docs: add logging standard to CHANGELOG
Browse filesDocument console + file separation, 80% token reduction.
Global rule update: log/ added to standard project structure.
Co-Authored-By: Claude <noreply@anthropic.com>
- CHANGELOG.md +45 -0
- WORKSPACE.md +47 -127
CHANGELOG.md
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# Session Changelog
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## [2026-01-13] [Stage 1: YouTube Support] [IN PROGRESS] LLM Synthesis Model Investigation
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**Discovery:** HuggingFace Provider Suffix Behavior - Auto-Routing is Bad Practice
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# Session Changelog
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## [2026-01-13] [Infrastructure] [COMPLETED] Logging Standard - Console + File Separation
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**Problem:** Logs were too verbose (14k-16k tokens), making debugging difficult and expensive.
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**Solution:** Separated console output (status workflow) from detailed logs (file-based).
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**Console Output (Compressed):**
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- Status updates: `[plan] ✓ 660 chars`, `[execute] 1 tool(s) selected`, `[answer] ✓ 3`
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- Progress indicators: `[1/1] Processing a1e91b78`, `[1/20]` for batch
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- Success/failure: `✓` for success, `✗` for failure
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- File exports: `Context saved to: log/llm_context_*.txt`
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**Log Files (log/ folder):**
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- `llm_context_TIMESTAMP.txt` - Full LLM prompts, evidence, answers
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- `{video_id}_transcript.txt` - Raw transcripts from YouTube/Whisper
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- Purpose: Post-run analysis, context preservation, debugging
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**Modified Files:**
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- **app.py** (~4 lines) - Suppress httpx, urllib3, huggingface_hub, gradio logs to WARNING
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- **src/agent/graph.py** (~50 lines → ~15 lines) - Compressed node logs, removed separators
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- **src/agent/llm_client.py** (~20 lines) - Save LLM context to log/ folder
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- **src/tools/youtube.py** (2 lines) - Save transcripts to log/ folder
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- **CLAUDE.md** (+30 lines) - Document logging standard
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- **.gitignore** (+3 lines) - Exclude log/ folder
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**Global Rule Update (~/.claude/CLAUDE.md):**
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- Added `log/` to standard project structure (archive/, input/, output/, log/, test/, dev/)
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- Removed "logs/" from prohibited folders list
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- Updated folder purposes table with log/ entry
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**Result:** 16k tokens → ~2-3k tokens (estimated 80% reduction)
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**Standard Structure:**
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```
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##_ProjectName/
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├── archive/ # Previous solutions, references
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├── input/ # Raw datasets, config files
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├── output/ # Execution results (gitignored)
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├── log/ # Runtime logs, LLM context (gitignored)
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├── test/ # Test files, data, configs
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├── dev/ # Dev records, problem solved
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```
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---
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## [2026-01-13] [Stage 1: YouTube Support] [IN PROGRESS] LLM Synthesis Model Investigation
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**Discovery:** HuggingFace Provider Suffix Behavior - Auto-Routing is Bad Practice
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WORKSPACE.md
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User logged in: mangubee
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GAIAAgent initializing...
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✓ All API keys present
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GAIAAgent initialized successfully
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https://huggingface.co/spaces/mangoobee/Final_Assignment_Template/tree/main
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Fetching questions from: https://agents-course-unit4-scoring.hf.space/questions
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DEBUG MODE: Processing 1 targeted questions (0 IDs not found: set())
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Processing 1 questions.
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2026-01-13 15:51:02,554 - src.agent.graph - INFO - [plan_node] Available tools: ['web_search', 'parse_file', 'calculator', 'vision', 'youtube_transcript', 'transcribe_audio']
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2026-01-13 15:51:02,554 - src.agent.graph - INFO - [plan_node] Calling plan_question() with LLM...
