| # Session Changelog | |
| ## [2026-01-22] [Enhancement] [COMPLETED] UI Instructions - User-Focused Quick Start Guide | |
| **Problem:** Default template instructions were developer-focused ("clone this space, modify code") and not helpful for end users. | |
| **Solution:** Rewrote instructions to be concise and user-oriented: | |
| **Before:** | |
| - Generic numbered steps | |
| - Talked about cloning/modifying code (irrelevant for end users) | |
| - Long rambling disclaimer about sub-optimal setup | |
| **After:** | |
| - **Quick Start** section with bolded key actions | |
| - **What happens** section explaining the workflow | |
| - **Expectations** section managing user expectations about time and downloads | |
| - Explicitly mentions JSON + HTML export formats | |
| **Modified Files:** | |
| - `app.py` (lines 910-927) | |
| --- | |
| ## [2026-01-22] [Refactor] [COMPLETED] Export Architecture - Canonical Data Model | |
| **Problem:** HTML export called JSON export internally, wrote JSON to disk, read it back, then wrote HTML. This was: | |
| - Inefficient (redundant disk I/O) | |
| - Tightly coupled (HTML depended on JSON format) | |
| - Error-prone (data structure mismatch) | |
| **Solution:** Refactored to use canonical data model: | |
| 1. **`_build_export_data()`** - Single source of truth, builds canonical data structure | |
| 2. **`export_results_to_json()`** - Calls canonical builder, writes JSON | |
| 3. **`export_results_to_html()`** - Calls canonical builder, writes HTML | |
| **Benefits:** | |
| - No redundant processing (no disk I/O between exports) | |
| - Loose coupling (exports are independent) | |
| - Consistent data (both use identical source) | |
| - Easier to extend (add CSV, PDF exports easily) | |
| **Modified Files:** | |
| - `app.py` (~200 lines refactored) | |
| --- | |
| ## [2026-01-21] [Bugfix] [COMPLETED] DataFrame Scroll Bug - Replaced with HTML Export | |
| **Problem:** Gradio 6.2.0 DataFrame has critical scrolling bugs (virtualized scrolling from Gradio 3.43+): | |
| - Spring-back to top when scrolling | |
| - Random scroll positions | |
| - Locked scrolling after window resize | |
| **Attempted Solutions (all failed):** | |
| - `max_height` parameter | |
| - `row_count` parameter | |
| - `interactive=False` | |
| - Custom CSS overrides | |
| - Downgrade to Gradio 3.x (numpy conflict) | |
| **Solution:** Removed DataFrame entirely, replaced with: | |
| 1. **JSON Export** - Full data download | |
| 2. **HTML Export** - Interactive table with scrollable cells | |
| **UI Changes:** | |
| - Removed: `gr.DataFrame` component | |
| - Added: `gr.File` components for JSON and HTML downloads | |
| - Updated: All return statements in `run_and_submit_all()` | |
| **Modified Files:** | |
| - `app.py` (~50 lines modified) | |
| --- | |
| ## [2026-01-21] [Debug] [FAILED] Gradio DataFrame Scroll Bug - Multiple Attempted Fixes | |
| **Problem:** Gradio 6.2.0 DataFrame has critical scrolling bugs due to virtualized scrolling introduced in Gradio 3.43+: | |
| - Spring-back to top when scrolling | |
| - Random scroll positions on click | |
| - Locked scrolling after window resize | |
| **Attempted Solutions (all failed):** | |
| 1. **`max_height` parameter** - No effect, virtualized scrolling still active | |
| 2. **`row_count` parameter** - No effect, display issues persisted | |
| 3. **`interactive=False`** - No effect, scrolling still broken | |
| 4. **Custom CSS overrides** - Attempted to override virtualized styles, no effect | |
| 5. **Downgrade to Gradio 3.x** - Failed due to numpy 1.x vs 2.x dependency conflict | |
| **Root Cause Identified:** | |
| - Virtualized scrolling in Gradio 3.43+ fundamentally breaks DataFrame display | |
| - No workarounds available in Gradio 6.2.0 | |
| - Downgrade blocked by dependency constraints | |
| **Resolution:** Abandoned DataFrame UI, replaced with export buttons (see next entry) | |
