output.output usages"}}, {"t": 69400, "event": "tool_done", "name": "bash", "output": "37: content: output.output,\n2495: content: output.output,\n3057: content: output.output,\n", "is_error": false}, {"t": 69600, "event": "thinking", "duration": 800}, {"t": 69800, "event": "token_usage", "input": 54, "output": 94, "cache_read": 87099, "cache_creation": 939}, {"t": 69800, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 20, "offset": 2482}}, {"t": 69900, "event": "tool_done", "name": "read", "output": " 2483\t Ok(output) => {\n 2484\t let _ = event_tx.send(ServerEvent::ToolDone {\n 2485\t id: tc.id.clone(),\n 2486\t name: tc.name.clone(),\n 2487\t output: output.output.clone(),\n 2488\t error: None,\n 2489\t });\n 2490\t\n 2491\t self.add_message_with_duration(\n 2492\t Role::User,\n 2493\t ...", "is_error": false}, {"t": 70400, "event": "thinking", "duration": 800}, {"t": 70600, "event": "token_usage", "input": 306, "output": 452, "cache_read": 88038, "cache_creation": 148}, {"t": 70600, "event": "tool_start", "name": "edit", "input": {"file_path": "src/agent.rs", "new_string": " Ok(output) => {\n let _ = event_tx.send(ServerEvent::ToolDone {\n id: tc.id.clone(),\n name: tc.name.clone(),\n output: output.output.clone(),\n error: None,\n });\n\n let blocks = tool_output_to_content_blocks(tc.id.clone(), output);\n self.add_message_with_duration(\n Role::User,\n blocks,\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {", "old_string": " Ok(output) => {\n let _ = event_tx.send(ServerEvent::ToolDone {\n id: tc.id.clone(),\n name: tc.name.clone(),\n output: output.output.clone(),\n error: None,\n });\n\n self.add_message_with_duration(\n Role::User,\n vec![ContentBlock::ToolResult {\n tool_use_id: tc.id.clone(),\n content: output.output,\n is_error: None,\n }],\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {"}}, {"t": 70700, "event": "tool_done", "name": "edit", "output": "Edited src/agent.rs: replaced 1 occurrence(s)\n2491+ let blocks = tool_output_to_content_blocks(tc.id.clone(), output);\n2493- vec![ContentBlock::ToolResult {\n2494- tool_use_id: tc.id.clone(),\n2495- content: output.output,\n2496- is_error: None,\n2497- }],\n2494+ blocks,\n\nContext after edit (lines 2480-2502):\n2480\u2502 ));\n2481\u2502 \n2482\u2502 match result {\n2483\u2502 Ok(output) => {\n2484\u2502 let _ = event_tx.send(ServerEvent::Tool...", "is_error": false}, {"t": 71200, "event": "thinking", "duration": 800}, {"t": 71400, "event": "stream_text", "text": "Now the third location:", "speed": 80}, {"t": 71471, "event": "token_usage", "input": 436, "output": 100, "cache_read": 88186, "cache_creation": 758}, {"t": 71471, "event": "tool_start", "name": "read", "input": {"file_path": "src/agent.rs", "limit": 20, "offset": 3043}}, {"t": 71571, "event": "tool_done", "name": "read", "output": " 3044\t id: tc.id.clone(),\n 3045\t name: tc.name.clone(),\n 3046\t output: output.output.clone(),\n 3047\t error: None,\n 3048\t });\n 3049\t\n 3050\t self.add_message_with_duration(\n 3051\t Role::User,\n 3052\t vec![ContentBlock::ToolResult {\n 3053\t ...", "is_error": false}, {"t": 72071, "event": "thinking", "duration": 800}, {"t": 72271, "event": "token_usage", "input": 317, "output": 397, "cache_read": 88944, "cache_creation": 536}, {"t": 72271, "event": "tool_start", "name": "edit", "input": {"file_path": "src/agent.rs", "new_string": " id: tc.id.clone(),\n name: tc.name.clone(),\n output: output.output.clone(),\n error: None,\n });\n\n let blocks = tool_output_to_content_blocks(tc.id.clone(), output);\n self.add_message_with_duration(\n Role::User,\n blocks,\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {", "old_string": " id: tc.id.clone(),\n name: tc.name.clone(),\n output: output.output.clone(),\n error: None,\n });\n\n self.add_message_with_duration(\n Role::User,\n vec![ContentBlock::ToolResult {\n tool_use_id: tc.id.clone(),\n content: output.output,\n is_error: None,\n }],\n Some(tool_elapsed.as_millis() as