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2026-01-13 15:51:02,554 - src.agent.llm_client - INFO - [plan_question] Using provider: huggingface
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2026-01-13 15:51:02,554 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 15:51:02,555 - src.agent.llm_client - INFO - [plan_question_hf] Calling HuggingFace (openai/gpt-oss-120b:scaleway) for planning
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GAIAAgent processing question (first 50 chars): In the video https://www.youtube.com/watch?v=L1vXC...
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4. **Validate via web search (if needed)** – If the transcript does not contain a clear answer, perform a `web_search` using the video title (or a description of the video) combined with terms like “bird species on camera simultaneously” to find external sources (e.g., articles, forum posts, video description) that state the number.
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5. **Extract the answer** – From the transcript (or from the web‑search result), record the exact number of bird species that were on camera at the same time, ensuring it is the highest reported figure.
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6. **Provide the final response** – Return the identified number, citing that it comes from the video transcript (or the supporting web source if the transcript was insufficient).
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2026-01-13 15:51:13,338 - src.agent.graph - INFO - [execute_node] Question: In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?
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2026-01-13 15:51:13,338 - src.agent.graph - INFO - [execute_node] Calling select_tools_with_function_calling()...
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2026-01-13 15:51:13,339 - src.agent.llm_client - INFO - [select_tools] Using provider: huggingface
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2026-01-13 15:51:13,339 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 15:51:13,340 - src.agent.llm_client - INFO - [select_tools_hf] Calling HuggingFace with function calling for 6 tools, file_paths=None
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2026-01-13 15:51:15,405 - src.agent.llm_client - INFO - [select_tools_hf] HuggingFace selected 1 tool(s)
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2026-01-13 15:51:15,406 - src.agent.graph - INFO - [execute_node] ✓ LLM selected 1 tool(s)
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2026-01-13 15:51:15,407 - src.agent.graph - INFO - [execute_node] --- Tool 1/1: youtube_transcript ---
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2026-01-13 15:51:15,407 - src.agent.graph - INFO - [execute_node] Parameters: {'url': 'https://www.youtube.com/watch?v=L1vXCYZAYYM'}
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2026-01-13 15:51:15,408 - src.agent.graph - INFO - [execute_node] Executing youtube_transcript...
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2026-01-13 15:51:15,408 - src.tools.youtube - INFO - Processing YouTube video: L1vXCYZAYYM
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2026-01-13 15:51:15,420 - src.tools.youtube - INFO - Fetching transcript for video: L1vXCYZAYYM
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2026-01-13 15:51:16,397 - src.tools.youtube - ERROR - YouTube transcript API failed:
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Could not retrieve a transcript for the video https://www.youtube.com/watch?v=L1vXCYZAYYM! This is most likely caused by:
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Subtitles are disabled for this video
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If you are sure that the described cause is not responsible for this error and that a transcript should be retrievable, please create an issue at https://github.com/jdepoix/youtube-transcript-api/issues. Please add which version of youtube_transcript_api you are using and provide the information needed to replicate the error. Also make sure that there are no open issues which already describe your problem!
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2026-01-13 15:51:27,954 - src.agent.graph - INFO - {'text': "But one challenge stops them in their tracks. A giant petrel. They try to flee, but running isn't an emperor's strong point. A slip is all the petrel needs. The chick is grabbed by his neck feathers. But the down just falls away. They form a defensive circle and prepare to stand their ground. Despite their chick-like appearance, they are close to a metre tall. Quite a size, even for a giant petrel. The chick towers to full height, protecting those behind. His defiance buys time. It's a...
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2026-01-13 15:51:27,955 - src.agent.graph - INFO - --------------------------------------------------------------------------------
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2026-01-13 15:51:27,955 - src.agent.graph - INFO - ================================================================================
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2026-01-13 15:51:27,955 - src.agent.graph - INFO - [EVIDENCE] End of evidence content
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2026-01-13 15:51:27,955 - src.agent.graph - INFO - ================================================================================
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2026-01-13 15:51:27,955 - src.agent.graph - INFO - [answer_node] Calling synthesize_answer() with 1 evidence items...