| **Status:** FAILED - UI bug unfixable, switched to alternative solution | |
| **Modified Files:** | |
| - `app.py` (multiple attempted fixes, all reverted) | |
| --- | |
| ## [2026-01-21] [Documentation] [COMPLETED] ACHIEVEMENT.md - Project Success Report | |
| **Problem:** Need professional marketing/stakeholder report showcasing GAIA agent engineering journey and achievements. | |
| **Solution:** Created comprehensive achievement report focusing on strategic engineering decisions and architectural choices. | |
| **Report Structure:** | |
| 1. **Executive Summary** - Design-first approach (10 days planning + 4 days implementation), key achievements | |
| 2. **Strategic Engineering Decisions** - 7 major decisions documented: | |
| - Decision 1: Design-First Approach (8-Level Framework) | |
| - Decision 2: Tech Stack Selection (LangGraph, Gradio, model selection criteria) | |
| - Decision 3: Free-Tier-First Cost Architecture (4-tier LLM fallback) | |
| - Decision 4: UI-Driven Runtime Configuration | |
| - Decision 5: Unified Fallback Pattern Architecture | |
| - Decision 6: Evidence-Based State Design | |
| - Decision 7: Dynamic Planning via LLM | |
| 3. **Implementation Journey** - 6 stages with architectural decisions per stage | |
| 4. **Performance Progression Timeline** - 10% → 25% → 30% accuracy progression | |
| 5. **Production Readiness Highlights** - Deployment, cost optimization, resilience engineering | |
| 6. **Quantifiable Impact Summary** - Metrics table with 10 key achievements | |
| 7. **Key Learnings & Takeaways** - 6 strategic insights | |
| 8. **Conclusion** - Final stats and repository link | |
| **Tech Stack Details Added:** | |
| - **LLM Chain:** Gemini 2.0 Flash Exp → GPT-OSS 120B (HF) → GPT-OSS 120B (Groq) → Claude Sonnet 4.5 | |
| - **Vision:** Gemma-3-27B (HF) → Gemini 2.0 Flash → Claude Sonnet 4.5 | |
| - **Search:** Tavily → Exa | |
| - **Audio:** Whisper Small with ZeroGPU | |
| - **Frameworks:** LangGraph (not LangChain), Gradio (not Streamlit), uv (not pip/poetry) | |
| **Focus:** Strategic WHY (engineering decisions) over technical WHAT (bug fixes), emphasizing architectural thinking and product design. | |
| **Modified Files:** | |
| - **ACHIEVEMENT.md** (401 lines created) - Complete marketing report with executive summary, strategic decisions, implementation journey, metrics | |
| **Result:** Professional achievement report ready for employers, recruiters, investors, and blog/social media sharing. | |
| --- | |
| ## [2026-01-14] [Enhancement] [COMPLETED] Unified Log Format - Markdown Standard | |
| **Problem:** Inconsistent log formats across different components, wasteful `====` separators. | |
| **Solution:** Standardize all logs to Markdown format with clean structure. | |
| **Unified Log Standard:** | |
| ```markdown | |
| # Title | |
| **Key:** value | |
| **Key:** value | |
| ## Section | |
| Content | |
| ``` | |
| **Files Updated:** | |
| 1. **LLM Session Logs** (`llm_session_*.md`): | |
| - Header: `# LLM Synthesis Session Log` | |
| - Questions: `## Question [timestamp]` | |
| - Sections: `### Evidence & Prompt`, `### LLM Response` | |
| - Code blocks: triple backticks | |
| 2. **YouTube Transcript Logs** (`{video_id}_transcript.md`): | |
| - Header: `# YouTube Transcript` | |
| - Metadata: `**Video ID:**`, `**Source:**`, `**Length:**` | |
| - Content: `## Transcript` | |
| **Note:** No horizontal rules (`---`) - already banned in global CLAUDE.md, breaks collapsible sections | |
| **Token Savings:** | |
| | Style | Tokens per separator | 20 questions | | |
| | ----------------- | -------------------- | ------------ | | |
| | `====` x 80 chars | ~40 tokens | ~800 tokens | | |
| | `##` heading | ~2 tokens | ~40 tokens | | |
| **Savings:** ~760 tokens per session (95% reduction) | |
| **Benefits:** | |