u64),\n );\n self.session.save()?;\n }\n Err(e) => {"}}, {"t": 72371, "event": "tool_done", "name": "edit", "output": "Edited src/agent.rs: replaced 1 occurrence(s)\n3050+ let blocks = tool_output_to_content_blocks(tc.id.clone(), output);\n3052- vec![ContentBlock::ToolResult {\n3053- tool_use_id: tc.id.clone(),\n3054- content: output.output,\n3055- is_error: None,\n3056- }],\n3053+ blocks,\n\nContext after edit (lines 3041-3061):\n3041\u2502 match result {\n3042\u2502 Ok(output) => {\n3043\u2502 let _ = event_tx.send(ServerEvent::ToolDone {\n3044\u2502 ...", "is_error": false}, {"t": 73171, "event": "thinking", "duration": 800}, {"t": 73371, "event": "stream_text", "text": "### Step 3: Make file_read return base64 image data for vision", "speed": 80}, {"t": 73471, "event": "token_usage", "input": 430, "output": 1507, "cache_read": 89480, "cache_creation": 714}, {"t": 73471, "event": "tool_start", "name": "edit", "input": {"file_path": "src/tool/read.rs", "new_string": "/// Handle reading an image file - display in terminal if supported AND return base64 for model vision\nfn handle_image_file(path: &Path, file_path: &str) -> Result<ToolOutput> {\n let protocol = ImageProtocol::detect();\n\n let data = std::fs::read(path)?;\n let file_size = data.len() as u64;\n\n let dimensions = get_image_dimensions_from_data(&data);\n\n let dim_str = dimensions\n .map(|(w, h)| format!(\"{}x{}\", w, h))\n .unwrap_or_else(|| \"unknown\".to_string());\n\n let size_str = if file_size < 1024 {\n format!(\"{} bytes\", file_size)\n } else if file_size < 1024 * 1024 {\n format!(\"{:.1} KB\", file_size as f64 / 1024.0)\n } else {\n format!(\"{:.1} MB\", file_size as f64 / 1024.0 / 1024.0)\n };\n\n let mut terminal_displayed = false;\n if protocol.is_supported() {\n let params = ImageDisplayParams::from_terminal();\n match display_image(path, ¶ms) {\n Ok(true) => {\n terminal_displayed = true;\n }\n Ok(false) => {}\n Err(e) => {\n crate::logging::info(&format!(\"Warning: Failed to display image: {}\", e));\n }\n }\n }\n\n let ext = path\n .extension()\n .map(|e| e.to_string_lossy().to_lowercase())\n .unwrap_or_default();\n let media_type = match ext.as_str() {\n \"png\" => \"image/png\",\n \"jpg\" | \"jpeg\" => \"image/jpeg\",\n \"gif\" => \"image/gif\",\n \"webp\" => \"image/webp\",\n \"bmp\" => \"image/bmp\",\n \"ico\" => \"image/x-icon\",\n _ => \"image/png\",\n };\n\n const MAX_IMAGE_SIZE: u64 = 20 * 1024 * 1024;\n let mut output = if file_size <= MAX_IMAGE_SIZE {\n let b64 = base64::Engine::encode(&base64::engine::general_purpose::STANDARD, &data);\n let display_note = if terminal_displayed {\n \"Displayed in terminal. \"\n } else {\n \"\"\n };\n ToolOutput::new(format!(\n \"Image: {} ({})\\nDimensions: {}\\n{}Image sent to model for vision analysis.\",\n file_path, size_str, dim_str, display_note\n ))\n .with_labeled_image(media_type, b64, file_path.to_string())\n } else {\n let display_note = if terminal_displayed {\n \"\\nDisplayed in terminal.\"\n } else {\n \"\"\n };\n ToolOutput::new(format!(\n \"Image: {} ({})\\nDimensions: {}\\nImage too large for vision (max 20MB).{}\",\n file_path, size_str, dim_str, display_note\n ))\n };\n\n output = output.with_title(format!(\"\ud83d\udcf7 {}\", file_path));\n Ok(output)", "old_string": "/// Handle reading an image file - display in terminal if supported\nfn handle_image_file(path: &Path, file_path: &str) -> Result<ToolOutput> {\n let protocol = ImageProtocol::detect();\n\n // Get file size for metadata\n let metadata = std::fs::metadata(path)?;\n let file_size = metadata.len();\n\n // Try to get image dimensions\n let dimensions = if let Ok(data) = std::fs::read(path) {\n get_image_dimensions_from_data(&data)\n } else {\n None\n };\n\n let dim_str = dimensions\n .map(|(w, h)| format!(\"{}x{}\", w, h))\n .unwrap_or_else(|| \"unknown\".to_string());\n\n let size_str = if file_size < 1024 {\n format!(\"{} bytes\", file_size)\n } else if file_size < 1024 * 1024 {\n format!