Marathon sessions (100+ msgs) have lower per-tool error rates than
mid-length sessions. This implements warm session provisioning to
pre-seed new sessions with successful tool-call patterns.
agent/warm_session.py:
- WarmSessionTemplate dataclass with ToolCallExample entries
- extract_successful_patterns() mines SessionDB for marathon sessions
- build_warm_conversation() converts templates into conversation_history
- save/load/list templates persisted to ~/.hermes/warm_sessions/
tools/warm_session_tool.py:
- warm_session tool with build/list/load/delete actions
- Registered in the skills toolset
Usage:
Agent calls warm_session(action='build', name='general') to mine patterns
from existing marathon sessions. Then new sessions can start with the
warm conversation_history injected via run_conversation().
Integration:
No changes to run_agent.py needed — the existing conversation_history
parameter already handles this. The warm tool builds the history,
caller injects it.
21 tests added, all passing.
Closes#327
5eef3fed1a