| - ✅ Collapsible headings in all Markdown editors | |
| - ✅ Consistent structure across all log files | |
| - ✅ Token-efficient for LLM processing | |
| - ✅ Readable in both rendered and plain text | |
| - ✅ `.md` extension for proper syntax highlighting | |
| **Modified Files:** | |
| - `src/agent/llm_client.py` (LLM session logs) | |
| - `src/tools/youtube.py` (transcript logs) | |
| - `CLAUDE.md` (added unified log format standard) | |
| ## [2026-01-14] [Cleanup] [COMPLETED] Session Log Optimization - Reduce Static Content Redundancy | |
| **Problem:** System prompt (~30 lines) was written for every question (20x = 600 lines of redundant text). | |
| **Solution:** Write system prompt once on first question, skip for subsequent questions. | |
| **Implementation:** | |
| - Added `_SYSTEM_PROMPT_WRITTEN` flag to track if system prompt was logged | |
| - First question includes full SYSTEM PROMPT section | |
| - Subsequent questions only show dynamic content (question, evidence, response) | |
| **Log format comparison:** | |
| Before (every question): | |
| ``` | |
| QUESTION START | |
| SYSTEM PROMPT: [30 lines repeated] | |
| USER PROMPT: [dynamic] | |
| LLM RESPONSE: [dynamic] | |
| ``` | |
| After (first question): | |
| ``` | |
| SYSTEM PROMPT (static - used for all questions): [30 lines] | |
| QUESTION [...] | |
| EVIDENCE & PROMPT: [dynamic] | |
| LLM RESPONSE: [dynamic] | |
| ``` | |
| After (subsequent questions): | |
| ``` | |
| QUESTION [...] | |
| EVIDENCE & PROMPT: [dynamic] | |
| LLM RESPONSE: [dynamic] | |
| ``` | |
| **Result:** ~570 lines less redundancy per 20-question evaluation. | |
| **Modified Files:** | |
| - `src/agent/llm_client.py` (~30 lines modified - added flag, conditional logging) | |
| ## [2026-01-14] [Bugfix] [COMPLETED] Session Log Synchronization - Atomic Per-Question Logging | |
| **Problem:** When processing multiple questions, LLM responses were written out of order relative to their questions, causing mismatched prompts/responses in session logs. | |
| **Root Cause:** `synthesize_answer_hf()` wrote QUESTION START immediately, but appended LLM RESPONSE later after API call completed. With concurrent processing, responses finished in different order. | |
| **Solution:** Buffer complete question block in memory, write atomically when response arrives: | |
| ```python | |
| # Before (broken): | |
| write_question_start() # immediate | |
| api_response = call_llm() | |
| write_llm_response() # later, out of order | |
| # After (fixed): | |
| question_header = buffer_question_start() | |
| api_response = call_llm() | |
| complete_block = question_header + response + end | |
| write_atomic(complete_block) # all at once | |
| ``` | |
| **Result:** Each question block is self-contained, no mismatched prompts/responses. | |
| **Modified Files:** | |
| - `src/agent/llm_client.py` (~40 lines modified - synthesize_answer_hf function) | |
| ## [2026-01-13] [Cleanup] [COMPLETED] LLM Session Log Format - Removed Duplicate Evidence | |
| **Problem:** Evidence appeared twice in session log - once in USER PROMPT section, again in EVIDENCE ITEMS section. | |
| **Solution:** Removed standalone EVIDENCE ITEMS section, kept evidence in USER PROMPT only. | |
| **Rationale:** USER PROMPT shows what's actually sent to the LLM (system + user messages together). | |
| **Modified Files:** | |
| - `src/agent/llm_client.py` - Removed duplicate logging section (lines 1189-1194 deleted) | |
| **Result:** Cleaner logs, no duplication | |
| ## [2026-01-13] [Feature] [COMPLETED] YouTube Frame Processing Mode - Visual Video Analysis | |
| **Problem:** Transcript mode captures audio but misses visual information (objects, scenes, actions). | |
| **Solution:** Implemented frame extraction and vision-based video analysis mode. | |
| **Implementation:** | |
| **1. Frame Extraction (`src/tools/youtube.py`):** | |
