GT AI OS Community v2.0.33 - Add NVIDIA NIM and Nemotron agents

- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
2025-12-12 17:47:14 -05:00
commit 310491a557
750 changed files with 232701 additions and 0 deletions
--- a/apps/resource-cluster/app/api/templates.py
+++ b/apps/resource-cluster/app/api/templates.py
@@ -0,0 +1,125 @@
+"""
+Agent template library API endpoints
+"""
+
+from fastapi import APIRouter, HTTPException, Depends
+from typing import Dict, Any, List
+from pydantic import BaseModel, Field
+import logging
+
+from app.core.security import capability_validator, CapabilityToken
+from app.api.auth import verify_capability
+
+router = APIRouter()
+logger = logging.getLogger(__name__)
+
+
+class TemplateResponse(BaseModel):
+    """Agent template response"""
+    template_id: str = Field(..., description="Template identifier")
+    name: str = Field(..., description="Template name")
+    description: str = Field(..., description="Template description")
+    category: str = Field(..., description="Template category")
+    configuration: Dict[str, Any] = Field(..., description="Template configuration")
+
+
+@router.get("/", response_model=List[TemplateResponse])
+async def list_templates(
+    token: CapabilityToken = Depends(verify_capability)
+) -> List[TemplateResponse]:
+    """List available agent templates"""
+    
+    # Template library with predefined agent configurations
+    templates = [
+        TemplateResponse(
+            template_id="research_assistant",
+            name="Research & Analysis Agent",
+            description="Specialized in information synthesis and analysis",
+            category="research",
+            configuration={
+                "model": "llama-3.1-70b-versatile",
+                "temperature": 0.7,
+                "capabilities": ["llm:groq", "rag:semantic_search", "tools:web_search"]
+            }
+        ),
+        TemplateResponse(
+            template_id="coding_assistant",
+            name="Software Development Agent",
+            description="Focused on code quality and best practices",
+            category="development",
+            configuration={
+                "model": "llama-3.1-70b-versatile",
+                "temperature": 0.3,
+                "capabilities": ["llm:groq", "tools:github_integration", "resources:documentation"]
+            }
+        )
+    ]
+    
+    return templates
+
+
+@router.get("/{template_id}")
+async def get_template(
+    template_id: str,
+    token: CapabilityToken = Depends(verify_capability)
+) -> TemplateResponse:
+    """Get specific agent template"""
+    
+    try:
+        # Template library - in production this would be stored in database/filesystem
+        templates = {
+            "research_assistant": TemplateResponse(
+                template_id="research_assistant",
+                name="Research & Analysis Agent",
+                description="Specialized in information synthesis and analysis",
+                category="research",
+                configuration={
+                    "model": "llama-3.1-70b-versatile",
+                    "temperature": 0.7,
+                    "capabilities": ["llm:groq", "rag:semantic_search", "tools:web_search"],
+                    "system_prompt": "You are a research agent focused on thorough analysis and information synthesis.",
+                    "max_tokens": 4000,
+                    "tools": ["web_search", "document_analysis", "citation_formatter"]
+                }
+            ),
+            "coding_assistant": TemplateResponse(
+                template_id="coding_assistant",
+                name="Software Development Agent",
+                description="Focused on code quality and best practices",
+                category="development",
+                configuration={
+                    "model": "llama-3.1-70b-versatile",
+                    "temperature": 0.3,
+                    "capabilities": ["llm:groq", "tools:github_integration", "resources:documentation"],
+                    "system_prompt": "You are a senior software engineer focused on code quality, best practices, and clean architecture.",
+                    "max_tokens": 4000,
+                    "tools": ["code_analysis", "github_integration", "documentation_generator"]
+                }
+            ),
+            "creative_writing": TemplateResponse(
+                template_id="creative_writing",
+                name="Creative Writing Agent",
+                description="Specialized in creative content generation",
+                category="creative",
+                configuration={
+                    "model": "llama-3.1-70b-versatile",
+                    "temperature": 0.9,
+                    "capabilities": ["llm:groq", "tools:style_guide"],
+                    "system_prompt": "You are a creative writing agent focused on engaging, original content.",
+                    "max_tokens": 4000,
+                    "tools": ["style_analyzer", "plot_generator", "character_development"]
+                }
+            )
+        }
+        
+        template = templates.get(template_id)
+        if not template:
+            raise HTTPException(status_code=404, detail=f"Template '{template_id}' not found")
+        
+        return template
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Template retrieval failed: {e}")
+        raise HTTPException(status_code=500, detail=f"Template retrieval failed: {str(e)}")