Clayton Brown 18ac47f5d6 feat: generic AI trading agent interface (#264) ... Standardized input/output contract for all agents, enabling pluggable composition and benchmarking. - AgentInput/AgentOutput Pydantic schemas (5-tier rating, confidence, targets) - BaseAgent abstract class with analyze(input) -> output contract - AgentRegistry for pluggable agent discovery - Existing analysts refactored to implement BaseAgent - Agent benchmarking: compare outputs across different LLM backends Closes #264		2026-04-21 08:25:27 +10:00
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agent_states.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
agent_utils.py	feat: multi-language output support for analyst reports and final decision (#472)	2026-03-29 19:19:01 +00:00
core_stock_tools.py	minor fix	2025-09-26 23:25:33 +08:00
fundamental_data_tools.py	minor fix	2025-09-26 23:25:33 +08:00
memory.py	fix: process all chunk messages for tool call logging, harden memory score normalization (#534, #531)	2026-04-13 07:21:33 +00:00
news_data_tools.py	fix: improve data vendor implementations and tool signatures	2026-02-03 22:27:20 +00:00
schemas.py	feat: generic AI trading agent interface (#264)	2026-04-21 08:25:27 +10:00
technical_indicators_tools.py	fix: normalize indicator names to lowercase (#490)	2026-04-04 07:23:31 +00:00