| - `download_video()` - Downloads video using yt-dlp | |
| - `extract_frames()` - Extracts N frames at regular intervals using OpenCV | |
| - `analyze_frames()` - Analyzes frames with vision models | |
| - `process_video_frames()` - Complete frame processing pipeline | |
| - `youtube_analyze()` - Unified API with mode parameter | |
| **2. CONFIG Settings:** | |
| - `FRAME_COUNT = 6` - Number of frames to extract | |
| - `FRAME_QUALITY = "worst"` - Download quality (faster) | |
| **3. UI Integration (`app.py`):** | |
| - Added radio button: "YouTube Processing Mode" | |
| - Choices: "Transcript" (default) or "Frames" | |
| - Sets `YOUTUBE_MODE` environment variable | |
| **4. Updated Dependencies:** | |
| - `requirements.txt` - Added `opencv-python>=4.8.0` | |
| - `pyproject.toml` - Added via `uv add opencv-python` | |
| **5. Tool Description Update (`src/tools/__init__.py`):** | |
| - Updated `youtube_transcript` description to mention both modes | |
| **Architecture:** | |
| ``` | |
| youtube_transcript() → reads YOUTUBE_MODE env | |
| ├─ "transcript" → audio/subtitle extraction | |
| └─ "frames" → video download → extract 6 frames → vision analysis | |
| ``` | |
| **Test Result:** | |
| - Successfully processed video with 6 frames analyzed | |
| - Each frame analyzed with vision model, combined output returned | |
| - Frame timestamps: 0s, 20s, 40s, 60s, 80s, 100s (spread evenly) | |
| **Known Limitation:** | |
| - Frame sampling is random (regular intervals) | |
| - Low probability of capturing transient events (~5.5% for 108s video) | |
| - Future: Hybrid mode using timestamps to guide frame extraction (documented in `user_io/knowledge/hybrid_video_audio_analysis.md`) | |
| **Status:** Implemented and tested, ready for use | |
| **Modified Files:** | |
| - `src/tools/youtube.py` (~200 lines added - frame extraction + analysis) | |
| - `app.py` (~5 lines modified - UI toggle) | |
| - `requirements.txt` (1 line added - opencv-python) | |
| - `src/tools/__init__.py` (1 line modified - tool description) | |
| ## [2026-01-13] [Investigation] [OPEN] HF Spaces vs Local Performance Discrepancy | |
| **Problem:** HF Space deployment shows significantly lower scores (5%) than local execution (20-30%). | |
| **Investigation:** | |
| | Environment | Score | System Errors | NoneType Errors | | |
| | ---------------- | ------ | ------------- | --------------- | | |
| | **Local** | 20-30% | 3 (15%) | 1 | | |
| | **HF ZeroGPU** | 5% | 5 (25%) | 3 | | |
| | **HF CPU Basic** | 5% | 5 (25%) | 3 | | |
| **Verified:** Code is 100% identical (cloned HF Space repo, git history matches at commit `3dcf523`). | |
| **Issue:** HF Spaces infrastructure causes LLM to return empty/None responses during synthesis. | |
| **Known Limitations (Local 30% Run):** | |
| - 3 system errors: reverse text (calculator), chess vision (NoneType), Python .py execution | |
| - 10 "Unable to answer": search evidence extraction issues | |
| - 1 wrong answer: Wikipedia dinosaur (Jimfbleak vs FunkMonk) | |
| **Resolution:** Competition accepts local results. HF Spaces deployment not required. | |
| **Status:** OPEN - Infrastructure Issue, Won't Fix (use local execution) | |
| ## [2026-01-13] [Infrastructure] [COMPLETED] 3-Tier Folder Naming Convention | |
| **Problem:** Previous rename used `_` prefix for both runtime folders AND user-only folders, creating ambiguity. | |
| **Solution:** Implemented 3-tier naming convention to clearly distinguish folder purposes. | |
| **3-Tier Convention:** | |
| 1. **User-only** (`user_*` prefix) - Manual use, not app runtime: | |
| - `user_input/` - User testing files, not app input | |
| - `user_output/` - User downloads, not app output | |
| - `user_dev/` - Dev records (manual documentation) | |
| - `user_archive/` - Archived code/reference materials | |
| 2. **Runtime/Internal** (`_` prefix) - App creates, temporary: | |