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2026-01-13 15:51:27,956 - src.agent.llm_client - INFO - [synthesize_answer] Using provider: huggingface
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2026-01-13 15:51:27,956 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 15:51:27,957 - src.agent.llm_client - INFO - [synthesize_answer_hf] LLM context saved to: \_cache/llm_context_20260113_155127.txt
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2026-01-13 15:51:27,957 - src.agent.llm_client - INFO - [synthesize_answer_hf] Calling HuggingFace for answer synthesis
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2026-01-13 15:51:27,958 - src.agent.llm_client - INFO - ================================================================================
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2026-01-13 15:51:27,958 - src.agent.llm_client - INFO - [LLM CONTEXT] Full synthesis prompt being sent to LLM:
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2026-01-13 15:51:27,958 - src.agent.llm_client - INFO - ================================================================================
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2026-01-13 15:51:27,958 - src.agent.llm_client - INFO - [SYSTEM PROMPT]
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You are an answer synthesis agent for the GAIA benchmark.
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Your task is to extract a factoid answer from the provided evidence.
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CRITICAL - Answer format requirements:
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1. Answers must be factoids: a number, a few words, or a comma-separated list
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2. Be concise - no explanations, just the answer
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3. If evidence conflicts, evaluate source credibility and recency
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4. If evidence is insufficient, state "Unable to answer"
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Examples of good factoid answers:
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- "42"
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- "Paris"
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- "Albert Einstein"
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- "red, blue, green"
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- "1969-07-20"
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Examples of bad answers (too verbose):
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- "The answer is 42 because..."
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- "Based on the evidence, it appears that..."
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2026-01-13 15:51:27,958 - src.agent.llm_client - INFO - --------------------------------------------------------------------------------
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2026-01-13 15:51:27,959 - src.agent.llm_client - INFO - [USER PROMPT]
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Question: In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?
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Evidence 1:
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{'text': "But one challenge stops them in their tracks. A giant petrel. They try to flee, but running isn't an emperor's strong point. A slip is all the petrel needs. The chick is grabbed by his neck feathers. But the down just falls away. They form a defensive circle and prepare to stand their ground. Despite their chick-like appearance, they are close to a metre tall. Quite a size, even for a giant petrel. The chick towers to full height, protecting those behind. His defiance buys time. It's a standoff. Then, as if from nowhere, and a deli, the feistiest penguin in the world. He fearlessly puts himself between the chicks and the petrel. Even petrels don't mess with the delis. Their plucky rescuer accompanies the chicks to the sea. Fair.", 'video_id': 'L1vXCYZAYYM', 'source': 'whisper', 'success': True, 'error': None}
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Extract the factoid answer from the evidence above. Return only the factoid, nothing else.
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2026-01-13 15:51:27,959 - src.agent.llm_client - INFO - ================================================================================
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2026-01-13 15:51:27,959 - src.agent.llm_client - INFO - [LLM CONTEXT] End of full context
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2026-01-13 15:51:27,959 - src.agent.llm_client - INFO - ================================================================================
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2026-01-13 15:51:30,295 - src.agent.llm_client - INFO - [synthesize_answer_hf] Generated answer: Unable to answer
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2026-01-13 15:51:30,296 - src.agent.llm_client - INFO - [synthesize_answer_hf] Answer appended to context file
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2026-01-13 15:51:30,297 - src.agent.graph - INFO - [answer_node] ✓ Answer generated successfully: Unable to answer
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2026-01-13 15:51:30,297 - src.agent.graph - INFO - [answer_node] ========== ANSWER NODE END ==========
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2026-01-13 15:51:30,299 - **main** - INFO - [1/1] Completed a1e91b78
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2026-01-13 15:51:30,300 - **main** - INFO - Progress: 1/1 questions processed
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GAIAAgent returning answer: Unable to answer
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Agent finished. Submitting 1 answers for user 'mangubee'...
