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Declarative pipeline configuration\n├── custom_jenkins/Dockerfile  # Jenkins DinD container setup\n├── Dockerfile                 # Multi-stage application container\n└── app/                       # Application source code\n```\n\n### AWS Services Integration\n- **ECS Cluster**: `multi-aiagent-cluster`\n- **ECS Service**: `multi-ai-agent-service-1`\n- **ECR Repository**: `multiaiagent`\n- **Region**: `us-east-1`\n\n## Application Stack\n\n- **LLM Models**: `llama-3.3-70b-versatile`, `openai/gpt-oss-120b`\n- **Agent Framework**: LangGraph ReAct pattern\n- **API Gateway**: FastAPI with Pydantic validation\n- **Search Integration**: Tavily API\n\n## Deployment\n\n### Production (AWS ECS Fargate)\n```bash\n# Triggered via Jenkins pipeline\naws ecs update-service --cluster multi-aiagent-cluster \\\n  --service multi-ai-agent-service-1 --force-new-deployment\n```\n\n### Local Development\n```bash\ndocker build -t multiaiagent .\ndocker run -p 8000:8000 -p 8501:8501 multiaiagent\n```\n\n## API Specification\n\n```http\nPOST /chat\nContent-Type: application/json\n\n{\n  \"model_name\": \"llama-3.3-70b-versatile\",\n  \"system_prompt\": \"You are a helpful assistant\",\n  \"messages\": [\"Hello\"],\n  \"allow_search\": false\n}\n```\n\n## Environment Configuration\n\n```bash\nGROQ_API_KEY=\u003cgroq_api_key\u003e\nTAVILY_API_KEY=\u003ctavily_api_key\u003e\nAWS_REGION=us-east-1\nECR_REPO=multiaiagent\n```\n\n## Complete Architecture\n\n![Complete Architecture](img/Complete-achitecture.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnasim-raj-laskar%2Fpolyaiagent-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnasim-raj-laskar%2Fpolyaiagent-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnasim-raj-laskar%2Fpolyaiagent-pipeline/lists"}