| - `_cache/` - Runtime cache, served via app download | |
| - `_log/` - Runtime logs, debugging | |
| 3. **Application** (no prefix) - Permanent code: | |
| - `src/`, `test/`, `docs/`, `ref/` - Application folders | |
| **Folders Renamed:** | |
| - `_input/` → `user_input/` (user testing files) | |
| - `_output/` → `user_output/` (user downloads) | |
| - `dev/` → `user_dev/` (dev records) | |
| - `archive/` → `user_archive/` (archived materials) | |
| **Folders Unchanged (correct tier):** | |
| - `_cache/`, `_log/` - Runtime ✓ | |
| - `src/`, `test/`, `docs/`, `ref/` - Application ✓ | |
| **Updated Files:** | |
| - **test/test_phase0_hf_vision_api.py** - `Path("_output")` → `Path("user_output")` | |
| - **.gitignore** - Updated folder references and comments | |
| **Git Status:** | |
| - Old folders removed from git tracking | |
| - New folders excluded by .gitignore | |
| - Existing files become untracked | |
| **Result:** Clear 3-tier structure: user*\*, *\*, and no prefix | |
| ## [2026-01-13] [Infrastructure] [COMPLETED] Runtime Folder Naming Convention - Underscore Prefix | |
| **Problem:** Folders `log/`, `output/`, and `input/` didn't clearly indicate they were runtime-only storage, making it unclear which folders are internal vs permanent. | |
| **Solution:** Renamed all runtime-only folders to use `_` prefix, following Python convention for internal/private. | |
| **Folders Renamed:** | |
| - `log/` → `_log/` (runtime logs, debugging) | |
| - `output/` → `_output/` (runtime results, user downloads) | |
| - `input/` → `_input/` (user testing files, not app input) | |
| **Rationale:** | |
| - `_` prefix signals "internal, temporary, not part of public API" | |
| - Consistent with Python convention (`_private`, `__dunder__`) | |
| - Distinguishes runtime storage from permanent project folders | |
| **Updated Files:** | |
| - `src/agent/llm_client.py` - `Path("log")` → `Path("_log")` | |
| - `src/tools/youtube.py` - `Path("log")` → `Path("_log")` | |
| - `test/test_phase0_hf_vision_api.py` - `Path("output")` → `Path("_output")` | |
| - `.gitignore` - Updated folder references | |
| **Result:** Runtime folders now clearly marked with `_` prefix | |
| ## [2026-01-13] [Documentation] [COMPLETED] Log Consolidation - Session-Level Logging | |
| **Problem:** Each question created separate log file (`llm_context_TIMESTAMP.txt`), polluting the log/ folder with 20+ files per evaluation. | |
| **Solution:** Implemented session-level log file where all questions append to single file. | |
| **Implementation:** | |
| - Added `get_session_log_file()` function in `src/agent/llm_client.py` | |
| - Creates `log/llm_session_YYYYMMDD_HHMMSS.txt` on first use | |
| - All questions append to same file with question delimiters | |
| - Added `reset_session_log()` for testing/new runs | |
| **Updated File:** | |
| - `src/agent/llm_client.py` (~40 lines added) | |
| - Session log management (lines 62-99) | |
| - Updated `synthesize_answer_hf` to append to session log | |
| **Result:** One log file per evaluation instead of 20+ | |
| ## [2026-01-13] [Infrastructure] [COMPLETED] Project Template Reference Move | |
| **Problem:** Project template moved to new location, documentation references outdated. | |
| **Solution:** Updated CHANGELOG.md references to new template location. | |
| **Changes:** | |
| - Moved: `project_template_original/` → `ref/project_template_original/` | |
| - Updated CHANGELOG.md (7 occurrences) | |
| - Added `ref/` to .gitignore (static copies, not in git) | |
| **Result:** Documentation reflects new template location | |
| ## [2026-01-12] [Infrastructure] [COMPLETED] Git Ignore Fixes - PDF Commit Block | |
| **Problem:** Git push rejected due to binary files in `docs/` folder. | |
| **Solution:** | |
| 1. Reset commit: `git reset --soft HEAD~1` | |
| 2. Added `docs/*.pdf` to .gitignore | |
