AgenticAnts Docs
Welcome to the AgenticAnts Documentation - your comprehensive guide to building, deploying, and managing AI agents at scale.
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What is AgenticAnts?
AgenticAnts is an AI Command Center delivering enterprise-grade observability, security, and cost management for AI agents and GenAI apps. A built-in Discovery & Visibility Platform inventories agents, models, tools, services, and data lineages, while LLMOps serves as the foundation—powering the three pillars of FinOps, SRE, and Security Posture to give you complete control over your agentic workforce.
Ants Platform Overview
LLMOps Framework
Built on a robust LLMOps foundation, the Ants Platform enables the rapid development and deployment of advanced AI use cases through three core capabilities:
Observability in LLM Applications
Observability is essential for understanding and debugging LLM applications. Unlike traditional software, LLM applications involve complex, non-deterministic interactions that can be challenging to monitor and debug. AgenticAnts provides comprehensive tracing capabilities that help you understand exactly what's happening in your application.
- Traces include all LLM and non-LLM calls, including retrieval, embedding, API calls, and more.
- Support for tracking multi-turn conversations as sessions and user tracking.
- Capture traces via our native SDKs for Python/JS, 50+ library/framework integrations, OpenTelemetry, or via an LLM Gateway such as LiteLLM.
- Based on OpenTelemetry to increase compatibility and reduce vendor lock-in.
Prompt Management
Prompt Management is critical in building effective LLM applications. AgenticAnts provides tools to help you manage, version, and optimize your prompts throughout the development lifecycle.
- Manage, version, and optimize your prompts throughout the development lifecycle
- Test prompts interactively in the LLM Playground
- Run Experiments against datasets to test new prompt versions directly within Ants Platform
Evaluation
Evaluation is crucial for ensuring the quality and reliability of your LLM applications. AgenticAnts provides flexible evaluation tools that adapt to your specific needs, whether you're testing in development or monitoring production performance.
- Get started with different evaluation methods: LLM-as-a-judge, user feedback, manual labeling, or custom
- Identify issues early by running evaluations on production traces
- Create and manage Datasets for systematic testing in development that ensure your application performs reliably across different scenarios
- Run Experiments to systematically test your LLM application
Explore the complete LLMOps Framework →
FinOps - AI Cost Optimization
FinOps for AI brings financial accountability to AI operations. As AI costs can quickly spiral out of control with token usage, model selection, and scaling demands, AgenticAnts provides comprehensive cost management to help you understand, control, and optimize your AI spending across the entire organization.
- Token Usage Monitoring - Track every API call and token consumption across all models and agents
- Cost Per Customer Query - Attribute costs to specific customers, teams, and use cases for accurate billing
- Contract Optimization - Optimize LLM provider contracts based on actual usage patterns and negotiate better rates
- ROI Analytics - Measure the financial impact of your AI investments with detailed cost-benefit analysis
SRE - AI Reliability Engineering
SRE for AI ensures your AI systems are reliable, performant, and scalable. Unlike traditional applications, AI systems have unique reliability challenges including non-deterministic outputs, model latency variations, and complex dependencies. AgenticAnts provides specialized SRE capabilities designed specifically for AI operations to maintain high availability and performance.
- End-to-End Tracing - Complete visibility into agent execution flows from request to response
- Performance Analytics - Track latency, throughput, error rates, and quality metrics across all agents
- Automated Incident Response - Smart alerts and automated remediation to reduce MTTR and prevent outages
- Real-time Monitoring - Live dashboards for production systems with customizable metrics and alerting
Security Posture - AI Security Control
Security Posture for AI protects your systems, data, and users from AI-specific security risks. AI applications introduce unique security challenges including data leakage through prompts, prompt injection attacks, and compliance requirements for AI-generated content. AgenticAnts provides comprehensive security controls to safeguard your AI operations and maintain regulatory compliance.
- PII Detection & Protection - Automatically detect and redact sensitive data in inputs, outputs, and training data
- Security Guardrails - Prevent harmful outputs, prompt injections, and policy violations with real-time filtering
- Compliance Reporting - SOC2, GDPR, HIPAA-ready audit trails with automated compliance report generation
- RBAC & Access Control - Enterprise-grade permissions management for teams, projects, and data access
Learn more about Security Posture →
Popular Integrations
AgenticAnts integrates seamlessly with your existing AI stack:
Available Now:
- SDKs: JavaScript/TypeScript, Python, OpenTelemetry
- DevOps Tools: JIRA, Slack
Coming Soon:
- AI Frameworks: LangChain, LlamaIndex, Semantic Kernel, AutoGen, Haystack
- No-Code Tools: Flowise, Langflow, Dify.AI, n8n, LobeChat
- AI Gateways: OpenRouter, LiteLLM Proxy
- Enterprise Tools: ServiceNow
Support & Community
- Documentation: You're here! Browse the docs for detailed guides.
- Discord Community: Join our Discord (opens in a new tab) for support and discussions.
- GitHub: Report issues (opens in a new tab) and contribute.
- Email Support: sales@agenticants.ai for enterprise support.