(\"{:.1} KB\", file_size as f64 / 1024.0)\n } else {\n format!(\"{:.1} MB\", file_size as f64 / 1024.0 / 1024.0)\n };\n\n // Display image in terminal if supported\n if protocol.is_supported() {\n let params = ImageDisplayParams::from_terminal();\n match display_image(path, ¶ms) {\n Ok(true) => {\n return Ok(ToolOutput::new(format!(\n \"Image: {} ({})\\nDimensions: {}\\nDisplayed in terminal using {:?} protocol\",\n file_path, size_str, dim_str, protocol\n )));\n }\n Ok(false) => {\n // Fall through to text output\n }\n Err(e) => {\n crate::logging::info(&format!(\"Warning: Failed to display image: {}\", e));\n // Fall through to text output\n }\n }\n }\n\n // Fallback: return metadata about the image\n Ok(ToolOutput::new(format!(\n \"Image: {} ({})\\nDimensions: {}\\nTerminal does not support inline images (try Kitty or iTerm2)\",\n file_path, size_str, dim_str\n )))"}}, {"t": 73571, "event": "tool_done", "name": "edit", "output": "Edited src/tool/read.rs: replaced 1 occurrence(s)\n215- /// Handle reading an image file - display in terminal if supported\n215+ /// Handle reading an image file - display in terminal if supported AND return base64 for model vision\n219- // Get file size for metadata\n220- let metadata = std::fs::metadata(path)?;\n221- let file_size = metadata.len();\n219+ let data = std::fs::read(path)?;\n220+ let file_size = data.len() as u64;\n223- // Try to get image dimensions\n224- let dimensions = if let Ok(da...", "is_error": false}, {"t": 74071, "event": "thinking", "duration": 800}, {"t": 74271, "event": "stream_text", "text": "Now add the base64 import to read.rs:", "speed": 80}, {"t": 74371, "event": "token_usage", "input": 2084, "output": 108, "cache_read": 15047, "cache_creation": 77076}, {"t": 74371, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 10, "offset": 0}}, {"t": 74471, "event": "tool_done", "name": "read", "output": " 1\tuse super::{Tool, ToolContext, ToolOutput};\n 2\tuse crate::bus::{Bus, BusEvent, FileOp, FileTouch};\n 3\tuse crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\n 4\tuse anyhow::Result;\n 5\tuse async_trait::async_trait;\n 6\tuse serde::Deserialize;\n 7\tuse serde_json::{json, Value};\n 8\tuse std::path::Path;\n 9\t\n 10\tconst DEFAULT_LIMIT: usize = 2000;\n\n... 388 more lines (use offset=10 to continue)\n", "is_error": false}, {"t": 74971, "event": "thinking", "duration": 800}, {"t": 75171, "event": "token_usage", "input": 187, "output": 318, "cache_read": 92123, "cache_creation": 2192}, {"t": 75171, "event": "tool_start", "name": "edit", "input": {"file_path": "src/tool/read.rs", "new_string": "use super::{Tool, ToolContext, ToolOutput};\nuse base64::Engine as _;\nuse crate::bus::{Bus, BusEvent, FileOp, FileTouch};\nuse crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\nuse anyhow::Result;\nuse async_trait::async_trait;\nuse serde::Deserialize;\nuse serde_json::{json, Value};\nuse std::path::Path;", "old_string": "use super::{Tool, ToolContext, ToolOutput};\nuse crate::bus::{Bus, BusEvent, FileOp, FileTouch};\nuse crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\nuse anyhow::Result;\nuse async_trait::async_trait;\nuse serde::Deserialize;\nuse serde_json::{json, Value};\nuse std::path::Path;"}}, {"t": 75271, "event": "tool_done", "name": "edit", "output": "Edited src/tool/read.rs: replaced 1 occurrence(s)\n2+ use base64::Engine as _;\n\nContext after edit (lines 1-12):\n 1\u2502 use super::{Tool, ToolContext, ToolOutput};\n 2\u2502 use base64::Engine as _;\n 3\u2502 use crate::bus::{Bus, BusEvent, FileOp, FileTouch};\n 4\u2502 use crate::tui::image::{display_image, ImageDisplayParams, ImageProtocol};\n 5\u2502 use anyhow::Result;\n 6\u2502 use async_trait::async_trait;\n 7\u2502 use serde::Deserialize;\n 8\u2502 use serde_json::{json, Value};\n 9\u2502 use std::pat...", "is_error": false}, {"t": 75771, "event": "thinking", "duration": 800}, {"t": 75971, "event": "stream_text", "text": "Now let me do a quick build check to see if the core plumbing compiles:", "speed": 80}, {"t": 76071, "event": "token_usage", "input": 254, "output": 132, "cache_read": 94315, "cache_creation": 505}, {"t": 76071, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | tail -30", "description": "Build to check compilation", "timeout": 180000}}, {"t": 76871, "event": "tool_done", "name": "bash", "output": " |\n = help: maybe it is overwritten before being read?