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| # Agent system for GAIA benchmark | |
| # Architecture | |
| ```python | |
| gaia_system = create_gaia_system() | |
| gaia_system.visualize_system() | |
| ``` | |
| ``` | |
| CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| ├── ✅ Authorized imports: [] | |
| ├── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ final_answer │ Provides a final answer to the given problem. │ answer (`any`): The final answer to the │ | |
| │ │ │ │ problem │ | |
| │ └──────────────┴───────────────────────────────────────────────┴──────────────────────────────────────────────┘ | |
| └── 🤖 Managed agents: | |
| ├── search_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| │ ├── ✅ Authorized imports: [] | |
| │ ├── 📝 Description: Retrieves factual information and background data from various sources including | |
| │ │ Wikipedia, web search, and academic papers | |
| │ └── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ wikipedia_search │ Search Wikipedia for information on │ query (`string`): The search term or │ | |
| │ │ │ a specific topic. │ topic │ | |
| │ │ │ │ language (`string`): Wikipedia │ | |
| │ │ │ │ language code (default: "en") │ | |
| │ │ │ │ sentences (`integer`): Number of │ | |
| │ │ │ │ sentences to return from summary │ | |
| │ │ │ │ (default: 3) │ | |
| │ │ web_search_duckduckgo │ Search the web using DuckDuckGo │ query (`string`): Search query │ | |
| │ │ │ search engine. │ string │ | |
| │ │ │ │ max_results (`integer`): Maximum │ | |
| │ │ │ │ number of results to return │ | |
| │ │ │ │ (default: 5) │ | |
| │ │ fetch_webpage_content │ Fetch and extract text content from │ url (`string`): The URL to fetch │ | |
| │ │ │ a webpage. │ max_length (`integer`): Maximum │ | |
| │ │ │ │ length of content to return │ | |
| │ │ │ │ (default: 3000) │ | |
| │ │ arxiv_search │ Search arXiv papers. │ query (`string`): Search query or │ | |
| │ │ │ │ paper ID (e.g., "1605.08386") │ | |
| │ │ wikipedia_search_tool │ Search Wikipedia using LangChain's │ query (`string`): Search query │ | |
| │ │ │ WikipediaQueryRun. │ │ | |
| │ │ duckduckgo_search │ Search using DuckDuckGo. │ query (`string`): Search query │ | |
| │ │ final_answer │ Provides a final answer to the given │ answer (`any`): The final answer to │ | |
| │ │ │ problem. │ the problem │ | |
| │ └───────────────────────┴──────────────────────────────────────┴──────────────────────────────────────┘ | |
| ├── document_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| │ ├── ✅ Authorized imports: [] | |
| │ ├── 📝 Description: Loads and processes structured and unstructured documents including CSV, Excel, text | |
| │ │ files, and audio transcriptions | |
| │ └── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ load_csv_file │ Load and analyze a CSV file. │ filepath (`string`): Path to the CSV │ | |
| │ │ │ │ file │ | |
| │ │ │ │ max_rows (`integer`): Maximum number │ | |
| │ │ │ │ of rows to display (default: 100) │ | |
| │ │ │ │ max_columns (`integer`): Maximum │ | |
| │ │ │ │ number of columns to display │ | |
| │ │ │ │ (default: 20) │ | |
| │ │ │ │ get_all_rows (`boolean`): If True, │ | |
| │ │ │ │ return all rows regardless of │ | |
| │ │ │ │ max_rows (default: False) │ | |
| │ │ load_excel_file │ Load and analyze an Excel file. │ filepath (`string`): Path to the │ | |
| │ │ │ │ Excel file │ | |
| │ │ │ │ sheet_name (`string`): Specific │ | |
| │ │ │ │ sheet to load (default: None for │ | |
| │ │ │ │ first sheet) │ | |
| │ │ │ │ max_rows (`integer`): Maximum number │ | |
| │ │ │ │ of rows to display (default: 100) │ | |
| │ │ │ │ max_columns (`integer`): Maximum │ | |
| │ │ │ │ number of columns to display │ | |
| │ │ │ │ (default: 20) │ | |
| │ │ │ │ get_all_rows (`boolean`): If True, │ | |
| │ │ │ │ return all rows regardless of │ | |
| │ │ │ │ max_rows (default: False) │ | |
| │ │ read_text_file │ Read content from a text file. │ filepath (`string`): Path to the │ | |
| │ │ │ │ text file │ | |
| │ │ │ │ max_length (`integer`): Maximum │ | |
| │ │ │ │ length of content to return │ | |
| │ │ │ │ (default: 2000) │ | |
| │ │ │ │ encoding (`string`): File encoding │ | |
| │ │ │ │ (default: "utf-8") │ | |
| │ │ transcribe_audio_file │ Transcribe audio file to text using │ filepath (`string`): Path to the │ | |