| 3. Removed PDF files from git: `git rm --cached "docs/*.pdf"` | |
| 4. Recommitted without PDFs | |
| 5. Push successful | |
| **User feedback:** "can just gitignore all the docs also" | |
| **Final Fix:** Changed `docs/*.pdf` to `docs/` to ignore entire docs folder | |
| **Updated Files:** | |
| - `.gitignore` - Added `docs/` folder ignore | |
| **Result:** Clean git history, no binary files committed | |
| ## [2026-01-13] [Documentation] [COMPLETED] 30% Results Analysis - Phase 1 Success | |
| **Problem:** Need to analyze results to understand what's working and what needs improvement. | |
| **Analysis of gaia_results_20260113_174815.json (30% score):** | |
| **Results Breakdown:** | |
| - **6 Correct** (30%): | |
| - `a1e91b78` (YouTube bird count) - Phase 1 fix working ✓ | |
| - `9d191bce` (YouTube Teal'c) - Phase 1 fix working ✓ | |
| - `6f37996b` (CSV table) - Calculator working ✓ | |
| - `1f975693` (Calculus MP3) - Audio transcription working ✓ | |
| - `99c9cc74` (Strawberry pie MP3) - Audio transcription working ✓ | |
| - `7bd855d8` (Excel food sales) - File parsing working ✓ | |
| - **3 System Errors** (15%): | |
| - `2d83110e` (Reverse text) - Calculator: SyntaxError | |
| - `cca530fc` (Chess position) - NoneType error (vision) | |
| - `f918266a` (Python code) - parse_file: ValueError | |
| - **10 "Unable to answer"** (50%): | |
| - Search evidence extraction insufficient | |
| - Need better LLM prompts or search processing | |
| - **1 Wrong Answer** (5%): | |
| - `4fc2f1ae` (Wikipedia dinosaur) - Found "Jimfbleak" instead of "FunkMonk" | |
| **Phase 1 Impact (YouTube + Audio):** | |
| - Fixed 4 questions that would have failed before | |
| - YouTube transcription with Whisper fallback working | |
| - Audio transcription working well | |
| **Next Steps:** | |
| 1. Fix 3 system errors (text manipulation, vision NoneType, Python execution) | |
| 2. Improve search evidence extraction (10 questions) | |
| 3. Investigate wrong answer (Wikipedia search precision) | |
| ## [2026-01-13] [Feature] [COMPLETED] Phase 1: YouTube + Audio Transcription Support | |
| **Problem:** Questions with YouTube videos and audio files couldn't be answered. | |
| **Solution:** Implemented two-phase transcription system. | |
| **YouTube Transcription (`src/tools/youtube.py`):** | |
| - Extracts transcript using `youtube_transcript_api` | |
| - Falls back to Whisper audio transcription if captions unavailable | |
| - Saves transcript to `_log/{video_id}_transcript.txt` | |
| **Audio Transcription (`src/tools/audio.py`):** | |
| - Uses Groq's Whisper-large-v3 model (ZeroGPU compatible) | |
| - Supports MP3, WAV, M4A, OGG, FLAC, AAC formats | |
| - Saves transcript to `_log/` for debugging | |
| **Impact:** | |
| - 4 additional questions answered correctly (30% vs ~10% before) | |
| - `9d191bce` (YouTube Teal'c) - "Extremely" ✓ | |
| - `a1e91b78` (YouTube birds) - "3" ✓ | |
| - `1f975693` (Calculus MP3) - "132, 133, 134, 197, 245" ✓ | |
| - `99c9cc74` (Strawberry pie MP3) - Full ingredient list ✓ | |
| **Status:** Phase 1 complete, hit 30% target score | |
| ## [2026-01-12] [Infrastructure] [COMPLETED] Session Log Implementation | |
| **Problem:** Need to track LLM synthesis context for debugging and analysis. | |
| **Solution:** Created session-level logging system in `src/agent/llm_client.py`. | |
| **Implementation:** | |
| - Session log: `_log/llm_session_YYYYMMDD_HHMMSS.txt` | |
| - Per-question log: `_log/{video_id}_transcript.txt` (YouTube only) | |
| - Captures: questions, evidence items, LLM prompts, answers | |
| - Structured format with timestamps and delimiters | |
| **Result:** Full audit trail for debugging failed questions | |
| ## [2026-01-13] [Infrastructure] [COMPLETED] Git Commit & HF Push | |
| **Problem:** Need to deploy changes to HuggingFace Spaces. | |
| **Solution:** Committed and pushed latest changes. | |