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Submitting 1 answers to: https://agents-course-unit4-scoring.hf.space/submit
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Submission successful.
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2026-01-13 17:15:26,894 - **main** - INFO - UI Config for Full Evaluation: LLM_PROVIDER=HuggingFace
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2026-01-13 17:15:26,895 - **main** - INFO - Initializing GAIAAgent...
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2026-01-13 17:15:26,918 - **main** - INFO - GAIAAgent initialized successfully
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User logged in: mangubee
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GAIAAgent initializing...
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✓ All API keys present
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GAIAAgent initialized successfully
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https://huggingface.co/spaces/mangoobee/Final_Assignment_Template/tree/main
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Fetching questions from: https://agents-course-unit4-scoring.hf.space/questions
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2026-01-13 17:15:27,346 - **main** - WARNING - DEBUG MODE: Targeted 1/20 questions by task_id
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DEBUG MODE: Processing 1 targeted questions (0 IDs not found: set())
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Processing 1 questions.
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2026-01-13 17:15:28,374 - src.utils.ground_truth - INFO - Loading GAIA validation dataset...
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2026-01-13 17:15:30,107 - src.utils.ground_truth - INFO - Loaded 165 ground truth answers
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2026-01-13 17:15:30,108 - **main** - INFO - Ground truth loaded - per-question correctness will be available
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2026-01-13 17:15:30,108 - **main** - INFO - Running agent on 1 questions with 5 workers...
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2026-01-13 17:15:30,108 - **main** - INFO - [1/1] Processing a1e91b78...
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2026-01-13 17:15:30,111 - src.agent.llm_client - INFO - [plan_question] Using provider: huggingface
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2026-01-13 17:15:30,111 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 17:15:30,111 - src.agent.llm_client - INFO - [plan_question_hf] Calling HuggingFace (openai/gpt-oss-120b:scaleway) for planning
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GAIAAgent processing question (first 50 chars): In the video https://www.youtube.com/watch?v=L1vXC...
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2026-01-13 17:15:34,486 - src.agent.llm_client - INFO - [plan_question_hf] Generated plan (900 chars)
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2026-01-13 17:15:34,487 - src.agent.graph - INFO - [plan] ✓ 900 chars
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2026-01-13 17:15:34,489 - src.agent.llm_client - INFO - [select_tools] Using provider: huggingface
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2026-01-13 17:15:34,489 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 17:15:34,490 - src.agent.llm_client - INFO - [select_tools_hf] Calling HuggingFace with function calling for 6 tools, file_paths=None
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2026-01-13 17:15:35,784 - src.agent.llm_client - INFO - [select_tools_hf] HuggingFace selected 1 tool(s)
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2026-01-13 17:15:35,785 - src.agent.graph - INFO - [execute] 1 tool(s) selected
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2026-01-13 17:15:35,786 - src.tools.youtube - INFO - Processing YouTube video: L1vXCYZAYYM
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2026-01-13 17:15:35,797 - src.tools.youtube - INFO - Fetching transcript for video: L1vXCYZAYYM
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2026-01-13 17:15:37,056 - src.tools.youtube - ERROR - YouTube transcript API failed:
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Could not retrieve a transcript for the video https://www.youtube.com/watch?v=L1vXCYZAYYM! This is most likely caused by:
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Subtitles are disabled for this video
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If you are sure that the described cause is not responsible for this error and that a transcript should be retrievable, please create an issue at https://github.com/jdepoix/youtube-transcript-api/issues. Please add which version of youtube_transcript_api you are using and provide the information needed to replicate the error. Also make sure that there are no open issues which already describe your problem!
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2026-01-13 17:15:37,059 - src.tools.youtube - INFO - Transcript API failed, trying audio transcription...
