what is the alternative

Responding to "what is the alternative" — here are the concise alternatives you can use instead of calling

generate_reply()

/

update_instructions()

/

update_chat_ctx()

with Gemini 3.1. • Use Gemini 2.5 (or OpenAI) for sessions that need mid-session updates ◦ Route traffic requiring

generate_reply()

or agent handoffs to a model that supports mutable chat context. • Client-side fallback (keep mutable state in your app) ◦ Store instructions, history, and agent state locally. For each user turn, compose a prompt that includes the up‑to‑date instructions + history and call the model’s standard chat/completion endpoint once. Do not call mid‑session update APIs for Gemini 3.1. • Hybrid routing (mixed-model architecture) ◦ Detect capabilities at runtime and route each session or each request to the appropriate model: Gemini 3.1 for single-seed voice/audio flows; Gemini 2.5/OpenAI for dynamic flows. • Pre-seed exhaustive context at session start ◦ Provide as much context and instructions as possible in the initial seed so you minimize the need for mid-session updates. • App-level agent handoff emulation ◦ Perform agent handoffs in your application logic (switch which instructions or tools you include in the prompt) and then call the chat endpoint; don't rely on

session.update_agent()

for Gemini 3.1. Which alternative fits your product needs (route to 2.5/OpenAI, client-side fallback, or hybrid)? I can provide a concrete Python example for the option you choose. , with interactive elements