| │ │ │ Whisper. │ audio file │ | |
| │ │ │ │ model_size (`string`): Whisper model │ | |
| │ │ │ │ size ("tiny", "base", "small", │ | |
| │ │ │ │ "medium", "large") │ | |
| │ │ final_answer │ Provides a final answer to the given │ answer (`any`): The final answer to │ | |
| │ │ │ problem. │ the problem │ | |
| │ └───────────────────────┴──────────────────────────────────────┴──────────────────────────────────────┘ | |
| ├── vision_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| │ ├── ✅ Authorized imports: [] | |
| │ ├── 📝 Description: Extracts text and meaning from images using OCR, captioning, and visual question | |
| │ │ answering | |
| │ └── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ ocr_tool │ Extract text from images using OCR. │ image_path (`string`): Path to image │ | |
| │ │ │ │ file │ | |
| │ │ image_captioning_tool │ Generate basic image information │ image_path (`string`): Path to image │ | |
| │ │ │ (placeholder for actual captioning). │ file │ | |
| │ │ visual_qa_tool │ Answer questions about images │ image_path (`string`): Path to image │ | |
| │ │ │ (placeholder for actual VQA). │ file │ | |
| │ │ │ │ question (`string`): Question about │ | |
| │ │ │ │ the image │ | |
| │ │ final_answer │ Provides a final answer to the given │ answer (`any`): The final answer to │ | |
| │ │ │ problem. │ the problem │ | |
| │ └───────────────────────┴──────────────────────────────────────┴──────────────────────────────────────┘ | |
| ├── reasoning_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| │ ├── ✅ Authorized imports: [] | |
| │ ├── 📝 Description: Performs symbolic reasoning, logical pattern recognition, and analytical tasks | |
| │ └── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ analyze_chess_position │ Analyze a chess position given in │ fen_notation (`string`): Chess │ | |
| │ │ │ FEN notation. │ position in FEN (Forsyth-Edwards │ | |
| │ │ │ │ Notation) │ | |
| │ │ analyze_table_commutativity │ Analyze a mathematical operation │ table_data (`string`): String │ | |
| │ │ │ table for commutativity. │ representation of the operation │ | |
| │ │ │ │ table │ | |
| │ │ count_items_in_list │ Count items in a delimited list. │ items_text (`string`): Text │ | |
| │ │ │ │ containing delimited items │ | |
| │ │ │ │ separator (`string`): Delimiter │ | |
| │ │ │ │ to split on (default: ",") │ | |
| │ │ final_answer │ Provides a final answer to the │ answer (`any`): The final answer │ | |
| │ │ │ given problem. │ to the problem │ | |
| │ └─────────────────────────────┴───────────────────────────────────┴───────────────────────────────────┘ | |
| ├── language_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| │ ├── ✅ Authorized imports: [] | |
| │ ├── 📝 Description: Handles low-level text transformations and string manipulations | |
| │ └── 🛠️ Tools: | |
| │ ┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| │ ┃ Name ┃ Description ┃ Arguments ┃ | |
| │ ┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ │ reverse_string │ Reverse a string character by │ text (`string`): The string to │ | |
| │ │ │ character. │ reverse │ | |
| │ │ reverse_words_in_string │ Reverse the order of words in a │ text (`string`): The string with │ | |
| │ │ │ string. │ words to reverse │ | |
| │ │ final_answer │ Provides a final answer to the │ answer (`any`): The final answer to │ | |
| │ │ │ given problem. │ the problem │ | |
| │ └─────────────────────────┴─────────────────────────────────────┴─────────────────────────────────────┘ | |
| └── coding_agent | CodeAgent | Qwen/Qwen2.5-Coder-32B-Instruct | |
| ├── ✅ Authorized imports: ['pandas', 'numpy', 'matplotlib', 'json', 're', 'datetime', 'math', | |
| │ 'statistics', 'itertools'] | |
| ├── 📝 Description: Executes Python code and performs computational logic through code interpretation | |
| └── 🛠️ Tools: | |
| ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| ┃ Name ┃ Description ┃ Arguments ┃ | |
| ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ final_answer │ Provides a final answer to the given │ answer (`any`): The final answer to the │ | |
| │ │ problem. │ problem │ | |
| └──────────────┴───────────────────────────────────────────┴──────────────────────────────────────────┘ | |
| ``` | |