Infosys Agentic Foundry

Key Features & Capabilities

• Simplified Agent & Tool Management
• Pro-Code Agent Creation: Automates setup using tool logic and workflow definitions, reducing development time.
• Agent & Tool Lifecycle Management: Seamless onboarding, updating, and removal within the framework.
• In-Platform Customization: Modify tools, workflows, and control logic without external IDEs or redeployment.
• Reusable Components: Modular, self-contained agents/tools promote consistency and speed across projects.
• Tool Configuration: Agents use external functions (tools) for tasks like web search, calculations, or DB queries. Secure connection management avoids embedding credentials. Tools can be created using natural language queries.
• Advanced Agent Templates
• ReAct Agent: Uses reasoning traces and iterative tool execution for precise single-task operations.
• Multi-Agent System: Based on Planner-Executor-Critic model. Planner creates step-by-step plans, Executor performs tasks, Critic scores outputs. Supports automated and Human-in-the-Loop (HITL) modes.
• Meta-Agent: Acts as Supervisor, orchestrating ReAct, Multi-Agent, or hybrid workers. Dynamically selects agents, aggregates responses, and delivers final output.
• Human-in-the-Loop (HITL) & Feedback Mechanisms
• HITL Integration: Manual checkpoints allow human oversight during critical decision-making steps.
• Feedback-Driven Learning: Structured/unstructured feedback loops improve agent performance over time. Admins manage feedback via a dedicated interface.
• Tool Interrupt: Users can review, modify, and approve tool calls step-by-step, enhancing transparency and control.
• Robust Evaluation Frameworks
• Ground Truth-Based Evaluation: Compares agent outputs with golden datasets using metrics like:
• SBERT Similarity
• TF-IDF Cosine Similarity
• Jaccard Similarity
• ROUGE (ROUGE-1, ROUGE-L)
• BLEU Score
• Sequence Match Ratio
• Exact/Fuzzy Match
• Optional LLM Score
• Includes LLM-based summary and downloadable report.
• LLM-as-a-Judge Evaluation: Qualitative scoring using LLMs without predefined answers. Metrics include:
• Tool Utilization Efficiency: Tool selection accuracy, usage efficiency, precision, success rate.
• Agent Efficiency Score: Task decomposition, reasoning relevance, coherence, robustness, groundedness, fluency.
• Results visualized via Admin Dashboard with filters (agent name, type, model, score threshold).
• Enterprise-Grade Observability & Deployment
• Telemetry & Monitoring: Uses Open Telemetry, Arize Phoenix, and Grafana for tracing, observability, and real-time dashboards. Tracks LLM inputs/outputs, prompts, errors, and agent states.
• CI/CD Pipeline: Automates Docker image creation and deployment across containerized environments and Kubernetes clusters. Ensures consistency and reduces manual errors.
• Azure Kubernetes Deployment: Containerized via Docker and deployed on AKS. Supports auto-scaled microservices for agility and fast recovery.
• Versatile Agent Offerings & Management
• Agent-as-a-Service: Framework-based solution for configuring agents/tools with conversational interfaces.
• Vertical Agents: Domain-specific agents for Finance, Healthcare, Insurance, Retail, Communication, and Manufacturing.
• Horizontal Agents: Cross-domain functionalities like Email, File Search, Agentic RAG, and SDLC.
• User & Admin Management: Admin Screen with Role-Based Access Control (RBAC). Roles include Admin, Developer, and User, each with specific permissions for registration, onboarding, feedback approval, and evaluation.