| **Commit:** `3dcf523` - "refactor: update folder structure and adjust output paths" | |
| **Changes Deployed:** | |
| - 3-tier folder naming convention | |
| - Session-level logging | |
| - Project template reference move | |
| - Git ignore fixes | |
| **Result:** HF Space updated with latest code | |
| ## [2026-01-13] [Testing] [COMPLETED] Phase 0 Vision API Validation | |
| **Problem:** Need to validate vision API works before integrating into agent. | |
| **Solution:** Created test suite `test/test_phase0_hf_vision_api.py`. | |
| **Test Results:** | |
| - Tested 4 image sources | |
| - Validated multimodal LLM responses | |
| - Confirmed HF Inference API compatibility | |
| - Identified NoneType edge case (empty responses) | |
| **File:** `user_io/result_ServerApp/phase0_vision_validation_*.json` | |
| **Result:** Vision API validated, ready for integration | |
| ## [2026-01-11] [Feature] [COMPLETED] Multi-Modal Vision Support | |
| **Problem:** Agent couldn't process image-based questions (chess positions, charts, etc.). | |
| **Solution:** Implemented vision tool using HuggingFace Inference API. | |
| **Implementation (`src/tools/vision.py`):** | |
| - `analyze_image()` - Main vision analysis function | |
| - Supports JPEG, PNG, GIF, BMP, WebP formats | |
| - Returns detailed descriptions of visual content | |
| - Fallback to Gemini/Claude if HF fails | |
| **Status:** Implemented, some NoneType errors remain | |
| ## [2026-01-10] [Feature] [COMPLETED] File Parser Tool | |
| **Problem:** Agent couldn't read uploaded files (PDF, Excel, Word, CSV, etc.). | |
| **Solution:** Implemented unified file parser (`src/tools/file_parser.py`). | |
| **Supported Formats:** | |
| - PDF (`parse_pdf`) - PyPDF2 extraction | |
| - Excel (`parse_excel`) - Calamine-based parsing | |
| - Word (`parse_word`) - python-docx extraction | |
| - Text/CSV (`parse_text`) - UTF-8 text reading | |
| - Unified `parse_file()` - Auto-detects format | |
| **Result:** Agent can now read file attachments | |
| ## [2026-01-09] [Feature] [COMPLETED] Calculator Tool | |
| **Problem:** Agent couldn't perform mathematical calculations. | |
| **Solution:** Implemented safe expression evaluator (`src/tools/calculator.py`). | |
| **Features:** | |
| - `safe_eval()` - Safe math expression evaluation | |
| - Supports: arithmetic, algebra, trigonometry, logarithms | |
| - Constants: pi, e | |
| - Functions: sqrt, sin, cos, log, abs, etc. | |
| - Error handling for invalid expressions | |
| **Result:** CSV table question answered correctly (`6f37996b`) | |
| ## [2026-01-08] [Feature] [COMPLETED] Web Search Tool | |
| **Problem:** Agent couldn't access current information beyond training data. | |
| **Solution:** Implemented web search using Tavily API (`src/tools/web_search.py`). | |
| **Features:** | |
| - `tavily_search()` - Primary search via Tavily | |
| - `exa_search()` - Fallback via Exa (if available) | |
| - Unified `search()` - Auto-fallback chain | |
| - Returns structured results with titles, snippets, URLs | |
| **Configuration:** | |
| - `TAVILY_API_KEY` required | |
| - `EXA_API_KEY` optional (fallback) | |
| **Result:** Agent can now search web for current information | |
| ## [2026-01-07] [Infrastructure] [COMPLETED] Project Initialization | |
| **Problem:** New project setup required. | |
| **Solution:** Initialized project structure with standard files. | |
| **Created:** | |
| - `README.md` - Project documentation | |
| - `CLAUDE.md` - Project-specific AI instructions | |
| - `CHANGELOG.md` - Session tracking | |
| - `.gitignore` - Git exclusions | |
| - `requirements.txt` - Dependencies | |
| - `pyproject.toml` - UV package config | |
| **Result:** Project scaffold ready for development | |
| **Date:** YYYY-MM-DD | |
| **Dev Record:** [link to dev/dev_YYMMDD_##_concise_title.md] | |
| ## What Was Changed | |
| - Change 1 | |
| - Change 2 | |