Enterprise-grade
AI agents
Built for production from day one. Error handling, monitoring, scaling, and enterprise features included—no additional setup required.
Enterprise Features Built-In
Robust Error Handling
Automatic retry logic, graceful degradation, and comprehensive error reporting keep your agents running smoothly.
Built-in Monitoring
Real-time metrics, execution tracing, and performance analytics out of the box. No additional monitoring setup required.
Auto-Scaling
Intelligent load balancing and resource management. Your agents scale automatically with demand.
Enterprise Security
API key rotation, secure credential management, and audit logging for compliance and security requirements.
Memory Management
Persistent agent memory, conversation history, and semantic search for context-aware responses.
Cost Optimization
Smart LLM routing, token usage tracking, and cost controls to keep your AI operations efficient and predictable.
Production Deployment
From development to production in minutes
from cogency.agent import Agent from cogency.llm import GeminiLLM from cogency.memory import SemanticMemory from fastapi import FastAPI app = FastAPI() # Production-ready agent with all features enabled agent = Agent( name="Customer Support", llm=GeminiLLM(api_key="prod-key"), memory=SemanticMemory(), # Persistent memory max_retries=3, # Error handling monitoring=True, # Built-in metrics ) @app.post("/chat") async def chat(message: str): # Production-ready endpoint with automatic scaling async for response in agent.stream(message): yield response # Real-time streaming Production ready! Error handling, monitoring, memory, and scaling are all handled automatically.
Real-time Monitoring
Built-in Metrics
- • Response time tracking
- • Error rate monitoring
- • Token usage analytics
- • Cost breakdown
- • Agent performance scores
- • Tool usage patterns
- • Memory efficiency
- • Custom metric support
Flexible Deployment
Cloud Native
Deploy to AWS, GCP, Azure with containerized scaling and managed services integration.
- • Docker containers
- • Kubernetes support
- • Auto-scaling groups
- • Load balancing
On-Premise
Full control with on-premise deployment. Air-gapped environments and enterprise security.
- • Air-gapped deployment
- • Local model hosting
- • Enterprise SSO
- • Compliance ready
Hybrid
Best of both worlds. Sensitive processing on-premise, scaling in the cloud.
- • Hybrid architectures
- • Data sovereignty
- • Edge processing
- • Seamless scaling
Ready for Production?
Deploy enterprise-grade AI agents with confidence and zero additional setup