Files
spring-ai/chat-memory/output/24-memory-with-tool-calling.txt
Claude 823f6fac5b Add chat-memory module: MessageWindowChatMemory, JDBC and Redis repositories, per-user conversation IDs
Real PostgreSQL 16 and Redis Stack 7.4; 24 tests write output/01-24. Covers the 20-message
default window with no property, the 36-character conversation_id, tool messages dropped by
JdbcChatMemoryRepository, concurrent add() on one conversation, a 1.x table under the 2.0
repository, the Redis repository silently backing off for a custom ChatMemory, and the
removal of PromptChatMemoryAdvisor.

Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01Ja4jkzrbQ4LQZBNrb5mkZE
2026-09-24 15:56:47 +00:00

16 lines
502 B
Plaintext

# MessageChatMemoryAdvisor + ToolCallingAdvisor
Advisor.DEFAULT_CHAT_MEMORY_PRECEDENCE_ORDER = HIGHEST_PRECEDENCE + 200
ToolCallingAdvisor.DEFAULT_ORDER = HIGHEST_PRECEDENCE + 300
answer: It is 31C in Mumbai.
model calls: 2
What the model was sent on each call:
call 1: U:Weather in Mumbai?
call 2: U:Weather in Mumbai? | A:[tool call currentWeather] | T:[tool result "31C in Mumbai"]
Stored in memory afterwards:
USER Weather in Mumbai?
ASSISTANT It is 31C in Mumbai.