\n\nwarning: value assigned to `has_pinned_area` is never read\n --> src/tui/ui.rs:1845:31\n |\n1845 | let mut has_pinned_area = false;\n | ^^^^^\n |\n = help: maybe it is overwritten before being read?\n\nwarning: value assigned to `reconnect_attempts` is never read\n --> src/tui/client.rs:510:17\n |\n510 | reconnect_attempts = 0;\n | ^^^^^^^^^^^^^^^^^^^^...", "is_error": false}, {"t": 77371, "event": "thinking", "duration": 800}, {"t": 77571, "event": "token_usage", "input": 315, "output": 113, "cache_read": 94820, "cache_creation": 386}, {"t": 77571, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep \"^error\"", "description": "Get specific error", "timeout": 180000}}, {"t": 78371, "event": "tool_done", "name": "bash", "output": "error[E0063]: missing field `images` in initializer of `ToolOutput`\nerror: could not compile `jcode` (lib) due to 1 previous error; 29 warnings emitted\n", "is_error": false}, {"t": 78871, "event": "thinking", "duration": 800}, {"t": 79071, "event": "token_usage", "input": 66, "output": 115, "cache_read": 95206, "cache_creation": 428}, {"t": 79071, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep \"E0063\"", "description": "Get full error context", "timeout": 180000}}, {"t": 79871, "event": "tool_done", "name": "bash", "output": "error[E0063]: missing field `images` in initializer of `ToolOutput`\nFor more information about this error, try `rustc --explain E0063`.\n", "is_error": false}, {"t": 80371, "event": "thinking", "duration": 800}, {"t": 80571, "event": "token_usage", "input": 57, "output": 119, "cache_read": 95634, "cache_creation": 181}, {"t": 80571, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep -B5 \"E0063\"", "description": "Get error with context", "timeout": 180000}}, {"t": 81371, "event": "tool_done", "name": "bash", "output": " --> src/tool/read.rs:2:5\n |\n2 | use base64::Engine as _;\n | ^^^^^^^^^^^^^^^^^^^\n\nerror[E0063]: missing field `images` in initializer of `ToolOutput`\n--\n341 | disconnect_start = None;\n | ^^^^^^^^^^^^^^^^^^^^^^^\n |\n = help: maybe it is overwritten before being read?\n\nFor more information about this error, try `rustc --explain E0063`.\n", "is_error": false}, {"t": 82171, "event": "thinking", "duration": 800}, {"t": 82371, "event": "stream_text", "text": "There's a missing `images` field somewhere. Likely in the harness or test code:", "speed": 80}, {"t": 82471, "event": "token_usage", "input": 134, "output": 141, "cache_read": 15047, "cache_creation": 80945}, {"t": 82471, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep -A3 \"missing field\"", "description": "Find where images field is missing", "timeout": 180000}}, {"t": 83271, "event": "tool_done", "name": "bash", "output": "error[E0063]: missing field `images` in initializer of `ToolOutput`\n --> src/tool/mod.rs:511:9\n |\n511 | ToolOutput {\n", "is_error": false}, {"t": 83771, "event": "thinking", "duration": 800}, {"t": 83971, "event": "token_usage", "input": 65, "output": 95, "cache_read": 95992, "cache_creation": 275}, {"t": 83971, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/mod.rs", "limit": 15, "offset": 505}}, {"t": 84071, "event": "tool_done", "name": "read", "output": " 506\t current_tokens as f32 / 1000.0,\n 507\t budget / 1000,\n 508\t )\n 509\t };\n 510\t\n 511\t ToolOutput {\n 512\t output: truncated,\n 513\t title: output.title,\n 514\t metadata: output.metadata,\n 515\t }\n 516\t }\n 517\t\n 518\t /// Register a tool dynamically (for MCP tools, etc.)