{"id":28747342,"url":"https://github.com/raphaelamonteiro/smartagent-websearch","last_synced_at":"2025-10-10T15:49:42.424Z","repository":{"id":291831587,"uuid":"978925348","full_name":"raphaelamonteiro/SmartAgent-WebSearch","owner":"raphaelamonteiro","description":"Agente inteligente capaz de realizar buscas na web e responder a consultas utilizando modelos de linguagem.","archived":false,"fork":false,"pushed_at":"2025-05-06T18:22:03.000Z","size":29,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-06T15:44:33.052Z","etag":null,"topics":["duckduckgo","smolagents","websearch-agent"],"latest_commit_sha":null,"homepage":"https://huggingface.co/datasets/raphaelamonteiro/SmartAgent-WebSearch","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/raphaelamonteiro.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-06T18:06:55.000Z","updated_at":"2025-05-06T18:22:07.000Z","dependencies_parsed_at":"2025-05-06T19:34:40.058Z","dependency_job_id":"844e76af-aaa2-4a74-97f6-81f1d843373e","html_url":"https://github.com/raphaelamonteiro/SmartAgent-WebSearch","commit_stats":null,"previous_names":["raphaelamonteiro/smartagent-websearch"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/raphaelamonteiro/SmartAgent-WebSearch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raphaelamonteiro%2FSmartAgent-WebSearch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raphaelamonteiro%2FSmartAgent-WebSearch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raphaelamonteiro%2FSmartAgent-WebSearch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raphaelamonteiro%2FSmartAgent-WebSearch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/raphaelamonteiro","download_url":"https://codeload.github.com/raphaelamonteiro/SmartAgent-WebSearch/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raphaelamonteiro%2FSmartAgent-WebSearch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279004568,"owners_count":26083736,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-10T02:00:06.843Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["duckduckgo","smolagents","websearch-agent"],"created_at":"2025-06-16T16:15:39.284Z","updated_at":"2025-10-10T15:49:42.410Z","avatar_url":"https://github.com/raphaelamonteiro.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🤓 Smart-Agent-WebSearch\n\nEste projeto consiste em um agente inteligente que utiliza a ferramenta de busca DuckDuckGo para realizar pesquisas na web e retornar resultados de forma eficiente. O agente usa um modelo de inferência para gerar respostas baseadas nas informações encontradas online.\n\n## Funcionalidades\n\n- **Integração com DuckDuckGo**: O agente pode realizar pesquisas diretamente no DuckDuckGo.\n- **Respostas baseadas em modelos de IA**: Utiliza um modelo de inferência para analisar e retornar as respostas.\n- **Facilidade de uso**: Basta passar a consulta que o agente retorna a resposta.\n\n## Tecnologias Utilizadas\n\n- **Python**: Linguagem principal utilizada para desenvolver o agente.\n- **SmolAgents**: Biblioteca para criar e configurar o agente inteligente.\n- **DuckDuckGo API**: Usado para realizar as pesquisas na web.\n- **Modelos de Inferência**: Utiliza modelos de IA para processar as respostas.\n\n## Como Usar\n\n1. Clone o repositório:\n\n   ```bash\n   git clone https://github.com/seu-usuario/Smart-Agent-WebSearch.git\n\n2. Instale as dependências:\n\n   ```bash\n   pip install smolagents\n   ```\n\n3. Execute o código:\n\n   ```python\n   from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel\n\n   # Inicialize o modelo\n   model = InferenceClientModel()\n\n   # Inicialize a ferramenta de busca\n   search_tool = DuckDuckGoSearchTool()\n\n   # Crie o agente com a ferramenta de busca\n   agent = CodeAgent(tools=[search_tool], model=model)\n\n   # Execute uma consulta\n   response = agent.run(\"Qual a altura do Cristo Redentor?\")\n   print(response)\n   ```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraphaelamonteiro%2Fsmartagent-websearch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraphaelamonteiro%2Fsmartagent-websearch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraphaelamonteiro%2Fsmartagent-websearch/lists"}