Solon AI v4.0.5 Adds Pluggable Session Management for Stateful Java Agents

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Solon AI version 4.0.5 introduces a dedicated session management layer for Java-based AI agents, addressing the common problem of LLMs losing conversation context across multiple HTTP calls. The framework provides a ChatSession interface that stores an append-only message history and uses a configurable window size to inject only the most recent turns into each prompt, preventing unbounded token growth. An extended AgentSession interface adds workflow-state tracking, allowing agents to suspend mid-plan and resume precisely where they left off after human approval or external input. Because both conversation history and execution snapshots are stored within the same session object, a single storage backend can handle restarts and horizontal scaling without custom history tables. The design separates transient per-request data from persisted state, reducing the risk of stale or sensitive information leaking into long-term storage.

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