\n 519\t pub async fn register(&self, name: String, tool: Arc<dyn Tool>) {\n 520\t let mut tools = self.tool...", "is_error": false}, {"t": 84571, "event": "thinking", "duration": 800}, {"t": 84771, "event": "token_usage", "input": 198, "output": 167, "cache_read": 96267, "cache_creation": 160}, {"t": 84771, "event": "tool_start", "name": "edit", "input": {"file_path": "src/tool/mod.rs", "new_string": " ToolOutput {\n output: truncated,\n title: output.title,\n metadata: output.metadata,\n images: output.images,\n }", "old_string": " ToolOutput {\n output: truncated,\n title: output.title,\n metadata: output.metadata,\n }"}}, {"t": 84871, "event": "tool_done", "name": "edit", "output": "Edited src/tool/mod.rs: replaced 1 occurrence(s)\n515+ images: output.images,\n\nContext after edit (lines 508-519):\n 508\u2502 )\n 509\u2502 };\n 510\u2502 \n 511\u2502 ToolOutput {\n 512\u2502 output: truncated,\n 513\u2502 title: output.title,\n 514\u2502 metadata: output.metadata,\n 515\u2502 images: output.images,\n 516\u2502 }\n 517\u2502 }\n 518\u2502 \n 519\u2502 /// Register a tool dynamically (for MCP tools, etc.)", "is_error": false}, {"t": 85371, "event": "thinking", "duration": 800}, {"t": 85571, "event": "token_usage", "input": 163, "output": 114, "cache_read": 96427, "cache_creation": 365}, {"t": 85571, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep \"^error\"", "description": "Check build after fix", "timeout": 180000}}, {"t": 86371, "event": "tool_done", "name": "bash", "output": "\n\nExit code: 1", "is_error": false}, {"t": 87171, "event": "thinking", "duration": 800}, {"t": 87371, "event": "token_usage", "input": 25, "output": 119, "cache_read": 15047, "cache_creation": 82020}, {"t": 87371, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep -E \"^error|warning.*unused\"", "description": "Check for errors", "timeout": 180000}}, {"t": 88171, "event": "tool_done", "name": "bash", "output": "warning: unused import: `ResourceBudget`\nwarning: unused import: `tract_onnx::prelude::*`\nwarning: unused import: `EdgeKind`\nwarning: unused imports: `MemoryCategory` and `TrustLevel`\nwarning: unused import: `base64::Engine as _`\nwarning: unused import: `StreamExt`\nwarning: unused variable: `is_project`\nwarning: unused variable: `index`\nwarning: unused variable: `finish_reason`\nwarning: unused variable: `swarm_id`\nwarning: unused variable: `coord_id`\nwarning: unused variable: `skills`\nwarning...", "is_error": false}, {"t": 88671, "event": "thinking", "duration": 800}, {"t": 88871, "event": "stream_text", "text": "Build succeeded (just warnings). Let me also fix the unused import warning for base64:", "speed": 80}, {"t": 88971, "event": "token_usage", "input": 289, "output": 114, "cache_read": 15047, "cache_creation": 82104}, {"t": 88971, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 3, "offset": 265}}, {"t": 89071, "event": "tool_done", "name": "read", "output": " 266\t let mut output = if file_size <= MAX_IMAGE_SIZE {\n 267\t let b64 = base64::Engine::encode(&base64::engine::general_purpose::STANDARD, &data);\n 268\t let display_note = if terminal_displayed {\n\n... 131 more lines (use offset=268 to continue)\n", "is_error": false}, {"t": 89871, "event": "user_message", "text": "keep going "}, {"t": 90671, "event": "thinking", "duration": 800}, {"t": 90871, "event": "stream_text", "text": "\n\nLet me check the build status and continue with the remaining tasks:", "speed": 80}, {"t": 90971, "event": "token_usage", "input": 116, "output": 128, "cache_read": 9739, "cache_creation": 91113}, {"t": 90971, "event": "tool_start", "name": "bash", "input": {"command": "cd /home/jeremy/jcode && cargo build --release 2>&1 | grep \"error\"", "description": "Verify build passes", "timeout": 180000}}, {"t": 91771, "event": "tool_done", "name": "bash", "output": "warning: function `has_render_error` is never used\n1171 | fn has_render_error(hash: u64) -> bool {\nwarning: function `record_render_error` is never used\n1178 | fn record_render_error(hash: u64, message: String) {\nwarning: function `clear_render_error` is never used\n1184 | fn clear_render_error(hash: u64) {\nwarning: function `error_lines_for` is never used\n1190 | pub fn error_lines_for(hash: u64) -> Option<Vec<Line<'static>>> {\n421 | pub fn add_error(&mut self, error: &str) {\n", "is_error": false}, {"t": 92571, "event": "thinking", "duration": 800}, {"t": 92771, "event": "stream_text", "text": "Build passes. Now let me continue with the remaining tasks. Let me update the todo and tackle them:", "speed": 80}, {"t": 92871, "event": "token_usage", "input": 183, "output": 493, "cache_read": 100852, "cache_creation": 245}, {"t": 92871, "event": "tool_start", "name": "todowrite", "input": {"todos": [{"content": "Add images field to ToolOutput so model can see images via vision", "id": "1", "priority": "high", "status": "completed"}, {"content": "Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation", "id": "2", "priority": "high", "status": "completed"}, {"content": "file_read: return base64 image data in ToolOutput.images for vision", "id": "2b", "priority": "high", "status": "completed"}, {"content": "Rename diagram side panel to pinned content panel + support arbitrary images", "id": "3", "priority": "high", "status": "in_progress"}, {"content": "Display file_read images in the pinned content panel", "id": "4", "priority": "high", "status": "pending"}, {"content": "Ctrl+1/2/3/4/5 to switch pinned panel entries", "id": "4b", "priority": "high", "status": "pending"}, {"content": "Ctrl+B for background tool (in addition to Alt+B)", "id": "4c", "priority": "high", "status": "pending"}, {"content": "Add DOCX support to file_read (docx-lite crate)", "id": "5", "priority": "medium", "status": "pending"}, {"content": "Add XLSX support to file_read (calamine crate)", "id": "6", "priority": "medium", "status": "pending"}, {"content": "Add archive listing (.zip, .tar.gz) to file_read", "id": "7", "priority": "medium", "status": "pending"}, {"content": "Add audio/video metadata to file_read (ffprobe)", "id": "8", "priority": "low", "status": "pending"}, {"content": "Add EPUB text extraction to file_read", "id": "9", "priority": "low", "status": "pending"}, {"content": "Add SVG rendering to file_read", "id": "10", "priority": "low", "status": "pending"}, {"content": "Build, test, commit", "id": "11", "priority": "high", "status": "pending"}]}}, {"t": 92971, "event": "tool_done", "name": "todowrite", "output": "[\n {\n \"content\": \"Add images field to ToolOutput so model can see images via vision\",\n \"status\": \"completed\",\n \"priority\": \"high\",\n \"id\": \"1\"\n },\n {\n \"content\": \"Wire ToolOutput.images through agent \u2192 ContentBlock::Image in conversation\",\n \"status\": \"completed\",\n \"priority\": \"high\",\n \"id\": \"2\"\n },\n {\n \"content\": \"file_read: return base64 image data in ToolOutput.images for vision\",\n \"status\": \"completed\",\n \"priority\": \"high\",\n \"id\": \"2b\"\n },\n {\n ...", "is_error": false}, {"t": 93771, "event": "thinking", "duration": 800}, {"t": 93971, "event": "stream_text", "text": "Now let me tackle the pinned content panel rename and the new file format support. Let me first add the deps to Cargo.toml, then do the file format handlers, then the UI changes.\n\n### Add dependencies for DOCX, XLSX, zip listing, EPUB", "speed": 80}, {"t": 94171, "event": "token_usage", "input": 728, "output": 317, "cache_read": 101097, "cache_creation": 787}, {"t": 94171, "event": "tool_start", "name": "edit", "input": {"file_path": "Cargo.toml", "new_string": "# PDF parsing (behind feature flag - 56 crates)\npdf-extract = { version = \"0.8\", optional = true }\n\n# Document format support (behind feature flags)\ndocx-lite = { version = \"0.2\", optional = true }\ncalamine = { version = \"0.26\", optional = true }\nzip = { version = \"2\", default-features = false, features = [\"deflate\"], optional = true }\nepub = { version = \"2\", optional = true }\n\n# Archive extraction (for auto-update)", "old_string": "# PDF parsing (behind feature flag - 56 crates)\npdf-extract = { version = \"0.8\", optional = true }\n\n# Archive extraction (for auto-update)"}}, {"t": 94271, "event": "tool_done", "name": "edit", "output": "Edited Cargo.toml: replaced 1 occurrence(s)\n98+ # Document format support (behind feature flags)\n99+ docx-lite = { version = \"0.2\", optional = true }\n100+ calamine = { version = \"0.26\", optional = true }\n101+ zip = { version = \"2\", default-features = false, features = [\"deflate\"], optional = true }\n102+ epub = { version = \"2\", optional = true }\n\nContext after edit (lines 92-107):\n 92\u2502 native-tls = \"0.2\"\n 93\u2502 mail-parser = \"0.9\"\n 94\u2502 \n 95\u2502 # PDF parsing (behind feature flag - 56 cr...", "is_error": false}, {"t": 95071, "event": "thinking", "duration": 800}, {"t": 95271, "event": "stream_text", "text": "Now update the features section:", "speed": 80}, {"t": 95371, "event": "token_usage", "input": 370, "output": 238, "cache_read": 18299, "cache_creation": 84638}, {"t": 95371, "event": "tool_start", "name": "edit", "input": {"file_path": "Cargo.toml", "new_string": "[features]\ndefault = [\"embeddings\", \"pdf\", \"documents\"]\njemalloc = [\"tikv-jemallocator\"]\nembeddings = [\"tract-onnx\", \"tract-hir\", \"tokenizers\"]\npdf = [\"pdf-extract\"]\ndocuments = [\"docx-lite\", \"calamine\", \"zip\", \"epub\"]", "old_string": "[features]\ndefault = [\"embeddings\", \"pdf\"]\njemalloc = [\"tikv-jemallocator\"]\nembeddings = [\"tract-onnx\", \"tract-hir\", \"tokenizers\"]\npdf = [\"pdf-extract\"]"}}, {"t": 95471, "event": "tool_done", "name": "edit", "output": "Edited Cargo.toml: replaced 1 occurrence(s)\n112- default = [\"embeddings\", \"pdf\"]\n112+ default = [\"embeddings\", \"pdf\", \"documents\"]\n115- pdf = [\"pdf-extract\"]\n115+ pdf = [\"pdf-extract\"]\n116+ documents = [\"docx-lite\", \"calamine\", \"zip\", \"epub\"]\n\nContext after edit (lines 108-119):\n 108\u2502 # Mermaid diagram rendering (stable v0.2.0 tag)\n 109\u2502 mermaid-rs-renderer = { git = \"ssh://git@github.com/1jehuang/mermaid-rs-renderer.git\", tag = \"v0.2.0\" }\n 110\u2502 \n 111\u2502 [features]\n 112\u2502 default = [\"e...", "is_error": false}, {"t": 95971, "event": "thinking", "duration": 800}, {"t": 96171, "event": "stream_text", "text": "Now let me add all the file format handlers to read.rs. Let me first see the full current state:", "speed": 80}, {"t": 96271, "event": "token_usage", "input": 324, "output": 115, "cache_read": 102937, "cache_creation": 608}, {"t": 96271, "event": "tool_start", "name": "read", "input": null}, {"t": 96371, "event": "tool_done", "name": "read", "output": "Error: invalid type: null, expected struct ReadInput", "is_error": true}, {"t": 96871, "event": "thinking", "duration": 800}, {"t": 97071, "event": "token_usage", "input": 37, "output": 95, "cache_read": 103545, "cache_creation": 384}, {"t": 97071, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 100, "offset": 60}}, {"t": 97171, "event": "tool_done", "name": "read", "output": " 61\t })\n 62\t }\n 63\t\n 64\t async fn execute(&self, input: Value, ctx: ToolContext) -> Result<ToolOutput> {\n 65\t let params: ReadInput = serde_json::from_value(input)?;\n 66\t\n 67\t let path = ctx.resolve_path(Path::new(¶ms.file_path));\n 68\t\n 69\t // Check if file exists\n 70\t if !path.exists() {\n 71\t // Try to find similar files\n 72\t let suggestions = find_similar_files(&path);\n 73\t if suggestions...", "is_error": false}, {"t": 97971, "event": "thinking", "duration": 800}, {"t": 98171, "event": "stream_text", "text": "Now I need to add detection functions and handlers for DOCX, XLSX, archives, EPUB, and audio/video. Let me insert the checks in the execute method and add the handlers. I'll also update the description and binary detection:", "speed": 80}, {"t": 98371, "event": "token_usage", "input": 