RunLLM has announced the public beta launch of RunLLM v2, a major upgrade to its AI Support Engineer platform designed to transform how technical support is delivered in developer-centric organizations. The latest version introduces agentic planning, customizable workflows, enterprise-grade integrations, and a redesigned interface tailored for modern support teams.
Originally launched in early 2025, RunLLM was built to handle complex technical queries by interpreting product documentation, GitHub issues, and chat logs. Since its debut, the platform has delivered thousands of accurate, context-aware responses each week. With version 2, RunLLM advances this mission by offering deeper control, increased scalability, and improved reliability.
One of the most notable additions is a new Agentic Planner, which orchestrates specialized large language model (LLM) agents capable of step-by-step reasoning and tool invocation. This enables the platform to automate sophisticated support tasks such as diagnostics, telemetry analysis, and bug validation.
Support leaders can now define how agents behave using a Python SDK, customizing everything from escalation paths to communication tone. A refreshed user interface provides greater transparency, allowing teams to monitor performance, manage agent workflows, and review interactions with ease.
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Early adopters are already reporting significant operational gains. According to RunLLM, some organizations have seen up to 90% ticket deflection and a sixfold increase in query-handling capacity without expanding headcount. One customer, DataHub, reported saving over $1 million in engineering costs, while another, Corelight, achieved a 30% workload reduction and faster resolution times.
“RunLLM v2 is the result of months of hands-on collaboration with some of the most forward-thinking support and engineering teams,” the company said. “It’s designed to turn support from a cost center into a product and growth advantage.”
The platform is already in use across multiple engineering organizations and integrates with popular tools like Slack, GitHub, Zendesk, and Jira. With more enhancements on the roadmap—including smarter insight generation and proactive escalations, RunLLM aims to establish itself as the backbone of next-generation technical support.
Source: RunLLM