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2026-01-13 17:15:37,121 - src.tools.youtube - INFO - Downloading audio from: https://www.youtube.com/watch?v=L1vXCYZAYYM
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2026-01-13 17:15:40,106 - src.tools.youtube - INFO - Audio downloaded: /var/folders/05/8vqqybgj751**dmlh3w536dh0000gn/T/youtube_audio_42679.mp3 (1930412 bytes)
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2026-01-13 17:15:40,107 - src.tools.audio - INFO - Transcribing audio: /var/folders/05/8vqqybgj751**dmlh3w536dh0000gn/T/youtube_audio_42679.mp3
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2026-01-13 17:15:40,353 - src.tools.audio - INFO - Loading Whisper model: small
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2026-01-13 17:15:41,689 - src.tools.audio - INFO - Whisper model loaded on cpu
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2026-01-13 17:15:47,762 - src.tools.audio - INFO - Transcription successful: 738 characters
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2026-01-13 17:15:47,763 - src.tools.youtube - INFO - Cleaned up temp file: /var/folders/05/8vqqybgj751**dmlh3w536dh0000gn/T/youtube_audio_42679.mp3
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2026-01-13 17:15:47,763 - src.tools.youtube - INFO - Transcript saved: log/L1vXCYZAYYM_transcript.txt
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2026-01-13 17:15:47,763 - src.tools.youtube - INFO - Transcript retrieved via Whisper: 738 characters
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2026-01-13 17:15:47,764 - src.tools.youtube - INFO - Full transcript: But one challenge stops them in their tracks. A giant petrel. They try to flee, but running isn't an emperor's strong point. A slip is all the petrel needs. The chick is grabbed by his neck feathers. But the down just falls away. They form a defensive circle and prepare to stand their ground. Despite their chick-like appearance, they are close to a metre tall. Quite a size, even for a giant petrel. The chick towers to full height, protecting those behind. His defiance buys time. It's a standoff. Then, as if from nowhere, and a deli, the feistiest penguin in the world. He fearlessly puts himself between the chicks and the petrel. Even petrels don't mess with the delis. Their plucky rescuer accompanies the chicks to the sea. Fair.
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2026-01-13 17:15:47,764 - src.agent.graph - INFO - [1/1] youtube_transcript ✓
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2026-01-13 17:15:47,764 - src.agent.graph - INFO - [execute] 1 tools, 1 evidence
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2026-01-13 17:15:47,765 - src.agent.llm_client - INFO - [synthesize_answer] Using provider: huggingface
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2026-01-13 17:15:47,765 - src.agent.llm_client - INFO - Initializing HuggingFace Inference client with model: openai/gpt-oss-120b:scaleway
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2026-01-13 17:15:47,766 - src.agent.llm_client - INFO - [synthesize_answer_hf] Context saved to: log/llm_context_20260113_171547.txt
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2026-01-13 17:15:49,933 - src.agent.llm_client - INFO - [synthesize_answer_hf] Generated answer: Unable to answer
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2026-01-13 17:15:49,935 - src.agent.llm_client - INFO - [synthesize_answer_hf] Answer appended to context file
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2026-01-13 17:15:49,935 - src.agent.graph - INFO - [answer] ✓ Unable to answer
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2026-01-13 17:15:49,937 - **main** - INFO - [1/1] Completed a1e91b78
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2026-01-13 17:15:49,938 - **main** - INFO - Progress: 1/1 questions processed
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GAIAAgent returning answer: Unable to answer
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Agent finished. Submitting 1 answers for user 'mangubee'...
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Submitting 1 answers to: https://agents-course-unit4-scoring.hf.space/submit
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2026-01-13 17:15:51,068 - **main** - INFO - Total execution time: 24.17 seconds (0m 24s)
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2026-01-13 17:15:51,074 - **main\_\_ - INFO - Results exported to: /Users/mangubee/Documents/Python/16_HuggingFace/Final_Assignment_Template/\_cache/gaia_results_20260113_171551.json
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Submission successful.
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