1330, "output": 640, "cache_read": 103929, "cache_creation": 132}, {"t": 98371, "event": "tool_start", "name": "edit", "input": {"file_path": "src/tool/read.rs", "new_string": " // Check for image files and display in terminal if supported\n if is_image_file(&path) {\n return handle_image_file(&path, ¶ms.file_path);\n }\n\n // Check for PDF files and extract text\n if is_pdf_file(&path) {\n return handle_pdf_file(&path, ¶ms.file_path);\n }\n\n // Check for DOCX files and extract text\n #[cfg(feature = \"documents\")]\n if is_docx_file(&path) {\n return handle_docx_file(&path, ¶ms.file_path);\n }\n\n // Check for spreadsheet files (xlsx, xls, ods, csv)\n #[cfg(feature = \"documents\")]\n if is_spreadsheet_file(&path) {\n return handle_spreadsheet_file(&path, ¶ms.file_path);\n }\n\n // Check for archive files and list contents\n #[cfg(feature = \"documents\")]\n if is_archive_file(&path) {\n return handle_archive_file(&path, ¶ms.file_path);\n }\n\n // Check for EPUB files and extract text\n #[cfg(feature = \"documents\")]\n if is_epub_file(&path) {\n return handle_epub_file(&path, ¶ms.file_path);\n }\n\n // Check for audio/video files and show metadata\n if is_media_file(&path) {\n return handle_media_file(&path, ¶ms.file_path);\n }\n\n // Check for binary files\n if is_binary_file(&path) {", "old_string": " // Check for image files and display in terminal if supported\n if is_image_file(&path) {\n return handle_image_file(&path, ¶ms.file_path);\n }\n\n // Check for PDF files and extract text\n if is_pdf_file(&path) {\n return handle_pdf_file(&path, ¶ms.file_path);\n }\n\n // Check for binary files\n if is_binary_file(&path) {"}}, {"t": 98471, "event": "tool_done", "name": "edit", "output": "Edited src/tool/read.rs: replaced 1 occurrence(s)\n94+ // Check for DOCX files and extract text\n95+ #[cfg(feature = \"documents\")]\n96+ if is_docx_file(&path) {\n97+ return handle_docx_file(&path, ¶ms.file_path);\n98+ }\n100+ // Check for spreadsheet files (xlsx, xls, ods, csv)\n101+ #[cfg(feature = \"documents\")]\n102+ if is_spreadsheet_file(&path) {\n103+ return handle_spreadsheet_file(&path, ¶ms.file_path);\n104+ }\n106+ // Check for archive files and list contents\n107+ #[cfg(feature = \"docume...", "is_error": false}, {"t": 98971, "event": "thinking", "duration": 800}, {"t": 99171, "event": "stream_text", "text": "Now add all the handler functions at the end of the file. Let me see where the file ends:", "speed": 80}, {"t": 99271, "event": "token_usage", "input": 945, "output": 117, "cache_read": 18299, "cache_creation": 87742}, {"t": 99271, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 30, "offset": 380}}, {"t": 99371, "event": "tool_done", "name": "read", "output": " 381\t\n 382\t let size_str = if file_size < 1024 {\n 383\t format!(\"{} bytes\", file_size)\n 384\t } else if file_size < 1024 * 1024 {\n 385\t format!(\"{:.1} KB\", file_size as f64 / 1024.0)\n 386\t } else {\n 387\t format!(\"{:.1} MB\", file_size as f64 / 1024.0 / 1024.0)\n 388\t };\n 389\t\n 390\t // Extract text from PDF\n 391\t match pdf_extract::extract_text(path) {\n 392\t Ok(text) => {\n 393\t let mut output = String::new();\n 394\t o...", "is_error": false}, {"t": 99871, "event": "thinking", "duration": 800}, {"t": 100071, "event": "token_usage", "input": 539, "output": 95, "cache_read": 106041, "cache_creation": 1062}, {"t": 100071, "event": "tool_start", "name": "read", "input": {"file_path": "src/tool/read.rs", "limit": 30, "offset": 410}}, {"t": 100171, "event": "tool_done", "name": "read", "output": " 411\t } else {\n 412\t output.push_str(page_text);\n 413\t }\n 414\t output.push_str(\"\\n\\n\");\n 415\t }\n 416\t }\n 417\t\n 418\t Ok(ToolOutput::new(output))\n 419\t }\n 420\t Err(e) => {\n 421\t // Fall back to metadata only if text extraction fails\n 422\t Ok(ToolOutput::new(format!(\n 423\t \"PDF: {} ({})\\nCould not extract text: {}\\nTh...", "is_error": false}, {"t": 100171, "event": "done"}] |