SSE Event-Contract Design for Frontend Communication with Intelligent Agents: An Analytical Architectural Perspective
Keywords:
server-sent events, intelligent agents, frontend architecture, React, streaming protocols, agent communication, generative UI, observability, RAG, output validationAbstract
This article develops an analytical architectural perspective on the use of Server-Sent Events (SSE) in frontend communication with intelligent agents in user-facing systems. The study synthesizes a bounded corpus of ten publications spanning real-time web transport, agent communication protocols, multi-agent orchestration, dynamic interface generation, observability, retrieval-grounded generation, output-layer security, and lifecycle evaluation. The purpose is to formulate a transparent conceptual model of browser-facing event streaming and to derive architecture-level design propositions for stable rendering, controlled state exposure, observable execution, governed latency handling, and tenant-safe delivery. The analysis indicates that SSE is analytically well-suited to browser-facing agent streaming when implemented as a typed event channel within a broader event-governed architecture. The article should therefore be read as a conceptual architectural proposal for React-based interfaces, agent platforms, and production teams designing streaming assistants.
References
[1] Asgari, A., Panichella, A., Derakhshanfar, P., & Olsthoorn, M. (2025). What Challenges Do Developers Face in AI Agent Systems? An Empirical Study on Stack Overflow. CoRR, abs/2510.25423. https://doi.org/10.48550/arXiv.2510.25423
[2] Brown, A., Roman, M., & Devereux, B. (2025). A systematic literature review of retrieval-augmented generation: Techniques, metrics, and challenges. Big Data and Cognitive Computing, 9(12), 320. https://doi.org/10.3390/bdcc9120320
[3] Chen, X., Li, Y., & Wang, X. (2025). Design Principles and Guidelines for LLM Observability: Insights from Developers. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), 177:1–177:9. https://doi.org/10.1145/3706599.3719914
[4] Hojo, N., Shinoda, K., Yamazaki, Y., Suzuki, K., Sugiyama, H., Nishida, K., & Saito, K. (2025). GenerativeGUI: Dynamic GUI generation leveraging LLMs for enhanced user interaction on chat interfaces. In Extended abstracts of the CHI conference on human factors in computing systems (CHI EA ’25) (Article 306, pp. 1–9). Association for Computing Machinery. https://doi.org/10.1145/3706599.3719743
[5] Kong, D., Lin, S., Xu, Z., Wang, Z., Li, M., Li, Y., Zhang, Y., Sha, Z., Li, Y., Lin, C., Wang, X., Liu, X., Khan, K., Zhang, N., Chen, C., & Han, M. (2025). A survey of LLM-driven AI agent communication: Protocols, security risks, and defense countermeasures. arXiv. https://doi.org/10.48550/arXiv.2506.19676
[6] Li, X., Wang, S., Zeng, S., et al. (2024). A survey on LLM-based multi-agent systems: Workflow, infrastructure, and challenges. Vicinagearth, 1, 9. https://doi.org/10.1007/s44336-024-00009-2
[7] Lu, Q., Zhao, D., Liu, Y., Zhang, H., Zhu, L., Xu, X., Shi, A., Tan, T., & Kazman, R. (2026). AgentArcEval: An architecture evaluation method for foundation model based agents. Journal of Systems and Software, 232, 112656. https://doi.org/10.1016/j.jss.2025.112656
[8] Murley, P., Ma, Z., Mason, J., Bailey, M., & Kharraz, A. (2021). WebSocket adoption and the landscape of the real-time web. In Proceedings of the Web Conference 2021 (pp. 1192–1203). https://doi.org/10.1145/3442381.3450063
[9] Podpora, M., Baranowski, M., Chopcian, M., Kwasniewicz, L., & Radziewicz, W. (2026). LLM firewall using validator agent for prevention against prompt injection attacks. Applied Sciences, 16(1), 85. https://doi.org/10.3390/app16010085
[10] Xia, B., Lu, Q., Zhu, L., Xing, Z., Zhao, D., & Zhang, H. (2024). Evaluation-driven development and operations of LLM agents: A process model and reference architecture. arXiv. https://arxiv.org/abs/2411.13768
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tounzal Elias
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who submit papers with this journal agree to the following terms.
