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🤖 Anthropic Agent API

API completa para gerenciar agentes Anthropic com MCPs e workflows assíncronos

\n \n

🧠 Agentes Inteligentes

Claude Sonnet 4 com thinking mode
1M tokens de contexto
64k tokens de output máximo
32k budget tokens
System prompts personalizáveis

\n \n

🔗 MCPs Integrados

Firecrawl Web scraping
Serper.dev Google Search
Semrush SEO Analysis

\n \n

🔄 Workflows Avançados

Pipeline de agentes sequenciais
Mapeamento de input/output
Execução assíncrona
Monitoramento em tempo real

\n \n

📊 Monitoramento

Status de execuções em tempo real
Logs detalhados
Estatísticas de uso
Retry de execuções falhadas

\n \n

⚠️ Variáveis de Ambiente Necessárias

ANTHROPIC_API_KEY - Chave da API Anthropic
FIRECRAWL_API_KEY - Chave da API Firecrawl
SERPER_API_KEY - Chave da API Serper.dev
SEMRUSH_API_KEY - Chave da API Semrush

\n \n

🚀 Quick Start

1. Criar um Agente de Pesquisa Web:

\nPOST /api/agents\nContent-Type: application/json\n\n{\n  \"name\": \"Web Research Agent\",\n  \"description\": \"Agente especializado em pesquisa web\",\n  \"system_prompt\": \"Você é um especialista em pesquisa web. Use as ferramentas disponíveis (Firecrawl para scraping e Serper para busca) para encontrar informações relevantes e precisas. Sempre cite suas fontes e forneça análises detalhadas.\",\n  \"mcps\": [\n    {\n      \"type\": \"firecrawl\",\n      \"enabled\": true,\n      \"config\": {\n        \"formats\": [\"markdown\"],\n        \"onlyMainContent\": true\n      }\n    },\n    {\n      \"type\": \"serper\",\n      \"enabled\": true,\n      \"config\": {\n        \"type\": \"search\",\n        \"location\": \"Brazil\"\n      }\n    }\n  ]\n}\n

\n \n

2. Executar o Agente:

\nPOST /api/agents/{agent_id}/execute\nContent-Type: application/json\n\n{\n  \"input\": \"Pesquise sobre as últimas tendências em inteligência artificial para 2024\",\n  \"context\": {\n    \"user_id\": \"user123\",\n    \"preferences\": {\n      \"detail_level\": \"high\",\n      \"language\": \"pt-BR\"\n    }\n  }\n}\n

\n \n

3. Verificar Status da Execução:

\n \nGET /api/executions/{execution_id}/status\n \n

\n \n

📊 Exemplos de Input por Tipo de Agente

\n \n

🔍 Agente de Pesquisa Web (Firecrawl + Serper)

\n{\n  \"input\": {\n    \"query\": \"inteligência artificial 2024\",\n    \"focus\": \"tendências e inovações\",\n    \"sources_needed\": 5,\n    \"language\": \"português\"\n  }\n}\n\n// Ou para scraping específico:\n{\n  \"input\": {\n    \"task\": \"scrape_and_analyze\",\n    \"url\": \"https://example.com/article\",\n    \"analysis_type\": \"content_summary\"\n  }\n}\n

\n \n

📈 Agente SEO (Semrush + Serper)

\n{\n  \"input\": {\n    \"domain\": \"example.com\",\n    \"analysis_type\": \"keyword_research\",\n    \"competitors\": [\"competitor1.com\", \"competitor2.com\"],\n    \"target_market\": \"Brazil\"\n  }\n}\n

\n \n

🔄 Workflow de Múltiplos Agentes

\n// 1. Criar o workflow:\nPOST /api/workflows\n{\n  \"name\": \"Research and Analysis Pipeline\",\n  \"description\": \"Pipeline de pesquisa e análise\",\n  \"agents\": [\n    {\n      \"agent_id\": \"research-agent-id\",\n      \"order\": 1,\n      \"input_mapping\": {},\n      \"output_mapping\": {\n        \"research_results\": \"text\",\n        \"sources\": \"sources\"\n      }\n    },\n    {\n      \"agent_id\": \"analysis-agent-id\", \n      \"order\": 2,\n      \"input_mapping\": {\n        \"data_to_analyze\": \"research_results\",\n        \"source_urls\": \"sources\"\n      },\n      \"output_mapping\": {}\n    }\n  ]\n}\n\n// 2. Executar o workflow:\nPOST /api/workflows/{workflow_id}/execute\n{\n  \"input\": {\n    \"topic\": \"inteligência artificial 2024\",\n    \"research_depth\": \"comprehensive\",\n    \"target_audience\": \"desenvolvedores\"\n  }\n}\n

\n \n

\n \n \n \n \n\n","deleted","label",[167,149],"frontend","permalink","https://www.val.town/x/diegoivo/sdkAnthropic/code/frontend/swagger.html","extension","html","actionData","errors"]