DRAFT: agent-server runtime LLM switching

[enyst]

Mirror of upstream OpenHands#1544 for fork AI reviews.

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[gemini-code-assist]

Summary of Changes

Hello @enyst, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a significant enhancement by enabling runtime switching of Large Language Models (LLMs) for agents within the system. It refines the underlying persistence mechanisms to ensure that LLM changes are correctly saved and restored across sessions, supporting both profile-based and inline LLM configurations. The changes include new API endpoints for both the SDK and the agent-server, along with updated documentation and examples, to provide a flexible and robust solution for dynamic LLM management.

Highlights

• Runtime LLM Switching: Introduces the ability for agents to switch their primary Large Language Model (LLM) at runtime, with these changes being persisted across conversation sessions. This allows for dynamic adaptation of agent behavior without restarting the entire system.
• Persistence Model Refinement: Updates the conversation persistence model to store LLMs either as profile_id references or as full inline payloads in base_state.json. It also ensures that inline LLMs can restore without external reconciliation by exposing secrets during snapshot writing.
• New SDK and Agent-Server APIs: Adds new methods to the SDK (LocalConversation.switch_llm, LocalConversation.set_llm) and new API endpoints to the agent-server (POST /api/conversations/{conversation_id}/llm, POST /api/conversations/{conversation_id}/llm/switch) to facilitate LLM switching and updates.
• Simplified Persistence Configuration: Removes the OPENHANDS_INLINE_CONVERSATIONS environment variable, streamlining the persistence logic and making LLM serialization behavior more explicit and controlled by the caller.
• Agent Component Swapping: Adjusts the AgentBase model configuration to allow for component swapping (e.g., LLMs and tools) via cloning, improving flexibility during conversation restarts and updates.
• Remote Client Guidance: Provides clear recommendations for remote clients (like the VS Code extension) on how to handle LLM profiles and switching, emphasizing the use of inline LLM payloads for remote updates.

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[gemini-code-assist]

Code Review

This pull request introduces a significant and valuable feature: runtime LLM switching for agents. It's a large but well-executed change that simplifies the SDK by removing the previous complex agent reconciliation logic and the OPENHANDS_INLINE_CONVERSATIONS mechanism. The new approach to persistence and conversation restoration is more flexible and powerful. The changes are consistently applied across the SDK, agent-server, examples, and tests. The new documentation and examples are clear and helpful for understanding the new feature. I have a couple of suggestions to improve the maintainability of the new code, but overall, this is an excellent improvement.

[enyst]

Addressed Gemini review: deduped agent-server LLM update wiring via helper and replaced hardcoded restore-time LLM overlay list with a module constant.