Documentation Index
Fetch the complete documentation index at: /llms.txt
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| Component | Description |
|---|---|
| Multi-Agent Orchestration | Define agent behaviors, skills, and integrations through low-code, declarative programming. Give agents advanced reasoning and planning skills to analyze their environment, act effectively, and operate autonomously. Supports real-time streaming across voice and chat channels. |
| Tools & Integrations | Build reusable tools agents invoke to perform tasks or access external systems. Create tools via visual workflow builders, custom JavaScript or Python, pre-built enterprise connectors, or external API integrations. |
| Knowledge & RAG | Enable context-aware responses with hybrid retrieval-augmented generation. Supports agentic retrieval where multiple agents collaborate to find information, and adapts to user preferences, current tasks, and interaction history. |
| Model Hub | Deploy and manage AI models including fine-tuned domain-specific models. Use any AI model—OpenAI, Anthropic, Google, or custom—and seamlessly integrate open-source models and third-party providers. |
| Prompt Studio | Design, test, and optimize prompts collaboratively with real-time co-editing, commenting, and version tracking. Compare prompts across models, use variables, and deploy through an integrated prompt library. |
| Evaluation Studio | Measure AI performance with AI-driven automated assessments and human evaluator insights. Use customizable scoring rubrics and real-time performance monitoring to tailor evaluation criteria and improve agent quality. |
| AI Safety & Guardrails | Ensure responsible agent operations with PII anonymization, input/output guardrails, advanced content filtering, and granular role-based access controls. Maintain compliance with data protection regulations. |
| Analytics & Observability | Gain deep insights into agent performance through detailed activity capture, session logs, conversation histories, and usage metrics. Includes end-to-end tracing of agent orchestration and streaming of agent thoughts for transparency. |
| Interaction Context | Manage interaction state throughout its entire lifecycle. Maintain continuity across sessions by tracking previous interactions, user preferences, and relevant data to provide contextually appropriate responses. |
| Agent Protocol | Communicate seamlessly between agents, tools, and external systems using a standardized protocol. Supports multi-modal content, real-time streaming, and flexible API design for integration with any external system. |
| Marketplace | Access a comprehensive library of pre-built agents, tools, and extensions across diverse domains and use cases. Accelerate development with customizable templates, connectors, and sample implementations. |
| Enterprise CI/CD | Manage granular versioning and multi-stage deployments across separate environments (QA, UAT, Prod). Ensure consistent deployments, thorough testing and validation, and a rigorous software development lifecycle for agent-based solutions. |
| Collaboration & Audit | Facilitate streamlined team collaboration with customizable roles and permissions. Maintain traceability, accountability, and compliance through comprehensive audit logs that track all Platform activities. |
| SDK | Build and integrate Platform capabilities with comprehensive SDK for custom agents, tools, Search/RAG, and observability traces. Available for developers to efficiently extend and embed Platform functionality. |
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