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Agent system for GAIA benchmark
Architecture
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 │
└──────────────┴───────────────────────────────────────────┴──────────────────────────────────────────┘