Gemini Session Management Strategies
Goal
Manage the "Session"—the turn-by-turn record of a conversation—to ensure the agent maintains immediate context without exceeding token limits or incurring high latency.
Core Concepts
1. The Session Object
- •Definition: A stateful container for a single, continuous conversation with a specific user. It isolates data so one user never sees another's context.
- •Components:
- •Events: The chronological log of interactions (User Input, Agent Response, Tool Calls, Tool Outputs).
- •State: A structured "scratchpad" for temporary working memory (e.g., items in a shopping cart) that persists only for the session duration.
Compaction Strategies (Managing Long Context)
As conversations grow, they risk "context rot" (model forgetting early details) and high latency. Use these strategies to manage history:
Strategy A: Sliding Window (Truncation)
- •Mechanism: Keep only the last $N$ turns (e.g., last 10 messages). Discard everything older.
- •Best For: Simple, reactive agents where long-term history doesn't matter.
- •Implementation:
python
# Example logic if len(history) > 10: history = history[-10:]
Strategy B: Recursive Summarization
- •Mechanism: Periodically use an LLM to summarize the oldest part of the conversation and replace the raw messages with that summary.
- •Structure:
- •System Prompt: (Static instructions)
- •Summary: "Previously, the user asked about X and we determined Y..."
- •Recent History: (Last 5-10 verbatim messages)
- •Trigger: Run this process asynchronously in the background when the turn count exceeds a threshold (e.g., every 5 turns).
Production Best Practices
- •Async Processing: Never block the user while saving the session. Upload context to storage (database) as a background event after the response is sent.
- •PII Redaction: Always redact sensitive data (names, credit cards) before writing the session to persistent storage.
- •Immutability: Treat the chronological order of events as immutable to ensure data integrity.